Literature DB >> 26795204

Quantitation and Identification of Thousands of Human Proteoforms below 30 kDa.

Kenneth R Durbin1, Luca Fornelli1, Ryan T Fellers1, Peter F Doubleday1, Masashi Narita2, Neil L Kelleher1.   

Abstract

Top-down proteomics is capable of identifying and quantitating unique proteoforms through the analysis of intact proteins. We extended the coverage of the label-free technique, achieving differential analysis of whole proteins <30 kDa from the proteomes of growing and senescent human fibroblasts. By integrating improved control software with more instrument time allocated for quantitation of intact ions, we were able to collect protein data between the two cell states, confidently comparing 1577 proteoform levels. To then identify and characterize proteoforms, our advanced acquisition software, named Autopilot, employed enhanced identification efficiency in identifying 1180 unique Swiss-Prot accession numbers at 1% false-discovery rate. This coverage of the low mass proteome is equivalent to the largest previously reported but was accomplished in 23% of the total acquisition time. By maximizing both the number of quantified proteoforms and their identification rate in an integrated software environment, this work significantly advances proteoform-resolved analyses of complex systems.

Entities:  

Keywords:  Fourier transform mass spectrometry; GELFrEE; cellular senescence; differential mass spectrometry; label-free; proteoform; quantitative proteomics; top-down proteomics

Mesh:

Substances:

Year:  2016        PMID: 26795204      PMCID: PMC4794255          DOI: 10.1021/acs.jproteome.5b00997

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  39 in total

1.  Targeted data extraction of the MS/MS spectra generated by data-independent acquisition: a new concept for consistent and accurate proteome analysis.

Authors:  Ludovic C Gillet; Pedro Navarro; Stephen Tate; Hannes Röst; Nathalie Selevsek; Lukas Reiter; Ron Bonner; Ruedi Aebersold
Journal:  Mol Cell Proteomics       Date:  2012-01-18       Impact factor: 5.911

2.  Quantitative analysis of intact apolipoproteins in human HDL by top-down differential mass spectrometry.

Authors:  Matthew T Mazur; Helene L Cardasis; Daniel S Spellman; Andy Liaw; Nathan A Yates; Ronald C Hendrickson
Journal:  Proc Natl Acad Sci U S A       Date:  2010-04-13       Impact factor: 11.205

3.  Gel-eluted liquid fraction entrapment electrophoresis: an electrophoretic method for broad molecular weight range proteome separation.

Authors:  John C Tran; Alan A Doucette
Journal:  Anal Chem       Date:  2008-01-30       Impact factor: 6.986

Review 4.  Comprehensive analysis of protein modifications by top-down mass spectrometry.

Authors:  Han Zhang; Ying Ge
Journal:  Circ Cardiovasc Genet       Date:  2011-12

5.  Ink4a/Arf and oncogene-induced senescence prevent tumor progression during alternative colorectal tumorigenesis.

Authors:  Moritz Bennecke; Lydia Kriegl; Monther Bajbouj; Kristin Retzlaff; Sylvie Robine; Andreas Jung; Melek C Arkan; Thomas Kirchner; Florian R Greten
Journal:  Cancer Cell       Date:  2010-08-09       Impact factor: 31.743

Review 6.  Transcriptional regulation of cellular senescence.

Authors:  F Lanigan; J G Geraghty; A P Bracken
Journal:  Oncogene       Date:  2011-03-07       Impact factor: 9.867

Review 7.  HMG modifications and nuclear function.

Authors:  Qingchun Zhang; Yinsheng Wang
Journal:  Biochim Biophys Acta       Date:  2010 Jan-Feb

8.  Protocols to detect senescence-associated beta-galactosidase (SA-betagal) activity, a biomarker of senescent cells in culture and in vivo.

Authors:  Florence Debacq-Chainiaux; Jorge D Erusalimsky; Judith Campisi; Olivier Toussaint
Journal:  Nat Protoc       Date:  2009       Impact factor: 13.491

Review 9.  Many roads lead to oncogene-induced senescence.

