Humoral response profiling reveals pathways to prostate cancer progression. - Wikidata - awgldk - TriplyDB

Humoral response profiling reveals pathways to prostate cancer progression.

Humoral response profiling reveals pathways to prostate cancer progression.

http://www.wikidata.org/entity/Q46852385

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Serum glutamate levels correlate with Gleason score and glutamate blockade decreases proliferation, migration, and invasion and induces apoptosis in prostate cancer cells Quantitative proteomic profiling of prostate cancer reveals a role for miR-128 in prostate cancer.Post genome-wide association studies functional characterization of prostate cancer risk loci.Glycoprotein analysis using protein microarrays and mass spectrometry.Immunogenicity of autoantigens.Tumor-associated autoantibodies as diagnostic and prognostic biomarkers.Protein array patterning by diffusive gel stamping Mass spectrometry of peptides and proteins from human blood.Prioritizing candidate disease metabolites based on global functional relationships between metabolites in the context of metabolic pathways.Autoantibody signatures: progress and perspectives for early cancer detection Metastatic Melanoma Induced Metabolic Changes in C57BL/6J Mouse Stomach Measured by 1H NMR Spectroscopy.Serum Autoantibodies in Chronic Prostate Inflammation in Prostate Cancer Patients.Enhanced detection of autoantibodies on protein microarrays using a modified protein digestion technique The fundamental flaws of immunoassays and potential solutions using tandem mass spectrometry.New concepts in herpes simplex virus vaccine development: notes from the battlefield.Evaluation and characterization of anti-RalA autoantibody as a potential serum biomarker in human prostate cancer.Serum autoantibodies as biomarkers for early cancer detection.Identification of cancer autoantigens in serum: toward diagnostic/prognostic testing?Application of proteomic technologies for prostate cancer detection, prognosis, and tailored therapy.Immunoseroproteomic Profiling in African American Men with Prostate Cancer: Evidence for an Autoantibody Response to Glycolysis and Plasminogen-Associated Proteins.Protein microarrays as an application for disease biomarkers.Development of selected reaction monitoring-MS methodology to measure peptide biomarkers in prostate cancer.Imaging of branched chain amino acid metabolism in tumors with hyperpolarized 13C ketoisocaproate.Cutting edge: permissive MHC class II allele changes the pattern of antitumor immune response resulting in failure of tumor rejection Autoantibody signatures as biomarkers to distinguish prostate cancer from benign prostatic hyperplasia in patients with increased serum prostate specific antigen.Immunoprofiling using NAPPA protein microarrays.Osteopontin is a tumor autoantigen in prostate cancer patients.Influence of beta-galactose-specific mitochondrial lectins from prostate hyperplasic tissue on mitochondrial properties.

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P2860

Humoral response profiling reveals pathways to prostate cancer progression.

http://www.wikidata.org/entity/Q46852385

description

2007 nî lūn-bûn

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2007年の論文

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2007年学术文章

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2007年学术文章

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2007年学术文章

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2007年学术文章

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2007年学术文章

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2007年学术文章

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2007年學術文章

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2007年學術文章

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name

Humoral response profiling reveals pathways to prostate cancer progression.

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Humoral response profiling reveals pathways to prostate cancer progression.

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type

label

Humoral response profiling reveals pathways to prostate cancer progression.

@en

Humoral response profiling reveals pathways to prostate cancer progression.

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prefLabel

Humoral response profiling reveals pathways to prostate cancer progression.

@en

Humoral response profiling reveals pathways to prostate cancer progression.

@nl

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MCP.M700263-MCP200

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Molecular & Cellular Proteomics

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Humoral response profiling reveals pathways to prostate cancer progression.

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Anjana Menon

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Arul M Chinnaiyan

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Arun Sreekumar

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Barry S Taylor

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Bharathi Laxman

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David M Lubman

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Debashis Ghosh

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Jianjun Yu

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John T Wei

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Manoj Pal

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P2860

The human plasma proteome: a nonredundant list developed by combination of four separate sources

Cluster analysis and display of genome-wide expression patterns

Phosphotyrosine interactome of the ErbB-receptor kinase family

Recurrent fusion of TMPRSS2 and ETS transcription factor genes in prostate cancer.

A statistical model for identifying proteins by tandem mass spectrometry

Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search

Signaling initiated by overexpression of the fibroblast growth factor receptor-1 investigated by mass spectrometry

Cancer statistics, 2005

Delineation of prognostic biomarkers in prostate cancer

Fingerprinting the circulating repertoire of antibodies from cancer patients.

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3

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7

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Alexey I. Nesvizhskii

Shanker Kalyana-Sundaram

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2007-12-11T00:00:00Z

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18077443

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