Single nuclei ATACseq profiling of Human Pancreatic Islets across sex
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 15 samples
- What it is
- ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
- Organism
- Homo sapiens (human)
- Samples
- 15 samples: 15 × Pancreatic islets, non-diabetic,Groups 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
- Sex-specific regulatory architecture of pancreatic islets from subjects with and without type 2 diabetesThe EMBO journal · 2024
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 GSE266405_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.
Also filed as BioProject PRJNA1106977 and SRA study SRP505268. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 15 samples.
How we read this: 1 replicated groups read from 15 sample titles; they account for 15 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.
- GSM8246449 Pancreatic islets, non-diabetic, biological replicate 1 Pancreatic islets, non-…
- GSM8246450 Pancreatic islets, non-diabetic, biological replicate 2 Pancreatic islets, non-…
- GSM8246451 Pancreatic islets, non-diabetic, biological replicate 3 Pancreatic islets, non-…
- GSM8246452 Pancreatic islets, non-diabetic, biological replicate 4 Pancreatic islets, non-…
- GSM8246453 Pancreatic islets, non-diabetic, biological replicate 5 Pancreatic islets, non-…
- GSM8246454 Pancreatic islets, non-diabetic, biological replicate 6 Pancreatic islets, non-…
- GSM8246455 Pancreatic islets, non-diabetic, biological replicate 7 Pancreatic islets, non-…
- GSM8246456 Pancreatic islets, non-diabetic, biological replicate 8 Pancreatic islets, non-…
- GSM8246457 Pancreatic islets, non-diabetic, biological replicate 9 Pancreatic islets, non-…
- GSM8246458 Pancreatic islets, non-diabetic, biological replicate 10 Pancreatic islets, non-…
- GSM8246459 Pancreatic islets, non-diabetic, biological replicate 11 Pancreatic islets, non-…
- GSM8246460 Pancreatic islets, non-diabetic, biological replicate 12 Pancreatic islets, non-…
- GSM8246461 Pancreatic islets, non-diabetic, biological replicate 13 Pancreatic islets, non-…
- GSM8246462 Pancreatic islets, non-diabetic, biological replicate 14 Pancreatic islets, non-…
- GSM8246463 Pancreatic islets, non-diabetic, biological replicate 15 Pancreatic islets, non-…
- GSE335464 Integrative single-cell multi-omics profiling of human pancreatic islets identifies T1D-associated genes and regulatory signals [single cell] 28 samples shares pancreatic, islets
- GSE329231 Epigenomic profiling of H3K9me3 and H3K27ac across melanoma cell lines with different mutational backgrounds 45 samples shares across
- GSE296831 Epigenetic Context Defines the Transcriptional Activity of Canonical and Noncanonical NF-kappaB Signaling in Pancreatic Cancer [ChIP-Seq] 48 samples shares pancreatic
- GSE327707 Sorted bulk RNA-seq profiling of human peripheral blood mononuclear cell populations across diverse in vitro immune stimuli 150 samples shares across
- GSE327907 Integrated single‑cell transcriptomic profiling of human peripheral blood mononuclear cells across diverse in vitro immune stimuli 16 samples shares across
- GSE233321 Single-cell map of the healthy human immune system across the lifespan reveals unique infant immune signatures 118 samples shares across
- GSE256490 Single-cell atlas of the human brain vasculature across development, adulthood and disease (scRNA-Seq) 71 samples shares across
- GSE245986 Profiling circular RNAs across human embryonic stem cell differentiation identifies the role of circACVR2A(4-6) in neuroectoderm lineage differentiation. 54 samples shares across
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.