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Studying host-pathogen interactions is essential for understanding infectious diseases and developing possible treatments, especially for priority pathogens with increased virulence and antibiotic resistance, such as Klebsiella pneumoniae. Over time, this subject has been approached from different perspectives, often using mammal host models and invasive endpoint measurements (e.g., sacrifice and organ extraction). However, taking advantage of technological advances, it is now possible to follow the infective process by noninvasive visualization in real time, using optically amenable surrogate hosts. In this line, this chapter describes a live-cell imaging approach to monitor the interaction of K. pneumoniae and potentially other bacterial pathogens with zebrafish larvae in vivo. This methodology is based on the microinjection of fluorescent bacteria into the otic vesicle, followed by time-lapse observation by automated fluorescence microscopy with environmental control, monitoring the dynamics of immune cell recruitment, bacterial load, and larvae survival.
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Interacciones Huésped-Patógeno , Infecciones por Klebsiella , Klebsiella pneumoniae , Larva , Microinyecciones , Microscopía Fluorescente , Pez Cebra , Animales , Pez Cebra/microbiología , Klebsiella pneumoniae/inmunología , Microinyecciones/métodos , Larva/microbiología , Larva/inmunología , Microscopía Fluorescente/métodos , Interacciones Huésped-Patógeno/inmunología , Infecciones por Klebsiella/microbiología , Infecciones por Klebsiella/inmunología , Modelos Animales de EnfermedadRESUMEN
Biological membranes are complex, heterogeneous, and dynamic systems that play roles in the compartmentalization and protection of cells from the environment. It is still a challenge to elucidate kinetics and real-time transport routes for molecules through biological membranes in live cells. Currently, by developing and employing super-resolution microscopy; increasing evidence indicates channels and transporter nano-organization and dynamics within membranes play an important role in these regulatory mechanisms. Here we review recent advances and discuss the major advantages and disadvantages of using super-resolution microscopy to investigate protein organization and transport within plasma membranes.
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Calcium ions (Ca2+) play pivotal roles in regulating numerous cellular functions, including metabolism and growth, in normal and cancerous cells. Consequently, Ca2+ signaling is a vital determinant of cell fate and influences both cell survival and death. These intracellular signals are susceptible to modulation by various factors, including changes in the extracellular environment, which leads to mechanical alterations. However, the effect of extracellular matrix (ECM) stiffness variations on intracellular Ca2+ signaling remains underexplored. In this study, we aimed to elucidate the mechanisms of Ca2+ regulation through the mitochondria, which are crucial to Ca2+ homeostasis. We investigated how Ca2+ regulatory mechanisms adapt to different levels of ECM stiffness by simultaneously imaging the mitochondria and endoplasmic reticulum (ER) in live cells using genetically encoded biosensors. Our findings revealed that the uptake of mitochondrial Ca2+ through Voltage-Dependent Anion Channel 1 (VDAC1), facilitated by intracellular tubulin, is influenced by ECM stiffness. Unraveling these Ca2+ regulatory mechanisms under various conditions offers a novel perspective for advancing biomedical studies involving Ca2+ signaling.
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Exocytosis is a dynamic physiological process that enables the release of biomolecules to the surrounding environment via the fusion of membrane compartments to the plasma membrane. Understanding its mechanisms is crucial, as defects can compromise essential biological functions. The development of pH-sensitive optical reporters alongside fluorescence microscopy enables the assessment of individual vesicle exocytosis events at the cellular level. Manual annotation represents, however, a time-consuming task, prone to selection biases and human operational errors. Here, we introduce ExoJ, an automated plugin based on ImageJ2/Fiji. ExoJ identifies user-defined genuine populations of exocytosis events, recording quantitative features including intensity, apparent size and duration. We designed ExoJ to be fully user-configurable, making it suitable to study distinct forms of vesicle exocytosis regardless of the imaging quality. Our plugin demonstrates its capabilities by showcasing distinct exocytic dynamics among tetraspanins and vesicular SNAREs protein reporters. Assessment of performance on synthetic data showed ExoJ is a robust tool, capable to correctly identify exocytosis events independently of signal-to-noise ratio conditions. We propose ExoJ as a standard solution for future comparative and quantitative studies of exocytosis.
