Subcellular Resolution Research Articles

Multimodal optical mesoscopy reveals the quantity and spatial distribution of Gram-positive biofilms in ex vivo tonsils.

Biofilms are known to be present in tonsils, but little is known about their spatial location and size distribution throughout the tonsil. Studies of the location and distribution of biofilms in tonsil specimens have thus far been limited to either high-magnification methods such as electron microscopy, which enables high-resolution imaging but only from a tiny tissue volume, or lower magnification techniques such as light microscopy, which allow imaging of larger specimens but with poor spatial resolution. To overcome these limitations, we report the use of multimodal optical mesoscopy to visualise and quantify the number and spatial distribution of Gram-positive biofilms in fresh, excised paediatric tonsils. This methodology supports simultaneous imaging of both the tonsil host and biofilms in whole mounts of tissue up to 5mm × 5mm × 3mm with subcellular resolution throughout. A quantitative assessment of 36 tonsil specimens revealed no statistically significant difference between biofilm presence on the tonsil surface and the interior of the tonsil. This new quantitative mesoscale imaging approach may prove useful in understanding the role of biofilms in tonsillar diseases and other infections.

Near-Infrared In Vivo Imaging of Claudin-1 Expression by Orthotopically Implanted Patient-Derived Colonic Adenoma Organoids

Background: Claudin-1 becomes overexpressed during the transformation of normal colonic mucosa to colorectal cancer (CRC). Methods: Patient-derived organoids expressed clinically relevant target levels and genetic heterogeneity, and were established from human adenoma and normal colons. Colonoids were implanted orthotopically in the colons of immunocompromised mice. This pre-clinical model of CRC provides an intact microenvironment and representative vasculature. Colonoid growth was monitored using white light endoscopy. A peptide specific for claudin-1 was fluorescently labeled for intravenous administration. NIR fluorescence images were collected using endoscopy and endomicroscopy. Results: NIR fluorescence images collected using wide-field endoscopy showed a significantly greater target-to-background (T/B) ratio for adenoma versus normal (1.89 ± 0.35 and 1.26 ± 0.06) colonoids at 1 h post-injection. These results were confirmed by optical sections collected using endomicroscopy. Optical sections were collected in vivo with sub-cellular resolution in vertical and horizontal planes. Greater claudin-1 expression by individual epithelial cells in adenomatous versus normal crypts was visualized. A human-specific cytokeratin stain ex vivo verified the presence of human tissues implanted adjacent to normal mouse colonic mucosa. Conclusions: Increased claudin-1 expression was observed from adenoma versus normal colonoids in vivo using imaging with wide field endoscopy and endomicrosopy.

Computationally designed sensors detect endogenous Ras activity and signaling effectors at subcellular resolution.

The utility of genetically encoded biosensors for sensing the activity of signaling proteins has been hampered by a lack of strategies for matching sensor sensitivity to the physiological concentration range of the target. Here we used computational protein design to generate intracellular sensors of Ras activity (LOCKR-based Sensor for Ras activity (Ras-LOCKR-S)) and proximity labelers of the Ras signaling environment (LOCKR-based, Ras activity-dependent Proximity Labeler (Ras-LOCKR-PL)). These tools allow the detection of endogenous Ras activity and labeling of the surrounding environment at subcellular resolution. Using these sensors in human cancer cell lines, we identified Ras-interacting proteins in oncogenic EML4-Alk granules and found that Src-Associated in Mitosis 68-kDa (SAM68) protein specifically enhances Ras activity in the granules. The ability to subcellularly localize endogenous Ras activity should deepen our understanding of Ras function in health and disease and may suggest potential therapeutic strategies.

A polarized cell system amenable to subcellular resolution imaging of influenza virus infection.

The life cycle of influenza A viruses (IAV), and notably intracellular trafficking of the viral genome, depends on multiple interactions with the cellular cytoskeleton and endomembrane system. A limitation of the conventional cellular models used for mechanistic study and subcellular imaging of IAV infection is that they are cultured in two dimensions (2D) under non-polarizing conditions, and therefore they do not recapitulate the intracellular organization of the polarized respiratory epithelial cells naturally targeted by IAVs. To overcome this limitation, we developed an IAV-infection assay in a 3D cell culture system which allows imaging along the baso-lateral axis of polarized cells, with subcellular resolution. Here we describe a protocol to grow polarized monolayers of Caco2-TC7 cells on static Cytodex-3 microcarrier beads, infect them with IAV, and subsequently perform immunostaining and confocal imaging, or electron microscopy, on polarized IAV-infected cells. This method can be extended to other pathogens that infect human polarized epithelial cells.

