Gene networks and microRNAs implicated in aggressive prostate cancer. - Wikidata - wikimedia - TriplyDB

Gene networks and microRNAs implicated in aggressive prostate cancer.

Gene networks and microRNAs implicated in aggressive prostate cancer.

http://www.wikidata.org/entity/Q42128568

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miR-145-mediated suppression of cell growth, invasion and metastasis A Quest to Identify Prostate Cancer Circulating Biomarkers with a Bench-to-Bedside Potential Identification of co-expression gene networks, regulatory genes and pathways for obesity based on adipose tissue RNA Sequencing in a porcine model Integrative computational biology for cancer research miRNAs associated with prostate cancer risk and progression Associating transcriptional modules with colon cancer survival through weighted gene co-expression network analysis.Prediction of a gene regulatory network linked to prostate cancer from gene expression, microRNA and clinical data.Heterogeneity of miRNA expression in localized prostate cancer with clinicopathological correlations MicroRNA-145 is regulated by DNA methylation and p53 gene mutation in prostate cancer.Selecting biologically informative genes in co-expression networks with a centrality score.Strategies for aggregating gene expression data: the collapseRows R function.Integrative network biology: graph prototyping for co-expression cancer networks.Identification of novel targets for breast cancer by exploring gene switches on a genome scale.Comprehensive analysis of gene-environmental interactions with temporal gene expression profiles in Pseudomonas aeruginosa.Expression of microRNAs associated with Gleason grading system in prostate cancer: miR-182-5p is a useful marker for high grade prostate cancer.Plasma processing conditions substantially influence circulating microRNA biomarker levels Prediction of microRNAs associated with human diseases based on weighted k most similar neighbors.PRKC-ζ Expression Promotes the Aggressive Phenotype of Human Prostate Cancer Cells and Is a Novel Target for Therapeutic Intervention.μHEM for identification of differentially expressed miRNAs using hypercuboid equivalence partition matrix.miR-331-3p regulates expression of neuropilin-2 in glioblastoma.mRNA expression signature of Gleason grade predicts lethal prostate cancer Differentially regulated splice variants and systems biology analysis of Kaposi's sarcoma-associated herpesvirus-infected lymphatic endothelial cells.A study of molecular signals deregulating mismatch repair genes in prostate cancer compared to benign prostatic hyperplasia.Integrated network analysis and logistic regression modeling identify stage-specific genes in Oral Squamous Cell Carcinoma The RNA-binding protein HuR opposes the repression of ERBB-2 gene expression by microRNA miR-331-3p in prostate cancer cells Changes in circulating microRNA levels associated with prostate cancer.Young intragenic miRNAs are less coexpressed with host genes than old ones: implications of miRNA-host gene coevolution.Network-based approach to identify prognostic biomarkers for estrogen receptor-positive breast cancer treatment with tamoxifen VDR regulation of microRNA differs across prostate cell models suggesting extremely flexible control of transcription Identification and Functional Validation of Reciprocal microRNA-mRNA Pairings in African American Prostate Cancer Disparities.Small RNA and its application in andrology and urology Regulation of expression of deoxyhypusine hydroxylase (DOHH), the enzyme that catalyzes the activation of eIF5A, by miR-331-3p and miR-642-5p in prostate cancer cells MicroRNAs act complementarily to regulate disease-related mRNA modules in human diseases.Diet, microRNAs and prostate cancer.Serum microRNA expression patterns that predict early treatment failure in prostate cancer patients.The function of microRNAs, small but potent molecules, in human prostate cancer.Gene-expression profiling in pancreatic cancer.MicroRNAs as putative mediators of treatment response in prostate cancer.miRNAs as biomarkers in prostate cancer.Current challenges in development of differentially expressed and prognostic prostate cancer biomarkers.

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P2860

Gene networks and microRNAs implicated in aggressive prostate cancer.

http://www.wikidata.org/entity/Q42128568

description

2009 nî lūn-bûn

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2009年の論文

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2009年論文

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2009年論文

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2009年論文

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2009年論文

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2009年論文

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2009年论文

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2009年论文

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2009年论文

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name

Gene networks and microRNAs implicated in aggressive prostate cancer.

@en

Gene networks and microRNAs implicated in aggressive prostate cancer.

@nl

type

label

Gene networks and microRNAs implicated in aggressive prostate cancer.

@en

Gene networks and microRNAs implicated in aggressive prostate cancer.

@nl

prefLabel

Gene networks and microRNAs implicated in aggressive prostate cancer.

@en

Gene networks and microRNAs implicated in aggressive prostate cancer.

@nl

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0008-5472.CAN-09-2183

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Cancer Research

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Gene networks and microRNAs implicated in aggressive prostate cancer.

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Ann L Oberg

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Clifford J Steer

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Hui Tang

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Liang Wang

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Stephen N Thibodeau

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Venugopal Thayanithy

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P2860

Genome-wide transcriptional profiling reveals microRNA-correlated genes and biological processes in human lymphoblastoid cell lines

Geometric interpretation of gene coexpression network analysis

The inhibition of the highly expressed miR-221 and miR-222 impairs the growth of prostate carcinoma xenografts in mice

DTL/CDT2 is essential for both CDT1 regulation and the early G2/M checkpoint

Role of L2DTL, cell cycle-regulated nuclear and centrosome protein, in aggressive hepatocellular carcinoma

CDK1 promotes cell proliferation and survival via phosphorylation and inhibition of FOXO1 transcription factor

MicroRNA targeting specificity in mammals: determinants beyond seed pairing

Variations in DNA elucidate molecular networks that cause disease

Determination of tag density required for digital transcriptome analysis: application to an androgen-sensitive prostate cancer model

p53 represses c-Myc through induction of the tumor suppressor miR-145

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Subbaya Subramanian

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