Correlative light and electron microscopy: new strategies for improved throughput and targeting precision

The need for quantitative analysis is crucial when studying fundamental mechanisms in cell biology. Common assays consist of interfering with a system via protein knockdowns or drug treatments. These very often lead to important response variability that is generally addressed by analyzing large populations. Whilst the imaging throughput in light microscopy (LM) is high enough for such large screens, electron microscopy (EM) still lags behind and is not adapted to collect large amounts of data from highly heterogeneous cell populations. Nevertheless, EM is the only technique that offers high-resolution imaging of the entire subcellular context. Correlative light and electron microscopy (CLEM) has made it possible to look at rare events or addressing heterogeneous populations. Our goal is to develop new strategies in CLEM. More specifically, we aim at automatizing the processes of screening large cell populations (living cells or pre-fixed), identifying the sub-populations of interest by LM, targeting these by EM and measuring the key components of the subcellular organization. New 3D-EM techniques like focused ion beam - scanning electron microscopy (FIB-SEM) enable a high degree of automation for the acquisition of high-resolution, full cell datasets. So far, this has only been applied to individual target volumes, often isotropic and has not been designed to acquire multiple regions of interest. The ability to acquire full cells with up to 5 nm x 5 nm x 5 nm voxel size (x, y referring to pixel size, z referring to slice thickness), leads to the accumulation of large datasets. Their analysis involves tedious manual segmentation or so far not well established automated segmentation algorithms. To enable the analysis and quantification of an extensive amount of data, we decided to explore the potential of stereology protocols in combination with automated acquisition in the FIB-SEM. Instead of isotropic datasets, a few evenly spaced sections are used to quantify subcellular structures. Our strategy therefore combines CLEM, 3D-EM and stereology to collect and analyze large amounts of cells selected based on their phenotype as visible by fluorescence microscopy. We demonstrate the power of the approach in a systematic screen of the Golgi apparatus morphology upon alteration of the expression of 10 proteins, plus negative and positive control. In parallel to this core project, we demonstrate the power of combining correlative approaches with 3D-EM for the detailed structural analysis of fundamental cell biology events during cell division and also for the understanding on complex physiological transitions in a multicellular model organism

Quantifying Golgi structure using EM : combining volume-SEM and stereology for higher throughput

John Lucocq was supported by a Programme grant from the Wellcome Trust (Number 045404). Sophie Ferguson was a recipient of a 600th anniversary studentship from the University of St Andrews.Investigating organelles such as the Golgi complex depends increasingly on high-throughput quantitative morphological analyses from multiple experimental or genetic conditions. Light microscopy (LM) has been an effective tool for screening but fails to reveal fine details of Golgi structures such as vesicles, tubules and cisternae. Electron microscopy (EM) has sufficient resolution but traditional transmission EM (TEM) methods are slow and inefficient. Newer volume scanning EM (volume-SEM) methods now have the potential to speed up 3D analysis by automated sectioning and imaging. However, they produce large arrays of sections and/or images, which require labour-intensive 3D reconstruction for quantitation on limited cell numbers. Here, we show that the information storage, digital waste and workload involved in using volume-SEM can be reduced substantially using sampling-based stereology. Using the Golgi as an example, we describe how Golgi populations can be sensed quantitatively using single random slices and how accurate quantitative structural data on Golgi organelles of individual cells can be obtained using only 5–10 sections/images taken from a volume-SEM series (thereby sensing population parameters and cell–cell variability). The approach will be useful in techniques such as correlative LM and EM (CLEM) where small samples of cells are treated and where there may be variable responses. For Golgi study, we outline a series of stereological estimators that are suited to these analyses and suggest workflows, which have the potential to enhance the speed and relevance of data acquisition in volume-SEM.Publisher PDFPeer reviewe

