Sentence examples for tailor gene expression from inspiring English sources

The remarkable adaptability of this bacterium is partly modulated by transcriptional regulators that tailor gene expression to the conditions encountered, with a pivotal role being played by sigma factors that target RNA polymerase to specific promoter sequences [ 2].

Thus, sigma factors activate transcription in response to environmental or developmental signals, and selectively activate transcription by recognizing different consensus promoter sequences to tailor gene expression to those signals [ 41].

Finally, chemotherapeutics might be identified to specifically tailor Mcm gene expression levels.

In relation to these factors, one may also argue that, unlike the clinical sciences domain, there is a lack of accepted, comprehensively-validated methods tailored to gene expression data.

Two recent protocols established fosmid recombineering as a tool tailored to analyze gene expression in C. elegans, providing an important advance compared to conventional reporter gene approaches [10], [11].

Although all proof-of-principle data for the prf and nmt genes were obtained using TRAD4 in P. berghei, this study provides a panel of transactivation sequences of varying strengths, which will be useful to achieve tailored levels of regulatable gene expression.

Finally, the future directions of the field are discussed with respect to using blood gene expression to tailor antipsychotic medications to individual patients, applying microRNA expression for diagnostic purposes, as well as the implications of next-generation sequencing technologies for gene expression analysis.

This regulatable mode of transcription control therefore provides a useful way to determine the dependency of gene expression by tailor-made rTFs targeting specific sequences of genes.

Individual TLRs produce overlapping but distinct patterns of gene expression, permitting tailoring of host responses to different pathogens.

These findings reveal that clock-controlled gene expression is tailored to match the physiological role of the tissue.

One of the first methods tailored for the interpretation of gene expression data in the light of the network topology applies clustering techniques to detect pathways with co-expressed genes (Fellenberg and Mewes, 1999).