transcriptomics


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transcriptomics

analysis of the TRANSCRIPTOME by generating genome-wide mRNA profiles, allowing a global description of GENE EXPRESSION under specific conditions. DNA MICROARRAYS/CHIPS are useful for studying the transcriptome.
References in periodicals archive ?
The application of omics technologies in epidemiological studies raises certain practical issues of sample suitability, especially in relation to RNA quality for transcriptomics analysis, requiring that care be taken for blood samples to be collected and stored in the presence of RNA preservative.
More importantly, the study shows that transcriptomic techniques like RNA microarrays can detect changes faster and more accurately than traditional biomarkers like triglycerides.
Transcriptomics data integration reveals Jak-STAT as a common pathway affected by pathogenic intracellular bacteria in natural reservoir hosts.
In much the same way that researchers can study genomics to identify all the genes in a particular cell, and RNA transcriptomics to identify specific genes being expressed in a cell, it is now possible to study proteomics and even metabolomics, to profile all the biochemical components of a given cell, organ system, or fluid in hopes of identifying specific biomarkers for a given condition.
Mapped to the life science re search process, GeneData delivers various applications for drug discovery and drug development, diagnostics and toxicogenomics, and in areas such as transcriptomics, proteomics, and metabolomics.
Transcriptomics and Metabolomics for the Analysis of Grape Berry Development
Along with Hoft, SLU researchers Yie-Hwa Chang, David Ford and James Edwards are expected to explore the areas of transcriptomics (how RNA molecules react), proteomics (the structure and function of proteins), lipidomics (the networks and pathways of lipids) and metabolomics (metabolites, small molecules produced during processes such as digestion) as part of the contract.
The global transcriptomics technologies market is expected to reach USD 6.
The first part addresses mechanisms of evolution in the genus, including host influence, recombination, repetitive DNA sequences, and study of these processes through genomics and transcriptomics.
Sogaard's presentation will highlight how transcriptomics, proteomics and metabonomics are used to establish patterns of biological characteristics that make it possible to diagnose MDD to predict treatment responses and to segment patient populations.
Finally, by means of transcriptomics studies, we can identify new components involved in this process.
Transcriptomics of the Compensatory Growth in European Sea Bass Dicentrarchus labrax