Integrated cross-species transcriptional network analysis of metastatic susceptibility.
about
An Integrated Genome-Wide Systems Genetics Screen for Breast Cancer Metastasis Susceptibility GenesContext Specific and Differential Gene Co-expression Networks via Bayesian BiclusteringChromosomal gain promotes formation of a steep RanGTP gradient that drives mitosis in aneuploid cells.Microtubule-dependent regulation of mitotic protein degradation.RNA-Seq based genome-wide analysis reveals loss of inter-chromosomal regulation in breast cancer.A genomic analysis of mouse models of breast cancer reveals molecular features of mouse models and relationships to human breast cancer.Allelic variation and differential expression of the mSIN3A histone deacetylase complex gene Arid4b promote mammary tumor growth and metastasis.Should EMT of Cancer Cells Be Understood as Epithelial-Myeloid Transition?Functional analysis of prognostic gene expression network genes in metastatic breast cancer models.Genetic background may contribute to PAM50 gene expression breast cancer subtype assignmentsDerivation of a fifteen gene prognostic panel for six cancers.Placental transcriptome co-expression analysis reveals conserved regulatory programs across gestation.In silico discovery of mitosis regulation networks associated with early distant metastases in estrogen receptor positive breast cancers.Mitotic Stress and Chromosomal Instability in Cancer: The Case for TPX2.An integrated systems genetics screen reveals the transcriptional structure of inherited predisposition to metastatic diseaseUsing a systems biology approach to understand and study the mechanisms of metastasisTPX2: of spindle assembly, DNA damage response, and cancer.Beyond cytokinesis: the emerging roles of CEP55 in tumorigenesis.The Short Isoform of BRD4 Promotes HIV-1 Latency by Engaging Repressive SWI/SNF Chromatin-Remodeling Complexes.Gene co-expression analysis identifies common modules related to prognosis and drug resistance in cancer cell lines.Targeting oxidative stress in embryonal rhabdomyosarcoma.An integrative functional genomics framework for effective identification of novel regulatory variants in genome-phenome studies.Mitochondrial Haplotype Alters Mammary Cancer Tumorigenicity and Metastasis in an Oncogenic Driver-Dependent Manner.Resources for Systems Genetics.Genetic variation in the major mitotic checkpoint genes and risk of breast cancer: a multigenic study on cancer susceptibility.
P2860
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P2860
Integrated cross-species transcriptional network analysis of metastatic susceptibility.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
2012年论文
@zh
2012年论文
@zh-cn
name
Integrated cross-species transcriptional network analysis of metastatic susceptibility.
@ast
Integrated cross-species transcriptional network analysis of metastatic susceptibility.
@en
type
label
Integrated cross-species transcriptional network analysis of metastatic susceptibility.
@ast
Integrated cross-species transcriptional network analysis of metastatic susceptibility.
@en
prefLabel
Integrated cross-species transcriptional network analysis of metastatic susceptibility.
@ast
Integrated cross-species transcriptional network analysis of metastatic susceptibility.
@en
P2093
P2860
P356
P1476
Integrated cross-species transcriptional network analysis of metastatic susceptibility.
@en
P2093
Jinghui Zhang
Kenneth H Buetow
Kent W Hunter
Luanne Lukes
Michael Rusch
P2860
P304
P356
10.1073/PNAS.1117872109
P407
P577
2012-01-30T00:00:00Z