Literature DB >> 19323455

Absolute quantification of potential cancer markers in clinical tissue homogenates using multiple reaction monitoring on a hybrid triple quadrupole/linear ion trap tandem mass spectrometer.

Leroi V DeSouza1, Alexander D Romaschin, Terence J Colgan, K W Michael Siu.   

Abstract

Multidimensional liquid chromatography with tandem mass spectrometry with iTRAQ-labeling typically used for differential expression analysis in biomarker discovery does not always detect peptides from these biomarkers in all samples analyzed. Herein we describe the results of targeted analyses using multiple reaction monitoring (MRM) on a hybrid triple quadrupole/linear ion-trap tandem mass spectrometer. The MRM approach when combined with the newly released mTRAQ reagent, a non-isobaric variant of the iTRAQ tag available in two versions, enables absolute quantification of peptides and proteins via isotope-dilution mass spectrometry. This approach was applied to clinical endometrial tissue homogenates in an effort to quantify two endometrial cancer biomarkers, pyruvate kinase (PK) and polymeric immunoglobulin receptor (PIGR). We successfully demonstrated the feasibility of this approach on 20 individual samples and further verified the differential expressions of these two biomarkers in endometrial carcinoma. PK was determined to be present at an average concentration of 58.33 pmol/mg of total proteins and in the range of 9.13-87.66 pmol/mg in the soluble fraction of the normal proliferative endometrium homogenates. By contrast, the average concentration of PK in the cancer sample homogenates was 237.2 pmol/mg of total proteins and in the range of 66.10-570.9 pmol/mg. PIGR was found to be expressed at an average concentration of 8.85 pmol/mg of total proteins with a range of 1.02-49.61 pmol/mg in the normal proliferative control samples, and an average concentration of 200.2 pmol/mg with a range of 7.63-810.4 pmol/mg in the cancer samples. This study confirmed qualitatively the differential expressions previously observed but also showed that the actual relative differential expressions in these samples were much higher than those reported in the discovery study. These results validated earlier observations of dynamic-range compression in iTRAQ-labeling with hybrid quadrupole/time-of-flight mass spectrometry (DeSouza, L.V. et al. J. Proteome Res. 2008, 7, 3525-3534).

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Year:  2009        PMID: 19323455     DOI: 10.1021/ac802726a

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  26 in total

1.  Isobaric labeling and data normalization without requiring protein quantitation.

Authors:  Phillip D Kim; Bhavinkumar B Patel; Anthony T Yeung
Journal:  J Biomol Tech       Date:  2012-04

2.  Enhanced sensitivity for selected reaction monitoring mass spectrometry-based targeted proteomics using a dual stage electrodynamic ion funnel interface.

Authors:  Mahmud Hossain; David T Kaleta; Errol W Robinson; Tao Liu; Rui Zhao; Jason S Page; Ryan T Kelly; Ronald J Moore; Keqi Tang; David G Camp; Wei-Jun Qian; Richard D Smith
Journal:  Mol Cell Proteomics       Date:  2010-04-21       Impact factor: 5.911

3.  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

Review 4.  Recent advances in quantitative neuroproteomics.

Authors:  George E Craft; Anshu Chen; Angus C Nairn
Journal:  Methods       Date:  2013-04-25       Impact factor: 3.608

5.  Targeted proteomics: a bridge between discovery and validation.

Authors:  Robert Harlan; Hui Zhang
Journal:  Expert Rev Proteomics       Date:  2014-10-28       Impact factor: 3.940

6.  Integrated proteomic profiling of cell line conditioned media and pancreatic juice for the identification of pancreatic cancer biomarkers.

Authors:  Shalini Makawita; Chris Smith; Ihor Batruch; Yingye Zheng; Felix Rückert; Robert Grützmann; Christian Pilarsky; Steven Gallinger; Eleftherios P Diamandis
Journal:  Mol Cell Proteomics       Date:  2011-06-07       Impact factor: 5.911

7.  Polymeric immunoglobulin receptor expression is predictive of poor prognosis in glioma patients.

Authors:  Huanjiang Niu; Kun Wang; Yirong Wang
Journal:  Int J Clin Exp Med       Date:  2014-08-15

8.  Novel isotopic N,N-dimethyl leucine (iDiLeu) reagents enable absolute quantification of peptides and proteins using a standard curve approach.

Authors:  Tyler Greer; Christopher B Lietz; Feng Xiang; Lingjun Li
Journal:  J Am Soc Mass Spectrom       Date:  2014-11-07       Impact factor: 3.109

9.  Highly Multiplex Targeted Proteomics Enabled by Real-Time Chromatographic Alignment.

Authors:  Philip M Remes; Ping Yip; Michael J MacCoss
Journal:  Anal Chem       Date:  2020-08-12       Impact factor: 6.986

Review 10.  Applying mass spectrometry based proteomic technology to advance the understanding of multiple myeloma.

Authors:  Johann Micallef; Moyez Dharsee; Jian Chen; Suzanne Ackloo; Ken Evans; Luqui Qiu; Hong Chang
Journal:  J Hematol Oncol       Date:  2010-04-07       Impact factor: 17.388

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