OP24 SPP1 in colitis-associated colon cancer

Abstract Background Patients with ulcerative colitis (UC) and Crohn’s disease (CD) face a lifelong risk of developing colitis-associated carcinoma (CAC). Current insights into CAC development originate from murine CAC models, while human CAC studies primarily focus on mutational analyses. Although the mutational landscape reveals distinct patterns and frequencies compared to colorectal cancer, it falls short in elucidating the inflammatory mechanisms of CAC development. Consequently, we adopted a multi-omics approach to unravel CAC carcinogenesis, utilizing human samples from patients with CD, CD-associated CAC (CD-CAC), UC, and UC-associated CAC (UC-CAC). Findings were further validated in vitro using human colon organoids. Methods A Nanostring Immunology v2 panel was employed on RNA (archival FFPE sections) from 40 patients suffering from either IBD or CAC, alongside inflammation-free healthy controls (n=10 per group). Our data revealed a robust upregulation of the SPP1 (Secreted Phosphoprotein 1) gene encoding osteopontin (OPN) in CAC patients. Prospectively, we extended our methodology to an unbiased imaging-based spatial RNA in situ sequencing (ISS) approach (477 genes, Xenium, 10X Genomics) using FFPE sections from CAC and UC patients (n=3 per group). This provided insights into the spatial expression of SPP1 and its target receptors at a subcellular resolution. Findings were validated using whole FFPE section confocal microscopy. In addition, in vitro models, including human UC organoids, were analyzed by bulk RNA-Seq, RT-qPCR, and downstream functional assays. Results Nanostring Immunology v2 gene expression data revealed upregulation of the SPP1 gene encoding OPN (Fig 1A) and EMT transcription factors FN1 and ZEB1 in CAC patients. Xenium RNA in situ sequencing (ISS) unveiled the spatial heterogeneity of SPP1 expression in CAC (Fig 1B). Unsupervised graph-based clustering identified an SPP1+CD68+ macrophage cluster exclusively in CAC (Fig 1C), validated through OPN/CD68 immunostainings (Fig 1D). In vitro OPN stimulation across multiple human and mice colon organoid models excluded OPN as the trigger of EMT. Interestingly, Xenium ISS and immunostainings revealed a mutually exclusive spatial location of SPP1/OPN+ macrophages and CD8+ T cells (Fig 1E, F and G). Conclusion SPP1 is significantly upregulated in CAC (RNA and protein), expressed by CD68+ macrophages. In vitro OPN stimulation demonstrated no direct effect on intestinal epithelial organoids. The mutually exclusive spatial locations of SPP1/OPN+ macrophages and CD8+ T cells suggests a crucial role of SPP1/OPN in modulating the immunosurveillance of CAC cells by CD8+ tumour lymphocytes.

Discrimination of lipid composition and cellular localization in human liver tissues by stimulated Raman scattering microscopy.

The molecular mechanisms driving the progression from nonalcoholic fatty liver (NAFL) to fibrosing steatohepatitis (NASH) are insufficiently understood. Techniques enabling the characterization of different lipid species with both chemical and spatial information can provide valuable insights into their contributions to the disease progression. We extend the utility of stimulated Raman scattering (SRS) microscopy to characterize and quantify lipid species in liver tissue sections from patients with NAFL and NASH. We applied a dual-band hyperspectral SRS microscopy system for imaging tissue sections in both the C-H stretching and fingerprint regions. The same sections were imaged with polarization microscopy for detecting birefringent liquid crystals in the tissues. Our imaging and analysis pipeline provides accurate classification and quantification of free cholesterol, saturated cholesteryl esters (CEs), unsaturated CE, and triglycerides in liver tissue sections. The subcellular resolution enables investigations of the heterogeneous distribution of saturated CE, which has been under-examined in previous studies. We also discovered that the birefringent crystals, previously found to be associated with NASH development, are predominantly composed of saturated CE. Our method allows for a detailed characterization of lipid composition in human liver tissues and enables further investigation into the potential mechanism of NASH progression.

