Evidence map›Paper›PMID 33017217›Full record

ArticleCirculation2020

Single-Cell Transcriptome Analysis Reveals Dynamic Cell Populations and Differential Gene Expression Patterns in Control and Aneurysmal Human Aortic Tissue.

Yanming Li, Pingping Ren, Ashley Dawson, Hernan G Vasquez, Waleed Ageedi, Chen Zhang, Wei Luo, Rui Chen, Yumei Li, Sangbae Kim and 6 more

Open access · bronzeAbstract read
In one paragraph

Article in Circulation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 217 papers.

0numbers the graph read from it
0cells of the map it votes in
217citing papers in PubMed
14.0field-weighted citation impact, top 1% 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

217 citing papers in PubMed, 327 citations in OpenAlex.

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157 more citing papers are in PubMed but not listed here.

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

16 authors at 2 institutions in 1 country.

Yanming LiDivision of Cardiothoracic Surgery, Michael E. DeBakey Department of Surgery (Yanming Li, P.R., A. Dawson, H.G.V., W.A., C.Z., W.L., J.S.C., Y.H.S., S.A.L.), Baylor College of Medicine, Houston, TX.
Pingping RenDivision of Cardiothoracic Surgery, Michael E. DeBakey Department of Surgery (Yanming Li, P.R., A. Dawson, H.G.V., W.A., C.Z., W.L., J.S.C., Y.H.S., S.A.L.), Baylor College of Medicine, Houston, TX.
Ashley DawsonDivision of Cardiothoracic Surgery, Michael E. DeBakey Department of Surgery (Yanming Li, P.R., A. Dawson, H.G.V., W.A., C.Z., W.L., J.S.C., Y.H.S., S.A.L.), Baylor College of Medicine, Houston, TX.
Hernan G VasquezDivision of Cardiothoracic Surgery, Michael E. DeBakey Department of Surgery (Yanming Li, P.R., A. Dawson, H.G.V., W.A., C.Z., W.L., J.S.C., Y.H.S., S.A.L.), Baylor College of Medicine, Houston, TX.
Waleed AgeediDivision of Cardiothoracic Surgery, Michael E. DeBakey Department of Surgery (Yanming Li, P.R., A. Dawson, H.G.V., W.A., C.Z., W.L., J.S.C., Y.H.S., S.A.L.), Baylor College of Medicine, Houston, TX.
Chen ZhangDivision of Cardiothoracic Surgery, Michael E. DeBakey Department of Surgery (Yanming Li, P.R., A. Dawson, H.G.V., W.A., C.Z., W.L., J.S.C., Y.H.S., S.A.L.), Baylor College of Medicine, Houston, TX.
Wei LuoDivision of Cardiothoracic Surgery, Michael E. DeBakey Department of Surgery (Yanming Li, P.R., A. Dawson, H.G.V., W.A., C.Z., W.L., J.S.C., Y.H.S., S.A.L.), Baylor College of Medicine, Houston, TX.
Rui ChenHuman Genome Sequencing Center (R.C., Yumei Li, S.K.), Baylor College of Medicine, Houston, TX.
Yumei LiHuman Genome Sequencing Center (R.C., Yumei Li, S.K.), Baylor College of Medicine, Houston, TX.
Sangbae KimHuman Genome Sequencing Center (R.C., Yumei Li, S.K.), Baylor College of Medicine, Houston, TX.
Hong S LuSaha Cardiovascular Research Center (H.S.L., A. Daugherty), University of Kentucky, Lexington.
Lisa A CassisDepartment of Pharmacology and Nutritional Sciences (L.A.C.), University of Kentucky, Lexington.
Joseph S CoselliDivision of Cardiothoracic Surgery, Michael E. DeBakey Department of Surgery (Yanming Li, P.R., A. Dawson, H.G.V., W.A., C.Z., W.L., J.S.C., Y.H.S., S.A.L.), Baylor College of Medicine, Houston, TX.
Alan DaughertySaha Cardiovascular Research Center (H.S.L., A. Daugherty), University of Kentucky, Lexington.
Ying H Shen *Division of Cardiothoracic Surgery, Michael E. DeBakey Department of Surgery (Yanming Li, P.R., A. Dawson, H.G.V., W.A., C.Z., W.L., J.S.C., Y.H.S., S.A.L.), Baylor College of Medicine, Houston, TX.
Scott A LeMaire *Division of Cardiothoracic Surgery, Michael E. DeBakey Department of Surgery (Yanming Li, P.R., A. Dawson, H.G.V., W.A., C.Z., W.L., J.S.C., Y.H.S., S.A.L.), Baylor College of Medicine, Houston, TX.
Baylor College of Medicine · USUniversity of Kentucky · US

