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SRX1997783: GSM2258553: AB577; Mus musculus; RNA-Seq
1 ILLUMINA (NextSeq 500) run: 16.4M spots, 1G bases, 1.5Gb downloads

Submitted by: NCBI (GEO)
Study: The spectrum and regulatory landscapes of intestinal innate lymphoid cells are shaped by the microbiome (single cells)
show Abstracthide Abstract
Innate lymphoid cells (ILCs) are critical modulators of mucosal immunity, inflammation, and tissue homeostasis, but their full spectrum of cellular states and regulatory landscapes remain elusive. Here, we use a combination of genome-wide RNA-seq, ChIP-seq and ATAC-seq to compare the transcriptional and epigenetic identity of small intestinal ILCs, identifying thousands of distinct gene profiles and regulatory elements. Single-cell RNA-seq, cytometry, and imaging analyses reveal functional compartmentalization of cytokine expression and metabolic activity within the three classical ILC subtypes, and highlight transcriptional states beyond the current canonical classification. In addition, using antibiotic intervention and germ-free mice, we characterize the effect of the microbiome on the ILC regulatory landscape, and determine the response of ILCs to microbial colonization at the single-cell level. Together, our work characterizes the spectrum of transcriptional identities of small intestinal ILCs and describes how ILCs differentially integrate signals from the microbial microenvironment to generate phenotypic and functional plasticity. Overall design: ILC1(CD45+CD3-CD19-GR1-B220-CD127+ROR?t-NkP46+), ILC2(CD45+CD3-CD19-GR1-B220-CD127+ROR?t-KLRG1+) and ILC3(CD45+CD3-CD19-GR1-B220-CD127+ROR?t+) were isolated from small intestine lamina propria of WT C57Bl/6 ROR?t-GFP mice, or antibiotics treated mice (vancomycin, ampicillin,kanamycin, and metronidazole)
Sample: AB577
SAMN05509348 • SRS1599208 • All experiments • All runs
Organism: Mus musculus
Library:
Instrument: NextSeq 500
Strategy: RNA-Seq
Source: TRANSCRIPTOMIC
Selection: cDNA
Layout: SINGLE
Construction protocol: Cells were extracted using the lamina propria dissociation kit (Miltenyi Biotech). 3' end mRNA libraries were prepared for sequencing using MARS-seq (Jaitin et al, Science 2014) single cell RNA-seq for gene expression quantitation
Experiment attributes:
GEO Accession: GSM2258553
Links:
Runs: 1 run, 16.4M spots, 1G bases, 1.5Gb
Run# of Spots# of BasesSizePublished
SRR399691316,398,2051G1.5Gb2016-08-19

ID:
2873699

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