Integrative analysis of physiological phenotype of plant cells byturgor measurement and metabolomics

Water status and metabolite content are considered as two key features in plant cell physiological phenotype. In order to profiling in situ living plant cell status, turgor pressure of cells located at different locations of tissues was probed with a cell pressure probe and then cell sap was sampled...

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Publicado: 2012
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Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_1816093X_v20_n4_p294_Gholipour
http://hdl.handle.net/20.500.12110/paper_1816093X_v20_n4_p294_Gholipour
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spelling paper:paper_1816093X_v20_n4_p294_Gholipour2023-06-08T16:29:14Z Integrative analysis of physiological phenotype of plant cells byturgor measurement and metabolomics MALDI Metabolite profiling NanoESI Tulip Cell pressure Cell sap Integrative analysis Kestose Key feature MALDI MALDI-mass spectrometry MALDI-TOF mass spectrometry Metabolite content Metabolite profiles Metabolite profiling Metabolomics Nano-ESI Plant cells Secondary metabolites Spectrometry technique Sucrose concentration Tulip Turgor pressure Water status Amino acids Biomolecules Carbohydrates Mass spectrometry Physiology Plant cell culture Plants (botany) Sugar (sucrose) Tissue Metabolites Water status and metabolite content are considered as two key features in plant cell physiological phenotype. In order to profiling in situ living plant cell status, turgor pressure of cells located at different locations of tissues was probed with a cell pressure probe and then cell sap was sampled and its metabolite profile was generated with using nanoESI and MALDI mass spectrometry. No purification or separation was included in workflow and picoliter cell sap samples were injected directly into a nanoESI-Orbitrap mass spectrometer and/or deposited on selected matrices from organic compounds and nanoparticles for MALDI-TOF mass spectrometry analysis. Both shotgun mass spectrometry techniques could be used for detecting and quantifying metabolites in single-cell samples. Different metabolites from neutral carbohydrates to amino acids and secondary metabolites could be detected. Quantity of two major metabolites, sucrose and kestose, was also measured in several cells and sucrose concentration was co-plotted with turgor data. 2012 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_1816093X_v20_n4_p294_Gholipour http://hdl.handle.net/20.500.12110/paper_1816093X_v20_n4_p294_Gholipour
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic MALDI
Metabolite profiling
NanoESI
Tulip
Cell pressure
Cell sap
Integrative analysis
Kestose
Key feature
MALDI
MALDI-mass spectrometry
MALDI-TOF mass spectrometry
Metabolite content
Metabolite profiles
Metabolite profiling
Metabolomics
Nano-ESI
Plant cells
Secondary metabolites
Spectrometry technique
Sucrose concentration
Tulip
Turgor pressure
Water status
Amino acids
Biomolecules
Carbohydrates
Mass spectrometry
Physiology
Plant cell culture
Plants (botany)
Sugar (sucrose)
Tissue
Metabolites
spellingShingle MALDI
Metabolite profiling
NanoESI
Tulip
Cell pressure
Cell sap
Integrative analysis
Kestose
Key feature
MALDI
MALDI-mass spectrometry
MALDI-TOF mass spectrometry
Metabolite content
Metabolite profiles
Metabolite profiling
Metabolomics
Nano-ESI
Plant cells
Secondary metabolites
Spectrometry technique
Sucrose concentration
Tulip
Turgor pressure
Water status
Amino acids
Biomolecules
Carbohydrates
Mass spectrometry
Physiology
Plant cell culture
Plants (botany)
Sugar (sucrose)
Tissue
Metabolites
Integrative analysis of physiological phenotype of plant cells byturgor measurement and metabolomics
topic_facet MALDI
Metabolite profiling
NanoESI
Tulip
Cell pressure
Cell sap
Integrative analysis
Kestose
Key feature
MALDI
MALDI-mass spectrometry
MALDI-TOF mass spectrometry
Metabolite content
Metabolite profiles
Metabolite profiling
Metabolomics
Nano-ESI
Plant cells
Secondary metabolites
Spectrometry technique
Sucrose concentration
Tulip
Turgor pressure
Water status
Amino acids
Biomolecules
Carbohydrates
Mass spectrometry
Physiology
Plant cell culture
Plants (botany)
Sugar (sucrose)
Tissue
Metabolites
description Water status and metabolite content are considered as two key features in plant cell physiological phenotype. In order to profiling in situ living plant cell status, turgor pressure of cells located at different locations of tissues was probed with a cell pressure probe and then cell sap was sampled and its metabolite profile was generated with using nanoESI and MALDI mass spectrometry. No purification or separation was included in workflow and picoliter cell sap samples were injected directly into a nanoESI-Orbitrap mass spectrometer and/or deposited on selected matrices from organic compounds and nanoparticles for MALDI-TOF mass spectrometry analysis. Both shotgun mass spectrometry techniques could be used for detecting and quantifying metabolites in single-cell samples. Different metabolites from neutral carbohydrates to amino acids and secondary metabolites could be detected. Quantity of two major metabolites, sucrose and kestose, was also measured in several cells and sucrose concentration was co-plotted with turgor data.
title Integrative analysis of physiological phenotype of plant cells byturgor measurement and metabolomics
title_short Integrative analysis of physiological phenotype of plant cells byturgor measurement and metabolomics
title_full Integrative analysis of physiological phenotype of plant cells byturgor measurement and metabolomics
title_fullStr Integrative analysis of physiological phenotype of plant cells byturgor measurement and metabolomics
title_full_unstemmed Integrative analysis of physiological phenotype of plant cells byturgor measurement and metabolomics
title_sort integrative analysis of physiological phenotype of plant cells byturgor measurement and metabolomics
publishDate 2012
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_1816093X_v20_n4_p294_Gholipour
http://hdl.handle.net/20.500.12110/paper_1816093X_v20_n4_p294_Gholipour
_version_ 1768545852669820928