Sentences with phrase «microarray gene»

The aim of his research was to use microarray gene expression data in order to characterize ageing in different human tissues and identify the age at which major changes in genetic expression profiles occur.

Here we suggest a novel yet conceptually simple approach for deriving «Functional Association (s) by Response Overlap» (FARO) between microarray gene expression studies.

Miller, C.J., Kassem H.S., Pepper S.D., Hey Y., Ward T.H., Margison G.P. «Mycoplasma infection significantly alters microarray gene expression profiles.»

Microarray gene expression.

In contrast, when the OncoFinder algorithm is applied to the data, a clear correlation between next generation sequencing and microarray gene expression datasets was seen.

Not exact matches

In the microarray experiment, the range in relative abundances of the 500 most highly expressed genes is very narrow (Figure 1 inset), especially in contrast to RNA - Seq technology (Figure 1).

Other labs have used DNA microarray analysis to characterize gene expression changes in this model.

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.

The scientists then scanned the samples using microarray technology, which cuts genetic material into segments to provide a snapshot of which genes are active and which are asleep inside the cells.

This study, published in the journal Microarrays, shows that lack of SOST in the bone microenvironment promotes the expression of many genes associated with cell migration and / or invasion, including long non-coding RNA MALAT1 in prostate cancer, suggesting that SOST has an inhibitory effect on prostate cancer invasion.

Hughes's winning research proposed using microarray techniques to compare the genomes of a variety of vertebrate animals to test for common regulatory elements that determine gene expression.

Gene microarrays, which measure expression of dozens of genes at once, can be fickle and supply inconsistent results.

They work on microarray - based gene sensors for analyzing nucleic acids quickly and cheaply.

One of these, his most influential, outlines his original use of microarray expression profiles as a phenotypic footprint for gene function.

DNA microarrays consist of thousands of spots contained on a single 1 x 3 inch glass slide, each spot representing a different gene.

Large - scale methods of probing samples, such as DNA sequencing, microarrays, and automated gene - function studies, are filling new databases to the brim.

We currently produce DNA microarrays representing the yeast, mouse, and human genomes (the yeast microarray has over 6000 yeast genes, the mouse microarray has over 15,000 mouse genes, and the two human microarrays have 1700 genes and over 19,000 genes).

Traditionally, gene function was determined one gene at a time, but today's microarray technology enables scientists to monitor the expression of tens of thousands of genes on a single glass slide.

By measuring gene expression in the transgenic mice using DNA microarrays, researchers discovered 50 biomarkers of gene expression that each indicated declining kidney function.

To help identify genes and signaling pathways that may be influenced by zinc, Knoell and his team performed a genome - wide microarray analysis of lung tissue taken from zinc - deficient mice with sepsis.

The study results challenge the current paradigm of microarray data analysis and suggest that the new method may improve identification of cancer - associated genes.

Typical microarray - based gene expression analyses compare gene expression in adjacent normal and cancerous tissues.

To understand why only some motor neurons are vulnerable to ALS, the researchers used DNA microarray profiling to compare the activity of tens of thousands of genes in neurons that resist ALS (oculomotor neurons / eye movement and Onuf's nuclei / continence) with neurons affected by ALS (lumbar 5 spinal neurons / leg movement).

Then they studied the mice's lungs microscopically and, using microarrays, measured the expression of many dozens of genes in their lung tissue at 1, 3, and 5 days after infection.

Xu applied the DNA microarray technique to screen more than 100,000 genes in the human genome to find the exact gene regulation pathway.

Microarrays allow researchers to acquire data about expression levels of thousands of genes at one fell swoop.

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

Some research teams over the past five years have used microarray or gene - chip technology to compare genomes and quickly scan them for variations of copy numbers on each chromosome.

DNA microarrays, also called DNA chips, have stoked excitement in the research community because they can test the activity of many genes at once.

