Multiplexed single-cell characterization of alternative polyadenylation regulators
Single-cell RNA-seq · human · 52 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
- 52 samples: 19 conditions, mostly in duplicateGroups 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
- Multiplexed single-cell characterization of alternative polyadenylation regulatorsCell · 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 GSE269600_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 PRJNA1122594 and SRA study SRP513245. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 38 samples.
How we read this: 19 replicated groups read from 52 sample titles; they account for 38 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.
- GSM8322686 NT, CCT6A, replicate 1 NT, CCT6A,
- GSM8322687 NT, CCT6A, replicate 2 NT, CCT6A,
- GSM8322688 NT, CIAPIN1, replicate 1 NT, CIAPIN1,
- GSM8322689 NT, CIAPIN1, replicate 2 NT, CIAPIN1,
- GSM8322690 NT, JKAMP, replicate 1 NT, JKAMP,
- GSM8322691 NT, JKAMP, replicate 2 NT, JKAMP,
- GSM8322692 NT, LDHA, replicate 1 NT, LDHA,
- GSM8322693 NT, LDHA, replicate 2 NT, LDHA,
- GSM8322694 NT, PRDX3, replicate 1 NT, PRDX3,
- GSM8322695 NT, PRDX3, replicate 2 NT, PRDX3,
- GSM8322696 NT, SHMT1, replicate 1 NT, SHMT1,
- GSM8322697 NT, SHMT1, replicate 2 NT, SHMT1,
- GSM8322698 NT, TMEM106C, replicate 1 NT, TMEM106C,
- GSM8322699 NT, TMEM106C, replicate 2 NT, TMEM106C,
- GSM8322700 NUDT21, CCT6A, replicate 1 NUDT21, CCT6A,
- GSM8322701 NUDT21, CCT6A, replicate 2 NUDT21, CCT6A,
- GSM8322702 NUDT21, CIAPIN1, replicate 1 NUDT21, CIAPIN1,
- GSM8322703 NUDT21, CIAPIN1, replicate 2 NUDT21, CIAPIN1,
- GSM8322704 NUDT21, JKAMP, replicate 1 NUDT21, JKAMP,
- GSM8322705 NUDT21, JKAMP, replicate 2 NUDT21, JKAMP,
- GSM8322706 NUDT21, LDHA, replicate 1 NUDT21, LDHA,
- GSM8322707 NUDT21, LDHA, replicate 2 NUDT21, LDHA,
- GSM8322708 NUDT21, PRDX3, replicate 1 NUDT21, PRDX3,
- GSM8322709 NUDT21, PRDX3, replicate 2 NUDT21, PRDX3,
- GSM8322710 NUDT21, SHMT1, replicate 1 NUDT21, SHMT1,
- GSM8322711 NUDT21, SHMT1, replicate 2 NUDT21, SHMT1,
- GSM8322712 NUDT21, TMEM106C, replicate 1 NUDT21, TMEM106C,
- GSM8322713 NUDT21, TMEM106C, replicate 2 NUDT21, TMEM106C,
- GSM8322714 MPRA library, NT gA, replicate 1 MPRA library, NT gA,
- GSM8322715 MPRA library, NT gA, replicate 2 MPRA library, NT gA,
- GSM8322716 MPRA library, NT gB, replicate 1 MPRA library, NT gB,
- GSM8322717 MPRA library, NT gB, replicate 2 MPRA library, NT gB,
- GSM8322718 MPRA library, CSTF3 gA, replicate 1 MPRA library, CSTF3 gA,
- GSM8322719 MPRA library, CSTF3 gA, replicate 2 MPRA library, CSTF3 gA,
- GSM8322720 MPRA library, CSTF3 gB, replicate 1 MPRA library, CSTF3 gB,
- GSM8322721 MPRA library, CSTF3 gB, replicate 2 MPRA library, CSTF3 gB,
- GSM8322722 MPRA library, NUDT21 gA, replicate 1 MPRA library, NUDT21 gA,
- GSM8322723 MPRA library, NUDT21 gA, replicate 2 MPRA library, NUDT21 gA,
- GSM8322724 MPRA library, NIUDT21 gB, replicate 1
- GSM8322725 MPRA library, NUDT21 gB, replicate 2
+ 12 more — browse all 52 samples with per-sample file links →
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- GSE332623 Immunological Differences in Atopic Dermatitis Across Age Groups: Insights from Single-Cell Multi-Omics 54 samples shares single-cell
- GSE272005 Genomic and single-cell landscape of transformed cutaneous T-cell lymphoma 32 samples shares single-cell
- GSE253904 High-Dimensional Single-Cell Multimodal Landscape of Human Carotid Atherosclerosis 24 samples shares single-cell
- GSE253661 Longitudinal single-cell transcriptomics of monocytes, Tfh and gd Tcells following a control human malaria infection. 16 samples shares single-cell
- GSE287976 Single-Cell Omics Analysis of Human Basophils Reveals Two Transcriptionally Distinct Populations 12 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.