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Dannaoui R, Hu R, Hu L, Tian ZQ, Svir I, Huang WH, Amatore C, Oleinick A. Vesicular neurotransmitters exocytosis monitored by amperometry: theoretical quantitative links between experimental current spikes shapes and intravesicular structures. Chem Sci 2024:d4sc04003a. [PMID: 39129778 PMCID: PMC11310864 DOI: 10.1039/d4sc04003a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2024] [Accepted: 07/30/2024] [Indexed: 08/13/2024] Open
Abstract
Single cell amperometry has proven to be a powerful and well-established method for characterizing single vesicular exocytotic events elicited at the level of excitable cells under various experimental conditions. Nevertheless, most of the reported characteristics are descriptive, being mostly concerned with the morphological characteristics of the recorded current spikes (maximum current intensities, released charge, rise and fall times, etc.) which are certainly important but do not provide sufficient kinetic information on exocytotic mechanisms due to lack of quantitative models. Here, continuing our previous efforts to provide rigorous models rationalizing the kinetic structures of frequently encountered spike types (spikes with unique exponential decay tails and kiss-and-run events), we describe a new theoretical approach enabling a quantitative kinetic modeling of all types of exocytotic events giving rise to current spikes exhibiting exponential decay tails. This model follows directly from the fact that the condensation of long intravesicular polyelectrolytic strands by high concentrations of monocationic neurotransmitter molecules leads to a matrix structure involving two compartments in constant kinetic exchanges during release. This kinetic model has been validated theoretically (direct and inverse problems) and its experimental interest established by the analysis of the amperometric spikes relative to chromaffin and PC12 cells previously published by some of us.
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Affiliation(s)
- Reina Dannaoui
- Département de Chimie, PASTEUR, Ecole Normale Supérieure, PSL Université, Sorbonne Université, CNRS 24 rue Lhomond Paris 75005 France
| | - Ren Hu
- State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Xiamen University Xiamen 361005 P.R. China
| | - Lihui Hu
- Département de Chimie, PASTEUR, Ecole Normale Supérieure, PSL Université, Sorbonne Université, CNRS 24 rue Lhomond Paris 75005 France
| | - Zhong-Qun Tian
- State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Xiamen University Xiamen 361005 P.R. China
| | - Irina Svir
- Département de Chimie, PASTEUR, Ecole Normale Supérieure, PSL Université, Sorbonne Université, CNRS 24 rue Lhomond Paris 75005 France
| | - Wei-Hua Huang
- College of Chemistry and Molecular Sciences, Wuhan University Wuhan 430072 P.R. China
| | - Christian Amatore
- Département de Chimie, PASTEUR, Ecole Normale Supérieure, PSL Université, Sorbonne Université, CNRS 24 rue Lhomond Paris 75005 France
- State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Xiamen University Xiamen 361005 P.R. China
| | - Alexander Oleinick
- Département de Chimie, PASTEUR, Ecole Normale Supérieure, PSL Université, Sorbonne Université, CNRS 24 rue Lhomond Paris 75005 France
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Lork AA, Rabasco S, Ernst C, du Toit A, Rizzoli SO, Phan NTN. Subcellular protein turnover in human neural progenitor cells revealed by correlative electron microscopy and nanoscale secondary ion mass spectrometry imaging. Chem Sci 2024; 15:3311-3322. [PMID: 38425528 PMCID: PMC10901485 DOI: 10.1039/d3sc05629e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Accepted: 01/13/2024] [Indexed: 03/02/2024] Open
Abstract
Protein turnover is a critical process for accurate cellular function, in which damaged proteins in the cells are gradually replaced with newly synthesized ones. Many previous studies on cellular protein turnover have used stable isotopic labelling by amino acids in cell culture (SILAC), followed by proteomic bulk analysis. However, this approach does not take into account the heterogeneity observed at the single-cell and subcellular levels. To address this, we investigated the protein turnover of neural progenitor cells at the subcellular resolution, using correlative TEM and NanoSIMS imaging, relying on a pulse-chase analysis of isotopically-labelled protein precusors. Cellular protein turnover was found significantly heterogenous across individual organelles, which indicates a possible relation between protein turnover and subcellular activity. In addition, different isotopically-labelled amino acids provided different turnover patterns, in spite of all being protein precursors, suggesting that they undergo distinct protein synthesis and metabolic pathways at the subcellular level.
