Time-lapse Cell Imaging Research Articles

ESPressoscope: A small and powerful approach for in situ microscopy.

Microscopy is essential for detecting, identifying, analyzing, and measuring small objects. Access to modern microscopy equipment is crucial for scientific research, especially in the biomedical and analytical sciences. However, the high cost of equipment, limited availability of parts, and challenges associated with transporting equipment often limit the accessibility and operational capabilities of these tools, particularly in field sites and other remote or resource-limited settings. Thus, there is a need for affordable and accessible alternatives to traditional microscopy systems. We address this challenge by investigating the feasibility of using a simple microcontroller board not only as a portable and field-ready digital microscope, but furthermore as a versatile platform which can easily be adapted to a variety of imaging applications. By adding a few external components, we demonstrate that a low-cost ESP32 camera board can be used to build an autonomous in situ platform for digital time-lapse imaging of cells. Our prototype of this approach, which we call ESPressoscope, can be adapted to applications ranging from monitoring incubator cell cultures in the lab to observing ecological phenomena in the sea, and it can be adapted for other techniques such as microfluidics or spectrophotometry. Our prototype of the ESPressoscope concept achieves a low power consumption and small size, which makes it ideal for field research in environments and applications where microscopy was previously infeasible. Its Wi-Fi connectivity enables integration with external image processing and storage systems, including on cloud platforms when internet access is available. Finally, we present several web browser-based tools to help users operate and manage our prototype's software. Our findings demonstrate the potential for low-cost, portable microscopy solutions to enable new and more accessible experiments for biological and analytical applications.

Dynamics of Replication-Associated Protein Levels through the Cell Cycle.

The measurement of dynamic changes in protein level and localization throughout the cell cycle is of major relevance to studies of cellular processes tightly coordinated with the cycle, such as replication, transcription, DNA repair, and checkpoint control. Currently available methods include biochemical assays of cells in bulk following synchronization, which determine protein levels with poor temporal and no spatial resolution. Taking advantage of genetic engineering and live-cell microscopy, we performed time-lapse imaging of cells expressing fluorescently tagged proteins under the control of their endogenous regulatory elements in order to follow their levels throughout the cell cycle. We effectively discern between cell cycle phases and S subphases based on fluorescence intensity and distribution of co-expressed proliferating cell nuclear antigen (PCNA)-mCherry. This allowed us to precisely determine and compare the levels and distribution of multiple replication-associated factors, including Rap1-interacting factor 1 (RIF1), minichromosome maintenance complex component 6 (MCM6), origin recognition complex subunit 1 (ORC1, and Claspin, with high spatiotemporal resolution in HeLa Kyoto cells. Combining these data with available mass spectrometry-based measurements of protein concentrations reveals the changes in the concentration of these proteins throughout the cell cycle. Our approach provides a practical basis for a detailed interrogation of protein dynamics in the context of the cell cycle.

OpenSTED: open-source dynamic intensity minimum system for stimulated emission depletion microscopy.

Stimulated emission depletion (STED) is a powerful super-resolution microscopy technique that can be used for imaging live cells. However, the high STED laser powers can cause significant photobleaching and sample damage in sensitive biological samples. The dynamic intensity minimum (DyMIN) technique turns on the STED laser only in regions of the sample where there is fluorescence signal, thus saving significant sample photobleaching. The reduction in photobleaching allows higher resolution images to be obtained and longer time-lapse imaging of live samples. A stand-alone module to perform DyMIN is not available commercially. In this work, we developed an open-source design to implement three-step DyMIN on a STED microscope and demonstrated reduced photobleaching for timelapse imaging of beads, cells, and tissue. The DyMIN system uses a fast multiplexer circuit and inexpensive field-programmable gate array controlled by Labview software that operates as a stand-alone module for a STED microscope. All software and circuit diagrams are freely available. We compared time-lapse images of bead samples using our custom DyMIN system to conventional STED and recorded a higher signal when using DyMIN after a 50-image sequence. We further demonstrated the DyMIN system for time-lapse STED imaging of live cells and brain tissue slices. Our open-source DyMIN system is an inexpensive add-on to a conventional STED microscope that can reduce photobleaching. The system can significantly improve signal to noise for dynamic time-lapse STED imaging of live samples.

