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

Updated July 20, 2023

Ascending 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 understanding of ATAA pathogenesis, the authors sought to comprehensively characterize the cellular composition of the ascending aortic wall and to identify molecular alterations in each cell population of human ATAA tissues using single-cell RNA sequencing technology.

Ying H ShenBaylor College of Medicinehyshen@bcm.edu
Scott A LeMaireBaylor College of Medicineslemaire@bcm.edu
Yanming Li1
Pingping Ren1
Ashley Dawson1
Hernan G Vasquez1
Waleed Ageedi1
Chen Zhang1
Wei Luo1
Rui Chen1
Yumei Li1
Sangbae Kim1
Hong S Lu2
Lisa A Cassis2
Joseph S Coselli1
Alan Daugherty2
Ying H Shen1
Scott A LeMaire1
1Baylor College of Medicine
2University of Kentucky
Ami Day

To reference this project, please use the following link:

https://explore.data.humancellatlas.org/projects/07073c12-8006-4710-a00b-23abdb814904
None
INSDC Project Accessions:GEO Series Accessions:INSDC Study Accessions:

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Analysis Portals

None

Project Label

AneurysmalHumanAorticTissue

Species

Homo sapiens

Sample Type

specimens

Anatomical Entity

blood vessel

Organ Part

ascending aorta

Selected Cell Types

Unspecified

Disease Status (Specimen)

2 disease statuses

Disease Status (Donor)

5 disease statuses

Development Stage

human adult stage

Library Construction Method

2 library construction methods

Nucleic Acid Source

single cell

Paired End

false

File Format

6 file formats

Cell Count Estimate

48.1k

Donor Count

11
bam11 file(s)csv1 file(s)fastq.gz22 file(s)loom13 file(s)tar1 file(s)xlsx1 file(s)