Concordant B and T Cell Heterogeneity Inferred from the Multiomic Landscape of Peripheral Blood Mononuclear Cells in a Crohn's Disease Cohort
Download from source ↗Dataset overview
Concordant B and T Cell Heterogeneity Inferred from the Multiomic Landscape of Peripheral Blood Mononuclear Cells in a Crohn's Disease Cohort.
Abstract
<h4>Background and aims</h4>Crohn's disease is characterized by inflammation in the gastrointestinal tract due to a combination of genetic, immune, and environmental factors. Transcriptomic and epigenomic profiling of intestinal tissue of Crohn's disease patients have revealed valuable insights into pathology, however have not been conducted jointly on less invasive peripheral blood mononuclear cells (PBMCs). Furthermore, the heterogeneous responses to treatments among individuals with Crohn's disease imply hidden diversity of pathological mechanisms.<h4>Methods</h4>We employed single nucleus multiomic analysis, integrating both snRNA-seq and snATAC-seq of PBMCs with a variety of open source bioinformatics applications.<h4>Results</h4>Our findings reveal a diverse range of transcriptional signatures among individuals, highlighting the heterogeneity in PBMC profiles. Nevertheless, striking concordance between three heterogeneous groups was observed across B cells and T cells. Differential gene regulatory mechanisms partially explain these profiles, notably including a signature involving TGFß signaling in two individuals with Crohn's disease. A mutation mapped to a transcription factor binding site within a differentially accessible peak associated with the expression of this pathway, with implications for a personalized approach to understanding disease pathology.<h4>Conclusions</h4>This study highlights how multiomic analysis can reveal common regulatory mechanisms that underlie heterogeneity of PBMC profiles, one of which may be specific to inflammatory disease.
doi:10.1093/ecco-jcc/jjae055 ↗ PMID 38613150 ↗ PMC11637485 ↗
Study facts
- Organism
- Homo sapiens
- Platform
- single nucleus multiomic
- Age group
- —
- Disease groups
- —
- Anatomical sites
- PBMC
Data availability
- Raw counts
- Processed matrix
File types
MTXRDSTSV
Files and samples
- filelist.txt ↗
- GSE244831_crohns_multiome.rds.gz ↗
- GSE244831_RAW.tar ↗
- GSM7830515_Sample_0_barcodes.tsv.gz ↗
- GSM7830515_Sample_0_features.tsv.gz ↗
- GSM7830515_Sample_0_matrix.mtx.gz ↗
- GSM7830516_Sample_1_barcodes.tsv.gz ↗
- GSM7830516_Sample_1_features.tsv.gz ↗
- GSM7830516_Sample_1_matrix.mtx.gz ↗
- GSM7830517_Sample_2_barcodes.tsv.gz ↗
- GSM7830517_Sample_2_features.tsv.gz ↗
- GSM7830517_Sample_2_matrix.mtx.gz ↗
- GSM7830518_Pool_2_barcodes.tsv.gz ↗
- GSM7830518_Pool_2_features.tsv.gz ↗
- GSM7830518_Pool_2_matrix.mtx.gz ↗
- GSM7830519_Pool_3_barcodes.tsv.gz ↗
- GSM7830519_Pool_3_features.tsv.gz ↗
- GSM7830519_Pool_3_matrix.mtx.gz ↗
- GSM7830520_Pool_4_barcodes.tsv.gz ↗
- GSM7830520_Pool_4_features.tsv.gz ↗
- GSM7830520_Pool_4_matrix.mtx.gz ↗
- GSM7830521_Pool_5_barcodes.tsv.gz ↗
- GSM7830521_Pool_5_features.tsv.gz ↗
- GSM7830521_Pool_5_matrix.mtx.gz ↗
- GSM7830522_Pool_6_barcodes.tsv.gz ↗
- GSM7830522_Pool_6_features.tsv.gz ↗
- GSM7830522_Pool_6_matrix.mtx.gz ↗
- GSM7830523_Pool_7_barcodes.tsv.gz ↗
- GSM7830523_Pool_7_features.tsv.gz ↗
- GSM7830523_Pool_7_matrix.mtx.gz ↗
- GSM7830524_Pool_8_barcodes.tsv.gz ↗
- GSM7830524_Pool_8_features.tsv.gz ↗
- GSM7830524_Pool_8_matrix.mtx.gz ↗
- GSM7830525_Pool_9_barcodes.tsv.gz ↗
- GSM7830525_Pool_9_features.tsv.gz ↗
- GSM7830525_Pool_9_matrix.mtx.gz ↗
- GSM7830526_Pool_10_barcodes.tsv.gz ↗
- GSM7830526_Pool_10_features.tsv.gz ↗
- GSM7830526_Pool_10_matrix.mtx.gz ↗