P097 Spatially resolved insights into fistulating Crohn's disease pathogenesis: Unveiling molecular heterogeneity

Abstract Background Crohn's disease (CD) frequently results in fistula development in approximately 40% of patients due to sustained, transmural inflammation within the bowel wall. Despite advanced treatments, recurrence of fistulae affects one third of patients. Understanding its pathogenesis is crucial for targeted treatments, yet remains poorly defined. This study employs spatial transcriptomic and single-cell RNA-sequencing (scRNA-seq) technologies to characterise human fistulating CD tissue pathology. Methods Unbiased FFPE spatial transcriptomics (10x Visium) were applied to surgically resected, full-thickness (FT) tissue from 20 CD-associated fistulae cases and 15 controls. Subsequently, selected cases underwent further analysis using custom 500-plex MERFISH subcellular resolution spatial transcriptomics (Vizgen MERSCOPE). Additionally, a reference single-cell cohort encompassing patients with fistulating, stricturing, and inflammatory CD phenotypes, along with healthy controls, was generated. Optimisation of scRNA-seq for resected FT ileal tissue enabled the isolation and profiling of epithelial, immune, and stromal populations (10x Chromium). Computational analysis facilitated the spatial localisation of single-cell clusters enriched in fistula CD tissue, identifying key parameters linked to fistula development. Results The scRNA-seq data revealed diverse CD-specific cellular states adopted by intestinal fibroblasts, with IL11+ fibroblasts prominently expressing CD82, COL7A1, MMP1, CHI3L1, suggestive of pro-fibrotic signalling and regenerative morphogen pathways. This coincided with the expansion of a CD-specific subpopulation of pericytes (CCL19/CCL21) involved in leucocyte migration. Spatial profiling of CD fistula tracts by Visium and MERSCOPE unveiled an enrichment of key epithelial developmental transcription factors (e.g., GRHL3) and localised the pro-fibrotic signature displaying increased IL11 and MMP expression, along with perturbed WNT signalling within the fistula stroma. Active proliferation (HOPX, MKI67) was observed at the base of fistula tracts and within the stroma. Transcriptomic characterisation depicted a gradual loss in stem cell signature (LGR5, ASCL2, SMOC2) and supporting telocytes (POSTN) toward the leading edge of the fistula, signifying abnormal epithelium loss. Conclusion This pioneering study integrates multi-modal spatial transcriptomics and single-cell profiling to unveil the intricate cellular and molecular landscape in FT, fistulating CD pathology. Spatial analyses elucidate specific mechanisms involved in epithelial loss, stromal remodelling, and perturbed WNT signalling pathways within fistulating tissue, outlining a course of disrupted regenerative processes in fistulating CD.

Multiplex, Quantitative, High-Resolution Imaging of Protein:Protein Complexes via Hybridization Chain Reaction.

Signal amplification based on the mechanism of hybridization chain reaction (HCR) facilitates spatial exploration of gene regulatory networks by enabling multiplex, quantitative, high-resolution imaging of RNA and protein targets. Here, we extend these capabilities to the imaging of protein:protein complexes, using proximity-dependent cooperative probes to conditionally generate a single amplified signal if and only if two target proteins are colocalized within the sample. HCR probes and amplifiers combine to provide automatic background suppression throughout the protocol, ensuring that even if reagents bind nonspecifically in the sample, they will not generate amplified background. We demonstrate protein:protein imaging with a high signal-to-background ratio in human cells, mouse proT cells, and highly autofluorescent formalin-fixed paraffin-embedded (FFPE) human breast tissue sections. Further, we demonstrate multiplex imaging of three different protein:protein complexes simultaneously and validate that HCR enables accurate and precise relative quantitation of protein:protein complexes with subcellular resolution in an anatomical context. Moreover, we establish a unified framework for simultaneous multiplex, quantitative, high-resolution imaging of RNA, protein, and protein:protein targets, with one-step, isothermal, enzyme-free HCR signal amplification performed for all target classes simultaneously.

Abstract B106: Spatially-constrained optimal transport interaction analysis reveals therapy-associated remodeling in the pancreatic cancer microenvironment