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To explore new compounds with antitumour activity, fifteen phenolic nor-tripterpenes isolated from Celastraceae species, Maytenus jelskii, Maytenus cuzcoina, and Celastrus vulcanicola, have been studied. Their chemical structures were elucidated through spectroscopic and spectrometric techniques, resulting in the identification of three novel chemical compounds. Evaluation on human tumour cell lines (A549 and SW1573, non-small cell lung; HBL-100 and T-47D, breast; HeLa, cervix, and WiDr, colon) revealed that three compounds, named 6-oxo-pristimerol, demethyl-zeylasteral, and zeylasteral, exhibited significant activity (GI50 ranging from 0.45 to 8.6 µM) on at least five of the cell lines tested. Continuous live cell imaging identified apoptosis as the mode of action of selective cell killing in HeLa cells. Furthermore, their effect on a drug-sensitive Saccharomyces cerevisiae strain has been investigated to deepen on their mechanism of action. In dose-response growth curves, zeylasteral and 7α-hydroxy-blepharodol were markedly active. Additionally, halo assays were conducted to assess the involvement of oxidative stress and/or mitochondrial function in the anticancer profile, ruling out these modes of action for the active compounds. Finally, we also delve into the structure-activity relationship, providing insights into how the molecular structure of these compounds influences their biological activity. This comprehensive analysis enhances our understanding of the therapeutic potential of this triterpene type and underscores its relevance for further research in this field.
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Antineoplásicos Fitogénicos , Apoptosis , Humanos , Apoptosis/efectos de los fármacos , Antineoplásicos Fitogénicos/farmacología , Antineoplásicos Fitogénicos/química , Fenoles/farmacología , Fenoles/química , Triterpenos/farmacología , Triterpenos/química , Células HeLa , Celastraceae/química , Línea Celular Tumoral , Extractos Vegetales/farmacología , Extractos Vegetales/química , Saccharomyces cerevisiae/efectos de los fármacos , Células A549 , Estructura Molecular , Proliferación Celular/efectos de los fármacosRESUMEN
Uncovering fine-grained phenotypes of live cell dynamics is pivotal for a comprehensive understanding of the heterogeneity in healthy and diseased biological processes. However, this endeavor poses significant technical challenges for unsupervised machine learning, requiring the extraction of features that not only faithfully preserve this heterogeneity but also effectively discriminate between established biological states, all while remaining interpretable. To tackle these challenges, a self-training deep learning framework designed for fine-grained and interpretable phenotyping is presented. This framework incorporates an unsupervised teacher model with interpretable features to facilitate feature learning in a student deep neural network (DNN). Significantly, an autoencoder-based regularizer is designed to encourage the student DNN to maximize the heterogeneity associated with molecular perturbations. This method enables the acquisition of features with enhanced discriminatory power, while simultaneously preserving the heterogeneity associated with molecular perturbations. This study successfully delineated fine-grained phenotypes within the heterogeneous protrusion dynamics of migrating epithelial cells, revealing specific responses to pharmacological perturbations. Remarkably, this framework adeptly captured a concise set of highly interpretable features uniquely linked to these fine-grained phenotypes, each corresponding to specific temporal intervals crucial for their manifestation. This unique capability establishes it as a valuable tool for investigating diverse cellular dynamics and their heterogeneity.
