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.