Literature DB >> 25358623

Reverse phase protein arrays: mapping the path towards personalized medicine.

Rosa I Gallagher1, Virginia Espina.   

Abstract

Reverse phase protein array (RPPA) technology evolved from the advent of miniaturized immunoassays and gene microarray technology. Reverse phase protein arrays provide either a low throughput or high throughput methodology for quantifying proteins and their post-translationally modified forms in both cellular and non-cellular samples. As the demand for patient tailored therapies increases so does the need for precise and sensitive technology to accurately profile the molecular circuitry driving an individual patient's disease. RPPAs are currently utilized in clinical trials for profiling and comparing the functional state of protein signaling pathways, either temporally within tumors, between patients, or within the same patients before/after treatment. RPPAs are generally employed for quantifying large numbers of samples on one array, under identical experimental conditions. However, the goal of personalized cancer medicine is to design therapies based on the molecular portrait of a patient's tumor, which in turn result in more efficacious treatments with less toxicity. Therefore, RPPAs are also being validated for low throughput assays of individual patient samples. This review explores RPPA technology in the cancer research field, concentrating on its role as a fundamental tool for deciphering protein signaling networks and its emerging role in personalized medicine.

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Year:  2014        PMID: 25358623      PMCID: PMC4732707          DOI: 10.1007/s40291-014-0122-3

Source DB:  PubMed          Journal:  Mol Diagn Ther        ISSN: 1177-1062            Impact factor:   4.074


  82 in total

Review 1.  Protein microarrays: meeting analytical challenges for clinical applications.

Authors:  Lance A Liotta; Virginia Espina; Arpita I Mehta; Valerie Calvert; Kevin Rosenblatt; David Geho; Peter J Munson; Lynn Young; Julia Wulfkuhle; Emanuel F Petricoin
Journal:  Cancer Cell       Date:  2003-04       Impact factor: 31.743

Review 2.  Clinical proteomics: translating benchside promise into bedside reality.

Authors:  Emanuel F Petricoin; Kathryn C Zoon; Elise C Kohn; J Carl Barrett; Lance A Liotta
Journal:  Nat Rev Drug Discov       Date:  2002-09       Impact factor: 84.694

3.  Catalyzed reporter deposition, a novel method of signal amplification. II. Application to membrane immunoassays.

Authors:  M N Bobrow; K J Shaughnessy; G J Litt
Journal:  J Immunol Methods       Date:  1991-03-01       Impact factor: 2.303

4.  Preparation and use of reverse protein microarrays.

Authors:  Elisa Pin; Giulia Federici; Emanuel F Petricoin
Journal:  Curr Protoc Protein Sci       Date:  2014-02-03

Review 5.  Mapping molecular networks using proteomics: a vision for patient-tailored combination therapy.

Authors:  Emanuel F Petricoin; Verena E Bichsel; Valerie S Calvert; Virginia Espina; Mary Winters; Lynn Young; Claudio Belluco; Bruce J Trock; Marc Lippman; David A Fishman; Dennis C Sgroi; Peter J Munson; Laura J Esserman; Lance A Liotta
Journal:  J Clin Oncol       Date:  2005-05-20       Impact factor: 44.544

6.  Catalyzed reporter deposition, a novel method of signal amplification. Application to immunoassays.

Authors:  M N Bobrow; T D Harris; K J Shaughnessy; G J Litt
Journal:  J Immunol Methods       Date:  1989-12-20       Impact factor: 2.303

7.  Diagnostic markers that distinguish colon and ovarian adenocarcinomas: identification by genomic, proteomic, and tissue array profiling.

Authors:  Satoshi Nishizuka; Sing-Tsung Chen; Fuad G Gwadry; Jes Alexander; Sylvia M Major; Uwe Scherf; William C Reinhold; Mark Waltham; Lu Charboneau; Lynn Young; Kimberly J Bussey; Sohyoung Kim; Samir Lababidi; Jae K Lee; Stefania Pittaluga; Dominic A Scudiero; Edward A Sausville; Peter J Munson; Emmanuel F Petricoin; Lance A Liotta; Stephen M Hewitt; Mark Raffeld; John N Weinstein
Journal:  Cancer Res       Date:  2003-09-01       Impact factor: 12.701

8.  Molecular analysis of HER2 signaling in human breast cancer by functional protein pathway activation mapping.

Authors:  Julia D Wulfkuhle; Daniela Berg; Claudia Wolff; Rupert Langer; Kai Tran; Julie Illi; Virginia Espina; Mariaelena Pierobon; Jianghong Deng; Angela DeMichele; Axel Walch; Holger Bronger; Ingrid Becker; Christine Waldhör; Heinz Höfler; Laura Esserman; Lance A Liotta; Karl-Friedrich Becker; Emanuel F Petricoin
Journal:  Clin Cancer Res       Date:  2012-10-08       Impact factor: 12.531

Review 9.  Systematic review of the analgesic efficacy and tolerability of COX-2 inhibitors in post-operative pain control.

