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ZFP57 is a regulator of postnatal growth and life-long health

GSE248780 Mus musculus (mouse) RNA-seq (gene expression) 120 samples Submitted 2024/07/31 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 120 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
120 samples: 35 conditions, mostly with about 4 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
ZFP57 is a regulator of postnatal growth and life-long healthNature communications · 2026
Summary (written by the submitters)
Early-life factors, including nutrition, shape long-term health outcomes. Despite the essential role of lactation in maternal nutritional support, the influence of epigenetic factors on lactation and postnatal growth remains poorly understood. Zinc-finger protein 57 (ZFP57), is an epigenetic regulator of genomic imprinting, a process that directs gene expression based on parental origin, playing a vital role in mammalian prenatal growth.
Read the full summary ↓
Here, we identify a novel function of ZFP57 in the mammary glandI, where it serves as a key modulator of postnatal resource control, independently of imprinted genes. ZFP57 regulates multiple aspects of mammary gland functions, including ductal branching and cellular homeostasis. Its absence leads to significant differential gene expression, related to alveologenesis, lactogenesis and milk synthesis, associated with delayed lactation and altered milk composition. This results in life-long impacts on offspring including the development of metabolic syndrome. Cross-fostering reveals intricate dynamics between mother and offspring during lactation. Pups raised by a dam of a different genotype than their birth mother exhibit exacerbated metabolic features in adulthood, providing additional novel insight into the programming of offspring long-term health by maternal context. This study deepens our understanding of the interplay between epigenetic factors, lactation, and postnatal resource control.
Published in
ZFP57 is a regulator of postnatal growth and life-long health
Hanin G, AlSulaiti B, Costello KR et al. · Nature communications 2026 · PMID 41593093 · doi:10.1038/s41467-026-68608-9
This dataset
Open GSE248780 in finder → Find more mouse RNA-seq datasets →
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.

Series matrix ↓
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 GSE248780_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA1046002 and SRA study SRP474806. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41593093) ↗
Study design
35 conditions, mostly with about 4 replicates each
stromal_t0_wt_M ×4 basal_t0_wt_M ×4 endo_t0_wt_M ×4 lumhi_t0_wt_M ×4 lumlo_t0_ko_M ×4 stromal_t0_ko_M ×4 basal_t0_ko_M ×4 endo_t0_ko_M ×4 +27 more

Supports a between-group comparison across 120 samples.

How we read this: 35 replicated groups read from 120 sample titles; they account for 120 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

+ 80 more — browse all 120 samples with per-sample file links →

Datasets on a similar topic

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