scholarly journals Network Biology led identification of critical miRNA modules for High Altitude hypoxia and their potential as dietary supplements

2021 ◽  
Author(s):  
Apoorv Gupta ◽  
Sugadev R ◽  
Y K Sharma ◽  
Pankaj Khurana
Keyword(s):  
Network Analysis ◽  
High Altitude ◽  
Regulatory Networks ◽  
Sequence Similarity ◽  
Functional Module ◽  
Mammalian Species ◽  
Differentially Expressed ◽  
Mammalian Host ◽  
High Altitudes ◽  
Tf Gene

Abstract Early ascent to high altitude can cause severe damage to body functions and may lead to many fatal high-altitude disorders. To cope up with such conditions, the human body undergoes physiological and biochemical changes in order to adapt to extreme environmental conditions at high altitudes. Several microRNAs (miRNAs), Transcription Factors (TFs), and genes have been studied separately for their role in early adaptive molecular responses. We hypothesize that network analysis of miRNA-TF-gene co-regulatory networks of circulatory miRNAs (CmiRNAs) which are differentially expressed at high altitudes could reveal a complex regulatory functional module that might be controlling molecular adaptive responses at high altitude. A comprehensive and non-redundant list of differentially expressed human CmiRNAs during high altitude ascent was collated and 470 Feed-Forward Loops (FFLs) tripartite motifs were identified in the miRNA-TF-gene co-regulatory networks. Network analysis and K-means clustering identified 11 biologically overrepresented FFLs regulated by 8 miRNAs hsa-miR-335-5p, hsa-miR-26a-1-3p, hsa-miR-210-3p, hsa-miR-193b-3p, hsa-miR-17-5p, hsa-miR-16-5p, hsa-miR-5582-5p and hsa-miR-130a-3p. Pathway enrichment identified metabolism and inflammation as important hallmark responses responsible for high altitude adaptation. These miRNAs were evaluated for their supplementation from dietary sources. Phylogenetic analysis with 4 other mammalian and non-mammalian species showed that Bos taurus (cattle) milk could be a possible source of these dietary miRNAs. Exogenous miRNAs bta-mir-16-1, bta-mir-130a, bta-miR-335, and bta-miR-210 have >95% of sequence similarity and could become potential dietary miRNAs candidates. The sequence, structural properties, and high AGO2 binding efficiency of all these exogenous miRNAs show good serum stability and cellular uptake possibility in the mammalian host. Bta-miR-210 with highest Minimal Folding free Energy Index (MFEI) and highest Atomic Contact Energy (ACE) with AGO2 has the best potential to be a dietary supplement.

scholarly journals Identification of miRNA Regulatory Networks and Candidate Markers for Fracture Healing in Mice

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Xianglu Li ◽  
Zhaohua Zhong ◽  
Enguang Ma ◽  
Xiaowei Wu
Keyword(s):  
Network Analysis ◽  
Fracture Healing ◽  
Collagen Fibril ◽  
Regulatory Networks ◽  
Expression Profiles ◽  
Healing Process ◽  
Differentially Expressed ◽  
Differential Analysis ◽  
Ppi Network ◽  
Hub Genes

Background. It is important to improve the understanding of the fracture healing process at the molecular levels, then to discover potential miRNA regulatory mechanisms and candidate markers. Methods. Expression profiles of mRNA and miRNA were obtained from the Gene Expression Omnibus database. We performed differential analysis, enrichment analysis, protein-protein interaction (PPI) network analysis. The miRNA-mRNA network analysis was also performed. Results. We identified 499 differentially expressed mRNAs (DEmRs) that were upregulated and 534 downregulated DEmRs during fracture healing. They were mainly enriched in collagen fibril organization and immune response. Using the PPI network, we screened 10 hub genes that were upregulated and 10 hub genes downregulated with the largest connectivity. We further constructed the miRNA regulatory network for hub genes and identified 13 differentially expressed miRNAs (DEmiRs) regulators. Cd19 and Col6a1 were identified as key candidate mRNAs with the largest fold change, and their DEmiR regulators were key candidate regulators. Conclusion. Cd19 and Col6a1 might serve as candidate markers for fracture healing in subsequent studies. Their expression is regulated by miRNAs and is involved in collagen fibril organization and immune responses.

