Literature DB >> 11084867

Fundamentals of DNA hybridization arrays for gene expression analysis.

W M Freeman1, D J Robertson, K E Vrana.   

Abstract

DNA hybridization arrays [also known as macroarrays, microarrays and/or high-density oligonucleotide arrays (Gene Chips)] bring gene expression analysis to a genomic scale by permitting investigators to simultaneously examine changes in the expression of literally thousands of genes. For hybridization arrays, the general approach is to immobilize gene-specific sequences (probes) on a solid state matrix (nylon membranes, glass microscope slides, silicon/ceramic chips). These sequences are then queried with labeled copies of nucleic acids from biological samples (targets). The underlying theory is that the greater the expression of a gene, the greater the amount of labeled target, and hence, the greater output signal. In spite of the simplicity of the experimental design, there are at least four different platforms and several different approaches to processing and labeling the biological samples. Moreover, investigators must also determine whether they will utilize commercially available arrays or generate their own. This review will cover the status of the hybridization array field with an eye toward underlying principles and available technologies. Future developments and technological trends will also be evaluated.

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Year:  2000        PMID: 11084867     DOI: 10.2144/00295rv01

Source DB:  PubMed          Journal:  Biotechniques        ISSN: 0736-6205            Impact factor:   1.993


  16 in total

1.  Reproducible and inexpensive probe preparation for oligonucleotide arrays.

Authors:  Y Zhang; B D Price; S Tetradis; S Chakrabarti; G Maulik; G M Makrigiorgos
Journal:  Nucleic Acids Res       Date:  2001-07-01       Impact factor: 16.971

2.  Comparative genomic hybridization analysis of sperm DNA apoptosis after exposure to heat shock.

Authors:  Sylvia L Mann; William C Patton; Alan King; Philip J Chan
Journal:  J Assist Reprod Genet       Date:  2002-04       Impact factor: 3.412

3.  Fusarium graminearum-induced changes in gene expression between Fusarium head blight-resistant and susceptible wheat cultivars.

Authors:  Amy Bernardo; Guihua Bai; Peiguo Guo; Kai Xiao; Arron C Guenzi; Patricia Ayoubi
Journal:  Funct Integr Genomics       Date:  2006-04-25       Impact factor: 3.410

4.  RNA expression profiles and data mining of sugarcane response to low temperature.

Authors:  Fábio T S Nogueira; Vicente E De Rosa; Marcelo Menossi; Eugênio C Ulian; Paulo Arruda
Journal:  Plant Physiol       Date:  2003-08       Impact factor: 8.340

5.  Repression of anti-apoptotic genes via AP-1 as a mechanism of apoptosis induction in ventricular cardiomyocytes.

Authors:  A Schlieper; M Anwar; J Heger; H M Piper; G Euler
Journal:  Pflugers Arch       Date:  2006-11-18       Impact factor: 3.657

Review 6.  Current concepts in the molecular genetics of pediatric brain tumors: implications for emerging therapies.

Authors:  Mandeep S Tamber; Krishan Bansal; Muh-Lii Liang; Todd G Mainprize; Bodour Salhia; Paul Northcott; Michael Taylor; James T Rutka
Journal:  Childs Nerv Syst       Date:  2006-09-02       Impact factor: 1.475

7.  Rapid real-time recirculating PCR using localized surface plasmon resonance (LSPR) and piezo-electric pumping.

Authors:  J M Haber; P R C Gascoyne; K Sokolov
Journal:  Lab Chip       Date:  2017-08-08       Impact factor: 6.799

8.  DNA microarrays for virus detection in cases of central nervous system infection.

Authors:  Yury S Boriskin; Philip S Rice; Richard A Stabler; Jason Hinds; Hasan Al-Ghusein; Keith Vass; Philip D Butcher
Journal:  J Clin Microbiol       Date:  2004-12       Impact factor: 5.948

9.  Microarray analysis of gene expression changes in feeding female and male lone star ticks, Amblyomma americanum (L).

Authors:  Majd N Aljamali; Vijay G Ramakrishnan; Hua Weng; James S Tucker; John R Sauer; Richard C Essenberg
Journal:  Arch Insect Biochem Physiol       Date:  2009-08       Impact factor: 1.698

10.  Peptide nucleic acid-based array for detecting and genotyping human papillomaviruses.

Authors:  Jae-jin Choi; Chunhee Kim; Heekyung Park
Journal:  J Clin Microbiol       Date:  2009-04-15       Impact factor: 5.948

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