Gene expression profile at single cell level of BM MNCs from CCUS patients and healthy donors
Single-cell RNA-seq · human · 16 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
- 16 samples: 16 samples, each with a distinct title — no replicated groupsGroups 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.
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 GSE276974_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 PRJNA1159863 and SRA study SRP532170. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 16 sample titles: 16 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.
- GSM8510583 BM MNCs, CCUS, CCUS-70-a
- GSM8510584 BM MNCs, CCUS, CCUS-70-b
- GSM8510585 BM MNCs, CCUS, CCUS-70-c
- GSM8510586 BM MNCs, CCUS, CCUS-70-d
- GSM8510587 BM MNCs, CCUS, CCUS-70-e
- GSM8510588 BM MNCs, CCUS, CCUS-52-a
- GSM8510589 BM MNCs, CCUS, CCUS-52-b
- GSM8510590 BM MNCs, CCUS, CCUS-52-c
- GSM8510591 BM MNCs, CCUS, CCUS-52-d
- GSM8510592 BM MNCs, CCUS, CCUS-52-e
- GSM8510593 BM MNCs, Healthy Donor, HDMCBM-a
- GSM8510594 BM MNCs, Healthy Donor, HDMCBM-b
- GSM8510595 BM MNCs, Healthy Donor, HDMCBM-c
- GSM8510596 BM MNCs, Healthy Donor, HD10-a
- GSM8510597 BM MNCs, Healthy Donor, HD10-b
- GSM8510598 BM MNCs, Healthy Donor, HD10-c
- GSE325729 Bulk RNA-seq of SIT1 knockout and control T cells from human healthy donors 24 samples shares healthy, donors
- GSE98793 Gene expression analysis in whole blood samples obtained from donors diagnosed with MDD compared to healthy controls 192 samples shares healthy, donors
- GSE320009 Synergistic role of riboflavin-auxotrophic Enterococcus for MR1 expression and in-tra-tumoral mucosal associated invariant T (MAIT) cell activation 18 samples shares ccus
- GSE305125 Molecular Signatures of Peripheral and Central Dental Pulp Subpopulations in Response to Streptococcus mutans: A Bulk RNA-Seq Analysis 36 samples shares ccus
- GSE228598 Gene expression profile at single cell level of Peritoneal Cells in Patients with Gastric Cancer 28 samples shares level
- GSE235512 Gene expression profile at the single-cell level of skin and PBMC samples collected from patients with severe cutaneous adverse drug reactions (SCADR). 14 samples shares level
- GSE234209 Gene expression profile at single cell level of immune cells and gastric cancer cells from multipoint biopsy samples of 2 gastric cancer patients treated by PD-1 antibody-based therapy 12 samples shares level
- GSE254569 Gene expression profiles at single-cell level of human post-mortem brain tissue from the orbitofrontal cortex 92 samples shares level
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.