CAR-T-drug conjugate against solid tumor [RNA-seq/BCR-seq]
RNA-seq (gene expression) · human · 13 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
- 13 samples: 13 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 GSE335371_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 PRJNA1478018 and SRA study SRP709275. 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 13 sample titles: 13 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.
- GSM9812603 1-untr
- GSM9812604 2-untr
- GSM9812605 3-untr
- GSM9812606 4-24h
- GSM9812607 5-24h
- GSM9812608 6-24h
- GSM9812609 7-6h
- GSM9812610 8-6h
- GSM9812611 9-6h
- GSM9812612 10-su
- GSM9812613 11-su
- GSM9812614 12-su
- GSM9816103 CA9
- GSE233208 Single-nucleus RNA-Seq and spatial transcriptomics characterization of Alzheimer’s Disease and Down Syndrome 185 samples shares rna-seq
- GSE38495 Full-length mRNA-Seq from single-cell levels of RNA and individual circulating tumor cells 121 samples shares rna-seq
- GSE44183 Genetic Programs in Human and Mouse Early Embryos Revealed by Single-Cell RNA-Sequencing 47 samples shares rna-seq
- GSE281963 Opposing lineage specifiers induce a pro-tumor hybrid-identity state in lung adenocarcinoma [RNA-seq] 34 samples shares rna-seq
- GSE310025 Intrinsic RB activation induces tumoral and stromal anti-tumor responses that limit triple-negative breast cancer [RNA-Seq] 28 samples shares rna-seq
- GSE268496 A Simplified Preparation Method for Single-Nucleus RNA-Sequencing Using Long-Term Frozen Brain Tumor Tissues 15 samples shares rna-seq
- GSE76381 Single Cell RNA-seq Study of Midbrain and Dopaminergic Neuron Development in Mouse, Human, and Stem Cells 6179 samples shares rna-seq
- GSE325753 Targeting EHMT2 Enhances NK Cell Maturation and Antitumor Activity [RNA-Seq] 12 samples shares rna-seq
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.