| Literature DB >> 35681542 |
Marco Brondi1,2, Matteo Bruzzone3,4, Claudia Lodovichi1,2,3,4, Marco Dal Maschio3,4.
Abstract
Investigating the neuronal dynamics supporting brain functions and understanding how the alterations in these mechanisms result in pathological conditions represents a fundamental challenge. Preclinical research on model organisms allows for a multiscale and multiparametric analysis in vivo of the neuronal mechanisms and holds the potential for better linking the symptoms of a neurological disorder to the underlying cellular and circuit alterations, eventually leading to the identification of therapeutic/rescue strategies. In recent years, brain research in model organisms has taken advantage, along with other techniques, of the development and continuous refinement of methods that use light and optical approaches to reconstruct the activity of brain circuits at the cellular and system levels, and to probe the impact of the different neuronal components in the observed dynamics. These tools, combining low-invasiveness of optical approaches with the power of genetic engineering, are currently revolutionizing the way, the scale and the perspective of investigating brain diseases. The aim of this review is to describe how brain functions can be investigated with optical approaches currently available and to illustrate how these techniques have been adopted to study pathological alterations of brain physiology.Entities:
Keywords: brain disorders; optogenetic methods; preclinical models
Mesh:
Year: 2022 PMID: 35681542 PMCID: PMC9180859 DOI: 10.3390/cells11111848
Source DB: PubMed Journal: Cells ISSN: 2073-4409 Impact factor: 7.666
Figure 1Fluorescence-based methods for in vivo imaging of neuronal physiology. (a) Genetically encoded fluorescent reporters of calcium (top), neurotransmitters (middle) and membrane potential (bottom) are designed to display variations in the fluorescence yield (green) as a consequence of the binding of the analyte to the reporter or changes in the electrical potential across cell’s membrane. (b) Generic scheme of scanning fluorescence microscope: excitation light (purple, infrared in the case of two-photon laser source) enters the sample through an optical access and is confined in a diffraction limited spot in the tissue expressing the genetically-encoded reporter (circles representing neuronal cells). The excitation beam is scanned across the tissue using a pair of galvanometric mirrors (or equivalent devices such as resonant scanners or acousto-optical deflectors) pointing sequentially the diffraction limited spot to fixed coordinates in a raster. Fluorescence from cells expressing the reporter (green) is collected as it irradiates outside the tissue, as the excitation beam stops at each position in the scanning sequence. An image is then reconstructed using a bucket detector (e.g., photomultiplier tube). This scheme applies to two-photon imaging of deep structures. (c) In the case of wide-field imaging, the excitation light homogeneously illuminates the tissue and the fluorescence is collected with a spatially-resolved sensor. (d) In fiber photometry approaches, fluorescence is excited in the proximity of a penetrating optical probe (fiber) inserted in the tissue. The excitation light exits the tip of the probe and the local fluorescence intensity is recorded through the same optical fiber without forming an image. (e) Miniscopes are miniaturized fluorescence microscopes designed to be implanted on the animal’s skull, allowing for recordings during unrestrained behavior. Excitation light is delivered inside the tissue through an optical fiber or an optical access to the dorsal brain surface. The fluorescence is collected by a spatially resolved sensor in order to form an image. All these methods are capable of recording data sequentially, allowing for a dynamic (i.e., extended in time) characterization of neuronal physiology.
Main properties of genetically encoded fluorescent reporters of endogenous biomolecules. Affinity (Kd), dissociation time constant (Koff), relative peak change in fluorescence over baseline signal (ΔF/F peak %), construct availability and relative reference (ref.) are reported for Calcium (green), Dopamine (red), Norepinephrine (orange), GABA (cyan), Serotonin (yellow), Glutamate (grey), Acetylcholine (purple), ATP (pink) and Adenosine (violet).
