Evidence map›Paper›PMID 31737206›Full record

ArticleAmerican journal of translational research2019

Identification of differential gene expression in endothelial cells from young and aged mice using RNA-Seq technique.

Liang Zhang, Manli Liu, Qing Li, Bing Shen, Chaojie Hu, Rui Fu, Mengdie Liu, Jie Deng, Qi Cao, Yiping Wang and 1 more

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2019. 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
0.4field-weighted citation impact, top 37% 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, 7 citations in OpenAlex.

  1. Article
  2. Translational control in cell ageing: an update.Biochemical Society transactions · 2021
    Review
  3. Article
  4. Review
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

11 authors at 2 institutions in 1 country.

Liang ZhangThe Central Laboratory of Medical Research Center, Anhui Provincial Hospital, Anhui Medical University Hefei 230001, Anhui, PR China.
Manli LiuThe Central Laboratory of Medical Research Center, Anhui Provincial Hospital, Anhui Medical University Hefei 230001, Anhui, PR China.
Qing LiThe Central Laboratory of Medical Research Center, Anhui Provincial Hospital, Anhui Medical University Hefei 230001, Anhui, PR China.
Bing ShenSchool of Basic Medical Sciences, Anhui Medical University Hefei 230032, Anhui, PR China.
Chaojie HuThe Central Laboratory of Medical Research Center, Anhui Provincial Hospital, Anhui Medical University Hefei 230001, Anhui, PR China.
Rui FuThe Central Laboratory of Medical Research Center, Anhui Provincial Hospital, Anhui Medical University Hefei 230001, Anhui, PR China.
Mengdie LiuThe Central Laboratory of Medical Research Center, Anhui Provincial Hospital, Anhui Medical University Hefei 230001, Anhui, PR China.
Jie DengThe Central Laboratory of Medical Research Center, Anhui Provincial Hospital, Anhui Medical University Hefei 230001, Anhui, PR China.
Qi CaoThe Centre for Transplantation and Renal Research, Westmead Institute for Medical Research, University of Sydney Sydney, NSW, Australia.
Yiping WangThe Centre for Transplantation and Renal Research, Westmead Institute for Medical Research, University of Sydney Sydney, NSW, Australia.
Yuanmin WangCentre for Kidney Research, Children's Hospital at Westmead Sydney, NSW, Australia.
University of Sydney · AUWestmead Institute for Medical Research · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aging is a complex phenomenon. Endothelial cell senescence is regarded as a vital characteristic of cardiovascular diseases. This study aims to identify differentially expressed genes in vascular endothelial cells (ECs) of different age groups by RNA sequencing (RNA-Seq) technique, and to explore which molecular pathways differentially expressed genes (DEGs) may enrich in. In this study, we used RNA-Seq to analyze DEGs in primary endothelial cells of young and old mice, and further analyzed them by gene ontology (GO) enrichment and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. Our results showed that in total identified 229 of the DEGs, 104 were upregulated and 125 were downregulated in endothelial cells of aged mice compared with young mice. Gene ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis showed that the involvement of these DEGs in the regulation of morphogenesis of a branching structure, angiogenesis, upregulation of cell proliferation, and extracellular matrix (ECM)-receptor interaction. These results provided a novel insight to understand the molecular mechanisms underlying aortic endothelial cell senescence, and some of the novel candidate genes identified in this study may be valuable in elucidating the molecular mechanisms underlying endothelial cell senescence.

Indexed as

Endothelial cellsgene expressionRNA-seqsenescence

Identifiers

PMID31737206
PMCPMC6834518
OpenAlexW2991176245

What OpenQuestion holds

Textmetadata
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.