scholarly journals Mass spectrometry in cancer biomarker research: a case for immunodepletion of abundant blood-derived proteins from clinical tissue specimens

2014 ◽  
Vol 8 (2) ◽  
pp. 269-286 ◽  
Author(s):  
DaRue A Prieto ◽  
Donald J Johann ◽  
Bih-Rong Wei ◽  
Xiaoying Ye ◽  
King C Chan ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Cancer Biomarker ◽  
Tissue Specimens ◽  
Biomarker Research

Radiation Biomarker Research Using Mass Spectrometry

2007 ◽  
Author(s):  
Stephan B. Bach ◽  
Walter Hubert
Keyword(s):  
Mass Spectrometry ◽  
Biomarker Research

A peptide-centric approach to breast cancer biomarker discovery utilizing label-free multiple reaction monitoring mass spectrometry

2008 ◽  
Vol 3 (1) ◽  
pp. 78-82 ◽  
Author(s):  
Gergana Metodieva ◽  
Christina Greenwood ◽  
Louise Alldridge ◽  
Paul Sauven ◽  
Metodi Metodiev
Keyword(s):  
Breast Cancer ◽  
Mass Spectrometry ◽  
Biomarker Discovery ◽  
Multiple Reaction Monitoring ◽  
Cancer Biomarker ◽  
Reaction Monitoring ◽  
Label Free

scholarly journals Analytical Considerations of Stable Isotope Labelling in Lipidomics

Biomolecules ◽  
2018 ◽  
Vol 8 (4) ◽  
pp. 151 ◽  
Author(s):  
Alexander Triebl ◽  
Markus Wenk
Keyword(s):  
Mass Spectrometry ◽  
Stable Isotope ◽  
Clinical Settings ◽  
Stable Isotope Labelling ◽  
Stable Isotope Label ◽  
Isotope Labelling ◽  
Isotope Label ◽  
Lipid Biomarker ◽  
Staple Technique ◽  
Biomarker Research

Over the last two decades, lipids have come to be understood as far more than merely components of cellular membranes and forms of energy storage, and are now also being implicated to play important roles in a variety of diseases, with lipid biomarker research one of the most widespread applications of lipidomic techniques both in research and in clinical settings. Stable isotope labelling has become a staple technique in the analysis of small molecule metabolism and dynamics, as it is the only experimental setup by which biosynthesis, remodelling and degradation of biomolecules can be directly measured. Using state-of-the-art analytical technologies such as chromatography-coupled high resolution tandem mass spectrometry, the stable isotope label can be precisely localized and quantified within the biomolecules. The application of stable isotope labelling to lipidomics is however complicated by the diversity of lipids and the complexity of the necessary data analysis. This article discusses key experimental aspects of stable isotope labelling in the field of mass spectrometry-based lipidomics, summarizes current applications and provides an outlook on future developments and potential.

Bioethics and Cancer Biomarker Research

2017 ◽  
pp. 277-282
Author(s):  
Nathan Nobis ◽  
William E Grizzle ◽  
Stephen Sodeke
Keyword(s):  
Cancer Biomarker ◽  
Biomarker Research

Mass spectrometry-based proteomics: The road to lung cancer biomarker discovery

2012 ◽  
Vol 32 (2) ◽  
pp. 129-142 ◽  
Author(s):  
Paola Indovina ◽  
Eleonora Marcelli ◽  
Francesca Pentimalli ◽  
Piero Tanganelli ◽  
Giulio Tarro ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Lung Cancer ◽  
Biomarker Discovery ◽  
Cancer Biomarker ◽  
The Road ◽  
Lung Cancer Biomarker

scholarly journals Candidate List of yoUr Biomarker (CLUB): A Web-based Platform to Aid Cancer Biomarker Research

2008 ◽  
Vol 3 ◽  
pp. BMI.S467 ◽  
Author(s):  
Bernett T.K. Lee ◽  
Lailing Liew ◽  
Jiahao Lim ◽  
Jonathan K.L. Tan ◽  
Tze Chuen Lee ◽  
...  
Keyword(s):  
Interaction Network ◽  
Cancer Biomarkers ◽  
Cancer Biomarker ◽  
Candidate List ◽  
Web Based ◽  
Selection Procedures ◽  
Network Database ◽  
Molecular Interaction Networks ◽  
Biomarker Research ◽  
Validation Stage

CLUB (“Candidate List of yoUr Biomarkers”) is a freely available, web-based resource designed to support Cancer biomarker research. It is targeted to provide a comprehensive list of candidate biomarkers for various cancers that have been reported by the research community. CLUB provides tools for comparison of marker candidates from different experimental platforms, with the ability to filter, search, query and explore, molecular interaction networks associated with cancer biomarkers from the published literature and from data uploaded by the community. This complex and ambitious project is implemented in phases. As a first step, we have compiled from the literature an initial set of differentially expressed human candidate cancer biomarkers. Each candidate is annotated with information from publicly available databases such as Gene Ontology, Swiss-Prot database, National Center for Biotechnology Information's reference sequences, Biomolecular Interaction Network Database and IntAct interaction. The user has the option to maintain private lists of biomarker candidates or share and export these for use by the community. Furthermore, users may customize and combine commonly used sets of selection procedures and apply them as a stored workflow using selected candidate lists. To enable an assessment by the user before taking a candidate biomarker to the experimental validation stage, the platform contains the functionality to identify pathways associated with cancer risk, staging, prognosis, outcome in cancer and other clinically associated phenotypes. The system is available at http://club.bii.a-star.edu.sg .

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