Long noncoding RNA GATA2AS regulates human erythroid differentiation by controlling erythroid transcription factors binding and regulatory landscape
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 57 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
- 57 samples: 25 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
- Long noncoding RNA GATA2AS influences human erythropoiesis by transcription factor and chromatin landscape modulationBlood · 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 GSE213779_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 PRJNA882432 and SRA study SRP398246. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 50 samples.
How we read this: 25 replicated groups read from 57 sample titles; they account for 50 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.
- GSM6594184 GATA2AS_ChIRP_Input
- GSM6594185 GATA2AS_ChIRP_odd
- GSM6594186 GATA2AS_ChIRP_even
- GSM6594187 koctrl_d0_RNAseq_r1 koctrl_d0_RNAseq
- GSM6594188 koctrl_d0_RNAseq_r2 koctrl_d0_RNAseq
- GSM6594189 kogata2as_d0_RNAseq_r1 kogata2as_d0_RNAseq
- GSM6594190 kogata2as_d0_RNAseq_r2 kogata2as_d0_RNAseq
- GSM6594191 koctrl_d4_RNAseq_r1 koctrl_d4_RNAseq
- GSM6594192 koctrl_d4_RNAseq_r2 koctrl_d4_RNAseq
- GSM6594193 kogata2as_d4_RNAseq_r1 kogata2as_d4_RNAseq
- GSM6594194 kogata2as_d4_RNAseq_r2 kogata2as_d4_RNAseq
- GSM6594195 koctrl_d7_RNAseq_r1 koctrl_d7_RNAseq
- GSM6594196 koctrl_d7_RNAseq_r2 koctrl_d7_RNAseq
- GSM6594197 kogata2as_d7_RNAseq_r1 kogata2as_d7_RNAseq
- GSM6594198 kogata2as_d7_RNAseq_r2 kogata2as_d7_RNAseq
- GSM6594199 koctrl_d9_RNAseq_r1 koctrl_d9_RNAseq
- GSM6594200 koctrl_d9_RNAseq_r2 koctrl_d9_RNAseq
- GSM6594201 kogata2as_d9_RNAseq_r1 kogata2as_d9_RNAseq
- GSM6594202 kogata2as_d9_RNAseq_r2 kogata2as_d9_RNAseq
- GSM6594203 koctrl_LRF_H3K27ac_ChIPseq_Input
- GSM6594204 koctrl_LRF_ChIPseq_r1 koctrl_LRF_ChIPseq
- GSM6594205 koctrl_LRF_ChIPseq_r2 koctrl_LRF_ChIPseq
- GSM6594206 kogata2as_LRF_H3K27ac_ChIPseq_Input
- GSM6594207 kogata2as_LRF_ChIPseq_r1 kogata2as_LRF_ChIPseq
- GSM6594208 kogata2as_LRF_ChIPseq_r2 kogata2as_LRF_ChIPseq
- GSM6594209 koctrl_KLF1_ChIPseq_Input
- GSM6594210 koctrl_KLF1_ChIPseq_r1 koctrl_KLF1_ChIPseq
- GSM6594211 koctrl_KLF1_ChIPseq_r2 koctrl_KLF1_ChIPseq
- GSM6594212 kogata2as_KLF1_ChIPseq_Input
- GSM6594213 kogata2as_KLF1_ChIPseq_r1 kogata2as_KLF1_ChIPseq
- GSM6594214 kogata2as_KLF1_ChIPseq_r2 kogata2as_KLF1_ChIPseq
- GSM6594215 koctrl_H3K27ac_ChIPseq_r1 koctrl_H3K27ac_ChIPseq
- GSM6594216 koctrl_H3K27ac_ChIPseq_r2 koctrl_H3K27ac_ChIPseq
- GSM6594217 kogata2as_H3K27ac_ChIPseq_r1 kogata2as_H3K27ac_ChIPs…
- GSM6594218 kogata2as_H3K27ac_ChIPseq_r2 kogata2as_H3K27ac_ChIPs…
- GSM6594219 koctrl_ATACseq_r1 koctrl_ATACseq
- GSM6594220 koctrl_ATACseq_r2 koctrl_ATACseq
- GSM6594221 kogata2as_ATACseq_r1 kogata2as_ATACseq
- GSM6594222 kogata2as_ATACseq_r2 kogata2as_ATACseq
- GSM7947136 shControl_day6_1 shControl_day6
+ 17 more — browse all 57 samples with per-sample file links →
- GSE302930 Epigenetic Atlas of Bladder Cancer Reveals Master Transcription Factors and Risk-Associated Regulatory Elements in Luminal and Basal-Squamous Molecular Subtypes 92 samples shares transcription, regulatory, factors
- GSE301298 Functional redundancy between UTY and UTX in regulating the localization of transcription factors involved in pluripotency 88 samples shares transcription, factors
- GSE275721 Lineage master regulator and cancer-selective partner transcription factors rewire 3D genome topology for tumor-specific gene control 72 samples shares transcription, factors
- GSE293334 Allelic topological centering by transcription factors drives oncogenic multi-enhancer transcriptional regulation [ChIP-seq] 60 samples shares transcription, factors
- GSE327101 Single-Cell Multimodal Atlas Reveals Regulatory Programs in the Human Brain 220 samples shares regulatory
- GSE273326 A trimeric USP11-USP7-TCEAL1 complex stabilizes paused RNAPII to sustain oncogenic transcription 63 samples shares transcription
- GSE279688 The role of LEDGF in transcription is exploited by HIV-1 to position integration 56 samples shares transcription
- GSE272082 Single-nucleus multiomics reveals the regulatory programs in three brain regions of sporadic early-onset Alzheimer's Disease 42 samples shares regulatory
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.