Literature DB >> 31820388

Generation of Raw RPPA Data and Their Conversion to Analysis-Ready Data.

Rehan Akbani1, Shiyun Ling2, Yiling Lu3.   

Abstract

Reverse phase protein array (RPPA) provides investigators with a powerful high-throughput, quantitative, cost-effective technology for functional proteomics studies. It is an antibody-based technique with procedures similar to that of Western blots. RPPA has a wide variety of applications that range from pharmacodynamics and drug sensitivity assessment to biomarker discovery, subtype classification, and prediction of patient prognosis and response to targeted therapy. In this paper, we describe the technology, its limitations, and some solutions to overcome them. We discuss the steps necessary to obtain raw RPPA data and convert them into robust, high-quality, analysis-ready data. We then illustrate the utility of the platform by highlighting some biomarkers and drug responses of cancer cell lines that confirm previous findings, as a means to validate the platform and the methods presented here.

Entities:  

Keywords:  Antibody validation; RPPA data generation; RPPA normalization; Raw RPPA data

Year:  2019        PMID: 31820388     DOI: 10.1007/978-981-32-9755-5_9

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  1 in total

1.  Development of a five-protein signature for predicting the prognosis of head and neck squamous cell carcinoma.

Authors:  Xinyuan Zhao; Xianwen Liu; Li Cui
Journal:  Aging (Albany NY)       Date:  2020-10-13       Impact factor: 5.682

  1 in total

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