Literature DB >> 17172727

Discovery of differentially expressed genes: technical considerations.

Øystein Røsok1, Mouldy Sioud.   

Abstract

Identification and characterization of differentially expressed genes may be an important first step toward the understanding of both normal physiology and disease. A multitude of techniques belonging to two main categories have been developed to identify the differences in gene expression between samples from different biological origin: selection techniques and global techniques. Whereas the selection techniques strive to identify specific differentially expressed genes, the global techniques analyze the total transcriptome or a major part of the RNA population in a defined biological material. By exploiting the known sequences of the adaptors used in suppressive subtraction hybridization technique, a strategy named novel rescue-suppression-subtractive hybridization was developed. It should facilitate the discovery of differentially expressed genes.

Mesh:

Year:  2007        PMID: 17172727     DOI: 10.1385/1-59745-165-7:115

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


  6 in total

1.  Five Novel Oncogenic Signatures Could Be Utilized as AFP-Related Diagnostic Biomarkers for Hepatocellular Carcinoma Based on Next-Generation Sequencing.

Authors:  Zheng Yu; Rongchang Wang; Fan Chen; Jianru Wang; Xiaohui Huang
Journal:  Dig Dis Sci       Date:  2018-02-13       Impact factor: 3.199

2.  A novel mRNA level subtraction method for quick identification of target-orientated uniquely expressed genes between peanut immature pod and leaf.

Authors:  Ning Wu; Kanyand Matand; Sonya Williams
Journal:  Biol Proced Online       Date:  2009-12-24       Impact factor: 3.244

3.  Random-forest algorithm based biomarkers in predicting prognosis in the patients with hepatocellular carcinoma.

Authors:  Lingyun Guo; Zhenjiang Wang; Yuanyuan Du; Jie Mao; Junqiang Zhang; Zeyuan Yu; Jiwu Guo; Jun Zhao; Huinian Zhou; Haitao Wang; Yanmei Gu; Yumin Li
Journal:  Cancer Cell Int       Date:  2020-06-17       Impact factor: 5.722

4.  GLIS2 redundancy causes chemoresistance and poor prognosis of gastric cancer based on co‑expression network analysis.

Authors:  Jingsheng Yuan; Lulu Tan; Zhijie Yin; Kaixiong Tao; Guobing Wang; Wenjia Shi; Jinbo Gao
Journal:  Oncol Rep       Date:  2018-10-15       Impact factor: 3.906

5.  The molecular underpinning of geminin-overexpressing triple-negative breast cancer cells homing specifically to lungs.

Authors:  Eman Sami; Danielle Bogan; Alfredo Molinolo; Jim Koziol; Wael M ElShamy
Journal:  Cancer Gene Ther       Date:  2021-03-15       Impact factor: 5.987

6.  Removing PCR for the elimination of undesired DNA fragments cycle by cycle.

Authors:  Jiaojiao Huan; Kangkang Wan; Yunjun Liu; Wubei Dong; Guoying Wang
Journal:  Sci Rep       Date:  2013       Impact factor: 4.379

  6 in total

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