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GEO help: Mouse over screen elements for information. |
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Status |
Public on Feb 21, 2024 |
Title |
RNA-seq from skin CD4+ CCR6- Th1 cells following S.epi treatment (rep2) |
Sample type |
SRA |
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Source name |
skin
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Organism |
Mus musculus |
Characteristics |
tissue: skin cell type: CD4+ CCR6- Tcells genotype: WT treatment: Staphylococcus epidermidis
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Treatment protocol |
Mice were treated with S. epidermidis every other day with 4 topical applications in total. Cells were harvsted 2 weeks after the first topical application
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Extracted molecule |
total RNA |
Extraction protocol |
Tissues were harvested and cells were extracted (see manuscript for details) and sorted. T cells were sorted as CD4+ CD25- CCR6- for Th1 cells and CD4+ CD25- CCR6+ for Th17. Keratinocytes were sorted as LD-Cd45-Cd31-Cd34-Cd49f+Sca1+. For more details for the protocol used to sort T cells refer to Linehan et al, 2018; For more details for the protocol used to sort keratinicytes refer to Lima-Junior et al., 2021 For T cells, cells were processed and analyzed for RNA-seq as described in Linehan et al., 2018. For keratiocytes: Keratinocytes from Lck-Cre Ramp1 fl/fl and WT mice were sorted as described in Lima-Junior et al., 2021. For T cells: mRNA libraries were constructed using SMARTer Ultra Low Input RNA kit (Clonetech) + Nextera XT DNA library prep kit (Illumina). For keratinocytes: RNA libraries were construted using the mouse Tecan SoLo library preparation kit.
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Library strategy |
RNA-Seq |
Library source |
transcriptomic |
Library selection |
cDNA |
Instrument model |
Illumina HiSeq 4000 |
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Data processing |
For T cells, cells were processed and analyzed for RNA-seq as described in Linehan et al., 2018. For keratinocytes: Sequencing reads were mapped to the mm10 (GRCm38) mouse genome using STAR with stringent mapping conditions, where reads aligned to multiple regions of the genome were eliminated (-outFilterMultimapNmax 2). Differential gene expression was calculated using HOMER’s getDiffExpression (Heinz et al. 2010). Genes with FDR < 0.05 and foldchange > 2 were considered differentially expressed transcripts. Retroelement and noncoding transcript expression was determined using HOMER, defining these transcripts based on the annotations provided by the Genome-based Endogenous Viral Element Database (gEVE) for GRCm38. For the analysis of individual loci, reads were analyzed using HOMER’s analyzeRepeats function (Heinz et al. 2010), along with a custom GFT file with the gEVE annotations. For the analysis of retroelement and noncoding transcript family motifs, reads were analyzed using the analyzeRepeats function with parameters “repeats mm10”. Assembly: mm10 (GRCm38) Supplementary files format and content: file format: txt Supplementary files format and content: content for T cells: mean, foldchange and p-values; content for keratinocytes: TPM per replicate
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Submission date |
Jan 11, 2024 |
Last update date |
Feb 21, 2024 |
Contact name |
Verena Link |
E-mail(s) |
verena.link@nih.gov
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Organization name |
NIH
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Department |
NIAID
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Street address |
4 Memorial Drive
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City |
Bethesda |
ZIP/Postal code |
20892 |
Country |
USA |
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Platform ID |
GPL21103 |
Series (1) |
GSE253041 |
The neuroimmune CGRP-RAMP1 axis tunes cutaneous adaptive immunity to the microbiota. |
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Relations |
BioSample |
SAMN39411998 |
SRA |
SRX23170232 |
Supplementary data files not provided |
SRA Run Selector |
Raw data are available in SRA |
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