CD4+ CAR-T cell exhaustion associated with early relapse of multiple myeloma after BCMA CAR-T cell therapy
RNA-seq (gene expression) · human · 23 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Homo sapiens (human)
- Topic
- Multiple myelomaThis series is part of our curated briefing on it.
- Samples
- 23 samples: 23 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.
- Paper
- CD4+ CAR T-cell exhaustion associated with early relapse of multiple myeloma after BCMA CAR T-cell therapyBlood advances · 2024
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 GSE274187_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA1145367 and SRA study SRP468635. Searching any of these in the dataset finder brings you back here.
Supports a case/control comparison: 19 samples read as cases, 4 as controls.
How we read this: Read from 23 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.
- GSM7867490 Myeloma_patient_01_T_cells, Gene expression (T1_GEX)
- GSM7867491 Myeloma_patient_01_T_cells, T cell receptor (T1_TCR)
- GSM7867492 Myeloma_patient_01_T_cells, Gene expression (T2_GEX)
- GSM7867493 Myeloma_patient_01_T_cells, T cell receptor (T2_TCR)
- GSM7867494 Myeloma_patient_02_T_cells, Gene expression (T3_GEX)
- GSM7867495 Myeloma_patient_02_T_cells, Surface protein (T3_CSFL)
- GSM7867496 Myeloma_patient_02_T_cells, T cell receptor (T3_TCR)
- GSM7867497 Myeloma_patient_03_T_cells, Gene expression (T4_GEX)
- GSM7867498 Myeloma_patient_03_T_cells, Surface protein (T4_CSFL)
- GSM7867499 Myeloma_patient_03_T_cells, T cell receptor (T4_TCR)
- GSM7867500 Myeloma_patient_04_T_cells, Gene expression (T5_GEX)
- GSM7867501 Myeloma_patient_04_T_cells, T cell receptor (T5_TCR)
- GSM7867502 Healthy_donor_01_T_cells, Gene expression (T42_GEX)
- GSM7867503 Healthy_donor_01_T_cells, T cell receptor (T42_TCR)
- GSM7867504 Healthy_donor_01_T_cells, Gene expression (T43_GEX)
- GSM7867505 Healthy_donor_01_T_cells, T cell receptor (T43_TCR)
- GSM7867506 Myeloma_patient_01_nonBnonT_cells, Gene expression (M1_GEX)
- GSM7867507 Myeloma_patient_01_nonBnonT_cells, Gene expression (M2_GEX)
- GSM8444791 Myeloma patient 04 (T-cells) Bone Marrow scRNAseq -30d post treatment (T6)
- GSM8444792 Myeloma patient 11 (T-cells) PBMC scRNAseq -14d post treatment (T7)
- GSM8444793 Myeloma patient 11 (T-cells) PBMC scRNAseq -14d post treatment (T8)
- GSM8444794 Myeloma patient 02 (non-B, non-T cells) Bone Marrow scRNAseq -180d post treatment (M3)
- GSM8444795 Myeloma patient 03 (non-B, non-T cells) Bone Marrow scRNAseq -270d post treatment (M4)
- GSE161195 Single cell RNA-seq of relapsed and refractory multiple myeloma patients defines new resistance pathways and targeted treatments 213 samples same disease briefing · shares multiple, relapse, myeloma
- GSE155631 Oncogenic mechanisms of DIS3 mutations in Multiple Myeloma 62 samples same disease briefing · shares multiple, myeloma
- GSE167969 ATAC-seq and RNA-Seq of Multiple Myeloma 46 samples same disease briefing · shares multiple, myeloma
- GSE148715 “Direct to Drug” screening as a precision medicine tool in multiple myeloma 38 samples same disease briefing · shares multiple, myeloma
- GSE167968 RNA-seq of Multiple Myeloma 33 samples same disease briefing · shares multiple, myeloma
- GSE179453 Expression data from control-knockdown (CTR-KD) and MAST4-KD human multiple myeloma (MM) cell lines 6 samples same disease briefing · shares multiple, myeloma
- GSE167042 Splicing modulation increases BCL2 dependence and sensitizes Multiple Myeloma cells to Venetoclax 4 samples same disease briefing · shares multiple, myeloma
- GSE178442 Genome-wide maps of transcription in DEAF1 overexpression(OE) and wildtype(WT) cells in Multiple Myeloma 4 samples same disease briefing · shares multiple, myeloma
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.