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Title of Journal: J Am Soc Mass Spectrom

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Abbravation: Journal of The American Society for Mass Spectrometry

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Springer US

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10.1002/tera.1420450410

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1879-1123

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The HIndex of ‘An Approach to Correlate Tandem Ma

Authors: Michael P Washburn
Publish Date: 2015/06/20
Volume: 26, Issue: 11, Pages: 1799-1803
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Abstract

Over 20 years ago a remarkable paper was published in the Journal of American Society for Mass Spectrometry This paper from Jimmy Eng Ashley McCormack and John Yates described the use of protein databases to drive the interpretation of tandem mass spectra of peptides This paper now has over 3660 citations and continues to average more than 260 per year over the last decade This is an amazing scientific achievement The reason for this is the paper was a cutting edge development at the moment in time when genomes of organisms were being sequenced protein and peptide mass spectrometry was growing into the field of proteomics and the power of computing was growing quickly in accordance with Moore’s law This work by the Yates lab grew in importance as genomics proteomics and computation all advanced and eventually resulted in the widely used SEQUEST algorithm and platform for the analysis of tandem mass spectrometry data This commentary provides an analysis of the impact of this paper by analyzing the citations it has generated and the impact of these citing papersWord clouds of all titles of all citing papers From wwwwordlenet a shows the word cloud using all the terms in all the titles of all citing papers and b shows the word cloud using only biological terms after the mass spectrometry and proteomics related terms have been removedIt is important to note that while Eng et al 1 is widely associated with SEQUEST the first time the term SEQUEST appeared in print was in a paper published in Rapid Communications in Mass Spectrometry entitled ‘Direct database searching with MALDIPSD spectra of peptides’ 3 and this paper has been cited 71 times The first time SEQUEST appeared in PubMed was in 1996 in another paper in JASMS 4 which has been cited 52 times In between the two important papers in JASMS the Yates lab published two papers in Analytical Chemistry that expanded on the landmark Eng et al study in 1994 1 Both of these papers are highly cited in their own right with 298 citations for one 5 and 923 citations for the other 6 A strong argument can be made that the less cited of these two papers which describes a method to mine genomes by using a sixframe translation of a nucleotide sequence database to identify peptides 5 provided an underappreciated foundation for the current practice of proteogenomics The second of these two papers is significant because it describes the analysis of covalently modified peptides including posttranslational modifications like phosphorylation 6 Both proteogenomics and the analysis of posttranslational modifications are important applications of modern proteomics and these two papers played important early roles in these fields

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Other Papers In This Journal:
  1. Distonic Ions: Editorial
  2. On the Efficiency of NHS Ester Cross-Linkers for Stabilizing Integral Membrane Protein Complexes
  3. Dynamic Interchanging Native States of Lymphotactin Examined by SNAPP-MS
  4. Quantitative Assessment of Protein Structural Models by Comparison of H/D Exchange MS Data with Exchange Behavior Accurately Predicted by DXCOREX
  5. Reflections on Charge State Distributions, Protein Structure, and the Mystical Mechanism of Electrospray Ionization
  6. CYCLONE—A Utility for De Novo Sequencing of Microbial Cyclic Peptides
  7. Mass Spectrometry-Based Quantification of Pseudouridine in RNA
  8. Statistical Examination of the a and a + 1 Fragment Ions from 193 nm Ultraviolet Photodissociation Reveals Local Hydrogen Bonding Interactions
  9. Perspective on Electrospray Ionization and Its Relation to Electrochemistry
  10. Untargeted Metabolomics Strategies—Challenges and Emerging Directions
  11. Development of a Magnetic Microbead Affinity Selection Screen (MagMASS) Using Mass Spectrometry for Ligands to the Retinoid X Receptor-α
  12. Structural Investigation of Protonated Azidothymidine and Protonated Dimer
  13. Application of Probe Electrospray Ionization Mass Spectrometry (PESI-MS) to Clinical Diagnosis: Solvent Effect on Lipid Analysis
  14. Ion-Molecule Clustering in Differential Mobility Spectrometry: Lessons Learned from Tetraalkylammonium Cations and their Isomers
  15. Charge Detection Mass Spectrometry for Single Ions with an Uncertainty in the Charge Measurement of 0.65 e
  16. Super-Atmospheric Pressure Electrospray Ion Source: Applied to Aqueous Solution
  17. Probing the Electron Capture Dissociation Mass Spectrometry of Phosphopeptides with Traveling Wave Ion Mobility Spectrometry and Molecular Dynamics Simulations
  18. Efficient Covalent Bond Formation in Gas-Phase Peptide–Peptide Ion Complexes with the Photoleucine Stapler
  19. Ion Trap Electric Field Characterization Using Slab Coupled Optical Fiber Sensors
  20. Picoelectrospray Ionization Mass Spectrometry Using Narrow-Bore Chemically Etched Emitters
  21. Predicting Compensation Voltage for Singly-charged Ions in High-Field Asymmetric Waveform Ion Mobility Spectrometry (FAIMS)
  22. Native ESI Mass Spectrometry Can Help to Avoid Wrong Interpretations from Isothermal Titration Calorimetry in Difficult Situations
  23. Characterization of Tyrosine Nitration and Cysteine Nitrosylation Modifications by Metastable Atom-Activation Dissociation Mass Spectrometry
  24. Deconstructing Desorption Electrospray Ionization: Independent Optimization of Desorption and Ionization by Spray Desorption Collection
  25. Matrix Assisted Ionization in Vacuum, a Sensitive and Widely Applicable Ionization Method for Mass Spectrometry
  26. Localization of Post-Translational Modifications in Peptide Mixtures via High-Resolution Differential Ion Mobility Separations Followed by Electron Transfer Dissociation
  27. MALDI Mass Spectrometric Imaging of Lipids in Rat Brain Injury Models
  28. High Production of Small Organic Dicarboxylate Dianions by DESI and ESI
  29. Automated Lipid A Structure Assignment from Hierarchical Tandem Mass Spectrometry Data
  30. Automated Lipid A Structure Assignment from Hierarchical Tandem Mass Spectrometry Data
  31. Transitioning from Targeted to Comprehensive Mass Spectrometry Using Genetic Algorithms
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