Genomics, gene expression and DNA arrays

By D. Lockhart, Elizabeth A. Winzeler. Nature, 2000

2,082 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/612815413a763e0c8b1728d378a344b1733910f9

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Citations in the corpus

Complementary Profiling of Gene Expression at the Transcriptome and Proteome Levels in Saccharomyces cerevisiae*S (2002, background): “The ability to amplify very low abundance transcripts (7) pro-”
Genomics and the physiologist: bridging the gap between genes and crop response (2004, background): “For the first time the expression signatures of whole networks of genes underlying basic biochemical pathways can be observed (Lockhart and Winzeler, 2000; Seki et al., 2001).”
Gene Expression Profiling of Plants under Salt Stress (2011, methodology): “The gene expression pattern and relative abundance of each gene is determined with the help of a high-resolution laser of two different wavelengths (Lockhart and Winzeler, 2000).”
Computational prediction of transcription-factor binding site locations (2003, background): “…made recently in the accumulation and analysis of mRNA transcript profiles of a variety of cell and tissue types, including those associated with various human diseases [2]; much remains to be understood, however, about the transcriptional regulatory networks that govern these expression profiles.”
Systemic effects of chronic obstructive pulmonary disease (2003, methodology): “The new microarray technology [121, 122] is currently being used to investigate differential gene expression in the skeletal muscle of patients with COPD with and without weight loss [123].”
Spectral biclustering of microarray data: coclustering genes and conditions. (2003, background): “They have enormous promise in such areas as revealing function of genes in various cell populations, tumor classification, drug target identification, understanding cellular pathways, and prediction of outcome to therapy (Brown and Botstein 1999; Lockhart and Winzeler 2000).”
Implications of the Human Genome Project for medical science. (2001, background): “A powerful set of technologies for studying gene expression is being developed and explored.(17) These methodologies, which allow analysis of the transcription of as many as 10000 genes in one experiment, make it possible to investigate the differences that occur between various tissue types and to ”
Gastric Adenocarcinoma: Review and Considerations for Future Directions (2005, positive): “Microarray-Based Gene Expression Profiling DNA sequences do not tell us how gene expression gives rise to phenotype or how gene expression alters downstream molecular byproducts.(126) Current limitations to underAnnals of Surgery • Volume 241, Number 1, January 2005 Gastric Carcinoma—Present and Fut”
Cell and organ printing 1: protein and cell printers. (2003, background): “Microarray platform development has received wide attention recently because of its potential to be applied to massively parallel gene and protein expression profiling (Ramsay, 1998; Brown and Botstein, 1999; MacBeath and Schreiber, 2000).”
GMD@CSB.DB: the Golm Metabolome Database (2005, background): “…whole genomes of various organisms (Goffeau et al., 1996; Blattner et al., 1997; The Arabidopsis Genome Initiative, 2000; Lander et al., 2001) facilitate the development of technology platforms to monitor the cellular inventory (Fiehn et al., 2000; Lockhart and Winzeler, 2000; Corbin et al., 2003).”
A Gibbs Sampling Method to Detect Overrepresented Motifs in the Upstream Regions of Coexpressed Genes (2001, positive): “M icroarrays let biologists monitor the mRNA expression levels of several thousands of genes in one experiment (for a review, see Lockhart and Winzeler [2000]).”
Brazilian coffee genome project: an EST-based genomic resource (2006, background): “Gene arrays (Lockhart and Winzeler, 2000) hybridized with mRNA populations from a variety of coffee tissues, organs and developmental stages may provide a genomewide database of the transcriptional changes during plant growth that ultimately determine resistance to pests and diseases, productivity, ”
Inferring domain-domain interactions from protein-protein interactions (2002, methodology): “Expression profiling is now being used increasingly to analyze gene functions or to functionally group genes on the basis of their expression profiles ( Lockhart and Winzeler 2000 ).”