Uncovering of Key Pathways and miRNAs for Intracranial Aneurysm Based on Weighted Gene Co-Expression Network Analysis

2022 ◽  
pp. 1-12
Author(s):  
Zhengfei Ma ◽  
Ping Zhong ◽  
Peidong Yue ◽  
Zhongwu Sun
Keyword(s):  
Network Analysis ◽  
Intracranial Aneurysm ◽  
Differentially Expressed Genes ◽  
Regulatory Networks ◽  
Molecular Mechanisms ◽  
Area Under The Curve ◽  
Enrichment Analysis ◽  
Functional Enrichment ◽  
Differentially Expressed

<b><i>Background:</i></b> Intracranial aneurysm (IA) is a serious cerebrovascular disease. The identification of key regulatory genes can provide research directions for early diagnosis and treatment of IA. <b><i>Methods:</i></b> Initially, the miRNA and mRNA data were downloaded from the Gene Expression Omnibus database. Subsequently, the limma package in R was used to screen for differentially expressed genes. In order to investigate the function of the differentially expressed genes, a functional enrichment analysis was performed. Moreover, weighted gene co-expression network analysis (WGCNA) was performed to identify the hub module and hub miRNAs. The correlations between miRNAs and mRNAs were assessed by constructing miRNA-mRNA regulatory networks. In addition, in vitro validation was performed. Finally, diagnostic analysis and electronic expression verification were performed on the GSE122897 dataset. <b><i>Results:</i></b> In the present study, 955 differentially expressed mRNAs (DEmRNAs, 480 with increased and 475 with decreased expression) and 46 differentially expressed miRNAs (DEmiRNAs, 36 with increased and 10 with decreased expression) were identified. WGCNA demonstrated that the yellow module was the hub module. Moreover, 16 hub miRNAs were identified. A total of 1,124 negatively regulated miRNA-mRNA relationship pairs were identified. Functional analysis demonstrated that DEmRNAs in the targeted network were enriched in vascular smooth muscle contraction and focal adhesion pathways. In addition, the area under the curve of 16 hub miRNAs was &#x3e;0.8. It is implied that 16 hub miRNAs may be used as potential diagnostic biomarkers of IA. <b><i>Conclusion:</i></b> Hub miRNAs and key signaling pathways were identified by bioinformatics analysis. This evidence lays the foundation for understanding the underlying molecular mechanisms of IA and provided potential therapeutic targets for the treatment of this disease.

KLF4, a Key Regulator of a Transitive Triplet, Acts on the TGF-β Signaling Pathway and Contributes to High-Altitude Adaptation of Tibetan Pigs

2020 ◽  
Author(s):  
Tao Wang ◽  
Yuanyuan Guo ◽  
Shengwei Liu ◽  
Chaoxin Zhang ◽  
Tongyan Cui ◽  
...  
Keyword(s):  
Network Analysis ◽  
High Altitude ◽  
Signaling Pathway ◽  
Mammalian Species ◽  
The Tibetan Plateau ◽  
Tibetan Pigs ◽  
Regulatory Architecture ◽  
Hypoxia Adaptation ◽  
Suitable Animal Model ◽  
Transcriptional Changes

Abstract Background: Tibetan pigs are native mammalian species on the Tibetan Plateau that have evolved distinct physiological traits that allow them to tolerate high-altitude hypoxic environments. They can be used as a suitable animal model for exploring the molecular mechanism of hypoxia adaptation in high-altitude organisms.Results: Here, based on multi-tissue transcriptional data from high-altitude Tibetan pigs and low-altitude Rongchang pigs, we performed a weighted correlation network analysis (WGCNA) and identified key modules related to these tissues. Complex network analysis and bioinformatics analysis were integrated to identify key genes and size-3 network motifs. The results showed that compared to other tissues, the lungs of Tibetan pigs and Rongchang pigs are more significantly different, showing more adaptive transcriptional changes. In the lung tissues of Tibetan pigs, we identified KLF4, BCL6B, EGR1, EPAS1, SMAD6, SMAD7, KDR, ATOH8 and CCN1 genes as potential regulators of hypoxia adaption. We found that KLF4 and EGR1 genes simultaneously regulate the BCL6B gene, forming a KLF4-EGR1-BCL6B transitive triplet. This transitive triplet, dominated by KLF4, may enhance the hypoxia adaptability of Tibetan pigs by mediating the TGF-β signaling pathway. This triplet also regulates the KDR gene, which is involved in the PI3K-Akt signaling pathway and plays an important role in hypoxia adaptation. Conclusions: We postulate that the KLF4-EGR1-BCL6B transitive triplet may contribute to the adaptation of Tibetan pigs to hypoxic environments. These findings provide new details of the regulatory architecture of hypoxia-adaptive genes and are valuable for understanding the genetic mechanism of hypoxic adaptation in mammals.

