Literature DB >> 22036744

Taming the isobaric tagging elephant in the room in quantitative proteomics.

Andy Christoforou, Kathryn S Lilley.   

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Year:  2011        PMID： 22036744     DOI： 10.1038/nmeth.1736

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


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  11 in total

1.  Tandem mass tags: a novel quantification strategy for comparative analysis of complex protein mixtures by MS/MS.

Authors:  Andrew Thompson; Jürgen Schäfer; Karsten Kuhn; Stefan Kienle; Josef Schwarz; Günter Schmidt; Thomas Neumann; R Johnstone; A Karim A Mohammed; Christian Hamon
Journal:  Anal Chem       Date:  2003-04-15       Impact factor: 6.986

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.  A robust error model for iTRAQ quantification reveals divergent signaling between oncogenic FLT3 mutants in acute myeloid leukemia.

Authors:  Yi Zhang; Manor Askenazi; Jingrui Jiang; C John Luckey; James D Griffin; Jarrod A Marto
Journal:  Mol Cell Proteomics       Date:  2009-12-17       Impact factor: 5.911

4.  High precision quantitative proteomics using iTRAQ on an LTQ Orbitrap: a new mass spectrometric method combining the benefits of all.

Authors:  Thomas Köcher; Peter Pichler; Michael Schutzbier; Christoph Stingl; Axel Kaul; Nils Teucher; Gerd Hasenfuss; Josef M Penninger; Karl Mechtler
Journal:  J Proteome Res       Date:  2009-10       Impact factor: 4.466

5.  iTRAQ underestimation in simple and complex mixtures: "the good, the bad and the ugly".

Authors:  Saw Yen Ow; Malinda Salim; Josselin Noirel; Caroline Evans; Ishtiaq Rehman; Phillip C Wright
Journal:  J Proteome Res       Date:  2009-11       Impact factor: 4.466

6.  Targeted data acquisition for improved reproducibility and robustness of proteomic mass spectrometry assays.

Authors:  Mikhail M Savitski; Frank Fischer; Toby Mathieson; Gavain Sweetman; Manja Lang; Marcus Bantscheff
Journal:  J Am Soc Mass Spectrom       Date:  2010-01-25       Impact factor: 3.109

7.  Multiplexed protein quantitation in Saccharomyces cerevisiae using amine-reactive isobaric tagging reagents.

Authors:  Philip L Ross; Yulin N Huang; Jason N Marchese; Brian Williamson; Kenneth Parker; Stephen Hattan; Nikita Khainovski; Sasi Pillai; Subhakar Dey; Scott Daniels; Subhasish Purkayastha; Peter Juhasz; Stephen Martin; Michael Bartlet-Jones; Feng He; Allan Jacobson; Darryl J Pappin
Journal:  Mol Cell Proteomics       Date:  2004-09-22       Impact factor: 5.911

8.  A comparison of the accuracy of iTRAQ quantification by nLC-ESI MSMS and nLC-MALDI MSMS methods.

Authors:  Sally L Shirran; Catherine H Botting
Journal:  J Proteomics       Date:  2010-03-15       Impact factor: 4.044

9.  Gas-phase purification enables accurate, multiplexed proteome quantification with isobaric tagging.

Authors:  Craig D Wenger; M Violet Lee; Alexander S Hebert; Graeme C McAlister; Douglas H Phanstiel; Michael S Westphall; Joshua J Coon
Journal:  Nat Methods       Date:  2011-10-02       Impact factor: 28.547

10.  MS3 eliminates ratio distortion in isobaric multiplexed quantitative proteomics.

Authors:  Lily Ting; Ramin Rad; Steven P Gygi; Wilhelm Haas
Journal:  Nat Methods       Date:  2011-10-02       Impact factor: 28.547
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  8 in total

1.  Analysis of protein mixtures from whole-cell extracts by single-run nanoLC-MS/MS using ultralong gradients.

Authors:  Thomas Köcher; Peter Pichler; Remco Swart; Karl Mechtler
Journal:  Nat Protoc       Date:  2012-04-12       Impact factor: 13.491

2.  Using hyperLOPIT to perform high-resolution mapping of the spatial proteome.

Authors:  Claire M Mulvey; Lisa M Breckels; Aikaterini Geladaki; Nina Kočevar Britovšek; Daniel J H Nightingale; Andy Christoforou; Mohamed Elzek; Michael J Deery; Laurent Gatto; Kathryn S Lilley
Journal:  Nat Protoc       Date:  2017-05-04       Impact factor: 13.491

3.  Quantitative proteomic analysis reveals metabolic alterations, calcium dysregulation, and increased expression of extracellular matrix proteins in laminin α2 chain-deficient muscle.

Authors:  Bruno Menezes de Oliveira; Cintia Y Matsumura; Cibely C Fontes-Oliveira; Kinga I Gawlik; Helena Acosta; Patrik Wernhoff; Madeleine Durbeej
Journal:  Mol Cell Proteomics       Date:  2014-07-03       Impact factor: 5.911

4.  Automated gas-phase purification for accurate, multiplexed quantification on a stand-alone ion-trap mass spectrometer.

Authors:  Catherine E Vincent; Jarred W Rensvold; Michael S Westphall; David J Pagliarini; Joshua J Coon
Journal:  Anal Chem       Date:  2012-10-24       Impact factor: 6.986

5.  MZDASoft: a software architecture that enables large-scale comparison of protein expression levels over multiple samples based on liquid chromatography/tandem mass spectrometry.

Authors:  Mehrab Ghanat Bari; Nelson Ramirez; Zhiwei Wang; Jianqiu Michelle Zhang
Journal:  Rapid Commun Mass Spectrom       Date:  2015-10-15       Impact factor: 2.419

Review 6.  Mass spectrometry-based proteomics for pre-eclampsia and preterm birth.

Authors:  Kai P Law; Ting-Li Han; Chao Tong; Philip N Baker
Journal:  Int J Mol Sci       Date:  2015-05-14       Impact factor: 5.923

7.  Quantitative Proteomic Approach for MicroRNA Target Prediction Based on 18O/16O Labeling.

Authors:  Xuepo Ma; Ying Zhu; Yufei Huang; Tony Tegeler; Shou-Jiang Gao; Jianqiu Zhang
Journal:  Cancer Inform       Date:  2016-12-08

8.  Real-time iTRAQ-based proteome profiling revealed the central metabolism involved in nitrogen starvation induced lipid accumulation in microalgae.

Authors:  Vineeta Rai; Muthusivaramapandian Muthuraj; Mayuri N Gandhi; Debasish Das; Sanjeeva Srivastava
Journal:  Sci Rep       Date:  2017-04-05       Impact factor: 4.379
  8 in total

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