Distinct differentiation trajectories leave lasting impacts on gene regulation and function of V2a neurons [Bulk RNA-seq]
Single-nucleus RNA-seq · human · 48 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
- 48 samples: 20 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.
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 GSE282876_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 PRJNA1190924 and SRA study SRP547755. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 42 samples.
How we read this: 20 replicated groups read from 48 sample titles; they account for 42 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.
- GSM8651902 CREB5 KD, NEP, shRNA1, replicate1 CREB5 KD, NEP, shRNA1,
- GSM8651903 CREB5 KD, NEP, shRNA1, replicate2, reseq
- GSM8651904 CREB5 KD, NEP, shRNA1, replicate2 CREB5 KD, NEP, shRNA1,
- GSM8651905 CREB5 KD, NEP, shRNA2, replicate1 CREB5 KD, NEP, shRNA2,
- GSM8651906 CREB5 KD, NEP, shRNA2, replicate2 CREB5 KD, NEP, shRNA2,
- GSM8651907 CREB5 KD, NMP, shRNA1, replicate2
- GSM8651908 CREB5 KD, NMP, shRNA2, replicate1, reseq
- GSM8651909 CREB5 KD, NMP, shRNA2, replicate1 CREB5 KD, NMP, shRNA2,
- GSM8651910 CREB5 KD, NMP, shRNA2, replicate2 CREB5 KD, NMP, shRNA2,
- GSM8651911 CTL, NEP, replicate1 CTL, NEP,
- GSM8651912 CTL, NEP, replicate2 CTL, NEP,
- GSM8651913 CTL, NEP, replicate3 CTL, NEP,
- GSM8651914 CTL, NMP, replicate1 CTL, NMP,
- GSM8651915 CTL, NMP, replicate2 CTL, NMP,
- GSM8651916 CTL, NMP, replicate3 CTL, NMP,
- GSM8651917 KLF12 KD, NEP, shRNA1, replicate1 KLF12 KD, NEP, shRNA1,
- GSM8651918 KLF12 KD, NEP, shRNA1, replicate2 KLF12 KD, NEP, shRNA1,
- GSM8651919 KLF12 KD, NEP, shRNA2, replicate1 KLF12 KD, NEP, shRNA2,
- GSM8651920 KLF12 KD, NEP, shRNA2, replicate2 KLF12 KD, NEP, shRNA2,
- GSM8651921 KLF12 KD, NMP, shRNA1, replicate1 KLF12 KD, NMP, shRNA1,
- GSM8651922 KLF12 KD, NMP, shRNA1, replicate2 KLF12 KD, NMP, shRNA1,
- GSM8651923 KLF12 KD, NMP, shRNA2, replicate1 KLF12 KD, NMP, shRNA2,
- GSM8651924 KLF12 KD, NMP, shRNA2, replicate2 KLF12 KD, NMP, shRNA2,
- GSM8651925 ONECUT2 KD, NEP, shRNA1, replicate2
- GSM8651926 ONECUT2 KD, NEP, shRNA2, replicate1 ONECUT2 KD, NEP, shRNA2,
- GSM8651927 ONECUT2 KD, NEP, shRNA2, replicate2 ONECUT2 KD, NEP, shRNA2,
- GSM8651928 ONECUT2 KD, NMP, shRNA1, replicate1 ONECUT2 KD, NMP, shRNA1,
- GSM8651929 ONECUT2 KD, NMP, shRNA1, replicate2 ONECUT2 KD, NMP, shRNA1,
- GSM8651930 ONECUT2 KD, NMP, shRNA2, replicate1 ONECUT2 KD, NMP, shRNA2,
- GSM8651931 ONECUT2 KD, NMP, shRNA2, replicate2 ONECUT2 KD, NMP, shRNA2,
- GSM8651932 PAX5 KD, NEP, shRNA1, replicate1 PAX5 KD, NEP, shRNA1,
- GSM8651933 PAX5 KD, NEP, shRNA1, replicate2 PAX5 KD, NEP, shRNA1,
- GSM8651934 PAX5 KD, NEP, shRNA2, replicate1 PAX5 KD, NEP, shRNA2,
- GSM8651935 PAX5 KD, NEP, shRNA2, replicate2 PAX5 KD, NEP, shRNA2,
- GSM8651936 PAX5 KD, NMP, shRNA1, replicate1 PAX5 KD, NMP, shRNA1,
- GSM8651937 PAX5 KD, NMP, shRNA1, replicate2 PAX5 KD, NMP, shRNA1,
- GSM8651938 PAX5 KD, NMP, shRNA2, replicate1 PAX5 KD, NMP, shRNA2,
- GSM8651939 PAX5 KD, NMP, shRNA2, replicate2 PAX5 KD, NMP, shRNA2,
- GSM8651940 TCF7L2 KD, NEP, shRNA1, replicate1, reseq
- GSM8651941 TCF7L2 KD, NEP, shRNA1, replicate1 TCF7L2 KD, NEP, shRNA1,
+ 8 more — browse all 48 samples with per-sample file links →
- GSE283005 Distinct differentiation trajectories leave lasting impacts on gene regulation and function of V2a neurons 60 samples shares trajectories, distinct, lasting, impacts, neurons, leave
- GSE309941 Immunometabolic Endotypes Define Distinct Clinical Trajectories in Type 2 Diabetes [bulk RNA-seq] 42 samples shares trajectories, distinct, rna-seq, bulk
- GSE319130 Multi-omic analysis reveals molecular subtypes with distinct immunological phenotypes in SLE [RNA-Seq] 804 samples shares distinct, rna-seq
- GSE312983 A single-nucleus RNA-seq atlas of colorectal cancer across the age continuum reveals distinct features of early-onset colorectal cancer 189 samples shares distinct, rna-seq
- GSE328026 MiT Fusions, TSC1–TSC2 Divergence, and Stem-like Programs Reveal Distinct Origins and Vulnerabilities in PEComa [RNA-seq] 69 samples shares distinct, rna-seq
- GSE274999 Clinical response to azacitidine in MDS is associated with distinct DNA methylation changes in HSPCs [RNA-Seq] 52 samples shares distinct, rna-seq
- GSE309967 Immunometabolic Endotypes Define Distinct Clinical Trajectories in Type 2 Diabetes 48 samples shares trajectories, distinct
- GSE246215 Cross-tissue human fibroblast atlas reveals myofibroblast subtypes with distinct roles in immune modulation [scRNA-seq] 38 samples shares distinct, rna-seq
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.