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A multi-omic dataset of cellular and microRNA profiles in human breast milk across a spectrum of gestational ages

GSE328024 Homo sapiens (human) Non-coding RNA profiling 14 samples Submitted 2026/04/15 Platform GPL24676Platform GPL23227
At a glance

Non-coding RNA profiling · human · 14 samples

What it is
Non-coding RNA profilingLevels of RNAs that do not code for proteins, such as miRNA or lncRNA.
Organism
Homo sapiens (human)
Samples
14 samples: 3 × BM39W vs 3 × miRNA_BM39W vs 2 × BM31W vs 2 × miRNA_BM31WGroups 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.
Summary (written by the submitters)
Breast milk composition dynamically adapts to factors like gestational age at birth. This multi-omics dataset integrates single‑cell RNA sequencing and exosomal miRNA profiles from the same breast milk samples, capturing cellular and molecular transformations that meet the developmental needs of preterm and term infants. It provides a unique resource for investigating maternal‑neonatal interactions, personalized nutrition, and infant development across cellular and regulatory dimensions.
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 GSE328024_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 PRJNA1451413 and SRA study SRP690994. Searching any of these in the dataset finder brings you back here.

Study design
3 × BM39W vs 3 × miRNA_BM39W vs 2 × BM31W vs 2 × miRNA_BM31W

Supports a between-group comparison across 10 samples.

How we read this: 4 replicated groups read from 14 sample titles; they account for 10 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
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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.