Previous Page  21 / 26 Next Page
Information
Show Menu
Previous Page 21 / 26 Next Page
Page Background

Page 73

Notes:

Journal of Biotechnology & Biomaterials | ISSN: 2155-952X | Volume: 8

3

rd

World Biotechnology Congress

December 03-04, 2018 Sao Paulo, Brazil

Application of quantitative post translational modification proteomics and interactomics in plant biology

study

Ning Li

The Hong Kong University of Science and Technology, China

Q

uantitative and functional post-translational modification (PTM) proteomics and interactomics have emerged as powerful

omics approaches in studying cellular events in various model organisms. In this seminar, I intend to show several examples on

how to apply in planta metabolic labeling and

in vitro

chemical labeling-based (4C) quantitative PTM proteomic and interactomic

workflow (SILIA, SQUA-D and AQUIP) in investigation of cell signaling in the model plant

Arabidopsis

and its potential impact in

the plant cell biology research in general. To elucidate the molecular mechanism underlying plant hormone ethylene signaling in

Arabidopsis

on a number of plant responses, several well-known

Arabidopsis

ethylene response loss-of-function mutants (ctr1-1,

rcn1-1, ein2-5 and eil3eil1) were selected as target plant materials for both stable isotope metabolic labeling (SILIA) and

in vitro

dimethyl labeling (SQUA-D) for the PTM quantitation. The 4C quantitative proteomics and interactomics results clearly revealed that

there exist multiple PTM-mediated signaling pathways in

Arabidopsis

. This quantitative PTM proteomics was able to identify rapidly

phosphorylated proteins, such as TREPH1, MAP Kinase Kinases, CPKs, in response to 40 second of touch or 150 seconds of gravity

stimulation in

Arabidopsis.

The following reverse genetic and transgenic plant approaches in combination with cell biology studies

validated the biological functions of these key candidate phosphoproteins in these internal and external signals-mediated cellular

events and dramatic plant responses. These successful research results suggest that our PTM proteomic approach can be quantitative,

repeatable, accurate and versatile in addressing many important biological questions in life sciences.

boningli@ust.hk

J Biotechnol Biomater 2018, Volume: 8

DOI: 10.4172/2155-952X-C7-107