Options for imaging cellular therapeutics in vivo: a multi-stakeholder perspective

Cell-based therapies have been making great advances toward clinical reality. Despite the increase in trial activity, few therapies have successfully navigated late-phase clinical trials and received market authorization. One possible explanation for this is that additional tools and technologies to enable their development have only recently become available. To support the safety evaluation of cell therapies, the Health and Environmental Sciences Institute Cell Therapy—Tracking, Circulation and Safety Committee, a multisector collaborative committee, polled the attendees of the 2017 International Society for Cell & Gene Therapy conference in London, UK, to understand the gaps and needs that cell therapy developers have encountered regarding safety evaluations in vivo. The goal of the survey was to collect information to inform stakeholders of areas of interest that can help ensure the safe use of cellular therapeutics in the clinic. This review is a response to the cellular imaging interests of those respondents. The authors offer a brief overview of available technologies and then highlight the areas of interest from the survey by describing how imaging technologies can meet those needs. The areas of interest include imaging of cells over time, sensitivity of imaging modalities, ability to quantify cells, imaging cellular survival and differentiation and safety concerns around adding imaging agents to cellular therapy protocols. The Health and Environmental Sciences Institute Cell Therapy—Tracking, Circulation and Safety Committee believes that the ability to understand therapeutic cell fate is vital for determining and understanding cell therapy efficacy and safety and offers this review to aid in those needs. An aim of this article is to share the available imaging technologies with the cell therapy community to demonstrate how these technologies can accomplish unmet needs throughout the translational process and strengthen the understanding of cellular therapeutics.     

Design and analysis of a long-term live-cell imaging chamber for tracking cellular dynamics within cultured human islets of Langerhans

A means of expanding islet cell mass is urgently needed to supplement the limited availability of donor islets of Langerhans for transplant. Live cell imaging of human islets in culture has the potential to identify the specific cells and processes involved in islet expansion. A novel imaging chamber was developed to facilitate long-term three-dimensional imaging of human islets during transformation. Islets have been induced to transform into duct-like epithelial cystic structures and revert back to glucose responsive endocrine cells under appropriate conditions (Jamal et al. Cell Death Differ. 2005 12:702-712). Here we aim to further our understanding by characterizing the process at a single cell level over time-essentially constructing a high resolution recorded history of each cell and its progeny during transformation and reversion. The imaging chamber enables high resolution imaging of three-dimensional islets while maintaining the structure of the islet cells and intercellular matrix components. A mathematical model was developed to validate the imaging chamber design by determining the required chamber dimensions to avoid introduction of oxygen and nutrient transport limitations. Human islets were embedded in collagen in the imaging chamber and differential interference contrast time course images were obtained at 3 min intervals. Immunofluorescent imaging confirmed that islet phenotype was maintained for at least 5 days during imaging. Analysis of the time courses confirms our ability to identify and track individual cells over time and to observe cell death and phenotype transformation in isolated human islets.     

Quantifying and visualising the nuances of cellular dynamics in vivo using intravital imaging

Intravital imaging is a powerful technology used to quantify and track dynamic changes in live cells and tissues within an intact environment. The ability to watch cell biology in real-time ‘as it happens’ has provided novel insight into tissue homeostasis, as well as disease initiation, progression and response to treatment. In this minireview, we highlight recent advances in the field of intravital microscopy, touching upon advances in awake versus anaesthesia-based approaches, as well as the integration of biosensors into intravital imaging. We also discuss current challenges that, in our opinion, need to be overcome to further advance the field of intravital imaging at the single-cell, subcellular and molecular resolution to reveal nuances of cell behaviour that can be targeted in complex disease settings.     

Transgenic fruit-flies expressing a FRET-based sensor for in vivo imaging of cAMP dynamics

3'-5'-cyclic adenosine monophosphate (cAMP) is a ubiquitous intracellular second messenger that mediates the action of various hormones and neurotransmitters and influences a plethora of cellular functions. In particular, multiple neuronal processes such as synaptic plasticity underlying learning and memory are dependent on cAMP signalling cascades. It is now well recognized that the specificity and fidelity of cAMP downstream effects are achieved through a tight temporal as well as spatial control of the cAMP signals. Approaches relying on real-time imaging and Fluorescence Resonance Energy Transfer (FRET)-based biosensors for direct visualization of cAMP changes as they happen in intact living cells have recently started to uncover the fine details of cAMP spatio-temporal signalling patterns. Here we report the generation of transgenic fruit-flies expressing a FRET-based, GFP-PKA sensor and their use in real-time optical recordings of cAMP signalling both ex vivo and in vivo in adult and developing organisms. These transgenic animals represent a novel tool for understanding the physiology of the cAMP signalling pathway in the context of a functioning body.     

The movement of single cells within solid tissue masses

Individual heart and liver cells isolated from chick embryos labelled in ovo with ³H-thymidine were seeded, in culture, onto the surfaces of unlabelled, embryonic heart and liver tissue masses (both tissue fragments and cellular reaggregates). Single, labelled cells, as observed in autoradiographs, infiltrated the interiors of the tissue masses in most cases. These results might be unexpected in light of previous experiments and current notions of ‘contact inhibition of cell movement’.     

