The transcriptional network for mesenchymal transformation of brain tumours. - Wikidata - thesis-toulmin - TriplyDB

The transcriptional network for mesenchymal transformation of brain tumours.

The transcriptional network for mesenchymal transformation of brain tumours.

http://www.wikidata.org/entity/Q33572162

about

Cancer as a metabolic disease A widespread peroxiredoxin-like domain present in tumor suppression- and progression-implicated proteins Phosphorylation of EZH2 activates STAT3 signaling via STAT3 methylation and promotes tumorigenicity of glioblastoma stem-like cells A human B-cell interactome identifies MYB and FOXM1 as master regulators of proliferation in germinal centers An extensive microRNA-mediated network of RNA-RNA interactions regulates established oncogenic pathways in glioblastoma C/EBPβ mediates growth hormone-regulated expression of multiple target genes Aberrant expression of interleukin-1β and inflammasome activation in human malignant gliomas Forward Individualized Medicine from Personal Genomes to Interactomes The TWEAK receptor Fn14 is a potential cell surface portal for targeted delivery of glioblastoma therapeutics Glioblastoma Circulating Cells: Reality, Trap or Illusion?Biomarkers for glioma immunotherapy: the next generation NF-κB and STAT3 in glioblastoma: therapeutic targets coming of age On the origin of cancer metastasis Developmental origins of brain tumors Bioinformatics and systems biology Cancer prevention with promising natural products: mechanisms of action and molecular targets Microglia recapitulate a hematopoietic master regulator network in the aging human frontal cortex Contemporary murine models in preclinical astrocytoma drug development Stroma-associated master regulators of molecular subtypes predict patient prognosis in ovarian cancer.Interrogation of a context-specific transcription factor network identifies novel regulators of pluripotency The transcription factor ultraspiracle influences honey bee social behavior and behavior-related gene expression Cancer genome sequencing: understanding malignancy as a disease of the genome, its conformation, and its evolution.Bridging the gap between clinicians and systems biologists: from network biology to translational biomedical research Anticancer efficacy of a supramolecular complex of a 2-diethylaminoethyl-dextran-MMA graft copolymer and paclitaxel used as an artificial enzyme Reverse enGENEering of Regulatory Networks from Big Data: A Roadmap for Biologists Clinical Neuropathology mini-review 6-2015: PD-L1: emerging biomarker in glioblastoma?Serine/Threonine Kinase MLK4 Determines Mesenchymal Identity in Glioma Stem Cells in an NF-κB-dependent Manner.Identification of a core miRNA-pathway regulatory network in glioma by therapeutically targeting miR-181d, miR-21, miR-23b, β-Catenin, CBP, and STAT3 Reprogramming of lysosomal gene expression by interleukin-4 and Stat6 Training signaling pathway maps to biochemical data with constrained fuzzy logic: quantitative analysis of liver cell responses to inflammatory stimuli Network based consensus gene signatures for biomarker discovery in breast cancer APE1/Ref-1 regulates STAT3 transcriptional activity and APE1/Ref-1-STAT3 dual-targeting effectively inhibits pancreatic cancer cell survival Selective genomic targeting by FRA-2/FOSL2 transcription factor: regulation of the Rgs4 gene is mediated by a variant activator protein 1 (AP-1) promoter sequence/CREB-binding protein (CBP) mechanism Loss of the tyrosine phosphatase PTPRD leads to aberrant STAT3 activation and promotes gliomagenesis A validated regulatory network for Th17 cell specification Reverse engineering a mouse embryonic stem cell-specific transcriptional network reveals a new modulator of neuronal differentiation ZFHX4 interacts with the NuRD core member CHD4 and regulates the glioblastoma tumor-initiating cell state Leveraging models of cell regulation and GWAS data in integrative network-based association studies Pathway and network analysis of cancer genomes Selective inhibition of tumor oncogenes by disruption of super-enhancers

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The transcriptional network for mesenchymal transformation of brain tumours.

http://www.wikidata.org/entity/Q33572162

description

2009 nî lūn-bûn

@nan

2009 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած

@hyw

2009 թվականի դեկտեմբերին հրատարակված գիտական հոդված

@hy

2009年の論文

@ja

2009年論文

@yue

2009年論文

@zh-hant

2009年論文

@zh-hk

2009年論文

@zh-mo

2009年論文

@zh-tw

2009年论文

@wuu

name

The transcriptional network for mesenchymal transformation of brain tumours.

@ast

The transcriptional network for mesenchymal transformation of brain tumours.

@en

The transcriptional network for mesenchymal transformation of brain tumours.

@nl

type

label

The transcriptional network for mesenchymal transformation of brain tumours.

@ast

The transcriptional network for mesenchymal transformation of brain tumours.

@en

The transcriptional network for mesenchymal transformation of brain tumours.

@nl

prefLabel

The transcriptional network for mesenchymal transformation of brain tumours.

@ast

The transcriptional network for mesenchymal transformation of brain tumours.

@en

The transcriptional network for mesenchymal transformation of brain tumours.

@nl

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The transcriptional network for mesenchymal transformation of brain tumours

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Andrea Califano

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Erik P Sulman

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Evan Y Snyder

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Fiona Doetsch

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Howard Colman

http://www.w3.org/2001/XMLSchema#string

Ken Aldape

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Mariano Javier Alvarez

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Robert J Bollo

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Sandrine L Anne

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Wei Keat Lim

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P2860

ARACNE: An Algorithm for the Reconstruction of Gene Regulatory Networks in a Mammalian Cellular Context

RP58 associates with condensed chromatin and mediates a sequence-specific transcriptional repression

Synergistic signaling in fetal brain by STAT3-Smad1 complex bridged by p300

Gene ontology: tool for the unification of biology

CCAAT/enhancer-binding proteins: structure, function and regulation

Dnmt3a binds deacetylases and is recruited by a sequence-specific repressor to silence transcription

Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

Variations in DNA elucidate molecular networks that cause disease

Comprehensive genomic characterization defines human glioblastoma genes and core pathways

A calculus of purpose

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318-325

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10.1038/NATURE08712

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7279

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463

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Maria Stella Carro

Antonio Iavarone

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2009-12-23T00:00:00Z

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40768448

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20032975

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