Literature DB >> 17069510

Microarrays as validation strategies in clinical samples: tissue and protein microarrays.

Adriana Aguilar-Mahecha1, Saima Hassan, Cristiano Ferrario, Mark Basik.   

Abstract

The widespread use of DNA microarrays has led to the discovery of many genes whose expression profile may have significant clinical relevance. The translation of this data to the bedside requires that gene expression be validated as protein expression, and that annotated clinical samples be available for correlative and quantitative studies to assess clinical context and usefulness of putative biomarkers. We review two microarray platforms developed to facilitate the clinical validation of candidate biomarkers: tissue microarrays and reverse-phase protein microarrays. Tissue microarrays are arrays of core biopsies obtained from paraffin-embedded tissues, which can be assayed for histologically-specific protein expression by immunohistochemistry. Reverse-phase protein microarrays consist of arrays of cell lysates or, more recently, plasma or serum samples, which can be assayed for protein quantity and for the presence of post-translational modifications such as phosphorylation. Although these platforms are limited by the availability of validated antibodies, both enable the preservation of precious clinical samples as well as experimental standardization in a high-throughput manner proper to microarray technologies. While tissue microarrays are rapidly becoming a mainstay of translational research, reverse-phase protein microarrays require further technical refinements and validation prior to their widespread adoption by research laboratories.

Entities:  

Mesh:

Year:  2006        PMID: 17069510     DOI: 10.1089/omi.2006.10.311

Source DB:  PubMed          Journal:  OMICS        ISSN: 1536-2310


  7 in total

1.  Integrated imaging instrument for self-calibrated fluorescence protein microarrays.

Authors:  A P Reddington; M R Monroe; M S Ünlü
Journal:  Rev Sci Instrum       Date:  2013-10       Impact factor: 1.523

2.  Clinicopathological impact of ABCC1/MRP1 and ABCC4/MRP4 in epithelial ovarian carcinoma.

Authors:  Marina Bagnoli; Giovanni L Beretta; Laura Gatti; Silvana Pilotti; Paola Alberti; Eva Tarantino; Mattia Barbareschi; Silvana Canevari; Delia Mezzanzanica; Paola Perego
Journal:  Biomed Res Int       Date:  2013-08-19       Impact factor: 3.411

3.  Tissue microarrays: applications in study of p16 and p53 alterations in Ewing's cell lines.

Authors:  Rosa Noguera; Isidro Machado; Marta Piqueras; Jose Antonio Lopez-Guerrero; Samuel Navarro; Empar Mayordomo; Antonio Pellin; Antonio Llombart-Bosch
Journal:  Diagn Pathol       Date:  2008-07-15       Impact factor: 2.644

4.  Expression and prognostic significance of the polymeric immunoglobulin receptor in epithelial ovarian cancer.

Authors:  Jonna Berntsson; Sebastian Lundgren; Björn Nodin; Mathias Uhlén; Alexander Gaber; Karin Jirström
Journal:  J Ovarian Res       Date:  2014-02-26       Impact factor: 4.234

5.  High expression levels of polymeric immunoglobulin receptor are correlated with chemoresistance and poor prognosis in pancreatic cancer.

Authors:  Ryotaro Ohkuma; Erica Yada; Shumpei Ishikawa; Daisuke Komura; Yutaro Kubota; Kazuyuki Hamada; Atsushi Horiike; Tomoyuki Ishiguro; Yuya Hirasawa; Hirotsugu Ariizumi; Midori Shida; Makoto Watanabe; Rie Onoue; Kiyohiro Ando; Junji Tsurutani; Kiyoshi Yoshimura; Tetsuro Sasada; Takeshi Aoki; Masahiko Murakami; Tomoko Norose; Nobuyuki Ohike; Masafumi Takimoto; Shinichi Kobayashi; Takuya Tsunoda; Satoshi Wada
Journal:  Oncol Rep       Date:  2020-05-11       Impact factor: 3.906

6.  High-Throughput Omics Technologies: Potential Tools for the Investigation of Influences of EMF on Biological Systems.

Authors:  M Blankenburg; L Haberland; H-D Elvers; C Tannert; B Jandrig
Journal:  Curr Genomics       Date:  2009-04       Impact factor: 2.236

Review 7.  Applications of protein biochips in biomedical and biotechnological research.

Authors:  Dirk Weinrich; Pascal Jonkheijm; Christof M Niemeyer; Herbert Waldmann
Journal:  Angew Chem Int Ed Engl       Date:  2009       Impact factor: 15.336

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.