Stromal and Endothelial Transcriptional Changes during Progression from MGUS to Myeloma and after Treatment Response [RNA-Seq]
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. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
- Organism
- Homo sapiens (human)
- Topic
- Multiple myelomaThis series is part of our curated briefing on it.
- Samples
- 25 samples: 10 × MM vs 8 × Control vs 5 × MGUSGroups 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
- Stromal and endothelial transcriptional changes during progression from MGUS to myeloma and after treatment responseNature communications · 2026
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 GSE305389_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 PRJNA1303025 and SRA study SRP607325. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 23 samples.
How we read this: 3 replicated groups read from 25 sample titles; they account for 23 of them. 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.
- GSM9170819 Control_4 Control
- GSM9170820 Control_6 Control
- GSM9170821 Control_7 Control
- GSM9170822 Control_15 Control
- GSM9170823 Control_2 Control
- GSM9170824 Control_3 Control
- GSM9170825 Control_8 Control
- GSM9170826 Control_18 Control
- GSM9170827 MGUS_4 MGUS
- GSM9170828 MGUS_5 MGUS
- GSM9170829 MGUS_10 MGUS
- GSM9170830 MGUS_8 MGUS
- GSM9170831 MGUS_9 MGUS
- GSM9170832 SMM_10
- GSM9170833 SMM_HR_1
- GSM9170834 MM_23 MM
- GSM9170835 MM_24 MM
- GSM9170836 MM_1 MM
- GSM9170837 MM_3 MM
- GSM9170838 MM_4 MM
- GSM9170839 MM_7 MM
- GSM9170840 MM_6 MM
- GSM9170841 MM_11 MM
- GSM9170842 MM_16 MM
- GSM9170843 MM_13 MM
- 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 treatment, myeloma, rna-seq
- GSE167968 RNA-seq of Multiple Myeloma 33 samples same disease briefing · shares myeloma, rna-seq
- GSE167969 ATAC-seq and RNA-Seq of Multiple Myeloma 46 samples same disease briefing · shares myeloma, rna-seq
- GSE148715 “Direct to Drug” screening as a precision medicine tool in multiple myeloma 38 samples same disease briefing · shares myeloma
- GSE179453 Expression data from control-knockdown (CTR-KD) and MAST4-KD human multiple myeloma (MM) cell lines 6 samples same disease briefing · shares myeloma
- GSE178442 Genome-wide maps of transcription in DEAF1 overexpression(OE) and wildtype(WT) cells in Multiple Myeloma 4 samples same disease briefing · shares myeloma
- GSE155631 Oncogenic mechanisms of DIS3 mutations in Multiple Myeloma 62 samples same disease briefing · shares myeloma
- GSE167042 Splicing modulation increases BCL2 dependence and sensitizes Multiple Myeloma cells to Venetoclax 4 samples same disease briefing · shares 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.