Developmental control of DNA damage responses in α- and β-cells shapes the selective beta-cell susceptibility in diabetes
RNA-seq (gene expression) · mouse · 28 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
- 28 samples: 11 × neonatal sample large vs 9 × neonatal sample small vs 6 × adult sampleGroups 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.
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 GSE317156_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 PRJNA1406183 and SRA study SRP658569. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 26 samples.
How we read this: 3 replicated groups read from 28 sample titles; they account for 26 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.
- GSM9421543 neonatal sample small 1 neonatal sample small
- GSM9421544 neonatal sample small 2 neonatal sample small
- GSM9421545 neonatal sample small 3 neonatal sample small
- GSM9421546 neonatal sample small 4 neonatal sample small
- GSM9421547 neonatal sample small 5 neonatal sample small
- GSM9421548 neonatal sample small 6 neonatal sample small
- GSM9421549 neonatal sample small 7 neonatal sample small
- GSM9421550 neonatal sample small 8 neonatal sample small
- GSM9421551 neonatal sample small 9 neonatal sample small
- GSM9421552 neonatal sample large 10 neonatal sample large
- GSM9421553 neonatal sample large 11 neonatal sample large
- GSM9421554 neonatal sample large 12 neonatal sample large
- GSM9421555 neonatal sample large 13 neonatal sample large
- GSM9421556 neonatal sample large 14 neonatal sample large
- GSM9421557 neonatal sample large 15 neonatal sample large
- GSM9421558 neonatal sample large 16 neonatal sample large
- GSM9421559 neonatal sample large 17 neonatal sample large
- GSM9421560 neonatal sample large 18 neonatal sample large
- GSM9421561 neonatal sample large 19 neonatal sample large
- GSM9421562 neonatal sample large 20 neonatal sample large
- GSM9421563 adult sample 1 adult sample
- GSM9421564 adult sample 2 adult sample
- GSM9421565 adult sample 3 adult sample
- GSM9421566 adult sample 4 adult sample
- GSM9421567 adult sample 5 adult sample
- GSM9421568 adult sample 6 adult sample
- GSM9421587 Neonatal sample small
- GSM9421588 Neonatal sample large
- GSE241770 ACSS2 mediates an epigenetic pathway to regulate maternal Beta-cell adaptation and progression of gestational diabetes (scRNA-Seq) 7899 samples shares beta-cell, diabetes
- GSE293456 A RAS(ON) multi-selective inhibitor combination therapy triggers long-term tumor control through senescence-associated tumor-immune equilibrium in preclinical models of PDAC 30 samples shares selective, control
- GSE330116 SLC38A2 mediates selective L-serine influx across the blood-brain barrier and controls brain D-serine and excitatory synapse development 20 samples shares selective, control
- GSE285762 Microbiome-produced nicotinic acid controls colon regional identity and injury susceptibility (Bulk-RNAseq) 18 samples shares susceptibility, control
- GSE285770 Microbiome-produced nicotinic acid controls colon regional identity and injury susceptibility (scRNAseq) 13 samples shares susceptibility, control
- GSE239700 NF-κB transcription factors RelA and c-Rel selectively control CD4+ T-cell function in multiple sclerosis and cancer [bulk_mouse] 12 samples shares selective, control
- GSE267720 Transgenerational inheritance of diabetes susceptibility in male offspring with maternal hyperandrogenism 11 samples shares susceptibility, diabetes
- GSE311539 Microbiome-produced nicotinic acid controls colon regional identity and injury susceptibility (Bulk-RNAseq) 10 samples shares susceptibility, control
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.