| Literature DB >> 32078799 |
Kyowon Jeong1, Jihyung Kim2, Manasi Gaikwad3, Siti Nurul Hidayah3, Laura Heikaus3, Hartmut Schlüter3, Oliver Kohlbacher4.
Abstract
Top-down mass spectrometry (TD-MS)-based proteomics analyzes intact proteoforms and thus preserves information about individual protein species. The MS signal of these high-mass analytes is complex and challenges the accurate determination of proteoform masses. Fast and accurate feature deconvolution (i.e., the determination of intact proteoform masses) is, therefore, an essential step for TD data analysis. Here, we present FLASHDeconv, an algorithm achieving higher deconvolution quality, with an execution speed two orders of magnitude faster than existing approaches. FLASHDeconv transforms peak positions (m/z) within spectra into log m/z space. This simple transformation turns the deconvolution problem into a search for constant patterns, thereby greatly accelerating the process. In both simple and complex samples, FLASHDeconv reports more genuine feature masses and substantially fewer artifacts than other existing methods. FLASHDeconv is freely available for download here: https://www.openms.org/flashdeconv/. A record of this paper's Transparent Peer Review process is included in the Supplemental Information.Keywords: feature deconvolution; intact protein analysis; mass deconvolution; proteoform characterization; top-down proteomics
Mesh:
Year: 2020 PMID: 32078799 DOI: 10.1016/j.cels.2020.01.003
Source DB: PubMed Journal: Cell Syst ISSN: 2405-4712 Impact factor: 10.304