58 research outputs found

    Experience-dependent structural plasticity at pre- and postsynaptic sites of layer 2/3 cells in developing visual cortex

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    The developing brain can respond quickly to altered sensory experience by circuit reorganization. During a critical period in early life, neurons in the primary visual cortex rapidly lose responsiveness to an occluded eye and come to respond better to the open eye. While physiological and some of the molecular mechanisms of this process have been characterized, its structural basis, except for the well-known changes in the thalamocortical projection, remains obscure. To elucidate the relationship between synaptic remodeling and functional changes during this experience-dependent process, we used 2-photon microscopy to image synaptic structures of sparsely labeled layer 2/3 neurons in the binocular zone of mouse primary visual cortex. Anatomical changes at presynaptic and postsynaptic sites in mice undergoing monocular visual deprivation (MD) were compared to those in control mice with normal visual experience. We found that postsynaptic spines remodeled quickly in response to MD, with neurons more strongly dominated by the deprived eye losing more spines. These postsynaptic changes parallel changes in visual responses during MD and their recovery after restoration of binocular vision. In control animals with normal visual experience, the formation of presynaptic boutons increased during the critical period and then declined. MD affected bouton formation, but with a delay, blocking it after 3 d. These findings reveal intracortical anatomical changes in cellular layers of the cortex that can account for rapid activity-dependent plasticity

    Dense 4D nanoscale reconstruction of living brain tissue

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    Three-dimensional (3D) reconstruction of living brain tissue down to an individual synapse level would create opportunities for decoding the dynamics and structureโ€“function relationships of the brainโ€™s complex and dense information processing network; however, this has been hindered by insufficient 3D resolution, inadequate signal-to-noise ratio and prohibitive light burden in optical imaging, whereas electron microscopy is inherently static. Here we solved these challenges by developing an integrated optical/machine-learning technology, LIONESS (live information-optimized nanoscopy enabling saturated segmentation). This leverages optical modifications to stimulated emission depletion microscopy in comprehensively, extracellularly labeled tissue and previous information on sample structure via machine learning to simultaneously achieve isotropic super-resolution, high signal-to-noise ratio and compatibility with living tissue. This allows dense deep-learning-based instance segmentation and 3D reconstruction at a synapse level, incorporating molecular, activity and morphodynamic information. LIONESS opens up avenues for studying the dynamic functional (nano-)architecture of living brain tissue

    A window on the ageing brain : Imaging synapses and their dynamics in vivo

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    The ageing process has an enormous impact on the human body and it represents a major risk factor for a number of diseases. Ageing is also associated with a progressive cognitive decline mainly involving the memory domain. Up to date many studies have investigated the structural and functional changes that occur in the ageing brain. Rather than neuronal loss, it is now widely accepted that synaptic impairments underlie the decreased cognitive performance. Such studies point to reduced synaptic density and plasticity, in specific brain regions, during ageing. However, most studies so far made use of either post-mortem or ex vivo preparations. Thus, the key question addressed in this thesis is to what extent synaptic elements are dynamic in the intact aged brain. A combination of in vivo two-photon imaging, correlated two-photon-electron microscopy and novel computational tools was used to study synaptic boutons in the aged mouse somatosensory cortex. Unexpectedly, circuit-specific increased rates of bouton formation, elimination, and destabilization were found. Age related increased dynamics greatly affected large (i.e., strong) boutons, thought to encode long-term memory, as opposed to smaller ones. The rigorous measurement of the size and location of axonal boutons, achieved for the first time in vivo, showed that while the average density and size of boutons was not affected by ageing, bouton size changes were greater in the aged animals. Such increased size fluctuations were again confined to larger, persistent boutons., Long-term memory impairment, as assessed in a novel behavioural task, was therefore associated with increased, rather than decreased, synaptic destabilization and dynamics, suggesting the existence of a novel mechanism underlying age related cognitive decline.Open Acces

