In silico Transcriptome (iTranscriptome)

Geo-seq: 3D Transcriptome of the mouse embryo at gastrulation

About E5.5 embryo


Sample preparation for this stage.

Features of iTranscriptome


The sequencing data with spatial information cover over 20,000 genes that are expressed in the epiblast of the gastrulating mouse embryo. The data are collated into a high-resolution 3D transcriptome - the iTransctiptome. The spatially rendered gene expression data are displayed in the 2D format (the corn plot). The database can be mined to show gene's expresson pattern, identify genes showing similar spatial pattern of expression and expressing in one of the 20 stereotypic patterns depicted in the in-built templates and calculate the corraliton between all samples in reference embryo and query trancriptome data.

Citation


Guangdun Peng, Shengbao Suo, Guizhong Cui, Fang Yu, Ran Wang, Jun Chen, Shirui Chen, Zhiwen Liu, Guoyu Chen, Yun Qian, Patrick P. L. Tam, Jing-Dong J. Han & Naihe Jing. Molecular architecture of lineage allocation and tissue organization in early mouse embryo. Nature, 2019 August. 1-5.572(7770):528-532

Guangdun Peng, Shengbao Suo, Jun Chen, Weiyang Chen, Chang Liu, Fang Yu, Ran Wang, Shirui Chen, Na Sun, Guizhong Cui, Lu Song, Patrick P.L. Tam, Jing-Dong J. Han, Naihe Jing. Spatial Transcriptome for the Molecular Annotation of Lineage Fates and Cell Identity in Mid-gastrula Mouse Embryo. Developmental Cell, 2016 Mar. 36: 681-697.

Jun Chen, Shengbao Suo, Patrick PL Tam, Jing-Dong J. Han, Guangdun Peng, Naihe Jing. Spatial transcriptomic analysis of cryosectioned tissue samples with Geo-seq. Nature Protocols, 2017 Feb. 12: 566-580.

Key features

- High resolution - More sensitive
- 2D & 3D visualization - Searchable web service
   

Access E5.5 database

Pattern search by gene
Query and display the expression pattern of a query gene in either a corn plot or a 3D embryo model
Gene search by gene
Search for genes that share similar expression patterns of a query gene.
Gene search by pattern
Search for genes using a query pattern (There are 5 predefined patterns).
Gene activity score
Calculate the enrichment score for a query gene list based on ranked gene expression of each sample.