RNA-seq analysis after dTAG-mediated MYB depletion in Jurkat cells
RNA-seq (gene expression) · human · 36 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
- 36 samples: 18 conditions, mostly in duplicateGroups 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
- Transcriptional regulatory program controlled by MYB in T-cell acute lymphoblastic leukemiaLeukemia · 2024
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 GSE267370_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 PRJNA1111352 and SRA study SRP507491. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 36 samples.
How we read this: 18 replicated groups read from 36 sample titles; they account for 36 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.
- GSM8264842 Jurkat 01h DMSO rep1 Jurkat 01h DMSO
- GSM8264843 Jurkat 01h DMSO rep2 Jurkat 01h DMSO
- GSM8264844 Jurkat 01h dTAG rep1 Jurkat 01h dTAG
- GSM8264845 Jurkat 01h dTAG rep2 Jurkat 01h dTAG
- GSM8264846 Jurkat 02h DMSO rep1 Jurkat 02h DMSO
- GSM8264847 Jurkat 02h DMSO rep2 Jurkat 02h DMSO
- GSM8264848 Jurkat 02h dTAG rep1 Jurkat 02h dTAG
- GSM8264849 Jurkat 02h dTAG rep2 Jurkat 02h dTAG
- GSM8264850 Jurkat 04h DMSO rep1 Jurkat 04h DMSO
- GSM8264851 Jurkat 04h DMSO rep2 Jurkat 04h DMSO
- GSM8264852 Jurkat 04h dTAG rep1 Jurkat 04h dTAG
- GSM8264853 Jurkat 04h dTAG rep2 Jurkat 04h dTAG
- GSM8264854 Jurkat 06h DMSO rep1 Jurkat 06h DMSO
- GSM8264855 Jurkat 06h DMSO rep2 Jurkat 06h DMSO
- GSM8264856 Jurkat 06h dTAG rep1 Jurkat 06h dTAG
- GSM8264857 Jurkat 06h dTAG rep2 Jurkat 06h dTAG
- GSM8264858 Jurkat 08h DMSO rep1 Jurkat 08h DMSO
- GSM8264859 Jurkat 08h DMSO rep2 Jurkat 08h DMSO
- GSM8264860 Jurkat 08h dTAG rep1 Jurkat 08h dTAG
- GSM8264861 Jurkat 08h dTAG rep2 Jurkat 08h dTAG
- GSM8264862 Jurkat 16h DMSO rep1 Jurkat 16h DMSO
- GSM8264863 Jurkat 16h DMSO rep2 Jurkat 16h DMSO
- GSM8264864 Jurkat 16h dTAG rep1 Jurkat 16h dTAG
- GSM8264865 Jurkat 16h dTAG rep2 Jurkat 16h dTAG
- GSM8264866 Jurkat 24h DMSO rep1 Jurkat 24h DMSO
- GSM8264867 Jurkat 24h DMSO rep2 Jurkat 24h DMSO
- GSM8264868 Jurkat 24h dTAG rep1 Jurkat 24h dTAG
- GSM8264869 Jurkat 24h dTAG rep2 Jurkat 24h dTAG
- GSM8264870 Jurkat 48h DMSO rep1 Jurkat 48h DMSO
- GSM8264871 Jurkat 48h DMSO rep2 Jurkat 48h DMSO
- GSM8264872 Jurkat 48h dTAG rep1 Jurkat 48h dTAG
- GSM8264873 Jurkat 48h dTAG rep2 Jurkat 48h dTAG
- GSM8264874 Jurkat 96h DMSO rep1 Jurkat 96h DMSO
- GSM8264875 Jurkat 96h DMSO rep2 Jurkat 96h DMSO
- GSM8264876 Jurkat 96h dTAG rep1 Jurkat 96h dTAG
- GSM8264877 Jurkat 96h dTAG rep2 Jurkat 96h dTAG
- GSE274275 Effect of depletion of NSUN4 on gene expression of NCI-H226 cells [RNA-seq] 6 samples shares depletion, rna-seq
- GSE227974 MY-COMP, an inhibitor of the transcriptional activity of YAP-B-MYB, identifies NEK2 as a novel mediator of YAP oncogenesis in uveal melanoma cells 29 samples shares myb
- GSE309595 Longitudinal Analysis of Multiple Myeloma: Therapeutic Response and Immune Microenvironment Dynamics in the Context of Tumor Heterogeneity [scRNA-seq] 270 samples shares rna-seq
- GSE308103 Single-nucleus RNA-sequencing (snRNA-seq) analysis of normal lung tissues, precursor lung lesions and invasive lung adenocarcinomas 75 samples shares rna-seq
- GSE292858 RNA-Seq analysis of tumor and matched normal samples from colorectal cancer patients. 73 samples shares rna-seq
- GSE222556 Neoadjuvant PARPi or Chemotherapy in Ovarian Cancer Informs Targeting Effector Treg Cells for Homologous-Recombination-Deficient Tumors [10x scRNA-seq] 67 samples shares rna-seq
- GSE282444 Epigenetic Memory of Intestinal Epithelial Cells in Inflammatory Bowel Disease [RNA-seq] 56 samples shares rna-seq
- GSE319641 RNA-Seq profiling of pre- and on-treatment tumor samples from breast cancer patients enrolled in the NeoTRIP trial. 401 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.