GEO series

Comprehensive single cell transcriptional profiling of a multicellular organism by combinatorial indexing

GSE98561 Mus musculus; Caenorhabditis elegans; Homo sapiens Expression profiling by high throughput sequencing 10 samples Submitted 2017/08/17 Platform GPL19757Platform GPL19969Platform GPL23456Platform GPL18573Platform GPL19415

Summary

We developed a combinatorial indexing strategy to profile the transcriptomes of large numbers of single cells or nuclei (Single cell Combinatorial Indexing RNA-seq or sci-RNA-seq). We applied sci-RNA-seq to profile nearly 50,000 cells from C. elegans at the L2 stage, effectively ~56-fold “shotgun cellular coverage” of its somatic cell composition.

This dataset

Open GSE98561 in finder → Find more RNA-seq datasets →

Download

Direct links to NCBI, no account and no request form: the whole study as GSE98561_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 10 samples. Raw sequencing reads are also available from ENA.

Whole study · RAW.tar ↓ Series matrix ↓ All supplementary files ↗ Raw reads on ENA ↗

Also filed as BioProject PRJNA385514 and SRA study SRP106481. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 28818938) ↗

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 10 more — browse all 10 samples with per-sample file links →

Share this dataset

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.