A human-specific regulatory mechanism revealed in a preimplantation model [RNA-seq]
RNA-seq (gene expression) · human · 49 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
- 49 samples: 15 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.
- Paper
- A human-specific regulatory mechanism revealed in a pre-implantation modelNature · 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 GSE296554_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 PRJNA1259977 and SRA study SRP583634. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 49 samples.
How we read this: 15 replicated groups read from 49 sample titles; they account for 49 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.
- GSM8972544 LTR5Hs_CARGO_high_c1_R1 LTR5Hs_CARGO_high_c1
- GSM8972545 LTR5Hs_CARGO_high_c1_R2 LTR5Hs_CARGO_high_c1
- GSM8972546 LTR5Hs_CARGO_high_c1_R3 LTR5Hs_CARGO_high_c1
- GSM8972547 LTR5Hs_CARGO_high_c2_R1 LTR5Hs_CARGO_high_c2
- GSM8972548 LTR5Hs_CARGO_high_c2_R2 LTR5Hs_CARGO_high_c2
- GSM8972549 LTR5Hs_CARGO_high_c2_R3 LTR5Hs_CARGO_high_c2
- GSM8972550 LTR5Hs_CARGO_high_c3_R1 LTR5Hs_CARGO_high_c3
- GSM8972551 LTR5Hs_CARGO_high_c3_R2 LTR5Hs_CARGO_high_c3
- GSM8972552 LTR5Hs_CARGO_high_c3_R3 LTR5Hs_CARGO_high_c3
- GSM8972553 LTR5Hs_CARGO_high_c4_R1 LTR5Hs_CARGO_high_c4
- GSM8972554 LTR5Hs_CARGO_high_c4_R2 LTR5Hs_CARGO_high_c4
- GSM8972555 LTR5Hs_CARGO_high_c4_R3 LTR5Hs_CARGO_high_c4
- GSM8972556 LTR5Hs_CARGO_medium_c1_R1 LTR5Hs_CARGO_medium_c1
- GSM8972557 LTR5Hs_CARGO_medium_c1_R2 LTR5Hs_CARGO_medium_c1
- GSM8972558 LTR5Hs_CARGO_medium_c2_R1 LTR5Hs_CARGO_medium_c2
- GSM8972559 LTR5Hs_CARGO_medium_c2_R2 LTR5Hs_CARGO_medium_c2
- GSM8972560 LTR5Hs_CARGO_medium_c2_R3 LTR5Hs_CARGO_medium_c2
- GSM8972561 LTR5Hs_CARGO_medium_c3_R1 LTR5Hs_CARGO_medium_c3
- GSM8972562 LTR5Hs_CARGO_medium_c3_R2 LTR5Hs_CARGO_medium_c3
- GSM8972563 LTR5Hs_CARGO_medium_c3_R3 LTR5Hs_CARGO_medium_c3
- GSM8972564 LTR5Hs_CARGO_medium_c4_R1 LTR5Hs_CARGO_medium_c4
- GSM8972565 LTR5Hs_CARGO_medium_c4_R2 LTR5Hs_CARGO_medium_c4
- GSM8972566 LTR5Hs_CARGO_medium_c4_R3 LTR5Hs_CARGO_medium_c4
- GSM8972567 LTR5Hs_CARGO_medium_c5_R1 LTR5Hs_CARGO_medium_c5
- GSM8972568 LTR5Hs_CARGO_medium_c5_R2 LTR5Hs_CARGO_medium_c5
- GSM8972569 LTR5Hs_CARGO_medium_c5_R3 LTR5Hs_CARGO_medium_c5
- GSM8972570 nontarg_CARGO_R1 nontarg_CARGO
- GSM8972571 nontarg_CARGO_R2 nontarg_CARGO
- GSM8972572 nontarg_CARGO_R3 nontarg_CARGO
- GSM8972573 dark_spheres_R1 dark_spheres
- GSM8972574 dark_spheres_R2 dark_spheres
- GSM8972575 dark_spheres_R3 dark_spheres
- GSM8972576 dark_spheres_R4 dark_spheres
- GSM8972577 blastoids_R1 blastoids
- GSM8972578 blastoids_R2 blastoids
- GSM8972579 blastoids_R3 blastoids
- GSM8972580 blastoids_R4 blastoids
- GSM8979081 ZNF729-FH_DMSO_REP1 ZNF729-FH_DMSO
- GSM8979082 ZNF729-FH_3h_REP1 ZNF729-FH_3h
- GSM8979083 ZNF729-FH_24h_REP1 ZNF729-FH_24h
+ 9 more — browse all 49 samples with per-sample file links →
- GSE314625 WSTF deficiency reprograms regulatory networks by linking locus‑specific chromatin remodeling to altered isoform expression and misdirected signaling [mRNA-seq] 18 samples shares regulatory, rna-seq
- GSE182604 Integrative gene regulatory analysis reveals transcriptional mechanisms required in mature human hepatocytes and during in vitro hepatocyte differentiation (scRNA-Seq) 18 samples shares regulatory, rna-seq
- GSE271115 Single-cell transcriptomics revealed molecular vulnerability in a human midbrain-like organoid model of Parkinson's Disease [RNA-Seq] 10 samples shares revealed, rna-seq
- GSE208342 Transcriptome and microbiome profile of nasopharyngeal samples among COVID-19 patients with different levels of severity revealed through RNA-seq analysis 20 samples shares revealed, rna-seq
- GSE292721 Oxidative stress-regulatory role of miR-10b-5p in the diabetic human cornea revealed through integrated multi-omics analysis 16 samples shares regulatory, revealed
- GSE341753 Cohesin loading at regulatory elements shapes 3D genome folding during erythropoiesis [RNA-Seq] 12 samples shares regulatory, rna-seq
- GSE299831 KOLF2.1J iTF-Microglia: A standardized platform to study microglial transcriptional regulatory networks in CNS disease [RNA-seq] 12 samples shares regulatory, rna-seq
- GSE276133 Integrative epigenomic profiling of hepatocellular carcinoma uncovers aberrant cis-regulatory changes and potential prognostic indicators [RNA-seq] 10 samples shares regulatory, 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.