Abstract 77: Real-time multiparametric assessment of immune cell-mediated cytotoxicity

Abstract A hallmark of effective immunotherapy is the reliance on the cytotoxic effects of immune cells, such as T-cells and natural killer (NK) cells, on tumor lesions. Cell cluster formation is an important sign of activation, and proliferation, as well as an indication of the killing capability of immune cells. Understanding and modulating the mechanisms underlying the activation, proliferation, and clustering of immune cells is essential for the development of innovative approaches to promote immune cell-induced cytotoxicity and address tumor progression. Here, we report a novel kinetic immuno-oncology assay using the Agilent xCELLigence RTCA eSight, which can simultaneously and quantitatively assess effector/immune cell clustering and proliferation through brightfield live cell time-lapse imaging and immune cell-mediated cytotoxicity of target/cancer cells through real-time monitoring cancer cell viability over a chronic treatment. In this study, we validated the assay using 2 cell models, including CD19 CAR T-cells against Raji cells and NK-92 cells against A549 cells, in a 96-well plate format. The activation, clustering, and proliferation of CD19 CAR T-cells and NK-92 at different Effector: Target (E: T) ratios, as well as the sequential killing of the target cancer cells, were plotted using imaging and cellular-impedance-based readouts throughout the entire assay, respectively. Our results showed 1) the clustering and proliferation of the effector cells could be accurately assessed by brightfield without the facilitation of fluorescent label using the image analysis module of the system; 2) the killing efficacy of the effector cells quantified by the impedance readout highly correlated to their clustering and proliferation assessed by the live-cell imaging; 3) cellular impedance provided a sensitive readout CAR-T killing of immobilized Raji cell count, independent of fluorescent labeling; 4) the kinetics of cluster formation/proliferation and killing efficacy of CD19 CAR T-cells were different from NK cells. The capability of multiparametric assessment of immune cell-medicated cytotoxicity from both effector and target cell perspectives of the assay provides a simple and real-time workflow to understand the correlation and interaction between effector and target cells, which could be an addition of immense value to the development of innovative immunotherapies. Citation Format: Grace Yang, Yan Lu, Tian Wang, Peifang Ye, Xiaoyu Zhang. Real-time multiparametric assessment of immune cell-mediated cytotoxicity [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 77.

Abstract 4141: Quantitative measurement of 3D tumor spheroid invasion using live cell time-lapse imaging

Abstract 90% of the death of cancer individuals is related to cancer metastasis1. The invasion and migration of cancer cells into surrounding tissues and chambers is the first step of metastasis2. To have a better and more in-depth understanding of the pathophysiological activities involved in metastatic cancer, accurate and reliable methods for evaluating cell invasion are urgently needed. Compared to the 2D cell model, the 3D system mimics the natural physiological properties and conditions, such as structure, physiology, biological signals of living tissues, cell-matrix interactions4. In this study, we followed the commonly used protocol for 3D tumor invasion assay3 to generate spheroids in Ultra-Low-attachment (ULA) round bottom 96-well plate and subsequently embedded them in Matrigel® (5 mg/mL). After polymerization, the Matrigel that contains tumor spheroid was submerged in 100 μL cell culture media. The invasion of the 3D spheroid in the presence or absence of drug treatment was monitored and quantified using the brightfield and fluorescence live cell time-lapse image acquisition and image analysis functions of the Agilent xCELLigence RTCA eSight. The progress of spheroid invasion and the drug-inhibitory effects on tumor invasion were quantified by tracking and calculating the area of invasive protrusion from the spheroid. Our data show that 1) different types of cancer cells had different metastatic potentials demonstrated by the level of invadopodium extending into the Matrigel at desired time points; 2) the invasion of 3D HT1080 spheroid was inhibited by cytochalasin D (Cyto D), an inhibitor of actin polymerization, and GM6001, a potent broad-spectrum inhibitor of matrix metalloproteinases (MMP), in a dose-dependent manner; 3) Cyto D exhibited higher efficacy of inhibiting tumor invasion than GM6001. In summary, our approach by combining the 3D tumor spheroid invasion model with the RTCA eSight’s capability of live cell imaging and automatic quantification of the area of invasive protrusion can facilitate and enhance the development of new treatments at the preclinical stage in the future. Citation Format: Grace Yang, Tian Wang, Peifang Ye, Xiaoyu Zhang. Quantitative measurement of 3D tumor spheroid invasion using live cell time-lapse imaging [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 4141.

