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MASS SPECTROMETRY

AND PROTEOMICS

International Conference on

J u n e 2 5 - 2 7 , 2 0 1 8 | D u b l i n , I r e l a n d

Journal of Systems Biology & Proteome Research

|

Volume 2

Page 16

Note:

D

e-novo

, full-length sequencing of unknown proteins such as antibodies or

constituents of metaproteomes remains a challenging problem. Traditional

‘bottom-up’ proteomics approaches use proteolytic digestion, LC-MS/MS and

database searching to elucidate peptide identities and their parent proteins.

Protein sequences absent from the database cannot be identified, and even

if present in the database, complete sequence coverage is rarely achieved

even for the most abundant proteins in the sample. To this aim we have

developed Database Independent Protein Sequencing (DiPS), a novel method

for unambiguous, rapid, database independent, full-length protein sequencing.

The method is based on non-enzymatic, semi-random cleavage of the protein

by microwave assisted acid hydrolysis (MAAH), LC-MS/MS analysis, peptide

de novo sequencing, extraction of peptide tags, and their assembly into a

consensus sequence using a novel algorithm named Peptide Tag Assembler

(pTA). The method, which was recently published, now also allows for

differentiation between the isobaric leucine and isoleucine residues, and was

successfully applied to a variety of proteins and clinically relevant antibodies.

Biography

Alon Savidor completed his PhD at 2008 from the

University of Tennessee and The Oak Ridge Na-

tional Laboratory at Tennessee, USA. He complet-

ed his post-doctorate fellowship at the Tel Aviv

University, Israel, at 2013, and since then he is a

staff scientist at the Nancy and Stephen Grand

Israel National Center for Personalized Medicine,

Weizmann Institute of Science, Israel.

alon.savidor@weizmann.ac.il

DATABASE INDEPENDENT PROTEIN

SEQUENCING (DIPS) ENABLES

FULL-LENGTH DE-NOVO PROTEIN

AND ANTIBODY SEQUENCE

DETERMINATION

Alon Savidor

Weizmann Institute of Science, Israel

Alon Savidor, J Syst Biol Proteome Res 2018, Volume 2