Single-cell RNA-sequencing analysis of the IL-10 dependent response of human CD14+ monocytes to LPS
Download from source ↗Dataset overview
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.
doi:10.1136/gutjnl-2020-321731 ↗ PMID 33037057 ↗ PMC8108288 ↗
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
- peripheral blood4
| Accession | Sample | Tissue | Molecule |
|---|---|---|---|
GSM3731506 |
d1_unstim | peripheral blood | polyA RNA |
GSM3731507 |
d1_stim | peripheral blood | polyA RNA |
GSM3731508 |
d1_aIL10R | peripheral blood | polyA RNA |
GSM3731509 |
d2_aIL10R | peripheral blood | polyA RNA |
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
| Field | Value | Evidence |
|---|---|---|
assay.assay_type |
droplet-based single-cell RNA sequencing |
subject to droplet based single-cell RNA-sequencing Section |
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 |
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 |
assay.reference_genome |
GRCh38 |
Genome_build: GRCh38 Section |
assay.sequencing_type |
scrna_seq |
we performed single-cell RNA sequencing (scRNA-Seq) Section |
Cohort
| Field | Value | Evidence |
|---|---|---|
cohort.non_ibd_controls |
2 |
CD14+ monocytes were isolated from a healthy human donor Section |
cohort.total_participants |
2 |
The stimulation with LPS + anti-IL10R antibody was repeated with cells from a second healthy donor. Section |
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 |
Data_Assets
| Field | Value | Evidence |
|---|---|---|
data_assets.cell_metadata |
True |
donor and stimulation codition is indicated in the cell barcode Section |
data_assets.open_access |
True inferred |
"pdat": "2020/08/01" Section |
data_assets.processed_matrix |
True |
GSE130070_matrix.mtx.gz Section |
Processing
| Field | Value | Evidence |
|---|---|---|
processing.batch_correction_reported |
True |
following cross-condition alignment with Harmony Section |
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 |
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 |
Specimens
| Field | Value | Evidence |
|---|---|---|
specimens.anatomical_sites |
['peripheral blood'] |
peripheral blood Section |
specimens.number_of_samples |
4 |
"n_samples": 4 Section |
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 |