scholarly journals Comprehensive analysis of coding and non-coding RNA transcriptomes related to hypoxic adaptation in Tibetan chickens

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Ying Zhang ◽  
Woyu Su ◽  
Bo Zhang ◽  
Yao Ling ◽  
Woo Kyun Kim ◽  
...  
Keyword(s):  
Energy Metabolism ◽  
High Altitude ◽  
Regulatory Networks ◽  
Molecular Mechanisms ◽  
Enrichment Analysis ◽  
Differentially Expressed ◽  
Tibet Plateau ◽  
Hypoxic Adaptation ◽  
Native Breed ◽  
Non Coding Rnas

Abstract Background Tibetan chickens, a unique native breed in the Qinghai-Tibet Plateau of China, possess a suite of adaptive features that enable them to tolerate the high-altitude hypoxic environment. Increasing evidence suggests that long non-coding RNAs (lncRNAs) and microRNAs (miRNAs) play roles in the hypoxic adaptation of high-altitude animals, although their exact involvement remains unclear. Results This study aimed to elucidate the global landscape of mRNAs, lncRNAs, and miRNAs using transcriptome sequencing to construct a regulatory network of competing endogenous RNAs (ceRNAs) and thus provide insights into the hypoxic adaptation of Tibetan chicken embryos. In total, 354 differentially expressed genes (DE genes), 389 differentially expressed lncRNAs (DE lncRNAs), and 73 differentially expressed miRNAs (DE miRNAs) were identified between Tibetan chickens (TC) and control Chahua chickens (CH). GO and KEGG enrichment analysis revealed that several important DE miRNAs and their target DE lncRNAs and DE genes are involved in angiogenesis (including blood vessel development and blood circulation) and energy metabolism (including glucose, carbohydrate, and lipid metabolism). The ceRNA network was then constructed with the predicted DE gene-DE miRNA-DE lncRNA interactions, which further revealed the regulatory roles of these differentially expressed RNAs during hypoxic adaptation of Tibetan chickens. Conclusions Analysis of transcriptomic data revealed several key candidate ceRNAs that may play high-priority roles in the hypoxic adaptation of Tibetan chickens by regulating angiogenesis and energy metabolism. These results provide insights into the molecular mechanisms of hypoxic adaptation regulatory networks from the perspective of coding and non-coding RNAs.

scholarly journals KLF4, a Key Regulator of a Transitive Triplet, Acts on the TGF-β Signaling Pathway and Contributes to High-Altitude Adaptation of Tibetan Pigs

2021 ◽  
Vol 12 ◽  
Author(s):  
Tao Wang ◽  
Yuanyuan Guo ◽  
Shengwei Liu ◽  
Chaoxin Zhang ◽  
Tongyan Cui ◽  
...  
Keyword(s):  
Network Analysis ◽  
High Altitude ◽  
Signaling Pathway ◽  
Lung Tissue ◽  
Large Scale ◽  
Mammalian Species ◽  
Hypoxia Tolerance ◽  
Genetic Mechanism ◽  
The Tibetan Plateau ◽  
Tibetan Pigs

