Single-nucleus Multiome Profiling of Infant and Adult Human Spleen
Single-nucleus RNA-seq · human · 10 samples
- What it is
- Single-nucleus RNA-seqGene activity measured in individual nuclei (used when whole cells are hard to isolate, for example from frozen tissue).
- Organism
- Homo sapiens (human)
- Samples
- 10 samples: 10 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
- Distinct transcription factors control tissue adaptation and effector function in infant and adult memory T cellsNature immunology · 2026
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 GSE311423_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 PRJNA1369441 and SRA study SRP648886. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 10 sample titles: 10 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.
- GSM9324874 Multiome, T cells, Infant 1, GEX
- GSM9324875 Multiome, T cells, Infant 1, ATAC
- GSM9324876 Multiome, T cells, Infant 2, GEX
- GSM9324877 Multiome, T cells, Infant 2, ATAC
- GSM9324878 Multiome, T cells, Infant 3, GEX
- GSM9324879 Multiome, T cells, Infant 3, ATAC
- GSM9324880 Multiome, Immune cells, Adult 1, GEX
- GSM9324881 Multiome, Immune cells, Adult 1, ATAC
- GSM9324882 Multiome, Immune cells, Adult 2, GEX
- GSM9324883 Multiome, Immune cells, Adult 2, ATAC
- GSE296875 Liver single-nucleus multiome profiling reveals cell-type mechanisms for cardiometabolic traits 16 samples shares single-nucleus, multiome
- GSE195844 Single-cell transcriptomics of infant and adult T cells across human tissues 168 samples shares infant, adult
- GSE317163 Single-Nucleus Analysis of the Adult Human Olfactory Epithelium Uncovers Shared Neurogenesis Programs with the Brain 12 samples shares single-nucleus, adult
- GSE206289 SARS-CoV-2 induced immune perturbations in infants vary with disease severity and differ from adults’ responses 40 samples shares infant, adult
- GSE286182 Single Nuclear RNAseq and MultiOme of IPF and Control Lung Tissue 75 samples shares multiome
- GSE305145 Single-Cell Multiomic Atlas of Human Cortical Development in Down Syndrome - iPSC-derived Neural Xenografts Multiome Dataset 8 samples shares multiome
- GSE244585 Single nuclei chromatin accessibility and transcriptomic map of breast tissues of women of diverse genetic ancestry [10X single-cell multiome] 32 samples shares multiome
- GSE283619 Single-cell multi-omics analysis identifies metabolism-linked epigenetic reprogramming as a driver of therapy-resistant medulloblastoma [Multiome] 30 samples shares multiome
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.