Deep Learning-Based Cell Tracking in Deforming Organs and Moving Animals.

Cell tracking is an essential step in extracting cellular signals from moving cells, which is vital for understanding the mechanisms underlying various biological functions and processes, particularly in organs such as the brain and heart. However, cellsin living organisms often exhibit extensive and complex movements caused by organ deformation and whole-body motion. These movementspose a challenge in obtaining high-quality time-lapse cell images and tracking the intricate cell movements in thecaptured images. Recent advances in deep learning techniques provide powerful tools for detecting cells in low-quality images with densely packed cell populations, as well as estimating cell positions for cells undergoing large nonrigid movements. This chapter introduces the challenges of cell tracking in deforming organs and moving animals, outlinesthe solutions to these challenges, and presents a detailed protocol for data preparation, as well as for performing cell segmentation and tracking using the latest version of 3DeeCellTracker. This protocol is expected to enable researchers to gain deeper insights into organ dynamics and biological processes.

Improvement of Intracellular Interactions through Liquid Crystalline Elastomer Scaffolds by the Alteration of Topology.

Preparation of inherently bioactive scaffolds has become a challenging issue owing to their complicated synthesis and nonrobust modified cell-actuating property. Liquid crystalline elastomers (LCEs), due to their combined specialties of liquid crystals and elastomers as well as their ability to respond to various kinds of stimuli, have reversibly led to the design of a new class of stimuli-responsive tissue-engineered scaffolds. In this line, in the first stage of this research work, synthesis and evaluation of acrylate-based LCE films (LCEfilm) encompassing mesogenic monomers are carried out. In the second step, the design of an affordable electrospinning technique for preparing LCE nanofibers (LCEfiber) as a problematic topic, thanks to the low molecular weight of the mesogenic chains of LCEs, is investigated. For this purpose, two approaches are considered, including (1) photo-cross-linking of electrospun LCEfiber and (2) blending LCE with poly(ε-caprolactone) (PCL) to produce morphologically stable nanofibers (PCL-LCEfiber). In the following, thermal, mechanical, and morphological evaluations show the optimized crosslinker (mol)/aliphatic spacer (mol) molar ratio of 50:50 for LCEfilm samples. On the other hand, for LCEfiber samples, the appropriate amounts of excessive mesogenic monomer and PCL/LCE (v/v) to fabricate the uniform nanofibers are determined to be 20% and 1:2, respectively. Eventually, PC12 cell compatibility and the impact of the liquid crystalline phase on the PC12 cell dynamic behavior of the samples are examined. The obtained results reveal that PC12 cells cultured on electrospun PCL-LCEfiber nanofibers with an average diameter of ∼659 nm per sample are alive and the scaffold has susceptibility for cell proliferation and actuation because of the rapid increase in cell density and number of singularity points formed in time-lapse cell imaging. Moreover, the PCL-LCEfiber nanofibrous scaffold exhibits a high performance for cell differentiation according to detailed biological evaluations such as gene expression level measurements. The time-lapse evaluation of PC12 cell flow fields confirms the significant influence of the reprogrammable liquid crystalline phase in the PCL-LCEfiber nanofibrous scaffold on topographical cue induction compared to the biodegradable PCL nanofibers.