Authors:  L-C Chen; R A Elliott; D M Ashcroft
Journal:  J Clin Pharm Ther       Date:  2004-06       Impact factor: 2.512

Review 10.  Proteogenomic convergence for understanding cancer pathways and networks.

Authors:  Emily S Boja; Henry Rodriguez
Journal:  Clin Proteomics       Date:  2014-06-01       Impact factor: 3.988

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  17 in total

1.  Proteomics for cancer drug design.

Authors:  Amanda Haymond; Justin B Davis; Virginia Espina
Journal:  Expert Rev Proteomics       Date:  2019-08-04       Impact factor: 3.940

Review 2.  Reverse phase protein arrays in acute leukemia: investigative and methodological challenges.

Authors:  Fieke W Hoff; Terzah M Horton; Steven M Kornblau
Journal:  Expert Rev Proteomics       Date:  2021-12-29       Impact factor: 4.250

Review 3.  The active kinome: The modern view of how active protein kinase networks fit in biological research.

Authors:  Khaled Alganem; Abdul-Rizaq Hamoud; Justin F Creeden; Nicholas D Henkel; Ali S Imami; Alex W Joyce; William G Ryan V; Jacob B Rethman; Rammohan Shukla; Sinead M O'Donovan; Jarek Meller; Robert McCullumsmith
Journal:  Curr Opin Pharmacol       Date:  2021-12-27       Impact factor: 4.768

Review 4.  Using reverse-phase protein arrays as pharmacodynamic assays for functional proteomics, biomarker discovery, and drug development in cancer.

Authors:  Yiling Lu; Shiyun Ling; Apurva M Hegde; Lauren A Byers; Kevin Coombes; Gordon B Mills; Rehan Akbani
Journal:  Semin Oncol       Date:  2016-06-15       Impact factor: 4.929

5.  Cancer Stem Cell-Based Models of Colorectal Cancer Reveal Molecular Determinants of Therapy Resistance.

Authors:  Maria Laura De Angelis; Ann Zeuner; Eleonora Policicchio; Giorgio Russo; Alessandro Bruselles; Michele Signore; Sara Vitale; Gabriele De Luca; Emanuela Pilozzi; Alessandra Boe; Giorgio Stassi; Lucia Ricci-Vitiani; Carla Azzurra Amoreo; Alfredo Pagliuca; Federica Francescangeli; Marco Tartaglia; Ruggero De Maria; Marta Baiocchi
Journal:  Stem Cells Transl Med       Date:  2016-03-08       Impact factor: 6.940

6.  The effects of sample handling on proteomics assessed by reverse phase protein arrays (RPPA): Functional proteomic profiling in leukemia.

Authors:  Terzah M Horton; Fieke W Hoff; Anneke van Dijk; Gaye N Jenkins; Debra Morrison; Teena Bhatla; Laura Hogan; Eleny Romanos-Sirakis; Julia Meyer; William L Carroll; Yihua Qiu; Tao Wang; Qianxing Mo; Steven M Kornblau
Journal:  J Proteomics       Date:  2020-11-16       Impact factor: 4.044

7.  Proteomic Analysis of Cardioembolic and Large Artery Atherosclerotic Clots Using Reverse Phase Protein Array Technology Reveals Key Cellular Interactions Within Clot Microenvironments.

Authors:  Mehdi Abbasi; Sean Fitzgerald; Jennifer Ayers-Ringler; Virginia Espina; Claudius Mueller; Sally Rucker; Ramanathan Kadirvel; David Kallmes; Waleed Brinjikji
Journal:  Cureus       Date:  2021-02-22

Review 8.  Reverse phase protein arrays in signaling pathways: a data integration perspective.

Authors:  Chad J Creighton; Shixia Huang
Journal:  Drug Des Devel Ther       Date:  2015-07-07       Impact factor: 4.162

Review 9.  Emerging understanding of multiscale tumor heterogeneity.

Authors:  Michael J Gerdes; Anup Sood; Christopher Sevinsky; Andrew D Pris; Maria I Zavodszky; Fiona Ginty
Journal:  Front Oncol       Date:  2014-12-18       Impact factor: 6.244

10.  ZBIT Bioinformatics Toolbox: A Web-Platform for Systems Biology and Expression Data Analysis.

Authors:  Michael Römer; Johannes Eichner; Andreas Dräger; Clemens Wrzodek; Finja Wrzodek; Andreas Zell
Journal:  PLoS One       Date:  2016-02-16       Impact factor: 3.240

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