Discovery of biomarker candidates within disease by protein profiling: principles and concepts.
about
Developments in FTICR-MS and Its Potential for Body Fluid SignaturesHuman cervicovaginal fluid biomarkers to predict term and preterm laborSolid-phase extraction strategies to surmount body fluid sample complexity in high-throughput mass spectrometry-based proteomicsMALDI imaging mass spectrometry: state of the art technology in clinical proteomics.Tissue imaging using MALDI-MS: a new frontier of histopathology proteomics.Proteomic analysis of multiple myeloma: current status and future perspectives.Moving towards high density clinical signature studies with a human proteome catalogue developing multiplexing mass spectrometry assay panels.Nanostructure-initiator mass spectrometry metabolite analysis and imagingChromosome 19 annotations with disease speciation: a first report from the Global Research Consortium.Understanding drug uptake and binding within targeted disease micro-environments in patients: a new tool for translational medicine.Identification of altered plasma proteins by proteomic study in valvular heart diseases and the potential clinical significanceThe discovery and identification of a candidate proteomic biomarker of active tuberculosisComparative proteomic analysis of serum diagnosis patterns of sputum smear-positive pulmonary tuberculosis based on magnetic bead separation and mass spectrometry analysis.Applications of proteomics in the study of inflammatory bowel diseases: Current status and future directions with available technologies.Nanostructure initiator mass spectrometry: tissue imaging and direct biofluid analysis.Cardiovascular biomarkers: increasing impact of laboratory medicine in cardiology practice.Multidimensional protein identification technology for clinical proteomic analysis.Respiratory Proteomics Today: Are Technological Advances for the Identification of Biomarker Signatures Catching up with Their Promise? A Critical Review of the Literature in the Decade 2004-2013.Nutriproteomics: technologies and applications for identification and quantification of biomarkers and ingredients.Quantitative proteomic strategies for the identification of microRNA targets.Association of chromosome 19 to lung cancer genotypes and phenotypes.CONSeQuence: prediction of reference peptides for absolute quantitative proteomics using consensus machine learning approaches.Proteomic approaches for studying human parenchymal lung diseases.Macrophage-derived biomarkers of idiopathic pulmonary fibrosis.Computational prediction of proteotypic peptides for quantitative proteomics.
P2860
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P2860
Discovery of biomarker candidates within disease by protein profiling: principles and concepts.
description
2005 nî lūn-bûn
@nan
2005 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2005 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2005年の論文
@ja
2005年論文
@yue
2005年論文
@zh-hant
2005年論文
@zh-hk
2005年論文
@zh-mo
2005年論文
@zh-tw
2005年论文
@wuu
name
Discovery of biomarker candida ...... ling: principles and concepts.
@ast
Discovery of biomarker candida ...... ling: principles and concepts.
@en
type
label
Discovery of biomarker candida ...... ling: principles and concepts.
@ast
Discovery of biomarker candida ...... ling: principles and concepts.
@en
prefLabel
Discovery of biomarker candida ...... ling: principles and concepts.
@ast
Discovery of biomarker candida ...... ling: principles and concepts.
@en
P2093
P356
P1476
Discovery of biomarker candida ...... ling: principles and concepts.
@en
P2093
Claes-Göran Löfdahl
Eva Lindquist
Henrik Lindberg
Leif Johansson
Lennart Hansson
Magnus Dahlbäck
Martyn Foster
Per Jönsson
Thomas E Fehniger
P304
P356
10.1021/PR050122W
P577
2005-07-01T00:00:00Z