Endocytosis and Endocytic Motifs across the Connexin Gene Family.

Proteins fated to be internalized by clathrin-mediated endocytosis require an endocytic motif, where AP-2 or another adaptor protein can bind and recruit clathrin. Tyrosine and di-leucine-based sorting signals are such canonical motifs. Connexin 43 (Cx43) has three canonical tyrosine-based endocytic motifs, two of which have been previously shown to recruit clathrin and mediate its endocytosis. In addition, di-leucine-based motifs have been characterized in the Cx32 C-terminal domain and shown to mediate its endocytosis. Here, we examined the amino acid sequences of all 21 human connexins to identify endocytic motifs across the connexin gene family. We find that although there is limited conservation of endocytic motifs between connexins, 14 of the 21 human connexins contain one or more canonical tyrosine or di-leucine-based endocytic motif in their C-terminal or intracellular loop domain. Three connexins contain non-canonical (modified) di-leucine motifs. However, four connexins (Cx25, Cx26, Cx31, and Cx40.1) do not harbor any recognizable endocytic motif. Interestingly, live cell time-lapse imaging of different GFP-tagged connexins that either contain or do not contain recognizable endocytic motifs readily undergo endocytosis, forming clearly identifiable annular gap junctions when expressed in HeLa cells. How connexins without defined endocytic motifs are endocytosed is currently not known. Our results demonstrate that an array of endocytic motifs exists in the connexin gene family. Further analysis will establish whether the sites we identified in this in silico analysis are legitimate endocytic motifs.

STrack: A Tool to Simply Track Bacterial Cells in Microscopy Time-Lapse Images.

Bacterial growth can be studied at the single cell level through time-lapse microscopy imaging. Technical advances in microscopy lead to increasing image quality, which in turn allows to visualize larger areas of growth, containing more and more cells. In this context, the use of automated computational tools becomes essential. In this paper, we present STrack, a tool that allows to track cells in time-lapse images in a fast and efficient way. We compared it to 3 recently published tracking tools on images ranging over 6 different bacterial strains with various morphologies. STrack showed to be the most consistent tracking tool, returning more than 80% of correct cell lineages on average, in comparison to manually annotated ground-truth. The python implementation of STrack, a docker structure, and a tutorial on how to download and use the tool can be found on the following github page: https://github.com/Helena-todd/STrack. IMPORTANCE Automated image analysis of growing prokaryotic cell populations becomes indispensable with larger data sets, such as derived by time-lapse microscopy. The tracking of the same individual cells and their daughter lineages is cumbersome and prone to errors in image alignment or poor resolution. Here, we present a simplified but highly effective tool for non-specialists to engage in cell tracking. The tool can be downloaded and run as a contained script-structure requiring minimal user input. Run times are fast, in comparison to other equivalent tools, and outputs consist of cell tables that can be subsequently used for lineage analysis, for which we offer examples. By providing open code, training data sets, as well as simplified script execution, we aimed to facilitate wide usage and further tool development for image analysis.

Microfluidic live tracking and transcriptomics of cancer-immune cell doublets link intercellular proximity and gene regulation

Cell–cell communication and physical interactions play a vital role in cancer initiation, homeostasis, progression, and immune response. Here, we report a system that combines live capture of different cell types, co-incubation, time-lapse imaging, and gene expression profiling of doublets using a microfluidic integrated fluidic circuit that enables measurement of physical distances between cells and the associated transcriptional profiles due to cell–cell interactions. We track the temporal variations in natural killer—triple-negative breast cancer cell distances and compare them with terminal cellular transcriptome profiles. The results show the time-bound activities of regulatory modules and allude to the existence of transcriptional memory. Our experimental and bioinformatic approaches serve as a proof of concept for interrogating live-cell interactions at doublet resolution. Together, our findings highlight the use of our approach across different cancers and cell types.

