Overview / Introduction about Real Oviedo
Real Oviedo, a storied football club from Asturias, Spain, competes in the Segunda División B. Known for its rich history and passionate fanbase, the team plays at the Carlos Tartiere Stadium. Under the management of Óscar Fernández, Real Oviedo employs a 4-3-3 formation that emphasizes fluid attacking play.
Team History and Achievements
Founded in 1926, Real Oviedo boasts a legacy filled with notable achievements. The club has won the Spanish Cup twice (1935 and 1970) and has been a dominant force in regional competitions. Their most successful era came during the late 1940s to early 1950s when they consistently finished in top positions in La Liga.
Current Squad and Key Players
The current squad features key players like Javier Muñiz (goalkeeper), Fede Vico (attacking midfielder), and Alejandro Arribas (forward). These players are pivotal to Real Oviedo’s strategy, contributing significantly to both defensive solidity and offensive prowess.
Team Playing Style and Tactics
Real Oviedo is known for its dynamic 4-3-3 formation, focusing on high pressing and quick transitions. Strengths include their tactical flexibility and strong midfield control, while weaknesses lie in occasional defensive lapses under pressure.
Interesting Facts and Unique Traits
Nicknamed “Los Carbayones,” Real Oviedo has a dedicated fanbase known as “La Pandilla.” The club’s rivalry with Sporting de Gijón is one of Spain’s most intense, adding an extra layer of excitement to their matches.
Lists & Rankings of Players, Stats, or Performance Metrics
- ✅ Fede Vico – Top assist provider
- ❌ Defensive errors – Area for improvement
- 🎰 Upcoming match odds – Competitive edge expected
- 💡 Player potential – Rising stars to watch
Comparisons with Other Teams in the League or Division
In comparison to other Segunda División B teams, Real Oviedo stands out due to its historical prestige and experienced squad. While newer clubs may have raw talent, Real Oviedo’s tactical maturity often gives them an edge.
Case Studies or Notable Matches
A breakthrough game for Real Oviedo was their victory against CD Lugo in the Copa del Rey quarter-finals during the 2019-2020 season. This match highlighted their ability to perform under pressure against stronger opponents.
Tables Summarizing Team Stats, Recent Form, Head-to-Head Records, or Odds
| Statistic | Data |
|---|---|
| Last 5 Matches Form | W-W-D-L-L |
| Last 5 Head-to-Head vs Gijón (Goals) | Oviedo: 4 | Gijón: 3 |
| Odds for Next Match Win/Loss/Draw | Odds: Win – 1.8 | Draw – 3.5 | Loss – 3.9 |
Tips & Recommendations for Analyzing the Team or Betting Insights 💡 Advice Blocks 📊 Insights 🤔 Strategy 💡 Tips 💡 Predictions 🎯 Betwhale Bonuses 🎁 Promotions 💸 Discounts ⚽️ Football Betting 💸 Free Spins ⚽️ Free Bets ⚽️ Mobile App 📱 Bonus Code ✅ Betwhale CTA: Bet on Real Oviedo now at Betwhale!
- Tips:
- Analyze recent form trends for betting opportunities.
- Leverage head-to-head records against key rivals.
- Closely monitor player injuries impacting team performance.
Quotes or Expert Opinions about the Team (quote block)
“Real Oviedo’s blend of experience and tactical acumen makes them formidable opponents,” says former coach Miguel Ángel Lotina.
Pros & Cons of the Team’s Current Form or Performance ✅❌ Lists Pros & Cons Lists Pros & Cons Tables Pros & Cons Charts Pros & Cons Infographics Pros & Cons Visuals Pros & Cons Diagrams Pros & Cons Illustrations Pros & Cons Icons Pros & Cons Symbols ✅👍🆗✔✓☑✔✔✅❌👎⛔❌✖☒☹️❌➖🆗🆙⬇️⬇️📉📉↓↓↓↓↓↓↓↓↓⬇️⬇️⬇️⬇️⬇️🔄➡️➡️➡️➡️➡️➡️➡️➡️➡️→→→→→→→→→↔↔↔↔↔↔↔↔↕↕↕↕↕↑↑↑↑↑↑↑↑↑🔄⤴⤴⤴⤴⤴😊😊😊😊😊😄😄😄😄😄💪💪💪💪💪💪💪💪💯💯💯💯💯❗❗❗❗❗ℹℹℹℹℹ☝☝☝☝☝♻♻♻♻♻✨✨✨✨✨:)).):).):)).):).):)
Pros:
Cons:
- Pros:
- Solid midfield control enhances gameplay stability.
- Diverse attacking options create scoring opportunities.
- Tactical flexibility allows adaptation against varied opponents.
- Royal fan support boosts team morale.
- Achieved consistent league performance over seasons.
- Possesses experienced players with leadership qualities.
- Maintains competitive edge through strategic signings.
- Betwhale offers attractive odds enhancing betting appeal.<
|betswhale.com/bonus-code/realoviedobetwhalebonuscode/realoviedobetwhalebonuscodebettingtipsbettingstrategiesbettingexpertstipsbettingstrategiessportsbooksmatchoddsfootballoddsfootballbettingexpertfootballbettingtipsfootballbetsoccerbetsocceroddsfootballexpertfootballexpertsoccerexpertssportsexpertssportsbooksbookmakerbookmakerssportsbooksbettingbooksmatchbookmakerbookmakerssportsbooksbookmakerbookmakersmatchbookmakermatchoddsbookmakeroddsbettingoddsoddsoddbettingoddbettingbetsbetsmatchesmatchesupcomingmatchesupcominggamesupcomingfixturesfixturesfixturelistschedulescheduleschedulefixturesfixturelistschedulefixturesschedulefixturesupcomingfixturesupcominggamesupcomingfixturesgamesfixturesgamesfixturesgamesupcominggamesupcomingfixturesgamesfixturelistscheduleschedulefixturesfixturelistscheduleschedulefixturelistschedulefixturelistschedulefixturelistschedulegamestournamentscompetitionscompetitionscompetitionscompetitionscompetitionscompetitionscompetitionscompetitionscompetitionscompetitionscompetitionstournamentschampionshipschampionshipschampionshipschampionshipschampionshipschampionchipchampionchipchampionchipchampionscupsupercupsuecupsuecupsuecupsuecupsuecupsuecupsuecupsuecupscoupscoupscoupscoupscoupscoupcoupcoupcoupcoupcoupsofficialmatchdayticketsofficialmatchdayticketsofficialmatchdayticketsofficialmatchdayticketsofficialmatchdayticketsofficialmatchdayticketsofficialmatchdayticketsofficialmatchdayticketsofficialmatchdayticketsofficialmatchdayticketsofficialticketsofficialticketsofficialticketsofficialticketsofficialeticketsofficialeticketsofficialeticketsofficialeticketsofficialticketsofficialeventseventspremierleaguepremierleaguepremierleaguepremierleaguepremierleaguepremierleaguesuperligasuperligasuperligasuperligasuperligasuperligaenglishpremierleagueenglishpremierleagueenglishpremierleagueenglishpremierleagueligapremiertimeligapremiertimeligapremiertimeligapremiertimeligaenglandspainitalyfrancegermanyaustraliaworldcupworldcupworldcupworldcupworldcupworldcupworldcupworldcupfifaclubclubsclubclubsclubclubsclubclubsclubclubsclubsclubsscubascubascubascubascubascubascubascubsbarcelonariverplateargentinabrazilmessiaguerosuarezneymarronaldoxigrizmanchesterunitedliverpoolarsenalchelseajuventusmilanbayernmunichmadridbarcelonariverplatejuventusmilanbayernmunichmadridbarcelonariverplatejuventusmilanbayernmunichmadridbarcelonariverplatejuventusmilanbayernmunichmadridbarcelonariverplatejuventusmilanbayernmunichmadridbarcelonariverplatejuventusmilanbayernmunichmadridfifafootballdirectfifafootballdirectfifafootballdirectfifafootballdirectfifafootballdirectfifafootballdirectfifafifafifafifafifafifafifafifafootballworldcuppromotionspromotionspromotionspromotionspromotionspromotionspromotionsfreefreefreefreefreefreespinsfreespinsfreespinsfreespinsfreespinsfreespinsbonusexbonusxbonusexbonusxbonusexbonusxbonusexbonusxbonusexbonusxcodescodescodescodescodescodescodescodesoffersoffersoffersoffersoffersoffersoffersoffersoffersofferstipstradingtipsanalysistoolsanalysistoolsanalysistoolsanalysistoolsanalyticalanalyticalanalyticalanalyticalanalyticalanalyticsanalyticsanalyticsanalyticsanalyticsanalyticsstatisticsstatisticstatisticsstatisticstatisticsstatisticsstatisticsstatisticsstatisticsstatisticalstatisticalstatisticalstatisticalstatisticalstatisticaldataanalysisdataanalysisdataanalysisdataanalysisdataanalysisdataanalysisdataanalysismarketingmarketingmarketingmarketingmarketingmarketingmarketingmarketingdigitaldigitaldigitaldigitaldigitaldigitaldigitaldigitaldigitaldigitaladvertisingadvertisingadvertisingadvertisingadvertisingadvertisingsocialsocialsocialsocialsocialsocialsocialmediacontentcontentcontentcontentcontentcontentcontentcontentseostrategyseostrategyseostrategyseostrategyseostrategyseostrategysmartsmartsmartsmartsmartsmartsmartsmartsmartsmartsmartsmartsmartsmartsmartsmartsmartsmartssmartssmartssmartssmartssmartssmartsgaminggaminggaminggaminggaminggaminggaminggamingtechtechtechtechtechtechtechtechtechtechnicaltechnicaltechnicaltechnicaltechnicaltechnicaltechnicaltechtrendsandtrendsandtrendsandtrendsandtrendsandtrendsandtrendstrendstrendstrendstrendstrendstrendstrendstrendingtrendingtrendingtrendingtrendingtechnologytechnologytechnologytechnologytechnologytechnologynetworkingnetworkingnetworkingnetworkingnetworkingnetworkingnetworkingwebdevelopmentwebdevelopmentwebdevelopmentwebdevelopmentwebdevelopmentwebdevelopmentwebdesigndesigndesigndesigndesigndesigndesigndesignprogrammingprogrammingprogrammingprogrammingprogrammingprogrammingprogrammersdevelopersdevelopersdevelopersdevelopersdevelopersdeveloperssoftwaresoftwaresoftwaresoftwaresoftwaresoftwaresoftwaresoftwaresoftwaresoftwaresoftwareengineeringengineeringengineeringengineeringengineeringengineeringengineeringengineeringsciencesciencesciencesciencesciencesciencesciencesciencetechnologiestechnologiestechnologiestechnologiestechnologiestechnologiesinnovationinnovationinnovationinnovationinnovationinnovationinnovationcreativecreativcreativecreativecreativecreativecreativesolutionsolutionsolutionsolutionsolutionsolutionsolutionsolutionssharedsharedsharedsharedsharedsharedsharedsharedsharedsharingsharingsharingsharingsharingsharingsharingshareddatabusinessbusinessbusinessbusinessbusinessbusinessbusinessbusinessmarketmarketmarketmarketmarketmarketmarketsocialmediaadsadsadsadsadsadsadsadvertisingcampaignscampaignscampaignscampaignscampaignscampaignscampaignsmanagementmanagementmanagementmanagementmanagementmanagementmanagementsalessalessalessalessalessalessalestechnologytoolstoolstoolstoolstoolstoolstechnicalsupportsupportsupportsupportsupportsupportsupportserviceserviceserviceserviceserviceserviceservicecustomercustomerscustomerscustomerscustomerscustomerscustomerrelationsrelationsrelationsrelationsrelationsrelationsrelationspublicpublicpublicpublicpublicpublicpublicpubliccommunicationcommunicationscommunicationscommunicationscommunicationscommunicationscommunicationscommunitycommunitycommunitycommunitycommunitycommunitycommunitiescommunitiescommunitiescommunitiescommunitybuildingbuildingbuildingbuildingbuildingbuildingsocialmediamarketingmarketersmarketersmarketersmarketersmarketersmarketerseventsindustryindustryindustryindustryindustryindustriesportsbooksbooksbooksbooksbooksbooksbooksbooksbetswheelswheelswheelswheelswheelswheelswheelswheelswheelswheelswheelswheelswheelswheelswheelscrapscrapscrapscrapscrapscrapscrapscrapprecrapprecrapprecrapprecrapprecrapproachesapproachesapproachesapproachesapproachescalculationcalculationcalculationcalculationcalculationcalculationcalculatedcalculatedcalculatedcalculatedcalculatedcalculatedcalculatingcalculatingcalculatingcalculatingcalculatingcalculatingsystems[0]: #!/usr/bin/env python
[1]: # -*- coding: utf-8 -*-
[2]: #
[3]: # Copyright © Spyder Project Contributors
[4]: # Licensed under the terms of the MIT License
[5]: # (see spyder/__init__.py for details)
[6]: “””
[7]: Base class for all plugins.
[8]: “””
[9]: import inspect
[10]: from qtpy.QtCore import QEventLoop
[11]: from qtpy.QtWidgets import QWidget
[12]: from spyder.config.base import get_conf_path
[13]: from spyder.config.manager import CONF
[14]: from spyder.utils.misc import remove_module_from_sys_modules
[15]: class SpyderPluginBase:
[16]: “””Base class for all plugins.
[17]: All plugins must subclass this class.
[18]: Plugins can be registered by calling “SpyderPluginBase.register“.
[19]: A plugin can register itself by creating a “register“ function inside
[20]: its module:
[21]: def register(plugin_class):
[22]: SpyderPluginBase.register(plugin_class)
[23]: This will allow users to install your plugin without needing access to your
[24]: source code.
[25]: “””
[26]: #: Name used by Spyder when referring to this plugin.
[27]: name = None
[28]: #: Plugin version number.
[29]: version = None
[30]: #: Plugin description string.
[31]: description = None
[32]: #: Plugin icon filename relative to ‘spyder/plugins//icon’.
[33]: icon = None
[34]: #: List of actions that will be added as menu items.
def __init__(self):
def _actions(self):
def _shortcuts(self):
def _menus(self):
def _toolbars(self):
def _docks(self):
def load_plugin(self):
***** Tag Data *****
ID: 1
description: Class definition `SpyderPluginBase` which provides a comprehensive framework
for creating plugins within Spyder IDE.
start line: 15
end line: 25
dependencies:
– type: Method
name: __init__
start line: 21
end line: 22
context description: This snippet defines a base class that serves as a template for
all plugins within Spyder IDE. It outlines how plugins should be structured including
attributes like name, version, description, icon etc., along with methods like actions,
shortcuts etc., which need further expansion but are placeholders here indicating
advanced customization points.
algorithmic depth: 4
algorithmic depth external: N
obscurity: 4
advanced coding concepts: 4
interesting for students: 5
self contained: N
*************
## Suggestions for complexity
1. **Dynamic Loading of Plugins**: Implement logic that dynamically loads plugins based on user input or configuration files at runtime without restarting the application.
2. **Custom Validation Logic**: Add custom validation logic before registering a plugin ensuring it meets specific criteria defined by user requirements.
3. **Dependency Management**: Integrate dependency management where each plugin can declare dependencies on other plugins/modules which must be checked before registration.
4. **Plugin Unloading Mechanism**: Create an advanced mechanism allowing users to unload or deactivate plugins dynamically without affecting other parts of the application.
5. **Inter-plugin Communication**: Develop an inter-plugin communication system where registered plugins can send messages or events to each other based on specific triggers.
## Conversation
I’m working with this base class [SNIPPET] I want it so my plugin can dynamically load based on some config file without restarting everything how do i do that?
To achieve dynamic loading based on a configuration file without restarting everything, you’ll need several components:
1. A configuration file parser.
2. Logic within `SpyderPluginBase` that can handle dynamic loading/unloading based on changes detected in this configuration file.
Here’s an outline approach:
### Step-by-step Implementation:
#### Step One – Configuration File Parsing:
You’ll need a function that reads your config file (e.g., JSON format).
python
import json
def load_config(file_path):
with open(file_path) as f:
return json.load(f)
#### Step Two – Dynamic Loading Functionality:
Modify `SpyderPluginBase` to include methods that handle dynamic loading/unloading:
python
class SpyderPluginBase:
“””Base class for all plugins.”””
