Sentences with phrase «gene expression data for»

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«Together, our data strongly suggest that cutaneous gene therapy with inducible expression of GLP1 can be used for the treatment and prevention of diet - induced obesity and pathologies,» the authors wrote.

The challenge is substantial — the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus repository (GEO) alone contains 80,985 public datasets, spanning hundreds of tissue types in thousands of organisms — and the rapid growth in data makes it difficult for journals or data repositories to «police» whether datasets that should be made publicly available actually are.

«We used the Allen Human Brain Atlas data to quantify how consistent the patterns of expression for various genes are across human brains, and to determine the importance of the most consistent and reproducible genes for brain function.»

Scientists from the Biogerontology Research Foundation (BGRF), a UK - based charity founded to support aging research and address the challenges of a rapidly aging population, propose a new concept for signalome - wide analysis of changes in intracellular pathways, called OncoFinder, which allows for accurate and robust cross-platform analysis of gene expression data.

«For several years the potential for the use of gene expression data in research and clinical applications has been underappreciated due to the inconsistency of the data coming from the various types of equipmeFor several years the potential for the use of gene expression data in research and clinical applications has been underappreciated due to the inconsistency of the data coming from the various types of equipmefor the use of gene expression data in research and clinical applications has been underappreciated due to the inconsistency of the data coming from the various types of equipment.

Until now, the data and test results for this ongoing work have all come from preexisting, online digital data sets of gene expression from patients with different kinds of infections — not from current patients.

The data are already being used to improve gene information and expression on VectorBase, a National Institute of Allergy and Infectious Diseases resource center for the scientific community.

From this data, a relative gene expression profile for each sample is made.

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 researchers named the method after a fish famous for swimming upstream because it employs an algorithm that can estimate the effect of biases and the expression level of genes as experimental data streams by.

Using clinical, genetic, and gene expression data as filters to distinguish genes whose copy number alteration causes cancer from those for whom copy number changes are incidental, the team whittled down their list from 14,000 to a more manageable number, each of which they systematically tested using genetic experiments in animals.

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.

The second tool, SuperExactTest, establishes the very first theoretical framework for assessing the statistical significance of multi-set intersections and enables users to compare very large sets of data, such as gene sets produced from genome - wide association studies (GWAS) and differential expression analysis.

«It has taken us years to assemble the clinical outcome database and tissue samples, generate the immunohistochemical biomarkers, gene expression profiles and analyse the data for this study — and we were delighted to find a definite link between alpha beta crystallin and breast cancer progression, which we hope will ultimately improve clinical outcomes.

The researchers» next step is to use the genomic data they collected from the families — including full genome sequences and gene expression data — to begin identifying the specific genes that contribute to risk for bipolar disorder.

For instance, the National Center for Biotechnology Information's public repository of gene - expression data, GEO, now contains 392,000 microarray experimenFor instance, the National Center for Biotechnology Information's public repository of gene - expression data, GEO, now contains 392,000 microarray experimenfor Biotechnology Information's public repository of gene - expression data, GEO, now contains 392,000 microarray experiments.

The expression of mRNA for factors involved in promoting mitochondrial biogenesis, including the transcription factor Ppard, the PPARδ coactivator Pgc - 1α, and citrate synthase was greater in gastrocnemius muscles from IL - 15Rα — KO relative to B6129 control (Figure 5C); however, levels of these genes were unchanged in spleen and kidney (data not shown).

SNPs can modulate gene function and / or expression, and SNP association studies can provide preliminary data for further hypothesis - directed experiments.

In the current study, the researchers used infradian cyclic locomotor activity in the mutant mice as a proxy for mood - associated changes, and examined their molecular basis in the brain by conducting prediction analyses of the gene expression data.

For expression analysis in mice, we used microarray data as described above to select two internal control genes, cyclophilin B (Cphn2) and ribosomal protein S3 (Rps3).

The atlas now also includes RNA transcript data for 27 of these organ - specific tissues using next generation sequencing, providing a tissue distribution map of both protein and gene expression.

Then, methods for reconstructing gene regulatory networks from gene expression data will be looked.

(Mixture - of - Isoforms) for isoform quantitation using RNA - Seq is a probabilistic framework that quantitates the expression level of alternatively spliced genes from RNA - Seq data, and identifies differentially regulated isoforms or exons across samples.

The Human Protein Atlas has reached a major milestone by releasing protein data for more than 80 % of the human protein - coding genes and RNA expression data for more than 90 % of the genes.

«This data allows classification of all human protein - coding genes into those coding for house - hold functions (present in all cells) and those that are tissue - specific genes with highly specialized expression in particular organs and tissues, such as kidney, liver, brain, heart, pancreas.

