Sentences with phrase «as gene expression patterns»

She and her colleagues propose that other replication inhibitors to fight cancer will also produce unique double strand break profiles, as gene expression patterns would dictate the locations of replication - transcription conflicts.

Not exact matches

Recent advances in the understanding of cancer have led to more personalized therapies, such as drugs that target particular proteins and tests that analyze gene expression patterns in tumors to predict a patient's response to therapy.

PATTERNS of gene expression in a woman's blood may give a clue as to whether she is likely to get pregnant using IVF.

«By observing neuronal gene expression in these distinct pathways during development, we detected common patterns, as if an underlying genetic language was bringing them together.»

Sure enough, salmon with a certain pattern of gene expression in their gill tissue were 13.5 times more likely to die than those that didn't carry the «you've not got long to live» signature, as co-author and University of British Columbia (U.B.C.) fish physiologist Tony Farrell puts it.

SIX3 and a related gene, SIX2, with a similar pattern of expression in human beta cells, encode proteins known as transcription factors that control the expression of many other genes in the cell.

It isn't clear exactly why the differences fade, Hochedlinger says, but it may be that the expression of embryonic genes is strengthened as the cells grow in culture, gradually overwriting the cells» old gene - expression patterns.

For Helicobacter pylori, a pathogenic bacterium that colonizes over 40 percent of the world population and is associated with gastric cancer, the team discovered that epigenetic heterogeneity can quickly emerge as a single cell divides, and different subpopulations with distinct methylation patterns have distinct gene expressions patterns.

Computational genomics includes: bio-sequence analysis, gene expression data analysis, phylogenetic analysis, and more specifically pattern recognition and analysis problems such as gene finding, motif finding, gene function prediction, fusion of sequence and expression information, and evolutionary models.

Surprisingly, they found that although the patterns of gene expression — as shown by the RNA sequencing — differed between the hepatocellular carcinomas and the liver cancers with biliary phenotype and depended on the histological type, the overall pattern of mutations in the cells was actually similar between the tumors — of either type — that had emerged in patients who had had infections with either hepatitis C or B, and were different in patients without such infections.

The epigenetic pattern consists of molecules known as methyl groups, which are placed on the genes and affect their function and gene expression.

MEGENA (for Multiscale Embedded Gene Co-expression Network Analysis) projects gene expression data onto a three dimensional sphere, allowing scientists to study hierarchical organization patterns in complex networks that are characteristic of diseases such as cancer, obesity, and AlzheimeGene Co-expression Network Analysis) projects gene expression data onto a three dimensional sphere, allowing scientists to study hierarchical organization patterns in complex networks that are characteristic of diseases such as cancer, obesity, and Alzheimegene expression data onto a three dimensional sphere, allowing scientists to study hierarchical organization patterns in complex networks that are characteristic of diseases such as cancer, obesity, and Alzheimer's.

Analysis of the most aggressive of these cells revealed a pattern of gene expression distinct from that known to occur in breast - to - bone metastasis, as described in an earlier paper by Massagué.

Gene expression profiling tests, such as Oncotype Dx, analyze the patterns of 21 different genes within cancer cells to help predict how likely it is that a women's cancer will recur within 10 years after initial treatment and how beneficial chemotherapy will be to her.

The patterns of these polymorphic genes and their expression profiles comprise the molecular signatures of unique pathophenotypes, offering the promise of diagnostic, prognostic, and therapeutic specificity; the definition of disease becomes «personalized», as does its specific therapeutic targets.

And next - generation sequencing, in particular, RNA sequencing, allows researchers to delineate changing patterns of gene expression as new cell types form.

A detailed comparison of gene expression signatures between ETP ALL tumors and and normal human hematopoietic progenitor cells revealed a somewhat surprising finding: ETP - ALL expression patterns were less consistent with early T - cell precursors, as might have been expected, but more similar to the expression profile of normal hematopoietic stem cells and granulocyte macrophage precursors.

Figure 4: Patterns of Hox gene expression have diverged between arthropods and their relatives such as centipedes (top left and top right) and onychophorans (center and bottom left and right).

Specifically, use of post-mortem material is crucial for studying the patterns of normal gene expression underlying tissue specificity within individuals, as sampling such tissues from living individuals would be impossible.

Using novel gene - array technology to measure the extent of gene expression in thousands of genes simultaneously, this study shows that as humans diverged from their ape ancestors in the last five million years, genes for transcription factors — which control the expression of other genes — were four times as likely to have changed their own expression patterns as the genes they regulate.

The finding is a landmark in the new field of evolutionary developmental biology, or «evo - devo,» as its proponents call it, in which scientists study the patterns of gene expression in embryos to peer backward in time.

Analyzing patterns of gene expression in individual human immune system cells, the researchers refined the definitions of the types known as dendritic cells and monocytes and identified a novel type that had been overlooked.

This gene was confirmed as the Nasonia ortholog of doublesex based on protein domains, expression pattern, sex specific splice forms, and experimental demonstration that splice forms are associated with sex in a gynandromorph producing line [18].

After clicking on any of the panels, for example on the top left panel marked with a red asterisk, the expression profiles of the individual genes that follow the corresponding pattern as well as their names appear in a new window (as shown in B).

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.

C. Patterns of expression of selected pluripotency genes in subpopulations isolated as shown in A above.

The FunGenES database provides such a template with a number of tools including Animation of KEGG Pathways, Expression Waves, Time Series, Specific Gene Classes, such as ESTs and transcription factors, and searches for the expression pattern of any gene or transcript during ES cell differentiation using standard gene nameExpression Waves, Time Series, Specific Gene Classes, such as ESTs and transcription factors, and searches for the expression pattern of any gene or transcript during ES cell differentiation using standard gene names and Gene Classes, such as ESTs and transcription factors, and searches for the expression pattern of any gene or transcript during ES cell differentiation using standard gene nameexpression pattern of any gene or transcript during ES cell differentiation using standard gene names and gene or transcript during ES cell differentiation using standard gene names and gene names and IDs.

As an illustration, let us look at the expression patterns of a number of genes identified with different FSVs in the zebrafish embryo.

If human cells are sorted together mouse cells, the data will have heterogenous expression patterns as single cell data does, only with human genes rather than mouse genes.

As a comparison group, they retrieved pediatric nasal airway epithelial cultures from a study that looked at genomic DNA methylation patterns and gene expression in 36 children with persistent atopic asthma compared with 36 heathy children.

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.

A recent study showed exposure flu viruses among women during pregnancy provoke a similar gene expression pattern in the fetus as that seen in autistic children.