Analysis of urinary nucleosides as potential cancer markers determined using LC–MS technique

2014 ◽  
Vol 101 ◽  
pp. 50-57 ◽  
Author(s):  
Wiktoria Struck-Lewicka ◽  
Roman Kaliszan ◽  
Michał Jan Markuszewski
2010 ◽  
Author(s):  
Leroi V. DeSouza ◽  
Declan Williams ◽  
Ajay Matta ◽  
K. W. Michael Siu

2008 ◽  
Vol 85 (2) ◽  
pp. 349-352 ◽  
Author(s):  
Carla de Freitas Campos ◽  
Nerida Cole ◽  
Derek Van Dyk ◽  
Bradley J. Walsh ◽  
Penelope Diakos ◽  
...  

2012 ◽  
Vol 7 (1) ◽  
Author(s):  
Joanna Giebultowicz ◽  
Malgorzata Polanska-Plachta ◽  
Piotr Wroczynski ◽  
Piotr Zaborowski ◽  
Jerzy A Polanski

2010 ◽  
Vol 28 (4) ◽  
pp. 233-239 ◽  
Author(s):  
Sharon Pitteri ◽  
Sam Hanash

The proteomics field has experienced rapid growth with technologies achieving ever increasing accuracy, sensitivity, and throughput, and with availability of computational tools to address particular applications. Given that the proteome represents the most functional component encoded for in the genome, a systems approach to disease investigations and biomarker identification benefits substantially from integration of proteome level studies. Here we present proteomic approaches that have allowed systematic searches for potential cancer markers by integrating cancer cell profiling with additional sources of data, as illustrated with recent studies of ovarian cancer.


2019 ◽  
Vol 100 (6) ◽  
pp. 985-998 ◽  
Author(s):  
Anna Sophie Ramsauer ◽  
Jakub Kubacki ◽  
Claude Favrot ◽  
Mathias Ackermann ◽  
Cornel Fraefel ◽  
...  

2016 ◽  
Vol 48 (5) ◽  
pp. 1921-1932 ◽  
Author(s):  
HOLGER HUSI ◽  
RICHARD J.E. SKIPWORTH ◽  
ANDREW CRONSHAW ◽  
KENNETH C.H. FEARON ◽  
JAMES A. ROSS

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