High-avidity Cathepsin G specific CAR-T cells for the treatment of Acute Myeloid Leukemia
RNA-seq (gene expression) · human · 24 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
- Acute myeloid leukemiaThis series is part of our curated briefing on it.
- Samples
- 24 samples: 8 conditions, mostly in triplicateGroups 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 GSE300381_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 PRJNA1280174. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 24 samples.
How we read this: 8 replicated groups read from 24 sample titles; they account for 24 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.
- GSM9059359 CG1.CAR cells, Donor 2, day 0 CG1.CAR cells, Donor 2,…
- GSM9059360 CG1.ZZ.CAR.LCK, Donor 2, day 0 CG1.ZZ.CAR.LCK, Donor 2…
- GSM9059361 CG1.CAR cells, Donor 1, day 0 CG1.CAR cells, Donor 1,…
- GSM9059362 CG1.ZZ.CAR.LCK, Donor 1, day 0 CG1.ZZ.CAR.LCK, Donor 1…
- GSM9059363 CG1.CAR cells, Donor 2, day 1 CG1.CAR cells, Donor 2,…
- GSM9059364 CG1.ZZ.CAR.LCK, Donor 2, day 1 CG1.ZZ.CAR.LCK, Donor 2…
- GSM9059365 CG1.CAR cells, Donor 1, day 1 CG1.CAR cells, Donor 1,…
- GSM9059366 CG1.ZZ.CAR.LCK, Donor 1, day 1 CG1.ZZ.CAR.LCK, Donor 1…
- GSM9059367 CG1.CAR cells, Donor 2, day 5 CG1.CAR cells, Donor 2,…
- GSM9059368 CG1.ZZ.CAR.LCK, Donor 2, day 5 CG1.ZZ.CAR.LCK, Donor 2…
- GSM9059369 CG1.CAR cells, Donor 1, day 5 CG1.CAR cells, Donor 1,…
- GSM9059370 CG1.ZZ.CAR.LCK, Donor 1, day 5 CG1.ZZ.CAR.LCK, Donor 1…
- GSM9059371 CG1.CAR cells, Donor 3, day 1 CG1.CAR cells, Donor 3,…
- GSM9059372 CG1.CAR cells, Donor 4, day 1 CG1.CAR cells, Donor 4,…
- GSM9059373 CG1.CAR cells, Donor 3, day 5 CG1.CAR cells, Donor 3,…
- GSM9059374 CG1.CAR cells, Donor 4, day 5 CG1.CAR cells, Donor 4,…
- GSM9059375 CG1.CAR cells, Donor 3, day 0 CG1.CAR cells, Donor 3,…
- GSM9059376 CG1.CAR cells, Donor 4, day 0 CG1.CAR cells, Donor 4,…
- GSM9059377 CG1.ZZ.CAR.LCK cells, Donor 3, day 1 CG1.ZZ.CAR.LCK cells, D…
- GSM9059378 CG1.ZZ.CAR.LCK cells, Donor 4, day 1 CG1.ZZ.CAR.LCK cells, D…
- GSM9059379 CG1.ZZ.CAR.LCK cells, Donor 3, day 5 CG1.ZZ.CAR.LCK cells, D…
- GSM9059380 CG1.ZZ.CAR.LCK cells, Donor 4, day 5 CG1.ZZ.CAR.LCK cells, D…
- GSM9059381 CG1.ZZ.CAR.LCK cells, Donor 3, day 0 CG1.ZZ.CAR.LCK cells, D…
- GSM9059382 CG1.ZZ.CAR.LCK cells, Donor 4, day 0 CG1.ZZ.CAR.LCK cells, D…
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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.