Single-cell multiome uncovers differences in glycogen metabolism underlying species-specific speed of development
Single-cell RNA-seq · Macaca fascicularis; Mus musculus; Homo sapiens · 23 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Macaca fascicularis; Mus musculus; Homo sapiens
- Samples
- 23 samples: 22 distinct titles, 1 of them repeatedGroups 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 GSE275572_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.
Also filed as BioProject PRJNA1151687 and SRA study SRP528317. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 23 sample titles: 22 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.
- GSM8479733 Gene expression library from human and cynomolgus UGP2 KO, day 0
- GSM8479734 Gene expression library from human and cynomolgus UGP2 KO, day 7
- GSM8479788 Gene expression library, day 2, with INK, Cynomolgus
- GSM8479789 Gene expression library, day 4, with INK, Cynomolgus
- GSM8479790 Gene expression library, day 2, Cynomolgus
- GSM8479791 Gene expression library, day 4, Cynomolgus
- GSM8479792 Gene expression library, day 0, Cynomolgus
- GSM8479793 Gene expression library, day 2, with INK, Human
- GSM8479794 Gene expression library, day 4, with INK, Human
- GSM8479795 Gene expression library, day 2, Human
- GSM8479796 Gene expression library, day 4, Human
- GSM8479797 Gene expression library, day 0, Human
- GSM8479798 Gene expression library, day 2, with INK, Mouse
- GSM8479799 Gene expression library, day 4, with INK, Mouse
- GSM8479800 Gene expression library, day 2, Mouse
- GSM8479801 Gene expression library, day 4, Mouse
- GSM8479802 Gene expression library, day 0, Mouse
- GSM8490458 single cell gene expression library of human samples (day0 to 10)
- GSM8490459 single cell ATAC seq library of human samples (day0 to 10)
- GSM8490460 single cell gene expression library of cynomolgus samples (day0 to 10)
- GSM8490461 single cell ATAC seq library of cynomolgus samples (day0 to 10)
- GSM8490462 single cell gene expression library of mouse samples (day0 to 10)
- GSM8490463 single cell ATAC seq library of mouse samples (day0 to 10)
- GSE95218 Single-cell CAS-seq reveals a class of short PIWI-interacting RNAs in human oocytes 111 samples shares single-cell
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.