Literature DB >> 14538118

cDNA microarray technology and its applications.

C C Xiang1, Y Chen.   

Abstract

The cDNA microarray is the most powerful tool for studying gene expression in many different organisms. It has been successfully applied to the simultaneous expression of many thousands of genes and to large-scale gene discovery, as well as polymorphism screening and mapping of genomic DNA clones. It is a high throughput, highly parallel RNA expression assay technique that permits quantitative analysis of RNAs transcribed from both known and unknown genes. This technique provides diagnostic fingerprints by comparing gene expression patterns in normal and pathological cells, and because it can simultaneously track expression levels of many genes, it provides a source of operational context for inference and predication about complex cell control systems. This review describes this recently developed cDNA microarray technology and its application to gene discovery and expression, and to diagnostics for certain diseases.

Year:  2000        PMID: 14538118     DOI: 10.1016/s0734-9750(99)00035-x

Source DB:  PubMed          Journal:  Biotechnol Adv        ISSN: 0734-9750            Impact factor:   14.227


  10 in total

1.  Quantifying gene network connectivity in silico: scalability and accuracy of a modular approach.

Authors:  N Yalamanchili; D E Zak; B A Ogunnaike; J S Schwaber; A Kriete; B N Kholodenko
Journal:  Syst Biol (Stevenage)       Date:  2006-07

2.  An on-chip thin film photodetector for the quantification of DNA probes and targets in microarrays.

Authors:  F Fixe; V Chu; D M F Prazeres; J P Conde
Journal:  Nucleic Acids Res       Date:  2004-05-17       Impact factor: 16.971

Review 3.  Oligonucleotide microarray technology and its application to Mycobacterium avium subsp. paratuberculosis research: a review.

Authors:  Radka Pribylova; Petr Kralik; Ivo Pavlik
Journal:  Mol Biotechnol       Date:  2009-01-06       Impact factor: 2.695

Review 4.  Nanomaterial-assisted microfluidics for multiplex assays.

Authors:  Yanping Wang; Yanfeng Gao; Yi Yin; Yongchun Pan; Yuzhen Wang; Yujun Song
Journal:  Mikrochim Acta       Date:  2022-03-11       Impact factor: 5.833

5.  Diagnosis of HNF-1alpha mutations on a PNA zip-code microarray by single base extension.

Authors:  Jae Yang Song; Hyun Gyu Park; Sung-Ouk Jung; JaeChan Park
Journal:  Nucleic Acids Res       Date:  2005-02-01       Impact factor: 16.971

6.  RNA Amplification Protocol Leads to Biased Polymerase Chain Reaction Results Especially for Low-Copy Transcripts of Human Bone Marrow-Derived Stromal Cells.

Authors:  Carolin Coenen; Stefanie Liedtke; Gesine Kogler
Journal:  PLoS One       Date:  2015-10-20       Impact factor: 3.240

7.  Comparison between direct and reverse electroporation of cells in situ: a simulation study.

Authors:  Leila Towhidi; Delaram Khodadadi; Nataly Maimari; Ryan M Pedrigi; Henry Ip; Zoltan Kis; Brenda R Kwak; Tatiana W Petrova; Mauro Delorenzi; Rob Krams
Journal:  Physiol Rep       Date:  2016-03

Review 8.  Transcriptomic Studies of the Effect of nod Gene-Inducing Molecules in Rhizobia: Different Weapons, One Purpose.

Authors:  Irene Jiménez-Guerrero; Sebastián Acosta-Jurado; Pablo Del Cerro; Pilar Navarro-Gómez; Francisco Javier López-Baena; Francisco Javier Ollero; José María Vinardell; Francisco Pérez-Montaño
Journal:  Genes (Basel)       Date:  2017-12-21       Impact factor: 4.096

Review 9.  RNA sequencing and its applications in cancer and rare diseases.

Authors:  Selvi Ergin; Nasim Kherad; Meryem Alagoz
Journal:  Mol Biol Rep       Date:  2022-01-06       Impact factor: 2.742

10.  RNA-seq and microarray complement each other in transcriptome profiling.

Authors:  Sunitha Kogenaru; Yan Qing; Yinping Guo; Nian Wang
Journal:  BMC Genomics       Date:  2012-11-15       Impact factor: 3.969

  10 in total

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