Foundry120 atlas

Single-cell RNA-sequencing analysis of the IL-10 dependent response of human CD14+ monocytes to LPS

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Dataset overview

Participants 2
Samples 4
Reuse readiness 6.3/10 evidence-backed score

Deconvolution of monocyte responses in inflammatory bowel disease reveals an IL-1 cytokine network that regulates IL-23 in genetic and acquired IL-10 resistance.

Abstract

<h4>Objective</h4>Dysregulated immune responses are the cause of IBDs. Studies in mice and humans suggest a central role of interleukin (IL)-23-producing mononuclear phagocytes in disease pathogenesis. Mechanistic insights into the regulation of IL-23 are prerequisite for selective IL-23 targeting therapies as part of personalised medicine.<h4>Design</h4>We performed transcriptomic analysis to investigate IL-23 expression in human mononuclear phagocytes and peripheral blood mononuclear cells. We investigated the regulation of IL-23 expression and used single-cell RNA sequencing to derive a transcriptomic signature of hyperinflammatory monocytes. Using gene network correlation analysis, we deconvolved this signature into components associated with homeostasis and inflammation in patient biopsy samples.<h4>Results</h4>We characterised monocyte subsets of healthy individuals and patients with IBD that express IL-23. We identified autosensing and paracrine sensing of IL-1α/IL-1β and IL-10 as key cytokines that control IL-23-producing monocytes. Whereas Mendelian genetic defects in IL-10 receptor signalling induced IL-23 secretion after lipopolysaccharide stimulation, whole bacteria exposure induced IL-23 production in controls via acquired IL-10 signalling resistance. We found a transcriptional signature of IL-23-producing inflammatory monocytes that predicted both disease and resistance to antitumour necrosis factor (TNF) therapy and differentiated that from an IL-23-associated lymphocyte differentiation signature that was present in homeostasis and in disease.<h4>Conclusion</h4>Our work identifies IL-10 and IL-1 as critical regulators of monocyte IL-23 production. We differentiate homeostatic IL-23 production from hyperinflammation-associated IL-23 production in patients with severe ulcerating active Crohn's disease and anti-TNF treatment non-responsiveness. Altogether, we identify subgroups of patients with IBD that might benefit from IL-23p19 and/or IL-1α/IL-1β-targeting therapies upstream of IL-23.

Study facts

Organism
Homo sapiens
Platform
10x Genomics Chromium Controller with Illumina HiSeq 4000
Age group
Disease groups
Anatomical sites
peripheral blood

Data availability

  • Processed matrix

File types MTXTSV

Files and samples

Strengths & limitations for reuse

Strengths

  • Processed matrices are advertised
  • Cell metadata are advertised
  • Participant mapping is available
  • Participant counts are documented

Limitations

  • Not documented: raw counts are advertised
Extraction evidence & provenance

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

Assay

FieldValueEvidence
assay.assay_type droplet-based single-cell RNA sequencing
subject to droplet based single-cell RNA-sequencing

Section series_overall_design, offset —

assay.library_chemistry 10x Genomics Single Cell 3’ Solution version 2
Libraries were generated using 10x Genomics Single Cell 3’ Solution (version 2) kit.

Section extract_protocol, offset —

assay.platform 10x Genomics Chromium Controller with Illumina HiSeq 4000
Cells were captured with a 10x Genomics Chromium Controller Libraries were generated using 10x Genomics Single Cell 3’ Solution (version 2) kit and subjected to Illumina sequencing (HiSeq 4000).

Section extract_protocol, offset —

assay.reference_genome GRCh38
Genome_build: GRCh38

Section data_processing, offset —

assay.sequencing_type scrna_seq
we performed single-cell RNA sequencing (scRNA-Seq)

Section Results — Single-cell sequencing identifies inflammatory IL-10-regulated monocyte phenotypes, offset —

Cohort

FieldValueEvidence
cohort.non_ibd_controls 2
CD14+ monocytes were isolated from a healthy human donor

Section series_overall_design, offset —

cohort.total_participants 2
The stimulation with LPS + anti-IL10R antibody was repeated with cells from a second healthy donor.

Section series_overall_design, offset —

cohort.treatment_exposure_documented True
subject to droplet based single-cell RNA-sequencing after exposure to conditions of (i) no stimulation, (ii) stimulation with LPS or (iii) stimulation with LPS + anti-IL-10R antibody

Section series_overall_design, offset —

Data_Assets

FieldValueEvidence
data_assets.cell_metadata True
donor and stimulation codition is indicated in the cell barcode

Section Supplementary_files_format_and_content, offset —

data_assets.open_access True inferred
"pdat": "2020/08/01"

Section GEO record summary, offset —

data_assets.processed_matrix True
GSE130070_matrix.mtx.gz

Section dataset-authority, offset —

Processing

FieldValueEvidence
processing.batch_correction_reported True
following cross-condition alignment with Harmony

Section Figure 2 caption, offset —

processing.cell_type_annotation_method Graph-based clustering with marker-gene expression analysis
identified by a graph-based clustering approach following cross-condition alignment with Harmony

Section Figure 2 caption, offset —

processing.normalization_method Cell Ranger aggr (--normalize=none)
quantitation and aggregation of sample count matrices was performed with the "cellranger count" and "cellranger aggr" (--normalize=none) tools

Section data_processing, offset —

Specimens

FieldValueEvidence
specimens.anatomical_sites ['peripheral blood']
peripheral blood

Section sample metadata, offset —

specimens.number_of_samples 4
"n_samples": 4

Section GEO record summary, offset —

specimens.participant_to_sample_mapping_available True
donor and stimulation codition is indicated in the cell barcode with the suffixes "-d1_unstim", "-d1_stim", "-d1_aIL10R" or "-d2_aIL10R"

Section Supplementary_files_format_and_content, offset —