Shotgun proteomics to characterize wastewater proteins.
Compartmentalized proteome
High-Resolution Mass Spectrometry (HRMS)
Proteomics
Sewage Chemical-Information Mining (SCIM)
Shotgun Proteomics to characterize wastewater proteins
Wastewater
Wastewater-Based Epidemiology (WBE)
Journal
MethodsX
ISSN: 2215-0161
Titre abrégé: MethodsX
Pays: Netherlands
ID NLM: 101639829
Informations de publication
Date de publication:
Dec 2023
Dec 2023
Historique:
received:
25
05
2023
accepted:
25
09
2023
medline:
19
10
2023
pubmed:
19
10
2023
entrez:
19
10
2023
Statut:
epublish
Résumé
Classically, the characterization of wastewater components has been restricted to the measurement of indirect parameters (chemical and biological oxygen demand, total nitrogen) and small molecules of interest in epidemiology or for environmental control. Despite the fact that metaproteomics has provided important knowledge about the microbial communities in these waters, practically nothing is known about other non-microbial proteins transported in the wastewater. The method described here has allowed us to perform a large-scale characterization of the wastewater proteome. Wastewater protein profiles have shown to be very different in different collection sites probably reflecting their human population and industrial activities. We believe that wastewater proteomics is opening the doors to the discovery of new environmental and health biomarkers and the development of new, more effective monitoring devices for issues like monitorization of population health, pest control, or control of industry discharges. The method developed is relatively simple and combines procedures for the separation of the soluble and particulate fractions of wastewater and their concentration, and conventional shotgun proteomics using high-resolution mass spectrometry for protein identification. •Unprecedented method for wastewater proteome characterization.•Proteins as new potential biomarkers for sewage chemical-information mining, wastewater epidemiology and environmental monitoring.•Wastewater protein profiles reflect human and industrial activities.
Identifiants
pubmed: 37854711
doi: 10.1016/j.mex.2023.102403
pii: S2215-0161(23)00399-0
pmc: PMC10579522
doi:
Types de publication
Journal Article
Langues
eng
Pagination
102403Informations de copyright
© 2023 The Authors. Published by Elsevier B.V.
Déclaration de conflit d'intérêts
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Références
Environ Sci Technol. 2023 Aug 1;57(30):10929-10939
pubmed: 37463250
J Proteomics. 2009 Aug 20;72(6):1031-9
pubmed: 19527804
Anal Chem. 2017 Apr 4;89(7):3840-3846
pubmed: 28260372
Sci Total Environ. 2018 Apr 1;619-620:748-764
pubmed: 29161600
ACS Omega. 2021 Nov 08;6(46):30865-30872
pubmed: 34841130
Front Microbiol. 2017 May 04;8:723
pubmed: 28522991
Curr Protoc Bioinformatics. 2017 Sep 13;59:13.31.1-13.31.12
pubmed: 28902400
Sci Total Environ. 2020 Dec 10;747:141145
pubmed: 32791406