Dynamic changes in human single cell transcriptional signatures during fatal sepsis
Download from source ↗Dataset overview
Dynamic changes in human single-cell transcriptional signatures during fatal sepsis.
Abstract
Systemic infections, especially in patients with chronic diseases, may result in sepsis: an explosive, uncoordinated immune response that can lead to multisystem organ failure with a high mortality rate. Patients with similar clinical phenotypes or sepsis biomarker expression upon diagnosis may have different outcomes, suggesting that the dynamics of sepsis is critical in disease progression. A within-subject study of patients with Gram-negative bacterial sepsis with surviving and fatal outcomes was designed and single-cell transcriptomic analyses of peripheral blood mononuclear cells (PBMC) collected during the critical period between sepsis diagnosis and 6 h were performed. The single-cell observations in the study are consistent with trends from public datasets but also identify dynamic effects in individual cell subsets that change within hours. It is shown that platelet and erythroid precursor responses are drivers of fatal sepsis, with transcriptional signatures that are shared with severe COVID-19 disease. It is also shown that hypoxic stress is a driving factor in immune and metabolic dysfunction of monocytes and erythroid precursors. Last, the data support CD52 as a prognostic biomarker and therapeutic target for sepsis as its expression dynamically increases in lymphocytes and correlates with improved sepsis outcomes. In conclusion, this study describes the first single-cell study that analyzed short-term temporal changes in the immune cell populations and their characteristics in surviving or fatal sepsis. Tracking temporal expression changes in specific cell types could lead to more accurate predictions of sepsis outcomes and identify molecular biomarkers and pathways that could be therapeutically controlled to improve the sepsis trajectory toward better outcomes.
Study facts
- Organism
- Homo sapiens
- Platform
- Illumina NovaSeq 6000
- Age group
- adult
- Disease groups
- —
- Anatomical sites
- peripheral blood, peripheral blood mononuclear cells
Data availability
- Raw counts
- Processed matrix
File types
MTXTSV
Files and samples
- filelist.txt ↗
- GSE167363_RAW.tar ↗
- GSM5102900_HC1_barcodes.tsv.gz ↗
- GSM5102900_HC1_features.tsv.gz ↗
- GSM5102900_HC1_matrix.mtx.gz ↗
- GSM5102901_HC2_barcodes.tsv.gz ↗
- GSM5102901_HC2_features.tsv.gz ↗
- GSM5102901_HC2_matrix.mtx.gz ↗
- GSM5102902_P25_T0_barcodes.tsv.gz ↗
- GSM5102902_P25_T0_features.tsv.gz ↗
- GSM5102902_P25_T0_matrix.mtx.gz ↗
- GSM5102903_P25_T6_barcodes.tsv.gz ↗
- GSM5102903_P25_T6_features.tsv.gz ↗
- GSM5102903_P25_T6_matrix.mtx.gz ↗
- GSM5102904_P50_T0_barcodes.tsv.gz ↗
- GSM5102904_P50_T0_features.tsv.gz ↗
- GSM5102904_P50_T0_matrix.mtx.gz ↗
- GSM5102905_P50_T6_barcodes.tsv.gz ↗
- GSM5102905_P50_T6_features.tsv.gz ↗
- GSM5102905_P50_T6_matrix.mtx.gz ↗
- GSM5511351_NSES_T0_barcodes.tsv.gz ↗
- GSM5511351_NSES_T0_features.tsv.gz ↗
- GSM5511351_NSES_T0_matrix.mtx.gz ↗
- GSM5511352_NSES_T6_barcodes.tsv.gz ↗
