Large-scale Single-nuclei Profiling Identifies Role for ATRNL1 in Atrial Fibrillation
RNA-seq (gene expression) · human · 49 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Homo sapiens (human)
- Samples
- 49 samples: 38 distinct titles, 4 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.
- Paper
- Large-scale single-nuclei profiling identifies role for ATRNL1 in atrial fibrillationNature communications · 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 GSE255992_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA1077359 and SRA study SRP489449. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 49 sample titles: 38 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.
- GSM8076040 1279_3n
- GSM8076041 1296_1n
- GSM8076042 1334_3n
- GSM8076043 1357_2n
- GSM8076044 1360_1n
- GSM8076045 1365_1n
- GSM8076046 1369_3n
- GSM8076047 1377_3n
- GSM8076048 1440_1n
- GSM8076049 1465_1n
- GSM8076050 1488_2n
- GSM8076051 1490_3n
- GSM8076052 1498_1n
- GSM8076053 1513_1n
- GSM8076054 1515_1n
- GSM8076055 1540_3n
- GSM8076056 1543_1n
- GSM8076057 1558_1n
- GSM8076058 1561_1n
- GSM8076059 1570_1n
- GSM8076060 1582_1n
- GSM8076061 1588_1n
- GSM8076062 1591_1n
- GSM8076063 1593_1n
- GSM8076064 1603_1n
- GSM8076065 1610_1n
- GSM8076066 1623_1n
- GSM8076067 1626_1n
- GSM8076068 1696_1n
- GSM8076069 1698_3n
- GSM8076070 1741_1n
- GSM8076071 1758_1n
- GSM8076072 1762_1n
- GSM8076073 1789_1n
- GSM8083887 ATRNL1_sirna_31
- GSM8083888 ATRNL1_sirna_341
- GSM8083889 ATRNL1_sirna_41
- GSM8083890 ATRNL1_sirna_52
- GSM8083891 ATRNL1_sirna_562
- GSM8083892 ATRNL1_sirna_62
+ 9 more — browse all 49 samples with per-sample file links →
- 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, atrial
- GSE255991 Large-scale Single-nuclei Profiling Identifies Role for ATRNL1 in Atrial Fibrillation [bulk RNA-seq] 15 samples shares atrnl1, single-nuclei, fibrillation, large-scale, identifies, atrial
- GSE294456 Single-cell TCR Profiling in Left Atria Identifies Complement Pathway Involvement in Atrial Fibrillation 4 samples shares fibrillation, identifies, atrial
- GSE269882 The role of structural vs cellular remodeling in arrhythmogenesis: personalized computer models of atrial fibrillation 27 samples shares fibrillation, atrial
- 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
- GSE282504 Using integrative bioinformatics approaches and machine‑learning strategies to Identify potential signatures for atrial fibrillation 30 samples shares fibrillation, atrial
- GSE236870 M1 Macrophages cause cardiac arrhythmia in an in vitro hiPSC coculture model of inflammation-induced atrial fibrillation 24 samples shares fibrillation, atrial
- GSE234141 Titin truncating variant associated with atrial fibrillation leads to cell type-specific effects in atrial and ventricular patient hiPSC-CM models 24 samples shares fibrillation, atrial
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.