Celso Vitor A.Q. Calomeno , Hulyana Brum , Rodrigo S.C. Brant , Marlon D.M. Santos , Luis Miguel Muñoz-Gómez , Ana Gisele da Costa Neves-Ferreira , Richard Hemmi Valente , Michel Batista , Paulo C. Carvalho
{"title":"SequenceAssembler: A tool for protein sequence assembly from mass spectrometry data","authors":"Celso Vitor A.Q. Calomeno , Hulyana Brum , Rodrigo S.C. Brant , Marlon D.M. Santos , Luis Miguel Muñoz-Gómez , Ana Gisele da Costa Neves-Ferreira , Richard Hemmi Valente , Michel Batista , Paulo C. Carvalho","doi":"10.1016/j.jprot.2025.105542","DOIUrl":null,"url":null,"abstract":"<div><div>Accurate sequencing of complete proteoforms—that is, all molecular variants generated by post-translational modification or sequence change—is essential for advancing our understanding of biological systems, guiding biopharmaceutical development, and enabling new biotechnological applications. We present SequenceAssembler (SA), a user-friendly software post-identification tool designed to assemble full-length protein sequences by integrating both peptide-spectrum matching (PSM) and <em>de novo</em> sequencing data. SA is compatible with widely used proteomics tools, including Novor Cloud, PEAKS Studio, and PatternLab for Proteomics, from which it efficiently aggregates input data. Our software offers an accessible and intuitive interface, enhancing its usability. We demonstrated SA's effectiveness by analyzing bovine serum albumin and the monoclonal antibody trastuzumab, each subjected to multiple enzymatic digestions followed by high-resolution mass spectrometry. The results were consistent with those of established tools like Stitch, with performance varying depending on threshold parameters. Notably, SA distinguishes itself through its user-friendly graphical interface, one-click installation, and streamlined workflow, making it an attractive solution for a wide range of proteomics researchers. The software is freely available for academic use at <span><span>http://patternlabforproteomics.org/sa</span><svg><path></path></svg></span>.</div></div><div><h3>Significance</h3><div>SequenceAssembler fills a critical gap in proteomics by unifying peptide-spectrum matching and <em>de novo</em> sequencing into a single assembly platform, enabling reconstruction of full-length proteins. The intuitive graphical interface lowers barriers to adoption in core laboratories, minimizing manual steps and enhancing reproducibility. By streamlining sequence assembly workflows, SequenceAssembler empowers rapid protein sequencing to broad protein research applications.</div></div>","PeriodicalId":16891,"journal":{"name":"Journal of proteomics","volume":"322 ","pages":"Article 105542"},"PeriodicalIF":3.1000,"publicationDate":"2026-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of proteomics","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1874391925001691","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/10/8 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
Accurate sequencing of complete proteoforms—that is, all molecular variants generated by post-translational modification or sequence change—is essential for advancing our understanding of biological systems, guiding biopharmaceutical development, and enabling new biotechnological applications. We present SequenceAssembler (SA), a user-friendly software post-identification tool designed to assemble full-length protein sequences by integrating both peptide-spectrum matching (PSM) and de novo sequencing data. SA is compatible with widely used proteomics tools, including Novor Cloud, PEAKS Studio, and PatternLab for Proteomics, from which it efficiently aggregates input data. Our software offers an accessible and intuitive interface, enhancing its usability. We demonstrated SA's effectiveness by analyzing bovine serum albumin and the monoclonal antibody trastuzumab, each subjected to multiple enzymatic digestions followed by high-resolution mass spectrometry. The results were consistent with those of established tools like Stitch, with performance varying depending on threshold parameters. Notably, SA distinguishes itself through its user-friendly graphical interface, one-click installation, and streamlined workflow, making it an attractive solution for a wide range of proteomics researchers. The software is freely available for academic use at http://patternlabforproteomics.org/sa.
Significance
SequenceAssembler fills a critical gap in proteomics by unifying peptide-spectrum matching and de novo sequencing into a single assembly platform, enabling reconstruction of full-length proteins. The intuitive graphical interface lowers barriers to adoption in core laboratories, minimizing manual steps and enhancing reproducibility. By streamlining sequence assembly workflows, SequenceAssembler empowers rapid protein sequencing to broad protein research applications.
完整蛋白质形态的精确测序——即所有由翻译后修饰或序列变化产生的分子变异——对于提高我们对生物系统的理解、指导生物制药开发和实现新的生物技术应用至关重要。我们提出了SequenceAssembler (SA),一个用户友好的软件后鉴定工具,旨在通过整合肽谱匹配(PSM)和从头测序数据来组装全长蛋白质序列。SA与广泛使用的蛋白质组学工具兼容,包括Novor Cloud, PEAKS Studio和PatternLab for proteomics,它可以有效地聚合输入数据。我们的软件提供了一个易于访问和直观的界面,提高了它的可用性。我们通过分析牛血清白蛋白和单克隆抗体曲妥珠单抗证明了SA的有效性,每一个都经过多次酶解和高分辨率质谱分析。结果与Stitch等已建立的工具一致,其性能取决于阈值参数。值得注意的是,SA以其用户友好的图形界面、一键安装和简化的工作流程而脱颖而出,使其成为广泛的蛋白质组学研究人员的有吸引力的解决方案。该软件可免费用于学术用途,网址为http://patternlabforproteomics.org/sa。意义:SequenceAssembler通过将肽谱匹配和从头测序统一到一个组装平台,填补了蛋白质组学的关键空白,使全长蛋白质的重建成为可能。直观的图形界面降低了在核心实验室采用的障碍,最大限度地减少了手动步骤并提高了再现性。通过简化序列组装工作流程,SequenceAssembler使快速蛋白质测序具有广泛的蛋白质研究应用。
期刊介绍:
Journal of Proteomics is aimed at protein scientists and analytical chemists in the field of proteomics, biomarker discovery, protein analytics, plant proteomics, microbial and animal proteomics, human studies, tissue imaging by mass spectrometry, non-conventional and non-model organism proteomics, and protein bioinformatics. The journal welcomes papers in new and upcoming areas such as metabolomics, genomics, systems biology, toxicogenomics, pharmacoproteomics.
Journal of Proteomics unifies both fundamental scientists and clinicians, and includes translational research. Suggestions for reviews, webinars and thematic issues are welcome.