Optimized biochemical method for human Polyphosphate quantification

We thank Miguel Ángel Rodríguez from the Metabolomics facility of the Centre for Omic Sciences (COS) Joint Unit (Universitat Rovira i Virgili-Eurecat) for helping with the NMR analysis. David Sánchez and Sebastian Zagmut (Universitat Internacional de Catalunya UIC) for providing the rat brain sample...

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Autores: Lázaro, Blanca, Sarrias, Ana, Tadeo, Francisco J., Martínez-Láinez, Joan Marc, Fernández, Ainhoa, Quandt, Eva, Depares, Blanca, Dürr-Mayer, Tobias, Jessen, Henning, Jiménez, Javier, Clotet, Josep, Bru, Samuel
Tipo de recurso: artículo
Fecha de publicación:2025
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:20.500.12328/4754
Acceso en línea:http://hdl.handle.net/20.500.12328/4754
https://dx.doi.org/10.1016/j.ymeth.2025.01.001
Access Level:acceso abierto
Palabra clave:Polifosfat
RMN
Cèl·lules humanes
Patró d'or
Polifosfato
Células humanas
Estándar de oro
Polyphosphate
NMR
Human-cells
Gold-standard
6
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oai_identifier_str oai:recercat.cat:20.500.12328/4754
network_acronym_str ES
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repository_id_str
spelling Optimized biochemical method for human Polyphosphate quantificationLázaro, BlancaSarrias, AnaTadeo, Francisco J.Martínez-Láinez, Joan MarcFernández, AinhoaQuandt, EvaDepares, BlancaDürr-Mayer, TobiasJessen, HenningJiménez, JavierClotet, JosepBru, SamuelPolifosfatRMNCèl·lules humanesPatró d'orPolifosfatoRMNCélulas humanasEstándar de oroPolyphosphateNMRHuman-cellsGold-standard6We thank Miguel Ángel Rodríguez from the Metabolomics facility of the Centre for Omic Sciences (COS) Joint Unit (Universitat Rovira i Virgili-Eurecat) for helping with the NMR analysis. David Sánchez and Sebastian Zagmut (Universitat Internacional de Catalunya UIC) for providing the rat brain samples. Nuria Masip, Marta Perez and Meritxell Martínez (UIC) for lab technical assistance This work was supported by and is part of the I + D + i grant ref. PID2021-127302NB-I00 (to J.C. and J.J.) by the Spanish Ministerio de Ciencia e Innovación (MCIN). HJJ was supported by the German Research Foundation (DFG) under Germany’s excellence strategy (CIBSS-EXC-2189-Project ID 390939984 to HJJ) and by the VW Foundation (Experiment!AZ92270).Polyphosphate (polyP), a biopolymer composed of phosphates, impacts a wide range of biological functions and pathological conditions in all organisms. However, polyP’s intricate physiology and structure in human cells have remained elusive, largely due to the lack of a reliable quantification method including its extraction. In this study, we assess critical points in the whole process: extraction, purification, and quantification polyP from human cell lines. We developed a highly efficient method that extracts between 3 and 100 times more polyP than previously achieved. Supported by Nuclear Magnetic Resonance (NMR), our approach confirms that mammalian polyP is primarily a linear unbranched polymer. We applied the optimized method to commonly used human cell lines, uncovering important variations of intracellular polyP that correlate with the expression levels of specific polyP converting enzymes. This study underscores the importance of employing several techniques for polyP characterization in parallel and provides a valuable and standardized tool for further exploration in this field.info:eu-repo/semantics/publishedVersionElsevier2025info:eu-repo/semantics/article11http://hdl.handle.net/20.500.12328/4754https://dx.doi.org/10.1016/j.ymeth.2025.01.001reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésMethods234© 2025 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:recercat.cat:20.500.12328/47542026-05-29T05:05:01Z
dc.title.none.fl_str_mv Optimized biochemical method for human Polyphosphate quantification
title Optimized biochemical method for human Polyphosphate quantification
spellingShingle Optimized biochemical method for human Polyphosphate quantification
Lázaro, Blanca
Polifosfat
RMN
Cèl·lules humanes
Patró d'or
Polifosfato
RMN
Células humanas
Estándar de oro
Polyphosphate
NMR
Human-cells
Gold-standard
6
title_short Optimized biochemical method for human Polyphosphate quantification
title_full Optimized biochemical method for human Polyphosphate quantification
title_fullStr Optimized biochemical method for human Polyphosphate quantification
title_full_unstemmed Optimized biochemical method for human Polyphosphate quantification
title_sort Optimized biochemical method for human Polyphosphate quantification
dc.creator.none.fl_str_mv Lázaro, Blanca
Sarrias, Ana
Tadeo, Francisco J.
Martínez-Láinez, Joan Marc
Fernández, Ainhoa
Quandt, Eva
Depares, Blanca
Dürr-Mayer, Tobias
Jessen, Henning
Jiménez, Javier
Clotet, Josep
Bru, Samuel
author Lázaro, Blanca
author_facet Lázaro, Blanca
Sarrias, Ana
Tadeo, Francisco J.
Martínez-Láinez, Joan Marc
Fernández, Ainhoa
Quandt, Eva
Depares, Blanca
Dürr-Mayer, Tobias
Jessen, Henning
Jiménez, Javier
Clotet, Josep
Bru, Samuel
author_role author
author2 Sarrias, Ana
Tadeo, Francisco J.
Martínez-Láinez, Joan Marc
Fernández, Ainhoa
Quandt, Eva
Depares, Blanca
Dürr-Mayer, Tobias
Jessen, Henning
Jiménez, Javier
Clotet, Josep
Bru, Samuel
author2_role author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Polifosfat
RMN
Cèl·lules humanes
Patró d'or
Polifosfato
RMN
Células humanas
Estándar de oro
Polyphosphate
NMR
Human-cells
Gold-standard
6
topic Polifosfat
RMN
Cèl·lules humanes
Patró d'or
Polifosfato
RMN
Células humanas
Estándar de oro
Polyphosphate
NMR
Human-cells
Gold-standard
6
description We thank Miguel Ángel Rodríguez from the Metabolomics facility of the Centre for Omic Sciences (COS) Joint Unit (Universitat Rovira i Virgili-Eurecat) for helping with the NMR analysis. David Sánchez and Sebastian Zagmut (Universitat Internacional de Catalunya UIC) for providing the rat brain samples. Nuria Masip, Marta Perez and Meritxell Martínez (UIC) for lab technical assistance This work was supported by and is part of the I + D + i grant ref. PID2021-127302NB-I00 (to J.C. and J.J.) by the Spanish Ministerio de Ciencia e Innovación (MCIN). HJJ was supported by the German Research Foundation (DFG) under Germany’s excellence strategy (CIBSS-EXC-2189-Project ID 390939984 to HJJ) and by the VW Foundation (Experiment!AZ92270).
publishDate 2025
dc.date.none.fl_str_mv 2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12328/4754
https://dx.doi.org/10.1016/j.ymeth.2025.01.001
url http://hdl.handle.net/20.500.12328/4754
https://dx.doi.org/10.1016/j.ymeth.2025.01.001
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Methods
234
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 11
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869407144127758336
score 15.812429

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