Workshop in Biostatistics

M112 Alway Building, Medical Center

(next to the Dean's courtyard)

DATE: April 27, 2017
TIME: 1:30 - 2:50 pm
TITLE: Identify monolayer-integrated proteins from a proteomic dataset by Dirichlet mixture models
SPEAKERS:

Camille Pataki
Ph.D. Candidate, Biochemistry
Junyang Qian
Ph.D. Candidate, Statistics

Collaborators:
Junyang Qian, Ron Kopito, Bradley Efron, and Trevor Hastie

 

Abstract:

Monolayer-integrated proteins (MIPs) could exist in any membrane of the cell, but available bioinformatics tools only identify transmembrane protein domains. To better understand the types of proteins that embed into a single leaflet of biological membranes we identified the lipid droplet (LD) monolayer-integrated proteome (MIP-ome). LDs are cytoplasmic organelles that have a reservoir of neutral lipids surrounded by a phospholipid monolayer membrane. Any protein embedded into the surface of the LD would be a MIP. Here we describe an approach that combines cutting edge proteomics with statistical modeling to identify a comprehensive set of LD-associated MIPs.

Suggested readings:

Kory, N., Farese, R.V., Walther, T.C.  Targeting Fat: Mechanisms of Protein Localization to Lipid Droplets. Trends in Cell Biology, Vol. 26, Issue 7, p535-546, July 2016.