Considerations for the use of cellular electrophysiology models within cardiac tissue simulations

The use of mathematical models to study cardiac electrophysiology has a long history, and numerous cellular scale models are now available, covering a range of species and cell types. Their use to study emergent properties in tissue is also widespread, typically using the monodomain or bidomain equations coupled to one or more cell models. Despite the relative maturity of this field, little has been written looking in detail at the interface between the cellular and tissue-level models. Mathematically this is relatively straightforward and well-defined. There are however many details and potential inconsistencies that need to be addressed, in order to ensure correct operation of a cellular model within a tissue simulation. This paper will describe these issues and how to address them.Simply having models available in a common format such as CellML is still of limited utility, with significant manual effort being required to integrate these models within a tissue simulation. We will thus also discuss the facilities available for automating this in a consistent fashion within Chaste, our robust and high-performance cardiac electrophysiology simulator.It will be seen that a common theme arising is the need to go beyond a representation of the model mathematics in a standard language, to include additional semantic information required in determining the model’s interface, and hence to enhance interoperability. Such information can be added as metadata, but agreement is needed on the terms to use, including development of appropriate ontologies, if reliable automated use of CellML models is to become common.     

Optimal compensation for temporal uncertainty in movement planning

Motor control requires the generation of a precise temporal sequence of control signals sent to the skeletal musculature. We describe an experiment that, for good performance, requires human subjects to plan movements taking into account uncertainty in their movement duration and the increase in that uncertainty with increasing movement duration. We do this by rewarding movements performed within a specified time window, and penalizing slower movements in some conditions and faster movements in others. Our results indicate that subjects compensated for their natural duration-dependent temporal uncertainty as well as an overall increase in temporal uncertainty that was imposed experimentally. Their compensation for temporal uncertainty, both the natural duration-dependent and imposed overall components, was nearly optimal in the sense of maximizing expected gain in the task. The motor system is able to model its temporal uncertainty and compensate for that uncertainty so as to optimize the consequences of movement.     

Imaging cellular network dynamics in three dimensions using fast 3D laser scanning

Spatiotemporal activity patterns in three-dimensionally organized cellular networks are fundamental to the function of the nervous system. Despite advances in functional imaging of cell populations, a method to resolve local network activity in three dimensions has been lacking. Here we introduce a three-dimensional (3D) line-scan technology for two-photon microscopy that permits fast fluorescence measurements from several hundred cells distributed in 3D space. We combined sinusoidal vibration of the microscope objective at 10 Hz with 'smart' movements of galvanometric x-y scanners to repeatedly scan the laser focus along a closed 3D trajectory. More than 90% of cell somata were sampled by the scan line within volumes of 250 microm side length. Using bulk-loading of calcium indicator, we applied this method to reveal spatiotemporal activity patterns in neuronal and astrocytic networks in the rat neocortex in vivo. Two-photon population imaging using 3D scanning opens the field for comprehensive studies of local network dynamics in intact tissue.     

Microfluidic chips for in vivo imaging of cellular responses to neural injury in Drosophila larvae

With powerful genetics and a translucent cuticle, the Drosophila larva is an ideal model system for live imaging studies of neuronal cell biology and function. Here, we present an easy-to-use approach for high resolution live imaging in Drosophila using microfluidic chips. Two different designs allow for non-invasive and chemical-free immobilization of 3(rd) instar larvae over short (up to 1 hour) and long (up to 10 hours) time periods. We utilized these 'larva chips' to characterize several sub-cellular responses to axotomy which occur over a range of time scales in intact, unanaesthetized animals. These include waves of calcium which are induced within seconds of axotomy, and the intracellular transport of vesicles whose rate and flux within axons changes dramatically within 3 hours of axotomy. Axonal transport halts throughout the entire distal stump, but increases in the proximal stump. These responses precede the degeneration of the distal stump and regenerative sprouting of the proximal stump, which is initiated after a 7 hour period of dormancy and is associated with a dramatic increase in F-actin dynamics. In addition to allowing for the study of axonal regeneration in vivo, the larva chips can be utilized for a wide variety of in vivo imaging applications in Drosophila.     

Imaging the impact of chemically inducible proteins on cellular dynamics in vivo

The analysis of dynamic events in the tumor microenvironment during cancer progression is limited by the complexity of current in vivo imaging models. This is coupled with an inability to rapidly modulate and visualize protein activity in real time and to understand the consequence of these perturbations in vivo. We developed an intravital imaging approach that allows the rapid induction and subsequent depletion of target protein levels within human cancer xenografts while assessing the impact on cell behavior and morphology in real time. A conditionally stabilized fluorescent E-cadherin chimera was expressed in metastatic breast cancer cells, and the impact of E-cadherin induction and depletion was visualized using real-time confocal microscopy in a xenograft avian embryo model. We demonstrate the assessment of protein localization, cell morphology and migration in cells undergoing epithelial-mesenchymal and mesenchymal-epithelial transitions in breast tumors. This technique allows for precise control over protein activity in vivo while permitting the temporal analysis of dynamic biophysical parameters.     

