Inhibition of NFAT after human uterus transplant promotes loss of tissue-resident NK cells and attendant pregnancy complications [CITE-seq]
Single-cell RNA-seq · human · 58 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Homo sapiens (human)
- Samples
- 58 samples: 58 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
- Inhibition of NFAT after human uterus transplant promotes loss of tissue-resident NK cells and attendant pregnancy complicationsScience translational medicine · 2026
Read the full summary ↓
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 GSE292829_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 PRJNA1241324 and SRA study SRP572755. 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 58 sample titles: 58 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.
- GSM8866101 Healthy Control 10_L1_GEX
- GSM8866102 Healthy Control 10_L2_GEX
- GSM8866103 Healthy Control 10_L3_GEX
- GSM8866104 Healthy Control 10_L4_GEX
- GSM8866105 Healthy Control 10_L1_ADT
- GSM8866106 Healthy Control 10_L2_ADT
- GSM8866107 Healthy Control 10_L3_ADT
- GSM8866108 Healthy Control 10_L4_ADT
- GSM8866109 Healthy Control 12_L1_ADT
- GSM8866110 Healthy Control 12_L2_ADT
- GSM8866111 Healthy Control 12_L1_GEX
- GSM8866112 Healthy Control 12_L2_GEX
- GSM8866113 Healthy Control 20_L1_ADT
- GSM8866114 Healthy Control 20_L2_ADT
- GSM8866115 Healthy Control 20_L3_ADT
- GSM8866116 Healthy Control 20_L4_ADT
- GSM8866117 Healthy Control 20_L1_GEX
- GSM8866118 Healthy Control 20_L2_GEX
- GSM8866119 Healthy Control 20_L3_GEX
- GSM8866120 Healthy Control 20_L4_GEX
- GSM8866121 Uterus Transplant 1_Biopsy 3_L1_GEX
- GSM8866122 Uterus Transplant 1_Biopsy 3_L2_GEX
- GSM8866123 Uterus Transplant 1_Biopsy 3_L3_GEX
- GSM8866124 Uterus Transplant 1_Biopsy 3_L4_GEX
- GSM8866125 Uterus Transplant 1_Biopsy 3_L1_ADT
- GSM8866126 Uterus Transplant 1_Biopsy 3_L2_ADT
- GSM8866127 Uterus Transplant 1_Biopsy 3_L3_ADT
- GSM8866128 Uterus Transplant 1_Biopsy 3_L4_ADT
- GSM8866129 Uterus Transplant 1_Biopsy 4_L1_1_GEX
- GSM8866130 Uterus Transplant 1_Biopsy 4_L2_1_GEX
- GSM8866131 Uterus Transplant 1_Biopsy 4_L1_2_GEX
- GSM8866132 Uterus Transplant 1_Biopsy 4_L2_2_GEX
- GSM8866133 Uterus Transplant 1_Biopsy 4_L1_3_GEX
- GSM8866134 Uterus Transplant 1_Biopsy 4_L2_3_GEX
- GSM8866135 Uterus Transplant 1_Biopsy 4_L1_4_GEX
- GSM8866136 Uterus Transplant 1_Biopsy 4_L2_4_GEX
- GSM8866137 Uterus Transplant 1_Biopsy 4_L1_5_ADT
- GSM8866138 Uterus Transplant 1_Biopsy 4_L2_5_ADT
- GSM8866139 Uterus Transplant 1_Biopsy 4_L1_6_ADT
- GSM8866140 Uterus Transplant 1_Biopsy 4_L2_6_ADT
+ 18 more — browse all 58 samples with per-sample file links →
- GSE292828 Inhibition of NFAT after human uterus transplant promotes loss of tissue-resident NK cells and attendant pregnancy complications [scRNA-seq] 39 samples shares nfat, tissue-resident, complications, inhibition, transplant, attendant, pregnancy, promotes
- GSE281320 DNMT3B promotes neuroblastoma growth and survival, and its inhibition demonstrates antitumor effects. 6 samples shares inhibition, promotes
- GSE306620 TCR signaling via NFATc1 constrains IL-15-induced NK-like activation of human memory CD8+ T cells 26 samples shares nfat
- GSE289496 Granzyme K CD8⁺ T cells with tissue-resident features promote intestinal inflammation in patients with Crohn’s disease 45 samples shares tissue-resident
- GSE301378 Single-cell RNA-seq and TCR profiling of tissue-resident memory T cells in the fallopian tube and matched ovarian cancer samples 32 samples shares tissue-resident
- GSE284015 GZMK-expressing tissue-resident memory CD8+ T cells mediate human intestinal acute graft-versus-host disease 26 samples shares tissue-resident
- GSE319266 Identification of target genes and regulatory networks for bone mineral density GWAS loci through systematic targeting and inhibition [hFOB BMD STING-seq] 24 samples shares inhibition
- GSE199913 KDM4C inhibition blocks tumor growth in basal breast cancer by promoting cathepsin L-mediated histone H3 cleavage 231 samples shares inhibition
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.