Large-scale Single-nuclei Profiling Identifies Role for ATRNL1 in Atrial Fibrillation [bulk RNA-seq]
Single-nucleus RNA-seq · human · 15 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). Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
- Organism
- Homo sapiens (human)
- Samples
- 15 samples: 6 × ATRNL1_sirna vs 3 × lenti_c vs 3 × lenti_short vs 3 × siRNA_aCMGroups 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
- Large-scale single-nuclei profiling identifies role for ATRNL1 in atrial fibrillationNature communications · 2024
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 GSE255991_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 PRJNA1077364 and SRA study SRP490069. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 15 samples.
How we read this: 4 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.
- GSM8083887 ATRNL1_sirna_31 ATRNL1_sirna
- GSM8083888 ATRNL1_sirna_341 ATRNL1_sirna
- GSM8083889 ATRNL1_sirna_41 ATRNL1_sirna
- GSM8083890 ATRNL1_sirna_52 ATRNL1_sirna
- GSM8083891 ATRNL1_sirna_562 ATRNL1_sirna
- GSM8083892 ATRNL1_sirna_62 ATRNL1_sirna
- GSM8083893 lenti_c_7 lenti_c
- GSM8083894 lenti_c_78 lenti_c
- GSM8083895 lenti_c_8 lenti_c
- GSM8083896 lenti_short_10 lenti_short
- GSM8083897 lenti_short_9 lenti_short
- GSM8083898 lenti_short_910 lenti_short
- GSM8083899 siRNA_aCM_1 siRNA_aCM
- GSM8083900 siRNA_aCM_2 siRNA_aCM
- GSM8083901 siRNA_aCM_3 siRNA_aCM
- GSE255612 Large-scale Single-nuclei Profiling Identifies Role for ATRNL1 in Atrial Fibrillation [snRNA-seq] 34 samples shares atrnl1, single-nuclei, fibrillation, large-scale, identifies, rna-seq, atrial
- GSE255992 Large-scale Single-nuclei Profiling Identifies Role for ATRNL1 in Atrial Fibrillation 49 samples shares atrnl1, single-nuclei, fibrillation, large-scale, identifies, atrial
- GSE271839 Atrial fibrillation variant-to-gene prioritization through cross-ancestry eQTL and single-nucleus multiomic analyses (bulk RNA-seq) 6 samples shares fibrillation, rna-seq, atrial, bulk
- GSE270250 Comprehensive analysis of Bulk RNA-seq and Single-nuclei RNA-seq reveals the origin of high-grade serous “ovarian” carcinoma [snRNA-seq] 13 samples shares single-nuclei, rna-seq, bulk
- GSE294456 Single-cell TCR Profiling in Left Atria Identifies Complement Pathway Involvement in Atrial Fibrillation 4 samples shares fibrillation, identifies, atrial
- GSE290282 Large-scale tethered screen of RNA-binding proteins reveals novel regulators of poly(A) site selection [RNA-Seq] 92 samples shares large-scale, rna-seq
- GSE253557 Single-nuclei RNA-Seq profiles from Group 3 and Group 4 medulloblastomas [scRNA-Seq] 39 samples shares single-nuclei, rna-seq
- GSE263474 Large-scale characterisation of cell line xenografts identifies SMAD4 as key regulator of breast cancer morphology and aggressiveness 39 samples shares large-scale, identifies
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.