Sentences with phrase «gene expression analysis at»

Real - time (quantitative) PCR (qPCR) can overcome these drawbacks and has widespread and proven use in gene expression analysis at both low and medium throughput.

Not exact matches

«Genome - wide analysis allowed us to identify a gene, VNN - 1, whose expression discriminated between good and poor responders to systemic corticosteroid treatment,» said Gurjit Khurana Hershey, MD, PhD, senior author and director of Asthma Research at Cincinnati Children's.
Expression analyses revealed that these genes are active almost exclusively in testicular germ cells, where, at a minimum, they likely contribute to sperm production.
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.
Single - cell differential gene expression analysis revealed a spectrum of known transcripts, including several linked to cytotoxic and costimulatory function that are expressed at higher levels in the TEMRA (effector memory T cells expressing CD45RA) subset, which is highly enriched for CD4 - CTLs, compared with CD4 + T cells in the central memory (TCM) and effector memory (TEM) subsets.
At the nucleic acid level, understanding the precise regulation of genes through analysis of gene expression data will be of utmost importance.
Evan Paull, a graduate student in Stuart's lab at UC Santa Cruz (now at Columbia University), led the computational analyses, which involved integrating the phosphoproteomic data with genomic and gene expression datasets to provide a unified view of the activated signaling pathways in late stage prostate cancer.
(B, C) Flow cytometric analysis of HIV - 1 gene expression in (B) mock infected or (C) latently infected CD4 + T cells under non-polarizing conditions, either at the basal state or after reactivation with antibodies against CD3 and CD28.
F4 / 80 + and F4 / 80 — cells were collected into cooled FACS buffer, centrifuged at 500 g for 5 minutes, and immediately frozen for gene expression analysis.
Topics for the scientific sessions are: Single cell genomics and gene expression Genetic interactions RNAi and somatic cell genetics Protein - DNA interactions Cancer The meeting also highlights existing opportunities for academic and industrial researchers to access automated cell - based and biochemical technologies based at the Karolinska High Throughput Center; home to one of the most sophisticated, state - of - the - art, ultra-high performance liquid handling and analysis platforms in Europe.
Bethesda, USA (2016 - present) Research areas: Super-resolution microscopy, single - molecule imaging, gene expression, computational modeling and data analysis This section includes all projects during my postdoctoral research stay at the National Institutes of Health in Bethesda, MD (Unites States): (9) Understanding gene expression in eukaryotic cells»
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.
Comparative gene expression analysis revealed a significant overexpression of TRF2, β - catenin and hTERT genes (p < 0.01) in clonospheres at high Bleomycin concentration (80μM)(Fig 2f).
To further investigate additional similarities between hNSCs and hESCs at the transcriptional level, we analyzed the expression of key genes involved in hESC self - renewal and pluripotency utilizing semi-quantitative RT - PCR analysis.
In the past few years, FANTOM researchers have applied Cap Analysis Gene Expression (CAGE), a genomic technology developed at RIKEN, to numerous mammalian cell and tissue types.
Our laboratory initiated several collaborative studies that have been published and some of the initial work was really focused on trying to conduct a comprehensive molecular analysis of what are the early changes at the molecular level, the level of gene expression as the disease is first initiating and undergoing those early changes that are so critical in the course of disease.
We therefore focused our analysis of differential gene expression on those genes that have at least a 25 % probability of being within the highly - expressed distribution: 17,698 genes in the VNO and 17,983 in the OM (see Materials and methods for details).
Epistatic and Cross Tissue Analysis for Human Gene Expression Traits $ 594,000 (2 years) Jonathan K. Pritchard, Ph.D., University of Chicago Statistical Analysis of Gene eQTLs $ 676,000 (2 years) Ivan Rusyn, M.D., Ph.D., Andrew B. Nobel, Ph.D. and Fred A. Wright, Ph.D., University of North Carolina at Chapel Hill Facilitating GTEx, disease and Gene - Environment Analyses via Fast Expression eQTL $ 659,000 (2 years)
The present study shows that such a gradient is also seen at the level of single cell analysis, but reveals that there is considerable cell - to - cell variation within this gradient in the expression of pluripotency genes.
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