Abstract Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal malignancies with a five-year overall survival of only 11%. Treatment failure is ubiquitous, driven by genetic and phenotypic heterogeneity combined with a highly desmoplastic and immunosuppressive microenvironment. Identifying novel therapeutic targets in the tumor microenvironment (TME) is critical to improving patient outcomes and can be advanced through understanding the cell intrinsic states and cell-cell interactions driving clinically-relevant properties. Recent applications of single-cell and spatial proteo-transcriptomic technologies to PDAC have enhanced our understanding of intratumoral heterogeneity, cell state plasticity, and neighborhood composition. However, prior studies were unable to provide high-plex molecular information while preserving in situ spatial relationships at single-cell resolution, limiting detailed analyses of cell-cell interactions and potential therapeutic avenues. Advances in spatial technology have enabled subcellular resolution while profiling up to several thousand transcripts. We performed spatial molecular profiling (SMI; NanoString CosMx) on 13 patient-derived PDAC tumors using a 990-plex mRNA panel, which yielded 753,133 high confidence single-cell profiles. We then developed a novel method for inferring multicellular interactions—Spatially Constrained Optimal Transport Interaction Analysis (SCOTIA), an optimal transport model with a cost function that includes both spatial distance and ligand–receptor (LR) gene expression. We used SCOTIA to dissect the remodeled TME in response to neoadjuvant FOLFIRINOX and chemoradiotherapy. Our results uncovered a marked change in LR interactions between cancer-associated fibroblasts and malignant cells in response to treatment, which was supported by results from experiments using a murine tumoroid co-culture system. We observed in treated specimens a lower abundance of myofibroblastic CAFs (myCAFs) and higher prevalence of inflammatory CAFs (iCAFs), which express high levels of IL6 family cytokines and spatially co-localize with cancer cell subtypes previously associated with therapeutic resistance (i.e., neural-like, basal/mesenchymal). Two of the most consistent treatment-enriched LR interactions between CAFs and cancer cells were CLCF1-CNTFR and LIF-IL6ST, members of the IL6 cytokine family. While CAF-derived IL6 family ligands and downstream JAK/STAT3 and MAPK activation have been linked to induction of a mesenchymal cancer cell phenotype in several malignancies as well as neuroendocrine differentiation in prostate cancer, an association with the neural-like malignant cell state in pancreatic cancer has not been previously established. Overall, this study demonstrates that characterization of the TME using high-plex single-cell spatial transcriptomics allows for identification of molecular interactions that may play a role in the emergence of chemoresistance and establishes a translational spatial biology paradigm that can be broadly applied to other malignancies, diseases, and treatments. Citation Format: Alexander T.F. Bell, Jacob T. Mitchell, Ashley L. Kiemen, Melissa Lyman, Kohei Fujikura, Jae W. Lee, Erin Coyne, Sarah M. Shin, Pei-Hsun Wu, Jacquelyn W. Zimmerman, Denis Wirtz, Won J. Ho, Neeha Zaidi, Elizabeth Thompson, Elizabeth M. Jaffee, Laura D. Wood, Elana J. Fertig, Luciane T. Kagohara. Spatially-constrained optimal transport interaction analysis reveals therapy-associated remodeling in the pancreatic cancer microenvironment [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Pancreatic Cancer; 2023 Sep 27-30; Boston, Massachusetts. Philadelphia (PA): AACR; Cancer Res 2024;84(2 Suppl):Abstract nr B106.

Facilitated Transport of EGFR Inhibitors Plays an Important Role in Their Cellular Uptake.

Epidermal growth factor receptor (EGFR) is a transmembrane protein commonly targeted by tyrosine kinase inhibitors (TKIs) as a front-line therapy for patients with many cancers including nonsmall cell lung cancer (NSCLC). Effective treatment requires efficient intracellular drug uptake and target binding. However, despite the recent success in the development of new TKI drugs, the mechanisms of uptake for many TKIs are still poorly understood due to the difficulty in imaging and measuring nonfluorescent drug molecules at a subcellular resolution. It has previously been shown that weakly basic TKI drugs are sequestered in lysosomes. Leveraging this property, we apply hyperspectral stimulated Raman scattering imaging to directly visualize and quantify two Food and Drug Administration-approved EGFR inhibitor drugs (lapatinib and afatinib) inside living cells and the changes in their cellular uptake upon the addition of organic cation transporter inhibitors. These single-cell quantitative measurements provide new insight into the role of membrane transporters in the uptake of TKI drugs in living cells.

Prediction of single-cell RNA expression profiles in live cells by Raman microscopy with Raman2RNA.

