Literature DB >> 11252792

Multicolor fluorescent differential display.

Y J Cho1, J D Meade, J C Walden, X Chen, Z Guo, P Liang.   

Abstract

Differential display and DNA microarray have emerged as the two most popular methods for gene expression profiling. Here, we developed a multicolor fluorescent differential display (FDD) method that combines the virtues of both differential display in signal amplification and DNA microarray in signal analysis. As in DNA microarray, RNA samples being compared can be labeled with either a red or green fluorescent dye and displayed in a single lane, allowing convenient scoring and quantification of the differentially expressed messages. In addition, the multicolor FDD has a built-in signal proofreading capability that is achieved by labeling each RNA sample from a comparative study with both red and green fluorescent dyes followed by their reciprocal mixings in color. Thus, the multicolor FDD provides a platform upon which a sensitive and accurate gene expression profiling by differential display can be automated and digitally analyzed. It is envisioned that cDNAs generated by the multicolor FDD may also be used directly as probes for DNA microarray, allowing an integration of the two most widely used technologies for comprehensive analysis of gene expression.

Entities:  

Mesh:

Substances:

Year:  2001        PMID: 11252792     DOI: 10.2144/01303rr01

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


  14 in total

1.  A critical evaluation of differential display as a tool to identify genes involved in legume nodulation: looking back and looking forward.

Authors:  S Lievens; S Goormachtig; M Holsters
Journal:  Nucleic Acids Res       Date:  2001-09-01       Impact factor: 16.971

2.  Global analysis of gene expression by differential display: a mathematical model.

Authors:  Shitao Yang; Peng Liang
Journal:  Mol Biotechnol       Date:  2004-07       Impact factor: 2.695

Review 3.  S-phase-coupled apoptosis in tumor suppression.

Authors:  Yong-Jig Cho; Peng Liang
Journal:  Cell Mol Life Sci       Date:  2011-03-25       Impact factor: 9.261

Review 4.  Comprehensive gene expression analysis by transcript profiling.

Authors:  Jonathan Donson; Yiwen Fang; Gregg Espiritu-Santo; Weimei Xing; Andres Salazar; Susie Miyamoto; Veronica Armendarez; Wayne Volkmuth
Journal:  Plant Mol Biol       Date:  2002-01       Impact factor: 4.076

5.  Plant gene expression response to Agrobacterium tumefaciens.

Authors:  R F Ditt; E W Nester; L Comai
Journal:  Proc Natl Acad Sci U S A       Date:  2001-09-04       Impact factor: 11.205

6.  Development and optimization of a fluorescent differential display PCR system for analyzing the stress response in Lactobacillus sakei strains.

Authors:  Maria Grazia Bonomo; Maria Anna Sico; Simona Grieco; Giovanni Salzano
Journal:  Nutrients       Date:  2009-11-30       Impact factor: 5.717

7.  Killin is a p53-regulated nuclear inhibitor of DNA synthesis.

Authors:  Yong-Jig Cho; Peng Liang
Journal:  Proc Natl Acad Sci U S A       Date:  2008-04-02       Impact factor: 11.205

Review 8.  Emerging tools, concepts and ideas to track the modulator genes underlying plant drought adaptive traits: An overview.

Authors:  Parvathi Ms; Karaba N Nataraja
Journal:  Plant Signal Behav       Date:  2016

9.  Transcript profiling and gene expression analysis under drought stress in Ziziphus nummularia (Burm.f.) Wright & Arn.

Authors:  Radha Yadav; Om Prakash Verma; Jasdeep Chatrath Padaria
Journal:  Mol Biol Rep       Date:  2018-02-07       Impact factor: 2.316

10.  Identification and functional validation of a unique set of drought induced genes preferentially expressed in response to gradual water stress in peanut.

Authors:  Geetha Govind; Vokkaliga ThammeGowda Harshavardhan; Harshavardhan Vokkaliga ThammeGowda; Jayaker Kalaiarasi Patricia; Patricia Jayaker Kalaiarasi; Ramachandra Dhanalakshmi; Dhanalakshmi Ramchandra Iyer; Muthappa Senthil Kumar; Senthil Kumar Muthappa; Nese Sreenivasulu; Sreenivasulu Nese; Makarla Udayakumar; Udaya Kumar Makarla
Journal:  Mol Genet Genomics       Date:  2009-02-18       Impact factor: 3.291

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.