Literature DB >> 11316867

DNA microarray analysis of complex biologic processes.

Manjula Kurella1, Li-Li Hsiao1, Takumi Yoshida1, Jeffrey D Randall1, Gary Chow1, Satinder S Sarang1, Roderick V Jensen2, Steven R Gullans1.   

Abstract

DNA microarrays, or gene chips, allow surveys of gene expression, (i.e., mRNA expression) in a highly parallel and comprehensive manner. The pattern of gene expression produced, known as the expression profile, depicts the subset of gene transcripts expressed in a cell or tissue. At its most fundamental level, the expression profile can address qualitatively which genes are expressed in disease states. However, with the aid of bioinformatics tools such as cluster analysis, self-organizing maps, and principle component analysis, more sophisticated questions can be answered. Microarrays can be used to characterize the functions of novel genes, identify genes in a biologic pathway, analyze genetic variation, and identify therapeutic drug targets. Moreover, the expression profile can be used as a tissue or disease "fingerprint." This review details the fabrication of arrays, data management tools, and applications of microarrays to the field of renal research and the future of clinical practice.

Mesh:

Year:  2001        PMID: 11316867     DOI: 10.1681/ASN.V1251072

Source DB:  PubMed          Journal:  J Am Soc Nephrol        ISSN: 1046-6673            Impact factor:   10.121


  19 in total

Review 1.  Genetics 101: detecting mutations in human genes.

Authors:  Alison Sinclair
Journal:  CMAJ       Date:  2002-08-06       Impact factor: 8.262

2.  Analysis of light and CO(2) regulation in Chlamydomonas reinhardtii using genome-wide approaches.

Authors:  Chung-Soon Im; Zhaoduo Zhang; Jeffrey Shrager; Chiung-Wen Chang; Arthur R Grossman
Journal:  Photosynth Res       Date:  2003       Impact factor: 3.573

3.  Comparative Study of the Binding of Concanavalin A to Self-Assembled Monolayers Containing a Thiolated α-Mannoside on Flat Gold and on Nanoporous Gold.

Authors:  Binod Pandey; Yih Horng Tan; Kohki Fujikawa; Alexei V Demchenko; Keith J Stine
Journal:  J Carbohydr Chem       Date:  2012-07-02       Impact factor: 1.667

4.  Transcriptomic response of murine liver to severe injury and hemorrhagic shock: a dual-platform microarray analysis.

Authors:  Rebecca D Edmonds; Yoram Vodovotz; Claudio Lagoa; Joyeeta Dutta-Moscato; Yawching Yang; Mitchell P Fink; Ryan M Levy; Jose M Prince; David J Kaczorowski; George C Tseng; Timothy R Billiar
Journal:  Physiol Genomics       Date:  2011-08-09       Impact factor: 3.107

5.  High-scale random access on DNA storage systems.

Authors:  Alex El-Shaikh; Marius Welzel; Dominik Heider; Bernhard Seeger
Journal:  NAR Genom Bioinform       Date:  2022-01-14

6.  TIFA upregulation after hypoxia-reoxygenation is TLR4- and MyD88-dependent and associated with HMGB1 upregulation and release.

Authors:  Ning Ding; Yong Zhang; Patricia A Loughran; Qingde Wang; Allan Tsung; Timothy R Billiar
Journal:  Free Radic Biol Med       Date:  2013-05-28       Impact factor: 7.376

7.  Transcriptome analysis of renal ischemia/reperfusion injury and its modulation by ischemic pre-conditioning or hemin treatment.

Authors:  Matheus Correa-Costa; Hátylas Azevedo; Mariane Tami Amano; Giselle Martins Gonçalves; Meire Ioshie Hyane; Marcos Antonio Cenedeze; Paulo Guilherme Renesto; Alvaro Pacheco-Silva; Carlos Alberto Moreira-Filho; Niels Olsen Saraiva Câmara
Journal:  PLoS One       Date:  2012-11-14       Impact factor: 3.240

8.  Internal standard-based analysis of microarray data2--analysis of functional associations between HVE-genes.

Authors:  Igor M Dozmorov; James Jarvis; Ricardo Saban; Doris M Benbrook; Edward Wakeland; Ivona Aksentijevich; John Ryan; Nicholas Chiorazzi; Joel M Guthridge; Elizabeth Drewe; Patrick J Tighe; Michael Centola; Ivan Lefkovits
Journal:  Nucleic Acids Res       Date:  2011-06-28       Impact factor: 16.971

9.  High-Throughput Omics Technologies: Potential Tools for the Investigation of Influences of EMF on Biological Systems.

Authors:  M Blankenburg; L Haberland; H-D Elvers; C Tannert; B Jandrig
Journal:  Curr Genomics       Date:  2009-04       Impact factor: 2.236

10.  Impact of pyrrolidine-bispyrrole DNA minor groove binding agents and chirality on global proteomic profile in Escherichia Coli.

Authors:  Ya-Ting Yang; Chun-Yu Lin; Jingyueh Jeng; Chi-Wi Ong
Journal:  Proteome Sci       Date:  2013-05-23       Impact factor: 2.480

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.