Evidence map›Paper›PMID 38730227›Full record

ArticleNature communications2024

A time-resolved multi-omics atlas of transcriptional regulation in response to high-altitude hypoxia across whole-body tissues.

Ze Yan, Ji Yang, Wen-Tian Wei, Ming-Liang Zhou, Dong-Xin Mo, Xing Wan, Rui Ma, Mei-Ming Wu, Jia-Hui Huang, Ya-Jing Liu and 2 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed.

  1. Article
  2. MN•CS•IO System: Cross-Species Study for HBB Function in High-Altitude Hypoxia Adaptation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Advancing high-altitude medicine: a model for the future.Signal transduction and targeted therapy · 2026
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Genome-wide selective sweep analysis in high-altitude Changthangi goats reveals candidate genes for pashmina fiber production.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Ze Yan *State Key Laboratory of Animal Biotech Breeding, China Agricultural University, Beijing, 100193, China.
Ji Yang *State Key Laboratory of Animal Biotech Breeding, China Agricultural University, Beijing, 100193, China.
Wen-Tian WeiState Key Laboratory of Animal Biotech Breeding, China Agricultural University, Beijing, 100193, China.
Ming-Liang ZhouSichuan Academy of Grassland Science, Chengdu, 611743, China.
Dong-Xin MoState Key Laboratory of Animal Biotech Breeding, China Agricultural University, Beijing, 100193, China.
Xing WanState Key Laboratory of Animal Biotech Breeding, China Agricultural University, Beijing, 100193, China.
Rui MaState Key Laboratory of Animal Biotech Breeding, China Agricultural University, Beijing, 100193, China.
Mei-Ming WuState Key Laboratory of Animal Biotech Breeding, China Agricultural University, Beijing, 100193, China.
Jia-Hui HuangState Key Laboratory of Animal Biotech Breeding, China Agricultural University, Beijing, 100193, China.
Ya-Jing LiuState Key Laboratory of Animal Biotech Breeding, China Agricultural University, Beijing, 100193, China.
Feng-Hua LvState Key Laboratory of Animal Biotech Breeding, China Agricultural University, Beijing, 100193, China.ORCID http://orcid.org/0000-0002-6013-2262
Meng-Hua LiState Key Laboratory of Animal Biotech Breeding, China Agricultural University, Beijing, 100193, China. menghua.li@cau.edu.cn.ORCID http://orcid.org/0000-0001-5194-2506

Funding

National Natural Science Foundation of China (National Science Foundation of China) Nos. 32272845, 32061133010, 31972527 and U21A20246
6 · The paper itself

Abstract

High-altitude hypoxia acclimatization requires whole-body physiological regulation in highland immigrants, but the underlying genetic mechanism has not been clarified. Here we use sheep as an animal model for low-to-high altitude translocation. We generate multi-omics data including whole-genome sequences, time-resolved bulk RNA-Seq, ATAC-Seq and single-cell RNA-Seq from multiple tissues as well as phenotypic data from 20 bio-indicators. We characterize transcriptional changes of all genes in each tissue, and examine multi-tissue temporal dynamics and transcriptional interactions among genes. Particularly, we identify critical functional genes regulating the short response to hypoxia in each tissue (e.g., PARG in the cerebellum and HMOX1 in the colon). We further identify TAD-constrained cis-regulatory elements, which suppress the transcriptional activity of most genes under hypoxia. Phenotypic and transcriptional evidence indicate that antenatal hypoxia could improve hypoxia tolerance in offspring. Furthermore, we provide time-series expression data of candidate genes associated with human mountain sickness (e.g., BMPR2) and high-altitude adaptation (e.g., HIF1A). Our study provides valuable resources and insights for future hypoxia-related studies in mammals.

Indexed as

AltitudeAltitude SicknessGene Expression RegulationHypoxiaAcclimatizationAnimalsFemaleHumansMultiomicsSheepSingle-Cell AnalysisTranscription, Genetic

Identifiers

PMID38730227
PMCPMC11087590

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.