scholarly journals Mass Spectrometry and Proteomics Research

2003 ◽  
Vol 8 (2) ◽  
pp. 60-61
Author(s):  
Toshifumi Takao
2020 ◽  
Vol 48 (5) ◽  
pp. 1953-1966
Author(s):  
Lindsay K. Pino ◽  
Jacob Rose ◽  
Amy O'Broin ◽  
Samah Shah ◽  
Birgit Schilling

Research into the basic biology of human health and disease, as well as translational human research and clinical applications, all benefit from the growing accessibility and versatility of mass spectrometry (MS)-based proteomics. Although once limited in throughput and sensitivity, proteomic studies have quickly grown in scope and scale over the last decade due to significant advances in instrumentation, computational approaches, and bio-sample preparation. Here, we review these latest developments in MS and highlight how these techniques are used to study the mechanisms, diagnosis, and treatment of human diseases. We first describe recent groundbreaking technological advancements for MS-based proteomics, including novel data acquisition techniques and protein quantification approaches. Next, we describe innovations that enable the unprecedented depth of coverage in protein signaling and spatiotemporal protein distributions, including studies of post-translational modifications, protein turnover, and single-cell proteomics. Finally, we explore new workflows to investigate protein complexes and structures, and we present new approaches for protein–protein interaction studies and intact protein or top-down MS. While these approaches are only recently incipient, we anticipate that their use in biomedical MS proteomics research will offer actionable discoveries for the improvement of human health.


2006 ◽  
Vol 78 (18) ◽  
pp. 6614-6621 ◽  
Author(s):  
Huiling Liu ◽  
Yangjun Zhang ◽  
Jinglan Wang ◽  
Dong Wang ◽  
Chunxi Zhou ◽  
...  

2000 ◽  
Vol 21 (11) ◽  
pp. 2252-2265 ◽  
Author(s):  
Thomas Keough ◽  
Martin P. Lacey ◽  
Angela M. Fieno ◽  
Raymond A. Grant ◽  
Yiping Sun ◽  
...  

2004 ◽  
Vol 22 (11) ◽  
pp. 1459-1466 ◽  
Author(s):  
Patrick G A Pedrioli ◽  
Jimmy K Eng ◽  
Robert Hubley ◽  
Mathijs Vogelzang ◽  
Eric W Deutsch ◽  
...  

2008 ◽  
Vol 33 (1) ◽  
pp. 18-25 ◽  
Author(s):  
Eric W. Deutsch ◽  
Henry Lam ◽  
Ruedi Aebersold

Data processing is a central and critical component of a successful proteomics experiment, and is often the most time-consuming step. There have been considerable advances in the field of proteomics informatics in the past 5 years, spurred mainly by free and open-source software tools. Along with the gains afforded by new software, the benefits of making raw data and processed results freely available to the community in data repositories are finally in evidence. In this review, we provide an overview of the general analysis approaches, software tools, and repositories that are enabling successful proteomics research via tandem mass spectrometry.


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