Literature DB >> 26867742

A Method for Label-Free, Differential Top-Down Proteomics.

Ioanna Ntai1,2,3, Timothy K Toby1,2,3, Richard D LeDuc1,2,3, Neil L Kelleher4,5,6.   

Abstract

Biomarker discovery in the translational research has heavily relied on labeled and label-free quantitative bottom-up proteomics. Here, we describe a new approach to biomarker studies that utilizes high-throughput top-down proteomics and is the first to offer whole protein characterization and relative quantitation within the same experiment. Using yeast as a model, we report procedures for a label-free approach to quantify the relative abundance of intact proteins ranging from 0 to 30 kDa in two different states. In this chapter, we describe the integrated methodology for the large-scale profiling and quantitation of the intact proteome by liquid chromatography-mass spectrometry (LC-MS) without the need for metabolic or chemical labeling. This recent advance for quantitative top-down proteomics is best implemented with a robust and highly controlled sample preparation workflow before data acquisition on a high-resolution mass spectrometer, and the application of a hierarchical linear statistical model to account for the multiple levels of variance contained in quantitative proteomic comparisons of samples for basic and clinical research.

Entities:  

Keywords:  Differential expression; Label-free quantitation; Proteoform; Quantitative mass spectrometry; Top-down proteomics; Top-down quantitation

Mesh:

Substances:

Year:  2016        PMID: 26867742      PMCID: PMC4777307          DOI: 10.1007/978-1-4939-3524-6_8

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  18 in total

1.  Proteoform: a single term describing protein complexity.

Authors:  Lloyd M Smith; Neil L Kelleher
Journal:  Nat Methods       Date:  2013-03       Impact factor: 28.547

2.  Evaluation of the compact high-field orbitrap for top-down proteomics of human cells.

Authors:  Dorothy R Ahlf; Philip D Compton; John C Tran; Bryan P Early; Paul M Thomas; Neil L Kelleher
Journal:  J Proteome Res       Date:  2012-07-13       Impact factor: 4.466

3.  Augmented phosphorylation of cardiac troponin I in hypertensive heart failure.

Authors:  Xintong Dong; C Amelia Sumandea; Yi-Chen Chen; Mary L Garcia-Cazarin; Jiang Zhang; C William Balke; Marius P Sumandea; Ying Ge
Journal:  J Biol Chem       Date:  2011-11-03       Impact factor: 5.157

4.  HDA1 and RPD3 are members of distinct yeast histone deacetylase complexes that regulate silencing and transcription.

Authors:  S E Rundlett; A A Carmen; R Kobayashi; S Bavykin; B M Turner; M Grunstein
Journal:  Proc Natl Acad Sci U S A       Date:  1996-12-10       Impact factor: 11.205

5.  Robust analysis of the yeast proteome under 50 kDa by molecular-mass-based fractionation and top-down mass spectrometry.

Authors:  John F Kellie; Adam D Catherman; Kenneth R Durbin; John C Tran; Jeremiah D Tipton; Jeremy L Norris; Charles E Witkowski; Paul M Thomas; Neil L Kelleher
Journal:  Anal Chem       Date:  2011-12-14       Impact factor: 6.986

6.  A method for the quantitative recovery of protein in dilute solution in the presence of detergents and lipids.

Authors:  D Wessel; U I Flügge
Journal:  Anal Biochem       Date:  1984-04       Impact factor: 3.365

7.  Top-down proteomics reveals a unique protein S-thiolation switch in Salmonella Typhimurium in response to infection-like conditions.

