Sentences with phrase «gene expression profiling analysis»

We have developed a novel «integrated» approach for gene expression profiling analysis that combines both «unbiased» and «biased» profiling (22)[Fig. 5].

Not exact matches

The three - year study included cell culture studies at Rice as well as a detailed analysis of gene - expression profiles of more than 500 patients from the Cancer Genome Atlas and protein - expression profiles from about 200 MD Anderson patients.
Using single cell RNA sequencing analysis, the Cairns lab profiled cells individually, establishing the gene expression profile in human sperm stem cells.
This single cell transcriptome analysis followed by computational analyses enabled the team to identify the gene expression profiles of cells in the process of changing from ES cells to 2CLCs.
Scientists performed an integrative transcriptomic analysis, comparing gene expression networks across all three groups of participants and finding unique molecular profiles and pathway enrichment patterns.
High quality of DNA / RNA products is the foundation of successful cancer research such as analysis of genetic alterations, gene expression profiling and next generation sequencing.
Analysis of gene expression profiles can be carried out by the users, or by the facility.
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.
The Stylophora pistillata gene expression profile was analyzed with Partek Genomics Suite ™ software (Fig. 3A) in a principal component analysis (PCA).
Using gene expression profile (GEP) tests like Oncotype DX to inform treatment decision - making for breast cancer is likely to be less cost - effective in community oncology practice than previous estimates had suggested, according to an economic simulation analysis published in the Journal of Clinical Oncology.
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.
Comparison of mRNA and protein expression revealed distinct expression profiles for many genes and underscores the importance of multi-omic analysis in single cells.
Technologies / expertise in our laboratory include: quantitative RT - PCR, expression profiling, generation of knockout mice, phylogenetic analysis, serial analysis of gene expression (SAGE), Protein biochemistry, Fluorescence labelling, and Transport kinetics.
Many million different users consult these databases each year, seeking information on anything from DNA sequences, protein structures, gene expression profiles, human genetic polymorphism or even comparative analyses of entire genomes.
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.
MicroRNA expression profile and functional analysis reveal that miR - 382 is a critical novel gene of alcohol addiction.
Comparison of gene expression profiles obtained by Q - PCR (left panels) and microarray analysis (right panels).
Since there is a higher than 95 % chance that cluster assignments are accurate (Supplemental File S2), and our validation analysis shows that 90.7 % of the array expression patterns match the RNA analysis results using other techniques (e.g., Q - PCR), we estimate that more than 86 % of the genes in a cluster follow the corresponding average expression profile.
The set of possible analyses include: 1) comparison of cell populations for the identification of differentially expressed genes; 2) dimensionality reduction for the identification of relevant coordinates; and 3) clustering of subpopulations on the base of gene expression profiles.
Their gene expression analysis throughout the protocol matched that of a previously published profile for hESCs [24], which included the significant upregulation of mesodermal and chondrogenic markers (PDGFRB, SOX6, SOX9, ACAN, COL2A1 types A and B), with the more mature COL2A1 type B splice variant [42] being more highly expressed by the end of stage 3.
Designed and supervised the global analysis of the FunGenES gene expression profiling data and wrote the manuscript draft: AKH.
Unbiased clustering analysis of P (+) neurons revealed four different classes, each with distinct cell surface receptor gene expression profiles.
Although many common genes were expressed in the three tissues, cluster analysis based on transcript levels revealed distinct gene expression profiles of the d - 18 EET (Fig. 2C and SI Appendix, Fig.
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