Sentences with phrase «microarray profiling»

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.

Microarray profiling identified STAT6 as one of the proteins whose expression was increased in apoptosis - resistant cells (Gagarin et al., 2005).

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).

A, Hierarchical clustering and correlation coefficients of microarray profiles of triplicate iPSC1, iPSC2, CytES (Cyt25 hESC), Hues6 and NSC.

Not exact matches

The panel can be used as a tool kit for screening and profiling of functional lncRNAs, or as an accurate quantification to validate functional lncRNAs in microarray or RNA - sequencing data.

The technology for genome - wide profiling using microarrays was newly available, and with it came tremendous excitement, parallel to the mapping of the human genome.

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

As a research associate in the pathology labs of Yale School of Medicine, Mrs. Canosa has worked extensively with microarray expression profiling, genotyping, and DNA sequencing.

Periostin (POSTN) was identified by microarray RNA profiling studies as a stromal factor involved in maintaining the normal stem cell niche and demonstrated to be secreted by stromal fibroblasts, but not by infiltrating tumor cells (Malanchi et al., 2012).

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).

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.

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).

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

To pursue this multi-dimensional research with a holistic perspective, we apply next - generation sequencing, microarrays, proteomics, and functional profiling of mutant strains.

Therefore, we used microarray analysis to perform pairwise comparisons of the transcriptional profile of EFTF - expressing pluripotent cells to three regions of the Xenopus embryo: the eye field (EF) including underlying mesendoderm, posterior neural plate (PNP) and the non-neural, flank, lateral endoderm (LE, Figure 1A).

This will be achieved by exposing the coral to seawater with high calcium concentrations to induce an alteration in gene expression profiles, identified using a DNA microarray analysis.

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.»

Calcification rate measurements and gene expression analysis by microarray RNA transcriptional profiling at two time - points (midday and night - time) revealed several genes common within mammalian gene regulatory networks.

Protein subcellular localization profiling of breast cancer cells by dissociable antibody microarray staining.

To assess the expression of Tie2 and other Ang / Tie signalling molecules on human pericytes, a microarray - based expression profiling of human brain pericytes (BP), placenta pericytes, pancreas pericytes (PA), lung pericytes (LP), muscle pericytes (MP) and human umbilical vein endothelial cells (HUVEC) was performed.

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

The Gladstone team had profiled changes in gene expression using DNA microarrays, which provides an unbiased method for identifying key biological pathways.

Proteomic analysis to profile protein abundance resulted in the identification and relative quantification for 912 proteins with two or more unique peptides and 86 proteins with significant abundance changes after treatment with the neurotoxins, while microarray analyses to profile gene expression revealed 181 genes with significant changes in mRNA after treatment.

Another widely used technology to profile gene expression levels is microarrays.

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.

Quantitative real time PCR (qRT - PCR) is accepted as the gold standard for expression profiling, so we next compared both our RNAseq and the microarray expression estimates to a panel of qRT - PCR TaqMan gene expression assays (Figure 2C — F).

The correlation is considerably higher with the RNAseq data (Pearson correlation r2 = 0.81 for the VNO and 0.9 for the OM) than with the microarray values (Pearson correlation r2 = 0.58 for the VNO and 0.52 for the OM), indicating that RNAseq is better suited for transcriptome profiling in the olfactory system.

By enabling compound binding profiles to be rapidly generated, the HuProt microarray has become an indispensible tool at the forefront of drug discovery and development..

In the present study we have reported the transcriptional profile of the two main components of the olfactory system in mice, obtained by RNAseq and expression microarray.

General speaking, microarray requires high - quality intact total RNA as starting material for target preparation in mRNA profiling.

Comparison of gene expression profiles obtained by Q - PCR (left panels) and microarray analysis (right panels).

The microarray - based services also are provided for RNA expression profiling and DNA genotyping.

Hu C et al. (2015) Autoantibody Profiling on Human Proteome Microarray for Biomarker Discovery in Cerebrospinal Fluid and Sera of Neuropsychiatric Lupus.

Profiling the autoantibody repertoire in plasma, serum or CSF by screening on microarrays of randomly selected antigens.

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.

The results show comparable gene expression profiles between microarray and Q - PCR data.

This is accomplished by combining high - throughput generation of affinity - purified antibodies with protein profiling in a multitude of tissues and cells assembled in tissue microarrays.

The CDI HuProt microarray contains nearly 75 % of the human proteome on a single glass slide, a unique and powerful tool for high - throughput serum profiling and biomarker discovery.

In recent years, many labs have dedicated enormous resources to identifying new molecular cancer markers through «unbiased» direct profiling of human cancers using DNA microarray approaches.

Manzano, R. G., Martinez - Navarro, E. M., Forteza, J. & Brugarolas, A. Microarray phosphatome profiling of breast cancer patients unveils a complex phosphatase regulatory role of the MAPK and PI3K pathways in estrogen receptor - negative breast cancers.

Manager, Target Now / Horizon — Molecular Profiling Institute — Phoenix, AZ 2005 to 2007 Oversaw clinical intake for all patients for Target Now program comprised of esoteric Immunohistochemistries and DNA Microarray for patients with advanced cancer.

Methylation profiles covering the promoter regions of 20 000 genes and 400 microRNAs were generated using MeDIP followed by hybridization to microarrays.