← BioTransfer GEO Dataset Finder
GEO series

An atlas of small non-coding RNAs in Human Preimplantation Development [RNA-seq]

GSE249493 Homo sapiens (human) RNA-seq (gene expression) 103 samples Submitted 2024/09/06 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 103 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
103 samples: 103 samples, each with a distinct title — no replicated groupsGroups 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
An atlas of small non-coding RNAs in human preimplantation developmentNature communications · 2024
Summary (written by the submitters)
Our current understanding of the molecular circuitries that govern early embryogenesis remains limited, particularly in the human. Small non-coding RNAs (sncRNAs) regulate gene expression transcriptionally and post-transcriptionally, however, the expression of specific biotypes and their dynamics during preimplantation development remains to be determined.
Read the full summary ↓
Using Small-seq, we identified the abundance of and dynamic expression of piRNA, rRNA, snoRNA, tRNA, and miRNA in human embryos from day 3 to 7. Among the biotypes, both miRNA and snoRNA displayed distinct associations with developmental time and lineage formation, many of which were found to target key gene expression programs in pluripotency and lineage establishment. We observed an enrichment of the chromosome 19 miRNA cluster (C19MC) in the trophectoderm (TE), and the chromosome 14 miRNA cluster (C14MC) and MEG8-related snoRNAs in the inner cell mass (ICM). Additionally, isomiR analyses suggested miRNAs are modified differentially during blastulation. Finally, six novel miRNAs and their embryo gene targets we identified. Our analyses provide the first comprehensive measure of sncRNA biotypes and their corresponding dynamics throughout human preimplantation development, providing an extensive resource. Elucidating the functional roles of sncRNAs during preimplantation development will provide insight into the establishment of the blastocyst and exit from pluripotency. Further, better understanding the miRNA regulatory programs in human embryogenesis will inform strategies to improve embryo development and outcomes of assisted reproductive technologies. We anticipate broad usage of our data as a resource for studies aimed at understanding embryogenesis, optimising stem cell-based models, assisted reproductive technology, and stem cell biology.
Published in
An atlas of small non-coding RNAs in human preimplantation development
Russell SJ, Zhao C, Biondic S et al. · Nature communications 2024 · PMID 39367016 · doi:10.1038/s41467-024-52943-w
This dataset
Open GSE249493 in finder → Find more human 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 GSE249493_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 PRJNA1049378 and SRA study SRP476147. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39367016) ↗
Study design
103 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 103 sample titles: 103 distinct titles with little repetition. 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

+ 63 more — browse all 103 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

Share this dataset

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.