Prediction of a moving target's position in fast goal-directed action

 Subjects made fast goal-directed arm movements towards moving targets. In some cases, the perceived direction of target motion was manipulated by moving the background. By comparing the trajectories towards moving targets with those towards static targets, we determined the position towards which subjects were aiming at movement onset. We showed that this position was an extrapolation in the target’s perceived direction from its position at that moment using its perceived direction of motion. If subjects were to continue to extrapolate in the perceived direction of target motion from the position at which they perceive the target at each instant, the error would decrease during the movements. By analysing the differences between subjects’ arm movements towards targets moving in different (apparent) directions with a linear second-order model, we show that the reduction in the error that this predicts is not enough to explain how subjects compensate for their initial misjudgements. Received: 10 February 1995/Accepted in revised form: 30 May 1995     

An EMG-level muscle model for a fast arm movement to target

A model of human muscle action is presented for a maximally fast, large-amplitude forearm movement to target. the inputs to the model are approximately the biceps and triceps EMG envelopes over a single movement. The model's output gives the corresponding displacement angle of the forearm about a fixed elbow position as a function of time. The idea of the model is to conceive of both EMG input drives as successions of millisecond input pulses, with each pulse resulting in a muscle tension twitch. Every twitch is amplitude-scaled, parametrically-shaped, and duration-limited as a function of the muscle's contractile history thus far in the movement. The muscle tension at any time t is the sum of the residual tension levels of all twitches begun before t. The model was developed and tested with special reference to two subjects: one, according to the model dynamics, was a comparatively slow-twitch type, and the other modelled as a fast-twitch type. Good agreement was found between model output and subject response data whenever the subject's EMG's were synchronous. The model can be used to characterize each subject's responses by a suite of twitch characteristics. This will enable us to check the accepted but now suspect correlation between muscle biopsy-and performance-determined muscle twitch type.This study was supported by contract DAMD 17-80-C-0101 from the U.S. Army Medical Research and Development Command. The views, opinions and/or findings contained in this report are those of the authors and should not be construed as an official Department of the Army position, policy, or decision, unless so designated by other documentation     

Src/FAK-mediated regulation of E-cadherin as a mechanism for controlling collective cell movement: Insights from in vivo imaging

Recent advances in confocal and multi-photon microscopy, together with fluorescent probe development, have enabled cancer biology studies to go beyond the culture dish and interrogate cancer-associated processes in the complex in vivo environment. Regulation of the tumor suppressor protein E-cadherin plays an important role in cancer development and progression, and may contribute to the decision between ‘single cell’ and ‘collective invasion’ in vivo. Mounting evidence from in vitro and in vivo experiments places the two nonreceptor protein tyrosine kinases Src and Focal Adhesion Kinase at the heart of E-cadherin regulation and the crosstalk between integrins and cadherins. Here we discuss recent insights, attained using high-resolution fluorescent in vivo imaging, into the regulation of E-cadherin and collective invasion. We focus on the regulatory crosstalk between the Src/FAK signaling axis and E-cadherin in vivo.Key words: Src, FAK, E-cadherin, EMT, fluorescent in vivo imaging     

Probing immune infiltration dynamics in cancer by in vivo imaging

Cancer immunotherapies typically aim to stimulate the accumulation and activity of cytotoxic T-cells or pro-inflammatory antigen-presenting cells, reduce immunosuppressive myeloid cells or regulatory T-cells, or elicit some combination of effects thereof. Notwithstanding the encouraging results, immunotherapies such as PD-1/PD-L1-targeted immune checkpoint blockade act heterogeneously across individual patients. It remains challenging to predict and monitor individual responses, especially across multiple sites of metastasis or sites of potential toxicity. To address this need, in vivo imaging of both adaptive and innate immune cell populations has emerged as a tool to quantify spatial leukocyte accumulation in tumors non-invasively. Here we review recent progress in the translational development of probes for in vivo leukocyte imaging, focusing on complementary perspectives provided by imaging of T-cells, phagocytic macrophages, and their responses to therapy.     

Mitochondrial dynamics and mitophagy in Parkinson's disease: disordered cellular power plant becomes a big deal in a major movement disorder

Parkinson's disease (PD), the most common movement disorder, is characterized by age-dependent degeneration of dopaminergic neurons in the substantia nigra of the mid-brain. Non-motor symptoms of PD, however, precede the motor features caused by dysfunction of the dopaminergic system, suggesting that PD is a systemic disorder. Mitochondrial dysfunction has long been observed in PD patients and animal models, but the mechanistic link between mitochondrial dysfunction and PD pathogenesis is not well understood. Recent studies have revealed that genes associated with autosomal recessive forms of PD such as PINK1 and Parkin are directly involved in regulating mitochondrial morphology and maintenance, abnormality of which is also observed in the more common, sporadic forms of PD, although the autosomal recessive PDs lack Lewy-body pathology that is characteristic of sporadic PD. These latest findings suggest that at least some forms of PD can be characterized as a mitochondrial disorder. Whether mitochondrial dysfunction represents a unifying pathogenic mechanism of all PD cases remains a major unresolved question.