Biomolecular condensates are triggered by multivalent interactions conferred by the intrinsically disordered regions and/or interacting domains within the constituents. While light microscopy has provided powerful tools to study the dynamics of intracellular condensates, electron microscopy (EM) gives more detailed insights into their ultrastructure and spatial connectivity with membrane system. In this chapter, we describe the methods for detecting the membraneless condensates in plant cells by high-pressure freezing -based EM coupled with immuno-gold labeling and correlative light electron microscopy techniques, which may benefit researchers in future studies.

Macroautophagy, hereafter autophagy, plays a crucial role in the degradation of harmful or unwanted cellular components through a double-membrane autophagosome. Upon autophagosome fusion with the vacuole, the degraded materials are subsequently recycled to generate macromolecules, contributing to cellular homeostasis, metabolism, and stress tolerance in plants. A hallmark during autophagy is the formation of isolation membrane structure named as phagophore, which undergoes multiple steps to become as a complete double-membrane autophagosome. Methodologies have been developed in recent years to observe and quantify the autophagic process, which greatly advance knowledge of autophagosome biogenesis in plant cells. In this chapter, we will introduce two methods to dissect the autophagosome-related structures in the Arabidopsis plant cells, including the correlative light and electron microscopy, to map the ultrastructural feature of autophagosomal structures, and time-lapse imaging to monitor the temporal recruitment of autophagy machinery during autophagosome formation.

Large-scale electron microscopy (EM) has enabled the reconstruction of brain connectomes at the synaptic level by serially scanning over massive areas of sample sections. The acquired big EM data sets raise the great challenge of image mosaicking at high accuracy. Currently, it simply follows the conventional algorithms designed for natural images, which are usually composed of only a few tiles, using a single type of keypoint feature that would sacrifice speed for stronger performance. Even so, in the process of stitching hundreds of thousands of tiles for large EM data, errors are still inevitable and diverse. Moreover, there has not yet been an appropriate metric to quantitatively evaluate the stitching of biomedical EM images. Here we propose a two-stage error detection method to improve the EM image mosaicking. It firstly uses point-based error detection in combination with a hybrid feature framework to expedite the stitching computation while maintaining high accuracy. Following is the second detection of unresolved errors with a newly designed metric of EM stitched image quality assessment (EMSIQA). The novel detection-based mosaicking pipeline is tested on large EM data sets and proven to be more effective and as accurate when compared with existing methods.

Ribosomal RNA (rRNA) plays a vital role in binding amino acids together, which dictates the primary structure of a protein. Visualization of its intracellular distribution and dynamics during protein synthesis enables a better understanding of the correlated biological essence. However, appropriate tools targeting live cell rRNA that are capable of multimodal imaging at the nanoscale are still lacking. Here, we rationally designed a series of terpyridine ammonium iridium(III) complexes, one of which is capable of selectively labeling rRNA in living cells. Its metal core and photostable nature allow further super-resolution STED imaging of rRNA found on the rough endoplasmic reticulum at a ∼40 nm resolution that is well correlated under correlative light and electron microscopy (CLEM). Interestingly, the Ir(III) complex demonstrated rRNA dynamics in living cells while boosting protein synthesis at the nanoscale. Our work offers a versatile tool to visualize rRNA synchronously under optical and electron microscopy, which provides a better understanding of rRNA evolution in living systems.

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Germline cells are critical for transmitting genetic information to subsequent generations in biological organisms. While their differentiation from somatic cells during embryonic development is well-documented in most animals, the regulatory mechanisms initiating plant germline cells are not well understood. To thoroughly investigate the complex morphological transformations of their ultrastructure over developmental time, nanoscale 3D reconstruction of entire plant tissues is necessary, achievable exclusively through electron microscopy imaging. This paper presents a full-process framework designed for reconstructing large-volume plant tissue from serial electron microscopy images. The framework ensures end-to-end direct output of reconstruction results, including topological networks and morphological analysis. The proposed 3D cell alignment, denoise, and instance segmentation pipeline (3DCADS) leverages deep learning to provide a cell instance segmentation workflow for electron microscopy image series, ensuring accurate and robust 3D cell reconstructions with high computational efficiency. The pipeline involves five stages: the registration of electron microscopy serial images; image enhancement and denoising; semantic segmentation using a Transformer-based neural network; instance segmentation through a supervoxel-based clustering algorithm; and an automated analysis and statistical assessment of the reconstruction results, with the mapping of topological connections. The 3DCADS model\'s precision was validated on a plant tissue ground-truth dataset, outperforming traditional baseline models and deep learning baselines in overall accuracy. The framework was applied to the reconstruction of early meiosis stages in the anthers of Arabidopsis thaliana, resulting in a topological connectivity network and analysis of morphological parameters and characteristics of cell distribution. The experiment underscores the 3DCADS model\'s potential for biological tissue identification and its significance in quantitative analysis of plant cell development, crucial for examining samples across different genetic phenotypes and mutations in plant development. Additionally, the paper discusses the regulatory mechanisms of Arabidopsis thaliana\'s germline cells and the development of stamen cells before meiosis, offering new insights into the transition from somatic to germline cell fate in plants.