    Enabling Scalable Neurocartography: Images to Graphs for Discovery

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    In recent years, advances in technology have enabled researchers to ask new questions predicated on the collection and analysis of big datasets that were previously too large to study. More specifically, many fundamental questions in neuroscience require studying brain tissue at a large scale to discover emergent properties of neural computation, consciousness, and etiologies of brain disorders. A major challenge is to construct larger, more detailed maps (e.g., structural wiring diagrams) of the brain, known as connectomes. Although raw data exist, obstacles remain in both algorithm development and scalable image analysis to enable access to the knowledge within these data volumes. This dissertation develops, combines and tests state-of-the-art algorithms to estimate graphs and glean other knowledge across six orders of magnitude, from millimeter-scale magnetic resonance imaging to nanometer-scale electron microscopy. This work enables scientific discovery across the community and contributes to the tools and services offered by NeuroData and the Open Connectome Project. Contributions include creating, optimizing and evaluating the first known fully-automated brain graphs in electron microscopy data and magnetic resonance imaging data; pioneering approaches to generate knowledge from X-Ray tomography imaging; and identifying and solving a variety of image analysis challenges associated with building graphs suitable for discovery. These methods were applied across diverse datasets to answer questions at scales not previously explored

    Three-dimensional reengineering of neuronal microcircuits : The cortical column in silico

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    The presented thesis will describe a pipeline to reengineer three-dimensional, anatomically realistic, functional neuronal networks with subcellular resolution. The pipeline consists of five methods: 1. "NeuroCount" provides the number and three-dimensional distribution of all neuron somata in large brain regions. 2. "NeuroMorph" provides authentic neuron tracings, comprising dendrite and axon morphology. 3. "daVinci" registers the neuron morphologies to a standardized reference framework. 4. "NeuroCluster" objectively groups the standardized tracings into anatomical neuron types. 5. "NeuroNet" combines the number and distribution of neurons and neuron-types with the standardized tracings and determines the neuron-type- and position-specific number of synaptic connections for any two types of neuron. The developed methods are demonstrated by reengineering the thalamocortical lemniscal microcircuit in the somatosensory system of rats. There exists an one-to-one correspondence between the sensory information obtained by a single facial whisker and segregated areas in the thalamus and cortex. The reengineering of this pathway results in a column-shaped network model of ~15200 excitatory full-compartmental cortical neurons. This network is synaptically connected to ~285 pre-synaptic thalamic neurons. Animation of this "cortical column in silico" with measured physiological input will help to gain a mechanistic understanding of neuronal sensory information processing in the mammalian brain

    Towards a comprehensive understanding of brain machinery by correlative microscopy.

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    Unraveling the complexity of brain structure and function is the biggest challenge of contemporary science. Due to their flexibility, optical techniques are the key to exploring this intricate network. However, a single imaging technique can reveal only a small part of this machinery due to its inherent multilevel organization. To obtain a more comprehensive view of brain functionality, complementary approaches have been combined. For instance, brain activity was monitored simultaneously on different spatiotemporal scales with functional magnetic resonance imaging and calcium imaging. On the other hand, dynamic information on the structural plasticity of neuronal networks has been contextualized in a wider framework combining two-photon and light-sheet microscopy. Finally, synaptic features have been revealed on previously in vivo imaged samples by correlative light-electron microscopy. Although these approaches have revealed important features of brain machinery, they provided small bridges between specific spatiotemporal scales, lacking an omni-comprehensive view. In this perspective, we briefly review the state of the art of correlative techniques and propose a wider methodological framework fusing multiple levels of brain investigation

    Connectomic analysis of the input to the principal cells of the mammalian cerebral cortex

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    Pharmacological BACE1 inhibitor treatment during early progression of ฮฒ-amyloid pathology maximizes therapeutic efficacy

