Perrar A, Dissmeyer N, Huesgen PF (2019) New beginnings and new ends: methods for large-scale characterization of protein termini and their use in plant biology. J Exp Bot 70:2021–2038. https://doi.org/10.1093/jxb/erz104
CAS
CrossRef
PubMed
PubMed Central
Google Scholar
Weng SSH, Demir F, Ergin EK et al (2019) Sensitive determination of proteolytic proteoforms in limited microscale proteome samples. Mol Cell Proteomics 18:2335–2347. https://doi.org/10.1101/566109
CAS
CrossRef
PubMed
PubMed Central
Google Scholar
Niedermaier S, Huesgen PF (2019) Positional proteomics for identification of secreted proteoforms released by site-specific processing of membrane proteins. Biochim Biophys Acta Proteins Proteom 1867:140138. https://doi.org/10.1016/j.bbapap.2018.09.004
CAS
CrossRef
PubMed
Google Scholar
Tyanova S, Temu T, Cox J (2016) The MaxQuant computational platform for mass spectrometry—based shotgun proteomics. Nat Protoc 11:2301–2319. https://doi.org/10.1038/nprot.2016.136
CAS
CrossRef
PubMed
Google Scholar
Röst HL, Sachsenberg T, Aiche S et al (2016) OpenMS: a flexible open-source software platform for mass spectrometry data analysis. Nat Methods 13:741–748. https://doi.org/10.1038/nmeth.3959
CAS
CrossRef
PubMed
Google Scholar
Orsburn BC (2021) Proteome discoverer—a community enhanced data processing suite for protein informatics. Proteomes 9:15. https://doi.org/10.3390/proteomes9010015
CAS
CrossRef
PubMed
PubMed Central
Google Scholar
Deutsch EW, Mendoza L, Shteynberg D et al (2015) Trans-Proteomic Pipeline, a standardized data processing pipeline for large-scale reproducible proteomics informatics. Prot Clin Appl 9:745–754. https://doi.org/10.1002/prca.201400164
CAS
CrossRef
Google Scholar
Demir F, Kizhakkedathu JN, Rinschen MM, Huesgen PF (2021) MANTI: automated annotation of protein N-termini for rapid interpretation of N-terminome data sets. Anal Chem 93:5596–5605. https://doi.org/10.1021/acs.analchem.1c00310
CAS
CrossRef
PubMed
PubMed Central
Google Scholar
Bateman A, Martin MJ, O’Donovan C et al (2017) UniProt: the universal protein knowledgebase. Nucleic Acids Res 45:D158–D169. https://doi.org/10.1093/nar/gkw1099
CAS
CrossRef
Google Scholar
Sperschneider J, Catanzariti AM, Deboer K et al (2017) LOCALIZER: subcellular localization prediction of both plant and effector proteins in the plant cell. Sci Rep 7:1–14. https://doi.org/10.1038/srep44598
CrossRef
Google Scholar
Armenteros JJA, Salvatore M, Emanuelsson O et al (2019) Detecting sequence signals in targeting peptides using deep learning. Life Sci Alliance 2:1–14. https://doi.org/10.26508/lsa.201900429
CrossRef
Google Scholar
Fortelny N, Yang S, Pavlidis P et al (2015) Proteome TopFIND 3.0 with TopFINDer and PathFINDer: database and analysis tools for the association of protein termini to pre- and post-translational events. Nucleic Acids Res 43:D290–D297. https://doi.org/10.1093/nar/gku1012
CAS
CrossRef
PubMed
Google Scholar
Meyer B, Chiaravalli J, Gellenoncourt S et al (2020) Characterisation of protease activity during SARS-CoV-2 infection identifies novel viral cleavage sites and cellular targets for drug repurposing. Microbiology
Google Scholar
Demir F, Niedermaier S, Kizhakkedathu JN, Huesgen PF (2017) Profiling of protein N-termini and their modifications in complex samples. In: Schilling O (ed) Methods in molecular biology. pp 35–50
Google Scholar
Tyanova S, Cox J (2018) Perseus: a bioinformatics platform for integrative analysis of proteomics data in cancer research. Methods Mol Biol (Clifton, NJ) 1711:133–148. https://doi.org/10.1007/978-1-4939-7493-1_7
CAS
CrossRef
Google Scholar
Cox J, Mann M (2008) MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification. Nat Biotechnol 26:1367–1372. https://doi.org/10.1038/nbt.1511
CAS
CrossRef
PubMed
Google Scholar
Mann M (2006) Functional and quantitative proteomics using SILAC. Nat Rev Mol Cell Biol 7:952–958. https://doi.org/10.1038/nrm2067
CAS
CrossRef
PubMed
Google Scholar
Tsiatsiani L, Stael S, van Damme P et al (2014) Preparation of arabidopsis thaliana seedling proteomes for identifying metacaspase substrates by N-terminal COFRADIC. Methods Mol Biol 1133:255–261. https://doi.org/10.1007/978-1-4939-0357-3
CAS
CrossRef
PubMed
Google Scholar
Boersema PJ, Raijmakers R, Lemeer S et al (2009) Multiplex peptide stable isotope dimethyl labeling for quantitative proteomics. Nat Protoc 4:484–494. https://doi.org/10.1038/nprot.2009.21
CAS
CrossRef
PubMed
Google Scholar