- GSM7830527_Pool_11_barcodes.tsv.gz ↗
- GSM7830527_Pool_11_features.tsv.gz ↗
- GSM7830527_Pool_11_matrix.mtx.gz ↗
- GSM7830528_Sample_0_atac_fragments.tsv.gz ↗
- GSM7830529_Sample_1_atac_fragments.tsv.gz ↗
- GSM7830530_Sample_2_atac_fragments.tsv.gz ↗
- GSM7830531_Pool_2_atac_fragments.tsv.gz ↗
- GSM7830532_Pool_3_atac_fragments.tsv.gz ↗
- GSM7830533_Pool_4_atac_fragments.tsv.gz ↗
- GSM7830534_Pool_5_atac_fragments.tsv.gz ↗
- GSM7830535_Pool_6_atac_fragments.tsv.gz ↗
- GSM7830536_Pool_7_atac_fragments.tsv.gz ↗
- GSM7830537_Pool_8_atac_fragments.tsv.gz ↗
- GSM7830538_Pool_9_atac_fragments.tsv.gz ↗
- GSM7830539_Pool_10_atac_fragments.tsv.gz ↗
- GSM7830540_Pool_11_atac_fragments.tsv.gz ↗
- index.html ↗
- PBMC26
| Accession | Sample | Tissue | Molecule |
|---|---|---|---|
GSM7830515 |
Sample_0, PBMC, snRNAseq | PBMC | total RNA |
GSM7830516 |
Sample_1, PBMC, snRNAseq | PBMC | total RNA |
GSM7830517 |
Sample_2, PBMC, snRNAseq | PBMC | total RNA |
GSM7830518 |
Pool_2, PBMC, snRNAseq | PBMC | total RNA |
GSM7830519 |
Pool_3, PBMC, snRNAseq | PBMC | total RNA |
GSM7830520 |
Pool_4, PBMC, snRNAseq | PBMC | total RNA |
GSM7830521 |
Pool_5, PBMC, snRNAseq | PBMC | total RNA |
GSM7830522 |
Pool_6, PBMC, snRNAseq | PBMC | total RNA |
GSM7830523 |
Pool_7, PBMC, snRNAseq | PBMC | total RNA |
GSM7830524 |
Pool_8, PBMC, snRNAseq | PBMC | total RNA |
GSM7830525 |
Pool_9, PBMC, snRNAseq | PBMC | total RNA |
GSM7830526 |
Pool_10, PBMC, snRNAseq | PBMC | total RNA |
GSM7830527 |
Pool_11, PBMC, snRNAseq | PBMC | total RNA |
GSM7830528 |
Sample_0, PBMC, snATACseq | PBMC | genomic DNA |
GSM7830529 |
Sample_1, PBMC, snATACseq | PBMC | genomic DNA |
GSM7830530 |
Sample_2, PBMC, snATACseq | PBMC | genomic DNA |
GSM7830531 |
Pool_2, PBMC, snATACseq | PBMC | genomic DNA |
GSM7830532 |
Pool_3, PBMC, snATACseq | PBMC | genomic DNA |
GSM7830533 |
Pool_4, PBMC, snATACseq | PBMC | genomic DNA |
GSM7830534 |
Pool_5, PBMC, snATACseq | PBMC | genomic DNA |
GSM7830535 |
Pool_6, PBMC, snATACseq | PBMC | genomic DNA |
GSM7830536 |
Pool_7, PBMC, snATACseq | PBMC | genomic DNA |
GSM7830537 |
Pool_8, PBMC, snATACseq | PBMC | genomic DNA |
GSM7830538 |
Pool_9, PBMC, snATACseq | PBMC | genomic DNA |
GSM7830539 |
Pool_10, PBMC, snATACseq | PBMC | genomic DNA |
GSM7830540 |
Pool_11, PBMC, snATACseq | PBMC | genomic DNA |
Strengths & limitations for reuse
Strengths
- Raw counts are advertised
- Processed matrices are advertised
- Participant counts are documented
Limitations
- Not documented: cell metadata 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 |
single nucleus multiomic |
We employed single nucleus multiomic analysis, integrating both snRNA-seq and snATAC-seq of PBMCs with a variety of open source bioinformatics applications. Section |
assay.reference_genome |
hg38 |
Assembly: hg38 Section |
assay.sequencing_type |
snrna_seq |
To investigate the heterogeneity of gene regulation in Crohn's disease and healthy PBMC using multiome snRNA-seq and snATAC-seq. Section |
Cohort
| Field | Value | Evidence |
|---|---|---|
cohort.total_participants |
3 computed |
3 distinct subject/participant IDs across GEO samples Section |
Data_Assets
| Field | Value | Evidence |
|---|---|---|
data_assets.open_access |
True |
Public on Oct 10 2023 Section |
data_assets.processed_matrix |
True |
GSE244831_crohns_multiome.rds.gz Section |
data_assets.raw_counts |
True |
"suppfile": "MTX, RDS, TSV" Section |
Specimens
| Field | Value | Evidence |
|---|---|---|
specimens.anatomical_sites |
['PBMC'] |
"source_name": {"PBMC": 26} Section |
specimens.number_of_samples |
13 |
"molecule": {"total RNA": 13, "genomic DNA": 13} Section |