Mountain View
biomedical and healthCAre Data Discovery Index Ecosystem
help Advanced Search
Title: Global Deterministic and Stochastic Allelic Specific Gene Expression in Single Blastomeres of Mouse Early Embryos      
dateReleased:
12-31-2010
description:
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 SOLiDâ„¢ 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. 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 and to understand transcriptome complexity at the resolution of a single cell. Oocyte, Two-cell, Four-cell, and 8-cell stage embryos were recovered from MF1 females mated with MF1 male mice (Nagy et al. 2003). The zona pellucida was removed by treatment with acidic tyrode solution. The individual blastomeres were separated by gentle pipeting using a glass capillary. RNA-Seq from 24 single mouse blastomeres from oocytes, 2-cell, 4-cell and 8-cell stages.
privacy:
not applicable
aggregation:
instance of dataset
ID:
E-GEOD-22182
refinement:
raw
alternateIdentifiers:
22182
keywords:
functional genomics
dateModified:
04-03-2013
availability:
available
types:
gene expression
name:
Mus musculus
accessURL: https://www.ebi.ac.uk/arrayexpress/files/E-GEOD-22182/E-GEOD-22182.raw.1.zip
storedIn:
ArrayExpress
qualifier:
gzip compressed
format:
TXT
accessType:
download
authentication:
none
authorization:
none
accessURL: https://www.ebi.ac.uk/arrayexpress/files/E-GEOD-22182/E-GEOD-22182.processed.1.zip
storedIn:
ArrayExpress
qualifier:
gzip compressed
format:
TXT
accessType:
download
authentication:
none
authorization:
none
accessURL: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE22182
storedIn:
Gene Expression Omnibus
qualifier:
not compressed
format:
HTML
accessType:
landing page
primary:
true
authentication:
none
authorization:
none
abbreviation:
EBI
homePage: http://www.ebi.ac.uk/
ID:
SCR:004727
name:
European Bioinformatics Institute
homePage: https://www.ebi.ac.uk/arrayexpress/
ID:
SCR:002964
name:
ArrayExpress

Feedback?

If you are having problems using our tools, or if you would just like to send us some feedback, please post your questions on GitHub.