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

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.

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Publication Details

Journal
Frontiers in Chemistry
Published
2024-10-25
DOI
https://doi.org/10.3389/fchem.2024.1477492
Citations
1
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
0.23
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article

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

Daniela Barretto Barbosa Trivella, Gabriel Santos Arini, Alan César Pilon, Ricardo Silva et al.
1 citations
Frontiers in Chemistry
Metabolomics and Mass Spectrometry Studies
0.23
article

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

Daniela Barretto Barbosa Trivella, Gabriel Santos Arini, Alan César Pilon, Ricardo Silva, Danielle R. Pinho, Norberto Peporine Lopes, Luís Guilherme Pereira Feitosa, Paula Rezende‐Teixeira, Rafael de Felício, Letícia V. Costa‐Lotufo, Luiz Gabriel Mencucini, Henrique Tsuji
article en
1 citations

Abstract

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.

Frontiers in ChemistryVol. 12
Universidade de São Paulo (BR), Universidade Paulista (BR), Brazilian Center for Research in Energy and Materials (BR), Brazilian Biosciences National Laboratory (BR)
Openalex Percentile: Top 41%
Metabolomics and Mass Spectrometry Studies
0.23
DOIOpen Access PDFOpenAlex
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A complementary approach for detecting biological signals through a semi-automated feature selection tool — Daniela Barretto Barbosa Trivella, Gabriel Santos Arini, et al. · Frontiers in Chemistry (2024) | TGRS Research Map | TGRS