Multi-feature-Based Robust Cell Tracking.

Cell tracking algorithms have been used to extract cell counts and motility information from time-lapse images of migrating cells. However, these algorithms often fail when the collected images have cells with spatially and temporally varying features, such as morphology, position, and signal-to-noise ratio. Consequently, state-of-the-art algorithms are not robust or reliable because they require manual inputs to overcome the cell feature changes. To address these issues, we present a fully automated, adaptive, and robust feature-based cell tracking algorithm for the accurate detection and tracking of cells in time-lapse images. Our algorithm tackles measurement limitations twofold. First, we use Hessian filtering and adaptive thresholding to detect the cells in images, overcoming spatial feature variations among the existing cells without manually changing the input thresholds. Second, cell feature parameters are measured, including position, diameter, mean intensity, area, and orientation, and these parameters are simultaneously used to accurately track the cells between subsequent frames, even under poor temporal resolution. Our technique achieved a minimum of 92% detection and tracking accuracy, compared to 16% from Mosaic and Trackmate. Our improved method allows for extended tracking and characterization of heterogeneous cell behavior that are of particular interest for intravital imaging users.

Electrospun Membranes Designed for Burst Release of New Gold-Complexes Inducing Apoptosis of Melanoma Cells.

Two non-commercial metallic Au-based complexes were tested against one of the most aggressive malignant melanomas of the skin (MeWo cells), through cell viability and time-lapse live-cell imaging system assays. The tests with the complexes were carried out both in the form of free metallic complexes, directly in contact with the MeWo cell line culture, and embedded in fibers of Polycaprolactone (PCL) membranes produced by the electrospinning technique. Membranes functionalized with complexes were prepared to evaluate the efficiency of the membranes against the melanoma cells and therefore their feasibility in the application as an antitumoral patch for topical use. Both series of tests highlighted a very effective antitumoral activity, manifesting a very relevant cell viability inhibition after both 24 h and 48 h. In the case of the AuM1 complex at the concentration of 20 mM, melanoma cells completely died in this short period of time. A mortality of around 70% was detected from the tests performed using the membranes functionalized with AuM1 complex at a very low concentration (3 wt.%), even after 24 h of the contact period. The synthesized complexes also manifest high selectivity with respect to the MeWo cells. The peculiar structural and morphological organization of the nanofibers constituting the membranes allows for a very effective antitumoral activity in the first 3 h of treatment. Experimental points of the release profiles were perfectly fitted with theoretical curves, which easily allow interpretation of the kinetic phenomena occurring in the release of the synthesized complexes in the chosen medium.

Hierarchical deep reinforcement learning reveals novel mechanism of cell movement.

Time-lapse images of cells and tissues contain rich information of dynamic cell behaviors, which reflect the underlying processes of proliferation, differentiation and morphogenesis. However, we lack computational tools for effective inference. Here, we exploit Deep Reinforcement Learning (DRL) to infer cell-cell interactions and collective cell behaviors in tissue morphogenesis from 3D, time-lapse images. We used Hierarchical DRL (HDRL), known for multiscale learning and data efficiency, to examine cell migrations based on images with ubiquitous nuclear label and simple rules formulated from empirical statistics of the images. When applied to C. elegans embryogenesis, HDRL reveals a multi-phase, modular organization of cell movement. Imaging with additional cellular markers confirms the modular organization as a novel migration mechanism, which we term sequential rosettes. Furthermore, HDRL forms a transferable model that successfully differentiates sequential rosettes-based migration from others. Our study demonstrates a powerful approach to infer the underlying biology from time-lapse imaging without prior knowledge.

Cell Cycle Synchronization and Time-Lapse Imaging of Cytokinetic Tobacco BY-2 Cells.