OBJECTIVE: Planar cell polarity (PCP) signaling, essential for uniform alignment and directional beating of motile cilia, has been investigated in multiciliated epithelia. As a complex structure connecting the middle ear to the nasopharynx, the eustachian tube (ET) is important in the onset of ear-nose-throat diseases. However, PCP signaling, including the orientation that is important for ciliary motility and clearance function in the ET, has not been studied. We evaluated PCP in the ET epithelium.
METHODS: Morphometric examination of the mouse ET.
METHODS: We performed electron microscopy to assess ciliary polarity in the mouse ET, along with immunohistochemical analysis of PCP protein localization in the ET epithelium.
RESULTS: We discovered PCP in the ET epithelium. Motile cilia were aligned in the same direction in individual and neighboring cells; this alignment manifested as ciliary polarity in multiciliated cells. Additionally, PCP proteins were asymmetrically localized between adjacent cells in the plane of the ET.
CONCLUSIONS: The multiciliated ET epithelium exhibits polarization, suggesting novel structural features that may be critical for ET function.
METHODS: NA Laryngoscope, 134:3795-3801, 2024.

The structural diversity of biological macromolecules in different environments contributes complexity to enzymological processes vital for cellular functions. Fluorescence resonance energy transfer and electron microscopy are used to investigate the enzymatic reaction of T4 DNA ligase catalyzing the ligation of nicked DNA. The data show that both the ligase-AMP complex and the ligase-AMP-DNA complex can have four conformations. This finding suggests the parallel occurrence of four ligation reaction pathways, each characterized by specific conformations of the ligase-AMP complex that persist in the ligase-AMP-DNA complex. Notably, these complexes have DNA bending angles of ≈0°, 20°, 60°, or 100°. The mechanism of parallel reactions challenges the conventional notion of simple sequential reaction steps occurring among multiple conformations. The results provide insights into the dynamic conformational changes and the versatile attributes of T4 DNA ligase and suggest that the parallel multiple reaction pathways may correspond to diverse T4 DNA ligase functions. This mechanism may potentially have evolved as an adaptive strategy across evolutionary history to navigate complex environments.

The history of virology, which is marked by transformative breakthroughs, spans microbiology, biochemistry, genetics, and molecular biology. From the development of Jenner\'s smallpox vaccine in 1796 to 20th-century innovations such as ultrafiltration and electron microscopy, the field of virology has undergone significant development. In 1898, Beijerinck laid the conceptual foundation for virology, marking a pivotal moment in the evolution of the discipline. Advancements in influenza A virus research in 1933 by Richard Shope furthered our understanding of respiratory pathogens. Additionally, in 1935, Stanley\'s determination of viruses as solid particles provided substantial progress in the field of virology. Key milestones include elucidation of reverse transcriptase by Baltimore and Temin in 1970, late 20th-century revelations linking viruses and cancer, and the discovery of HIV by Sinoussi, Montagnier, and Gallo in 1983, which has since shaped AIDS research. In the 21st century, breakthroughs such as gene technology, mRNA vaccines, and phage display tools were achieved in virology, demonstrating its potential for integration with molecular biology. The achievements of COVID-19 vaccines highlight the adaptability of virology to global health.

Lysosomes are degradation and signalling centres crucial for homeostasis, development and ageing1. To meet diverse cellular demands, lysosomes remodel their morphology and function through constant fusion and fission2,3. Little is known about the molecular basis of fission. Here we identify HPO-27, a conserved HEAT repeat protein, as a lysosome scission factor in Caenorhabditis elegans. Loss of HPO-27 impairs lysosome fission and leads to an excessive tubular network that ultimately collapses. HPO-27 and its human homologue MROH1 are recruited to lysosomes by RAB-7 and enriched at scission sites. Super-resolution imaging, negative-staining electron microscopy and in vitro reconstitution assays reveal that HPO-27 and MROH1 self-assemble to mediate the constriction and scission of lysosomal tubules in worms and mammalian cells, respectively, and assemble to sever supported membrane tubes in vitro. Loss of HPO-27 affects lysosomal morphology, integrity and degradation activity, which impairs animal development and longevity. Thus, HPO-27 and MROH1 act as self-assembling scission factors to maintain lysosomal homeostasis and function.