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ZNHIT3 Regulates Translation to Ensure Cell Lineage Differentiation in Mouse Preimplantation Development

GSE268043 Mus musculus (mouse) Non-coding RNA profiling 202 samples Submitted 2025/11/18 Platform GPL21493
At a glance

Non-coding RNA profiling · mouse · 202 samples

What it is
Non-coding RNA profilingLevels of RNAs that do not code for proteins, such as miRNA or lncRNA.
Organism
Mus musculus (mouse)
Samples
202 samples: 20 conditions, mostly with about 8 replicates eachGroups 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
ZNHIT3 Regulates Translation to Ensure Cell Lineage Differentiation in Mouse Preimplantation DevelopmentAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
Published in
ZNHIT3 Regulates Translation to Ensure Cell Lineage Differentiation in Mouse Preimplantation Development
Yang G, Xin Q, Dean J · Advanced science (Weinheim, Baden-Wurttemberg, Germany) 2025 · PMID 40178020 · doi:10.1002/advs.202413599
This dataset
Download · which file do I need?

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.

1 · Just have a look

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.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE268043_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

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.

Also filed as BioProject PRJNA1114089 and SRA study SRP508956. Searching any of these in the dataset finder brings you back here.

Study design
20 conditions, mostly with about 8 replicates each
Znhit3_4cell_se ×29 Znhit3_8cell_se ×22 Znhit3_Morula_se ×22 Znhit3_EB_se ×21 scRNAseq_8cell_R33 ×8 scRNAseq_8cell_R34 ×8 scRNAseq_8cell_R35 ×8 scRNAseq_8cell_R39 ×8 +12 more

Supports a between-group comparison across 202 samples.

How we read this: 20 replicated groups read from 202 sample titles; they account for 202 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.

Samples in this study

+ 162 more — browse all 202 samples with per-sample file links →

Datasets on a similar topic

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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.