Melton and colleagues are now doing large scale screening with microarrays to track gene activity as cells develop and discover gene products that move cells along the proper paths.

To see what genes might be involved in this increased aggression, the team used microarrays to look for differences in gene expression in fly brains.

Using microarrays that enabled them to examine 100,000 sites on the genome, they looked at the cells» nuclear DNA, mitochondrial DNA, and methylation patterns (which give clues to whether a gene has been turned on or off).

The accumulation of adipose tissue macrophages in direct proportion to adipocyte size and body mass may explain the coordinated increase in expression of genes encoding macrophage markers observed in our microarray expression data.

The expression rates of three macrophage - specific genes (Emr1, Cd68, and Csf1) that correlated with body mass in our microarray studies, an adipocyte - specific gene (Acrp30), and proinflammatory genes (Tnfa, Nos2, Il6) were determined by quantitative RT - PCR.

To identify transcriptional patterns that correlate with body mass, we used oligonucleotide microarrays to catalogue gene expression levels in the parametrial or epididymal adipose tissue from two dozen mice whose body mass and adiposity varied due to diet, sex, and mutations in genes affecting energy homeostasis.

Using quantitative RT - PCR we confirmed the expression profile of five genes (colony - stimulating factor 1 receptor [Csf1r], Cd68, Pex11a, Emr1, and Mcp1) in each of the 24 samples and found excellent agreement between the microarray and RT - PCR expression data (mean Pearson correlation coefficient = 0.91, microarray versus RT - PCR expression; Supplemental Table 3, http://www.jci.org/cgi/content/full/112/12/1796/DC1).

These are among the genes whose expression in our microarray expression data set correlated positively with body mass and adipocyte size.

Gene expression patterns in the hippocampus samples were examined using DNA microarrays that measured the expression levels of over 30,000 genes (transcripts) per sample.

Here, we identified genes controlling greening directly downstream of the GATAs by integrating data from RNA - sequencing and microarray data sets.

First author Dr Reza Haqshenas said the researchers then used gene silencing technology to determine whether the genes» cell factors identified using the antibody microarray were indeed important for HCV replication and therefore potential targets for anti-HCV compounds.

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).

Of the total of 1,178 genes examined by microarray, 119 were significantly upregulated following hypoxia.

The advent of microarray technology, with its capacity to monitor the expression of thousands of genes simultaneously, has provided a novel opportunity to identify individual genes, groups of genes, and related «gene families» associated with a given biologic process.

To detect novel changes in gene expression, we used a focused microarray platform to evaluate the expression profile of retinas from hypoxic animals compared to that in retinas isolated from control animals exposed to room air.

GOMiner — To provide additional statistical stringency to the identification of potential targets, we then analyzed the data sets generated by the SAM - RS analysis of the microarray data for hypoxia - associated coregulation of multiple, functionally related genes.

We offer a wide range of services, including capillary sequencing and genotyping, Illumina microarray - based gene expression profiling and genotyping, and next - generation sequencing (NGS).

A focused oligonucleotide microarray of 1,178 genes, qRT — PCR of selected transcripts, and western analysis of hypoxia inducible factor - 1α (HIF - 1α) were used to compare retinas from the hypoxic and recovery groups to control animals that were not made hypoxic.

Oligonucleotide probe selection and synthesis — The 1,178 genes comprising the Falk Center for Molecular Therapeutics (FCMT) Rat CNS microarray were compiled from currently available NCBI / EMBL / TIGR rat sequence databases and commercially available central nervous system (CNS) microarrays (Affymetrix, Santa Clara, CA) and provided representation from greater than 90 % of the major gene ontological categories [47].

This is an advantage of RNA - seq and microarray - based expression profiling, which can't always distinguish between multiple promoters of the same gene.

Using the GOMiner algorithm, two independent category structures (biologic process and molecular function) based on the 1178 rat genes represented on the microarray (of which 923 currently carry GO annotations) were initially constructed and used as Query gene files.