Authors:  Charles Ansong; Si Wu; Da Meng; Xiaowen Liu; Heather M Brewer; Brooke L Deatherage Kaiser; Ernesto S Nakayasu; John R Cort; Pavel Pevzner; Richard D Smith; Fred Heffron; Joshua N Adkins; Ljiljana Pasa-Tolic
Journal:  Proc Natl Acad Sci U S A       Date:  2013-05-29       Impact factor: 11.205

8.  Top down proteomics of human membrane proteins from enriched mitochondrial fractions.

Authors:  Adam D Catherman; Mingxi Li; John C Tran; Kenneth R Durbin; Philip D Compton; Bryan P Early; Paul M Thomas; Neil L Kelleher
Journal:  Anal Chem       Date:  2013-01-23       Impact factor: 6.986

9.  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

10.  Applying label-free quantitation to top down proteomics.

Authors:  Ioanna Ntai; Kyunggon Kim; Ryan T Fellers; Owen S Skinner; Archer D Smith; Bryan P Early; John P Savaryn; Richard D LeDuc; Paul M Thomas; Neil L Kelleher
Journal:  Anal Chem       Date:  2014-05-07       Impact factor: 6.986

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  13 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.  Multidimensional Top-Down Proteomics of Brain-Region-Specific Mouse Brain Proteoforms Responsive to Cocaine and Estradiol.

Authors:  Hae-Min Park; Rosalba Satta; Roderick G Davis; Young Ah Goo; Richard D LeDuc; Ryan T Fellers; Joseph B Greer; Elena V Romanova; Stanislav S Rubakhin; Rex Tai; Paul M Thomas; Jonathan V Sweedler; Neil L Kelleher; Steven M Patrie; Amy W Lasek
Journal:  J Proteome Res       Date:  2019-10-02       Impact factor: 4.466

3.  Quantitative Mass Spectrometry-Based Proteomics: An Overview.

Authors:  Svitlana Rozanova; Katalin Barkovits; Miroslav Nikolov; Carla Schmidt; Henning Urlaub; Katrin Marcus
Journal:  Methods Mol Biol       Date:  2021

4.  Accurate Estimation of Context-Dependent False Discovery Rates in Top-Down Proteomics.

Authors:  Richard D LeDuc; Ryan T Fellers; Bryan P Early; Joseph B Greer; Daniel P Shams; Paul M Thomas; Neil L Kelleher
Journal:  Mol Cell Proteomics       Date:  2019-01-15       Impact factor: 5.911

5.  High-Throughput Quantitative Top-Down Proteomics: Histone H4.

Authors:  Matthew V Holt; Tao Wang; Nicolas L Young
Journal:  J Am Soc Mass Spectrom       Date:  2019-11-18       Impact factor: 3.109

6.  Proteoforms in Peripheral Blood Mononuclear Cells as Novel Rejection Biomarkers in Liver Transplant Recipients.

Authors:  T K Toby; M Abecassis; K Kim; P M Thomas; R T Fellers; R D LeDuc; N L Kelleher; J Demetris; J Levitsky
Journal:  Am J Transplant       Date:  2017-06-27       Impact factor: 8.086

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

8.  Elucidating Proteoform Dynamics Underlying the Senescence Associated Secretory Phenotype.

Authors:  Peter F Doubleday; Luca Fornelli; Neil L Kelleher
Journal:  J Proteome Res       Date:  2020-01-28       Impact factor: 4.466

9.  The vermiform appendix impacts the risk of developing Parkinson's disease.

Authors:  Bryan A Killinger; Zachary Madaj; Jacek W Sikora; Nolwen Rey; Alec J Haas; Yamini Vepa; Daniel Lindqvist; Honglei Chen; Paul M Thomas; Patrik Brundin; Lena Brundin; Viviane Labrie
Journal:  Sci Transl Med       Date:  2018-10-31       Impact factor: 17.956

10.  Intact protein mass spectrometry reveals intraspecies variations in venom composition of a local population of Vipera kaznakovi in Northeastern Turkey.

Authors:  Daniel Petras; Benjamin-Florian Hempel; Bayram Göçmen; Mert Karis; Gareth Whiteley; Simon C Wagstaff; Paul Heiss; Nicholas R Casewell; Ayse Nalbantsoy; Roderich D Süssmuth
Journal:  J Proteomics       Date:  2019-02-11       Impact factor: 3.855

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