Trinh, LA; Chong-Morrison, V; Gavriouchkina, D; Hochgreb-Hagele, T; Senanayake, U; Fraser, SE; Sauka-Spengler, T; (2017) Biotagging of Specific Cell Populations in Zebrafish Reveals Gene Regulatory Logic Encoded in the Nuclear Transcriptome. Cell Reports , 19 (2) pp. 425-440. 10.1016/j.celrep.2017.03.045.

Preview	Text (Published article) 1-s2.0-S2211124717303911-main.pdf - Published Version Download (6MB) | Preview
Preview	Text (Supplementary file 1) 1-s2.0-S2211124717303911-mmc1.pdf Download (28MB) | Preview
	Spreadsheet (Supplementary file 2) 1-s2.0-S2211124717303911-mmc2.xlsx Download (246kB)

Abstract

Interrogation of gene regulatory circuits in complex organisms requires precise tools for the selection of individual cell types and robust methods for biochemical profiling of target proteins. We have developed a versatile, tissue-specific binary in vivo biotinylation system in zebrafish termed biotagging that uses genetically encoded components to biotinylate target proteins, enabling in-depth genome-wide analyses of their molecular interactions. Using tissue-specific drivers and cell-compartment-specific effector lines, we demonstrate the specificity of the biotagging toolkit at the biochemical, cellular, and transcriptional levels. We use biotagging to characterize the in vivo transcriptional landscape of migratory neural crest and myocardial cells in different cellular compartments (ribosomes and nucleus). These analyses reveal a comprehensive network of coding and non-coding RNAs and cis-regulatory modules, demonstrating that tissue-specific identity is embedded in the nuclear transcriptomes. By eliminating background inherent to complex embryonic environments, biotagging allows analyses of molecular interactions at high resolution.

Download activity - last month

Export as XMLJSONCSV

Download activity - last 12 months

Export as XMLJSONCSV

Downloads by country - last 12 months

Export as JSONXMLCSV

Archive Staff Only

View Item