volume 16 issue 11 pages 3989-3999

MS/MS-Free Protein Identification in Complex Mixtures Using Multiple Enzymes with Complementary Specificity

Publication typeJournal Article
Publication date2017-09-28
scimago Q1
wos Q2
SJR1.139
CiteScore7.3
Impact factor3.6
ISSN15353893, 15353907
General Chemistry
Biochemistry
Abstract
In this work, we present the results of evaluation of a workflow that employs a multienzyme digestion strategy for MS1-based protein identification in "shotgun" proteomic applications. In the proposed strategy, several cleavage reagents of different specificity were used for parallel digestion of the protein sample followed by MS1 and retention time (RT) based search. Proof of principle for the proposed strategy was performed using experimental data obtained for the annotated 48-protein standard. By using the developed approach, up to 90% of proteins from the standard were unambiguously identified. The approach was further applied to HeLa proteome data. For the sample of this complexity, the proposed MS1-only strategy determined correctly up to 34% of all proteins identified using standard MS/MS-based database search. It was also found that the results of MS1-only search were independent of the chromatographic gradient time in a wide range of gradients from 15-120 min. Potentially, rapid MS1-only proteome characterization can be an alternative or complementary to the MS/MS-based "shotgun" analyses in the studies, in which the experimental time is more important than the depth of the proteome coverage.
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Ivanov M. et al. MS/MS-Free Protein Identification in Complex Mixtures Using Multiple Enzymes with Complementary Specificity // Journal of Proteome Research. 2017. Vol. 16. No. 11. pp. 3989-3999.
GOST all authors (up to 50) Copy
Ivanov M., Tarasova I. A., Levitsky L., Solovyeva E. M., Pridatchenko M. L., Lobas A. A., Bubis J. A., Gorshkov M. V. MS/MS-Free Protein Identification in Complex Mixtures Using Multiple Enzymes with Complementary Specificity // Journal of Proteome Research. 2017. Vol. 16. No. 11. pp. 3989-3999.
RIS |
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RIS Copy
TY - JOUR
DO - 10.1021/acs.jproteome.7b00365
UR - https://doi.org/10.1021/acs.jproteome.7b00365
TI - MS/MS-Free Protein Identification in Complex Mixtures Using Multiple Enzymes with Complementary Specificity
T2 - Journal of Proteome Research
AU - Ivanov, Mark
AU - Tarasova, Irina A
AU - Levitsky, Lev
AU - Solovyeva, Elizaveta M.
AU - Pridatchenko, Marina L
AU - Lobas, Anna A.
AU - Bubis, Julia A
AU - Gorshkov, Mikhail V.
PY - 2017
DA - 2017/09/28
PB - American Chemical Society (ACS)
SP - 3989-3999
IS - 11
VL - 16
PMID - 28905631
SN - 1535-3893
SN - 1535-3907
ER -
BibTex |
Cite this
BibTex (up to 50 authors) Copy
@article{2017_Ivanov,
author = {Mark Ivanov and Irina A Tarasova and Lev Levitsky and Elizaveta M. Solovyeva and Marina L Pridatchenko and Anna A. Lobas and Julia A Bubis and Mikhail V. Gorshkov},
title = {MS/MS-Free Protein Identification in Complex Mixtures Using Multiple Enzymes with Complementary Specificity},
journal = {Journal of Proteome Research},
year = {2017},
volume = {16},
publisher = {American Chemical Society (ACS)},
month = {sep},
url = {https://doi.org/10.1021/acs.jproteome.7b00365},
number = {11},
pages = {3989--3999},
doi = {10.1021/acs.jproteome.7b00365}
}
MLA
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MLA Copy
Ivanov, Mark, et al. “MS/MS-Free Protein Identification in Complex Mixtures Using Multiple Enzymes with Complementary Specificity.” Journal of Proteome Research, vol. 16, no. 11, Sep. 2017, pp. 3989-3999. https://doi.org/10.1021/acs.jproteome.7b00365.