Proteomic methodologies and their application in colorectal cancer research. - Test2 - elhamkhani - TriplyDB

Proteomic methodologies and their application in colorectal cancer research.

Proteomic methodologies and their application in colorectal cancer research.

http://www.wikidata.org/entity/Q37643738

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SELDI-TOF serum proteomics and colorectal cancer: a current overview.Proteomic serum biomarkers and their potential application in cancer screening programs.Serum peptidome patterns of colorectal cancer based on magnetic bead separation and MALDI-TOF mass spectrometry analysis Differential proteomics identifies PDIA3 as a novel chemoprevention target in human colon cancer cells.Cell surface markers in colorectal cancer prognosis.Proteomics, genomics and transcriptomics: their emerging roles in the discovery and validation of colorectal cancer biomarkers.Mining the fecal proteome: from biomarkers to personalised medicine.Janice Drew's work on diet and cancer.

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Proteomic methodologies and their application in colorectal cancer research.

http://www.wikidata.org/entity/Q37643738

description

article científic

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article scientifique

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articolo scientifico

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artigo científico

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bilimsel makale

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scientific article published on January 2009

@en

vedecký článok

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vetenskaplig artikel

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videnskabelig artikel

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vědecký článek

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name

Proteomic methodologies and their application in colorectal cancer research.

@en

Proteomic methodologies and their application in colorectal cancer research.

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type

label

Proteomic methodologies and their application in colorectal cancer research.

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Proteomic methodologies and their application in colorectal cancer research.

@nl

prefLabel

Proteomic methodologies and their application in colorectal cancer research.

@en

Proteomic methodologies and their application in colorectal cancer research.

@nl

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10408360903375277

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Critical Reviews in Clinical Laboratory Sciences

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Proteomic methodologies and their application in colorectal cancer research.

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George Panayotou

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Georgia Ikonomou

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P2860

GlycomeDB - integration of open-access carbohydrate structure databases

Predicting cancer drug response by protoeomic profiling

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

Mass-spectrometric identification and relative quantification of N-linked cell surface glycoproteins

Biosensor-based micro-affinity purification for the proteomic analysis of protein complexes

Absolute quantification of proteins and phosphoproteins from cell lysates by tandem MS

PRIDE: a public repository of protein and peptide identifications for the proteomics community

A genetic model for colorectal tumorigenesis

Cancer statistics, 2008

Probability-based protein identification by searching sequence databases using mass spectrometry data

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319-342

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scholarly article

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10.3109/10408360903375277

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5-6

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46

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Martina Samiotaki

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2009-01-01T00:00:00Z

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19958217

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colorectal cancer