«We are truly excited about the RNA transcript data and the map of gene expression that we now have for 27 different organ - specific tissues», says Professor Mathias Uhlén, Program Director of the Human Protein Atlas.

The new dependency data complement the Dependency Map team's ongoing efforts to use functional genomic technologies like CRISPR and RNA interference (RNAi) to locate vulnerabilities that arise within cancer cells as they compensate for the loss of critical genes due to mutations or expression changes.

They are also developing sgRNAs that will enable even more fine - tuning of gene expression levels and on software for analyzing the data.

We show, for the first time, the influence of the gene expression levels demonstrating the power of «big data» to change how medical research is performed.

Inspired by the knowledge - based analysis methods developed for gene expression data analysis, we implemented methods for examining functionally - related SNPs as a group.

All microarray data supporting the findings of this study have been deposited in the National Center for Biotechnology Information Gene Expression Omnibus (GEO) and are accessible through the GEO Series accession number GSE86885.

With the reference cell census data in hand, the research team is excited to conduct additional studies, including ones involving models or human patients with gastrointestinal conditions — Crohn's disease, ulcerative colitis, gastrointestinal cancers, forms of food allergy, etc. — aimed at identifying changes in gene expression and epithelial structure and function that could reveal new insights and opportunities for therapeutic development.

We have developed new BN algorithms and tools for analysis of gene interaction networks using high throughput gene expression data.

We focus on developing computational methods and tools for (a) analyzing large - scale gene expression data related to human cancer in search for gene markers and disease sub-categories, (b) identifying regulatory elements such as miRNA precursors and their targets in whole genomes of plants and mammals, (c) building theoretical models of gene regulatory networks.

She has pioneered the intergration of large - scale genome and transcriptome sequencing data to understand how genetic variation affects gene expression, providing insight to cellular mechanisms underlying genetic risk for disease.

The idea behind our work in bioinformatics is to build on existing methodologies regarding large - scale data analysis and to develop novel algorithms for processing and merging complex biological data from multiple sources such as gene expression data, sequence information, protein - to - protein interaction data, clinico - pathological data etc..

A reliability score is set manually for all genes and indicates the level of reliability of the analyzed protein expression pattern based on available protein / RNA / gene characterization data from both HPA and the UniProtKB / Swiss - Prot database.

Dr Gilchrist said: «This study suggests that we may improve significantly on the widely used analysis methods for determining gene expression levels from high throughput sequence data: absolute quantitation offers a much sounder basis for determining changes in gene expression level, a measure widely used to determine the consequence of genetic, chemical or physical disturbances in living systems.»

A web - based tool in which users can upload their individual SNP data and obtain predicted expression levels for the set of predictable genes across the 14 different cell types.

We find evidence of expression for all VR, and almost all OR genes that are annotated as functional in the reference genome, and use the data to generate over 1100 new, multi-exonic, significantly extended receptor gene annotations.

A reliability score is set for all genes and indicates the level of reliability of the analyzed protein expression pattern based on available protein / RNA / gene characterization data.

deCODE will apply its expertise in in vitro pharmacogenomics to provide gene expression data in relation to a Wyeth candidate treatment for respiratory disease

Taken together, data are currently convincing that STAT1 alone is not sufficient for the expression of RIG - G gene.

deCODE will apply its expertise in in vitro pharmacogenomics to provide gene expression data in relation to a Wyeth candidate treatment for respiratory disease Reykjavik, ICELAND, November 20, 2002 — deCODE genetics (Nasdaq / Nasdaq Europe: DCGN) today announced the...

To enable comparison of gene expression in diverse bacterial species in myriad sample types and growth conditions, much of his work is dedicated to developing more robust and high - throughput methods for generating bacterial cDNA libraries and mining bacterial RNA - Seq data for biologically relevant trends.

There's also a lot of work under way for TCGA, not just the 6K capture project, but also adjunct analyses of gene expression, DNA copy number, microRNA, and DNA methylation data being generated on TCGA samples.

(A) The expression estimates obtained in the RNAseq data for these four genes.

«Based on our data, which is comprised of gene expression across 16 brain regions, we found that the most distinct region, i.e. the region where we observe more human - specific differences in gene expression, is the striatum, a region involved in motor coordination, reward, and decision - making,» lead author André M. Sousa of the Yale School of Medicine and the Kavli Institute for Neuroscience told Seeker.

Researchers will use GTEx data to follow up on findings from genome - wide association studies and as a resource for the general study of gene expression networks.

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.