Sentences with phrase «specific gene profiling»

Not exact matches

«Researchers have done metabolic studies in patients with adrenal cancer, but they have looked at larger molecules, and they have targeted their investigations at specific steroids or gene profiles.

By combining salivary gene expression profiles, postconceptional age and sex, this predictive model not only assessed the probability of feeding success, but also, and most importantly, highlighted specific developmental pathways that were likely contributing to feeding immaturity.

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.

Resident macrophages from the same lineage, such as liver Kupffer cells, brain microglia, epidermal Langerhans cells, lung alveolar macrophages..., display tissue - specific phenotypes, perform tissue - specific functions and have distinct gene expression profiles.

Comparative transcriptional profiling of the axolotl limb identifies a tripartite regeneration - specific gene program.

Unfortunately, direct comparisons of gene expression profiles obtained in independent, publicly available microarray experiments are typically compromised by substantial, experiment - specific biases.

Title: An adult tissue - specific stem cell in its niche: A gene profiling analysis of in vivo quiescent and activated muscle satellite cells Authors: Pallafacchina G, François S, Regnault B, Czarny B, Dive V, Cumano A, Montarras D, Buckingham ME Date: 2009 Publication Details: Stem Cell Research.

«For example, we want to establish benchmarks for which types of genes and which profiles in specific microbial communities may be of concern and assign relative ranking criteria to inform future testing and monitoring.»

Large - scale cellular - resolution gene profiling in human neocortex reveals species - specific molecular signatures.

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 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 database clusters.

Microarray profiling using the Affymetrix Mouse Genome 430 2.0 array, defines sets of genes that are specific to bone marrow - derived hematopoietic stem cells and their different immunological progeny.

Saturday, Oct. 21, 11:20 - 11:40 a.m., South Hall B, South Building Featured Plenary Abstract: Massively parallel reporter assays combined with cell - type specific expression quantitative trait loci profiling identified a functional melanoma risk variant in HIV - 1 inhibitor gene, MX2 J. Choi, National Cancer Institute, et al

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 resources.