Patient tumor bulk RNA-seq analysis of the pre-axi-cel treatment tumor microenvironment in large B cell lymphoma
RNA-seq (gene expression) · human · 19 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)
- Samples
- 19 samples: 11 × EXP1365RNA vs 8 × EXP1132RNAGroups 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 GSE338087_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 PRJNA1492481 and SRA study SRP716573. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 19 samples.
How we read this: 2 replicated groups read from 19 sample titles; they account for 19 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.
- GSM9866359 EXP1132RNA2 EXP1132RNA
- GSM9866360 EXP1132RNA3 EXP1132RNA
- GSM9866361 EXP1132RNA4 EXP1132RNA
- GSM9866362 EXP1132RNA8 EXP1132RNA
- GSM9866363 EXP1132RNA9 EXP1132RNA
- GSM9866364 EXP1132RNA11 EXP1132RNA
- GSM9866365 EXP1132RNA16 EXP1132RNA
- GSM9866366 EXP1132RNA17 EXP1132RNA
- GSM9866367 EXP1365RNA6 EXP1365RNA
- GSM9866368 EXP1365RNA10 EXP1365RNA
- GSM9866369 EXP1365RNA14 EXP1365RNA
- GSM9866370 EXP1365RNA18 EXP1365RNA
- GSM9866371 EXP1365RNA16 EXP1365RNA
- GSM9866372 EXP1365RNA3 EXP1365RNA
- GSM9866373 EXP1365RNA20 EXP1365RNA
- GSM9866374 EXP1365RNA22 EXP1365RNA
- GSM9866375 EXP1365RNA24 EXP1365RNA
- GSM9866379 EXP1365RNA29 EXP1365RNA
- GSM9866383 EXP1365RNA46 EXP1365RNA
- GSE297038 Chemoradiation Reprograms Tumor Cells and Immune Microenvironment In Cervical Cancer [bulk RNA-seq] 34 samples shares microenvironment, rna-seq, bulk
- GSE277575 Large B-cell lymphoma imprints a dysfunctional immune phenotype that persists years after treatment 62 samples shares treatment, lymphoma, large
- GSE267097 Pre-Treatment peripheral Immune composition can accurately predict CAR-T outcomes in patients with Large B-Cell Lymphoma 49 samples shares treatment, lymphoma, large
- GSE319641 RNA-Seq profiling of pre- and on-treatment tumor samples from breast cancer patients enrolled in the NeoTRIP trial. 401 samples shares treatment, rna-seq
- GSE309595 Longitudinal Analysis of Multiple Myeloma: Therapeutic Response and Immune Microenvironment Dynamics in the Context of Tumor Heterogeneity [scRNA-seq] 270 samples shares microenvironment, rna-seq
- GSE297041 Chemoradiation Reprograms Tumor Cells and Immune Microenvironment In Cervical Cancer [scRNA-seq] 18 samples shares microenvironment, rna-seq
- GSE291124 snRNA-seq dataset of 17 treatment-naive human PDAC patient-derived tumors 17 samples shares treatment, rna-seq
- GSE290925 Single-Cell Transcriptomic Profiling of the Tumor Microenvironment in Treatment-Naive Hepatocellular Carcinoma Patients 12 samples shares microenvironment, treatment
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.