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Gene Expression and Profiling

2016
Transcriptomics analysis has been widely applied to explore the unknown genes or factors in various biological processes, traits, diseases, and drug treatment. By screening entire RNAs, this technique implicates novel genes and pathways related to a particular condition.
Chao Xu   +3 more
openaire   +2 more sources

Gene Expression Profiling in Rheumatology

2007
In the last decade, the analysis of gene expression in tissues and cells has evolved from the analysis of a selected set of genes to an efficient high throughput whole-genome screening approach of potentially all genes expressed. Development of sophisticated methodologies such as microarray technology allows an open-ended survey to identify ...
Cornelis L. Verweij   +5 more
openaire   +3 more sources

Expression Profile of Active Genes in Granulocytes [PDF]

open access: possibleBlood, 1998
A number of genes active in granulocytes have been intensively studied as to the function of their products and their expression controls. However, the intensities and relative order of these gene activities have not been studied. This report describes an expression profile of 748 different species of active genes in human peripheral granulocytes ...
Kousaku Okubo   +5 more
openaire   +2 more sources

Gene Expression Profiling in Asthma

2013
Transcriptomics (gene expression profiling) refers to the quantitative and qualitative characterization of the collection of ribose nucleic acid (RNA) elements expressed in a biological system and represents one of the first truly genome-wide hypothesis-free investigative approaches in molecular biology.
Joanne E. Sordillo, Benjamin A. Raby
openaire   +3 more sources

Gene expression profiling in adrenocortical neoplasia

Molecular and Cellular Endocrinology, 2012
Transcriptome studies of adrenocortical tumors have shown clear differences between adenomas and carcinomas and identified two subgroups of carcinomas with different prognoses. This review focuses on how transcriptomes have enriched our knowledge about genes previously identified by classical candidate gene approaches, uncovered novel genes relevant to
Jérôme Bertherat   +2 more
openaire   +3 more sources

Gene Expression Profiling: Metatranscriptomics

2011
Metatranscriptomics has been developed to help understand how communities respond to changes in their environment. Metagenomic studies provided a snapshot of the genetic composition of the community at any given time. However, short-timescale studies investigating the response of communities to rapid environmental changes (e.g.
Jack A. Gilbert, Margaret Hughes
openaire   +3 more sources

Methods to Profile Gene Expression

Trends in Cardiovascular Medicine, 2001
Molecular biology has been influenced tremendously by recent technological advancements in miniaturization and automation. One consequence has been the development of robust and sensitive methods to analyze gene expression. The ability to evaluate systematically the expression of every mammalian gene is now technically feasible.
openaire   +3 more sources

Tissue Classification with Gene Expression Profiles

Journal of Computational Biology, 2000
Constantly improving gene expression profiling technologies are expected to provide understanding and insight into cancer-related cellular processes. Gene expression data is also expected to significantly aid in the development of efficient cancer diagnosis and classification platforms.
Zohar Yakhini   +5 more
openaire   +4 more sources

Gene expression profiling of Arabidopsis meiocytes

Plant Biology, 2011
AbstractMeiosis is a special type of cell division present in all organisms that reproduce by sexual reproduction. It ensures the transition between the sporophytic and gametophytic state and allows gamete production through meiotic recombination and chromosome number reduction.
Libeau, Pierre   +7 more
openaire   +5 more sources

Gene Expression Profiling of Breast Cancer

Annual Review of Pathology: Mechanisms of Disease, 2007
DNA microarray platforms for gene expression profiling were invented relatively recently, and breast cancer has been among the earliest and most intensely studied diseases using this technology. The molecular signatures so identified help reveal the biologic spectrum of breast cancers, provide diagnostic tools as well as prognostic and predictive gene ...
Matt van de Rijn   +2 more
openaire   +3 more sources

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