Poising and connectivity of emergent human developmental enhancers in the transition from naive to primed pluripotency - RNA-seq
RNA-seq (gene expression) · human · 9 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
- 9 samples: 3 × DMSO_Day5 vs 3 × UNC_Day5 vs 2 × PROTAC_Day5Groups 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
- Poising and connectivity of emergent human developmental enhancers in the transition from naive to primed pluripotencyCell reports · 2026
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 GSE309123_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 PRJNA1334002 and SRA study SRP626451. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 8 samples.
How we read this: 3 replicated groups read from 9 sample titles; they account for 8 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.
- GSM9261486 DMSO_Day5_Rep1 DMSO_Day5
- GSM9261487 DMSO_Day5_Rep2 DMSO_Day5
- GSM9261488 DMSO_Day5_Rep3 DMSO_Day5
- GSM9261489 PROTAC_Day5_Rep2 PROTAC_Day5
- GSM9261490 PROTAC_Day5_Rep3 PROTAC_Day5
- GSM9261491 PROTAC_Day_5_Rep_1
- GSM9261492 UNC_Day5_Rep1 UNC_Day5
- GSM9261493 UNC_Day5_Rep2 UNC_Day5
- GSM9261494 UNC_Day5_Rep3 UNC_Day5
- GSE309187 Poising and connectivity of emergent human developmental enhancers in the transition from naive to primed pluripotency 26 samples shares connectivity, pluripotency, transition, enhancers, emergent, poising, primed
- GSE274217 METTL3-dependent m6A RNA methylation represses transposable elements derived enhancers to suppress naïve pluripotency in human pluripotent stem cells [RNA-Seq] 28 samples shares pluripotency, enhancers, rna-seq
- GSE304126 CDK8 inhibition sequesters Med1 at EWS-FLI enhancers [RNA-Seq] 68 samples shares enhancers, rna-seq
- GSE283597 LINE-1 transposable elements regulate the exit of human pluripotency and early brain development [bulkRNA-seq] 45 samples shares pluripotency, rna-seq
- GSE292717 Super-enhancers-driven SOX4/SMAD3 enhances AXL signaling via membrane phospholipid remodeling to accelerate leukemia progression [RNA-Seq] 42 samples shares enhancers, rna-seq
- GSE301297 Functional redundancy between UTY and UTX in regulating the localization of transcription factors involved in pluripotency [RNA-seq] 40 samples shares pluripotency, rna-seq
- GSE301283 KLF5 controls subtype-independent highly interactive enhancers in pancreatic cancer to regulate cell survival [RNA-Seq] 36 samples shares enhancers, rna-seq
- GSE318595 Physiological perfusion of human vasculature reveals a YAP/TAZ-Apelin switch linking intraluminal flow to endothelial state transitions and vessel remodeling [Bulk RNA-seq] 31 samples shares transition, 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.