Expression Profiling with cDNA Microarrays: A User’s Perspective and Guide
Chapter
Abstract
Genomic science has now advanced to the point where it is possible to define the genomic structure and gene content of any organism. Such advances have led to the development of expression tools that can study gene expression in a massively parallel fashion. These methods are also affordable, sensitive, discriminating, and require minimal sample RNA. cDNA microarray expression profiling is a rapidly developing technology that makes possible monitoring of gene expression on a genome-wide scale.
Keywords
Hybridisation Solution Label Target Expression Tool Dual Colour Image Element Preparation
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References
- Alizadeh AA, Eisen MB, Davis RE, Ma C, Lossos IS, Rosenwald A, Boldrick JC, Sabet H, Tran T, Yu X, Powell JI, Yang L, Marti GE, Moore T, Hudson J Jr, Lu L, Lewis DB, Tibshirani R, Sherlock G, Chan WC, Greiner TC, Weisenburger DD, Armitage JO, Warnke R, Staudt LM (2000) Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling. Nature 403(6769):503–511PubMedCrossRefGoogle Scholar
- Bonaldo MF, Lennon G, Soares MB (1996) Normalization and subtraction: two approaches to facilitate gene discovery. Genome Res 6(9):791–806PubMedCrossRefGoogle Scholar
- DeRisi J, Penland L, Brown PO, Bittner ML, Meitzer PS, Ray M, Chen Y, Su YA, Trent JM (1996) Use of a cDNA microarray to analyse gene expression patterns in human cancer. Nat Genet 14(4):457–460PubMedCrossRefGoogle Scholar
- DeRisi JL, Iyer VR, Brown PO (1997) Exploring the metabolic and genetic control of gene expression on a genomic scale. Science 278:680–686PubMedCrossRefGoogle Scholar
- Dixon AK, Richardson PJ, Lee K, Carter NP, Freeman TC (1998) Expression profiling of single cells using 3 prime end amplification (TPEA) PCR. Nucleic Acids Res 26(19):4426–4431PubMedCrossRefGoogle Scholar
- Eisen MB, Spellman PT, Brown PO, Botstein D (1998) Cluster analysis and display of genome-wide expression patterns. Proc Natl Acad Sei USA 95(25): 14863–14868CrossRefGoogle Scholar
- Grimmond S, Van Hateren N, Siggers P, Arkell R, Larder R, Soares MB, Bonaldo M, Smith L, Tymowska-Lalanne Z, Wells C, Greenfield A (2000) Sexually dimorphic expression of protease nexin-1 and Vanin-1 in the developing mouse gonad prior to overt differentiation suggests a role in mammalian sexual development Hum Mol Genet 9(10):1553–1560PubMedCrossRefGoogle Scholar
- Hegde P, Qi R, Abernathy K, Gay C, Dharap S, Gaspard R, Earle-Hughes J, Snesrud E, Lee N, Quackenbush J (2000) A concise guide to cDNA microarray Anal Biotech 29(3):548–562Google Scholar
- Kacharmina JE, Crino PB, Eberwine J (1999) Preparation of cDNA from single cells and subcellular regions. Methods Enzymol 303:3–18PubMedCrossRefGoogle Scholar
- Luo L, Salunga RC, Guo H, Bittner A, Joy KC, Galindo JE, Xiao H, Rogers KE, Wan JS, Jackson MR, Erlander MG (1999) Gene expression profiles of laser-captured adjacent neuronal subtypes. Nat Med 5(l):117–122PubMedGoogle Scholar
- Schena M, Shalon D, Davis RW, Brown PO (1995) Quantitative monitoring of gene expression patterns with a complementary DNA microarray. Science 270:467–470PubMedCrossRefGoogle Scholar
- Schena M, Shalon D, Heller R, Chai A, Brown PO, Davis RW (1996) Parallel human genome analysis: microarray-based expression monitoring of 1000 genes. Proc Natl Acad Sei USA 93:10614–10619CrossRefGoogle Scholar
- Soares MB, Bonaldo MF, Jelene P, Su L, Lawton L, Efstratiadis A (1994) Construction and characterization of a normalized cDNA library. Proc Natl Acad Sei USA 91(20):9228–9232CrossRefGoogle Scholar
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