Transgenic tobacco BY-2 cell lines stably expressing fluorescent protein-tagged marker proteins have been used to visualize the dynamic behaviors of cytoskeletons and organelles during plant cell division. Using time-lapse confocal imaging, we recently revealed that the pharmacological disruption of actin filaments results in the abnormal organization of phragmoplast microtubules during the early phase of cytokinesis in cell cycle-synchronized BY-2 cells. Additionally, disrupting the actin filaments shortens the time from cell plate emergence to the accumulation of green fluorescent protein-tagged NACK1 kinesin on the cell plate, suggesting that there are two functionally diverse types of microtubules in the phragmoplast. We herein describe a protocol for the cell cycle synchronization of BY-2 cells and the time-lapse confocal imaging of cytokinesis combined with a treatment with an actin polymerization inhibitor and the visualization of an emerging cell plate with a vital stain. This protocol is useful for examining the dynamic changes in protein localization or the intracellular architecture and the effects of actin disruption during plant cell division.

Ultrasonic control of neurite outgrowth direction

This study investigated a method to control neurite outgrowth direction using ultrasound vibration. An ultrasound cell culture dish comprising a glass-bottom culture surface and a glass disc with an ultrasound transducer was fabricated, and undifferentiated neuron-like PC12 cells were grown on the dish as an adherent culture. The 78 kHz resonant concentric flexural vibration mode of the dish was used to quantitatively evaluate the neurite outgrowth direction and length. Time-lapse imaging of cells was performed for 72 h under ultrasound excitation. Unsonicated neurites grew in random directions, whereas neurite outgrowth was circumferentially oriented during ultrasonication in a power-dependent manner. The neurite orientation correlated with the spatial gradient of the ultrasound vibration, implying that neurites tend to grow in directions along which the vibrational amplitude does not change. Ultrasonication with 30 Vpp for 72 h increased the neurite length by 99.7% compared with that observed in unsonicated cells.

Cell death-inducing activities via Hsp inhibition of the sesquiterpenes isolated from Valeriana fauriei.

Three new sesquiterpenes, valerianaterpenes I-III, and eight known compounds have been isolated from the methanol extract of the rhizomes and roots of Valeriana fauriei. The chemical structures of the three new sesquiterpenes were elucidated based on chemical and spectroscopic evidence. The absolute stereochemistry of valerianaterpene I was determined using X-ray crystallography. The cell death-inducing activity of isolated compounds alone or combination with Adriamycin (ADR) was observed by time-lapse cell imaging. Although the isolated compounds did not affect the number of mitotic entry cells and dead cells alone, kessyl glycol, kessyl glycol diacetate, and iso-teucladiol significantly increased the number of dead cells on ADR treated human cervical cancer cells. One of the mechanisms of cell death-inducing activity for the kessyl glycol acetate was suggested to be the inhibition of heat-shock protein 105 (Hsp105) expression level. This paper first deals with the naturally occurring compounds as Hsp105 inhibitor.

Dose-independent threshold illumination for non-invasive time-lapse fluorescence imaging of live cells

Fluorescent microscopy employs monochromatic light for excitation, which can adversely affect the cells being observed. We reported earlier that fibroblasts relax their contractile force in response to green light of typical intensity. Here we show that such effects are independent of extracellular matrix and cell lines. In addition, we establish a threshold intensity that elicits minimal or no adverse effect on cell contractility even for long-time exposure. This threshold intensity is wavelength dependent. We cultured fibroblasts on soft 2D elastic hydrogels embedded with fluorescent beads to trace substrate deformation and cell forces. The beads move toward cell center when cells contract, but they move away when cells relax. We use relaxation/contraction ratio (λr), in addition to traction force, as measures of cell response to red (wavelength, λ=635-650 nm), green (λ=545-580 nm) and blue (λ=455-490 nm) lights with varying intensities. Our results suggest that intensities below 57, 31 and 3.5 W/m2 for red, green and blue lights, respectively, do not perturb force homeostasis. To our knowledge, these intensities are the lowest reported safe thresholds, implying that cell traction is a highly sensitive readout of the effect of light on cells. Most importantly, we find these threshold intensities to be dose-independent; i.e., safe regardless of the energy dosage or time of exposure. Conversely, higher intensities result in widespread force-relaxation in cells with λr > 1. Furthermore, we present a photo-reaction based model that simulates photo-toxicity and predicts threshold intensity for different wavelengths within the visible spectra. In conclusion, we recommend employing illumination intensities below aforementioned wavelength-specific thresholds for time-lapse imaging of cells and tissues in order to avoid light-induced artifacts in experimental observations.

