Literature DB >> 28267743

A large-scale targeted proteomics assay resource based on an in vitro human proteome.

Masaki Matsumoto1,2, Fumiko Matsuzaki1, Kiyotaka Oshikawa1, Naoki Goshima3, Masatoshi Mori3, Yoshifumi Kawamura3, Koji Ogawa3, Eriko Fukuda3, Hirokazu Nakatsumi1, Tohru Natsume3, Kazuhiko Fukui3, Katsuhisa Horimoto3, Takeshi Nagashima4, Ryo Funayama4, Keiko Nakayama4, Keiichi I Nakayama1,2.   

Abstract

Targeted proteomics approaches are of value for deep and accurate quantification of protein abundance. Extending such methods to quantify large numbers of proteins requires the construction of predefined targeted assays. We developed a targeted proteomics platform-in vitro proteome-assisted multiple reaction monitoring (MRM) for protein absolute quantification (iMPAQT)-by using >18,000 human recombinant proteins, thus enabling protein absolute quantification on a genome-wide scale. Our platform comprises experimentally confirmed MRM assays of mass tag (mTRAQ)-labeled peptides to allow for rapid and straightforward measurement of the absolute abundance of predefined sets of proteins by mass spectrometry. We applied iMPAQT to delineate the quantitative metabolic landscape of normal and transformed human fibroblasts. Oncogenic transformation gave rise to relatively small but global changes in metabolic pathways resulting in aerobic glycolysis (Warburg effect) and increased rates of macromolecule synthesis. iMPAQT should facilitate quantitative biology studies based on protein abundance measurements.

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Year:  2016        PMID: 28267743     DOI: 10.1038/nmeth.4116

Source DB:  PubMed          Journal:  Nat Methods        ISSN: 1548-7091            Impact factor:   28.547


  32 in total

1.  PHGDH as a Key Enzyme for Serine Biosynthesis in HIF2α-Targeting Therapy for Renal Cell Carcinoma.

Authors:  Hirofumi Yoshino; Nijiro Nohata; Kazutaka Miyamoto; Masaya Yonemori; Takashi Sakaguchi; Satoshi Sugita; Toshihiko Itesako; Satoshi Kofuji; Masayuki Nakagawa; Rajvir Dahiya; Hideki Enokida
Journal:  Cancer Res       Date:  2017-09-26       Impact factor: 12.701

2.  Impact of the Identification Strategy on the Reproducibility of the DDA and DIA Results.

Authors:  Carolina Fernández-Costa; Salvador Martínez-Bartolomé; Daniel B McClatchy; Anthony J Saviola; Nam-Kyung Yu; John R Yates
Journal:  J Proteome Res       Date:  2020-06-19       Impact factor: 4.466

Review 3.  Understanding metabolic adaptation by using bacterial laboratory evolution and trans-omics analysis.

Authors:  Takaaki Horinouchi; Chikara Furusawa
Journal:  Biophys Rev       Date:  2020-05-11

4.  Rapidly Assessing the Quality of Targeted Proteomics Experiments through Monitoring Stable-Isotope Labeled Standards.

Authors:  Bryson C Gibbons; Thomas L Fillmore; Yuqian Gao; Ronald J Moore; Tao Liu; Ernesto S Nakayasu; Thomas O Metz; Samuel H Payne
Journal:  J Proteome Res       Date:  2018-12-19       Impact factor: 4.466

5.  Identification of Salivary Biomarkers for Oral Cancer Detection with Untargeted and Targeted Quantitative Proteomics Approaches.

Authors:  Hao-Wei Chu; Kai-Ping Chang; Chia-Wei Hsu; Ian Yi-Feng Chang; Hao-Ping Liu; Yi-Ting Chen; Chih-Ching Wu
Journal:  Mol Cell Proteomics       Date:  2019-06-28       Impact factor: 5.911

6.  Amantadine and Rimantadine Inhibit Hepatitis A Virus Replication through the Induction of Autophagy.

Authors:  Reina Sasaki-Tanaka; Toshikatsu Shibata; Mitsuhiko Moriyama; Hiroaki Okamoto; Hirofumi Kogure; Tatsuo Kanda
Journal:  J Virol       Date:  2022-08-30       Impact factor: 6.549

Review 7.  Application of targeted mass spectrometry in bottom-up proteomics for systems biology research.

Authors:  Nathan P Manes; Aleksandra Nita-Lazar
Journal:  J Proteomics       Date:  2018-02-13       Impact factor: 4.044

8.  XCMS-MRM and METLIN-MRM: a cloud library and public resource for targeted analysis of small molecules.

Authors:  Xavier Domingo-Almenara; J Rafael Montenegro-Burke; Julijana Ivanisevic; Aurelien Thomas; Jonathan Sidibé; Tony Teav; Carlos Guijas; Aries E Aisporna; Duane Rinehart; Linh Hoang; Anders Nordström; María Gómez-Romero; Luke Whiley; Matthew R Lewis; Jeremy K Nicholson; H Paul Benton; Gary Siuzdak
Journal:  Nat Methods       Date:  2018-08-27       Impact factor: 28.547

Review 9.  Proteomics-based target identification of natural products affecting cancer metabolism.

Authors:  Makoto Muroi; Hiroyuki Osada
Journal:  J Antibiot (Tokyo)       Date:  2021-07-20       Impact factor: 2.649

Review 10.  Proteomic/transcriptomic analysis of erythropoiesis.

Authors:  Marjorie Brand; Jeffrey A Ranish
Journal:  Curr Opin Hematol       Date:  2021-05-01       Impact factor: 3.284

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