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Candeo, A.

Publications and source records attributed to Candeo, A..

2 recordsLinked to original sources

ATP sensing in living plant cells reveals tissue gradients and stress dynamics of energy physiology

Growth and development of plants is ultimately driven by light energy captured through photosynthesis. ATP acts as universal cellular energy cofactor fuelling all life processes, including gene expression, metabolism, and transport. Despite a mechanistic understanding of ATP biochemistry, ATP dynamics in the living plant have been largely elusive. Here we establish live MgATP2- assessment in plants using the fluorescent protein biosensor ATeam1.03-nD/nA. We generate Arabidopsis sensor lines and investigate the sensor in vitro under conditions appropriate for the plant cytosol. We establish an assay for ATP fluxes in isolated mitochondria, and demonstrate that the sensor responds rapidly and reliably to MgATP2- changes in planta. A MgATP2- map of the Arabidopsis seedling highlights different MgATP2- concentrations between tissues and in individual cell types, such as root hairs. Progression of hypoxia reveals substantial plasticity of ATP homeostasis in seedlings, demonstrating that ATP dynamics can be monitored in the living plant.\n\nOne-sentence SummarySensing of MgATP2- by fluorimetry and microscopy allows dissection of ATP fluxes of isolated organelles, and dynamics of cytosolic MgATP2- in vivo.\n\nFunding AgenciesThis work was supported by the Deutsche Forschungsgemeinschaft (DFG) through the Emmy-Noether programme (SCHW1719/1-1; M.S. and GR4251/1-1; C.G.), the Research Training Group GRK 2064 (M.S.; A.J.M.), the Priority Program SPP1710 (A.J.M.) and a grant (SCHW1719/5-1; M.S.) as part of the package PAK918. The Seed Fund grant CoSens from the Bioeconomy Science Center, NRW (A.J.M.; M.S.) is gratefully acknowledged. The scientific activities of the Bioeconomy Science Center were financially supported by the Ministry of Innovation, Science and Research within the framework of the NRW Strategieprojekt BioSC (No. 313/323-400-002 13). A.Co. received funding by the Ministero dellIstruzione, dellUniversita e della Ricerca through the FIRB 2010 programme (RBFR10S1LJ_001) and Piano di Sviluppo di Ateneo 2015 (Universita degli Studi di Milano). M.Z. received funding by the Ministero dellIstruzione, dellUniversita e della Ricerca (Italy) through the PRIN 2010 programme (PRIN2010CSJX4F). S.W. and T.N. received travel support by the Deutscher Akademischer Austauschdienst (DAAD). V.D.C. was supported by the European Social Fund, Operational Programme 2007/2013, and an Erasmus+ Traineeship grant. M.D.F was supported by The Human Frontier Science Program (RPG0053/2012), and the Leverhulme Foundation (RPG-2015-437). I.M.M. was supported by a grant from the Danish Council for Independent Research - Natural Sciences. V.C.P. was supported by the Innovation and Technology Fund (Funding Support to Partner State Key Laboratories in Hong Kong) of the HKSAR.\n\nAbbreviationsAAC - ADP/ATP carrier; AK - adenylate kinase; cAT - carboxyatractyloside; CCCP - carbonyl cyanide m-chlorophenyl hydrazone; CFP - cyan fluorescent protein; CLSM - confocal laser scanning microscopy; ETC - electron transport chain; FRET - Forster Resonance Energy Transfer; LSFM - light sheet fluorescence microscopy.

plant biology

A computational toolbox and step-by-step tutorial for the analysis of neuronal population dynamics in calcium imaging data

The development of new imaging and optogenetics techniques to study the dynamics of large neuronal circuits is generating datasets of unprecedented volume and complexity, demanding the development of appropriate analysis tools. We present a tutorial for the use of a comprehensive computational toolbox for the analysis of neuronal population activity imaging. It consists of tools for image pre-processing and segmentation, estimation of significant single-neuron single-trial signals, mapping event-related neuronal responses, detection of activity-correlated neuronal clusters, exploration of population dynamics, and analysis of clusters features against surrogate control datasets. They are integrated in a modular and versatile processing pipeline, adaptable to different needs. The clustering module is capable of detecting flexible, dynamically activated neuronal assemblies, consistent with the distributed population coding of the brain. We demonstrate the suitability of the toolbox for a variety of calcium imaging datasets, and provide a case study to explain its implementation.

neuroscience