Authors:  S Courtois-Cox; S L Jones; K Cichowski
Journal:  Oncogene       Date:  2008-01-14       Impact factor: 9.867

10.  Mapping intact protein isoforms in discovery mode using top-down proteomics.

Authors:  John C Tran; Leonid Zamdborg; Dorothy R Ahlf; Ji Eun Lee; Adam D Catherman; Kenneth R Durbin; Jeremiah D Tipton; Adaikkalam Vellaichamy; John F Kellie; Mingxi Li; Cong Wu; Steve M M Sweet; Bryan P Early; Nertila Siuti; Richard D LeDuc; Philip D Compton; Paul M Thomas; Neil L Kelleher
Journal:  Nature       Date:  2011-10-30       Impact factor: 49.962

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  44 in total

1.  A comprehensive pipeline for translational top-down proteomics from a single blood draw.

Authors:  Timothy K Toby; Luca Fornelli; Kristina Srzentić; Caroline J DeHart; Josh Levitsky; John Friedewald; Neil L Kelleher
Journal:  Nat Protoc       Date:  2019-01       Impact factor: 13.491

2.  Advancing Top-down Analysis of the Human Proteome Using a Benchtop Quadrupole-Orbitrap Mass Spectrometer.

Authors:  Luca Fornelli; Kenneth R Durbin; Ryan T Fellers; Bryan P Early; Joseph B Greer; Richard D LeDuc; Philip D Compton; Neil L Kelleher
Journal:  J Proteome Res       Date:  2016-12-02       Impact factor: 4.466

3.  The Value of Activated Ion Electron Transfer Dissociation for High-Throughput Top-Down Characterization of Intact Proteins.

Authors:  Nicholas M Riley; Jacek W Sikora; Henrique S Seckler; Joseph B Greer; Ryan T Fellers; Richard D LeDuc; Michael S Westphall; Paul M Thomas; Neil L Kelleher; Joshua J Coon
Journal:  Anal Chem       Date:  2018-07-05       Impact factor: 6.986

4.  Simultaneous Quantification of Protein Expression and Modifications by Top-down Targeted Proteomics: A Case of the Sarcomeric Subproteome.

Authors:  Ziqing Lin; Liming Wei; Wenxuan Cai; Yanlong Zhu; Trisha Tucholski; Stanford D Mitchell; Wei Guo; Stephen P Ford; Gary M Diffee; Ying Ge
Journal:  Mol Cell Proteomics       Date:  2018-12-27       Impact factor: 5.911

5.  Top-down proteomics: Where we are, where we are going?

Authors:  Luca Fornelli; Timothy K Toby; Luis F Schachner; Peter F Doubleday; Kristina Srzentić; Caroline J DeHart; Neil L Kelleher
Journal:  J Proteomics       Date:  2017-02-07       Impact factor: 4.044

6.  Evaluation of Spectral Counting for Relative Quantitation of Proteoforms in Top-Down Proteomics.

Authors:  Lucía Geis-Asteggiante; Suzanne Ostrand-Rosenberg; Catherine Fenselau; Nathan J Edwards
Journal:  Anal Chem       Date:  2016-10-31       Impact factor: 6.986

Review 7.  Identification and Quantification of Proteoforms by Mass Spectrometry.

Authors:  Leah V Schaffer; Robert J Millikin; Rachel M Miller; Lissa C Anderson; Ryan T Fellers; Ying Ge; Neil L Kelleher; Richard D LeDuc; Xiaowen Liu; Samuel H Payne; Liangliang Sun; Paul M Thomas; Trisha Tucholski; Zhe Wang; Si Wu; Zhijie Wu; Dahang Yu; Michael R Shortreed; Lloyd M Smith
Journal:  Proteomics       Date:  2019-05       Impact factor: 3.984

Review 8.  Top-down Proteomics: Technology Advancements and Applications to Heart Diseases.

Authors:  Wenxuan Cai; Trisha M Tucholski; Zachery R Gregorich; Ying Ge
Journal:  Expert Rev Proteomics       Date:  2016-07-26       Impact factor: 3.940

9.  Constructing Human Proteoform Families Using Intact-Mass and Top-Down Proteomics with a Multi-Protease Global Post-Translational Modification Discovery Database.

Authors:  Yunxiang Dai; Katherine E Buxton; Leah V Schaffer; Rachel M Miller; Robert J Millikin; Mark Scalf; Brian L Frey; Michael R Shortreed; Lloyd M Smith
Journal:  J Proteome Res       Date:  2019-09-18       Impact factor: 4.466

Review 10.  Top-Down Proteomics: Ready for Prime Time?

Authors:  Bifan Chen; Kyle A Brown; Ziqing Lin; Ying Ge
Journal:  Anal Chem       Date:  2017-12-15       Impact factor: 6.986

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