CTCF/cohesin organize the ground state of chromatin-nuclear speckle association [hela rad21-aid RNA-seq]
RNA-seq (gene expression) · human · 12 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
- 12 samples: 3 × RAD21wt_NT vs 3 × RAD21wt_hs vs 3 × 15D_NT vs 3 × 15D_hsGroups 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
- CTCF/RAD21 organize the ground state of chromatin-nuclear speckle associationNature structural & molecular biology · 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 GSE273618_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 PRJNA1142511 and SRA study SRP523441. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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.
- GSM8433959 RAD21wt_NT1 RAD21wt_NT
- GSM8433960 RAD21wt_NT2 RAD21wt_NT
- GSM8433961 RAD21wt_NT3 RAD21wt_NT
- GSM8433962 RAD21wt_hs1 RAD21wt_hs
- GSM8433963 RAD21wt_hs2 RAD21wt_hs
- GSM8433964 RAD21wt_hs3 RAD21wt_hs
- GSM8433965 15D_NT1 15D_NT
- GSM8433966 15D_NT2 15D_NT
- GSM8433967 15D_NT3 15D_NT
- GSM8433968 15D_hs1 15D_hs
- GSM8433969 15D_hs2 15D_hs
- GSM8433970 15D_hs3 15D_hs
- GSE248102 CTCF/cohesin organize the ground state of chromatin-nuclear speckle association [RNA-Seq] 59 samples shares ctcf, chromatin-nuclear, organize, cohesin, speckle, rna-seq, ground
- GSE268622 CTCF/cohesin organize the ground state of chromatin-nuclear speckle association [CUT&RUN, CUT&Tag and RNA-seq] 24 samples shares ctcf, chromatin-nuclear, organize, cohesin, speckle, rna-seq, ground
- GSE248043 CTCF/cohesin organize the ground state of chromatin-nuclear speckle association [CUT&RUN] 40 samples shares ctcf, chromatin-nuclear, organize, cohesin, speckle, ground
- GSE248103 CTCF/RAD21 organize the ground state of chromatin-nuclear speckle association 135 samples shares ctcf, chromatin-nuclear, organize, speckle, ground
- GSE217759 DNA methylation insulates exons from CTCF loops with nuclear speckles (RNA-Seq) 30 samples shares ctcf, speckle, rna-seq
- GSE269856 Senescent cells cluster CTCF on nuclear speckles to sustain their splicing program [RNA-seq] 14 samples shares ctcf, speckle, rna-seq
- GSE275659 B-Type Lamins organize 3D chromatin architecture through associations with nuclear lamina and nuclear speckles [RNA-seq] 6 samples shares organize, speckle, rna-seq
- GSE281733 CTCF is selectively required for maintaining chromatin accessibility and gene expression in human erythropoiesis [RNA-seq] 18 samples shares ctcf, 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.