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α-Actinin-4 (ACTN4) expression levels are correlated with the invasive and metastatic potential of cancer cells; however, the underlying mechanism remains unclear. Here, we identified ACTN4-localized ruffle-edge lamellipodia using live-cell imaging and correlative light and electron microscopy (CLEM). BSC-1 cells expressing EGFP-ACTN4 showed that ACTN4 was most abundant in the leading edges of lamellipodia, although it was also present in stress fibers and focal adhesions. ACTN4 localization in lamellipodia was markedly diminished by phosphoinositide 3-kinase inhibition, whereas its localization in stress fibers and focal adhesions remained. Furthermore, overexpression of ACTN4, but not ACTN1, promoted lamellipodial formation. Live-cell analysis demonstrated that ACTN4-enriched lamellipodia are highly dynamic and associated with cell migration. CLEM revealed that ACTN4-enriched lamellipodia exhibit a characteristic morphology of multilayered ruffle-edges that differs from canonical flat lamellipodia. Similar ruffle-edge lamellipodia were observed in A549 and MDA-MB-231 invasive cancer cells. ACTN4 knockdown suppressed the formation of ruffle-edge lamellipodia and cell migration during wound healing in A549 monolayer cultures. Additionally, membrane-type 1 matrix metalloproteinase was observed in the membrane ruffles, suggesting that ruffle-edge lamellipodia have the ability to degrade the extracellular matrix and may contribute to active cell migration/invasion in certain cancer cell types.
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Live-cell label-free imaging of a microscopic biological barrier, generally referred to as 'tight junction', was realized by a recently developed electric-double-layer modulation imaging (EDLMI). The method allowed quantitative imaging of barrier integrity in real time, thus being an upper compatible of transepithelial electrical resistance (TEER) which is a conventional standard technique to evaluate spatially averaged barrier integrity. We demonstrate that the quantitative and real-time imaging capability of EDLMI unveils fundamental dynamics of biological barrier, some of which are totally different from conventional understandings.
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Técnicas Biosensibles , Humanos , Técnicas Biosensibles/métodos , Uniones Estrechas/metabolismo , Impedancia EléctricaRESUMEN
To elucidate the dynamic evolution of cancer cell characteristics within the tumor microenvironment (TME), we developed an integrative approach combining single-cell tracking, cell fate simulation, and 3D TME modeling. We began our investigation by analyzing the spatiotemporal behavior of individual cancer cells in cultured pancreatic (MiaPaCa2) and cervical (HeLa) cancer cell lines, with a focus on the α2-6 sialic acid (α2-6Sia) modification on glycans, which is associated with cell stemness. Our findings revealed that MiaPaCa2 cells exhibited significantly higher levels of α2-6Sia modification, correlating with enhanced reproductive capabilities, whereas HeLa cells showed less prevalence of this modification. To accommodate the in vivo variability of α2-6Sia levels, we employed a cell fate simulation algorithm that digitally generates cell populations based on our observed data while varying the level of sialylation, thereby simulating cell growth patterns. Subsequently, we performed a 3D TME simulation with these deduced cell populations, considering the microenvironment that could impact cancer cell growth. Immune cell landscape information derived from 193 cervical and 172 pancreatic cancer cases was used to estimate the degree of the positive or negative impact. Our analysis suggests that the deduced cells generated based on the characteristics of MiaPaCa2 cells are less influenced by the immune cell landscape within the TME compared to those of HeLa cells, highlighting that the fate of cancer cells is shaped by both the surrounding immune landscape and the intrinsic characteristics of the cancer cells.
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Live cell imaging is essential for obtaining spatial and temporal insights into dynamic molecular events within heterogeneous individual cells, in situ intracellular networks, and in vivo organisms. Molecular tracking in live cells is also a critical and general requirement for studying dynamic physiological processes in cell biology, cancer, developmental biology, and neuroscience. Alongside this context, this review provides a comprehensive overview of recent research progress in live-cell imaging of RNAs, DNAs, proteins, and small-molecule metabolites, as well as their applications in molecular diagnosis, immunodiagnosis, and biochemical diagnosis. A series of advanced live-cell imaging techniques have been introduced and summarized, including high-precision live-cell imaging, high-resolution imaging, low-abundance imaging, multidimensional imaging, multipath imaging, rapid imaging, and computationally driven live-cell imaging methods, all of which offer valuable insights for disease prevention, diagnosis, and treatment. This review article also addresses the current challenges, potential solutions, and future development prospects in this field.
