JACS AuMolecular BiologyPeer-reviewed journal article
CG-SLENP: A chemical genetics strategy to selectively label existing proteins and newly synthesized proteins
Jian WangiD, Bo ChaoiD, Jake Piesner, Felice D. KellyiD, Stefanie KaechiD, Xiangshu XiaoiD, Bingbing X. LiiD
- Citations
- 3
- FWCI
- 0.43
- Field percentile
- 46th percentile
Abstract
Protein synthesis and subsequent delivery to the target locations in cells are essential for their proper functions. Methods to label and distinguish newly synthesized proteins from existing ones are critical to assess their differential properties, but such methods are lacking. We describe the first chemical genetics-based approach for selective labeling of existing and newly synthesized proteins that we termed as CG-SLENP. Using HaloTag in-frame fusion with lamin A (LA), we demonstrate that the two pools of proteins can be selectively labeled using CG-SLENP in living cells. We further employ our recently developed selective small molecule ligand LBL1 for LA to probe the potential differences between newly synthesized and existing LA. Our results show that LBL1 can differentially modulate these two pools of LA. These results indicate that the assembly states of newly synthesized LA are distinct from existing LA in living cells. The CG-SLENP method is potentially generalizable to study any cellular proteins. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=75 SRC="FIGDIR/small/565346v1_ufig1.gif" ALT="Figure 1"> View larger version (30K): org.highwire.dtl.DTLVardef@d18268org.highwire.dtl.DTLVardef@c8b9ddorg.highwire.dtl.DTLVardef@226bf5org.highwire.dtl.DTLVardef@1dda80c_HPS_FORMAT_FIGEXP M_FIG C_FIG
- assay: proteomics
- research focus: protein structure prediction
- research focus: drug response / drug discovery
- approach: experimental assay
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