Literature DB >> 24004147

Immunodepletion plasma proteomics by tripleTOF 5600 and Orbitrap elite/LTQ-Orbitrap Velos/Q exactive mass spectrometers.

Kelly A Jones1, Phillip D Kim1, Bhavinkumar B Patel1, Steven G Kelsen2, Alan Braverman2, Derrick J Swinton3, Philip R Gafken4, Lisa A Jones4, William S Lane5, John M Neveu5, Hon-Chiu E Leung6, Scott A Shaffer7, John D Leszyk7, Bruce A Stanley8, Todd E Fox8, Anne Stanley8, Michael J Hall1, Heather Hampel9, Christopher D South9, Albert de la Chapelle9, Randall W Burt10, David A Jones10, Levy Kopelovich11, Anthony T Yeung1.   

Abstract

Plasma proteomic experiments performed rapidly and economically using several of the latest high-resolution mass spectrometers were compared. Four quantitative hyperfractionated plasma proteomics experiments were analyzed in replicates by two AB SCIEX TripleTOF 5600 and three Thermo Scientific Orbitrap (Elite/LTQ-Orbitrap Velos/Q Exactive) instruments. Each experiment compared two iTRAQ isobaric-labeled immunodepleted plasma proteomes, provided as 30 labeled peptide fractions, and 480 LC-MS/MS runs delivered >250 GB of data in 2 months. Several analysis algorithms were compared. At 1% false discovery rate, the relative comparative findings concluded that the Thermo Scientific Q Exactive Mass Spectrometer resulted in the highest number of identified proteins and unique sequences with iTRAQ quantitation. The confidence of iTRAQ fold-change for each protein is dependent on the overall ion statistics (Mascot Protein Score) attainable by each instrument. The benchmarking also suggested how to further improve the mass spectrometry parameters and HPLC conditions. Our findings highlight the special challenges presented by the low abundance peptide ions of iTRAQ plasma proteome because the dynamic range of plasma protein abundance is uniquely high compared with cell lysates, necessitating high instrument sensitivity.

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Year:  2013        PMID: 24004147      PMCID: PMC3817719          DOI: 10.1021/pr400307u

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


  35 in total

1.  Hypothesis: does COPD have an autoimmune component?

Authors:  A Agustí; W MacNee; K Donaldson; M Cosio
Journal:  Thorax       Date:  2003-10       Impact factor: 9.139

2.  Addressing accuracy and precision issues in iTRAQ quantitation.

Authors:  Natasha A Karp; Wolfgang Huber; Pawel G Sadowski; Philip D Charles; Svenja V Hester; Kathryn S Lilley
Journal:  Mol Cell Proteomics       Date:  2010-04-10       Impact factor: 5.911

3.  Search for cancer markers from endometrial tissues using differentially labeled tags iTRAQ and cICAT with multidimensional liquid chromatography and tandem mass spectrometry.

Authors:  Leroi DeSouza; Georg Diehl; Mary Joe Rodrigues; Jingzhong Guo; Alexander D Romaschin; Terence J Colgan; K W Michael Siu
Journal:  J Proteome Res       Date:  2005 Mar-Apr       Impact factor: 4.466

4.  The Paragon Algorithm, a next generation search engine that uses sequence temperature values and feature probabilities to identify peptides from tandem mass spectra.

Authors:  Ignat V Shilov; Sean L Seymour; Alpesh A Patel; Alex Loboda; Wilfred H Tang; Sean P Keating; Christie L Hunter; Lydia M Nuwaysir; Daniel A Schaeffer
Journal:  Mol Cell Proteomics       Date:  2007-05-27       Impact factor: 5.911

5.  Quantitative membrane proteomics applying narrow range peptide isoelectric focusing for studies of small cell lung cancer resistance mechanisms.

Authors:  Hanna Eriksson; Johan Lengqvist; Joel Hedlund; Kristina Uhlén; Lukas M Orre; Bengt Bjellqvist; Bengt Persson; Janne Lehtiö; Per-Johan Jakobsson
Journal:  Proteomics       Date:  2008-08       Impact factor: 3.984

6.  One-hit effects in cancer: altered proteome of morphologically normal colon crypts in familial adenomatous polyposis.

Authors:  Anthony T Yeung; Bhavinkumar B Patel; Xin-Ming Li; Steven H Seeholzer; Renata A Coudry; Harry S Cooper; Alfonso Bellacosa; Bruce M Boman; Tao Zhang; Samuel Litwin; Eric A Ross; Peggy Conrad; James A Crowell; Levy Kopelovich; Alfred Knudson
Journal:  Cancer Res       Date:  2008-09-15       Impact factor: 12.701

7.  Analysis of iTRAQ data using Mascot and Peaks quantification algorithms.

Authors:  Carla M R Lacerda; Lei Xin; Iain Rogers; Kenneth F Reardon
Journal:  Brief Funct Genomic Proteomic       Date:  2008-04-04

8.  Factors determining diagnostic yield of endoscopic ultrasound guided fine-needle aspiration for pancreatic cystic lesions: a multicentre Asian study.

Authors:  Lee Guan Lim; Sandeep Lakhtakia; Tiing Leong Ang; Charles K F Vu; Frederick Dy; Vui Heng Chong; Christopher J L Khor; Wee Chian Lim; Bhavesh Kishor Doshi; Shyam Varadarajulu; Kenjiro Yasuda; Jennie Y Y Wong; Yiong Huak Chan; Min En Nga; Khek Yu Ho
Journal:  Dig Dis Sci       Date:  2013-01-13       Impact factor: 3.199

Review 9.  An update of HNPCC (Lynch syndrome).