Tibetan pigs are native mammalian species on the Tibetan Plateau that have evolved distinct physiological traits that allow them to tolerate high-altitude hypoxic environments. However, the genetic mechanism underlying this adaptation remains elusive. Here, based on multitissue transcriptional data from high-altitude Tibetan pigs and low-altitude Rongchang pigs, we performed a weighted correlation network analysis (WGCNA) and identified key modules related to these tissues. Complex network analysis and bioinformatics analysis were integrated to identify key genes and three-node network motifs. We found that among the six tissues (muscle, liver, heart, spleen, kidneys, and lungs), lung tissue may be the key organs for Tibetan pigs to adapt to hypoxic environment. In the lung tissue of Tibetan pigs, we identified KLF4, BCL6B, EGR1, EPAS1, SMAD6, SMAD7, KDR, ATOH8, and CCN1 genes as potential regulators of hypoxia adaption. We found that KLF4 and EGR1 genes might simultaneously regulate the BCL6B gene, forming a KLF4–EGR1–BCL6B complex. This complex, dominated by KLF4, may enhance the hypoxia tolerance of Tibetan pigs by mediating the TGF-β signaling pathway. The complex may also affect the PI3K-Akt signaling pathway, which plays an important role in angiogenesis caused by hypoxia. Therefore, we postulate that the KLF4–EGR1–BCL6B complex may be beneficial for Tibetan pigs to survive better in the hypoxia environments. Although further molecular experiments and independent large-scale studies are needed to verify our findings, these findings may provide new details of the regulatory architecture of hypoxia-adaptive genes and are valuable for understanding the genetic mechanism of hypoxic adaptation in mammals.

scholarly journals Genome-wide identification and functional prediction of long non-coding RNAs in Sprague-Dawley rats during heat stress

BMC Genomics ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Jinhuan Dou ◽  
Flavio Schenkel ◽  
Lirong Hu ◽  
Adnan Khan ◽  
Muhammad Zahoor Khan ◽  
...  
Keyword(s):  
Heat Stress ◽  
Rna Sequencing ◽  
Adrenal Glands ◽  
Insulin Signalling ◽  
Sequence Similarity ◽  
Mammalian Species ◽  
Differentially Expressed ◽  
Sprague Dawley ◽  
Expression Levels ◽  
Non Coding Rnas

Abstract Background Heat stress (HS) is a major stress event in the life of an animal, with detrimental upshots in production and health. Long-non-coding RNAs (lncRNAs) play an important role in many biological processes by transcriptional regulation. However, no research has been reported on the characterization and functionality of lncRNAs in heat-stressed rats. Results We studied expression levels of lncRNAs in rats during HS, using strand-specific RNA sequencing. Six rats, three in each of Control (22 ± 1 °C) and H120 (42 °C for 120 min) experimental groups, were used to screen for lncRNAs in their liver and adrenal glands. Totally, 4498 and 7627 putative lncRNAs were identified in liver and adrenal glands of the Control and H120 groups, respectively. The majority of lncRNAs were relatively shorter and contained fewer exons than protein-coding transcripts. In total, 482 (174 up-regulated and 308 down-regulated) and 271 (126 up-regulated and 145 down-regulated) differentially-expressed lncRNAs (DElncRNAs, P < 0.05) were identified in the liver and adrenal glands of the Control and H120 groups, respectively. Furthermore, 1274, 121, and 73 target differentially-expressed genes (DEGs) in the liver were predicted to interact with DElncRNAs based on trans−/cis- and sequence similarity regulatory modes. Functional annotation analyses indicated that these DEGs were mostly significantly enriched in insulin signalling, myeloid leukaemia, and glucagon signalling pathways. Similarly, 437, 73 and 41 target DEGs in the adrenal glands were mostly significantly enriched in the cell cycle (trans-prediction) and lysosome pathways (cis-prediction). The DElncRNAs interacting with DEGs that encode heat shock proteins (HSPs) may play an important role in HS response, which include Hsf4, Dnaja1, Dnajb4, Hsph1 and Hspb1 in the liver, and Dnajb13 and Hspb8 in the adrenal glands. The strand-specific RNA sequencing findings were also further verified through RT-qPCR. Conclusions This study is the first to provide a detailed characterization and functional analysis of expression levels of lncRNAs in liver and adrenal glands of heat-stressed rats, which provides basis for further studies on the biological functions of lncRNAs under heat stress in rats and other mammalian species.

scholarly journals HAHmiR.DB: A Server Platform For High Altitude Human miRNA-Gene Coregulatory Networks And Associated Regulatory-Circuits

2020 ◽  
Author(s):  
Apoorv Gupta ◽  
Ragumani Sugadev ◽  
Yogendra Kumar Sharma ◽  
Bhuvnesh Kumar ◽  
Pankaj Khurana
Keyword(s):  
Gene Expression ◽  
High Altitude ◽  
Regulatory Networks ◽  
Gene Expression Regulation ◽  
Mirna Gene ◽  
Adaptive Responses ◽  
Specific Expression ◽  
Regulatory Circuits ◽  
Rapid Ascent ◽  
Tf Gene

