Literature DB >> 20690060

RNA expression analysis on formalin-fixed paraffin-embedded tissues in TMA format by RNA in situ hybridization.

Jürgen Veeck1, Edgar Dahl.   

Abstract

The technique of RNA in situ hybridization, i.e., the detection of specific messenger RNA sequences within structurally intact cells or tissues is not widely used in biomedical research, because it can be cumbersome and technically challenging. However, it has a major advantage that warrants and sometimes even requires its application and the associated efforts. RNA in situ hybridization enables a detailed analysis of gene expression in the absence of a suitable antibody to the molecule encoded by the gene of interest. Within the wealth of RNA analysis technologies available nowadays, RNA in situ hybridization still is the only methodology that allows a precise localization of gene expression at a cellular level. This is particularly important if, e.g., new molecular markers or potential drug target molecules have to be analyzed in large cohorts of human tissues. In cancer research, it may be necessary to show that a newly characterized molecule is indeed expressed by the tumor cells themselves, rather than by any surrounding tissue. A protocol is presented here that has been routinely and successfully used on FFPE tissues assembled on a tissue micro array (TMA).

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Year:  2010        PMID: 20690060     DOI: 10.1007/978-1-60761-806-5_14

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


  3 in total

1.  Overexpression of SERBP1 (Plasminogen activator inhibitor 1 RNA binding protein) in human breast cancer is correlated with favourable prognosis.

Authors:  Nuran Bektas Serce; Andreas Boesl; Irina Klaman; Sonja von Serényi; Erik Noetzel; Michael F Press; Arno Dimmler; Arndt Hartmann; Jalid Sehouli; Ruth Knuechel; Matthias W Beckmann; Peter A Fasching; Edgar Dahl
Journal:  BMC Cancer       Date:  2012-12-13       Impact factor: 4.430

2.  An alternative high output tissue microarray technique.

Authors:  Yuan Shi; Deming He; Yingyong Hou; Qin Hu; Chen Xu; Yalan Liu; Dongxian Jiang; Jieakesu Su; Haiying Zeng; Yunshan Tan
Journal:  Diagn Pathol       Date:  2013-01-21       Impact factor: 2.644

3.  Genes and pathways underlying regional and cell type changes in Alzheimer's disease.

Authors:  Jeremy A Miller; Randall L Woltjer; Jeff M Goodenbour; Steve Horvath; Daniel H Geschwind
Journal:  Genome Med       Date:  2013-05-25       Impact factor: 11.117

  3 in total

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