Literature DB >> 29550704

The promise of targeted proteomics for quantitative network biology.

Masaki Matsumoto1, Keiichi I Nakayama2.   

Abstract

Proteomics is a powerful tool for obtaining information on a large number of proteins with regard to their expression levels, interactions with other molecules, and posttranslational modifications. Whereas nontargeted, discovery proteomics uncovers differences in the proteomic landscape under different conditions, targeted proteomics has been developed to overcome the limitations of this approach with regard to quantitation. In addition to technical advances in instruments and informatics tools, the advent of the synthetic proteome composed of synthetic peptides or recombinant proteins has advanced the adoption of targeted proteomics across a wide range of research fields. Targeted proteomics can now be applied to measurement of the dynamics of any proteins of interest under a variety of conditions as well as to estimation of the absolute abundance or stoichiometry of proteins in a given network. Multiplexed targeted proteomics assays of high reproducibility and accuracy can provide insight at the quantitative level into entire networks that govern biological phenomena or diseases. Such assays will establish a new paradigm for data-driven science.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2018        PMID: 29550704     DOI: 10.1016/j.copbio.2018.02.014

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  6 in total

1.  Quantitative assay of targeted proteome in tomato trichome glandular cells using a large-scale selected reaction monitoring strategy.

Authors:  Ayako Takemori; Taiken Nakashima; Hisashi Ômura; Yuki Tanaka; Keisuke Nakata; Hiroshi Nonami; Nobuaki Takemori
Journal:  Plant Methods       Date:  2019-04-24       Impact factor: 4.993

2.  iTRAQ-based quantitative proteomic analysis reveals dynamic changes during daylily flower senescence.

Authors:  Guangying Ma; Xiaohua Shi; Qingcheng Zou; Danqing Tian; Xia An; Kaiyuan Zhu
Journal:  Planta       Date:  2018-06-26       Impact factor: 4.116

Review 3.  Mass spectrometry-based microbiological testing for blood stream infection.

Authors:  Fumio Nomura; Sachio Tsuchida; Syota Murata; Mamoru Satoh; Kazuyuki Matsushita
Journal:  Clin Proteomics       Date:  2020-05-13       Impact factor: 3.988

4.  Stat4 rs7574865 polymorphism promotes the occurrence and progression of hepatocellular carcinoma via the Stat4/CYP2E1/FGL2 pathway.

Authors:  Caie Wang; Na Gao; Lukui Yang; Yuanyuan Guo; Yan Fang; Tong Wang; Chen Xu; Gui Fang Li; Jun Zhou; Yunfei Zhang; Qiang Wen; Hailing Qiao
Journal:  Cell Death Dis       Date:  2022-02-08       Impact factor: 9.685

5.  Cathepsin F and Fibulin-1 as novel diagnostic biomarkers for brain metastasis of non-small cell lung cancer.

Authors:  Song Wei; Wenwen Liu; Mingxin Xu; Huamin Qin; Chang Liu; Rui Zhang; Sihai Zhou; Encheng Li; Zhiyu Liu; Qi Wang
Journal:  Br J Cancer       Date:  2022-02-25       Impact factor: 9.075

6.  The proteomics of roadside hawk (Rupornis magnirostris), broad-snouted caiman (Caiman latirostris) and loggerhead sea turtle (Caretta caretta) tears.

Authors:  A C Raposo; C B Lebrilla; R W Portela; E Goonatilleke; F A Dórea Neto; A P Oriá
Journal:  BMC Vet Res       Date:  2020-08-07       Impact factor: 2.741

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.