Single-cell RNA sequencing and other profiling assays have helped interrogate cells at unprecedented resolution and scale, but are inherently destructive. Raman microscopy reports on the vibrational energy levels of proteins and metabolites in a label-free and nondestructive manner at subcellular spatial resolution, but it lacks genetic and molecular interpretability. Here we present Raman2RNA (R2R), a method to infer single-cell expression profiles in live cells through label-free hyperspectral Raman microscopy images and domain translation. We predict single-cell RNA sequencing profiles nondestructively from Raman images using either anchor-based integration with single molecule fluorescence in situ hybridization, or anchor-free generation with adversarial autoencoders. R2R outperformed inference from brightfield images (cosine similarities: R2R >0.85 and brightfield <0.15). In reprogramming of mouse fibroblasts into induced pluripotent stem cells, R2R inferred the expression profiles of various cell states. With live-cell tracking of mouse embryonic stem cell differentiation, R2R traced the early emergence of lineage divergence and differentiation trajectories, overcoming discontinuities in expression space. R2R lays a foundation for future exploration of live genomic dynamics.

Classes U-Net: A method for nuclei segmentation of photoacoustic histology imaging based on information entropy image classification

Due to its ability to reveal the intrinsic molecule specificity of DNA/RNA at the subcellular lateral resolution, photoacoustic (PA) microscopy holds great promise in histopathology imaging of tissue samples. An essential marker for subsequent illness study and diagnosis is the histopathological picture. Segmenting the histopathological image of cell nuclei has been significantly aided by contemporary image processing technology, while they usually suffer from inadequate segmentation or training resource waste. There are many traditional methods, such as threshold segmentation and region-growing segmentation, but these traditional segmentation methods are affected by the gray distribution of the image itself, so the accuracy of segmentation is difficult to meet the requirements of the index. To address this challenge, we propose an approach, called Classes U-Net, which combines the information entropy classification with U-Net and U-Net++ architecture for the segmentation of photoacoustic histology images. The results show that our Classes U-Net effectively improves the DICE to 91.43 %, IOU to 84.215, better than U-Net’s 83.28 % and 71.35 %, better than U-Net++’s 84.60 % and 73.31 %, and our Classes U-Net reduce the required computing resources.

Biohybrid Photonic Platform for Subcellular Stimulation and Readout of In Vitro Neurons.

Targeted manipulation of neural activity via light has become an indispensable tool for gaining insights into the intricate processes governing single neurons and complex neural networks. To shed light onto the underlying interaction mechanisms, it is crucial to achieve precise control of individual neural activity, as well as a spatial read-out resolution on the nanoscale. Here, a versatile photonic platform with subcellular resolution for stimulation and monitoring of in-vitro neurons is demonstrated. Low-loss photonic waveguides are fabricated on glass substrates using nanoimprint lithography and featuring a loss of only -0.9±0.2dBcm-1 at 489nm and are combined with optical fiber-based waveguide-access and backside total internal reflection fluorescence microscopy. Neurons are grown on the bio-functionalized photonic chip surface and, expressing the light-sensitive ion channel Channelrhodopsin-2, are stimulated within the evanescent field penetration depth of 57nm of the biocompatible waveguides. The versatility and cost-efficiency of the platform, along with the possible subcellular resolution, enable tailor-made investigations of neural interaction dynamics with defined spatial control and high throughput.

A mitochondrial-targeted activity-based sensing probe for ratiometric imaging of formaldehyde reveals key regulators of the mitochondrial one-carbon pool.

Formaldehyde (FA) is both a highly reactive environmental genotoxin and an endogenously produced metabolite that functions as a signaling molecule and one-carbon (1C) store to regulate 1C metabolism and epigenetics in the cell. Owing to its signal-stress duality, cells have evolved multiple clearance mechanisms to maintain FA homeostasis, acting to avoid the established genotoxicity of FA while also redirecting FA-derived carbon units into the biosynthesis of essential nucleobases and amino acids. The highly compartmentalized nature of FA exposure, production, and regulation motivates the development of chemical tools that enable monitoring of transient FA fluxes with subcellular resolution. Here we report a mitochondrial-targeted, activity-based sensing probe for ratiometric FA detection, MitoRFAP-2, and apply this reagent to monitor endogenous mitochondrial sources and sinks of this 1C unit. We establish the utility of subcellular localization by showing that MitoRFAP-2 is sensitive enough to detect changes in mitochondrial FA pools with genetic and pharmacological modulation of enzymes involved in 1C and amino acid metabolism, including the pervasive, less active genetic mutant aldehyde dehydrogenase 2*2 (ALDH2*2), where previous, non-targeted versions of FA sensors are not. Finally, we used MitoRFAP-2 to comparatively profile basal levels of FA across a panel of breast cancer cell lines, finding that FA-dependent fluorescence correlates with expression levels of enzymes involved in 1C metabolism. By showcasing the ability of MitoRFAP-2 to identify new information on mitochondrial FA homeostasis, this work provides a starting point for the design of a broader range of chemical probes for detecting physiologically important aldehydes with subcellular resolution and a useful reagent for further studies of 1C biology.