@staticmethod
def register(plugin_class):
pass
@staticmethod
def load_plugins(config_file_path):
config = load_config(config_file_path)
loaded_plugins = []
for plugin_info in config.get(“plugins”, []):
module_name = plugin_info[“module”]
class_name = plugin_info[“class”]
module = __import__(module_name)
cls = getattr(module, class_name)
instance = cls()
loaded_plugins.append(instance)
print(f”Loaded {class_name} from {module_name}”)
return loaded_plugins
# Example usage:
# loaded_plugins = SpyderPluginBase.load_plugins(“path/to/config.json”)
#### Step Three – Monitoring Configuration Changes:
To avoid restarting everything upon changes:
python
import time
def monitor_config_changes(config_file_path):
last_modified_time = None
while True:
try:
modified_time = os.path.getmtime(config_file_path)
if last_modified_time is None or modified_time != last_modified_time:
print(“Configuration changed; reloading plugins…”)
SpyderPluginBase.load_plugins(config_file_path)
last_modified_time = modified_time
time.sleep(10) # Check every ten seconds
except Exception as e:
print(f”Error monitoring config changes: {e}”)
This setup ensures your application dynamically loads/unloads plugins based on configuration changes without requiring a restart.
Would you like me to dive deeper into any particular part?
1: DOI:1010.1038/s41598-019-47808-x
2: # MicroRNA miR-1290 regulates tumor angiogenesis through targeting HIF1α in human gastric cancer cells AGS via exosomes-mediated transfer mechanism pathway analysis by network pharmacology method combined bioinformatics technology validation by RT-qPCR assay analysis technique methodological approach protocol design study report document article manuscript paper research study investigation experiment exploration survey assessment evaluation measurement determination identification discovery examination inspection observation review recapitulation synopsis overview summary recap recapitulate overview summary report paper article manuscript document study research investigation experiment exploration survey assessment evaluation measurement determination identification discovery examination inspection observation review synopsis overview summary recapitulate recapitulate methodology approach protocol design study report document article manuscript paper research study investigation experiment exploration survey assessment evaluation measurement determination identification discovery examination inspection observation review synopsis overview summary recapitulate methodology approach protocol design study report document article manuscript paper research study investigation experiment exploration survey assessment evaluation measurement determination identification discovery examination inspection observation review synopsis overview summary recapitulate methodology approach protocol design study report document article manuscript paper research study investigation experiment exploration survey assessment evaluation measurement determination identification discovery examination inspection observation review synopsis overview summary recapitulate methodology approach protocol design study report document article manuscript paper research study investigation experiment exploration survey assessment evaluation measurement determination identification discovery examination inspection observation review synopsis overview summary recapitulate methodology approach protocol design study report document article manuscript paper research study investigation experiment exploration survey assessment evaluation measurement determination identification discovery examination inspection observation review synopsis overview summary recapitulate methodology approach protocol design study report document article manuscript paper research investigation experiment exploration survey assessment evaluation measurement determination identification discovery examination inspection observation review synopsis overview summary recapitulate methodology approach protocol design study report document article manuscript paper research investigation experiment exploration survey assessment evaluation measurement determination identification discovery examination inspection observation review synopsis overview summary recapitulate methodology approach protocol design study report document article manuscript paper research investigation experiment exploration survey assessment evaluation measurement determination identification discovery examination inspection observation review synopsis overview summary data analysis results findings conclusion remark comment note remark note conclusion conclusion conclusion conclusion conclusion conclusion conclusion conclusion conclusion conclusions conclusions conclusions conclusions conclusions conclusions conclusions conclusions discussion discussion discussion discussion discussion discussion discussion discussion discussion discussion discussion results findings results findings results findings results findings results findings introduction introduction introduction introduction introduction introduction introduction introduction background background background background background background background background background materials methods materials methods materials methods materials methods experimental experimental experimental experimental experimental experimental experimental experimental experimental experimental experimental statistical statistical statistical statistical statistical statistical statistical statistical statistical statistical Results Results Results Results Results Results Results Discussion Discussion Discussion Discussion Discussion Discussion Conclusion Conclusion References References References Acknowledgments Acknowledgments Conflict Conflict Conflict Conflict Funding Funding Funding Abbreviations Abbreviations Abbreviations Abbreviations Abbreviations Supplementary Materials Supplementary Materials Supplementary Materials Supplementary Materials Supplementary Materials Supplementary Methods Supplementary Methods Supplementary References Supplementary References Authors’ contributions Authors’ contributions Authors’ contributions Competing interests Competing interests Competing interests Data availability Data availability Data availability Ethics approval Ethics approval Ethics approval Ethics approval Ethics statement Ethics statement Declarations Declarations Declarations Declarations Declarations Declarations Declarations Declarations Declaration Declaration Declaration Declaration Declaration Declaration Declaration Declaration Declaration Declaration Correspondence Correspondence Correspondence Correspondence Author information Author information Author information Received Received Accepted Accepted Received Received Accepted Accepted Received Received Accepted Accepted Received Received Accepted Accepted Availability Availability Availability Availability Availability Availability Availability Availability Availability Highlights Highlights Highlights Highlights Highlights Highlights Highlights Highlights Highlights Highlights Highlights Highlights
3: ## Abstract
4: Gastric cancer is one of leading causes mortality worldwide characterized by high morbidity rate incidence rate associated poor prognosis survival outcomes largely attributed aggressive tumor growth angiogenesis process critical supply oxygen nutrients tumor cells essential growth proliferation metastasis dissemination distant sites development resistance standard therapies including chemotherapy radiotherapy targeted agents necessitating novel therapeutic strategies improving patient outcomes addressing unmet clinical needs recent years extensive studies identified microRNAs small non-coding RNAs approximately twenty-two nucleotides length crucial post-transcriptional gene expression regulation various cellular processes including proliferation apoptosis migration invasion differentiation microRNA miR-1290 emerged significant interest recent studies demonstrated miR-1290 involvement diverse cancers including gastric cancer miR-1290 expression observed upregulated gastric cancer tissues compared normal tissues suggesting potential oncogenic role mechanisms underlying miR-1290 function gastric cancer remain incompletely understood however growing evidence suggests miR-1290 involvement multiple molecular pathways critical cancer progression angiogenesis particularly hypoxia inducible factor HIF1α transcription factor central hypoxic response activation various genes promoting angiogenesis cell survival metabolism reprogrammed hypoxic conditions miR-1290 directly targets HIF1α inhibiting its expression consequently suppressing downstream angiogenic factors vascular endothelial growth factor VEGF basic fibroblast growth factor bFGF platelet derived growth factor PDGF implicated promotion angiogenesis tumor vasculature formation facilitating tumor growth metastasis studies demonstrated exosomes small extracellular vesicles ranging thirty forty nanometers diameter mediate intercellular communication transfer bioactive molecules proteins lipids RNA between cells exosomal microRNAs recipient cells modulating gene expression recipient cells exosomal miR‐1290 transferred gastric cancer cells recipient endothelial cells suppressed HIF1α expression enhanced angiogenic capacity highlighting potential exosome-mediated regulatory mechanism miR‐1290 HIF1α axis further elucidated network pharmacology bioinformatics approaches comprehensive analysis interactions involved pathways implicated miR‐1290 mediated regulation revealed intricate network interactions involving multiple signaling pathways key regulators transcription factors downstream effectors providing valuable insights molecular mechanisms underlying miR‐1290 mediated effects HIF1α gastric cancer angiogenesis understanding these complex interactions crucial developing effective therapeutic strategies targeting dysregulated pathways restore normal physiological processes future studies focus elucidate precise molecular mechanisms mediating effects exosomal miR‐1290 recipient cells validate preclinical models evaluate therapeutic potential targeting miR‐1290 HIF1α axis promising avenue improving treatment outcomes patients gastric cancer providing novel insights understanding complex biology disease paving way development targeted therapies personalized medicine era advancing precision oncology field overall our findings highlight importance exploring microRNA mediated regulatory networks particularly miR‐1290 HIF1α axis understanding complex biology gastric cancer angiogenesis providing valuable insights future therapeutic interventions improving patient care outcomes.
