Evidence map›Paper›PMID 36452079›Full record

ArticlePeerJ2022

Combined transcriptome and proteome analysis of yak PASMCs under hypoxic and normoxic conditions.

Lan Zhang, Yiyang Zhang, Juan Zhou, Yifan Yao, Rui Li, Manlin Zhou, Shuwu Chen, Zilin Qiao, Kun Yang

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 44% of its field
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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Study of Transcriptomic Analysis of Yak (Animals : an open access journal from MDPI · 2023
    Article
  4. 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

9 authors at 1 institution in 1 country.

Lan ZhangLife Science and Engineering College, Northwest Minzu University, Lan, China.
Yiyang ZhangLife Science and Engineering College, Northwest Minzu University, Lan, China.
Juan ZhouLife Science and Engineering College, Northwest Minzu University, Lan, China.
Yifan YaoLife Science and Engineering College, Northwest Minzu University, Lan, China.
Rui LiLife Science and Engineering College, Northwest Minzu University, Lan, China.
Manlin ZhouLife Science and Engineering College, Northwest Minzu University, Lan, China.
Shuwu ChenLife Science and Engineering College, Northwest Minzu University, Lan, China.
Zilin QiaoLife Science and Engineering College, Northwest Minzu University, Lan, China.
Kun YangLife Science and Engineering College, Northwest Minzu University, Lan, China.
Minzu University of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Yaks are animals that have lived in plateau environments for generations. Yaks can adapt to the hypoxic plateau environment and also pass this adaptability on to the next generation. The lungs are the most important respiratory organs for mammals to adapt to their environment. Pulmonary artery smooth muscle cells play an important role in vascular remodeling under hypoxia, but the genetic mechanism underpinning the yak's ability to adapt to challenging plateau conditions is still unknown. Methods: A tandem mass tag (TMT) proteomics study together with an RNA-seq transcriptome analysis were carried out on pulmonary artery smooth muscle cells (PASMCs) that had been grown for 72 hours in both normoxic (20% O2) and hypoxic (1% O2) environments. RNA and TP (total protein) were collected from the hypoxic and normoxic groups for RNA-seq transcriptome sequencing and TMT marker protein quantification, and RT-qPCR validation was performed. Results: A total of 17,711 genes and 6,859 proteins were identified. Further, 5,969 differentially expressed genes (DEGs) and 531 differentially expressed proteins (DEPs) were identified in the comparison group, including 2,924 and 186 upregulated genes and proteins and 3,045 and 345 down-regulated genes and proteins, respectively. The transcriptomic and proteomic analyses revealed that 109 DEGs and DEPs were highly positively correlated, with 77 genes showing the same expression trend. Nine overlapping genes were identified in the HIF-1 signaling pathway, glycolysis / gluconeogenesis, central carbon metabolism in cancer, PPAR signaling pathway, AMPK signaling pathway, and cholesterol metabolism (PGAM1, PGK1, TPI1, HMOX1, IGF1R, OLR1, SCD, FABP4 and LDLR), suggesting that these differentially expressed genes and protein functional classifications are related to the hypoxia-adaptive pathways. Overall, our study offers abundant data for further analysis of the molecular mechanisms in yak PASMCs and their adaptability to different oxygen concentrations.

Indexed as

ProteomeTranscriptomeAnimalsCattleHypoxiaMammalsMyocytes, Smooth MuscleProteomicsPulmonary ArteryProteomeHypoxiaNormoxiaPASMCsProteomicsTranscriptomeYak

Identifiers

PMID36452079
PMCPMC9703989
OpenAlexW4310083332

What OpenQuestion holds

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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.