Identification of pathways associated with invasive behavior by ovarian cancer cells using multidimensional protein identification technology (MudPIT).
about
Cell-cell and cell-matrix dynamics in intraperitoneal cancer metastasisIntegrative computational biology for cancer researchAvailability of MudPIT data for classification of biological samplesA human functional protein interaction network and its application to cancer data analysisChanges in gene expression and cellular architecture in an ovarian cancer progression model.In-depth proteomic analyses of direct expressed prostatic secretions.Quantitative proteomic profiling studies of pancreatic cancer stem cellsProteomics and ovarian cancer: integrating proteomics information into clinical careMicrodialysis combined with proteomics for protein identification in breast tumor microenvironment in vivo.Integrated omic analysis of oropharyngeal carcinomas reveals human papillomavirus (HPV)-dependent regulation of the activator protein 1 (AP-1) pathway.Widespread RNA and DNA sequence differences in the human transcriptome.Translational analysis of mouse and human placental protein and mRNA reveals distinct molecular pathologies in human preeclampsia.Potentially novel candidate biomarkers for head and neck squamous cell carcinoma identified using an integrated cell line-based discovery strategy.Identification of differentially expressed proteins in direct expressed prostatic secretions of men with organ-confined versus extracapsular prostate cancer.In-depth proteomics to define the cell surface and secretome of ovarian cancer cells and processes of protein sheddingIdentification of prostate-enriched proteins by in-depth proteomic analyses of expressed prostatic secretions in urine.Peptide separations by on-line MudPIT compared to isoelectric focusing in an off-gel format: application to a membrane-enriched fraction from C2C12 mouse skeletal muscle cells.Identification of candidate biomarkers with cancer-specific glycosylation in the tissue and serum of endometrioid ovarian cancer patients by glycoproteomic analysis.Annexin A2 is regulated by ovarian cancer-peritoneal cell interactions and promotes metastasis.Advances in ovarian cancer proteomics: the quest for biomarkers and improved therapeutic interventions.Comparative systems biology of human and mouse as a tool to guide the modeling of human placental pathology.Comprehensive analysis of lncRNA expression profiles reveals a novel lncRNA signature to discriminate nonequivalent outcomes in patients with ovarian cancer.Transcriptome analysis reveals an unexpected role of a collagen tyrosine kinase receptor gene, Ddr2, as a regulator of ovarian function.Challenges in cancer research and multifaceted approaches for cancer biomarker quest.Multidimensional protein identification technology for clinical proteomic analysis.Proteomic profiling of the tumor microenvironment: recent insights and the search for biomarkers.Loss of the Timp gene family is sufficient for the acquisition of the CAF-like cell state.Feature genes in metastatic breast cancer identified by MetaDE and SVM classifier methods.
P2860
Q26851836-56446376-4DB6-4465-8B3C-DFEFF8C996E0Q28744621-45AE8E50-C8CB-45FF-A016-A5FA7D2D69EAQ30585972-40C8307B-57B9-4312-B2E6-FDA3CB2E5392Q33581341-98218A07-9099-4D1E-8A66-63F1B60F9930Q33842047-00D6D3CB-ED5A-4FB7-AB32-209B725EEE8BQ33849273-2966084E-0C5B-4780-9794-686C1E5B5044Q34004256-B1A38833-BA87-42DA-ACD0-2925AFDEAAF6Q34126627-B397BACF-6DB1-48CC-A317-2FBE4A6F6E5CQ34619008-05BBE78D-4D1D-4314-A43E-9A7519723A56Q34635004-8C0ADC01-26C7-4321-8E72-214FD0EDCB89Q35479706-06389E40-09FC-4CB3-8D1B-CFC1A7EFE918Q35610680-AAE05702-2039-4327-AF3D-5D7AE7ADB875Q36386860-9D56F088-A9EE-4A99-8BDF-AA3B6AAEE083Q36455680-E473169B-DF50-41CD-98AF-744FF8295D4EQ36485342-2491356D-9BCB-4E48-A017-C9536B4D41EEQ36811800-D44D297E-0E4C-4098-8572-469FED35F5C6Q37017820-D50AB885-7D56-448F-AF57-4B55289BFB4FQ37064800-9903CB12-909D-4605-BB1B-B2CB0558D569Q37207658-6505DD20-AD73-45C8-9A8C-228BB8A58FFBQ37257654-FF3218E4-380B-4A5A-8D6C-AA55FE126CC7Q37262273-F8A64AD4-28E5-428C-A012-56C60D6E6FDAQ37362685-7DAF7231-5CA8-4098-86AB-C1D4AF97C28FQ37394765-BCF09CD6-F4E1-426C-ADAB-6890DDE1006EQ37425361-2A31C8E9-0644-4EC1-8433-3F98A9B515C9Q37519665-D2091D64-1FAE-42CB-98FD-3FB7B08F9D6CQ37689678-2CA0556E-A3E5-48AC-8924-E6C0BAF06C12Q38963422-13D66FCE-70C7-4D0E-8675-50A269D3AD72Q50068159-FA86A83B-A661-4F2D-B437-CAC861F09FF3
P2860
Identification of pathways associated with invasive behavior by ovarian cancer cells using multidimensional protein identification technology (MudPIT).
description
2008 nî lūn-bûn
@nan
2008年の論文
@ja
2008年学术文章
@wuu
2008年学术文章
@zh-cn
2008年学术文章
@zh-hans
2008年学术文章
@zh-my
2008年学术文章
@zh-sg
2008年學術文章
@yue
2008年學術文章
@zh
2008年學術文章
@zh-hant
name
Identification of pathways ass ...... ification technology (MudPIT).
@en
Identification of pathways ass ...... tein identification technology
@nl
type
label
Identification of pathways ass ...... ification technology (MudPIT).
@en
Identification of pathways ass ...... tein identification technology
@nl
prefLabel
Identification of pathways ass ...... ification technology (MudPIT).
@en
Identification of pathways ass ...... tein identification technology
@nl
P2093
P2860
P50
P356
P1433
P1476
Identification of pathways ass ...... ification technology (MudPIT).
@en
P2093
Andreas I Evangelou
Igor Jurisica
Katharine L Sodek
Mahima Agochiya
Maurice J Ringuette
P2860
P304
P356
10.1039/B717542F
P577
2008-04-17T00:00:00Z