Rbm5 Sustains Leukemia Stem Cells Through a Myc-driven Transcriptional Circuitry
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 15 samples
- What it is
- ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
- Organism
- Homo sapiens (human)
- Samples
- 15 samples: 3 × R5KO_MA9 vs 3 × R5WT_MA9 vs 2 × WT vs 2 × KOGroups 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.
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 GSE303605_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.
Also filed as BioProject PRJNA1295909 and SRA study SRP595562. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 10 samples.
How we read this: 4 replicated groups read from 15 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.
- GSM9073698 R5KO_MA9_31 R5KO_MA9
- GSM9073699 R5KO_MA9_32 R5KO_MA9
- GSM9073700 R5KO_MA9_40 R5KO_MA9
- GSM9073701 R5WT_MA9_25 R5WT_MA9
- GSM9073702 R5WT_MA9_27 R5WT_MA9
- GSM9073703 R5WT_MA9_29 R5WT_MA9
- GSM9075651 WT214 WT
- GSM9075652 KO222 KO
- GSM9075653 WT WT
- GSM9075654 KO KO
- GSM9215373 SMF101_input-3369882_SMF101
- GSM9215374 m5-Ph-IAA_R1-3369883_SMF102
- GSM9215375 m5-Ph-IAA_R2-3369884_SMF103
- GSM9215376 p5-Ph-IAA_R1-3369888_SMF107
- GSM9215377 p5-Ph-IAA_R2-3369887_SMF106
- GSE292300 A core transcriptional regulatory circuitry controls super-enhancer-driven activation of LGR5 in colorectal cancer: ChIP-seq 76 samples shares circuitry
- GSE292302 A core transcriptional regulatory circuitry controls super-enhancer-driven activation of LGR5 in colorectal cancer: RNA-seq 42 samples shares circuitry
- GSE286473 FOXP3 Expression Depends on Cell-Type Specific Cis-Regulatory Element and Transcription Factor Circuitry 95 samples shares circuitry
- GSE224643 RNA sequestration in P-bodies sustains myeloid leukaemia 14 samples shares sustains
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.