Chimeric Antigen Receptor-Macrophage Extracellular Vesicles Reprogram Immune Microenvironment for Cancer Therapy
RNA-seq (gene expression) · mouse · 10 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
- Mus musculus (mouse)
- Samples
- 10 samples: 5 × CAR-MEV treated vs 5 × PBS treatedGroups 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 GSE275346_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 PRJNA1150506 and SRA study SRP527736. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 10 samples.
How we read this: 2 replicated groups read from 10 sample titles; they account for 10 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.
- GSM8475247 CAR-MEV treated rep1 CAR-MEV treated
- GSM8475248 CAR-MEV treated rep2 CAR-MEV treated
- GSM8475249 CAR-MEV treated rep3 CAR-MEV treated
- GSM8475250 CAR-MEV treated rep4 CAR-MEV treated
- GSM8475251 CAR-MEV treated rep5 CAR-MEV treated
- GSM8475252 PBS treated rep1 PBS treated
- GSM8475253 PBS treated rep2 PBS treated
- GSM8475254 PBS treated rep3 PBS treated
- GSM8475255 PBS treated rep4 PBS treated
- GSM8475256 PBS treated rep5 PBS treated
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- GSE317949 Rational design of immune gene therapy combinations via in vivo CRISPR activation screening of tumor microenvironment modulators [APCM_BulkRNASeq_OT1] 15 samples shares microenvironment, therapy
- GSE304995 HIV-1 reprograms CD4 T cell responses by impairing antigen-specific communication with dendritic cells 8 samples shares reprogram, antigen
- GSE301501 Extracellular matrix reprogramming by the YAP/TAZ/TGF-ß2 axis drives immune exclusion in cholangiocarcinoma models 45 samples shares extracellular, reprogram
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.