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During embryogenesis, human hematopoietic stem cells (HSCs) first emerge in the aorta-gonad-mesonephros (AGM) region via transformation of specialized hemogenic endothelial (HE) cells into premature HSC precursors. This process is termed endothelial-to-hematopoietic transition (EHT), in which the HE cells undergo drastic functional and morphological changes from flat, anchorage-dependent endothelial cells to free-floating round hematopoietic cells. Despite its essential role in human HSC development, molecular mechanisms underlying the EHT are largely unknown. This is due to lack of methods to visualize the emergence of human HSC precursors in real time in contrast to mouse and other model organisms. In this study, by inducing HE from human pluripotent stem cells in feeder-free monolayer cultures, we achieved real-time observation of the human EHT in vitro. By continuous observation and single-cell tracking in the culture, it was possible to visualize a process that a single endothelial cell gives rise to a hematopoietic cell and subsequently form a hematopoietic-cell cluster. The EHT was also confirmed by a drastic HE-to-HSC switching in molecular marker expressions. Notably, HSC precursor emergence was not linked to asymmetric cell division, whereas the hematopoietic cell cluster was formed through proliferation and assembling of the floating cells after the EHT. These results reveal unappreciated dynamics in the human EHT, and we anticipate that our human EHT model in vitro will provide an opportunity to improve our understanding of the human HSC development.
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Selective autophagy of protein aggregates, called aggrephagy, is vital for maintaining cellular homeostasis. Classically, studying aggrephagy has been challenging due to the infrequent occurrence of autophagic events and the lack of control over the specificity and timing of protein aggregation. We previously reported two variants of a PIM (particles induced by multimerization) assay that enable the formation of chemically induced, fluorescently labeled protein aggregates in cells. PIMs are recognized by the selective autophagy machinery and are subsequently degraded in the lysosome. By making use of pH-sensitive fluorescent proteins, such as GFP or mKeima, the PIM assay allows for direct visualization of aggregate clearance in cells. Here, we describe a protocol for the use of the PIM assay to study aggrephagy in live and fixed cells.
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Autofagia , Agregado de Proteínas , Humanos , Multimerización de Proteína , Lisosomas/metabolismo , Proteínas Fluorescentes Verdes/metabolismo , Proteínas Fluorescentes Verdes/genéticaRESUMEN
The purpose of this protocol is to provide a comprehensive, stepwise guide for assessing mitophagy flux utilizing a live-cell mt-KEIMA approach. The proposed protocol is sensitive, reproducible, quantitative, and easy to perform. While mitophagy has been extensively studied, current methodologies primarily focus on terminal measurements, neglecting the dynamic aspect of this process. Hence, the introduction of this straightforward live-cell mitophagy tracing protocol enables real-time monitoring of the dynamics of mitochondrial selective autophagy, thereby enhancing the ability to draw conclusions regarding key regulators and the reversibility of the process. The assay employs a lentiviral approach to induce mt-KEIMA expression in primary or immortalized cell lines. Subsequently, the respective mitophagy reporter cells are observed using a live-cell imaging system at specific time intervals, and further quantification allows the detection of mitophagy flux. This protocol has proven efficacious in investigating mitophagy flux, including responses to chemical inducers or genetically modified cells over time. Notably, this approach is well-suited for large throughput screening of chemicals or appropriate gene-editing libraries that may influence mitophagy responses in cells.
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Mitocondrias , Mitofagia , Humanos , Mitocondrias/metabolismo , Línea Celular , Lentivirus/genéticaRESUMEN
Introduction: Human Cytomegalovirus (HCMV) is a betaherpesvirus that causes severe disease in immunocompromised transplant recipients. Immunotherapy with CD8 T cells specific for HCMV antigens presented on HLA class-I molecules is explored as strategy for long-term relief to such patients, but the antiviral effectiveness of T cell preparations cannot be efficiently predicted by available methods. Methods: We developed an Assay for Rapid Measurement of Antiviral T-cell Activity (ARMATA) by real-time automated fluorescent microscopy and used it to study the ability of CD8 T cells to neutralize HCMV and control its spread. As a proof of principle, we used TCR-transgenic T cells specific for the immunodominant HLA-A02-restricted tegumental phosphoprotein pp65. pp65 expression follows an early/late kinetic, but it is not clear at which stage of the virus cycle it acts as an antigen. We measured control of HCMV infection by T cells as early as 6 hours post infection (hpi). Results: The timing of the antigen recognition indicated that it occurred before the late phase of the virus cycle, but also that virion-associated pp65 was not recognized during virus entry into cells. Monitoring of pp65 gene expression dynamics by reporter fluorescent genes revealed that pp65 was detectable as early as 6 hpi, and that a second and much larger bout of expression occurs in the late phase of the virus cycle by 48 hpi. Since transgenic (Tg)-pp65 specific CD8 T cells were activated even when DNA replication was blocked, our data argue that pp65 acts as an early virus gene for immunological purposes. Discussion: ARMATA does not only allow same day identification of antiviral T-cell activity, but also provides a method to define the timing of antigen recognition in the context of HCMV infection.
