Literature DB >> 15379624

DNA microarrays: tools for the 21st Century.

Sridar V Chittur1.   

Abstract

Profiling of gene expression patterns with microarray technology is widely used in both basic and applied research. DNA microarrays have also shown great promise in clinical medicine and are paving the way toward effective pharmaceutical drug discovery and individualized drug regimens. With growing utilization of this high-throughput technology, new applications are making headlines on a regular basis. This review aims to outline the pros and cons of this methodology and direct the reader towards available useful resources. Various major array formats such as high-density oligonucleotide arrays and spotted cDNA arrays are examined, and advantages and options for using each format are presented. Factors important for the design and analysis of microarray experiments are also discussed.

Mesh:

Year:  2004        PMID: 15379624     DOI: 10.2174/1386207043328454

Source DB:  PubMed          Journal:  Comb Chem High Throughput Screen        ISSN: 1386-2073            Impact factor:   1.339


  7 in total

1.  Time-resolved Förster-resonance-energy-transfer DNA assay on an active CMOS microarray.

Authors:  David Eric Schwartz; Ping Gong; Kenneth L Shepard
Journal:  Biosens Bioelectron       Date:  2008-04-26       Impact factor: 10.618

2.  Cloning and characterization of a novel hepatitis B virus core binding protein C12.

Authors:  Yin-Ying Lu; Jun Cheng; Yong-Ping Yang; Yan Liu; Lin Wang; Ke Li; Ling-Xia Zhang
Journal:  World J Gastroenterol       Date:  2005-09-28       Impact factor: 5.742

Review 3.  Integrating genomic and clinical medicine: searching for susceptibility genes in complex lung diseases.

Authors:  Ankit A Desai; Pirro Hysi; Joe G N Garcia
Journal:  Transl Res       Date:  2007-12-18       Impact factor: 7.012

4.  Free energy of DNA duplex formation on short oligonucleotide microarrays.

Authors:  Li Zhang; Chunlei Wu; Roberto Carta; Haitao Zhao
Journal:  Nucleic Acids Res       Date:  2006-12-14       Impact factor: 16.971

5.  Transcriptional regulatory network refinement and quantification through kinetic modeling, gene expression microarray data and information theory.

Authors:  Abdallah Sayyed-Ahmad; Kagan Tuncay; Peter J Ortoleva
Journal:  BMC Bioinformatics       Date:  2007-01-23       Impact factor: 3.169

6.  PDEGEM: Modeling non-uniform read distribution in RNA-Seq data.

Authors:  Yuchao Xia; Fugui Wang; Minping Qian; Zhaohui Qin; Minghua Deng
Journal:  BMC Med Genomics       Date:  2015-05-29       Impact factor: 3.063

7.  Gene Expression Profiles - What the Clinician Needs to Know.

Authors:  Koraljka Gall-Troselj
Journal:  EJIFCC       Date:  2005-05-17
  7 in total

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