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Series GSE197589 Query DataSets for GSE197589
Status Public on Feb 02, 2023
Title Wound memory of epidermal stem cells [scRNAseq_L5]
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 single cell 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 Single cell RNA-seq transcriptome profiling of epidermal 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); 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 (637)
GSM5922338 C171_A10_L5_9w_RepS_10
GSM5922339 C171_A11_L5_9w_RepS_11
GSM5922340 C171_A12_L5_9w_RepS_12
This SubSeries is part of SuperSeries:
GSE197590 Wound memory of epidermal stem cells
Relations
BioProject PRJNA811145

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

Supplementary file Size Download File type/resource
GSE197589_L5_rawcounts.txt.gz 4.7 Mb (ftp)(http) TXT
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Raw data are available in SRA
Processed data are available on Series record

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