Subcellular protein turnover in human neural progenitor cells revealed by correlative electron microscopy and nanoscale secondary ion mass spectrometry imaging.

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.

Imaging Mass Cytometry for In Situ Immune Profiling.

The complexities and cellular heterogeneity associated with tissues necessitate the concurrent detection of markers beyond the limitations of conventional imaging approaches in order to spatially resolve the relationships between immune cell populations and their environments. This is a necessary complement to single-cell suspension-based methods to inform a better understanding of the events that may underlie pathological conditions. Imaging mass cytometry is a high-dimensional imaging modality that allows for the concurrent detection of up to 40 protein markers of interest across tissues at subcellular resolution. Here, we present an optimized staining protocol for imaging mass cytometry with modifications that integrate RNAscope. This unique addition enables combined protein and single-molecule RNA detection, thereby expanding the utility of imaging mass cytometry to researchers investigating low abundance or noncoding targets. In general, the procedure described is broadly applicable for comprehensive immune profiling of host-pathogen interactions, tumor microenvironments and inflammatory conditions, all within the tissue contexture.

Strength in numbers: Unleashing the potential of trans-scale scope AMATERAS for massive cell quantification.

Singularity biology is a scientific field that targets drastic state changes in multicellular systems, aiming to discover the key cells that induce the state change and investigate the mechanisms behind them. To achieve this goal, we developed a trans-scale optical imaging system (trans-scale scope), that is capable of capturing both macroscale changes across the entire system and the micro-scale behavior of individual cells, surpassing the cell observation capabilities of traditional microscopes. We developed two units of the trans-scale scope, named AMATERAS-1 and -2, which demonstrated the ability to observe multicellular systems consisting of over one million cells in a single field of view with sub-cellular resolution. This flagship instrument has been used to observe the dynamics of various cell species, with the advantage of being able to observe a large number of cells, allowing the detection and analysis of rare events and cells such as leader cells in multicellular pattern formation and cells that spontaneously initiate calcium waves. In this paper, we present the design concept of AMATERAS, the optical configuration, and several examples of observations, and demonstrate how the strength-in-numbers works in life sciences.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) culture and sample preparation for correlative light electron microscopy.

Correlative Light Electron Microscopy (CLEM) is a powerful technique to investigate the ultrastructure of specific cells and organelles at sub-cellular resolution. Transmission Electron Microscopy (TEM) is particularly useful to the field of virology, given the small size of the virion, which is below the limit of detection by light microscopy. Furthermore, viral infection results in the rearrangement of host organelles to form spatially defined compartments that facilitate the replication of viruses. With the emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), there has been great interest to study the viral replication complex using CLEM. In this chapter we provide an exemplary workflow describing the safe preparation and processing of cells grown on coverslips and infected with SARS-CoV-2.

A photoswitchable CENP-E inhibitor with single blue-green light to control chromosome positioning in mitotic cells.

Reversibly photoswitchable chemical tools have aided in the development of novel approaches in the biomedical field. The visible region of light should be ideal for the biological application of this approach because of its low phototoxicity and deep penetration depth compared to ultraviolet light. Herein, we report a photoswitchable centromere-associated protein E (CENP-E) inhibitor, which is controllable with low-energy blue-green light (around 500 nm) illumination. This photoswitchable tool enabled us to control CENP-E-driven chromosome movements and positioning at subcellular resolutions with low phototoxic effects. This study can contribute to the development of a unique technique for chromosome engineering.

Topology-based segmentation of 3D confocal images of emerging hematopoietic stem cells in the zebrafish embryo

Abstract We develop a novel method for image segmentation of 3D confocal microscopy images of emerging hematopoietic stem cells. The method is based on the theory of persistent homology and uses an optimal threshold to select the most persistent cycles in the persistence diagram. This enables the segmentation of the image’s most contrasted and representative shapes. Coupling this segmentation method with a meshing algorithm, we define a pipeline for 3D reconstruction of confocal volumes. Compared to related methods, this approach improves shape segmentation, is more ergonomic to automatize, and has fewer parameters. We apply it to the segmentation of membranes, at subcellular resolution, of cells involved in the endothelial-to-hematopoietic transition (EHT) in the zebrafish embryos.