scholarly journals Human Proteome Project Mass Spectrometry Data Interpretation Guidelines 3.0

2019 ◽  
Author(s):  
Eric W. Deutsch ◽  
Lydie Lane ◽  
Christopher M. Overall ◽  
Nuno Bandeira ◽  
Mark S. Baker ◽  
...  

AbstractThe Human Proteome Organization’s (HUPO) Human Proteome Project (HPP) developed Mass Spectrometry (MS) Data Interpretation Guidelines that have been applied since 2016. These guidelines have helped ensure that the emerging draft of the complete human proteome is highly accurate and with low numbers of false-positive protein identifications. Here, we describe an update to these guidelines based on consensus-reaching discussions with the wider HPP community over the past year. The revised 3.0 guidelines address several major and minor identified gaps. We have added guidelines for emerging data independent acquisition (DIA) MS workflows and for use of the new Universal Spectrum Identifier (USI) system being developed by the HUPO Proteomics Standards Initiative (PSI). In addition, we discuss updates to the standard HPP pipeline for collecting MS evidence for all proteins in the HPP, including refinements to minimum evidence. We present a new plan for incorporating MassIVE-KB into the HPP pipeline for the next (HPP 2020) cycle in order to obtain more comprehensive coverage of public MS data sets. The main checklist has been reorganized under headings and subitems and related guidelines have been grouped. In sum, Version 2.1 of the HPP MS Data Interpretation Guidelines has served well and this timely update to version 3.0 will aid the HPP as it approaches its goal of collecting and curating MS evidence of translation and expression for all predicted ∼20,000 human proteins encoded by the human genome.Abstract Figure

2016 ◽  
Vol 15 (11) ◽  
pp. 3961-3970 ◽  
Author(s):  
Eric W. Deutsch ◽  
Christopher M. Overall ◽  
Jennifer E. Van Eyk ◽  
Mark S. Baker ◽  
Young-Ki Paik ◽  
...  

2019 ◽  
Vol 18 (12) ◽  
pp. 4108-4116 ◽  
Author(s):  
Eric W. Deutsch ◽  
Lydie Lane ◽  
Christopher M. Overall ◽  
Nuno Bandeira ◽  
Mark S. Baker ◽  
...  

Author(s):  
In Kwon Choi ◽  
Eroma Abeysinghe ◽  
Eric Coulter ◽  
Suresh Marru ◽  
Marlon Pierce ◽  
...  

2017 ◽  
Vol 108 ◽  
pp. 51-60 ◽  
Author(s):  
Peter Herzsprung ◽  
Wolf von Tümpling ◽  
Katrin Wendt-Potthoff ◽  
Norbert Hertkorn ◽  
Mourad Harir ◽  
...  

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Yalan Xu ◽  
Xiuyue Song ◽  
Dong Wang ◽  
Yin Wang ◽  
Peifeng Li ◽  
...  

AbstractChemical synapses in the brain connect neurons to form neural circuits, providing the structural and functional bases for neural communication. Disrupted synaptic signaling is closely related to a variety of neurological and psychiatric disorders. In the past two decades, proteomics has blossomed as a versatile tool in biological and biomedical research, rendering a wealth of information toward decoding the molecular machinery of life. There is enormous interest in employing proteomic approaches for the study of synapses, and substantial progress has been made. Here, we review the findings of proteomic studies of chemical synapses in the brain, with special attention paid to the key players in synaptic signaling, i.e., the synaptic protein complexes and their post-translational modifications. Looking toward the future, we discuss the technological advances in proteomics such as data-independent acquisition mass spectrometry (DIA-MS), cross-linking in combination with mass spectrometry (CXMS), and proximity proteomics, along with their potential to untangle the mystery of how the brain functions at the molecular level. Last but not least, we introduce the newly developed synaptomic methods. These methods and their successful applications marked the beginnings of the synaptomics era.


2011 ◽  
Vol 11 (1) ◽  
pp. O111.011379 ◽  
Author(s):  
Mathias Wilhelm ◽  
Marc Kirchner ◽  
Judith A. J. Steen ◽  
Hanno Steen

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