AbstractRapid ascent to High Altitude (HA) can cause severe damage to body organs and may lead to many fatal disorders. During induction to HA, human body undergoes various physiological, biochemical, hematological and molecular changes to adapt to the extreme environmental conditions. Many literature references hint that gene-expression-regulation and regulatory molecules like microRNAs (miRNAs) and Transcription Factors (TFs) control adaptive responses during HA-stress. These biomolecules are known to interact in a complex combinatorial manner to fine-tune the gene expression and help in controlling the molecular responses during this stress and ultimately help in acclimatization. HAHmiR.DB (High-Altitude Human miRNA Database) is a unique, comprehensive, curated collection of miRNAs that have been experimentally validated to be associated with HA-stress; their level of expression in different altitudes, fold change, experiment duration, biomarker association, disease and drug association, tissue-specific expression level, Gene Ontology (GO) and Kyoto Encyclopaedia of Gene and Genomes (KEGG) pathway associations. As a server platform it also uniquely constructs and analyses interactive miRNA-TF-Gene coregulatory networks and extracts regulatory-circuits/Feed Forward Loops (FFLs) using in-house scripts. These regulatory circuits help to offer mechanistic insights in complex regulatory mechanisms during HA stress. The server can also build these regulatory networks between two and more miRNAs of the database and also identify the regulatory-circuits from this network. Hence HAHmiR.DB is the first-of its-kind database in HA research which a reliable platform to explore, compare, analyse and retrieve miRNAs associated with HA stress, their coregulatory networks and FFL regulatory circuits. HAHmiR.DB is freely accessible at http://www.hahmirdb.in

scholarly journals HAHmiR.DB: a server platform for high-altitude human miRNA–gene coregulatory networks and associated regulatory circuits

Database ◽  
2020 ◽  
Vol 2020 ◽  
Author(s):  
Pankaj Khurana ◽  
Apoorv Gupta ◽  
Ragumani Sugadev ◽  
Yogendra Kumar Sharma ◽  
Bhuvnesh Kumar
Keyword(s):  
Gene Expression ◽  
High Altitude ◽  
Regulatory Networks ◽  
Gene Expression Regulation ◽  
Mirna Gene ◽  
The Body ◽  
Adaptive Responses ◽  
Specific Expression ◽  
Regulatory Circuits ◽  
Tf Gene

Abstract Around 140 million people live in high-altitude (HA) conditions! and even a larger number visit such places for tourism, adventure-seeking or sports training. Rapid ascent to HA can cause severe damage to the body organs and may lead to many fatal disorders. During induction to HA, human body undergoes various physiological, biochemical, hematological and molecular changes to adapt to the extreme environmental conditions. Several literature references hint that gene-expression-regulation and regulatory molecules like miRNAs and transcription factors (TFs) control adaptive responses during HA stress. These biomolecules are known to interact in a complex combinatorial manner to fine-tune the gene expression and help in controlling the molecular responses during this stress and ultimately help in acclimatization. High-Altitude Human miRNA Database (HAHmiR.DB) is a unique, comprehensive and curated collection of miRNAs that have been experimentally validated to be associated with HA stress, their level of expression in different altitudes, fold change, experiment duration, biomarker association, disease and drug association, tissue-specific expression level, Gene Ontology (GO) and Kyoto Encyclopaedia of Gene and Genomes (KEGG) pathway associations. As a server platform, it also uniquely constructs and analyses interactive miRNA–TF–gene coregulatory networks and extracts regulatory circuits/feed-forward loops (FFLs). These regulatory circuits help to offer mechanistic insights into complex regulatory mechanisms during HA stress. The server can also build these regulatory networks between two and more miRNAs of the database and also identify the regulatory circuits from this network. Hence, HAHmiR.DB is the first-of-its-kind database in HA research, which is a reliable platform to explore, compare, analyse and retrieve miRNAs associated with HA stress, their coregulatory networks and FFL regulatory-circuits. HAHmiR.DB is freely accessible at http://www.hahmirdb.in

scholarly journals Comparative transcriptome profiling and co-expression network analysis uncover the key genes associated withearly-stage resistance to Aspergillus flavus in maize

