Clinical proteomics: A need to define the field and to begin to set adequate standards.
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Guidelines for the standardization of preanalytic variables for blood-based biomarker studies in Alzheimer's disease researchDual-color proteomic profiling of complex samples with a microarray of 810 cancer-related antibodiesPerspectives on systems biology applications in diabetic kidney diseaseIdentifying novel biomarkers through data mining-a realistic scenario?Proteomics and metabolomics in renal transplantation-quo vadis?Current application of proteomics in biomarker discovery for inflammatory bowel diseasePeptide fingerprinting of Alzheimer's disease in cerebrospinal fluid: identification and prospective evaluation of new synaptic biomarkersA distinct urinary biomarker pattern characteristic of female Fabry patients that mirrors response to enzyme replacement therapyThe application of mass-spectrometry-based protein biomarker discovery to theragnosticsNaturally occurring human urinary peptides for use in diagnosis of chronic kidney disease.CE-MS analysis of the human urinary proteome for biomarker discovery and disease diagnostics.Discovery and validation of urinary biomarkers for prostate cancerCapillary electrophoresis-mass spectrometry as a powerful tool in biomarker discovery and clinical diagnosis: an update of recent developmentsClassification-based comparison of pre-processing methods for interpretation of mass spectrometry generated clinical datasets.Classical MALDI-MS versus CE-based ESI-MS proteomic profiling in urine for clinical applications.Analytical validation of serum proteomic profiling for diagnosis of prostate cancer: sources of sample bias.SELDI-TOF MS whole serum proteomic profiling with IMAC surface does not reliably detect prostate cancerProteomic analysis of gliomas.Two-dimensional electrophoretic comparison of metastatic and non-metastatic human breast tumors using in vitro cultured epithelial cells derived from the cancer tissues.Surface-enhanced laser desorption/ionization time-of-flight proteomic profiling of breast carcinomas identifies clinicopathologically relevant groups of patients similar to previously defined clusters from cDNA expression.Integrated multi-level quality control for proteomic profiling studies using mass spectrometry.Adapting mass spectrometry-based platforms for clinical proteomics applications: The capillary electrophoresis coupled mass spectrometry paradigm.Approaching clinical proteomics: current state and future fields of application in fluid proteomics.Challenges for biomarker discovery in body fluids using SELDI-TOF-MS.Application of Proteomic Analysis to Renal Disease in the Clinic.Sources of Urinary Proteins and their Analysis by Urinary Proteomics for the Detection of Biomarkers of DiseaseHigh-resolution proteome/peptidome analysis of peptides and low-molecular-weight proteins in urineApplying proteomics to the diagnosis and treatment of ALS and related diseases.Addressing the challenge of defining valid proteomic biomarkers and classifiers.Discussion on common data analysis strategies used in MS-based proteomics.Cardiovascular proteomics: translational studies to develop novel biomarkers in heart failure and left ventricular remodeling.Strategy for degradomic-peptidomic analysis of human blood plasmaTowards proteome standards: the use of absolute quantitation in high-throughput biomarker discovery.Enhanced information output from shotgun proteomics data by protein quantification and peptide quality control (PQPQ).Effect of storage temperature as a preanalytical variable on the lens crystallins protein quality for proteomic studies.Functional protease profiling for diagnosis of malignant disease.Evaluation of urinary biomarkers for coronary artery disease, diabetes, and diabetic kidney disease.MALDI MS imaging as a tool for biomarker discovery: methodological challenges in a clinical setting.Prediction of the clinical outcome in invasive candidiasis patients based on molecular fingerprints of five anti-Candida antibodies in serumAn automated plasma protein fractionation design: high-throughput perspectives for proteomic analysis.
P2860
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P2860
Clinical proteomics: A need to define the field and to begin to set adequate standards.
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
2007年论文
@zh
2007年论文
@zh-cn
name
Clinical proteomics: A need to define the field and to begin to set adequate standards.
@en
Clinical proteomics: A need to define the field and to begin to set adequate standards.
@en-gb
type
label
Clinical proteomics: A need to define the field and to begin to set adequate standards.
@en
Clinical proteomics: A need to define the field and to begin to set adequate standards.
@en-gb
prefLabel
Clinical proteomics: A need to define the field and to begin to set adequate standards.
@en
Clinical proteomics: A need to define the field and to begin to set adequate standards.
@en-gb
P2093
P50
P356
P1476
Clinical proteomics: A need to define the field and to begin to set adequate standards.
@en
P2093
Bruce A Julian
Christian Neusuess
Dan Theodorescu
Danilo Fliser
Denis Hochstrasser
Eva M Weissinger
Jennifer E Van Eyk
Joachim Jankowski
Jochen H H Ehrich
P304
P356
10.1002/PRCA.200600771
P50
P577
2007-01-22T00:00:00Z