Single-cell RNA sequencing of PBMCs from patients with myasthenia gravis and healthy controls
Single-cell RNA-seq · human · 25 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
- 25 samples: 23 distinct titles, 1 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.
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 GSE297547_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 PRJNA1265170 and SRA study SRP586352. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 25 sample titles: 23 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.
- GSM8994520 PBMC from C01 sample
- GSM8994521 PBMC from C02 sample
- GSM8994522 PBMC from C03 sample
- GSM8994523 PBMC from C04 sample
- GSM8994524 PBMC from C05 sample
- GSM8994525 PBMC from C06 sample
- GSM8994526 PBMC from C07 sample
- GSM8994527 PBMC from C08 sample
- GSM8994528 PBMC from C09 sample
- GSM8994529 PBMC from C10 sample
- GSM8994530 PBMC from MG01 control
- GSM8994531 PBMC from MG02 control
- GSM8994532 PBMC from MG03 control
- GSM8994533 PBMC from MG04 control
- GSM8994534 PBMC from MG05 control
- GSM8994535 PBMC from MG06 control
- GSM8994536 PBMC from MG07 control
- GSM8994537 PBMC from MG08 control
- GSM8994538 PBMC from MG09 control
- GSM8994539 Information of vdj from C04 and MG04
- GSM8994540 Information of vdj from C05 and MG05
- GSM8994541 Information of vdj from C08
- GSM8994542 Information of vdj from MG06
- GSM8994543 Information of vdj from MG07
- GSM8994544 Information of vdj from MG08
- GSE227835 Single-cell RNA-seq data of human PBMC from Myasthenia Gravis patients 40 samples shares single-cell, myasthenia, gravis
- GSE161245 Comparison of bronchial epithelial cells obtained by bronchoscopy from mild asthma patients, moderate asthma patients, severe asthma patients and healthy controls 55 samples shares controls, healthy
- GSE98793 Gene expression analysis in whole blood samples obtained from donors diagnosed with MDD compared to healthy controls 192 samples shares controls, healthy
- GSE327386 RNA-Seq of paired diagnosis and relapse AML specimens with healthy controls 130 samples shares controls, healthy
- GSE233321 Single-cell map of the healthy human immune system across the lifespan reveals unique infant immune signatures 118 samples shares single-cell, healthy
- GSE279945 OP3: single-cell multimodal dataset in PBMCs for perturbation prediction benchmarking 102 samples shares single-cell, pbmcs
- GSE294559 Single-cell multi-omics characterize colorectal tumors, adjacent healthy tissue and matched organoids identifying CRC-unique features 72 samples shares single-cell, healthy
- GSE334588 Single-cell transcriptomic atlas of adult dermatomyositis, cutaneous lupus erythematosus and healthy skin 48 samples shares single-cell, healthy
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.