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Huanhuan Liu ◽  
Haofeng Wu ◽  
Yan Wang ◽  
Huan Wang ◽  
Saihua Chen ◽  
...  
Keyword(s):  
Network Analysis ◽  
Aspergillus Flavus ◽  
Regulatory Networks ◽  
Early Stage ◽  
Differentially Expressed ◽  
Economic Losses ◽  
Post Inoculation ◽  
Resistant Line ◽  
Maize Resistance ◽  
Key Genes

Abstract Background The fungus Aspergillus flavus (A. flavus) is a serious threat to maize (Zea mays) production worldwide. It causes considerable yield and economic losses, and poses a health risk to humans and livestock due to the high toxicity of aflatoxin. However, key genes and regulatory networks conferring maize resistance to A. flavus are not clear, especially at the early stage of infection. Here, we performed a comprehensive transcriptome analysis of two maize inbred lines with contrasting resistance to A. flavus infection. Results The pairwise comparisons between mock and infected kernels in each line during the first 6 h post inoculation (hpi) showed that maize resistance to A. flavus infection was specific to the genotype and infection stage, and defense pathways were strengthened in the resistant line. Further comparison of the two maize lines revealed that the infection-induced up-regulated differentially expressed genes (DEGs) in the resistant line might underlie the enhanced resistance. Gene co-expression network analysis by WGCNA (weighted gene co-expression network analysis) identified 7 modules that were significantly associated with different infection stages, and 110 hub genes of these modules. These key regulators mainly participate in the biosynthesis of fatty acid and antibiotics. In addition, 90 candidate genes for maize resistance to A. flavus infection and/or aflatoxin contamination obtained in previous studies were confirmed to be differentially expressed between the resistant and susceptible lines within the first 6 hpi. Conclusion This work unveiled more A. flavus resistance genes and provided a detailed regulatory network of early-stage resistance to A. flavus in maize.

scholarly journals Comprehensive analysis of coding and non-coding RNA transcriptomes related to hypoxic adaptation in Tibetan chickens

2021 ◽  
Author(s):  
Ying Zhang ◽  
Woyu Su ◽  
Bo Zhang ◽  
Yao Ling ◽  
Woo Kyun Kim ◽  
...  
Keyword(s):  
Energy Metabolism ◽  
High Altitude ◽  
Regulatory Networks ◽  
Molecular Mechanisms ◽  
Enrichment Analysis ◽  
Differentially Expressed ◽  
Tibet Plateau ◽  
Hypoxic Adaptation ◽  
Native Breed ◽  
Non Coding Rnas

Abstract Background: Tibetan chickens, a unique native breed in the Qinghai-Tibet Plateau of China, possess a suite of adaptive features that enable them to tolerate the high-altitude hypoxic environment. Increasing evidence suggests that long non-coding RNAs (lncRNAs) and microRNAs (miRNAs) play roles in the hypoxic adaptation of high-altitude animals, although their exact involvement remains unclear.Results: This study aimed to elucidate the global landscape of mRNAs, lncRNAs, and miRNAs using transcriptome sequencing to construct a regulatory network of competing endogenous RNAs (ceRNAs) and thus provide insights into the hypoxic adaptation of Tibetan chicken embryos. In total, 354 differentially expressed genes (DE genes), 389 differentially expressed lncRNAs (DE lncRNAs), and 73 differentially expressed miRNAs (DE miRNAs) were identified between Tibetan chickens (TC) and control Chahua chickens (CH). GO and KEGG enrichment analysis revealed that several important DE miRNAs and their target DE lncRNAs and DE genes are involved in angiogenesis (including blood vessel development and blood circulation) and energy metabolism (including glucose, carbohydrate, and lipid metabolism). The ceRNA network was then constructed with the predicted DE gene-DE miRNA-DE lncRNA interactions, which further revealed the regulatory roles of these differentially expressed RNAs during hypoxic adaptation of Tibetan chickens.Conclusions: Analysis of transcriptomic data revealed several key candidate ceRNAs that may play high-priority roles in the hypoxic adaptation of Tibetan chickens by regulating angiogenesis and energy metabolism. These results provide insights into the molecular mechanisms of hypoxic adaptation regulatory networks from the perspective of coding and non-coding RNAs.

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