| Reporter | Analyte | Kd (nM) | Koff (ms) | ΔF/F0 Peak % | Available @ | Ref. | |
|---|---|---|---|---|---|---|---|
| GCaMP6s | Calcium | 147 | 1796 | 1680 | Addgene | [ | |
| GCaMP6f | Calcium | 375 | 400 | 1314 | Addgene | [ | |
| jGCaMP7s | Calcium | 68 | 1260 | Addgene | [ | ||
| jGCaMP7f | Calcium | 150 | 270 | 3100 | Addgene | [ | |
| jGCaMP8f | Calcium | 334 | 27 | 7880 | Addgene | Janelia | |
| jGCaMP8m | Calcium | 108 | 55 | 4570 | Addgene | Janelia | |
| jGCaMP8s | Calcium | 46 | 272 | 4950 | Addgene | Janelia | |
| dLight1.1 | dopamine | 330 | 230 | Addgene | [ | ||
| dLight1.2 | dopamine | 770 | 90 | 340 | Addgene | [ | |
| dLight1.3b | dopamine | 1680 | 930 | Addgene | [ | ||
| GRABDA1m | dopamine | 130 | 700 | 90 | Addgene | [ | |
| GRABDA2m | dopamine | 90 | 340 | Yu Long Li lab | [ | ||
| GRABDA1h | dopamine | 10 | 2500 | 90 | Addgene | [ | |
| GRABDA2h | dopamine | 7 | 280 | Yu Long Li lab | [ | ||
| GRABNE1h | norepinephrine | 83 | 2000 | 130 | Yu Long Li lab | [ | |
| GRABNE1m | norepinephrine | 930 | 750 | 250 | Yu Long Li lab | [ | |
| iGABASnFR | GABA | 9000 | Addgene | [ | |||
| GRAB5HT1.0 | serotonin | 22 | 3100 | 280 | Yu Long Li lab | [ | |
| iSeroSnFr | serotonin | 1500 | 250 | Tian lab | [ | ||
| iGluSnFR | glutamate | 4900 | 92 | 100 | Addgene | [ | |
| iGlu f | glutamate | 137,000 | 2.1 | Addgene | [ | ||
| iGlu u | glutamate | 600,000 | 700 | Addgene | [ | ||
| iACHSnFR | acetylcholine | 1300 | 1200 | Addgene | [ | ||
| GACh2.0 | acetylcholine | 2000 | 3700 | Yu Long Li lab | [ | ||
| GRABATP1.0 | ATP | 45 | 9 | 1000 | Yu Long Li lab | [ | |
| iATPSnFR1 | ATP | 50 | 190 | Addgene | [ |
Figure 2Optical methods to modulate neuronal activity. (a) Example of light-gated channels. Upon illumination, the channels open and allow the movement of ions across the membrane based on their selectivity. (b) In the simplest configuration, excitation light can be delivered by an optic fiber placed near the target area. (c) A more precise control of the illumination can be obtained relying on DMDs which create pattern of light based on the on–off configuration of the individual micromirror. (d) Spatial light modulators further stress the control of illumination patterns by extending it to the three dimensions.
Principal depolarizing and hyperpolarizing opsins. For each element, ion specificity, spectral peak and decay time (tau-off) are reported. The values have been obtained from the references.
| Opsins | Ions | Spectral Peak (nm) | Tau Off (ms) | References | ||
|---|---|---|---|---|---|---|
| Influx | Efflux | |||||
|
| ChR2 | Na+ | - | 470 | 10 | [ |
| CoChR | Na+ | - | 470 | 30 | [ | |
| Chronos | Na+ | - | 530 | 3.6 | [ | |
| ChroME | Na+ | - | 530 | 3 | [ | |
| ChroMEs | Na+ | - | 530 | 13 | [ | |
| ChroMEf | Na+ | - | 530 | 9.6 | [ | |
| ChRmine | Na+ | - | 585 | 2 | [ | |
| ChrimsonR | Na+ | - | 590 | 15.8 | [ | |
| f-Crimson | Na+ | - | 590 | 5.7 | [ | |
| vf-Crimson | Na+ | - | 590 | 2.7 | [ | |
|
| GtACR2 | Cl- | - | 480 | 40 | [ |
| GtACR1 | Cl- | - | 520 | 15 | [ | |
| Arch | - | H+ | 570 | 20 | [ | |
| eNpHr3.0 | Cl- | - | 590 | 40.5 | [ | |
| AIACR1 | Cl- | - | 590 | 90 | [ | |