Sentences with phrase «interested in gene expression»

Darnell's comprehensive history of RNA research will reward anyone interested in gene expression.

Not exact matches

Sebat's team was especially interested in the parts of noncoding DNA that regulate gene expression.

Because this imprinting affects hundreds of genes that are non-coding, including microRNAs and non-coding RNAs, it's a very interesting fine - tuning mechanism for the dosage of gene expression in the brain and elsewhere in the body.»

Epiviz implements multiple visualization methods for location - based data (such as genomic regions of interest) and feature - based data (such as gene expression), using interactive data visualization techniques not available in web - based genome browsers.

«The other thing I think is interesting is that there are not that many cases where people have been able to use gene expression, absent any genetics, to zoom in so precisely on a genetic change that causes an obvious trait,» he added.

One especially interesting area of inquiry, according to Greenberg, includes the regulatory elements that control the expression of genes in response to sensory experience.

This under - expression was particularly interesting because although hundreds of genes have already been identified for their presumed roles in autistic disorders, each one alone can at best only explain 1 % of cases.

«This technique will be useful for other studies interested in characterising the link between gene expression and physical, external traits.»

Easily accessible from nasal biopsies, these cells — which belong to nerve tissues and can differentiate into neurons — constitute an interesting model to identify the genes and proteins whose expression is deregulated in patients with ASD.

Understanding enhancer functions is of great interest due to their importance in gene expression as well as evolution and disease.

The characteristics in which Cembrowski and his collaborators were interested included connectivity (downstream brain targets), gene expression, and electrophysiology (the science behind the spikes).

His lab is interested in the regulation of gene expression by mRNA processing in C. elegans and human cells.

He group is also interested in high throughput gene expression data analysis, especially using Bayesian network (BN) approaches.

One interesting hypothesis by the study authors looks at the role that thyroid hormone plays in regulating the expression of a gene called the amyloid precursor protein (APP), which has a role in Alzheimer's.

The Morris lab is specifically interested in utilizing the recently described endogenous non-coding RNA pathway in human cells to epigenetically modulate gene expression in those genes involved in HIV, cystic fibrosis, and cancer.

There has been a rapidly increasing interest in whether environmental factors modulate the establishment and maintenance of epigenetic modifications, and thereby affect gene expression and phenotype in humans and wildlife.

He is also interested in genes induced by the interferon response, and his future plans include investigating genes identified in the expression of genome - wide association screens for predisposition to cancers.

We hope our content will be of particular interest to industrial or academic scientists active in R&D in molecular biotechnology, gene transfer and expression, applied microbiology, environmental biotechnology, biofuels and bioenergy, nanotechnology, bioprocessing, chemical biotechnology, tissue engineering and regenerative medicine, nucleic acid therapeutics and vaccines, plant biotechnology, and patenting and regulatory issues.

The Sarma laboratory is interested in the mechanisms of epigenetic gene regulation, or how the dynamic modifications of the architecture of chromatin, the complex of DNA and proteins within the nucleus of our cells, impacts gene expression and cellular function.

We have a longstanding interest in understanding gene expression regulation, and in our wetlab at the Sanger Institute use mouse T helper cells as a model of cell differentiation.

The gene - of - interest is first inspected on three aspects in the BXD GRP, i.e. the existence of genetic variations, e (p) QTLs, and its expression pattern across strains.

When bred to mice with a cre recombinase gene under the control of a promoter of interest, the STOP sequence of the targeted gene is deleted in the tissue of interest, and EYFP expression is observed.

Real rates of change can only be determined from actual transcript numbers, and this gives us the kinetics of gene expression which we are interested in.»

We are particularly interested in how miRNAs can generate thresholds in target gene expression and mediate feedforward and feedback loops in gene networks.

We are particularly interested in how cells use gene networks to make robust decisions even in the presence of significant fluctuations in gene expression.

High - throughput ChIP - Seq: One of the major questions for researchers interested in understanding chromatin dynamics is to investigate how protein - DNA interactions alter Epigenetic profiles and subsequent gene expression.

For instance, a researcher interested in cardiovascular disease could access GTEx data to view all the genetic variants in the human genome that affect gene expression in the heart.

