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Series GSE197583 Query DataSets for GSE197583
Status Public on Feb 02, 2023
Title Wound memory of epidermal stem cells [bulk RNA-seq]
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary Trained wound-memory in epidermal cells elicits a more efficient response to future injuries, but the full spectrum of their adaptive responses and the contribution of cell lineage subsets is unknown. We performed  mini bulk RNA-Seq of Lrig1 and Lgr5 stem cell progenies in the context of two consecutive skin injuries to deeply characterise lineage specific adaptation mecanisms.  
 
Overall design RNA-seq transcriptome profiling of epidermal Lrig1 and Lgr5 stem cell progenies in the context of two consecutive skin injuries. After genetical labeling through tamoxifen application, tomato positive epidermal cells were sorted from tail skin at different time points: homeostasis (0w), one week post first wound (1w); two weeks post first wound (2w); four weeks post first wound (4w); eight weeks post first wound when a new homeostasis is re-established complete re-epithelialization (8w), one week post secon wound (9w).
 
Contributor(s) Levra Levron C, Watanabe M, Proserpio V, Piacenti G, Lauria A, Kaltenbach S, Nohara T, Anselmi F, Duval C, Donna D, Baev D, Natsuga K, Hagai T, Oliviero S, Giacomo D
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Submission date Feb 28, 2022
Last update date Feb 02, 2023
Contact name Andrea Lauria
E-mail(s) andrea.lauria@unito.it
Organization name University of Turin
Department Life Sciences and Systems Biology
Lab Functional Genomics, Epigenomics - S. Oliviero
Street address Via Accademia Albertina, 13
City Turin
ZIP/Postal code 10123
Country Italy
 
Platforms (1)
GPL19057 Illumina NextSeq 500 (Mus musculus)
Samples (36)
GSM5920941 L1_0W_Rep1
GSM5920942 L1_0W_Rep2
GSM5920943 L1_0W_Rep3
This SubSeries is part of SuperSeries:
GSE197590 Wound memory of epidermal stem cells
Relations
BioProject PRJNA811337

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE197583_counts_L1.txt.gz 474.5 Kb (ftp)(http) TXT
GSE197583_counts_L5.txt.gz 558.5 Kb (ftp)(http) TXT
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Raw data are available in SRA
Processed data are available on Series record

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