Sentences with phrase «understanding gene interactions»

Not exact matches

The issue should be understood as «which is more important, the individual replicator (the gene), or the patterns generated by interactions of a myriad of replicators with a complex environment?»

Whether you are studying the expression of thousands of genes simultaneously using DNA microarrays, or the interaction of multiple molecules to understand intercellular signalling, the skills that will help you understand your findings are statistics, computational techniques, and modelling — so all you really need is a mathematician.

«Our work helps us to understand what causes human diversity in appearance by showing how genes involved in pigmentation subtly adapted to external environments and even social interactions during our evolution.

Rather than despairing that combinatorial interactions of diets, nuclear genes, and mitochondrial genes make the underlying biology of aging intractably complex, Rand and lead author Chen - Tseh Zhu said studies that explicitly embrace such multifactorial interactions can lead researchers to understand the inherent biological complexity of the aging process: Many genes, many cells, and many environments all contribute to the aging process.

This information is not only important because it can now help scientists try to understand how the differences between queen and worker may arise through interactions among genes, but also for the evolution of ants, and in the evolution of gene expression more generally.

Further, scientists seek to understand interactions between multiple genes and the environment.

An improved understanding of the biological background of musical aptitude can contribute new insights into, for instance, genes that affect normal brain functions, the interactions between genes and the environment and the significance of music as a form of therapy.

Hence, understanding the interrelationship between genetic markers and use of aspirin and NSAIDs, also known as gene × environment interactions, can help to identify population subgroups defined by genetic background that may preferentially benefit from chemopreventive use of these agents and offer novel insights into underlying mechanisms of carcinogenesis.

«The collaboration of scientists with computational skills, others with population genetics and large - scale genomics knowledge, and those with in - depth understanding of gene function and interaction from the molecular to the whole - tree level is a major step forward,» she said.

The researchers» strategy — generating disease - specific nerve cells, identifying a causative gene for developmental defects, validating the gene - specific defect in animal models, and then investigating interactions with other genes both in animal models and in humans — represents a promising new approach for understanding the mechanisms underlying some of the most intractable psychiatric illnesses.

Studies of the host response to viral infection have historically focused on protein - coding genes, thus our understanding of how the non-protein-coding transcriptome, including both viral - and host - derived noncoding RNAs, impacts host - virus interactions is limited.

For understanding the biology of gene - gene, gene - drug and gene - microenvironment interactions, a considerably broader range of in vitro and in vivo model systems is required — we are generating 1,000 organoid cultures from human cancers, characterising their genomes, functional dependencies and drug response, and we are expanding our in vivo models to study the interface between cancer and the immune system and microenvironment.

A physicist turned computational scientist, Graber comes to the MDI Biological Laboratory from The Jackson Laboratory, also located in Bar Harbor, where he focused on computational approaches to understanding post-transcriptional gene regulation and interactions, while also working intensively to process, analyze and interpret the genome - scale data sets generated within the Patient Derived Xenograft (PDX) cancer study program.

While this is a much more complex and daunting undertaking, by understanding the functions and network interactions of genes and proteins — both human and microbe — we will ultimately gain far greater insight into human health and reveal more solutions to dread diseases.

Understanding the metabolism and gene expression profiles as well as inter-species interactions within these complex microbial communities are necessary steps in studying the diseases and finding new treatment solutions.

To understand the interplay between genes and environment on the risk of colorectal cancer she is conducting a genome - wide investigation of interactions between genetic risk factors and many lifestyle and environmental risk factors.

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.

To understand the selection mechanism behind mutations, network - based studies were used to estimate the importance of a mutated protein compared to non-mutated ones in signalling and protein — protein interaction networks.10, 11,12,13 Proteins mutated in cancer were found having a high number of interacting partners (i.e., a high degree of connectivity), which indicates high local importance.10 Mutated proteins are also often found in the centre of the network, in key global positions, as quantified by the number of shortest paths passing through them if all proteins are connected with each other (i.e., they have high betweenness centrality; hereafter called betweenness).11, 12 Mutated proteins also have high clustering coefficients, which means their neighbours are also neighbours of each other.10, 13 Moreover, neighbourhood analysis of mutated proteins have been previously successfully used to predict novel cancer - related genes.14, 15 However, to the best of our knowledge, no study has concentrated particularly on the topological importance of first neighbours of mutated proteins in cancer, and their usefulness as drug targets themselves.

• seek greater insights in the domains of gene - environment interaction to advance our understanding of individual differences in vulnerability and resilience.