ZNHIT3 Regulates Translation to Ensure Cell Lineage Differentiation in Mouse Preimplantation Development [seRNA-Seq]
RNA-seq (gene expression) · mouse · 94 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
- Mus musculus (mouse)
- Samples
- 94 samples: 29 × Znhit3_4cell_se vs 22 × Znhit3_8cell_se vs 22 × Znhit3_Morula_se vs 21 × Znhit3_EB_seGroups 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
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 GSE267997_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 PRJNA1114013 and SRA study SRP508973. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 94 samples.
How we read this: 4 replicated groups read from 94 sample titles; they account for 94 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.
- GSM8283614 Znhit3_4cell_se1 Znhit3_4cell_se
- GSM8283615 Znhit3_4cell_se10 Znhit3_4cell_se
- GSM8283616 Znhit3_4cell_se11 Znhit3_4cell_se
- GSM8283617 Znhit3_4cell_se12 Znhit3_4cell_se
- GSM8283618 Znhit3_4cell_se13 Znhit3_4cell_se
- GSM8283619 Znhit3_4cell_se14 Znhit3_4cell_se
- GSM8283620 Znhit3_4cell_se15 Znhit3_4cell_se
- GSM8283621 Znhit3_4cell_se16 Znhit3_4cell_se
- GSM8283622 Znhit3_4cell_se17 Znhit3_4cell_se
- GSM8283623 Znhit3_4cell_se18 Znhit3_4cell_se
- GSM8283624 Znhit3_4cell_se19 Znhit3_4cell_se
- GSM8283625 Znhit3_4cell_se2 Znhit3_4cell_se
- GSM8283626 Znhit3_4cell_se20 Znhit3_4cell_se
- GSM8283627 Znhit3_4cell_se21 Znhit3_4cell_se
- GSM8283628 Znhit3_4cell_se22 Znhit3_4cell_se
- GSM8283629 Znhit3_4cell_se23 Znhit3_4cell_se
- GSM8283630 Znhit3_4cell_se24 Znhit3_4cell_se
- GSM8283631 Znhit3_4cell_se25 Znhit3_4cell_se
- GSM8283632 Znhit3_4cell_se26 Znhit3_4cell_se
- GSM8283633 Znhit3_4cell_se27 Znhit3_4cell_se
- GSM8283634 Znhit3_4cell_se28 Znhit3_4cell_se
- GSM8283635 Znhit3_4cell_se29 Znhit3_4cell_se
- GSM8283636 Znhit3_4cell_se3 Znhit3_4cell_se
- GSM8283637 Znhit3_4cell_se31 Znhit3_4cell_se
- GSM8283638 Znhit3_4cell_se4 Znhit3_4cell_se
- GSM8283639 Znhit3_4cell_se5 Znhit3_4cell_se
- GSM8283640 Znhit3_4cell_se6 Znhit3_4cell_se
- GSM8283641 Znhit3_4cell_se8 Znhit3_4cell_se
- GSM8283642 Znhit3_4cell_se9 Znhit3_4cell_se
- GSM8283643 Znhit3_8cell_se1 Znhit3_8cell_se
- GSM8283644 Znhit3_8cell_se10 Znhit3_8cell_se
- GSM8283645 Znhit3_8cell_se11 Znhit3_8cell_se
- GSM8283646 Znhit3_8cell_se12 Znhit3_8cell_se
- GSM8283647 Znhit3_8cell_se14 Znhit3_8cell_se
- GSM8283648 Znhit3_8cell_se16 Znhit3_8cell_se
- GSM8283649 Znhit3_8cell_se17 Znhit3_8cell_se
- GSM8283650 Znhit3_8cell_se18 Znhit3_8cell_se
- GSM8283651 Znhit3_8cell_se2 Znhit3_8cell_se
- GSM8283652 Znhit3_8cell_se25 Znhit3_8cell_se
- GSM8283653 Znhit3_8cell_se26 Znhit3_8cell_se
+ 54 more — browse all 94 samples with per-sample file links →
- GSE267993 ZNHIT3 Regulates Translation to Ensure Cell Lineage Differentiation in Mouse Preimplantation Development [scRNA-Seq] 96 samples shares znhit3, preimplantation, translation, lineage, ensure
- GSE268043 ZNHIT3 Regulates Translation to Ensure Cell Lineage Differentiation in Mouse Preimplantation Development 202 samples shares znhit3, preimplantation, translation, lineage, ensure
- GSE263902 The translational landscape of mouse oocytes and preimplantation embryos revealed by high-resolution ribosome profiling 272 samples shares preimplantation, translation
- GSE235109 Ensembles of genome-coverage single-cell histone modifications reveal epigenetic lineages during mouse preimplantation development 47 samples shares preimplantation, lineage
- GSE259393 Ensembles of genome-coverage single-cell histone modifications reveal epigenetic lineages during mouse preimplantation development II 27 samples shares preimplantation, lineage
- GSE314859 The degradation of maternal RNA-binding protein 4E-T regulates translational activation to ensure maternal-to-zygotic transition in mouse embryos 67 samples shares translation, ensure
- GSE298423 The role of ZNHIT3 in cerebellar granule cell development 12 samples shares znhit3
- GSE294512 eIF4G2-mediated Translation Initiation of Histone Modifiers is Essential for Intestinal Stem Cell Maintenance and Differentiation [RNA-seq] 92 samples shares translation
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.