Authors:  H T Lynch; T Smyrk; J Lynch
Journal:  Cancer Genet Cytogenet       Date:  1997-01

10.  A cross-platform toolkit for mass spectrometry and proteomics.

Authors:  Matthew C Chambers; Brendan Maclean; Robert Burke; Dario Amodei; Daniel L Ruderman; Steffen Neumann; Laurent Gatto; Bernd Fischer; Brian Pratt; Jarrett Egertson; Katherine Hoff; Darren Kessner; Natalie Tasman; Nicholas Shulman; Barbara Frewen; Tahmina A Baker; Mi-Youn Brusniak; Christopher Paulse; David Creasy; Lisa Flashner; Kian Kani; Chris Moulding; Sean L Seymour; Lydia M Nuwaysir; Brent Lefebvre; Frank Kuhlmann; Joe Roark; Paape Rainer; Suckau Detlev; Tina Hemenway; Andreas Huhmer; James Langridge; Brian Connolly; Trey Chadick; Krisztina Holly; Josh Eckels; Eric W Deutsch; Robert L Moritz; Jonathan E Katz; David B Agus; Michael MacCoss; David L Tabb; Parag Mallick
Journal:  Nat Biotechnol       Date:  2012-10       Impact factor: 54.908

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  18 in total

1.  Online Peptide fractionation using a multiphasic microfluidic liquid chromatography chip improves reproducibility and detection limits for quantitation in discovery and targeted proteomics.

Authors:  Christoph Krisp; Hao Yang; Remco van Soest; Mark P Molloy
Journal:  Mol Cell Proteomics       Date:  2015-04-07       Impact factor: 5.911

2.  Multiplexed, Quantitative Workflow for Sensitive Biomarker Discovery in Plasma Yields Novel Candidates for Early Myocardial Injury.

Authors:  Hasmik Keshishian; Michael W Burgess; Michael A Gillette; Philipp Mertins; Karl R Clauser; D R Mani; Eric W Kuhn; Laurie A Farrell; Robert E Gerszten; Steven A Carr
Journal:  Mol Cell Proteomics       Date:  2015-02-27       Impact factor: 5.911

3.  Mechanisms of Soybean Roots' Tolerances to Salinity Revealed by Proteomic and Phosphoproteomic Comparisons Between Two Cultivars.

Authors:  Erxu Pi; Liqun Qu; Jianwen Hu; Yingying Huang; Lijuan Qiu; Hongfei Lu; Bo Jiang; Cong Liu; Tingting Peng; Ying Zhao; Huizhong Wang; Sau-Na Tsai; Saiming Ngai; Liqun Du
Journal:  Mol Cell Proteomics       Date:  2015-09-25       Impact factor: 5.911

4.  Integrated Cellular and Plasma Proteomics of Contrasting B-cell Cancers Reveals Common, Unique and Systemic Signatures.

Authors:  Harvey E Johnston; Matthew J Carter; Kerry L Cox; Melanie Dunscombe; Antigoni Manousopoulou; Paul A Townsend; Spiros D Garbis; Mark S Cragg
Journal:  Mol Cell Proteomics       Date:  2017-01-04       Impact factor: 5.911

5.  Quantitative, multiplexed workflow for deep analysis of human blood plasma and biomarker discovery by mass spectrometry.

Authors:  Hasmik Keshishian; Michael W Burgess; Harrison Specht; Luke Wallace; Karl R Clauser; Michael A Gillette; Steven A Carr
Journal:  Nat Protoc       Date:  2017-07-27       Impact factor: 13.491

6.  Identification of human serum protein targets of Qianggu Decoction () in primary type I osteoporosis based on tandem mass tag labeling and liquid chromatography-tandem mass spectrometry technology.

Authors:  Bo-Cheng Liang; Xiao-Lin Shi; Chun-Wen Li; Zhen-Yu Shi; Wei-Tao He; Jian-Liang Yao; Ling-Cheng Kong; Xu-Yun Li
Journal:  Chin J Integr Med       Date:  2016-07-07       Impact factor: 1.978

7.  Architecture of the Yeast Mitochondrial Iron-Sulfur Cluster Assembly Machinery: THE SUB-COMPLEX FORMED BY THE IRON DONOR, Yfh1 PROTEIN, AND THE SCAFFOLD, Isu1 PROTEIN.

Authors:  Wasantha Ranatunga; Oleksandr Gakh; Belinda K Galeano; Douglas Y Smith; Christopher A G Söderberg; Salam Al-Karadaghi; James R Thompson; Grazia Isaya
Journal:  J Biol Chem       Date:  2016-03-03       Impact factor: 5.157

8.  Integrative subcellular proteomic analysis allows accurate prediction of human disease-causing genes.

Authors:  Li Zhao; Yiyun Chen; Amol Onkar Bajaj; Aiden Eblimit; Mingchu Xu; Zachry T Soens; Feng Wang; Zhongqi Ge; Sung Yun Jung; Feng He; Yumei Li; Theodore G Wensel; Jun Qin; Rui Chen
Journal:  Genome Res       Date:  2016-02-24       Impact factor: 9.043

9.  Automated sample preparation platform for mass spectrometry-based plasma proteomics and biomarker discovery.

Authors:  Vilém Guryča; Daniel Roeder; Paolo Piraino; Jens Lamerz; Axel Ducret; Hanno Langen; Paul Cutler
Journal:  Biology (Basel)       Date:  2014-03-11

10.  Large-scale label-free comparative proteomics analysis of polo-like kinase 1 inhibition via the small-molecule inhibitor BI 6727 (Volasertib) in BRAF(V600E) mutant melanoma cells.

Authors:  Brian D Cholewa; Molly C Pellitteri-Hahn; Cameron O Scarlett; Nihal Ahmad
Journal:  J Proteome Res       Date:  2014-06-09       Impact factor: 4.466

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