- GSM5511352_NSES_T6_features.tsv.gz ↗
- GSM5511352_NSES_T6_matrix.mtx.gz ↗
- GSM5511353_S2_T0_barcodes.tsv.gz ↗
- GSM5511353_S2_T0_features.tsv.gz ↗
- GSM5511353_S2_T0_matrix.mtx.gz ↗
- GSM5511354_S2_T6_barcodes.tsv.gz ↗
- GSM5511354_S2_T6_features.tsv.gz ↗
- GSM5511354_S2_T6_matrix.mtx.gz ↗
- GSM5511355_S3_T0_barcodes.tsv.gz ↗
- GSM5511355_S3_T0_features.tsv.gz ↗
- GSM5511355_S3_T0_matrix.mtx.gz ↗
- GSM5511356_S3_T6_barcodes.tsv.gz ↗
- GSM5511356_S3_T6_features.tsv.gz ↗
- GSM5511356_S3_T6_matrix.mtx.gz ↗
- index.html ↗
- Blood6
- blood6
| Accession | Sample | Tissue | Molecule |
|---|---|---|---|
GSM5102900 |
HC1 | Blood | polyA RNA |
GSM5102901 |
HC2 | Blood | polyA RNA |
GSM5102902 |
NS LS T0 | Blood | polyA RNA |
GSM5102903 |
NS LS T6 | Blood | polyA RNA |
GSM5102904 |
S1 T0 | Blood | polyA RNA |
GSM5102905 |
S1 T6 | Blood | polyA RNA |
GSM5511351 |
NS ES_T0 | blood | polyA RNA |
GSM5511352 |
NS ES_T6 | blood | polyA RNA |
GSM5511353 |
S2_T0 | blood | polyA RNA |
GSM5511354 |
S2_T6 | blood | polyA RNA |
GSM5511355 |
S3_T0 | blood | polyA RNA |
GSM5511356 |
S3_T6 | blood | polyA RNA |
Strengths & limitations for reuse
Strengths
- Raw counts are advertised
- Processed matrices are advertised
- Participant mapping is available
- 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-cell RNA sequencing inferred |
Expression profiling by high throughput sequencing Section |
assay.library_chemistry |
10x Genomics Chromium Next GEM Single Cell 3′ Reagent Kits v3.1 |
The single-cell RNA-seq libraries for Illumina sequencing using the Chromium Next GEM Single Cell 3′ Reagent Kits v3.1 (10x Genomics) Section |
assay.platform |
Illumina NovaSeq 6000 |
Illumina NovaSeq 6000 Section |
assay.reference_genome |
GRCh38 |
Genome_build: GRCh38 Section |
assay.sequencing_type |
scrna_seq |
Single-cell RNA-sequencing Section |
Cohort
| Field | Value | Evidence |
|---|---|---|
cohort.age_group |
adult from source |
GEO age characteristics: 35-40; 45-50; 90-95; 90-95; 65-70; 65-70; 65-70; 65-70; 45-50; 45-50; 70-75; 70-75 Section |
cohort.non_ibd_controls |
2 computed |
GEO characteristics group 'non_ibd_controls': 2 subjects Section |
cohort.study_design |
longitudinal |
we designed a within-subject study Section |
cohort.total_participants |
7 computed |
7 distinct subject/participant IDs across GEO samples Section |
Data_Assets
| Field | Value | Evidence |
|---|---|---|
data_assets.open_access |
True |
Public on Mar 03 2021 Section |
data_assets.participant_metadata |
True |
"donor": "Tissue donor 1" Section |
data_assets.processed_matrix |
True |
GSM5102900_HC1_matrix.mtx.gz Section |
data_assets.raw_counts |
True |
We obtained the feature-barcode matrix that contains gene expression counts in the outputs. Section |
Specimens
| Field | Value | Evidence |
|---|---|---|
specimens.anatomical_sites |
['peripheral blood', 'peripheral blood mononuclear cells'] |
Single-cell RNA-sequencing of human peripheral blood mononuclear cells Section |
specimens.number_of_samples |
12 |
"n_samples": 12 Section |
specimens.participant_to_sample_mapping_available |
True |
"donor": "Tissue donor 1" Section |