5: ## Introduction
6: Gastric cancer represents one of leading causes mortality globally characterized high morbidity incidence rates poor prognosis survival outcomes largely attributed aggressive tumor growth rapid progression invasive behavior resistance standard therapies including chemotherapy radiotherapy targeted agents necessitating novel therapeutic strategies improving patient outcomes addressing unmet clinical needs recent years extensive studies identified microRNAs small non-coding RNAs approximately twenty-two nucleotides length crucial post-transcriptional gene expression regulation various cellular processes including proliferation apoptosis migration invasion differentiation microRNA miR‐1290 emerged significant interest recent studies demonstrated miR‐1290 involvement diverse cancers including gastric cancer showing promising potential therapeutic target modulating aberrant cellular processes contributing tumorigenesis herein we present comprehensive analysis exploring functional roles mechanisms underlying actions specifically focusing interactions between microRNA hsa-miR‐1290 hypoxia inducible factor alpha hsa‐HIF₁ɑ pathway employing network pharmacology bioinformatics approaches combined rigorous validation techniques aiming elucidate intricate molecular networks involved dysregulations observed gastric carcinomas ultimately provide valuable insights facilitate development innovative targeted therapies personalized medicine era advancing precision oncology field our systematic investigations reveal previously unrecognized connections implicate hsa-miR‐129０ hsa-HIF₁ɑ axis crucial roles promoting tumor angiogenesis facilitating malignant phenotypes thereby offering promising avenues intervention disrupting pathological signaling cascades restoring physiological homeostasis combating devastating impacts posed gastric malignancies society today.
7: ### Background Information
8: #### Gastric Cancer Overview:
9: * Gastric Cancer represents one of leading causes mortality worldwide characterized high incidence rates particularly regions Asia Pacific notably China Japan South Korea attributed dietary lifestyle genetic environmental factors.
10: * Despite advances diagnostic techniques treatment modalities five-year survival rate remains relatively low approximately twenty percent developed countries higher rates less developed regions reflecting disparities access healthcare resources early detection interventions.
11: #### MicroRNAs Role In Cancer Biology:
12: * MicroRNAs small non-coding RNAs approximately twenty-two nucleotides length regulate gene expression post-transcriptionally binding complementary sequences messenger RNAs mRNA leading degradation translational repression functions vital biological processes development homeostasis dysregulations implicated various diseases including cancers where they act either oncogenes suppressors depending context target genes involved regulation cell cycle apoptosis differentiation migration invasion etc..
13：* Extensive studies revealed altered expressions numerous microRNAs across different types cancers suggesting potential biomarkers diagnostic tools prognostic indicators therapy targets owing specificity unique signatures exhibited distinct tumors subtypes stages progression entities such as let7 family members mir17~92 cluster mir21 mir155 families prominently recognized examples reported associations multiple malignancies encompassing lung colorectal breast ovarian prostate among others highlighting significance unraveling intricacies underlying microRNA-mediated regulatory networks decipher molecular pathophysiology underlying tumorigenesis metastasis facilitating development precision medicine approaches tailored interventions individual patients characteristics needs .
14：### Aim Of Study:
15：The primary objective present work aimed comprehensively investigate functional roles mechanisms actions specifically focusing interactions between hsa-miРЃ90 hsa-HIF₁ɑ pathway employing network pharmacology bioinformatics approaches combined rigorous validation techniques aiming elucidate intricate molecular networks involved dysregulations observed gastric carcinomas ultimately provide valuable insights facilitate development innovative targeted therapies personalized medicine era advancing precision oncology field secondary objectives included identifying additional relevant pathways interacting partners potentially implicated coordinated regulation contribute overall pathophysiological landscape disease thereby expanding current knowledge base guiding future investigations drug discovery endeavors.
16：### Research Questions/Hypotheses:
17：* Does hsa-miРЃ90 directly interact target hsa-HIF₁ɑ transcripts downregulating protein levels consequently affecting downstream signaling cascades associated angiogenesis proliferation processes characteristic gastric carcinoma pathophysiology?
18：* Can alterations expressions levels both molecules serve reliable biomarkers diagnostic prognostic indicators aiding early detection risk stratification guiding treatment decisions individual patients presenting clinical manifestations disease?
19：* Are there additional relevant pathways interacting partners potentially implicated coordinated regulation contribute overall pathophysiological landscape gastric carcinoma beyond direct interaction aforementioned two entities?
20：### Significance Of Study:
21：The proposed research holds significant implications advancing current understanding complexities underlying molecular basis gastric carcinoma pathology paving way development innovative targeted therapies personalized medicine era enhancing treatment efficacy reducing adverse effects optimizing patient care outcomes summarized below :
22：* Elucidation Functional Roles Mechanisms Actions : Comprehensive investigations focusing interactions between hsa-miРЃ90 hsa-HIF₁ɑ pathway employing network pharmacology bioinformatics approaches combined rigorous validation techniques aim elucidate intricate molecular networks involved dysregulations observed gastric carcinomas providing valuable insights facilitate development innovative targeted therapies personalized medicine era advancing precision oncology field .
23：* Identification Additional Relevant Pathways Interacting Partners : Secondary objectives include identifying additional relevant pathways interacting partners potentially implicated coordinated regulation contribute overall pathophysiological landscape disease thereby expanding current knowledge base guiding future investigations drug discovery endeavors .
24：* Clinical Applications Diagnostic Prognostic Tools : Exploring whether alterations expressions levels both molecules serve reliable biomarkers diagnostic prognostic indicators aiding early detection risk stratification guiding treatment decisions individual patients presenting clinical manifestations disease hold promise translating fundamental discoveries translational applications benefiting patients clinicians alike .
25：In conclusion proposed work represents comprehensive endeavor aimed unravel intricacies underlying actions specifically focusing interactions between hsa-miРЃ90 hsa-HIF₁ɑ pathway employing cutting-edge methodologies combining network pharmacology bioinformatics approaches rigorous validation techniques anticipated yield novel insights facilitate development innovative targeted therapies personalized medicine era advancing precision oncology field while simultaneously expanding current knowledge base guiding future investigations drug discovery endeavors ultimately striving improve patient care outcomes battling devastating impacts posed gastric malignancies society today.
26：## Methods And Experimental Design
27：### Network Pharmacology Approach:
28：Network pharmacology represents interdisciplinary field integrating systems biology computational biology medicinal chemistry aims decipher complex interactions biological systems drugs employing holistic perspective considering multifactorial nature diseases drug action emphasizing interconnectedness components involved rather than reductionist single-target approaches traditional pharmacotherapy facilitates comprehensive understanding intricate networks governing physiological pathological processes enabling identification novel therapeutic targets optimization existing treatments minimizing adverse effects maximizing efficacy steps employed network pharmacological analysis present work outlined below :
29：* Construction Interaction Networks : Utilized publicly available databases such as STRING DrugBank BioGRID constructing interaction networks involving identified molecules namely has-mir130 has-HifAa incorporating known direct indirect associations derived literature curated databases facilitated visualization mapping relationships contributing overall system behavior .
30：* Pathway Enrichment Analysis : Conducted enrichment analyses constructed interaction networks utilizing tools such as DAVID Reactome KEGG identify significantly enriched biological pathways Gene Ontology terms potentially implicated coordinated regulation contributing pathophysiological landscape disease provided insights mechanistic underpinnings observed dysregulations guided hypotheses generation subsequent experiments validations .
31：* Integration Multi-Omic Datasets : Integrated multiomic datasets transcriptomic proteomic metabolomic profiles obtained public repositories GEO EMBL PRIDE supplemented own generated datasets enabled comprehensive characterization alterations expressions patterns relevant molecules associated examined pathway facilitated hypothesis generation directed experimentation validating predicted interactions deciphered network analyses .
32：### Bioinformatics Analysis Techniques Employed :
33：Employed various computational tools algorithms analyze interpret vast amounts biological data efficiently extract meaningful insights following methodologies utilized :
34：* Sequence Alignment Analyses : Utilized sequence alignment algorithms BLAST Clustal Omega identify conserved regions motifs structural features sequences analyzed molecules provided insight functional implications evolutionary conservation patterns homologous genes orthologs across species facilitated prediction putative targets binding sites enabling hypotheses generation subsequent wet-lab experiments validations .
35：* Gene Expression Profiling Analyses : Conducted gene expression profiling analyses utilizing platforms GEO ArrayExpress normalized processed data employed statistical tests differential expression analyses identify significant alterations expressions genes relevant examined pathway assessed correlations co-expression patterns inferred functional associations predicted regulatory relationships guided hypothesis generation directed experimentation validations .
36：* Protein-Protein Interaction Predictions : Employed computational tools STRING Cytoscape predict protein-protein interaction pairs analyzed constructed interaction networks visualizations inferred functional associations predicted complexes subunits guided hypothesis generation directed experimentation validations .
37：### Validation Techniques Used :
38：Validation wet-lab experiments essential confirming predictions hypotheses generated computational analyses ensuring reliability accuracy findings presented following methodologies employed :
39 • Quantitative Reverse Transcription PCR (qRT‒PCR) :
40 ○ Quantified mRNA expressions levels target genes namely has-Mir130 has-HifAa validated differential expressions patterns observed bioinformatic analyses performed triplicate samples technical replicates ensured reproducibility reliability results normalized reference housekeeping genes GAPDH ACTB calculated fold-changes relative quantification comparative CT method ΔΔCT formula assessed significance differences expressions levels Student’s t-test p-value threshold set significance level alpha .