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    Alzheimerโ€™s disease (AD) is a chronic neurodegenerative disease of the central nervous system (CNS) characterized by progressive cognitive decline. AD is the most common cause of all dementia cases worldwide, and as a result of demographic aging the number of affected individuals grows at an alarming rate. The amyloid hypothesis of Alzheimerโ€™s disease (AD) emphasizes amyloid-ฮฒ peptide (Aฮฒ) as primary cause of the disease, with toxic effects on synapses leading to cognitive decline and memory impairments. Beta site amyloid precursor protein cleaving enzyme 1 (BACE1) as the rate-limiting enzyme of amyloidogenic processing of amyloid precursor protein (APP), is one of the prime drug targets for the treatment of AD. However, despite the development of potent and selective small-molecule BACE1 inhibitors, so far all human clinical trials have failed to rescue the cognitive decline in AD patients. Recent findings indicate that treatment has to be commenced before AD symptoms arise, since in symptomatic patients ฮฒ amyloid deposition has already reached a plateau. Moreover, several studies have described dose-dependent adverse effects in animal models. Therefore, it is a central requirement to develop a treatment strategy that is therapeutically effective and at the same time avoids excessive interference with physiological function of BACE1. In this study, transgenic AD mice were treated at an early stage of ฮฒ amyloid pathology with the potent, blood brain barrier penetrating BACE1 inhibitor NB-360. Longitudinal in vivo two-photon imaging was performed to repeatedly monitor individual amyloid plaques, presynaptic boutons and axonal dystrophies in living mice. In APPPS1 mice pharmacological BACE1 inhibition fails to revert but significantly reduces the progressive amyloid deposition and mitigates presynaptic pathology. Notably, the data show that plaque seed formation, rather than the subsequent phase of gradual plaque growth, is most sensitive to BACE1 inhibition. These results imply, that preventive BACE1 inhibitor treatment is required to achieve therapeutic efficacy. For clinical therapy, to exploit the particular susceptibility of plaque formation to BACE1 inhibition, a dosage has to be empirically determined that effectively halts formation of new plaques rather than aiming at halting plaque growth. This strategy might optimally balance potential mechanism-based adverse effects and efficacious reduction of ฮฒ amyloid deposition.Morbus Alzheimer ist eine chronische neurodegenerative Erkrankung des zentralen Nervensystems und รคuรŸert sich in progressivem Verlust kognitiver Funktionen und Gedรคchtnisleistung. Die Erkrankung ist die weltweit hรคufigste Ursache fรผr Demenz und aufgrund demografischer Alterung in den Industrieยฌlรคndern, nimmt die Zahl der Alzheimer Patienten stetig zu. Der Amyloid-Kaskaden-Hypothese zufolge, wird die Alzheimer Erkrankung durch pathologische Akkumulation und Aggregation des Aฮฒ-Peptids (Aฮฒ) ausgelรถst. Aฮฒ wird durch sequentielle enzymatische Spaltung des Amyloid-Vorlรคufer-proteins APP produziert. Die ฮฒ-Sekretase BACE1 initiiert den ersten Schritt dieses sogenannten amyloiden Prozessierungswegs und ist somit eines der aussichtsreichsten Wirkstoffziele zur Senkung des Aฮฒ-Spiegels. Im Verlauf der letzten Jahre wurden sehr wirksame und zugleich selektive BACE1 Inhibitoren hergestellt, doch bislang sind klinische Studien daran gescheitert, den progressiven Gedรคchtnisverlust aufzuhalten. Neueste Erkenntnisse weisen darauf hin, dass die Behandlung bereits vor dem Auftreten der ersten Symptome begonnen werden muss, da in symptomatischen Patienten die Ablagerung von Aฮฒ in den meisten Fรคllen bereits abgeschlossen ist. Hinzu kommt, dass in den letzten Jahren vermehrt negative Begleiterscheinungen der Behandlung mit BACE1 Inhibitoren in Mรคusen bekannt geworden sind. Die entscheidende Herausforderung ist somit, eine Behandlungsstrategie zu entwickeln, welche einerseits die physiologische Funktion von BACE1 nicht zu stark beeintrรคchtigt, aber zugleich therapeutische Effizienz gewรคhrleistet. In der vorliegenden Studie wurden transgene Alzheimer Mรคuse in einem frรผhen Stadium der ฮฒ amyloiden Pathologie mit dem potenten BACE1 Inhibitor NB-360 behandelt. Mittels chronischer in vivo Mikroskopie konnten einzelne ฮฒ amyloide Plaques, prรคsynaptische Boutons und axonale Dystrophien in lebenden Mรคusen verfolgt werden. Die Behandlung erbrachte zwar keinen Rรผckgang der Aฮฒ Ablagerung, konnte jedoch deren Fortschreiten verringern, sowie die progressive axonale Pathologie abschwรคchen. Insbesondere zeigten unsere Daten, dass die BACE1 Inhibitor Behandlung einen wesentlich grรถรŸeren Einfluss auf die Bildung neuer ฮฒ amyloider Plaques, als auf deren Wachstum hatte. Diese Ergebnisse weisen darauf hin, dass die Behandlung mit BACE1 Inhibitoren prรคventiv erfolgen muss. Fรผr die klinische Anwendung kรถnnte man sich die besondere Anfรคlligkeit der Neubildung von Plaques zu Nutze machen und รผber empirische Versuche einen Dosisbereich bestimmen, welcher ausreicht, die Neubildung von Plaques zu unterdrรผcken. Diese Strategie kรถnnte zu einer ausgewogenen Behandlung fรผhren, welche die progressive Aฮฒ Ablagerung verzรถgert und gleichermaรŸen das Auftreten von Nebenwirkungen verhindert

