Demonstrating the feasibility of large-scale development of standardized assays to quantify human proteins. - Wikidata - wikimedia - TriplyDB

Demonstrating the feasibility of large-scale development of standardized assays to quantify human proteins.

Demonstrating the feasibility of large-scale development of standardized assays to quantify human proteins.

http://www.wikidata.org/entity/Q37580083

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The Role of Proteomics in Biomarker Development for Improved Patient Diagnosis and Clinical Decision Making in Prostate Cancer Advances in mass spectrometry-based clinical biomarker discovery Applications of targeted proteomics in systems biology and translational medicine The proteomic landscape of triple-negative breast cancer.Advances in targeted proteomics and applications to biomedical research Human SRMAtlas: A Resource of Targeted Assays to Quantify the Complete Human Proteome Multiplexed, Scheduled, High-Resolution Parallel Reaction Monitoring on a Full Scan QqTOF Instrument with Integrated Data-Dependent and Targeted Mass Spectrometric Workflows.Cleaning out the Litterbox of Proteomic Scientists' Favorite Pet: Optimized Data Analysis Avoiding Trypsin Artifacts Tumor tissue protein signatures reflect histological grade of breast cancer Evaluating melanoma drug response and therapeutic escape with quantitative proteomics Kinome profiling reveals breast cancer heterogeneity and identifies targeted therapeutic opportunities for triple negative breast cancer CPTAC Assay Portal: a repository of targeted proteomic assays.Anti-peptide monoclonal antibodies generated for immuno-multiple reaction monitoring-mass spectrometry assays have a high probability of supporting Western blot and ELISA.Discovery and targeted proteomics on cutaneous biopsies infected by borrelia to investigate lyme disease.Online Peptide fractionation using a multiphasic microfluidic liquid chromatography chip improves reproducibility and detection limits for quantitation in discovery and targeted proteomics.Monitoring host responses to the gut microbiota Quantitative isoform-profiling of highly diversified recognition molecules.Targeted proteomics: a bridge between discovery and validation.Evaluating Serum Markers for Hormone Receptor-Negative Breast Cancer.Peptide Immunoaffinity Enrichment and Targeted Mass Spectrometry Enables Multiplex, Quantitative Pharmacodynamic Studies of Phospho-Signaling.Large-Scale Interlaboratory Study to Develop, Analytically Validate and Apply Highly Multiplexed, Quantitative Peptide Assays to Measure Cancer-Relevant Proteins in Plasma.Comprehensive comparison of molecular portraits between cell lines and tumors in breast cancer.Advances in Proteomic Technologies and Its Contribution to the Field of Cancer Mining the Breast Cancer Proteome for Predictors of Drug Sensitivity.Multiplexed Targeted Mass Spectrometry-Based Assays for the Quantification of N-Linked Glycosite-Containing Peptides in Serum Development and evaluation of a multiplexed mass spectrometry based assay for measuring candidate peptide biomarkers in Alzheimer's Disease Neuroimaging Initiative (ADNI) CSF.Immobilized Metal Affinity Chromatography Coupled to Multiple Reaction Monitoring Enables Reproducible Quantification of Phospho-signaling Protein-Based Classifier to Predict Conversion from Clinically Isolated Syndrome to Multiple Sclerosis Analysis of Major Histocompatibility Complex (MHC) Immunopeptidomes Using Mass Spectrometry.Mass spectrometry-based absolute quantification reveals rhythmic variation of mouse circadian clock proteins Targeted proteomics identifies liquid-biopsy signatures for extracapsular prostate cancer.Quantification of angiotensin II-regulated proteins in urine of patients with polycystic and other chronic kidney diseases by selected reaction monitoring.Development of a Targeted Urine Proteome Assay for kidney diseases.Optimized Protocol for Quantitative Multiple Reaction Monitoring-Based Proteomic Analysis of Formalin-Fixed, Paraffin-Embedded Tissues.Commercially available antibodies can be applied in quantitative multiplexed peptide immunoaffinity enrichment targeted mass spectrometry assays.Neucode Labels for Multiplexed, Absolute Protein Quantification A Timely Shift from Shotgun to Targeted Proteomics and How It Can Be Groundbreaking for Cancer Research.Probing the prostate tumour microenvironment II: Impact of hypoxia on a cell model of prostate cancer progression.Mass spectrometry-based plasma proteomics: state of the art and future outlook.Direct analytical sample quality assessment for biomarker investigation: qualifying cerebrospinal fluid samples.

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Demonstrating the feasibility of large-scale development of standardized assays to quantify human proteins.

http://www.wikidata.org/entity/Q37580083

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 08 December 2013

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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

Demonstrating the feasibility ...... ys to quantify human proteins.

@en

Demonstrating the feasibility ...... ys to quantify human proteins.

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type

label

Demonstrating the feasibility ...... ys to quantify human proteins.

@en

Demonstrating the feasibility ...... ys to quantify human proteins.

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prefLabel

Demonstrating the feasibility ...... ys to quantify human proteins.

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Demonstrating the feasibility ...... ys to quantify human proteins.

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Demonstrating the feasibility ...... ys to quantify human proteins.

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Amanda G Paulovich

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Chenwei Lin

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Cheolju Lee

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Eun Gyeong Yang

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Henry Rodriguez

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Hophil Min

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Jacob J Kennedy

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Jeffrey R Whiteaker

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Jun Seok Kim

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Lei Zhao

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P2860

Comprehensive molecular portraits of human breast tumours

A collection of breast cancer cell lines for the study of functionally distinct cancer subtypes

Gene expression profiling predicts clinical outcome of breast cancer

The genomic landscapes of human breast and colorectal cancers

The PRoteomics IDEntifications (PRIDE) database and associated tools: status in 2013

The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups

Supervised risk predictor of breast cancer based on intrinsic subtypes

Identification of human triple-negative breast cancer subtypes and preclinical models for selection of targeted therapies

Skyline: an open source document editor for creating and analyzing targeted proteomics experiments

A gene-expression signature to predict survival in breast cancer across independent data sets.

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10.1038/NMETH.2763

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1004810879

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3922286

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