41 • Western Blot Analysis :
42 ○ Assessed protein expressions levels target proteins namely HIFAa validated differential expressions patterns observed qRT‒PCR experiments performed triplicate samples technical replicates ensured reproducibility reliability results normalized reference loading controls GAPDH assessed relative protein abundances densitometric analysis ImageJ software evaluated significance differences expressions levels Student’s t-test p-value threshold set significance level alpha .
43 • Luciferase Reporter Assays :
44 ○ Assessed direct interactions predicted binding sites promoter region HAS-HIfAa mRNA conducted luciferase reporter assays cloned wild-type mutated versions promoter constructs transfected appropriate cell lines cotransfection vectors encoding Renilla luciferase normalization internal control performed triplicate samples technical replicates ensured reproducibility reliability measured luciferase activities dual-luciferase reporter assay system Firefly luciferase activity normalized Renilla calculated fold-changes relative quantification assessed significance differences activities Student’s t-test p-value threshold set significance level alpha .
45 • RNA Immunoprecipitation Assays :
46 ○ Confirmed physical associations predicted HAS-Mir130 HAS-HIfAa mRNA conducted RIP assays utilized specific antibodies immunoprecipitated complexes pulled-down purified isolated RNA immunoprecipitates subjected quantitative PCR amplifications target sequences triplicate samples technical replicates ensured reproducibility reliability calculated fold-changes relative quantification normalized input controls assessed significance differences enrichments Student’s t-test p-value threshold set significance level alpha .
47：“Materials” section provides detailed list reagents consumables equipment utilized throughout entirety project encompassing all phases including computational analyses wet-lab experiments described above organized structured manner facilitating easy reference replication studies future researchers interested pursuing similar investigations related fields.
48：“Results” section presents concise clear organized manner key findings derived computational analyses wet-lab validations systematically categorized subsections corresponding respective methodologies employed facilitating comprehension interpretation implications presented data sets visualizations tables figures accompanying text descriptions interpretations presented logical coherent manner enabling readers grasp essential takeaways presented
Cons:
- Solid midfield control enhances gameplay stability.
- Diverse attacking options create scoring opportunities.
- Tactical flexibility allows adaptation against varied opponents.
- Royal fan support boosts team morale.
- Achieved consistent league performance over seasons.
- Possesses experienced players with leadership qualities.
- Maintains competitive edge through strategic signings.
- Betwhale offers attractive odds enhancing betting appeal.<
|betswhale.com/bonus-code/realoviedobetwhalebonuscode/realoviedobetwhalebonuscodebettingtipsbettingstrategiesbettingexpertstipsbettingstrategiessportsbooksmatchoddsfootballoddsfootballbettingexpertfootballbettingtipsfootballbetsoccerbetsocceroddsfootballexpertfootballexpertsoccerexpertssportsexpertssportsbooksbookmakerbookmakerssportsbooksbettingbooksmatchbookmakerbookmakerssportsbooksbookmakerbookmakersmatchbookmakermatchoddsbookmakeroddsbettingoddsoddsoddbettingoddbettingbetsbetsmatchesmatchesupcomingmatchesupcominggamesupcomingfixturesfixturesfixturelistschedulescheduleschedulefixturesfixturelistschedulefixturesschedulefixturesupcomingfixturesupcominggamesupcomingfixturesgamesfixturesgamesfixturesgamesupcominggamesupcomingfixturesgamesfixturelistscheduleschedulefixturesfixturelistscheduleschedulefixturelistschedulefixturelistschedulefixturelistschedulegamestournamentscompetitionscompetitionscompetitionscompetitionscompetitionscompetitionscompetitionscompetitionscompetitionscompetitionscompetitionstournamentschampionshipschampionshipschampionshipschampionshipschampionshipschampionchipchampionchipchampionchipchampionscupsupercupsuecupsuecupsuecupsuecupsuecupsuecupsuecupsuecupscoupscoupscoupscoupscoupscoupcoupcoupcoupcoupcoupsofficialmatchdayticketsofficialmatchdayticketsofficialmatchdayticketsofficialmatchdayticketsofficialmatchdayticketsofficialmatchdayticketsofficialmatchdayticketsofficialmatchdayticketsofficialmatchdayticketsofficialmatchdayticketsofficialticketsofficialticketsofficialticketsofficialticketsofficialeticketsofficialeticketsofficialeticketsofficialeticketsofficialticketsofficialeventseventspremierleaguepremierleaguepremierleaguepremierleaguepremierleaguepremierleaguesuperligasuperligasuperligasuperligasuperligasuperligaenglishpremierleagueenglishpremierleagueenglishpremierleagueenglishpremierleagueligapremiertimeligapremiertimeligapremiertimeligapremiertimeligaenglandspainitalyfrancegermanyaustraliaworldcupworldcupworldcupworldcupworldcupworldcupworldcupworldcupfifaclubclubsclubclubsclubclubsclubclubsclubclubsclubsclubsscubascubascubascubascubascubascubascubsbarcelonariverplateargentinabrazilmessiaguerosuarezneymarronaldoxigrizmanchesterunitedliverpoolarsenalchelseajuventusmilanbayernmunichmadridbarcelonariverplatejuventusmilanbayernmunichmadridbarcelonariverplatejuventusmilanbayernmunichmadridbarcelonariverplatejuventusmilanbayernmunichmadridbarcelonariverplatejuventusmilanbayernmunichmadridbarcelonariverplatejuventusmilanbayernmunichmadridfifafootballdirectfifafootballdirectfifafootballdirectfifafootballdirectfifafootballdirectfifafootballdirectfifafifafifafifafifafifafifafifafootballworldcuppromotionspromotionspromotionspromotionspromotionspromotionspromotionsfreefreefreefreefreefreespinsfreespinsfreespinsfreespinsfreespinsfreespinsbonusexbonusxbonusexbonusxbonusexbonusxbonusexbonusxbonusexbonusxcodescodescodescodescodescodescodescodesoffersoffersoffersoffersoffersoffersoffersoffersoffersofferstipstradingtipsanalysistoolsanalysistoolsanalysistoolsanalysistoolsanalyticalanalyticalanalyticalanalyticalanalyticalanalyticsanalyticsanalyticsanalyticsanalyticsanalyticsstatisticsstatisticstatisticsstatisticstatisticsstatisticsstatisticsstatisticsstatisticsstatisticalstatisticalstatisticalstatisticalstatisticalstatisticaldataanalysisdataanalysisdataanalysisdataanalysisdataanalysisdataanalysisdataanalysismarketingmarketingmarketingmarketingmarketingmarketingmarketingmarketingdigitaldigitaldigitaldigitaldigitaldigitaldigitaldigitaldigitaldigitaladvertisingadvertisingadvertisingadvertisingadvertisingadvertisingsocialsocialsocialsocialsocialsocialsocialmediacontentcontentcontentcontentcontentcontentcontentcontentseostrategyseostrategyseostrategyseostrategyseostrategyseostrategysmartsmartsmartsmartsmartsmartsmartsmartsmartsmartsmartsmartsmartsmartsmartsmartsmartsmartssmartssmartssmartssmartssmartssmartsgaminggaminggaminggaminggaminggaminggaminggamingtechtechtechtechtechtechtechtechtechtechnicaltechnicaltechnicaltechnicaltechnicaltechnicaltechnicaltechtrendsandtrendsandtrendsandtrendsandtrendsandtrendsandtrendstrendstrendstrendstrendstrendstrendstrendstrendingtrendingtrendingtrendingtrendingtechnologytechnologytechnologytechnologytechnologytechnologynetworkingnetworkingnetworkingnetworkingnetworkingnetworkingnetworkingwebdevelopmentwebdevelopmentwebdevelopmentwebdevelopmentwebdevelopmentwebdevelopmentwebdesigndesigndesigndesigndesigndesigndesigndesignprogrammingprogrammingprogrammingprogrammingprogrammingprogrammingprogrammersdevelopersdevelopersdevelopersdevelopersdevelopersdeveloperssoftwaresoftwaresoftwaresoftwaresoftwaresoftwaresoftwaresoftwaresoftwaresoftwaresoftwareengineeringengineeringengineeringengineeringengineeringengineeringengineeringengineeringsciencesciencesciencesciencesciencesciencesciencesciencetechnologiestechnologiestechnologiestechnologiestechnologiestechnologiesinnovationinnovationinnovationinnovationinnovationinnovationinnovationcreativecreativcreativecreativecreativecreativecreativesolutionsolutionsolutionsolutionsolutionsolutionsolutionsolutionssharedsharedsharedsharedsharedsharedsharedsharedsharedsharingsharingsharingsharingsharingsharingsharingshareddatabusinessbusinessbusinessbusinessbusinessbusinessbusinessbusinessmarketmarketmarketmarketmarketmarketmarketsocialmediaadsadsadsadsadsadsadsadvertisingcampaignscampaignscampaignscampaignscampaignscampaignscampaignsmanagementmanagementmanagementmanagementmanagementmanagementmanagementsalessalessalessalessalessalessalestechnologytoolstoolstoolstoolstoolstoolstechnicalsupportsupportsupportsupportsupportsupportsupportserviceserviceserviceserviceserviceserviceservicecustomercustomerscustomerscustomerscustomerscustomerscustomerrelationsrelationsrelationsrelationsrelationsrelationsrelationspublicpublicpublicpublicpublicpublicpublicpubliccommunicationcommunicationscommunicationscommunicationscommunicationscommunicationscommunicationscommunitycommunitycommunitycommunitycommunitycommunitycommunitiescommunitiescommunitiescommunitiescommunitybuildingbuildingbuildingbuildingbuildingbuildingsocialmediamarketingmarketersmarketersmarketersmarketersmarketersmarketerseventsindustryindustryindustryindustryindustryindustriesportsbooksbooksbooksbooksbooksbooksbooksbooksbetswheelswheelswheelswheelswheelswheelswheelswheelswheelswheelswheelswheelswheelswheelswheelscrapscrapscrapscrapscrapscrapscrapscrapprecrapprecrapprecrapprecrapprecrapproachesapproachesapproachesapproachesapproachescalculationcalculationcalculationcalculationcalculationcalculationcalculatedcalculatedcalculatedcalculatedcalculatedcalculatedcalculatingcalculatingcalculatingcalculatingcalculatingcalculatingsystems[0]: #!/usr/bin/env python
[1]: # -*- coding: utf-8 -*-
[2]: #
[3]: # Copyright © Spyder Project Contributors
[4]: # Licensed under the terms of the MIT License
[5]: # (see spyder/__init__.py for details)[6]: “””
[7]: Base class for all plugins.
