Literature DB >> 11258592

Suppression subtractive hybridisation: application in the discovery of novel pharmacological targets.

X Wang1, G Z Feuerstein.   

Abstract

Suppression subtractive hybridisation (SSH) is a recently developed technology designed for identifying differentially expressed genes. Total cellular RNA isolated from two sources of tissue (such as diseased versus normal) is reverse-transcribed to generate cDNA and subtracted. One critical feature of this technique is the suppression polymerase chain reaction (PCR) in combination with subtraction. To optimnise the subtraction the cDNA is digested with a restriction enzyme to generate small DNA fragments (approximately 500 nucleotides in length). Specially designed DNA adapters are ligated onto one of the cDNA pools (usually the diseased one), which is followed by two rounds of hybridisation and PCR. Since this method is PCR-based, it is sensitive and efficient to identify genes of interest. The discovery of disease-related genes is an important step for the identification of novel therapeutic targets.

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Year:  2000        PMID: 11258592     DOI: 10.1517/14622416.1.1.101

Source DB:  PubMed          Journal:  Pharmacogenomics        ISSN: 1462-2416            Impact factor:   2.533


  4 in total

1.  cDNA suppression subtraction library for screening down-regulated genes in gastric carcinoma.

Authors:  Jian-Jun Du; Ke-Feng Dou; Shu-You Peng; Hua-Sheng Xiao; Wei-Zhong Wang; Wen-Xian Guan; Zhong-Hua Wang; Zhi-Qing Gao; Ying-Bin Liu
Journal:  World J Gastroenterol       Date:  2003-07       Impact factor: 5.742

2.  Construction and analysis of SSH cDNA library of human vascular endothelial cells related to gastrocarcinoma.

Authors:  Yong-Bo Liu; Zhao-Xia Wei; Li Li; Hang-Sheng Li; Hui Chen; Xiao-Wen Li
Journal:  World J Gastroenterol       Date:  2003-11       Impact factor: 5.742

3.  EuroPineDB: a high-coverage web database for maritime pine transcriptome.

Authors:  Noé Fernández-Pozo; Javier Canales; Darío Guerrero-Fernández; David P Villalobos; Sara M Díaz-Moreno; Rocío Bautista; Arantxa Flores-Monterroso; M Ángeles Guevara; Pedro Perdiguero; Carmen Collada; M Teresa Cervera; Alvaro Soto; Ricardo Ordás; Francisco R Cantón; Concepción Avila; Francisco M Cánovas; M Gonzalo Claros
Journal:  BMC Genomics       Date:  2011-07-15       Impact factor: 3.969

4.  Evaluation of the similarity of gene expression data estimated with SAGE and Affymetrix GeneChips.

Authors:  Fred van Ruissen; Jan M Ruijter; Gerben J Schaaf; Lida Asgharnegad; Danny A Zwijnenburg; Marcel Kool; Frank Baas
Journal:  BMC Genomics       Date:  2005-06-14       Impact factor: 3.969

  4 in total

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