TBP bookmarks and preserves neural stem cell fate memory by orchestrating local chromatin architecture (CUT&Tag)
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 32 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
- 32 samples: 9 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
- TBP bookmarks and preserves neural stem cell fate memory by orchestrating local chromatin architectureMolecular cell · 2025
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 GSE267892_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 PRJNA1113604 and SRA study SRP508735. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 21 samples.
How we read this: 9 replicated groups read from 32 sample titles; they account for 21 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.
- GSM8281207 TBP_NSC_CUTandTag
- GSM8281208 IgG_NSC_CUTandTag
- GSM8281209 TBP_TBPIR_NSC_CUTandTag
- GSM8281210 TBP_TBPIR control_NSC_CUTandTag
- GSM8281211 ELL-Myc_NSC_CUTandTag rep1 ELL-Myc_NSC_CUTandTag
- GSM8281212 ELL-Myc_NSC_CUTandTag rep2 ELL-Myc_NSC_CUTandTag
- GSM8281213 Myc_control_NSC_CUTandTag rep1 Myc_control_NSC_CUTandT…
- GSM8281214 Myc_control_NSC_CUTandTag rep2 Myc_control_NSC_CUTandT…
- GSM8281215 MycdEP400_TBPIR control_NSC_CUTandTag rep1 MycdEP400_TBPIR control…
- GSM8281216 MycdEP400_TBPIR_NSC_CUTandTag rep1 MycdEP400_TBPIR_NSC_CUT…
- GSM8281217 MycdEP400_TBPIR control_NSC_CUTandTag rep2 MycdEP400_TBPIR control…
- GSM8281218 MycdEP400_TBPIR_NSC_CUTandTag rep2 MycdEP400_TBPIR_NSC_CUT…
- GSM8281219 TBP_dEP400IR_NSC_CUTandTag
- GSM8281220 TBP_dEP400IR control_NSC_CUTandTag
- GSM8281221 H2A.Z_NSC_CUTandTag rep1 H2A.Z_NSC_CUTandTag
- GSM8281222 H2A.Z_NSC_CUTandTag rep2 H2A.Z_NSC_CUTandTag
- GSM8281223 H2A.Z_NSC_CUTandTag rep3 H2A.Z_NSC_CUTandTag
- GSM8281224 TBP_interphase_NSC_CUTandTag rep1 TBP_interphase_NSC_CUTa…
- GSM8281225 TBP_interphase_NSC_CUTandTag rep2 TBP_interphase_NSC_CUTa…
- GSM8281226 TBP_interphase_NSC_CUTandTag rep3 TBP_interphase_NSC_CUTa…
- GSM8281227 TBP_mitosis_NSC_CUTandTag rep1 TBP_mitosis_NSC_CUTandT…
- GSM8281228 TBP_mitosis_NSC_CUTandTag rep2 TBP_mitosis_NSC_CUTandT…
- GSM8281229 TBP_mitosis_NSC_CUTandTag rep3 TBP_mitosis_NSC_CUTandT…
- GSM8281230 IgG_interphase_NSC_CUTandTag
- GSM8281231 IgG_mitosis_NSC_CUTandTag
- GSM8281232 hH2A.Z_HEK_CUTandTag rep1 hH2A.Z_HEK_CUTandTag
- GSM8281233 hH2A.Z_HEK_CUTandTag rep2 hH2A.Z_HEK_CUTandTag
- GSM8281234 hTBP_asy_HEK_CUTandTag
- GSM8281235 hTBP_mitosis_HEK_CUTandTag rep1 hTBP_mitosis_HEK_CUTand…
- GSM8281236 hTBP_mitosis_HEK_CUTandTag rep2 hTBP_mitosis_HEK_CUTand…
- GSM8281237 IgG_asy_HEK_CUTandTag
- GSM8281238 IgG_mitosis_HEK_CUTandTag
No close match found for this topic, so these are simply the most-viewed datasets of the same kind.
- GSE31332 Genomic maps of lincRNA occupancy reveal principles of RNA-chromatin interactions. 14 samples
- GSE296812 Histone modification clocks for robust cross-species biological age prediction and elucidating senescence regulation 46 samples
- GSE223117 Conserved intronic secondary structures with concealed branch sites regulate alternative splicing of poison exons 29 samples
- GSE40739 Genome-wide quantitative enhancer activity maps identified by STARR-seq 18 samples
- GSE284058 Histone H4 lysine 20 monomethylation is not a mark of transcriptional silencers 16 samples
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.