Funding

VISION RESEARCH CENTERP30EY002520 · NEI · BAYLOR COLLEGE OF MEDICINE · PI Samuel M Wu · 1985 to 2026
$14.8M
Research Training Program in Cardiovascular SurgeryT32HL139430 · NHLBI · BAYLOR COLLEGE OF MEDICINE · PI Todd K Rosengart · 2018 to 2026
$2.9M
Targeting ER Stress To Treat Aortic Aneurysms and DissectionsR01HL131980 · NHLBI · BAYLOR COLLEGE OF MEDICINE · PI LEMAIRE, SCOTT A, SHEN, YING H · 2016 to 2019
$1.7M
Mitochondrial Damage-Induced Necroptotic Cell Death in SporadicAscending Thoracic Aortic Aneurysms and DissectionsR01HL143359 · NHLBI · BAYLOR COLLEGE OF MEDICINE · PI LEMAIRE, SCOTT A, SHEN, YING H · 2018 to 2021
$1.6M
High Throughput Genomic Sequencer at BCM Core FacilityS10OD023469 · OD · BAYLOR COLLEGE OF MEDICINE · PI CHEN, RUI · 2017 to 2017
$600k
Acquisition of the Fluidigm system to accelerate functional genomics researchS10OD018033 · OD · BAYLOR COLLEGE OF MEDICINE · PI CHEN, RUI · 2014 to 2014
$396k
Acquisition of 10X Genomics Chromium Instrument to Accelerate Genomic and Single Cell Transcriptomic ResearchS10OD025240 · OD · BAYLOR COLLEGE OF MEDICINE · PI DODDAPANENI, HARSHA VARDHAN · 2018 to 2018
$125k
NEI NIH HHS P30 EY002520NHLBI NIH HHS R01 HL131980NHLBI NIH HHS R01 HL143359NHLBI NIH HHS T32 HL139430NIH HHS S10 OD018033NIH HHS S10 OD023469NIH HHS S10 OD025240
6 · The paper itself

Abstract

backgroundAscending thoracic aortic aneurysm (ATAA) is caused by the progressive weakening and dilatation of the aortic wall and can lead to aortic dissection, rupture, and other life-threatening complications. To improve our understanding of ATAA pathogenesis, we aimed to comprehensively characterize the cellular composition of the ascending aortic wall and to identify molecular alterations in each cell population of human ATAA tissues.

methodsWe performed single-cell RNA sequencing analysis of ascending aortic tissues from 11 study participants, including 8 patients with ATAA (4 women and 4 men) and 3 control subjects (2 women and 1 man). Cells extracted from aortic tissue were analyzed and categorized with single-cell RNA sequencing data to perform cluster identification. ATAA-related changes were then examined by comparing the proportions of each cell type and the gene expression profiles between ATAA and control tissues. We also examined which genes may be critical for ATAA by performing the integrative analysis of our single-cell RNA sequencing data with publicly available data from genome-wide association studies.

resultsWe identified 11 major cell types in human ascending aortic tissue; the high-resolution reclustering of these cells further divided them into 40 subtypes. Multiple subtypes were observed for smooth muscle cells, macrophages, and T lymphocytes, suggesting that these cells have multiple functional populations in the aortic wall. In general, ATAA tissues had fewer nonimmune cells and more immune cells, especially T lymphocytes, than control tissues did. Differential gene expression data suggested the presence of extensive mitochondrial dysfunction in ATAA tissues. In addition, integrative analysis of our single-cell RNA sequencing data with public genome-wide association study data and promoter capture Hi-C data suggested that the erythroblast transformation-specific related gene(

conclusionsOur study provides a comprehensive evaluation of the cellular composition of the ascending aortic wall and reveals how the gene expression landscape is altered in human ATAA tissue. The information from this study makes important contributions to our understanding of ATAA formation and progression.

Indexed as

Gene Expression ProfilingGene Expression RegulationSingle-Cell AnalysisAgedAortaAortic Aneurysm, ThoracicFemaleGenome-Wide Association StudyHumansMaleMiddle Agedaortic aneurysm, thoracicmitochondriasequence analysis, RNAtranscriptional regulator ERG

Identifiers

PMID33017217
PMCPMC7539140
OpenAlexW3090295751

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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.