Daten sammeln, modellieren und durchsuchen mit DARIAH - DE

Die sammlungsübergreifende Recherche und Nachnutzung geisteswissenschaftlicher Forschungsdaten stehen im Blickpunkt aktueller Forschung in den Digital Humanities. Obwohl das Interesse an einer Zusammenführung digitaler Forschungsdaten bereits kurz nach der Einführung erster digitaler Bibliotheken um die Jahrtausendwende entstand, bleibt die Integration von Forschungsdaten über Sammlungsgrenzen hinweg ein aktuelles Forschungsthema. Bei einer forschungsorientierten Betrachtung von Sammlungen digitaler Daten (also z. B. digitale Texte, Digitalisate, Normdaten, Metadaten) stellt sich die Frage nach den Anforderungen und Erfolgskriterien einer übergreifenden Föderation, Verarbeitung und Visualisierung von Forschungsdaten. Entgegen der in der Praxis üblichen Orientierung an institutionellen Anforderungen stellen die in DARIAH-DE entwickelten Konzepte und Dienste zur Verzeichnung, Korrelation und Zusammenführung von Forschungsdaten die Bedürfnisse von WissenschaftlerInnen im Kontext ihrer Forschungsfragen in den Mittelpunkt. Dies äußert sich beispielsweise darin, dass DARIAH-DE keine strukturellen Bedingungen an Forschungsdaten stellt. Stattdessen können Daten so publiziert, modelliert und integriert werden, dass eine möglichst gute Passung an den jeweiligen geisteswissenschaftlichen Kontext erreicht wird

Photonic-chip assisted correlative light and electron microscopy

Correlative light-electron microscopy (CLEM) unifies the versatility of light microscopy (LM) with the high resolution of electron microscopy (EM), allowing one to zoom into the complex organization of cells. Most CLEM techniques use ultrathin sections, and thus lack the 3D-EM structural information, and focusing on a very restricted field of view. Here, we introduce photonic chip assisted CLEM, enabling multi-modal total internal reflection fluorescence (TIRF) microscopy over large field of view and high precision localization of the target area of interest within EM. The chip-based direct stochastic optical reconstruction microscopy (dSTORM), and 3D high precision correlation of biological processes by focused ion beam-scanning electron microscopy (FIB-SEM) is further demonstrated. The core layer of the photonic chips are used as a substrate to hold, to illuminate and the cladding layer is used to enable high-precision landmarking of the sample through specially designed grid-like numbering systems. The landmarks are fabricated on the cladding of the photonic chips as extruding pillars from the waveguide surface, thus remaining visible for FIB-SEM after resin embedding during sample processing. Using this approach we demonstrate its applicability for tracking the area of interest, imaging the 3D structural organization of nano-sized morphological features on liver sinusoidal endothelial cells such as fenestrations, and correlating specific endo-lysosomal compartments with its cargo protein upon endocytosis. We envisage that photonic chip equipped with landmarks can be used in the future to automatize the work-flow for both LM and EM for high-throughput CLEM, providing the resolution needed for insights into the complex intracellular communication and the relation between morphology and function in health and disease.Comment: 23 Pages, 11 Figure

CLEMSite, a software for automated phenotypic screens using light microscopy and FIB-SEM

This work was supported by EMBL funds and by by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Project number 240245660 – SFB 1129 (project Z2).In recent years, Focused Ion Beam Scanning Electron Microscopy (FIB-SEM) has emerged as a flexible method that enables semi-automated volume ultrastructural imaging. We present a toolset for adherent cells that enables tracking and finding cells, previously identified in light microscopy (LM), in the FIB-SEM, along with the automatic acquisition of high-resolution volume datasets. We detect the underlying grid pattern in both modalities (LM and EM), to identify common reference points. A combination of computer vision techniques enables complete automation of the workflow. This includes setting the coincidence point of both ion and electron beams, automated evaluation of the image quality and constantly tracking the sample position with the microscope’s field of view reducing or even eliminating operator supervision. We show the ability to target the regions of interest in EM within 5 µm accuracy while iterating between different targets and implementing unattended data acquisition. Our results demonstrate that executing volume acquisition in multiple locations autonomously is possible in EM.Publisher PDFPeer reviewe

Focused ion beam-scanning electron microscopy links pathological myelin outfoldings to axonal changes in mice lacking Plp1 or Mag