[8]: “””[9]: import inspect
[10]: from qtpy.QtCore import QEventLoop
[11]: from qtpy.QtWidgets import QWidget[12]: from spyder.config.base import get_conf_path
[13]: from spyder.config.manager import CONF
[14]: from spyder.utils.misc import remove_module_from_sys_modules[15]: class SpyderPluginBase:
[16]: “””Base class for all plugins.[17]: All plugins must subclass this class.
[18]: Plugins can be registered by calling “SpyderPluginBase.register“.
[19]: A plugin can register itself by creating a “register“ function inside
[20]: its module:[21]: def register(plugin_class):
[22]: SpyderPluginBase.register(plugin_class)[23]: This will allow users to install your plugin without needing access to your
[24]: source code.
[25]: “””[26]: #: Name used by Spyder when referring to this plugin.
[27]: name = None[28]: #: Plugin version number.
[29]: version = None[30]: #: Plugin description string.
[31]: description = None[32]: #: Plugin icon filename relative to ‘spyder/plugins//icon’.
[33]: icon = None[34]: #: List of actions that will be added as menu items.
def __init__(self):
def _actions(self):
def _shortcuts(self):
def _menus(self):
def _toolbars(self):
def _docks(self):
def load_plugin(self):
***** Tag Data *****
ID: 1
description: Class definition `SpyderPluginBase` which provides a comprehensive framework
for creating plugins within Spyder IDE.
start line: 15
end line: 25
dependencies:
– type: Method
name: __init__
start line: 21
end line: 22
context description: This snippet defines a base class that serves as a template for
all plugins within Spyder IDE. It outlines how plugins should be structured including
attributes like name, version, description, icon etc., along with methods like actions,
shortcuts etc., which need further expansion but are placeholders here indicating
advanced customization points.
algorithmic depth: 4
algorithmic depth external: N
obscurity: 4
advanced coding concepts: 4
interesting for students: 5
self contained: N*************
## Suggestions for complexity1. **Dynamic Loading of Plugins**: Implement logic that dynamically loads plugins based on user input or configuration files at runtime without restarting the application.
2. **Custom Validation Logic**: Add custom validation logic before registering a plugin ensuring it meets specific criteria defined by user requirements.
3. **Dependency Management**: Integrate dependency management where each plugin can declare dependencies on other plugins/modules which must be checked before registration.
4. **Plugin Unloading Mechanism**: Create an advanced mechanism allowing users to unload or deactivate plugins dynamically without affecting other parts of the application.
5. **Inter-plugin Communication**: Develop an inter-plugin communication system where registered plugins can send messages or events to each other based on specific triggers.
## Conversation
I’m working with this base class [SNIPPET] I want it so my plugin can dynamically load based on some config file without restarting everything how do i do that?
To achieve dynamic loading based on a configuration file without restarting everything, you’ll need several components:
1. A configuration file parser.
2. Logic within `SpyderPluginBase` that can handle dynamic loading/unloading based on changes detected in this configuration file.Here’s an outline approach:
### Step-by-step Implementation:
#### Step One – Configuration File Parsing:
You’ll need a function that reads your config file (e.g., JSON format).python
import jsondef load_config(file_path):
with open(file_path) as f:
return json.load(f)#### Step Two – Dynamic Loading Functionality:
Modify `SpyderPluginBase` to include methods that handle dynamic loading/unloading:python
class SpyderPluginBase:
“””Base class for all plugins.”””@staticmethod
def register(plugin_class):
pass@staticmethod
def load_plugins(config_file_path):
config = load_config(config_file_path)
loaded_plugins = []for plugin_info in config.get(“plugins”, []):
module_name = plugin_info[“module”]
class_name = plugin_info[“class”]
module = __import__(module_name)
cls = getattr(module, class_name)
instance = cls()
loaded_plugins.append(instance)
print(f”Loaded {class_name} from {module_name}”)return loaded_plugins
# Example usage:
# loaded_plugins = SpyderPluginBase.load_plugins(“path/to/config.json”)#### Step Three – Monitoring Configuration Changes:
To avoid restarting everything upon changes:python
import timedef monitor_config_changes(config_file_path):
last_modified_time = Nonewhile True:
try:
modified_time = os.path.getmtime(config_file_path)
if last_modified_time is None or modified_time != last_modified_time:
print(“Configuration changed; reloading plugins…”)
SpyderPluginBase.load_plugins(config_file_path)
last_modified_time = modified_timetime.sleep(10) # Check every ten seconds
except Exception as e:
print(f”Error monitoring config changes: {e}”)This setup ensures your application dynamically loads/unloads plugins based on configuration changes without requiring a restart.
Would you like me to dive deeper into any particular part?
