Genomics

Dataset Information

0

Cell-type-specific gene expression profiling using ribosome affinity purification


ABSTRACT: Post-transcriptional regulation including mRNA binding to ribosomes plays an important role in determining cell-type-specific gene expression patterns. Here, we applied an approach that profiles cell-type-specific mRNAs. The Translating Ribosome Affinity Purification method (TRAP; Heiman et al., Cell, 2008 and Doyle et al., Cell, 2008) was developed in mice and has been combined with the UAS/Gal4 system in Drosophila (Thomas et al., PLoS ONE, 2012). TRAP is a powerful method to find cell-type-specific differences at the level of the 'translatome' (Dougherty, Schmidt, Nakajima, & Heintz, Nucleic Acids Research, 2010). In parallel to published efforts, we developed and implemented the method for the fly and compared distinct head cell types and identified cell-type-specific transcript classes with neuronal (e.g. receptor-, neuropeptide- or hormone activity) or glial function (e.g. transporter activity). Neuronal TRAP genes are over-represented in the brain, larval CNS and thoracico-abdominal ganglion (Chintapalli, Wang, & Dow, Nature Genetics, 2007). Using cell-type-to-cell-type comparisons (e.g. neurons vs. glia), instead of a given cell population to the total (e.g. neurons vs. head), the differences could be identified with greater resolution. TRAP uncovered more neuronal genes compared to neuronal RNA polymerase II ChIP-seq data (Schauer et al., Cell Reports, 2013). Thus, TRAP data confirm the importance of post-transcriptional regulation in defining cell identity. TRAP is one of the best methods to reveal differential "omics" data among distinct cell types by profiling ribosome-bound mRNAs. TRAP is a promising tool to reveal cell-type-specific transcriptional and translational changes in a perturbed environment.

ORGANISM(S): Drosophila melanogaster

PROVIDER: GSE89993 | GEO | 2017/02/01

SECONDARY ACCESSION(S): PRJNA354320

REPOSITORIES: GEO

Similar Datasets

2014-09-10 | GSE60532 | GEO
2018-12-26 | GSE114199 | GEO
2022-03-21 | GSE192785 | GEO
2014-09-10 | E-GEOD-60532 | biostudies-arrayexpress
2009-09-29 | GSE14912 | GEO
2015-04-02 | GSE52629 | GEO
2019-12-19 | GSE124592 | GEO
2023-04-26 | GSE212287 | GEO
2012-06-13 | GSE36394 | GEO
2019-06-03 | PXD003859 | Pride