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Linfocitos T CD8-positivos , Infecciones por Citomegalovirus , Citomegalovirus , Fosfoproteínas , Proteínas de la Matriz Viral , Linfocitos T CD8-positivos/inmunología , Citomegalovirus/inmunología , Citomegalovirus/genética , Fosfoproteínas/inmunología , Fosfoproteínas/genética , Humanos , Proteínas de la Matriz Viral/inmunología , Proteínas de la Matriz Viral/genética , Infecciones por Citomegalovirus/inmunología , Infecciones por Citomegalovirus/virología , Regulación Viral de la Expresión Génica , Antígenos Virales/inmunología , Antígeno HLA-A2/inmunología , Antígeno HLA-A2/genéticaRESUMEN
Understanding the spatial organization of genomes within chromatin is crucial for deciphering gene regulation. A recently developed CRISPR-dCas9-based genome labeling tool, known as CRISPR-FISH, allows efficient labelling of repetitive sequences. Unlike standard fluorescence in situ hybridization (FISH), CRISPR-FISH eliminates the need for global DNA denaturation, allowing for superior preservation of chromatin structure. Here, we report on the further development of the CRISPR-FISH method, which has been enhanced for increased efficiency through the engineering of a recombinant dCas9 protein containing an ALFA-tag. Using an ALFA-tagged dCas9 protein assembled with an A. thaliana centromere-specific gRNA, we demonstrate target-specific labelling with a fluorescence-labeled NbALFA nanobody. The dCas9 protein possessing multiple copies of the ALFA-tag, in combination with a minibody and fluorescence-labelled anti-rabbit secondary antibody, resulted in enhanced target-specific signals. The dCas9-ALFA-tag system was also instrumental in live cell imaging of telomeres in N. benthamiana. This method will further expand the CRISPR imaging toolkit, facilitating a better understanding of genome organization. Furthermore, we report the successful integration of the highly sensitive Tyramide Signal Amplification (TSA) method with CRISPR-FISH, demonstrating effective labeling of A. thaliana centromeres.
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RNA polymerase II (RNA Pol II)-mediated transcription is a critical, highly regulated process aided by protein complexes at distinct steps. Here, to investigate RNA Pol II and transcription-factor-binding and dissociation dynamics, we generated endogenous photoactivatable-GFP (PA-GFP) and HaloTag knockins using CRISPR-Cas9, allowing us to track a population of molecules at the induced Hsp70 loci in Drosophila melanogaster polytene chromosomes. We found that early in the heat-shock response, little RNA Pol II and DRB sensitivity-inducing factor (DSIF) are reused for iterative rounds of transcription. Surprisingly, although PAF1 and Spt6 are found throughout the gene body by chromatin immunoprecipitation (ChIP) assays, they show markedly different binding behaviors. Additionally, we found that PAF1 and Spt6 are only recruited after positive transcription elongation factor (P-TEFb)-mediated phosphorylation and RNA Pol II promoter-proximal pause escape. Finally, we observed that PAF1 may be expendable for transcription of highly expressed genes where nucleosome density is low. Thus, our live-cell imaging data provide key constraints to mechanistic models of transcription regulation.