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Affiliation(s)
- Alicia A Lork
- Department of Chemistry and Molecular Biology University of Gothenburg SE-412 96 Gothenburg Sweden
| | - Stefania Rabasco
- Department of Chemistry and Molecular Biology University of Gothenburg SE-412 96 Gothenburg Sweden
| | - Carl Ernst
- Human Genetics, McGill University H4H1R3 Montreal Canada
| | - André du Toit
- Department of Chemistry and Molecular Biology University of Gothenburg SE-412 96 Gothenburg Sweden
| | - Silvio O Rizzoli
- Department of Neuro- and Sensory Physiology, University Medical Center Göttingen, Center for Biostructural Imaging of Neurodegeneration Göttingen Germany
| | - Nhu T N Phan
- Department of Chemistry and Molecular Biology University of Gothenburg SE-412 96 Gothenburg Sweden
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Gu C, Philipsen MH, Ewing AG. Omega-3 and -6 Fatty Acids Alter the Membrane Lipid Composition and Vesicle Size to Regulate Exocytosis and Storage of Catecholamines. ACS Chem Neurosci 2024; 15:816-826. [PMID: 38344810 PMCID: PMC10884999 DOI: 10.1021/acschemneuro.3c00741] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 01/10/2024] [Accepted: 01/30/2024] [Indexed: 02/22/2024] Open
Abstract
The two essential fatty acids, alpha-linolenic acid and linoleic acid, and the higher unsaturated fatty acids synthesized from them are critical for the development and maintenance of normal brain functions. Deficiencies of these fatty acids have been shown to cause damage to the neuronal development, cognition, and locomotor function. We combined electrochemistry and imaging techniques to examine the effects of the two essential fatty acids on catecholamine release dynamics and the vesicle content as well as on the cell membrane phospholipid composition to understand how they impact exocytosis and by extension neurotransmission at the single-cell level. Incubation of either of the two fatty acids reduces the size of secretory vesicles and enables the incorporation of more double bonds into the cell membrane structure, resulting in higher membrane flexibility. This subsequently affects proteins regulating the dynamics of the exocytotic fusion pore and thereby affects exocytosis. Our data suggest a possible pathway whereby the two essential fatty acids affect the membrane structure to impact exocytosis and provide a potential treatment for diseases and impairments related to catecholamine signaling.
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Affiliation(s)
- Chaoyi Gu
- Department of Chemistry and Molecular
Biology, University of Gothenburg, 41390 Gothenburg, Sweden
| | - Mai H. Philipsen
- Department of Chemistry and Molecular
Biology, University of Gothenburg, 41390 Gothenburg, Sweden
| | - Andrew G. Ewing
- Department of Chemistry and Molecular
Biology, University of Gothenburg, 41390 Gothenburg, Sweden
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Rajbhandari P, Neelakantan TV, Hosny N, Stockwell BR. Spatial pharmacology using mass spectrometry imaging. Trends Pharmacol Sci 2024; 45:67-80. [PMID: 38103980 PMCID: PMC10842749 DOI: 10.1016/j.tips.2023.11.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Revised: 11/07/2023] [Accepted: 11/11/2023] [Indexed: 12/19/2023]
Abstract
The emerging and powerful field of spatial pharmacology can map the spatial distribution of drugs and their metabolites, as well as their effects on endogenous biomolecules including metabolites, lipids, proteins, peptides, and glycans, without the need for labeling. This is enabled by mass spectrometry imaging (MSI) that provides previously inaccessible information in diverse phases of drug discovery and development. We provide a perspective on how MSI technologies and computational tools can be implemented to reveal quantitative spatial drug pharmacokinetics and toxicology, tissue subtyping, and associated biomarkers. We also highlight the emerging potential of comprehensive spatial pharmacology through integration of multimodal MSI data with other spatial technologies. Finally, we describe how to overcome challenges including improving reproducibility and compound annotation to generate robust conclusions that will improve drug discovery and development processes.
