Literature DB >> 23307342

The challenge of the proteome dynamic range and its implications for in-depth proteomics.

Roman A Zubarev1.   

Abstract

The dynamic range of the cellular proteome approaches seven orders of magnitude-from one copy per cell to ten million copies per cell. Since a proteome's abundance distribution represents a nearly symmetric bell-shape curve on the logarithmic copy number scale, detection of half of the expressed cellular proteome, i.e. approximately 5000 proteins, should be a relatively straightforward task with modern mass spectrometric instrumentation that exhibits four orders of magnitude of the dynamic range, while deeper proteome analysis should be progressively more difficult. Indeed, metaanalysis of 15 recent papers that claim detection of >5000 protein groups reveals that the half-proteome analyses currently requires ≈5 h of chromatographic separation, while deeper analyses yield on average ≤20 new proteins per hour of chromatographic gradient. Therefore, a typical proteomics experiment consists of a "high-content" part, with the detection rate of approximately 1000 proteins/h, and a "low-content" tail with much lower rate of discovery and respectively, lower cost efficiency. This result calls for disruptive innovation in deep proteomics analysis.
© 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Mesh:

Year:  2013        PMID: 23307342     DOI: 10.1002/pmic.201200451

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  55 in total

1.  Highly reproducible improved label-free quantitative analysis of cellular phosphoproteome by optimization of LC-MS/MS gradient and analytical column construction.

Authors:  Nagib Ahsan; Judson Belmont; Zhuo Chen; James G Clifton; Arthur R Salomon
Journal:  J Proteomics       Date:  2017-06-17       Impact factor: 4.044

2.  Rapid and deep human proteome analysis by single-dimension shotgun proteomics.

Authors:  Mohammad Pirmoradian; Harshavardhan Budamgunta; Konstantin Chingin; Bo Zhang; Juan Astorga-Wells; Roman A Zubarev
Journal:  Mol Cell Proteomics       Date:  2013-07-22       Impact factor: 5.911

3.  Multi-omics Evidence for Inheritance of Energy Pathways in Red Blood Cells.

Authors:  Erin M M Weisenhorn; Thomas J van T Erve; Nicholas M Riley; John R Hess; Thomas J Raife; Joshua J Coon
Journal:  Mol Cell Proteomics       Date:  2016-10-24       Impact factor: 5.911

4.  Benchtop-compatible sample processing workflow for proteome profiling of < 100 mammalian cells.

Authors:  Kerui Xu; Yiran Liang; Paul D Piehowski; Maowei Dou; Kaitlynn C Schwarz; Rui Zhao; Ryan L Sontag; Ronald J Moore; Ying Zhu; Ryan T Kelly
Journal:  Anal Bioanal Chem       Date:  2018-11-20       Impact factor: 4.142

5.  Comprehensive tracking of host cell proteins during monoclonal antibody purifications using mass spectrometry.

Authors:  Qingchun Zhang; Andrew M Goetze; Huanchun Cui; Jenna Wylie; Steve Trimble; Art Hewig; Gregory C Flynn
Journal:  MAbs       Date:  2014-02-11       Impact factor: 5.857

Review 6.  Post-genomics nanotechnology is gaining momentum: nanoproteomics and applications in life sciences.

Authors:  Firas H Kobeissy; Basri Gulbakan; Ali Alawieh; Pierre Karam; Zhiqun Zhang; Joy D Guingab-Cagmat; Stefania Mondello; Weihong Tan; John Anagli; Kevin Wang
Journal:  OMICS       Date:  2014-01-10

7.  Resilient protein co-expression network in male orbitofrontal cortex layer 2/3 during human aging.

Authors:  Mohan Pabba; Enzo Scifo; Fenika Kapadia; Yuliya S Nikolova; Tianzhou Ma; Naguib Mechawar; George C Tseng; Etienne Sibille
Journal:  Neurobiol Aging       Date:  2017-07-05       Impact factor: 4.673

8.  Single-molecule peptide fingerprinting.

Authors:  Jetty van Ginkel; Mike Filius; Malwina Szczepaniak; Pawel Tulinski; Anne S Meyer; Chirlmin Joo
Journal:  Proc Natl Acad Sci U S A       Date:  2018-03-12       Impact factor: 11.205

9.  GeLC-MS/MS analysis of complex protein mixtures.

Authors:  Monika Dzieciatkowska; Ryan Hill; Kirk C Hansen
Journal:  Methods Mol Biol       Date:  2014

10.  Sustained Molecular Pathology Across Episodes and Remission in Major Depressive Disorder.

Authors:  Enzo Scifo; Mohan Pabba; Fenika Kapadia; Tianzhou Ma; David A Lewis; George C Tseng; Etienne Sibille
Journal:  Biol Psychiatry       Date:  2017-08-18       Impact factor: 13.382

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