Anti-B-cell maturation antigen (BCMA) chimeric antigen receptor (CAR) T-cell therapy bb21217 for relapsed and refractory multiple myeloma: results from the phase 1 CRB-402 study
RNA-seq (gene expression) · human · 75 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
- 75 samples: 75 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.
Read the full summary ↓
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 GSE289406_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 PRJNA1222865 and SRA study SRP563467. 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 75 sample titles: 75 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.
- GSM8790482 patient_I7__bb21217 CAR T cells__DoseCohort_150x10^6 cells
- GSM8790483 patient_E1__bb21217 CAR T cells__DoseCohort_150x10^6 cells
- GSM8790484 patient_G4__bb21217 CAR T cells__DoseCohort_300x10^6 cells
- GSM8790485 patient_F4__bb21217 CAR T cells__DoseCohort_300x10^6 cells
- GSM8790486 patient_X5__bb21217 CAR T cells__DoseCohort_450x10^6 cells
- GSM8790487 patient_S4__bb21217 CAR T cells__DoseCohort_450x10^6 cells
- GSM8790488 patient_D6__bb21217 CAR T cells__DoseCohort_450x10^6 cells
- GSM8790489 patient_M1__bb21217 CAR T cells__DoseCohort_450x10^6 cells
- GSM8790490 patient_J2__bb21217 CAR T cells__DoseCohort_150x10^6 cells
- GSM8790491 patient_U4__bb21217 CAR T cells__DoseCohort_300x10^6 cells
- GSM8790492 patient_O9__bb21217 CAR T cells__DoseCohort_450x10^6 cells
- GSM8790493 patient_A3__bb21217 CAR T cells__DoseCohort_450x10^6 cells
- GSM8790494 patient_T8__bb21217 CAR T cells__DoseCohort_450x10^6 cells
- GSM8790495 patient_H4__bb21217 CAR T cells__DoseCohort_450x10^6 cells
- GSM8790496 patient_Z3__bb21217 CAR T cells__DoseCohort_450x10^6 cells
- GSM8790497 patient_E7__bb21217 CAR T cells__DoseCohort_450x10^6 cells
- GSM8790498 patient_M6__bb21217 CAR T cells__DoseCohort_150x10^6 cells
- GSM8790499 patient_K6__bb21217 CAR T cells__DoseCohort_150x10^6 cells
- GSM8790500 patient_S6__bb21217 CAR T cells__DoseCohort_150x10^6 cells
- GSM8790501 patient_G2__bb21217 CAR T cells__DoseCohort_300x10^6 cells
- GSM8790502 patient_J3__bb21217 CAR T cells__DoseCohort_300x10^6 cells
- GSM8790503 patient_F9__bb21217 CAR T cells__DoseCohort_450x10^6 cells
- GSM8790504 patient_Z1__bb21217 CAR T cells__DoseCohort_450x10^6 cells
- GSM8790505 patient_A6__bb21217 CAR T cells__DoseCohort_450x10^6 cells
- GSM8790506 patient_E4__bb21217 CAR T cells__DoseCohort_450x10^6 cells
- GSM8790507 patient_A4__bb21217 CAR T cells__DoseCohort_150x10^6 cells
- GSM8790508 patient_P0__bb21217 CAR T cells__DoseCohort_450x10^6 cells
- GSM8790509 patient_X1__bb21217 CAR T cells__DoseCohort_450x10^6 cells
- GSM8790510 patient_G7__bb21217 CAR T cells__DoseCohort_450x10^6 cells
- GSM8790511 patient_B2__bb21217 CAR T cells__DoseCohort_450x10^6 cells
- GSM8790512 patient_H7__bb21217 CAR T cells__DoseCohort_450x10^6 cells
- GSM8790513 patient_U6__bb21217 CAR T cells__DoseCohort_450x10^6 cells
- GSM8790514 patient_J9__bb21217 CAR T cells__DoseCohort_450x10^6 cells
- GSM8790515 patient_X8__bb21217 CAR T cells__DoseCohort_450x10^6 cells
- GSM8790516 patient_E0__bb21217 CAR T cells__DoseCohort_450x10^6 cells
- GSM8790517 patient_K3__bb21217 CAR T cells__DoseCohort_450x10^6 cells
- GSM8790518 patient_N7__bb21217 CAR T cells__DoseCohort_450x10^6 cells
- GSM8790519 patient_K2__bb21217 CAR T cells__DoseCohort_450x10^6 cells
- GSM8790520 patient_J8__bb21217 CAR T cells__DoseCohort_450x10^6 cells
- GSM8790521 patient_H1__bb21217 CAR T cells__DoseCohort_450x10^6 cells
+ 35 more — browse all 75 samples with per-sample file links →
- 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 refractory
- GSE148715 “Direct to Drug” screening as a precision medicine tool in multiple myeloma 38 samples same disease briefing
- GSE167968 RNA-seq of Multiple Myeloma 33 samples same disease briefing
- GSE179453 Expression data from control-knockdown (CTR-KD) and MAST4-KD human multiple myeloma (MM) cell lines 6 samples same disease briefing
- GSE178442 Genome-wide maps of transcription in DEAF1 overexpression(OE) and wildtype(WT) cells in Multiple Myeloma 4 samples same disease briefing
- GSE155631 Oncogenic mechanisms of DIS3 mutations in Multiple Myeloma 62 samples same disease briefing
- GSE167969 ATAC-seq and RNA-Seq of Multiple Myeloma 46 samples same disease briefing
- GSE167042 Splicing modulation increases BCL2 dependence and sensitizes Multiple Myeloma cells to Venetoclax 4 samples same disease briefing
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.