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Affiliation(s)
- Presha Rajbhandari
- Department of Biological Sciences, Columbia University, New York, NY, USA
| | | | - Noreen Hosny
- Irving Institute for Cancer Dynamics, Columbia University, New York, NY, USA; Department of Molecular Biology, Princeton University, Princeton, NJ, USA
| | - Brent R Stockwell
- Department of Biological Sciences, Columbia University, New York, NY, USA; Department of Chemistry, Columbia University, New York, NY, USA; Irving Institute for Cancer Dynamics, Columbia University, New York, NY, USA; Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA; Department of Pathology and Cell Biology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA.
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Brunet MA, Gorman BL, Kraft ML. Depth Correction of 3D NanoSIMS Images Shows Intracellular Lipid and Cholesterol Distributions while Capturing the Effects of Differential Sputter Rate. ACS NANO 2022; 16:16221-16233. [PMID: 36218061 DOI: 10.1021/acsnano.2c05148] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Knowledge of the distributions of drugs, metabolites, and drug carriers within cells is a prerequisite for the development of effective disease treatments. Intracellular component distribution may be imaged with high sensitivity and spatial resolution by using a NanoSIMS in the depth profiling mode. Depth correction strategies that capture the effects of differential sputtering without requiring additional measurements could enable producing accurate 3D NanoSIMS depth profiling images of intracellular component distributions. Here we describe an approach for depth correcting 3D NanoSIMS depth profiling images of cells that accounts for differential sputter rates. Our approach uses the secondary ion and secondary electron depth profiling images to reconstruct the cell's morphology at every raster plane. These cell morphology reconstructions are used to adjust the z-positions and heights of the voxels in the component-specific 3D NanoSIMS images. We validated this strategy using AFM topography data and reconstructions created from depth profiling images acquired with focused ion beam-secondary electron microscopy. Good agreement was found for the shapes and relative heights of the reconstructed morphologies. Application of this depth correction strategy to 3D NanoSIMS depth profiling images of a metabolically labeled cell better resolved the transport vesicles, organelles, and organellar membranes containing 18O-cholesterol and 15N-sphingolipids. Accurate 3D NanoSIMS images of intracellular component distributions may now be produced without requiring correlated analyses with separate instruments or the assumption of a constant sputter rate. This will allow visualization of the subcellular distributions of lipids, metabolites, drugs, and nanoparticles in 3D, information pivotal to understanding and treating disease.
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Lork AA, Vo KLL, Phan NTN. Chemical Imaging and Analysis of Single Nerve Cells by Secondary Ion Mass Spectrometry Imaging and Cellular Electrochemistry. Front Synaptic Neurosci 2022; 14:854957. [PMID: 35651734 PMCID: PMC9149580 DOI: 10.3389/fnsyn.2022.854957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 03/14/2022] [Indexed: 11/13/2022] Open
Abstract
A nerve cell is a unit of neuronal communication in the nervous system and is a heterogeneous molecular structure, which is highly mediated to accommodate cellular functions. Understanding the complex regulatory mechanisms of neural communication at the single cell level requires analytical techniques with high sensitivity, specificity, and spatial resolution. Challenging technologies for chemical imaging and analysis of nerve cells will be described in this review. Secondary ion mass spectrometry (SIMS) allows for non-targeted and targeted molecular imaging of nerve cells and synapses at subcellular resolution. Cellular electrochemistry is well-suited for quantifying the amount of reactive chemicals released from living nerve cells. These techniques will also be discussed regarding multimodal imaging approaches that have recently been shown to be advantageous for the understanding of structural and functional relationships in the nervous system. This review aims to provide an insight into the strengths, limitations, and potentials of these technologies for synaptic and neuronal analyses.
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Affiliation(s)
| | | | - Nhu T. N. Phan
- Department of Chemistry and Molecular Biology, University of Gothenburg, Gothenburg, Sweden
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