Gast ::
| Hauptseite > Publikationsdatenbank > MANTI: Automated Annotation of Protein N-Termini for Rapid Interpretation of N-Terminome Data Sets > print |
| Hauptseite > Publikationsdatenbank > MANTI: Automated Annotation of Protein N-Termini for Rapid Interpretation of N-Terminome Data Sets > print |
| 001 | 891164 | ||
| 005 | 20210623133400.0 | ||
| 024 | 7 | _ | |a 10.1021/acs.analchem.1c00310 |2 doi |
| 024 | 7 | _ | |a 0003-2700 |2 ISSN |
| 024 | 7 | _ | |a 0096-4484 |2 ISSN |
| 024 | 7 | _ | |a 1520-6882 |2 ISSN |
| 024 | 7 | _ | |a 1541-4655 |2 ISSN |
| 024 | 7 | _ | |a 2128/27538 |2 Handle |
| 024 | 7 | _ | |a altmetric:102000063 |2 altmetric |
| 024 | 7 | _ | |a 33729755 |2 pmid |
| 024 | 7 | _ | |a WOS:000638986400032 |2 WOS |
| 037 | _ | _ | |a FZJ-2021-01402 |
| 082 | _ | _ | |a 540 |
| 100 | 1 | _ | |a Demir, Fatih |0 P:(DE-Juel1)167325 |b 0 |e Corresponding author |
| 245 | _ | _ | |a MANTI: Automated Annotation of Protein N-Termini for Rapid Interpretation of N-Terminome Data Sets |
| 260 | _ | _ | |a Columbus, Ohio |c 2021 |b American Chemical Society |
| 336 | 7 | _ | |a article |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1617967695_9159 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 520 | _ | _ | |a Site-specific proteolytic processing is an important, irreversible post-translational protein modification with implications in many diseases. Enrichment of protein N-terminal peptides followed by mass spectrometry-based identification and quantification enables proteome-wide characterization of proteolytic processes and protease substrates but is challenged by the lack of specific annotation tools. A common problem is, for example, ambiguous matches of identified peptides to multiple protein entries in the databases used for identification. We developed MaxQuant Advanced N-termini Interpreter (MANTI), a standalone Perl software with an optional graphical user interface that validates and annotates N-terminal peptides identified by database searches with the popular MaxQuant software package by integrating information from multiple data sources. MANTI utilizes diverse annotation information in a multistep decision process to assign a conservative preferred protein entry for each N-terminal peptide, enabling automated classification according to the likely origin and determines significant changes in N-terminal peptide abundance. Auxiliary R scripts included in the software package summarize and visualize key aspects of the data. To showcase the utility of MANTI, we generated two large-scale TAILS N-terminome data sets from two different animal models of chemically and genetically induced kidney disease, puromycin adenonucleoside-treated rats (PAN), and heterozygous Wilms Tumor protein 1 mice (WT1). MANTI enabled rapid validation and autonomous annotation of >10 000 identified terminal peptides, revealing novel proteolytic proteoforms in 905 and 644 proteins, respectively. Quantitative analysis indicated that proteolytic activities with similar sequence specificity are involved in the pathogenesis of kidney injury and proteinuria in both models, whereas coagulation processes and complement activation were specifically induced after chemical injury. |
| 536 | _ | _ | |a 217 - Für eine nachhaltige Bio-Ökonomie – von Ressourcen zu Produkten (POF4-217) |0 G:(DE-HGF)POF4-217 |c POF4-217 |x 0 |f POF IV |
| 536 | _ | _ | |a ProPlantStress - Proteolytic processing in plant stress signal transduction and responses to abiotic stress and pathogen attack (639905) |0 G:(EU-Grant)639905 |c 639905 |x 1 |f ERC-2014-STG |
| 588 | _ | _ | |a Dataset connected to CrossRef |
| 700 | 1 | _ | |a Kizhakkedathu, Jayachandran N. |0 0000-0001-7688-7574 |b 1 |
| 700 | 1 | _ | |a Rinschen, Markus M. |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Huesgen, Pitter F. |0 P:(DE-Juel1)162356 |b 3 |e Corresponding author |
| 773 | _ | _ | |a 10.1021/acs.analchem.1c00310 |g p. acs.analchem.1c00310 |0 PERI:(DE-600)1483443-1 |n 13 |p 5596–5605 |t Analytical chemistry |v 93 |y 2021 |x 1520-6882 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/891164/files/acs.analchem.1c00310-1.pdf |y OpenAccess |
| 909 | C | O | |o oai:juser.fz-juelich.de:891164 |p openaire |p open_access |p driver |p VDB |p ec_fundedresources |p dnbdelivery |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 3 |6 P:(DE-Juel1)162356 |
| 913 | 0 | _ | |a DE-HGF |b Key Technologies |l Key Technologies for the Bioeconomy |1 G:(DE-HGF)POF3-580 |0 G:(DE-HGF)POF3-582 |3 G:(DE-HGF)POF3 |2 G:(DE-HGF)POF3-500 |4 G:(DE-HGF)POF |v Plant Science |x 0 |
| 913 | 1 | _ | |a DE-HGF |b Forschungsbereich Erde und Umwelt |l Erde im Wandel – Unsere Zukunft nachhaltig gestalten |1 G:(DE-HGF)POF4-210 |0 G:(DE-HGF)POF4-217 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-200 |4 G:(DE-HGF)POF |v Für eine nachhaltige Bio-Ökonomie – von Ressourcen zu Produkten |x 0 |
| 914 | 1 | _ | |y 2021 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |d 2021-01-29 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0160 |2 StatID |b Essential Science Indicators |d 2021-01-29 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0600 |2 StatID |b Ebsco Academic Search |d 2021-01-29 |
| 915 | _ | _ | |a Creative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND 4.0 |0 LIC:(DE-HGF)CCBYNCND4 |2 HGFVOC |
| 915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b ANAL CHEM : 2019 |d 2021-01-29 |
| 915 | _ | _ | |a IF >= 5 |0 StatID:(DE-HGF)9905 |2 StatID |b ANAL CHEM : 2019 |d 2021-01-29 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1030 |2 StatID |b Current Contents - Life Sciences |d 2021-01-29 |
| 915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0113 |2 StatID |b Science Citation Index Expanded |d 2021-01-29 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |d 2021-01-29 |
| 915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
| 915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b ASC |d 2021-01-29 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1150 |2 StatID |b Current Contents - Physical, Chemical and Earth Sciences |d 2021-01-29 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |d 2021-01-29 |
| 915 | _ | _ | |a Nationallizenz |0 StatID:(DE-HGF)0420 |2 StatID |d 2021-01-29 |w ger |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |d 2021-01-29 |
| 920 | _ | _ | |l yes |
| 920 | 1 | _ | |0 I:(DE-Juel1)ZEA-3-20090406 |k ZEA-3 |l Analytik |x 0 |
| 980 | _ | _ | |a journal |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | _ | _ | |a I:(DE-Juel1)ZEA-3-20090406 |
| 980 | 1 | _ | |a FullTexts |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|