scholarly journals ProSight PTM 2.0: improved protein identification and characterization for top down mass spectrometry

2007 ◽  
Vol 35 (Web Server) ◽  
pp. W701-W706 ◽  
Author(s):  
L. Zamdborg ◽  
R. D. LeDuc ◽  
K. J. Glowacz ◽  
Y.-B. Kim ◽  
V. Viswanathan ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Protein Identification ◽  
Top Down ◽  
Identification And Characterization ◽  
Top Down Mass Spectrometry

scholarly journals ProSight PTM: an integrated environment for protein identification and characterization by top-down mass spectrometry

2004 ◽  
Vol 32 (Web Server) ◽  
pp. W340-W345 ◽  
Author(s):  
R. D. LeDuc ◽  
G. K. Taylor ◽  
Y.-B. Kim ◽  
T. E. Januszyk ◽  
L. H. Bynum ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Protein Identification ◽  
Top Down ◽  
Integrated Environment ◽  
Identification And Characterization ◽  
Top Down Mass Spectrometry

scholarly journals Deeper Protein Identification by Using FAIMS in Top-down Proteomics

2021 ◽  
Author(s):  
Robert Gerbasi ◽  
Rafael D. Melani ◽  
Susan E. Abbatiello ◽  
Michael W. Belford ◽  
Romain Huguet ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Molecular Weight ◽  
Gas Phase ◽  
Ion Mobility ◽  
Protein Identification ◽  
Signal To Noise ◽  
Top Down ◽  
Gas Phase Separation ◽  
Identification And Characterization

<div> <p>Field Asymmetric Ion Mobility Spectrometry (FAIMS), when used in proteomics studies, provides superior selectivity, and enables more proteins to be identified by providing additional gas phase separation. Here, we tested the performance of cylindrical FAIMS for the identification and characterization of proteoforms by top-down mass spectrometry of heterogeneous protein mixtures. Combining FAIMS with chromatographic separation resulted in a 62% increase in protein identifications and an 8% increase in proteoform identifications as compared to samples analyzed without FAIMS. This increase was attributable, in part, to improved signal-to-noise for proteoforms with similar retention times. Additionally, our results show that the optimal compensation voltage of any given proteoform was correlated with the molecular weight of the analyte. Collectively these results suggest that the addition of FAIMS can enhance top-down proteomics in both discovery and targeted applications. </p> </div>

scholarly journals Deeper Protein Identification by Using FAIMS in Top-down Proteomics

2021 ◽  
Author(s):  
Robert Gerbasi ◽  
Rafael D. Melani ◽  
Susan E. Abbatiello ◽  
Michael W. Belford ◽  
Romain Huguet ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Molecular Weight ◽  
Gas Phase ◽  
Ion Mobility ◽  
Protein Identification ◽  
Signal To Noise ◽  
Top Down ◽  
Gas Phase Separation ◽  
Identification And Characterization

<div> <p>Field Asymmetric Ion Mobility Spectrometry (FAIMS), when used in proteomics studies, provides superior selectivity, and enables more proteins to be identified by providing additional gas phase separation. Here, we tested the performance of cylindrical FAIMS for the identification and characterization of proteoforms by top-down mass spectrometry of heterogeneous protein mixtures. Combining FAIMS with chromatographic separation resulted in a 62% increase in protein identifications and an 8% increase in proteoform identifications as compared to samples analyzed without FAIMS. This increase was attributable, in part, to improved signal-to-noise for proteoforms with similar retention times. Additionally, our results show that the optimal compensation voltage of any given proteoform was correlated with the molecular weight of the analyte. Collectively these results suggest that the addition of FAIMS can enhance top-down proteomics in both discovery and targeted applications. </p> </div>

TopPIC Gateway: A Web Gateway for Top-Down Mass Spectrometry Data Interpretation

2020 ◽  
Author(s):  
In Kwon Choi ◽  
Eroma Abeysinghe ◽  
Eric Coulter ◽  
Suresh Marru ◽  
Marlon Pierce ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Data Interpretation ◽  
Mass Spectrometry Data ◽  
Top Down ◽  
Top Down Mass Spectrometry

Top-down mass spectrometry

2008 ◽  
Vol 5 (1) ◽  
pp. 24-24 ◽  
Author(s):  
Allison Doerr
Keyword(s):  
Mass Spectrometry ◽  
Top Down ◽  
Top Down Mass Spectrometry

scholarly journals Quantifying Positional Isomers (QPI) by Top-Down Mass Spectrometry

2021 ◽  
Vol 20 ◽  
pp. 100070
Author(s):  
Andrea M. Brunner ◽  
Philip Lössl ◽  
Paul P. Geurink ◽  
Huib Ovaa ◽  
P. Albanese ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Positional Isomers ◽  
Top Down ◽  
Top Down Mass Spectrometry
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