Large B-cell lymphoma imprints a dysfunctional immune phenotype that persists years after treatment
RNA-seq (gene expression) · human · 62 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
- Diffuse large B-cell lymphomaThis series is part of our curated briefing on it.
- Samples
- 62 samples: 6 conditions, mostly with about 8 replicates eachGroups 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
- Large B-cell lymphoma imprints a dysfunctional immune phenotype that persists years after treatmentBlood · 2025
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 GSE277575_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 PRJNA1162855 and SRA study SRP533626. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 62 samples.
How we read this: 6 replicated groups read from 62 sample titles; they account for 62 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.
- GSM8524790 MDSCs, Active control, 1 MDSCs, Active control,
- GSM8524791 MDSCs, Active control, 2 MDSCs, Active control,
- GSM8524792 MDSCs, Active control, 3 MDSCs, Active control,
- GSM8524793 MDSCs, Active control, 4 MDSCs, Active control,
- GSM8524794 MDSCs, Active control, 5 MDSCs, Active control,
- GSM8524795 MDSCs, Active control, 6 MDSCs, Active control,
- GSM8524796 MDSCs, Active control, 7 MDSCs, Active control,
- GSM8524797 MDSCs, Active control, 8 MDSCs, Active control,
- GSM8524798 MDSCs, Case, 1 MDSCs, Case,
- GSM8524799 MDSCs, Case, 2 MDSCs, Case,
- GSM8524800 MDSCs, Case, 3 MDSCs, Case,
- GSM8524801 MDSCs, Case, 4 MDSCs, Case,
- GSM8524802 MDSCs, Case, 5 MDSCs, Case,
- GSM8524803 MDSCs, Case, 6 MDSCs, Case,
- GSM8524804 MDSCs, Case, 7 MDSCs, Case,
- GSM8524805 MDSCs, Case, 8 MDSCs, Case,
- GSM8524806 MDSCs, Case, 9 MDSCs, Case,
- GSM8524807 MDSCs, Case, 10 MDSCs, Case,
- GSM8524808 MDSCs, Case, 11 MDSCs, Case,
- GSM8524809 MDSCs, Case, 12 MDSCs, Case,
- GSM8524810 MDSCs, Case, 13 MDSCs, Case,
- GSM8524811 MDSCs, Case, 14 MDSCs, Case,
- GSM8524812 MDSCs, Case, 15 MDSCs, Case,
- GSM8524813 MDSCs, Healthy control, 1 MDSCs, Healthy control,
- GSM8524814 MDSCs, Healthy control, 2 MDSCs, Healthy control,
- GSM8524815 MDSCs, Healthy control, 3 MDSCs, Healthy control,
- GSM8524816 MDSCs, Healthy control, 4 MDSCs, Healthy control,
- GSM8524817 MDSCs, Healthy control, 5 MDSCs, Healthy control,
- GSM8524818 MDSCs, Healthy control, 6 MDSCs, Healthy control,
- GSM8524819 MDSCs, Healthy control, 7 MDSCs, Healthy control,
- GSM8524820 MDSCs, Healthy control, 8 MDSCs, Healthy control,
- GSM8524821 CD4+ DR+, Active control, 1 CD4+ DR+, Active contro…
- GSM8524822 CD4+ DR+, Active control, 2 CD4+ DR+, Active contro…
- GSM8524823 CD4+ DR+, Active control, 3 CD4+ DR+, Active contro…
- GSM8524824 CD4+ DR+, Active control, 4 CD4+ DR+, Active contro…
- GSM8524825 CD4+ DR+, Active control, 5 CD4+ DR+, Active contro…
- GSM8524826 CD4+ DR+, Active control, 6 CD4+ DR+, Active contro…
- GSM8524827 CD4+ DR+, Active control, 7 CD4+ DR+, Active contro…
- GSM8524828 CD4+ DR+, Active control, 8 CD4+ DR+, Active contro…
- GSM8524829 CD4+ DR+, Case, 1 CD4+ DR+, Case,
+ 22 more — browse all 62 samples with per-sample file links →
- GSE267097 Pre-Treatment peripheral Immune composition can accurately predict CAR-T outcomes in patients with Large B-Cell Lymphoma 49 samples same disease briefing · shares treatment, lymphoma, b-cell, large
- GSE252371 RNAseq sequencing signatures of Diffuse Large B-cell Lymphoma cells after beta-sitosterol treatment 6 samples same disease briefing · shares treatment, lymphoma, b-cell, large
- GSE262621 Gene expression profiling of HIV-associated diffuse large B-cell lymphomas from Malawi 70 samples same disease briefing · shares lymphoma, b-cell, large
- GSE213555 Molecular and pathological characterisation of diffuse large B-cell lymphomas in children with Nijmegen breakage syndrome 41 samples same disease briefing · shares lymphoma, b-cell, large
- GSE218750 TRAF3 loss-of-function Reveals the Non-Canonical NF-κB Pathway as a Therapeutic Target in Diffuse Large B-cell Lymphoma 24 samples same disease briefing · shares lymphoma, b-cell, large
- GSE287333 Myeloid-derived suppressor cells exhibit distinct characteristics in bone marrow and blood of individuals with diffuse large B-cell lymphoma 19 samples same disease briefing · shares lymphoma, b-cell, large
- GSE279610 Cell-cycle deregulation in diffuse large B-cell lymphoma promotes critical dependence on the cyclin-G associated kinase 18 samples same disease briefing · shares lymphoma, b-cell, large
- GSE283388 Gene Expression Profiling in Diffuse Large B-Cell Lymphoma (DLBCL) Cell Lines Treated with Selinexor 12 samples same disease briefing · shares lymphoma, b-cell, large
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.