Literature DB >> 17935276

cDNA microarrays: identification of gene signatures and their application in clinical practice.

Zvonko Magic1, Sinisa Radulovic, Mirjana Brankovic-Magic.   

Abstract

Sequencing of human genome introduced the new postgenomic era in medicine. A novel microarray technology represents a novel genetic platform which is being widely exploited to bridge the gap between gene sequence and function. Basically, with this technique it is possible to simultaneously measure the activity of virtually all genes in the genome. The result of these experiments are spots whose brightness varies from gene to gene corresponding to the transcriptional activity of the examined genes. It makes it possible to create experiments looking for genes whose expression correlates with the presence of tumor, with progression from a benign to a malignant condition, or with progression from a low grade to high grade malignancy. Tumor types can be more specifically identified, and differences in gene expression can be used to detect tumors that already demonstrate gene expression changes associated with increased risk of metastasis. Gene expression profiles will also help clinicians make decisions about the optimal treatment of cancer patients.

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Year:  2007        PMID: 17935276

Source DB:  PubMed          Journal:  J BUON        ISSN: 1107-0625            Impact factor:   2.533


  4 in total

1.  Expression Profiling of Hspb1 and Tp53 Genes through RT-qPCR in Different Cancer Types of Canis familiaris.

Authors:  Rashid Saif; Ali Raza Awan; Muhammad Tayyab; Masroor Ellahi Babar; Asim Khalid Mahmood; Asim Khalid Mahmood; Zia Ullah; Saeeda Zia; Muhammad Wasim
Journal:  Iran J Biotechnol       Date:  2017-09-27       Impact factor: 1.671

2.  Non-parametric change-point method for differential gene expression detection.

Authors:  Yao Wang; Chunguo Wu; Zhaohua Ji; Binghong Wang; Yanchun Liang
Journal:  PLoS One       Date:  2011-05-31       Impact factor: 3.240

3.  Exploring the Mechanism of Skeletal Muscle in a Tacrolimus-Induced Posttransplantation Diabetes Mellitus Model on Gene Expression Profiles.

Authors:  Chenlei Zheng; Cheng Wang; Tan Zhang; Ding Li; Xiao-Feng Ni; Jian-Hu Lin; Linxiao Sun; Bicheng Chen
Journal:  J Diabetes Res       Date:  2020-01-10       Impact factor: 4.011

4.  Genomic and Proteomic Biomarker Discovery in Neurological Disease.

Authors:  Rilee H Robeson; Andrew M Siegel; Travis Dunckley
Journal:  Biomark Insights       Date:  2008-02-09
  4 in total

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