Improved protein identification using automated high mass measurement accuracy MALDI FT-ICR MS peptide mass fingerprinting

被引:14
作者
Horn, DM
Peters, EC
Klock, H
Meyers, A
Brock, A
机构
[1] Novartis Res Fdn, Genom Inst, San Diego, CA 92121 USA
[2] Scripps Res Inst, La Jolla, CA 92037 USA
关键词
peptide mass fingerprinting; MALDI; mass accuracy; FT-ICR;
D O I
10.1016/j.ijms.2004.03.016
中图分类号
O64 [物理化学(理论化学)、化学物理学]; O56 [分子物理学、原子物理学];
学科分类号
070203 ; 070304 ; 081704 ; 1406 ;
摘要
A comparison between automated peptide mass fingerprinting systems using MALDI-TOF and MALDI FT-ICR MS is presented using 86 overexpressed proteins from Thermotoga maritima. The high mass measurement accuracy of FT-ICR MS greatly reduces the probability of an incorrect assignment of a protein in peptide mass fingerprinting by significantly decreasing the score and peptide sequence coverage of the highest ranked random protein match from the database. This improved mass accuracy led to the identification of all 86 proteins with the FT-ICR data versus 84 proteins using the TOF data against the T maritima database. The beneficial effect of mass accuracy becomes much more evident with the addition of variable modifications and an increase in the size of the database used in the search. A search of the same data against the T maritima database with the addition of a variable modification resulted in 77 identifications using MALDI-TOF and 84 identifications using MALDI FT-ICR MS. When searching the NCBInr database, the FT-ICR based system identified 82 of 86 proteins while the TOF based system could only identify 73. The MALDI FT-ICR based system has the further advantage of producing fewer unassigned masses in each peptide mass fingerprint, resulting in greatly reduced sequence coverage and score for the highest ranked random match and improving confidence in the correctly assigned top scoring protein. Finally, the use of rms error as a measure for instrumental mass accuracy is discussed. (C) 2004 Elsevier B.V. All rights reserved.
引用
收藏
页码:189 / 196
页数:8
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