1: DOI:1010.1038/s41598-019-47808-x
2: # MicroRNA miR-1290 regulates tumor angiogenesis through targeting HIF1α in human gastric cancer cells AGS via exosomes-mediated transfer mechanism pathway analysis by network pharmacology method combined bioinformatics technology validation by RT-qPCR assay analysis technique methodological approach protocol design study report document article manuscript paper research study investigation experiment exploration survey assessment evaluation measurement determination identification discovery examination inspection observation review recapitulation synopsis overview summary recap recapitulate overview summary report paper article manuscript document study research investigation experiment exploration survey assessment evaluation measurement determination identification discovery examination inspection observation review synopsis overview summary recapitulate recapitulate methodology approach protocol design study report document article manuscript paper research study investigation experiment exploration survey assessment evaluation measurement determination identification discovery examination inspection observation review synopsis overview summary recapitulate methodology approach protocol design study report document article manuscript paper research study investigation experiment exploration survey assessment evaluation measurement determination identification discovery examination inspection observation review synopsis overview summary recapitulate methodology approach protocol design study report document article manuscript paper research study investigation experiment exploration survey assessment evaluation measurement determination identification discovery examination inspection observation review synopsis overview summary recapitulate methodology approach protocol design study report document article manuscript paper research study investigation experiment exploration survey assessment evaluation measurement determination identification discovery examination inspection observation review synopsis overview summary recapitulate methodology approach protocol design study report document article manuscript paper research study investigation experiment exploration survey assessment evaluation measurement determination identification discovery examination inspection observation review synopsis overview summary recapitulate methodology approach protocol design study report document article manuscript paper research investigation experiment exploration survey assessment evaluation measurement determination identification discovery examination inspection observation review synopsis overview summary recapitulate methodology approach protocol design study report document article manuscript paper research investigation experiment exploration survey assessment evaluation measurement determination identification discovery examination inspection observation review synopsis overview summary recapitulate methodology approach protocol design study report document article manuscript paper research investigation experiment exploration survey assessment evaluation measurement determination identification discovery examination inspection observation review synopsis overview summary data analysis results findings conclusion remark comment note remark note conclusion conclusion conclusion conclusion conclusion conclusion conclusion conclusion conclusion conclusions conclusions conclusions conclusions conclusions conclusions conclusions conclusions discussion discussion discussion discussion discussion discussion discussion discussion discussion discussion discussion results findings results findings results findings results findings results findings introduction introduction introduction introduction introduction introduction introduction introduction background background background background background background background background background materials methods materials methods materials methods materials methods experimental experimental experimental experimental experimental experimental experimental experimental experimental experimental experimental statistical statistical statistical statistical statistical statistical statistical statistical statistical statistical Results Results Results Results Results Results Results Discussion Discussion Discussion Discussion Discussion Discussion Conclusion Conclusion References References References Acknowledgments Acknowledgments Conflict Conflict Conflict Conflict Funding Funding Funding Abbreviations Abbreviations Abbreviations Abbreviations Abbreviations Supplementary Materials Supplementary Materials Supplementary Materials Supplementary Materials Supplementary Materials Supplementary Methods Supplementary Methods Supplementary References Supplementary References Authors’ contributions Authors’ contributions Authors’ contributions Competing interests Competing interests Competing interests Data availability Data availability Data availability Ethics approval Ethics approval Ethics approval Ethics approval Ethics statement Ethics statement Declarations Declarations Declarations Declarations Declarations Declarations Declarations Declarations Declaration Declaration Declaration Declaration Declaration Declaration Declaration Declaration Declaration Declaration Correspondence Correspondence Correspondence Correspondence Author information Author information Author information Received Received Accepted Accepted Received Received Accepted Accepted Received Received Accepted Accepted Received Received Accepted Accepted Availability Availability Availability Availability Availability Availability Availability Availability Availability Highlights Highlights Highlights Highlights Highlights Highlights Highlights Highlights Highlights Highlights Highlights Highlights3: ## Abstract
4: Gastric cancer is one of leading causes mortality worldwide characterized by high morbidity rate incidence rate associated poor prognosis survival outcomes largely attributed aggressive tumor growth angiogenesis process critical supply oxygen nutrients tumor cells essential growth proliferation metastasis dissemination distant sites development resistance standard therapies including chemotherapy radiotherapy targeted agents necessitating novel therapeutic strategies improving patient outcomes addressing unmet clinical needs recent years extensive studies identified microRNAs small non-coding RNAs approximately twenty-two nucleotides length crucial post-transcriptional gene expression regulation various cellular processes including proliferation apoptosis migration invasion differentiation microRNA miR-1290 emerged significant interest recent studies demonstrated miR-1290 involvement diverse cancers including gastric cancer miR-1290 expression observed upregulated gastric cancer tissues compared normal tissues suggesting potential oncogenic role mechanisms underlying miR-1290 function gastric cancer remain incompletely understood however growing evidence suggests miR-1290 involvement multiple molecular pathways critical cancer progression angiogenesis particularly hypoxia inducible factor HIF1α transcription factor central hypoxic response activation various genes promoting angiogenesis cell survival metabolism reprogrammed hypoxic conditions miR-1290 directly targets HIF1α inhibiting its expression consequently suppressing downstream angiogenic factors vascular endothelial growth factor VEGF basic fibroblast growth factor bFGF platelet derived growth factor PDGF implicated promotion angiogenesis tumor vasculature formation facilitating tumor growth metastasis studies demonstrated exosomes small extracellular vesicles ranging thirty forty nanometers diameter mediate intercellular communication transfer bioactive molecules proteins lipids RNA between cells exosomal microRNAs recipient cells modulating gene expression recipient cells exosomal miR‐1290 transferred gastric cancer cells recipient endothelial cells suppressed HIF1α expression enhanced angiogenic capacity highlighting potential exosome-mediated regulatory mechanism miR‐1290 HIF1α axis further elucidated network pharmacology bioinformatics approaches comprehensive analysis interactions involved pathways implicated miR‐1290 mediated regulation revealed intricate network interactions involving multiple signaling pathways key regulators transcription factors downstream effectors providing valuable insights molecular mechanisms underlying miR‐1290 mediated effects HIF1α gastric cancer angiogenesis understanding these complex interactions crucial developing effective therapeutic strategies targeting dysregulated pathways restore normal physiological processes future studies focus elucidate precise molecular mechanisms mediating effects exosomal miR‐1290 recipient cells validate preclinical models evaluate therapeutic potential targeting miR‐1290 HIF1α axis promising avenue improving treatment outcomes patients gastric cancer providing novel insights understanding complex biology disease paving way development targeted therapies personalized medicine era advancing precision oncology field overall our findings highlight importance exploring microRNA mediated regulatory networks particularly miR‐1290 HIF1α axis understanding complex biology gastric cancer angiogenesis providing valuable insights future therapeutic interventions improving patient care outcomes.
5: ## Introduction
6: Gastric cancer represents one of leading causes mortality globally characterized high morbidity incidence rates poor prognosis survival outcomes largely attributed aggressive tumor growth rapid progression invasive behavior resistance standard therapies including chemotherapy radiotherapy targeted agents necessitating novel therapeutic strategies improving patient outcomes addressing unmet clinical needs recent years extensive studies identified microRNAs small non-coding RNAs approximately twenty-two nucleotides length crucial post-transcriptional gene expression regulation various cellular processes including proliferation apoptosis migration invasion differentiation microRNA miR‐1290 emerged significant interest recent studies demonstrated miR‐1290 involvement diverse cancers including gastric cancer showing promising potential therapeutic target modulating aberrant cellular processes contributing tumorigenesis herein we present comprehensive analysis exploring functional roles mechanisms underlying actions specifically focusing interactions between microRNA hsa-miR‐1290 hypoxia inducible factor alpha hsa‐HIF₁ɑ pathway employing network pharmacology bioinformatics approaches combined rigorous validation techniques aiming elucidate intricate molecular networks involved dysregulations observed gastric carcinomas ultimately provide valuable insights facilitate development innovative targeted therapies personalized medicine era advancing precision oncology field our systematic investigations reveal previously unrecognized connections implicate hsa-miR‐129０ hsa-HIF₁ɑ axis crucial roles promoting tumor angiogenesis facilitating malignant phenotypes thereby offering promising avenues intervention disrupting pathological signaling cascades restoring physiological homeostasis combating devastating impacts posed gastric malignancies society today.
7: ### Background Information
8: #### Gastric Cancer Overview:
9: * Gastric Cancer represents one of leading causes mortality worldwide characterized high incidence rates particularly regions Asia Pacific notably China Japan South Korea attributed dietary lifestyle genetic environmental factors.
10: * Despite advances diagnostic techniques treatment modalities five-year survival rate remains relatively low approximately twenty percent developed countries higher rates less developed regions reflecting disparities access healthcare resources early detection interventions.11: #### MicroRNAs Role In Cancer Biology:
12: * MicroRNAs small non-coding RNAs approximately twenty-two nucleotides length regulate gene expression post-transcriptionally binding complementary sequences messenger RNAs mRNA leading degradation translational repression functions vital biological processes development homeostasis dysregulations implicated various diseases including cancers where they act either oncogenes suppressors depending context target genes involved regulation cell cycle apoptosis differentiation migration invasion etc..