Isolation and Time-Lapse Imaging of Primary Mouse Embryonic Palatal Mesenchyme Cells to Analyze Collective Movement Attributes

Isolation and Time-Lapse Imaging of Primary Mouse Embryonic Palatal Mesenchyme Cells to Analyze Collective Movement Attributes

Isolation and Time-Lapse Imaging of Primary Mouse Embryonic Palatal Mesenchyme Cells to Analyze Collective Movement Attributes.

Development of the palate is a dynamic process, which involves vertical growth of bilateral palatal shelves next to the tongue followed by elevation and fusion above the tongue. Defects in this process lead to cleft palate, a common birth defect. Recent studies have shown that palatal shelf elevation involves a remodeling process that transforms the orientation of the shelf from a vertical to a horizontal one. The role of the palatal shelf mesenchymal cells in this dynamic remodeling has been difficult to study. Time-lapse-imaging-based quantitative analysis has been recently used to show that primary mouse embryonic palatal mesenchymal (MEPM) cells can self-organize into a collective movement. Quantitative analyses could identify differences in mutant MEPM cells from a mouse model with palate elevation defects. This paper describes methods to isolate and culture MEPM cells from E13.5 embryos-specifically for time-lapse imaging-and to determine various cellular attributes of collective movement, including measures for stream formation, shape alignment, and persistence of direction. It posits that MEPM cells can serve as a proxy model for studying the role of palatal shelf mesenchyme during the dynamic process of elevation. These quantitative methods will allow investigators in the craniofacial field to assess and compare collective movement attributes in control and mutant cells, which will augment the understanding of mesenchymal remodeling during palatal shelf elevation. Furthermore, MEPM cells provide a rare mesenchymal cell model for investigation of collective cell movement in general.

Ibrutinib Off-Target Inhibition Inhibits Antibody-Dependent Cellular Phagocytosis but Not Efferocytosis of CLL Cells

