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Series GSE161322 Query DataSets for GSE161322
Status Public on Nov 13, 2020
Title RNA-sequencing comparison of pneumonectomy and bleomycin reveals novel anti-fibrotic mechanisms and regulators
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary Fibroblast activation is transient in successful wound repair, but persistent in fibrotic pathologies. Understanding fibroblast deactivation during successful wound healing may provide new approaches to therapeutically reverse fibrogenic cell activation. To characterize the gene programs that accompany fibroblast activation and reversal during lung fibrosis resolution, we used RNA-seq analysis of flow-sorted Col1α1-GFP positive and CD45, CD31, and CD326 negative cells isolated from the lungs of young mice exposed to bleomycin and pneumonectomy. We compared fibroblasts isolated from controls to those isolated at days 14 and 30 after bleomycin exposure, as well as at 14 days after pneumonectomy, representing the peak of extracellular matrix deposition, early stage of fibrosis resolution, and non-fibrotic lung repair respectively.
 
Overall design RNA-seq of Co11a1-GFP fibroblasts in D14 bleomycin, D30 Bleomycin, D14 pneumonectomy, and control groups.
 
Contributor(s) Tan Q, Meridew JA, Ligresti G, Tschumperlin DJ, Wellmerling J
Citation(s) 33493091
NIH grant(s)
Grant ID Grant title Affiliation Name
R01 HL153026 Targeting CEBPA To Restore Epithelial-Mesenchymal Homeostasis In Lung Fibrosis MAYO CLINIC Qi Tan
Submission date Nov 12, 2020
Last update date Dec 06, 2022
Contact name Qi Tan
E-mail(s) [email protected]
Phone (507)437-9638
Organization name Univesity of Minnesota
Department The Hormel Institute
Street address 801 16th Ave NE
City Austin
State/province MN
ZIP/Postal code 55912
Country USA
 
Platforms (1)
GPL21493 Illumina HiSeq 3000 (Mus musculus)
Samples (13)
GSM4904841 Sham 1
GSM4904842 Sham 2
GSM4904843 D14 Bleo 1
Relations
BioProject PRJNA677893
SRA SRP292291

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Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE161322_merged_gene_count_rpkm_by_read_Eric_2022.csv.gz 2.0 Mb (ftp)(http) CSV
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

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