Literature DB >> 21370011

Microarray-based CGH and copy number analysis of FFPE samples.

Fahd Al-Mulla1.   

Abstract

Over the past decade, utilization of microarray technology has flourished in biomedical research. It has evolved rapidly into a revolutionary tool that offers deeper insight into the molecular basis associated with complex diseases, especially in the field of cancer. Specifically, array-based Comparative Genomic Hybridization (aCGH) permits the detection of genome-wide copy number alterations with high resolution. Microarray application to DNA extracted from formalin-fixed paraffin-embedded tissue (FFPE), in particular, poses a challenge due to the partially degraded nature and compromised quality of the DNA. This chapter gives a description of the several CGH-microarray platforms currently available and offers practical steps that guide you through optimal handling and superior aCGH data acquisition of DNA extracted from FFPE tissues.

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Year:  2011        PMID: 21370011     DOI: 10.1007/978-1-61779-055-3_9

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  6 in total

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2.  Reduced FHIT expression is associated with mismatch repair deficient and high CpG island methylator phenotype colorectal cancer.

Authors:  Rabeah Abbas Al-Temaimi; Sindhu Jacob; Waleed Al-Ali; Diana Ann Thomas; Fahd Al-Mulla
Journal:  J Histochem Cytochem       Date:  2013-06-24       Impact factor: 2.479

3.  DNA fragmentation simulation method (FSM) and fragment size matching improve aCGH performance of FFPE tissues.

Authors:  Justin M Craig; Natalie Vena; Shakti Ramkissoon; Ahmed Idbaih; Shaun D Fouse; Memet Ozek; Aydin Sav; D Ashley Hill; Linda R Margraf; Charles G Eberhart; Mark W Kieran; Andrew D Norden; Patrick Y Wen; Massimo Loda; Sandro Santagata; Keith L Ligon; Azra H Ligon
Journal:  PLoS One       Date:  2012-06-15       Impact factor: 3.240

4.  Gender-associated genomic differences in colorectal cancer: clinical insight from feminization of male cancer cells.

Authors:  Rola H Ali; Makia J Marafie; Milad S Bitar; Fahad Al-Dousari; Samar Ismael; Hussain Bin Haider; Waleed Al-Ali; Sindhu P Jacob; Fahd Al-Mulla
Journal:  Int J Mol Sci       Date:  2014-09-29       Impact factor: 5.923

5.  Functionally-focused algorithmic analysis of high resolution microarray-CGH genomic landscapes demonstrates comparable genomic copy number aberrations in MSI and MSS sporadic colorectal cancer.

Authors:  Hamad Ali; Milad S Bitar; Ashraf Al Madhoun; Makia Marafie; Fahd Al-Mulla
Journal:  PLoS One       Date:  2017-02-23       Impact factor: 3.240

6.  Identification of 42 Genes Linked to Stage II Colorectal Cancer Metastatic Relapse.

Authors:  Rabeah A Al-Temaimi; Tuan Zea Tan; Makia J Marafie; Jean Paul Thiery; Philip Quirke; Fahd Al-Mulla
Journal:  Int J Mol Sci       Date:  2016-04-28       Impact factor: 5.923

  6 in total

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