Gene expression profiles of cardiac neural crest cells during heart development
Single-cell RNA-seq · mouse · 294 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
- Organism
- Mus musculus (mouse)
- Samples
- 294 samples: 294 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.
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 GSE201417_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 PRJNA831669. 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 294 sample titles: 294 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.
- GSM6063130 C101, scRNA-seq
- GSM6063131 C103, scRNA-seq
- GSM6063132 C108, scRNA-seq
- GSM6063133 C110, scRNA-seq
- GSM6063134 C112, scRNA-seq
- GSM6063135 C116, scRNA-seq
- GSM6063136 C118, scRNA-seq
- GSM6063137 C119, scRNA-seq
- GSM6063138 C120, scRNA-seq
- GSM6063139 C121, scRNA-seq
- GSM6063140 C122, scRNA-seq
- GSM6063141 C124, scRNA-seq
- GSM6063142 C125, scRNA-seq
- GSM6063143 C126, scRNA-seq
- GSM6063144 C128, scRNA-seq
- GSM6063145 C129, scRNA-seq
- GSM6063146 C130, scRNA-seq
- GSM6063147 C131, scRNA-seq
- GSM6063148 C132, scRNA-seq
- GSM6063149 C133, scRNA-seq
- GSM6063150 C134, scRNA-seq
- GSM6063151 C135, scRNA-seq
- GSM6063152 C136, scRNA-seq
- GSM6063153 C139, scRNA-seq
- GSM6063154 C141, scRNA-seq
- GSM6063155 C142, scRNA-seq
- GSM6063156 C143, scRNA-seq
- GSM6063157 C144, scRNA-seq
- GSM6063158 C146, scRNA-seq
- GSM6063159 C147, scRNA-seq
- GSM6063160 C148, scRNA-seq
- GSM6063161 C150, scRNA-seq
- GSM6063162 C154, scRNA-seq
- GSM6063163 C155, scRNA-seq
- GSM6063164 C156, scRNA-seq
- GSM6063165 C157, scRNA-seq
- GSM6063166 C158, scRNA-seq
- GSM6063167 C161, scRNA-seq
- GSM6063168 C163, scRNA-seq
- GSM6063169 C164, scRNA-seq
+ 254 more — browse all 294 samples with per-sample file links →
- GSE305170 Maintenance of Fibroblast Identity During Cardiac Reprogramming and Heart Repair [RNA-seq] 18 samples shares cardiac, heart
- GSE267388 mRNA expression profiles in hearts from sepsis-induced myocardial dysfunction mouse modles and controls 10 samples shares profiles, heart
- GSE284404 Increased cardiac macrophages in Sorbs2-deficient hearts: revealing a potential role for macrophage in responding to embryonic myocardial abnormalities 35 samples shares cardiac, heart
- GSE39656 Braveheart is a long non-coding RNA necessary for cardiac lineage commitment 20 samples shares cardiac, heart
- GSE197341 Adult leptomeningeal vestigial neural crest-derived multipotent cells promote vascular repair after stroke. 17 samples shares neural, crest
- GSE307584 Aberrant Upregulation of Histamine N-Methyltransferase Exacerbates Pathological Cardiac Hypertrophy and Heart Failure via Disruption of SAM/Frizzled-2/ CaMKII Signaling Pathway [RNA-seq] 12 samples shares cardiac, heart
- GSE261367 FLASH proton radiotherapy mitigates inflammatory and fibrotic pathways and preserves cardiac function in a preclinical mouse model of radiation-induced heart disease 11 samples shares cardiac, heart
- GSE245987 Vascular endothelial S1PR2 aggravates cardiac ischemia/reperfusion injury through triggering mitochondrial dysfunctions and endothelial pyroptosis via RHO/ROCK1/DRP1/NLRP3 pathway [heart] 4 samples shares cardiac, heart
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.