Healthy myelin sheaths consist of multiple compacted membrane layers closely encasing the underlying axon. The ultrastructure of CNS myelin requires specialized structural myelin proteins, including the transmembrane-tetraspan proteolipid protein (PLP) and the Ig-CAM myelin-associated glycoprotein (MAG). To better understand their functional relevance, we asked to what extent the axon/myelin-units display similar morphological changes if PLP or MAG are lacking. We thus used focused ion beam-scanning electron microscopy (FIB-SEM) to re-investigate axon/myelin-units side-by-side in Plp- and Mag-null mutant mice. By three-dimensional reconstruction and morphometric analyses, pathological myelin outfoldings extend up to 10 μm longitudinally along myelinated axons in both models. More than half of all assessed outfoldings emerge from internodal myelin. Unexpectedly, three-dimensional reconstructions demonstrated that both models displayed complex axonal pathology underneath the myelin outfoldings, including axonal sprouting. Axonal anastomosing was additionally observed in Plp-null mutant mice. Importantly, normal-appearing axon/myelin-units displayed significantly increased axonal diameters in both models according to quantitative assessment of electron micrographs. These results imply that healthy CNS myelin sheaths facilitate normal axonal diameters and shape, a function that is impaired when structural myelin proteins PLP or MAG are lacking

Developmental changes of the mitochondria in the murine anteroventral cochlear nucleus

Summary: Mitochondria are key organelles to provide ATP for synaptic transmission. This study aims to unravel the structural adaptation of mitochondria to an increase in presynaptic energy demand and upon the functional impairment of the auditory system. We use the anteroventral cochlear nucleus (AVCN) of wild-type and congenital deaf mice before and after hearing onset as a model system for presynaptic states of lower and higher energy demands. We combine focused ion beam scanning electron microscopy and electron tomography to investigate mitochondrial morphology. We found a larger volume of synaptic boutons and mitochondria after hearing onset with a higher crista membrane density. In deaf animals lacking otoferlin, we observed a shallow increase of mitochondrial volumes toward adulthood in endbulbs, while in wild-type animals mitochondria further enlarged. We propose that in the AVCN, presynaptic mitochondria undergo major structural changes likely to serve higher energy demands upon the onset of hearing and further maturation

TCF12 controls oligodendroglial cell proliferation and regulates signaling pathways conserved in gliomas

International audienceAbstract Diffuse gliomas are primary brain tumors originating from the transformation of glial cells. In particular, oligodendrocyte precursor cells constitute the major tumor-amplifying population in the gliomagenic process. We previously identified the TCF12 gene, encoding a transcription factor of the E protein family, as being recurrently mutated in oligodendrogliomas. In this study, we sought to understand the function of TCF12 in oligodendroglial cells, the glioma lineage of origin. We first describe TCF12 mRNA and protein expression pattern in oligodendroglial development in the mouse brain. Second, by TCF12 genome wide chromatin profiling in oligodendroglial cells, we show that TCF12 binds active promoters of genes involved in proliferation, translation/ribosomes, and pathways involved in oligodendrocyte development and cancer. Finally, we perform OPC-specific Tcf12 inactivation in vivo and demonstrate by immunofluorescence and transcriptomic analyses that TCF12 is transiently required for OPC proliferation but dispensable for oligodendrocyte differentiation. We further show that Tcf12 inactivation results in deregulation of biological processes that are also altered in oligodendrogliomas. Together, our data suggest that TCF12 directly regulates transcriptional programs in oligodendroglia development that are relevant in a glioma context

Photonic-chip assisted correlative light and electron microscopy

Correlative light and electron microscopy (CLEM) unifies the versatility of light microscopy (LM) with the high resolution of electron microscopy (EM), allowing one to zoom into the complex organization of cells. Here, we introduce photonic chip assisted CLEM, enabling multi-modal total internal reflection fluorescence (TIRF) microscopy over large field of view and high precision localization of the target area of interest within EM. The photonic chips are used as a substrate to hold, to illuminate and to provide landmarking of the sample through specially designed grid-like numbering systems. Using this approach, we demonstrate its applicability for tracking the area of interest, imaging the three-dimensional (3D) structural organization of nano-sized morphological features on liver sinusoidal endothelial cells such as fenestrations (trans-cytoplasmic nanopores), and correlating specific endo-lysosomal compartments with its cargo protein upon endocytosis