Sentences with phrase «gene expression changes during»

This is important, he added, because this technique is increasingly used for classifying diseases and their subtypes, understanding gene expression changes during development and tracking the progression of cancer.

«Our work suggests that fine - tuning messenger stability is an important mechanism orchestrating gene expression changes during normal brain development.»

The researchers used the worm's genomic information to study how gene expression changed during regeneration.

Not exact matches

«We found that simple changes have a powerful impact on gene expression,» Dean Ornish, founder and president of the Preventive Medicine Research Institute and clinical professor at the University of California, San Francisco (U.C.S.F.), said during a news conference.

Hutchinson - Gilford progeria is caused by a spontaneous mutation during conception in a gene called LMNA, which encodes a protein called prelamin A. Progeria patients experience a buildup of an abnormal version of prelamin A in their cells that, among other changes, distorts the nucleus and alters gene expression.

«Many genes that had changed their genetic expression also changed their degree of methylation during the development to mature muscle cells, which indicates a connection,» she says.

Methylation is one type of so - called epigenetic changes, alterations in genes during the lifetime that affect their expression.

Researchers at Carnegie Mellon University have developed a new dynamic statistical model to visualize changing patterns in networks, including gene expression during developmental periods of the brain.

We notably follow the time course of structural changes in response to cues that affect gene expression either transiently or permanently: changes in genome structure during transient hormonal response of differentiated cells and stable trans - differentiation of B cells to macrophages.

Adaptive changes in adipocyte gene expression differ in AKR / J and SWR / J mice during diet induced obesity.

Changes in gene expression as a response to death, and during subsequent post-mortem ischemia, might be expected to reflect stochastic variation resulting from the enzymatic processes underlying mRNA degradation.

Adaptive changes in adipocyte gene expression differ in AKR / J and SWR / J mice during diet - induced obesity.

The application of transgenesis and other genetic methods - in conjunction with total genome sequence and database information on gene expression patterns, morphological changes during development, and mutant phenotypes - should significantly enhance our ability to unravel the multilayered networks that control gene expression and differentiation.

However, researchers from the laboratories of Ralph Stadhouders, Marc A. Marti - Renom, and Thomas Graf have now applied a highly efficient and synchronous reprogramming system [2, 3] to study how genome topology, chromatin states, and gene expression dynamically change during reprogramming [4].

In the light of a review detailing the role of these genes in the cell shape changes leading to invagination, and of recent findings showing the expression of twist as mechanically sensitive, we suggest that the expression of twist in the mesoderm could alternatively be maintained by mechanical strains developed during mesoderm invagination.

Aspects of the midgut environment that change during tick feeding, such as temperature, pH, and nutrients, influence the expression of many B. burgdorferi genes, including ospC (3, 9 - 11).

These include: a) Global Clusters that consist of a small, tight subset of genes that are co-expressed under the entire spectrum of experimental conditions; b) Time Series of gene expression profiles during successive days of standard ES cell differentiation; c) Specific Gene Classes based on hierarchical clustering of transcriptional factors and ESTs; d) Expression Waves of genes with characteristic expression profiles during ES cell differentiation, juxtaposed to waves of genes that behave in the exact opposite way; e) Pathway Animations that illustrate dynamic changes in the components of individual KEGG signaling and metabolic pathways viewed in time - related manner; and, f) Search Engines to display the expression pattern of any transcript, or groups of transcripts, during the course of ES cell differentiation, or to query the association of candidate genes with various FunGenES database clustgene expression profiles during successive days of standard ES cell differentiation; c) Specific Gene Classes based on hierarchical clustering of transcriptional factors and ESTs; d) Expression Waves of genes with characteristic expression profiles during ES cell differentiation, juxtaposed to waves of genes that behave in the exact opposite way; e) Pathway Animations that illustrate dynamic changes in the components of individual KEGG signaling and metabolic pathways viewed in time - related manner; and, f) Search Engines to display the expression pattern of any transcript, or groups of transcripts, during the course of ES cell differentiation, or to query the association of candidate genes with various FunGenES databaseexpression profiles during successive days of standard ES cell differentiation; c) Specific Gene Classes based on hierarchical clustering of transcriptional factors and ESTs; d) Expression Waves of genes with characteristic expression profiles during ES cell differentiation, juxtaposed to waves of genes that behave in the exact opposite way; e) Pathway Animations that illustrate dynamic changes in the components of individual KEGG signaling and metabolic pathways viewed in time - related manner; and, f) Search Engines to display the expression pattern of any transcript, or groups of transcripts, during the course of ES cell differentiation, or to query the association of candidate genes with various FunGenES database clustGene Classes based on hierarchical clustering of transcriptional factors and ESTs; d) Expression Waves of genes with characteristic expression profiles during ES cell differentiation, juxtaposed to waves of genes that behave in the exact opposite way; e) Pathway Animations that illustrate dynamic changes in the components of individual KEGG signaling and metabolic pathways viewed in time - related manner; and, f) Search Engines to display the expression pattern of any transcript, or groups of transcripts, during the course of ES cell differentiation, or to query the association of candidate genes with various FunGenES databaseExpression Waves of genes with characteristic expression profiles during ES cell differentiation, juxtaposed to waves of genes that behave in the exact opposite way; e) Pathway Animations that illustrate dynamic changes in the components of individual KEGG signaling and metabolic pathways viewed in time - related manner; and, f) Search Engines to display the expression pattern of any transcript, or groups of transcripts, during the course of ES cell differentiation, or to query the association of candidate genes with various FunGenES databaseexpression profiles during ES cell differentiation, juxtaposed to waves of genes that behave in the exact opposite way; e) Pathway Animations that illustrate dynamic changes in the components of individual KEGG signaling and metabolic pathways viewed in time - related manner; and, f) Search Engines to display the expression pattern of any transcript, or groups of transcripts, during the course of ES cell differentiation, or to query the association of candidate genes with various FunGenES databaseexpression pattern of any transcript, or groups of transcripts, during the course of ES cell differentiation, or to query the association of candidate genes with various FunGenES database clusters.

Although individualized teaching strategies may change epigenetic gene expression and improve reading and writing during earlier stages of education, the underlying gene sequences may continue to play an etiological role for individuals with expressive writing disorder, especially as curriculum requirements increase in nature, complexity, and volume with increasing academic complexity.

Advances in neuroscience have revealed that the process of brain development is driven by a dynamic interaction between the genome (nature) and the environment (nurture).25 Epigenetic mechanisms like DNA methylation and histone acetylation are able to transduce experiences with the environment into long - lasting, even intergenerational changes in gene expression.26 — 35 So although the inherited genetic program is thought to provide a general blueprint for brain architecture, the environment is able to influence which genes are used, when they are used during the course of development, and where they are used within the developing brain.