His research interests are phenotypic plasticity, gene expression and cell wall chemistry in the freshwater green alga,

Besides information gathered to answer specific experimental questions, as determined by the interests of individual partners [35]--[41], the collective data offered the opportunity to search for coordinated gene expression patterns in a systematic exploration of the mouse ES transcriptome under a battery of different experimental settings, thus minimizing possible site - specific artifacts.

Kennedy is interested in understanding why reduced gene expression in ribosomes enhances longevity in yeast and worms — ribosomes are tiny organelles that occur within the cell and are involved in the production of proteins.

The Bioinformatics group uses computational methods to analyse genome sequences, amino acid sequences, and gene expression data, both to identify new genes of interest and to determine their structure, function and role in the cell.

«We're interested in identifying genes that are up - or down - regulated compared to normal and how their expression is regulated during tumor formation.

Specifically, we have generated clusters of transcripts that behave the same way under the entire spectrum of the sixty - seven experimental conditions; we have assembled genes in groups according to their time of expression during successive days of ES cell differentiation; we have included expression profiles of specific gene classes such as transcription regulatory factors and Expressed Sequence Tags; transcripts have been arranged in «Expression Waves» and juxtaposed to genes with opposite or complementary expression patterns; we have designed search engines to display the expression profile of any transcript during ES cell differentiation; gene expression data have been organized in animated graphs of KEGG signaling and metabolic pathways; and finally, we have incorporated advanced functional annotations for individual genes or gene clusters of interest and links to microarray and genomic expression during successive days of ES cell differentiation; we have included expression profiles of specific gene classes such as transcription regulatory factors and Expressed Sequence Tags; transcripts have been arranged in «Expression Waves» and juxtaposed to genes with opposite or complementary expression patterns; we have designed search engines to display the expression profile of any transcript during ES cell differentiation; gene expression data have been organized in animated graphs of KEGG signaling and metabolic pathways; and finally, we have incorporated advanced functional annotations for individual genes or gene clusters of interest and links to microarray and genomic expression profiles of specific gene classes such as transcription regulatory factors and Expressed Sequence Tags; transcripts have been arranged in «Expression Waves» and juxtaposed to genes with opposite or complementary expression patterns; we have designed search engines to display the expression profile of any transcript during ES cell differentiation; gene expression data have been organized in animated graphs of KEGG signaling and metabolic pathways; and finally, we have incorporated advanced functional annotations for individual genes or gene clusters of interest and links to microarray and genomic Expression Waves» and juxtaposed to genes with opposite or complementary expression patterns; we have designed search engines to display the expression profile of any transcript during ES cell differentiation; gene expression data have been organized in animated graphs of KEGG signaling and metabolic pathways; and finally, we have incorporated advanced functional annotations for individual genes or gene clusters of interest and links to microarray and genomic expression patterns; we have designed search engines to display the expression profile of any transcript during ES cell differentiation; gene expression data have been organized in animated graphs of KEGG signaling and metabolic pathways; and finally, we have incorporated advanced functional annotations for individual genes or gene clusters of interest and links to microarray and genomic expression profile of any transcript during ES cell differentiation; gene expression data have been organized in animated graphs of KEGG signaling and metabolic pathways; and finally, we have incorporated advanced functional annotations for individual genes or gene clusters of interest and links to microarray and genomic expression data have been organized in animated graphs of KEGG signaling and metabolic pathways; and finally, we have incorporated advanced functional annotations for individual genes or gene clusters of interest and links to microarray and genomic resources.

His research interests are phenotypic plasticity, gene expression and cell wall chemistry in the freshwater green alga, Desmodesmus.

These mice were created and deposited by The Pleiades Promoter Project (Centre for Molecular Medicine and Therapeutics, University of British Columbia); their goal is to generate 160 fully characterized, human DNA promoters of less than 4 kb (MiniPromoters) to drive gene expression in defined brain regions of therapeutic interest for studying disorders such as Alzheimer's disease, Parkinson's disease, Huntington's disease, Amyotrophic Lateral Sclerosis (Lou Gehrig's disease), Multiple Sclerosis, Spinocerebellar Ataxia, Depression, Autism, and Cancer.

To develop a better understanding of the preventative and therapeutic potentials of LA, much of the current interest is focused on elucidating its molecular mechanisms in redox dependent gene expression.