Sentences with phrase «gene expression analysis revealed»

Analysis of differentially expressed proteins revealed enrichment in cytoskeleton organization, mitochondrial activity and ROS management, while gene expression analysis revealed enrichment in the epithelial - to - mesenchymal transition pathway.
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).
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.
Global gene expression analyses reveal changes in biological processes after hyperthermia in a rat glioma model.

Not exact matches

The title of the paper is «Bioinformatic analysis reveals a pattern of STAT3 - associated gene expression specific to basal - like breast cancers in human tumors.»
Expression analyses revealed that these genes are active almost exclusively in testicular germ cells, where, at a minimum, they likely contribute to sperm production.
«Gene analysis adds layers to understanding how our livers function: Tracking gene expression patterns for 20,000 gene in 1,500 cells revealed a mosaic of activities.&raGene analysis adds layers to understanding how our livers function: Tracking gene expression patterns for 20,000 gene in 1,500 cells revealed a mosaic of activities.&ragene expression patterns for 20,000 gene in 1,500 cells revealed a mosaic of activities.&ragene in 1,500 cells revealed a mosaic of activities.»
Erlich used a multitude of statistical genetic and integrative genomics analyses to reveal that STRs have a function: they act like springs or knobs that can expand and contract, and fine - tune the nearby gene expression.
Methanosaeta were the dominant methane - producing microorganisms in the digesters and known to convert acetate to methane, but analysis of the gene expression in the digester revealed that Methanosaeta were also highly expressing genes for converting carbon dioxide to methane.
Analysis of the most aggressive of these cells revealed a pattern of gene expression distinct from that known to occur in breast - to - bone metastasis, as described in an earlier paper by Massagué.
To begin to explore the cellular mechanisms that might be responsible for this response, histological analysis revealed less severe disruption of spermatogenesis and gene expression studies suggested that an interplay of ATP - binding cassette (ABC) efflux transporters and solute carrier (SLC) influx transporters in the testicular cells might be involved.
Genome - wide analysis of variance (ANOVA) revealed that germline SNPs / CNVs and somatic CNAs influenced > 39 % of gene expression probes, roughly half acting in cis and half in trans.
Early in vitro analyses of gene expression revealed that the cell lines were germ - cells, our target cell type.
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.
The principal component analysis revealed that aging explains ~ 16 % of protein expression variability and is associated with Gene Ontology terms transmembrane, integral / intrinsic membrane, endoplasmic reticulum and mitochondrion.
Analysis of gene expression array in TSC2 - deficient AML cells reveals IRF7 as a pivotal factor in the Rheb / mTOR pathway.
Deeper analyses, revealed that the RNA expression pattern of a rare variant of the NCAN gene was highly correlated with that of the previously suggested susceptibility genes for developmental dyslexia.
Microarray analysis revealed temperature - dependent expression of distinct sets of genes, as well as 700 A. fumigatus genes not present or significantly diverged in the closely related sexual species Neosartorya fischeri, many of which may have roles in the pathogenicity phenotype.
Comparison of mRNA and protein expression revealed distinct expression profiles for many genes and underscores the importance of multi-omic analysis in single cells.
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.
Analysis of synaptic gene expression in the neocortex of primates reveals evolutionary changes in glutamatergic neurotransmission.
These techniques and functional analysis of the resulting data revealed a number of up - and down - regulated proteins and mRNAs; i.e., up - regulated by a signal (originating internal or external to the cell) that results in increased expression of one or more genes and as a result the protein (s) encoded by those genes, and down - regulated by a process resulting in decreased gene and corresponding protein expression.
MicroRNA expression profile and functional analysis reveal that miR - 382 is a critical novel gene of alcohol addiction.
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.
Transcriptomics analysis of inguinal WAT showed a marked effect of cold on overall gene expression, as revealed by principle component analysis and hierarchical clustering.
Transcriptomics analysis revealed that, in POU5F1 - null cells, gene expression was downregulated not only for extra-embryonic trophectoderm genes, such as CDX2, but also for regulators of the pluripotent epiblast, including NANOG.
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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