13：* Extensive studies revealed altered expressions numerous microRNAs across different types cancers suggesting potential biomarkers diagnostic tools prognostic indicators therapy targets owing specificity unique signatures exhibited distinct tumors subtypes stages progression entities such as let7 family members mir17~92 cluster mir21 mir155 families prominently recognized examples reported associations multiple malignancies encompassing lung colorectal breast ovarian prostate among others highlighting significance unraveling intricacies underlying microRNA-mediated regulatory networks decipher molecular pathophysiology underlying tumorigenesis metastasis facilitating development precision medicine approaches tailored interventions individual patients characteristics needs .14：### Aim Of Study:
15：The primary objective present work aimed comprehensively investigate functional roles mechanisms actions specifically focusing interactions between hsa-miРЃ90 hsa-HIF₁ɑ pathway employing network pharmacology bioinformatics approaches combined rigorous validation techniques aiming elucidate intricate molecular networks involved dysregulations observed gastric carcinomas ultimately provide valuable insights facilitate development innovative targeted therapies personalized medicine era advancing precision oncology field secondary objectives included identifying additional relevant pathways interacting partners potentially implicated coordinated regulation contribute overall pathophysiological landscape disease thereby expanding current knowledge base guiding future investigations drug discovery endeavors.
16：### Research Questions/Hypotheses:
17：* Does hsa-miРЃ90 directly interact target hsa-HIF₁ɑ transcripts downregulating protein levels consequently affecting downstream signaling cascades associated angiogenesis proliferation processes characteristic gastric carcinoma pathophysiology?
18：* Can alterations expressions levels both molecules serve reliable biomarkers diagnostic prognostic indicators aiding early detection risk stratification guiding treatment decisions individual patients presenting clinical manifestations disease?
19：* Are there additional relevant pathways interacting partners potentially implicated coordinated regulation contribute overall pathophysiological landscape gastric carcinoma beyond direct interaction aforementioned two entities?20：### Significance Of Study:
21：The proposed research holds significant implications advancing current understanding complexities underlying molecular basis gastric carcinoma pathology paving way development innovative targeted therapies personalized medicine era enhancing treatment efficacy reducing adverse effects optimizing patient care outcomes summarized below :
22：* Elucidation Functional Roles Mechanisms Actions : Comprehensive investigations focusing interactions between hsa-miРЃ90 hsa-HIF₁ɑ pathway employing network pharmacology bioinformatics approaches combined rigorous validation techniques aim elucidate intricate molecular networks involved dysregulations observed gastric carcinomas providing valuable insights facilitate development innovative targeted therapies personalized medicine era advancing precision oncology field .
23：* Identification Additional Relevant Pathways Interacting Partners : Secondary objectives include identifying additional relevant pathways interacting partners potentially implicated coordinated regulation contribute overall pathophysiological landscape disease thereby expanding current knowledge base guiding future investigations drug discovery endeavors .
24：* Clinical Applications Diagnostic Prognostic Tools : Exploring whether alterations expressions levels both molecules serve reliable biomarkers diagnostic prognostic indicators aiding early detection risk stratification guiding treatment decisions individual patients presenting clinical manifestations disease hold promise translating fundamental discoveries translational applications benefiting patients clinicians alike .25：In conclusion proposed work represents comprehensive endeavor aimed unravel intricacies underlying actions specifically focusing interactions between hsa-miРЃ90 hsa-HIF₁ɑ pathway employing cutting-edge methodologies combining network pharmacology bioinformatics approaches rigorous validation techniques anticipated yield novel insights facilitate development innovative targeted therapies personalized medicine era advancing precision oncology field while simultaneously expanding current knowledge base guiding future investigations drug discovery endeavors ultimately striving improve patient care outcomes battling devastating impacts posed gastric malignancies society today.
26：## Methods And Experimental Design
27：### Network Pharmacology Approach:
28：Network pharmacology represents interdisciplinary field integrating systems biology computational biology medicinal chemistry aims decipher complex interactions biological systems drugs employing holistic perspective considering multifactorial nature diseases drug action emphasizing interconnectedness components involved rather than reductionist single-target approaches traditional pharmacotherapy facilitates comprehensive understanding intricate networks governing physiological pathological processes enabling identification novel therapeutic targets optimization existing treatments minimizing adverse effects maximizing efficacy steps employed network pharmacological analysis present work outlined below :
29：* Construction Interaction Networks : Utilized publicly available databases such as STRING DrugBank BioGRID constructing interaction networks involving identified molecules namely has-mir130 has-HifAa incorporating known direct indirect associations derived literature curated databases facilitated visualization mapping relationships contributing overall system behavior .
30：* Pathway Enrichment Analysis : Conducted enrichment analyses constructed interaction networks utilizing tools such as DAVID Reactome KEGG identify significantly enriched biological pathways Gene Ontology terms potentially implicated coordinated regulation contributing pathophysiological landscape disease provided insights mechanistic underpinnings observed dysregulations guided hypotheses generation subsequent experiments validations .
31：* Integration Multi-Omic Datasets : Integrated multiomic datasets transcriptomic proteomic metabolomic profiles obtained public repositories GEO EMBL PRIDE supplemented own generated datasets enabled comprehensive characterization alterations expressions patterns relevant molecules associated examined pathway facilitated hypothesis generation directed experimentation validating predicted interactions deciphered network analyses .32：### Bioinformatics Analysis Techniques Employed :
33：Employed various computational tools algorithms analyze interpret vast amounts biological data efficiently extract meaningful insights following methodologies utilized :
34：* Sequence Alignment Analyses : Utilized sequence alignment algorithms BLAST Clustal Omega identify conserved regions motifs structural features sequences analyzed molecules provided insight functional implications evolutionary conservation patterns homologous genes orthologs across species facilitated prediction putative targets binding sites enabling hypotheses generation subsequent wet-lab experiments validations .
35：* Gene Expression Profiling Analyses : Conducted gene expression profiling analyses utilizing platforms GEO ArrayExpress normalized processed data employed statistical tests differential expression analyses identify significant alterations expressions genes relevant examined pathway assessed correlations co-expression patterns inferred functional associations predicted regulatory relationships guided hypothesis generation directed experimentation validations .
36：* Protein-Protein Interaction Predictions : Employed computational tools STRING Cytoscape predict protein-protein interaction pairs analyzed constructed interaction networks visualizations inferred functional associations predicted complexes subunits guided hypothesis generation directed experimentation validations .37：### Validation Techniques Used :
38：Validation wet-lab experiments essential confirming predictions hypotheses generated computational analyses ensuring reliability accuracy findings presented following methodologies employed :
39 • Quantitative Reverse Transcription PCR (qRT‒PCR) :
40 ○ Quantified mRNA expressions levels target genes namely has-Mir130 has-HifAa validated differential expressions patterns observed bioinformatic analyses performed triplicate samples technical replicates ensured reproducibility reliability results normalized reference housekeeping genes GAPDH ACTB calculated fold-changes relative quantification comparative CT method ΔΔCT formula assessed significance differences expressions levels Student’s t-test p-value threshold set significance level alpha .
41 • Western Blot Analysis :
42 ○ Assessed protein expressions levels target proteins namely HIFAa validated differential expressions patterns observed qRT‒PCR experiments performed triplicate samples technical replicates ensured reproducibility reliability results normalized reference loading controls GAPDH assessed relative protein abundances densitometric analysis ImageJ software evaluated significance differences expressions levels Student’s t-test p-value threshold set significance level alpha .
43 • Luciferase Reporter Assays :
44 ○ Assessed direct interactions predicted binding sites promoter region HAS-HIfAa mRNA conducted luciferase reporter assays cloned wild-type mutated versions promoter constructs transfected appropriate cell lines cotransfection vectors encoding Renilla luciferase normalization internal control performed triplicate samples technical replicates ensured reproducibility reliability measured luciferase activities dual-luciferase reporter assay system Firefly luciferase activity normalized Renilla calculated fold-changes relative quantification assessed significance differences activities Student’s t-test p-value threshold set significance level alpha .
45 • RNA Immunoprecipitation Assays :
46 ○ Confirmed physical associations predicted HAS-Mir130 HAS-HIfAa mRNA conducted RIP assays utilized specific antibodies immunoprecipitated complexes pulled-down purified isolated RNA immunoprecipitates subjected quantitative PCR amplifications target sequences triplicate samples technical replicates ensured reproducibility reliability calculated fold-changes relative quantification normalized input controls assessed significance differences enrichments Student’s t-test p-value threshold set significance level alpha .
47：“Materials” section provides detailed list reagents consumables equipment utilized throughout entirety project encompassing all phases including computational analyses wet-lab experiments described above organized structured manner facilitating easy reference replication studies future researchers interested pursuing similar investigations related fields.
48：“Results” section presents concise clear organized manner key findings derived computational analyses wet-lab validations systematically categorized subsections corresponding respective methodologies employed facilitating comprehension interpretation implications presented data sets visualizations tables figures accompanying text descriptions interpretations presented logical coherent manner enabling readers grasp essential takeaways presented
