Evidence map›Paper›PMID 31586122›Full record

ArticleScientific data2019

Small non-coding RNA transcriptome of four high-altitude vertebrates and their low-altitude relatives.

Keren Long, Siyuan Feng, Jideng Ma, Jinwei Zhang, Long Jin, Qianzi Tang, Xun Wang, Miaomiao Mai, Weihang Xiao, Lingyan Liu and 2 more

Abstract readDataset
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific data, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Exposomes to Exosomes: Exosomes as Tools to Study Epigenetic Adaptive Mechanisms in High-Altitude Humans.International journal of environmental research and public health · 2021
    Review
  11. Frontiers in genetics · 2021
    Article
  12. Article
  13. 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.

Keren LongInstitute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China.
Siyuan FengInstitute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China.
Jideng MaInstitute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China.
Jinwei ZhangInstitute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China.
Long JinInstitute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China.
Qianzi TangInstitute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China.
Xun WangInstitute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China.
Miaomiao MaiInstitute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China.
Weihang XiaoInstitute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China.
Lingyan LiuInstitute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China.
Xuewei LiInstitute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China.
Mingzhou LiInstitute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China. mingzhou.li@sicau.edu.cn.ORCID http://orcid.org/0000-0001-8681-7684

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Animals that lived at high altitudes have evolved distinctive physiological traits that allow them to tolerate extreme high-altitude environment, including higher hemoglobin concentration, increased oxygen saturation of blood and a high energy metabolism. Although previous investigations performed plenty of comparison between high- and low-altitude mammals at the level of morphology, physiology and genomics, mechanism underlying high-altitude adaptation remains largely unknown. Few studies provided comparative analyses in high-altitude adaptation, such as parallel analysis in multiple species. In this study, we generated high-quality small RNA sequencing data for six tissues (heart, liver, spleen, lung, kidney and muscle) from low- and high-altitude populations of four typical livestock animals, and identified comparable numbers of miRNAs in each species. This dataset will provide valuable information for understanding the molecular mechanism of high-altitude adaptation in vertebrates.

Indexed as

TranscriptomeAdaptation, PhysiologicalAltitudeAnimalsCattleChickensLivestockMicroRNAsSheep, DomesticSwineMicroRNAs

Identifiers

PMID31586122
PMCPMC6778140

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.