Enhanced detection sensitivity of neuronal activity patterns using CaMPARI1 vs. CaMPARI2

Development of novel indicators and molecular systems for calcium sensing through protein engineering

Intracellular calcium (Ca2+) is involved in a plethora of cell signalling processes and physiological functions. Increases in Ca2+ concentration are bona fide biomarkers of neuronal activity, reflecting the spike count, timing, frequency, and the intensity of synaptic input. The development of genetically encoded calcium indicators (GECIs) was a significant advancement in modern neuroscience that enabled real-time visualisation of neuronal activity at single-cell resolution. These indicators leverage the conformational changes induced by calcium-binding proteins, such as calmodulin (CaM) or troponin C (TnC). Harnessing protein engineering approaches such as directed evolution yielded new GECIs with enhanced sensitivity, kinetics, and brightness. Notably, the development of calcium-based integrators, such as scFLARE (single-chain fast light- and activity-regulated expression), convert transient raises in cytosolic Ca2+ into a transcriptional readout rather than an optical signal. This review summarises the latest efforts in protein engineering to develop new indicators and molecular systems to sense changes in Ca2+ concentrations.

Quantitative approaches for studying G protein-coupled receptor signalling and pharmacology

G protein-coupled receptor (GPCR) signalling pathways underlie numerous physiological processes, are implicated in many diseases and are major targets for therapeutics. There are more than 800 GPCRs, which together transduce a vast array of extracellular stimuli into a variety of intracellular signals via heterotrimeric G protein activation and multiple downstream effectors. A key challenge in cell biology research and the pharmaceutical industry is developing tools that enable the quantitative investigation of GPCR signalling pathways to gain mechanistic insights into the varied cellular functions and pharmacology of GPCRs. Recent progress in this area has been rapid and extensive. In this Review, we provide a critical overview of these new, state-of-the-art approaches to investigate GPCR signalling pathways. These include novel sensors, Förster or bioluminescence resonance energy transfer assays, libraries of tagged G proteins and transcriptional reporters. These approaches enable improved quantitative studies of different stages of GPCR signalling, including GPCR activation, G protein activation, second messenger (cAMP and Ca2+) signalling, β-arrestin recruitment and the internalisation and intracellular trafficking of GPCRs.

Molecular Spies in Action: Genetically Encoded Fluorescent Biosensors Light up Cellular Signals

Cellular function is controlled through intricate networks of signals, which lead to the myriad pathways governing cell fate. Fluorescent biosensors have enabled the study of these signaling pathways in living systems across temporal and spatial scales. Over the years there has been an explosion in the number of fluorescent biosensors, as they have become available for numerous targets, utilized across spectral space, and suited for various imaging techniques. To guide users through this extensive biosensor landscape, we discuss critical aspects of fluorescent proteins for consideration in biosensor development, smart tagging strategies, and the historical and recent biosensors of various types, grouped by target, and with a focus on the design and recent applications of these sensors in living systems.

Systemic exposure to COVID-19 virus-like particles modulates firing patterns of cortical neurons in the living mouse brain

Severe Acute Respiratory Syndrome Corona Virus 2 (SARS-CoV-2) causes a systemic infection that affects the central nervous system. We used virus-like particles (VLPs) to explore how exposure to the SARS-CoV-2 proteins affects brain activity patterns in wild-type (WT) mice and in mice that express the wild-type human tau protein (htau mice). VLP exposure elicited dose-dependent changes in corticosterone and distinct chemokine levels. Longitudinal two-photon microscopy recordings of primary somatosensory and motor cortex neurons that express the jGCaMP7s calcium sensor tracked modifications of neuronal activity patterns following exposure to VLPs. There was a substantial short-term increase in stimulus-evoked activity metrics in both WT and htau VLP-injected mice, while htau mice showed also increased spontaneous activity metrics and increase activity in the vehicle-injected group. Over the following weeks, activity metrics in WT mice subsided, but remained above baseline levels. For htau mice, activity metrics either remain elevated or decreased to lower levels than baseline. Overall, our data suggest that exposure to the SARS-CoV-2 VLPs leads to strong short-term disruption of cortical activity patterns in mice with long-term residual effects. The htau mice, which have a more vulnerable genetic background, exhibited more severe pathobiology that may lead to more adverse outcomes.

Exploring the memory: existing activity-dependent tools to tag and manipulate engram cells

The theory of engrams, proposed several years ago, is highly crucial to understanding the progress of memory. Although it significantly contributes to identifying new treatments for cognitive disorders, it is limited by a lack of technology. Several scientists have attempted to validate this theory but failed. With the increasing availability of activity-dependent tools, several researchers have found traces of engram cells. Activity-dependent tools are based on the mechanisms underlying neuronal activity and use a combination of emerging molecular biological and genetic technology. Scientists have used these tools to tag and manipulate engram neurons and identified numerous internal connections between engram neurons and memory. In this review, we provide the background, principles, and selected examples of applications of existing activity-dependent tools. Using a combination of traditional definitions and concepts of engram cells, we discuss the applications and limitations of these tools and propose certain developmental directions to further explore the functions of engram cells.

Large-scale recording of neuronal activity in freely-moving mice at cellular resolution

Current methods for recording large-scale neuronal activity from behaving mice at single-cell resolution require either fixing the mouse head under a microscope or attachment of a recording device to the animal's skull. Both of these options significantly affect the animal behavior and hence also the recorded brain activity patterns. Here, we introduce a different method to acquire snapshots of single-cell cortical activity maps from freely-moving mice using a calcium sensor called CaMPARI. CaMPARI has a unique property of irreversibly changing its color from green to red inside active neurons when illuminated with 400 nm light. We capitalize on this property to demonstrate cortex-wide activity recording without any head fixation, tethering, or attachment of a miniaturized device to the mouse's head. Multiple cortical regions were recorded while the mouse was performing a battery of behavioral and cognitive tests. We identified task-dependent activity patterns across motor and somatosensory cortices, with significant differences across sub-regions of the motor cortex and correlations across several activity patterns and task parameters. This CaMPARI-based recording method expands the capabilities of recording neuronal activity from freely-moving and behaving mice under minimally-restrictive experimental conditions and provides large-scale volumetric data that are currently not accessible otherwise.