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Proteínas de Drosophila , Drosophila melanogaster , ARN Polimerasa II , Transcripción Genética , Factores de Elongación Transcripcional , ARN Polimerasa II/metabolismo , ARN Polimerasa II/genética , Animales , Drosophila melanogaster/genética , Drosophila melanogaster/metabolismo , Proteínas de Drosophila/genética , Proteínas de Drosophila/metabolismo , Factores de Elongación Transcripcional/metabolismo , Factores de Elongación Transcripcional/genética , Proteínas HSP70 de Choque Térmico/metabolismo , Proteínas HSP70 de Choque Térmico/genética , Factor B de Elongación Transcripcional Positiva/metabolismo , Factor B de Elongación Transcripcional Positiva/genética , Regiones Promotoras Genéticas , Sistemas CRISPR-Cas , Factores de Transcripción/metabolismo , Factores de Transcripción/genética , Cromosomas Politénicos/genética , Cromosomas Politénicos/metabolismo , Regulación de la Expresión Génica , Fosforilación , Unión Proteica , Respuesta al Choque Térmico/genética , Proteínas Nucleares/metabolismo , Proteínas Nucleares/genética , Nucleosomas/metabolismo , Nucleosomas/genéticaRESUMEN
For over a century, major advances in understanding meiosis have come from the use of microscopy-based methods. Studies using the budding yeast, Saccharomyces cerevisiae, have made important contributions to our understanding of meiosis because of the facility with which budding yeast can be manipulated as a genetic model organism. In contrast, imaging-based approaches with budding yeast have been constrained by the small size of its chromosomes. The advent of advances in fluorescent chromosome tagging techniques has made it possible to use yeast more effectively for imaging-based approaches as well. This protocol describes live cell imaging methods that can be used to monitor chromosome movements throughout meiosis in living yeast cells.
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Meiosis , Saccharomyces cerevisiae , Saccharomyces cerevisiae/genética , Saccharomyces cerevisiae/citología , Cromosomas Fúngicos/genética , Microscopía Fluorescente/métodos , Saccharomycetales/genética , Saccharomycetales/citologíaRESUMEN
The ability to screen for agents that can promote the development and/or maintenance of neuronal networks creates opportunities for the discovery of novel agents for the treatment of central nervous system (CNS) disorders. Over the past 10 years, advances in robotics, artificial intelligence, and machine learning have paved the way for the improved implementation of live-cell imaging systems for drug discovery. These instruments have revolutionized our ability to quickly and accurately acquire large standardized datasets when studying complex cellular phenomena in real-time. This is particularly useful in the field of neuroscience because real-time analysis can allow efficient monitoring of the development, maturation, and conservation of neuronal networks by measuring neurite length. Unfortunately, due to the relative infancy of this type of analysis, standard practices for data acquisition and processing are lacking, and there is no standardized format for reporting the vast quantities of data generated by live-cell imaging systems. This paper reviews the current state of live-cell imaging instruments, with a focus on the most commonly used equipment (IncuCyte systems). We provide an in-depth analysis of the experimental conditions reported in publications utilizing these systems, particularly with regard to studying neurite outgrowth. This analysis sheds light on trends and patterns that will enhance the use of live-cell imaging instruments in CNS drug discovery.
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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.
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Arabidopsis , Autofagosomas , Autofagia , Células Vegetales , Autofagosomas/metabolismo , Autofagosomas/ultraestructura , Arabidopsis/metabolismo , Arabidopsis/ultraestructura , Autofagia/fisiología , Células Vegetales/metabolismo , Células Vegetales/ultraestructura , Imagen de Lapso de Tiempo/métodos , Fagosomas/metabolismo , Fagosomas/ultraestructura , Microscopía Electrónica/métodosRESUMEN
The pistil is the most important organ for fertilization in flowering plants, and the stigmatic papilla cells are responsible for pollen acceptance and pollen tube germination. Arabidopsis plants possess dry stigmas exhibiting high selectivity for compatible pollen. When compatible pollens are recognized and accepted by stigmatic papilla cells, water and nutrients are then transported from the stigma to pollen grains through the secretory pathway. Here, we present light microscopy-based methods for investigating autophagy and senescence of stigmatic papilla cells. These methods include the assessment of viability of stigmatic papilla cells using dual staining with fluorescein diacetate/propidium iodide, as well as the examination of vacuolar-accumulated proteins during stigma senescence. These methods can be used to understand the functions of the stigma tissue from a subcellular perspective.