The cis-regulatory logic integrating spatial and temporal patterning in the vertebrate neural tube
ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 184 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
- Mus musculus (mouse)
- Samples
- 184 samples: 43 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.
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 GSE264172_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 PRJNA1101103 and SRA study SRP502095. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 184 samples.
How we read this: 43 replicated groups read from 184 sample titles; they account for 184 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.
- GSM8212852 neural progenitors, mScarlet, rep 1 neural progenitors, mSc…
- GSM8212853 neural progenitors, mScarlet, rep 2 neural progenitors, mSc…
- GSM8212854 neural progenitors, mScarlet, rep 3 neural progenitors, mSc…
- GSM8212855 neural progenitors, Nr6a1OE, rep 1 neural progenitors, Nr6…
- GSM8212856 neural progenitors, Nr6a1OE, rep 2 neural progenitors, Nr6…
- GSM8212857 neural progenitors, Nr6a1OE, rep 3 neural progenitors, Nr6…
- GSM8213387 MUT_D11_p1_NFIAn_R2 MUT_D11_p1_NFIAn
- GSM8213388 MUT_D11_p1_NFIAn_R3 MUT_D11_p1_NFIAn
- GSM8213389 MUT_D11_p2_NFIAn_R2 MUT_D11_p2_NFIAn
- GSM8213390 MUT_D11_p2_NFIAn_R3 MUT_D11_p2_NFIAn
- GSM8213391 MUT_D11_pM_NFIAn_R2 MUT_D11_pM_NFIAn
- GSM8213392 MUT_D11_pM_NFIAn_R3 MUT_D11_pM_NFIAn
- GSM8213393 MUT_D5_p1_NFIAn_R1 MUT_D5_p1_NFIAn
- GSM8213394 MUT_D5_p1_NFIAn_R2 MUT_D5_p1_NFIAn
- GSM8213395 MUT_D5_p1_NFIAn_R3 MUT_D5_p1_NFIAn
- GSM8213396 MUT_D5_p2_NFIAn_R1 MUT_D5_p2_NFIAn
- GSM8213397 MUT_D5_p2_NFIAn_R2 MUT_D5_p2_NFIAn
- GSM8213398 MUT_D5_p2_NFIAn_R3 MUT_D5_p2_NFIAn
- GSM8213399 MUT_D5_pM_NFIAn_R1 MUT_D5_pM_NFIAn
- GSM8213400 MUT_D5_pM_NFIAn_R2 MUT_D5_pM_NFIAn
- GSM8213401 MUT_D5_pM_NFIAn_R3 MUT_D5_pM_NFIAn
- GSM8213402 MUT_D7_p1_NFIAn_R1 MUT_D7_p1_NFIAn
- GSM8213403 MUT_D7_p1_NFIAn_R2 MUT_D7_p1_NFIAn
- GSM8213404 MUT_D7_p1_NFIAn_R3 MUT_D7_p1_NFIAn
- GSM8213405 MUT_D7_p2_NFIAn_R1 MUT_D7_p2_NFIAn
- GSM8213406 MUT_D7_p2_NFIAn_R2 MUT_D7_p2_NFIAn
- GSM8213407 MUT_D7_p2_NFIAn_R3 MUT_D7_p2_NFIAn
- GSM8213408 MUT_D7_pM_NFIAn_R1 MUT_D7_pM_NFIAn
- GSM8213409 MUT_D7_pM_NFIAn_R2 MUT_D7_pM_NFIAn
- GSM8213410 MUT_D7_pM_NFIAn_R3 MUT_D7_pM_NFIAn
- GSM8213411 MUT_D9_p1_NFIAn_R1 MUT_D9_p1_NFIAn
- GSM8213412 MUT_D9_p1_NFIAn_R3 MUT_D9_p1_NFIAn
- GSM8213413 MUT_D9_p2_NFIAn_R3 MUT_D9_p2_NFIAn
- GSM8213414 MUT_D9_pM_NFIAn_R1 MUT_D9_pM_NFIAn
- GSM8213415 MUT_D9_pM_NFIAn_R3 MUT_D9_pM_NFIAn
- GSM8213416 WT_D11_p1_NFIAp_R2 WT_D11_p1_NFIAp
- GSM8213417 WT_D11_p1_NFIAp_R3 WT_D11_p1_NFIAp
- GSM8213418 WT_D11_p2_NFIAp_R2 WT_D11_p2_NFIAp
- GSM8213419 WT_D11_p2_NFIAp_R3 WT_D11_p2_NFIAp
- GSM8213420 WT_D11_pM_NFIAp_R2 WT_D11_pM_NFIAp
+ 144 more — browse all 184 samples with per-sample file links →
- GSE281033 A SOX2-VSX2 axis modulates a core cis-regulatory circuitry to safeguard retinal neural competence 18 samples shares cis-regulatory, neural
- GSE298893 Generation of cellular diversity through temporal patterning of radial glia during mouse corticogenesis 37 samples shares patterning, temporal
- GSE276209 Generation of cellular diversity through temporal patterning of radial glia during mouse corticogenesis I 33 samples shares patterning, temporal
- GSE204701 Neocortical temporal patterning by a two-layered regulatory structure 26 samples shares patterning, temporal
- GSE236450 SEAMoD: A fully interpretable neural network for cis-regulatory analysis of differentially expressed genes 24 samples shares cis-regulatory, neural
- GSE295688 Overexpression of Meis factors in late-stage retinal progenitors yields complex effects on temporal patterning and neurogenesis. 20 samples shares patterning, temporal
- GSE236449 SEAMoD: A fully interpretable neural network for cis-regulatory analysis of differentially expressed genes [ChIP-seq] 13 samples shares cis-regulatory, neural
- GSE236448 SEAMoD: A fully interpretable neural network for cis-regulatory analysis of differentially expressed genes [RNA-seq] 11 samples shares cis-regulatory, neural
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.