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.