Background Combinations of different targeted therapies, including Bruton tyrosine kinase (BTK) inhibitors and anti-CD20 monoclonal antibodies (mAbs) could improve treatment for CLL. Unexpectedly, the combination of ibrutinib (IBR) with rituximab did not show additional clinical benefit. However, IBR inhibits many off-target molecules that may limit therapeutic mAb clinical effectiveness and a more selective BTK inhibitor, such as acalabrutinib (ACALA), could be more effective in combination with mAb therapy. Initial data from the ELEVATE TN trial support this possibility. IBR off-target effects on antibody-dependent cellular phagocytosis (ADCP), the major mechanism of therapeutic mAb activity could explain this difference. Additionally, IBR induces a higher and longer duration increase in circulating lymphocytes than ACALA. IBR off-target effects on efferocytosis, another phagocytic process involved in apoptotic cell removal, might explain this difference. Methods Using state-of-the-art direct kinetic measurements of phagocytosis by time-lapse video, (Chu et al. J Cell Sci 2020;133:jcs237883) we investigated the effects of IBR and ACALA on phagocytosis (ADCP or efferocytosis) by human monocyte-derived macrophages (hMDM) in vitro. Live cell time-lapse video of 10 μg/ml rituximab (Genentech) mediated ADCP of CLL cells by CellTracker Deep Red (CTDR, Thermofisher) labeled hMDM (20:1 CLL:hMDM cell ratio) either untreated or treated with IBR or ACALA (3-fold serial dilutions from 100 to 0.41 μM) was imaged in a stage-top environmental chamber (37°C and 5% CO2) mounted onto a Nikon Ti-Eclipse inverted microscope with an ELWD 20x/0.45NA S Plan Fluor Ph1 objective and an Andor Zyla 5.5 sCMOS camera. Images were captured sequentially every 4 min over 2.8 h. For each experiment (n = 18), duplicate or triplicate wells for each drug concentration were imaged. For efferocytosis, live cell time-lapse video imaging of phagocytosis of pHrodo iFL Red STP ester (pHrodo Red, Thermo Fisher Scientific) labeled apoptotic CLL cells by CTDR-labeled hMDM (20:1 CLL:hMDM cell ratio) either untreated or treated with IBR or ACALA (2-fold serial dilutions from 10 to 1.25 μM) was collected every 4 min over 2.8 h. For each experiment (n = 7), duplicate or triplicate wells for each drug concentration was imaged and analyzed. Finally, for efferocytosis, the intensity of pHrodo Red dye, a pH-sensitive dye that increases in intensity with acidic pH, as found in the endolysosomes, was measured in the pHrodo Red color channel and analyzed. Results IBR significantly inhibited ADCP at all measured drug concentrations (0.41 μM, p < 0.05; 1.2 μM, p < 0.01; 3.7 - 100 μM, p < 0.001). The mean peak free drug concentration (Cmax) achieved clinically by standard doses for IBR is ~0.5 μM. ACALA only significantly inhibited ADCP at the highest concentration (100 μM, p < 0.001). The Cmax achieved clinically by standard doses for ACALA is ~1.2 μM. ACALA did not inhibit efferocytosis or subsequent transition to endolysosomal compartment at all tested concentrations (p > 0.05). IBR did not inhibit efferocytosis (p > 0.05) and only inhibited transition to endolysosomal compartment at highest concentration tested (10 μM, p < 0.01) Conclusion Our study shows that BTK inhibition does not block ADCP and a more selective BTK inhibitor may prove effective in combination with therapeutic anti-CD20 mAbs. IBR off-target inhibition specifically blocks ADCP and not efferocytosis. Thus, IBR off-target inhibition of ADCP should be via proximal signaling by antibody Fc receptors and not subsequent downstream phagocytic mechanisms in common with efferocytosis. These results also imply the lack of BTK and IBR off-target molecules involvement in efferocytosis. Finally, the increased lymphocytosis seen with IBR compared to ACALA treatment in CLL cannot be explained by IBR off-target effects on efferocytosis. These findings provide a critical understanding of macrophage phagocytosis reduction by BTK inhibitor selectivity that will have important consequences for the development of combination targeted therapies with mAbs. Disclosures Chu: Acerta Pharma/AstraZeneca: Research Funding; Pfizer: Current equity holder in publicly-traded company, Divested equity in a private or publicly-traded company in the past 24 months; TG Therapeutics: Research Funding. Izumi:AstraZeneca: Current equity holder in publicly-traded company; Acerta Pharma: Current equity holder in private company, Ended employment in the past 24 months, Patents & Royalties: Acalabrutinib patents (no royalties). Munugalavadla:Gilead Sciences: Current equity holder in publicly-traded company; AstraZeneca: Current equity holder in publicly-traded company; Acerta Pharma: Current Employment. Barr:Gilead: Consultancy; Morphosys: Consultancy; TG therapeutics: Consultancy, Research Funding; Seattle Genetics: Consultancy; Celgene: Consultancy; AstraZeneca: Consultancy, Research Funding; Janssen: Consultancy; Merck: Consultancy; Genentech: Consultancy; Abbvie/Pharmacyclics: Consultancy, Research Funding; Verastem: Consultancy. VanDerMeid:Acerta Pharma / AstraZeneca: Research Funding. Elliott:Acerta Pharma / AstraZeneca: Research Funding. Zent:Mentrik Biotech: Research Funding; TG Therapeutics, Inc: Research Funding; Acerta / Astra Zeneca: Research Funding.