GEO series

mRNA-Seq Whole Transcriptome Analysis of a Single Cell

GSE14605 Mus musculus (mouse) Single-cell RNA-seq 6 samples Submitted 2009/02/23 Platform GPL9318

At a glance

Single-cell RNA-seq · mouse · 6 samples

What it is: Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
Organism: Mus musculus (mouse)
Samples: 6 samples
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.

Summary (written by the submitters)

Here we modified a single cell whole transcriptome amplification method to make it capable of amplifying cDNAs as long as 3kb efficiently and unbiasedly. We combined this modified single cell cDNA amplification method with Applied Biosystems next generation sequencing SOLiD™ System to set up a single cell whole transcriptome assay. The modified amplification strategy allows us to amplify full-length cDNAs for most of the expressed genes.

Read the full summary ↓

We show that it is feasible to get digital gene expression profiles at single cell resolution. This allows us to ask fundamental biological questions that could not be addressed previously, especially in the early embryonic development field, and to understand transcriptome complexity at the resolution of a single cell.

This dataset

Open GSE14605 in finder → Find more mouse RNA-seq datasets →

Download · which file do I need?

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.

1 · Just have a look

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.

Series matrix ↓

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE14605_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓

3 · Start from the raw reads

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.

Raw reads on ENA ↗

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 PRJNA111725. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 19349980) ↗

Samples in this study

The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.

+ 6 more — browse all 6 samples with per-sample file links →

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Search all mouse RNA-seq datasets in GEO →

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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.