Foundry120 atlas

Longitudinal single cell RNA-seq of the inflamed colon

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Dataset overview

Participants None
Samples 88
Reuse readiness 5.1/10 evidence-backed score

Longitudinal Single-Cell Transcriptomics Reveals a Role for Serpina3n-Mediated Resolution of Inflammation in a Mouse Colitis Model.

Abstract

<h4>Background & aims</h4>Proper resolution of inflammation is essential to maintaining homeostasis, which is important as a dysregulated inflammatory response has adverse consequences, even being regarded as a hallmark of cancer. However, our picture of dynamic changes during inflammation remains far from comprehensive.<h4>Methods</h4>Here we used single-cell transcriptomics to elucidate changes in distinct cell types and their interactions in a mouse model of chemically induced colitis.<h4>Results</h4>Our analysis highlights the stromal cell population of the colon functions as a hub with dynamically changing roles over time. Importantly, we found that Serpina3n, a serine protease inhibitor, is specifically expressed in stromal cell clusters as inflammation resolves, interacting with a potential target, elastase. Indeed, genetic ablation of the Serpina3n gene delays resolution of induced inflammation. Furthermore, systemic Serpina3n administration promoted the resolution of inflammation, ameliorating colitis symptoms.<h4>Conclusions</h4>This study provides a comprehensive, single-cell understanding of cell-cell interactions during colorectal inflammation and reveals a potential therapeutic target that leverages inflammation resolution.

Study facts

Organism
Mus musculus
Platform
Illumina NextSeq 500
Age group
Disease groups
Anatomical sites
Colon

Data availability

  • Raw counts

File types TSV

Files and samples

Strengths & limitations for reuse

Strengths

  • Raw reads are advertised
  • Raw counts are advertised
  • Cell metadata are advertised

Limitations

  • Not documented: processed matrices are advertised
  • Not documented: participant counts are documented
Extraction evidence & provenance

Each extracted field is shown with the source excerpt and location used to resolve it.

Assay

FieldValueEvidence
assay.assay_type FACS-based single-cell RNA-seq
FACS-based, smart-seq2 method

Section series_overall_design, offset —

assay.library_chemistry modified Smart-seq2
RNA-seq library was constructed using modified Smart-seq2 method.

Section samples, offset —

assay.platform Illumina NextSeq 500
The sequencing libraries were sequenced on the Illumina NextSeq500 platform.

Section series_overall_design, offset —

assay.reference_genome mm10 inferred
Genome_build: ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE63nnn/GSE63472/suppl/GSE63472_mm10_reference_metadata.tar.gz

Section samples, offset —

assay.sequencing_type scrna_seq
"title": "Longitudinal single cell RNA-seq of the inflamed colon"

Section geo_record_summary, offset —

Cohort

FieldValueEvidence
cohort.study_design longitudinal
Longitudinal single cell RNA-seq of the inflamed colon

Section series_title, offset —

cohort.treatment_exposure_documented True from source
GEO sample characteristics document treatment/therapy

Section GEO family SOFT, offset —

Data_Assets

FieldValueEvidence
data_assets.cell_metadata True
GSE148794_serpin.metadata.tsv.gz

Section repository files, offset —

data_assets.open_access True
Public on Sep 03 2021

Section series, offset —

data_assets.raw_counts True
GSE148794_serpin.count_table.tsv.gz

Section repository files, offset —

data_assets.raw_reads True inferred
SRA: https://www.ncbi.nlm.nih.gov/sra?term=SRP256617

Section series_relation, offset —

Specimens

FieldValueEvidence
specimens.anatomical_sites ['Colon']
"source_name": "Colon"

Section samples, offset —

specimens.number_of_samples 88
"n_samples": 88

Section geo_record_summary, offset —