Single-cell transcriptomic analysis demonstrates decreased TNF signaling in patients receiving BAF312 during intracerebral hemorrhage
Single-cell RNA-seq · human · 22 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Homo sapiens (human)
- Samples
- 22 samples: 18 distinct titles, 2 of them repeatedGroups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
- Paper
- Intracerebral hemorrhage induces monocyte TNF signaling that is suppressed by Siponimod (BAF312): a single-cell transcriptomics study in patientsmedRxiv : the preprint server for health sciences · 2026
Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.
Processed table
The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE313043_RAW.tar (it can run to tens of gigabytes).
Raw sequencing reads
The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.
What the files usually look like: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.
Also filed as BioProject PRJNA1378188 and SRA study SRP653787. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 22 sample titles: 18 distinct titles with little repetition. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
- GSM9359705 Patient_2_Day_1
- GSM9359706 Patient_2_Day_2
- GSM9359707 Patient_2_Day_7
- GSM9359708 Patient_3_4_Day_1_3_7_MixA
- GSM9359709 Patient_3_4_Day_1_3_7_MixA-CITESEQ
- GSM9359710 Patient_3_4_Day_1_3_7_MixB
- GSM9359711 Patient_3_4_Day_1_3_7_MixB-CITESEQ
- GSM9359712 Patient_3_4_Day_1_3_7_MixC
- GSM9359713 Patient_3_4_Day_1_3_7_MixC-CITESEQ
- GSM9359714 Patient_5_Day_1
- GSM9359715 Patient_5_Day_3
- GSM9359716 Patient_5_Day_7
- GSM9359717 Patient_6_Day_1_3_7_MixA
- GSM9359718 Patient_6_Day_1_3_7_MixA-CITESEQ
- GSM9359719 Patient_6_Day_1_3_7_MixB
- GSM9359720 Patient_6_Day_1_3_7_MixB-CITESEQ
- GSM9359721 Patient_7_8_Day_1_3_7_MixA
- GSM9359722 Patient_7_8_Day_1_3_7_MixA-CITESEQ
- GSM9359723 Patient_7_8_Day_1_3_7_MixB
- GSM9359724 Patient_7_8_Day_1_3_7_MixB-CITESEQ
- GSM9359725 Patient_7_8_Day_1_3_7_MixC
- GSM9359726 Patient_7_8_Day_1_3_7_MixC-CITESEQ
- GSE296792 Neutrophil Degranulation is Increased at Seven Days after Human Intracerebral Hemorrhage, but not at 72 Hours, and Correlates with Decreased miR-3613 and miR-3690 154 samples shares intracerebral, hemorrhage, decreased
- GSE266873 Single-cell RNA sequencing reveals the evolution of immune landscape during perihematomal edema progression after intracerebral hemorrhage 9 samples shares intracerebral, single-cell, hemorrhage
- GSE176189 Integrative single-cell and spatial transcriptomic analyses identify a pathogenic cholangiocyte niche and TNFRSF12A as therapeutic target for biliary atresia 36 samples shares tnf, single-cell
- GSE289019 Single-cell multi-omics reveals the TNF-α activation threshold for Classical Monocytes by studying healthy donors and rheumatoid arthritis patients 2 samples shares tnf, single-cell
- GSE317789 Single-cell and spatial profiling reveal cDC2A-CXCL13+ CD8+ T-epithelial cell crosstalk and cytotoxicity through TNFRSF9 in cutaneous and mucosal lichen planus 42 samples shares tnf, single-cell
- GSE296117 A single-cell RNA-seq dataset of synovial fluid from rheumatoid arthritis treated with TNF-α/JAK inhibitor 18 samples shares tnf, single-cell
- GSE298464 Single-cell RNA sequencing reveals ulcerative colitis patients’ response to anti-TNF-α therapy 16 samples shares tnf, single-cell
- GSE269631 Single-cell transcriptomic and targeted genomic profiling reveal CRTAM and PLCB1 as novel hub genes for anti-TNFα therapy response in Crohn's disease 6 samples shares tnf, single-cell
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.