A complementary approach for detecting biological signals through a semi-automated feature selection tool.

IF 3.8 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY
Frontiers in Chemistry Pub Date : 2024-10-25 eCollection Date: 2024-01-01 DOI:10.3389/fchem.2024.1477492
Gabriel Santos Arini, Luiz Gabriel Souza Mencucini, Rafael de Felício, Luís Guilherme Pereira Feitosa, Paula Rezende-Teixeira, Henrique Marcel Yudi de Oliveira Tsuji, Alan Cesar Pilon, Danielle Rocha Pinho, Letícia Veras Costa Lotufo, Norberto Peporine Lopes, Daniela Barretto Barbosa Trivella, Ricardo Roberto da Silva
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引用次数: 0

Abstract

Introduction: Untargeted metabolomics is often used in studies that aim to trace the metabolic profile in a broad context, with the data-dependent acquisition (DDA) mode being the most commonly used method. However, this approach has the limitation that not all detected ions are fragmented in the data acquisition process, in addition to the lack of specificity regarding the process of fragmentation of biological signals. The present work aims to extend the detection of biological signals and contribute to overcoming the fragmentation limits of the DDA mode with a dynamic procedure that combines experimental and in silico approaches.

Methods: Metabolomic analysis was performed on three different species of actinomycetes using liquid chromatography coupled with mass spectrometry. The data obtained were preprocessed by the MZmine software and processed by the custom package RegFilter.

Results and discussion: RegFilter allowed the coverage of the entire chromatographic run and the selection of precursor ions for fragmentation that were previously missed in DDA mode. Most of the ions selected by the tool could be annotated through three levels of annotation, presenting biologically relevant candidates. In addition, the tool offers the possibility of creating local spectral libraries curated according to the user's interests. Thus, the adoption of a dynamic analysis flow using RegFilter allowed for detection optimization and curation of potential biological signals, previously absent in the DDA mode, being a good complementary approach to the current mode of data acquisition. In addition, this workflow enables the creation and search of in-house tailored custom libraries.

通过半自动特征选择工具检测生物信号的补充方法。
简介非靶向代谢组学通常用于旨在广泛追踪代谢轮廓的研究,其中数据依赖采集(DDA)模式是最常用的方法。然而,这种方法有一个局限性,即在数据采集过程中,并非所有检测到的离子都会被破碎,此外,生物信号的破碎过程也缺乏特异性。本研究的目的是扩大生物信号的检测范围,并通过结合实验和硅学方法的动态程序来克服 DDA 模式的碎片限制:方法:利用液相色谱-质谱联用技术对三种不同种类的放线菌进行了代谢组分析。获得的数据由 MZmine 软件进行预处理,并由定制软件包 RegFilter 进行处理:RegFilter 可以覆盖整个色谱运行过程,并选择之前在 DDA 模式下漏掉的前体离子进行碎片分析。该工具选择的大多数离子都可以通过三级注释进行注释,从而提出与生物相关的候选离子。此外,该工具还可根据用户的兴趣创建本地光谱库。因此,采用 RegFilter 的动态分析流程可以对潜在的生物信号进行检测优化和整理,这在之前的 DDA 模式中是不存在的,是对当前数据采集模式的良好补充。此外,这种工作流程还可以创建和搜索内部定制的自定义库。
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来源期刊
Frontiers in Chemistry
Frontiers in Chemistry Chemistry-General Chemistry
CiteScore
8.50
自引率
3.60%
发文量
1540
审稿时长
12 weeks
期刊介绍: Frontiers in Chemistry is a high visiblity and quality journal, publishing rigorously peer-reviewed research across the chemical sciences. Field Chief Editor Steve Suib at the University of Connecticut is supported by an outstanding Editorial Board of international researchers. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to academics, industry leaders and the public worldwide. Chemistry is a branch of science that is linked to all other main fields of research. The omnipresence of Chemistry is apparent in our everyday lives from the electronic devices that we all use to communicate, to foods we eat, to our health and well-being, to the different forms of energy that we use. While there are many subtopics and specialties of Chemistry, the fundamental link in all these areas is how atoms, ions, and molecules come together and come apart in what some have come to call the “dance of life”. All specialty sections of Frontiers in Chemistry are open-access with the goal of publishing outstanding research publications, review articles, commentaries, and ideas about various aspects of Chemistry. The past forms of publication often have specific subdisciplines, most commonly of analytical, inorganic, organic and physical chemistries, but these days those lines and boxes are quite blurry and the silos of those disciplines appear to be eroding. Chemistry is important to both fundamental and applied areas of research and manufacturing, and indeed the outlines of academic versus industrial research are also often artificial. Collaborative research across all specialty areas of Chemistry is highly encouraged and supported as we move forward. These are exciting times and the field of Chemistry is an important and significant contributor to our collective knowledge.
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