Literature DB >> 20534907

Monitoring proteins and protein networks using reverse phase protein arrays.

Bridget Wilson1, Lance A Liotta, Emanuel Petricoin.   

Abstract

Recent advances in high throughput, high content "omic" technologies coupled with clinical information has lead to the expectation that the complexity of the molecular information generated will lead to more robust scientific research as well as the expectation that overarching therapeutic approaches will be patient-tailored to the underlying specific molecular defects of the disease. As disease understanding progresses and more therapeutics, which predominately target proteins, are developed there is a need to more confidently determine the protein signaling events that can be correlated with drug response since the deranged protein signaling networks are often the drug target itself. In this environment, the Reverse Phase Protein Microarray (RPMA) can be utilized to address the needs of both clinical screening and disease understanding through its ability to provide an unmatched functional and highly multiplexed signaling network level mapping of ongoing signaling activation, coupled with the ability of the platform to provide this information reproducibly from a tiny needle biopsy specimen or fine needle aspirate. This platform has now been utilized for biomarker discovery/validation and advancements in disease understanding both in the clinic and at the bench in the fields of cancer, liver disease, immunological disorders, and bacterial infection.

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Year:  2010        PMID: 20534907      PMCID: PMC3833243          DOI: 10.3233/DMA-2010-0705

Source DB:  PubMed          Journal:  Dis Markers        ISSN: 0278-0240            Impact factor:   3.434


  14 in total

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3.  Global microRNA level regulation of EGFR-driven cell-cycle protein network in breast cancer.

Authors:  Stefan Uhlmann; Heiko Mannsperger; Jitao David Zhang; Emöke-Ágnes Horvat; Christian Schmidt; Moritz Küblbeck; Frauke Henjes; Aoife Ward; Ulrich Tschulena; Katharina Zweig; Ulrike Korf; Stefan Wiemann; Ozgür Sahin
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4.  Multifactorial analysis of conditional reprogramming of human keratinocytes.

Authors:  Segni B Ligaba; Anikita Khurana; Garrett Graham; Ewa Krawczyk; Sandra Jablonski; Emanuel F Petricoin; Robert I Glazer; Geeta Upadhyay
Journal:  PLoS One       Date:  2015-02-25       Impact factor: 3.240

5.  Multiple protein analysis of formalin-fixed and paraffin-embedded tissue samples with reverse phase protein arrays.

Authors:  Maziar Assadi; Jens Lamerz; Tiantom Jarutat; Alexandra Farfsing; Hubert Paul; Berthold Gierke; Ewa Breitinger; Markus F Templin; Laurent Essioux; Susanne Arbogast; Miro Venturi; Michael Pawlak; Hanno Langen; Thomas Schindler
Journal:  Mol Cell Proteomics       Date:  2013-05-07       Impact factor: 5.911

6.  Pathway analysis and transcriptomics improve protein identification by shotgun proteomics from samples comprising small number of cells--a benchmarking study.

Authors:  Jing Sun; Guang Lan Zhang; Siyang Li; Alexander R Ivanov; David Fenyo; Frederique Lisacek; Shashi K Murthy; Barry L Karger; Vladimir Brusic
Journal:  BMC Genomics       Date:  2014-12-08       Impact factor: 3.969

Review 7.  Evaluation of optical detection platforms for multiplexed detection of proteins and the need for point-of-care biosensors for clinical use.

Authors:  Samantha Spindel; Kim E Sapsford
Journal:  Sensors (Basel)       Date:  2014-11-25       Impact factor: 3.576

8.  Knowledge-based identification of soluble biomarkers: hepatic fibrosis in NAFLD as an example.

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Journal:  PLoS One       Date:  2013-02-06       Impact factor: 3.240

Review 9.  Advances in the proteomic discovery of novel therapeutic targets in cancer.

Authors:  Shanchun Guo; Jin Zou; Guangdi Wang
Journal:  Drug Des Devel Ther       Date:  2013-10-24       Impact factor: 4.162

10.  Host response during Yersinia pestis infection of human bronchial epithelial cells involves negative regulation of autophagy and suggests a modulation of survival-related and cellular growth pathways.

Authors:  Farhang Alem; Kuan Yao; Douglas Lane; Valerie Calvert; Emanuel F Petricoin; Liana Kramer; Martha L Hale; Sina Bavari; Rekha G Panchal; Ramin M Hakami
Journal:  Front Microbiol       Date:  2015-02-13       Impact factor: 5.640

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