Label-free protein quantification after ultrafast digestion of complex proteomes using ultrasonic energy and immobilized-trypsin magnetic nanoparticles

Talanta ◽  
2019 ◽  
Vol 196 ◽  
pp. 262-270 ◽  
Author(s):  
Gonçalo Martins ◽  
Javier Fernández-Lodeiro ◽  
Jamila Djafari ◽  
Carlos Lodeiro ◽  
J.L. Capelo ◽  
...  
Keyword(s):  
Magnetic Nanoparticles ◽  
Protein Quantification ◽  
Ultrasonic Energy ◽  
Label Free ◽  
Free Protein ◽  
Immobilized Trypsin

scholarly journals In-depth Exploration of Cerebrospinal Fluid by Combining Peptide Ligand Library Treatment and Label-free Protein Quantification

2010 ◽  
Vol 9 (5) ◽  
pp. 1006-1021 ◽  
Author(s):  
Emmanuelle Mouton-Barbosa ◽  
Florence Roux-Dalvai ◽  
David Bouyssié ◽  
François Berger ◽  
Eric Schmidt ◽  
...  
Keyword(s):  
Cerebrospinal Fluid ◽  
Protein Quantification ◽  
Peptide Ligand ◽  
Label Free ◽  
Free Protein

scholarly journals Proteomic Characterization of Cerebrospinal Fluid from Ataxia-Telangiectasia (A-T) Patients Using a LC/MS-Based Label-Free Protein Quantification Technology

2011 ◽  
Vol 2011 ◽  
pp. 1-13 ◽  
Author(s):  
Monika Dzieciatkowska ◽  
Guihong Qi ◽  
Jinsam You ◽  
Kerry G. Bemis ◽  
Heather Sahm ◽  
...  
Keyword(s):  
Cerebrospinal Fluid ◽  
Biomarker Discovery ◽  
Functional Characterization ◽  
Therapeutic Targets ◽  
Bioinformatic Analysis ◽  
Protein Quantification ◽  
Label Free ◽  
Free Protein ◽  
Potential Biomarker

Cerebrospinal fluid (CSF) has been used for biomarker discovery of neurodegenerative diseases in humans since biological changes in the brain can be seen in this biofluid. Inactivation of A-T-mutated protein (ATM), a multifunctional protein kinase, is responsible for A-T, yet biochemical studies have not succeeded in conclusively identifying the molecular mechanism(s) underlying the neurodegeneration seen in A-T patients or the proteins that can be used as biomarkers for neurologic assessment of A-T or as potential therapeutic targets. In this study, we applied a high-throughput LC/MS-based label-free protein quantification technology to quantitatively characterize the proteins in CSF samples in order to identify differentially expressed proteins that can serve as potential biomarker candidates for A-T. Among 204 identified CSF proteins with high peptide-identification confidence, thirteen showed significant protein expression changes. Bioinformatic analysis revealed that these 13 proteins are either involved in neurodegenerative disorders or cancer. Future molecular and functional characterization of these proteins would provide more insights into the potential therapeutic targets for the treatment of A-T and the biomarkers that can be used to monitor or predict A-T disease progression. Clinical validation studies are required before any of these proteins can be developed into clinically useful biomarkers.

scholarly journals Automated Selected Reaction Monitoring Software for Accurate Label-Free Protein Quantification

2012 ◽  
Vol 11 (7) ◽  
pp. 3766-3773 ◽  
Author(s):  
Johan Teleman ◽  
Christofer Karlsson ◽  
Sofia Waldemarson ◽  
Karin Hansson ◽  
Peter James ◽  
...  
Keyword(s):  
Protein Quantification ◽  
Selected Reaction Monitoring ◽  
Reaction Monitoring ◽  
Label Free ◽  
Free Protein ◽  
Monitoring Software

scholarly journals RIBAR and xRIBAR: Methods for Reproducible Relative MS/MS-based Label-Free Protein Quantification

2011 ◽  
Vol 10 (7) ◽  
pp. 3183-3189 ◽  
Author(s):  
Niklaas Colaert ◽  
Kris Gevaert ◽  
Lennart Martens
Keyword(s):  
Protein Quantification ◽  
Label Free ◽  
Free Protein

scholarly journals Label-Free Protein Quantification for Plant Golgi Protein Localization and Abundance

2014 ◽  
Vol 166 (2) ◽  
pp. 1033-1043 ◽  
Author(s):  
N. Nikolovski ◽  
P. V. Shliaha ◽  
L. Gatto ◽  
P. Dupree ◽  
K. S. Lilley
Keyword(s):  
Protein Localization ◽  
Protein Quantification ◽  
Label Free ◽  
Free Protein ◽  
Golgi Protein

scholarly journals A computational approach toward label-free protein quantification using predicted peptide detectability

2006 ◽  
Vol 22 (14) ◽  
pp. e481-e488 ◽  
Author(s):  
H. Tang ◽  
R. J. Arnold ◽  
P. Alves ◽  
Z. Xun ◽  
D. E. Clemmer ◽  
...  
Keyword(s):  
Computational Approach ◽  
Protein Quantification ◽  
Label Free ◽  
Free Protein ◽  
Peptide Detectability
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