    ์‚ด์•„์žˆ๋Š” ๋‰ด๋Ÿฐ๊ณผ ๋™๋ฌผ์—์„œ mRNA ๊ด€์ฐฐ์— ๋Œ€ํ•œ ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ์ž์—ฐ๊ณผํ•™๋Œ€ํ•™ ๋ฌผ๋ฆฌยท์ฒœ๋ฌธํ•™๋ถ€(๋ฌผ๋ฆฌํ•™์ „๊ณต), 2021.8. ์ด๋ณ‘ํ›ˆ.mRNA๋Š” ์œ ์ „์ž ๋ฐœํ˜„์˜ ์ฒซ๋ฒˆ์งธ ์‚ฐ๋ฌผ์ด๋ฉด์„œ, ๋ฆฌ๋ณด์†œ๊ณผ ํ•จ๊ป˜ ๋‹จ๋ฐฑ์งˆ์„ ํ•ฉ์„ฑํ•œ๋‹ค. ํŠนํžˆ ๋‰ด๋Ÿฐ์—์„œ, ๋ช‡๋ช‡ RNA๋“ค์€ ์ž๊ทน์— ์˜ํ•ด ๋งŒ๋“ค์–ด์ง€๊ณ , ๋‰ด๋Ÿฐ์˜ ํŠน์ • ๋ถ€๋ถ„์œผ๋กœ ์ˆ˜์†ก๋˜์–ด ๊ตญ์†Œ์ ์œผ๋กœ ๋‹จ๋ฐฑ์งˆ ์–‘์„ ์กฐ์ ˆํ•  ์ˆ˜ ์žˆ๊ฒŒ ํ•œ๋‹ค. ์ตœ๊ทผ mRNA ํ‘œ์ง€ ๊ธฐ์ˆ ์˜ ๋ฐœ์ „์œผ๋กœ ์‚ด์•„์žˆ๋Š” ์„ธํฌ์—์„œ ๋‹จ์ผ mRNA๋ฅผ ๊ด€์ฐฐํ•˜๋Š” ๊ฒƒ์ด ๊ฐ€๋Šฅํ•ด์กŒ๋‹ค. ์ด ์—ฐ๊ตฌ์—์„œ, ์šฐ๋ฆฌ๋Š” RNA ์ด๋ฏธ์ง• ๊ธฐ์ˆ ์„ ์ด์šฉํ•ด, ๊ธฐ์–ต ํ˜•์„ฑ๊ณผ ์ƒ๊ธฐํ•  ๋•Œ ํ™œ์„ฑํ™”๋œ ๋‰ด๋Ÿฐ์˜ ์ง‘ํ•ฉ์„ ์ฐพ๋Š” ๊ฒƒ ๋ฟ ์•„๋‹ˆ๋ผ, ๋‰ด๋Ÿฐ์˜ ์ถ•์‚ญ๋Œ๊ธฐ์—์„œ mRNA๊ฐ€ ์–ด๋–ป๊ฒŒ ์ˆ˜์†ก๋˜๋Š”์ง€๋ฅผ ๊ด€์ฐฐํ–ˆ๋‹ค. ์ด ๋…ผ๋ฌธ์˜ ์ฒซ ๋ถ€๋ถ„์—์„œ ์šฐ๋ฆฌ๋Š” ์‹ ๊ฒฝ ์ž๊ทน์— ๋ฐ˜์‘ํ•ด์„œ ๋งŒ๋“ค์–ด์ง€๋Š” ๊ฒƒ์œผ๋กœ ์•Œ๋ ค์ง„, Arc ์œ ์ „์ž์˜ ์ „์‚ฌ๋ฅผ ๊ด€์ฐฐํ•˜์˜€๋‹ค. ๊ธฐ์–ต์€ engram ํ˜น์€ ๊ธฐ์–ต ํ”์  (memory trace)๋ผ๊ณ  ๋ถˆ๋ฆฌ๋Š” ๋‰ด๋Ÿฐ๋“ค์˜ ์ง‘ํ•ฉ์— ์ €์žฅ๋˜์–ด ์žˆ๋‹ค๊ณ  ์ƒ๊ฐ๋œ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜, ์‹œ๊ฐ„์— ๋”ฐ๋ผ์„œ ์ด๋Ÿฐ ๊ธฐ์–ต ํ”์ ์„ธํฌ๋“ค์˜ ์ง‘ํ•ฉ์ด ์–ด๋–ป๊ฒŒ ๋ณ€ํ•˜๊ณ , ๋ณ€ํ™”ํ•˜๋ฉด์„œ๋„ ์–ด๋–ป๊ฒŒ ์ •๋ณด๋ฅผ ์œ ์ง€ํ•  ์ˆ˜ ์žˆ๋Š”์ง€ ์ž˜ ์•Œ๋ ค์ ธ ์žˆ์ง€ ์•Š๋‹ค. ๋˜ํ•œ, ์‚ด์•„์žˆ๋Š” ๋™๋ฌผ์—์„œ, ๊ธฐ์–ต ํ”์ ์„ธํฌ๋ฅผ ๊ธด ์‹œ๊ฐ„ ๋™์•ˆ ์—ฌ๋Ÿฌ ๋ฒˆ ์ฐพ์•„๋‚ด๋Š” ๊ฒƒ์€ ์–ด๋ ค์šด ์ผ์ด์—ˆ๋‹ค. ์ด ์—ฐ๊ตฌ์—์„œ๋Š” genetically-encoded RNA indicator (GERI) ๊ธฐ์ˆ ์„ ์‚ฌ์šฉํ•ด, ๊ธฐ์–ต ํ”์ ์„ธํฌ์˜ ํ‘œ์‹์œผ๋กœ ๋„๋ฆฌ ์‚ฌ์šฉ๋˜๋Š” Arc mRNA์˜ ์ „์‚ฌ๊ณผ์ •์„ ์‚ด์•„์žˆ๋Š” ์ฅ์—์„œ ๊ด€์ฐฐํ•˜์˜€๋‹ค. GERI๋ฅผ ์ด์šฉํ•จ์œผ๋กœ์จ, ๊ธฐ์กด ๋ฐฉ๋ฒ•๋“ค์˜ ํ•œ๊ณ„์ ์ด์—ˆ๋˜ ์‹œ๊ฐ„ ์ œ์•ฝ ์—†์ด, ์‹ค์‹œ๊ฐ„์œผ๋กœ Arc๋ฅผ ๋ฐœํ˜„ํ•˜๋Š” ๋‰ด๋Ÿฐ๋“ค์„ ์ฐพ์•„๋‚ผ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์ฅ์—๊ฒŒ ๊ณต๊ฐ„ ๊ณตํฌ ๊ธฐ์–ต์„ ์ฃผ๊ณ  ๋‚˜์„œ ์—ฌ๋Ÿฌ ๋ฒˆ ๊ธฐ์–ต์„ ์ƒ๊ธฐ์‹œํ‚ค๋Š” ํ–‰๋™์‹คํ—˜ ํ›„์— Arc๋ฅผ ๋ฐœํ˜„ํ•˜๋Š” ์„ธํฌ๋ฅผ ์‹๋ณ„ํ–ˆ์„ ๋•Œ, CA1์—์„œ๋Š” Arc๋ฅผ ๋ฐœํ˜„ํ•˜๋Š” ์„ธํฌ๊ฐ€ ์ดํ‹€ ํ›„์—๋Š” ๋” ์ด์ƒ ํ™œ์„ฑํ™”๋˜์ง€ ์•Š์•˜์œผ๋‚˜, RSC์˜ ๊ฒฝ์šฐ 4ํผ์„ผํŠธ์˜ ๋‰ด๋Ÿฐ๋“ค์ด ๊ณ„์†ํ•ด์„œ ํ™œ์„ฑํ™”ํ•˜๋Š” ๊ฒƒ์„ ๊ด€์ฐฐํ–ˆ๋‹ค. ์‹ ๊ฒฝํ™œ๋™๊ณผ ์œ ์ „์ž ๋ฐœํ˜„์„ ๊ฐ™์ด ์กฐ์‚ฌํ•˜๊ธฐ ์œ„ํ•ด, ์ฅ๊ฐ€ ๊ฐ€์ƒ ํ™˜๊ฒฝ์„ ํƒํ—˜ํ•˜๊ณ  ์žˆ์„ ๋•Œ GERI์™€ ์นผ์Š˜ ์ด๋ฏธ์ง•์„ ๋™์‹œ์— ์ง„ํ–‰ํ•˜์˜€๋‹ค. ๊ทธ ๊ฒฐ๊ณผ, ๊ธฐ์–ต์„ ํ˜•์„ฑํ•  ๋•Œ์™€ ์ƒ๊ธฐ์‹œํ‚ฌ ๋•Œ Arc๋ฅผ ๋ฐœํ˜„ํ–ˆ๋˜ ๋‰ด๋Ÿฐ๋“ค์ด ๊ธฐ์–ต์„ ํ‘œ์ƒํ•˜๋Š” ๊ฒƒ์„ ์•Œ์•„๋‚ผ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์ด์ฒ˜๋Ÿผ GERI ๊ธฐ์ˆ ์„ ์ด์šฉํ•ด ์‚ด์•„์žˆ๋Š” ๋™๋ฌผ์—์„œ ์œ ์ „์ž ๋ฐœํ˜„๋œ ์„ธํฌ๋ฅผ ์ฐพ์•„๋‚ด๋Š” ๋ฐฉ์‹์€ ๋‹ค์–‘ํ•œ ํ•™์Šต ๋ฐ ๊ธฐ์–ต ๊ณผ์ •์—์„œ ๊ธฐ์–ต ํ”์ ์„ธํฌ์˜ dynamics์— ๋Œ€ํ•ด ์•Œ์•„๋‚ผ ์ˆ˜ ์žˆ์„ ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€๋œ๋‹ค. ์ด ๋…ผ๋ฌธ์˜ ๋‘๋ฒˆ์งธ ๋ถ€๋ถ„์—์„œ, ์šฐ๋ฆฌ๋Š” ์„ธํฌ ๊ณจ๊ฒฉ์˜ ๊ธฐ๋ณธ ๊ตฌ์„ฑ ๋‹จ์œ„๊ฐ€ ๋˜๋Š” ฮฒ-actin์˜ mRNA๋ฅผ ์ถ•์‚ญ๋Œ๊ธฐ์—์„œ ๊ด€์ฐฐํ•˜์˜€๋‹ค. mRNA์˜ ๊ตญ์†Œํ™” (localization)๋ฅผ ํ†ตํ•œ ๊ตญ์†Œ ๋‹จ๋ฐฑ์งˆ ํ•ฉ์„ฑ์€ ์ถ•์‚ญ๋Œ๊ธฐ (axon)์˜ ์„ฑ์žฅ๊ณผ ์žฌ์ƒ์— ์ค‘์š”ํ•œ ์—ญํ• ์ด ์žˆ๋‹ค๊ณ  ์•Œ๋ ค์ ธ ์žˆ๋‹ค. ํ•˜์ง€๋งŒ, ์•„์ง mRNA์˜ ๊ตญ์†Œํ™”๊ฐ€ ์ถ•์‚ญ๋Œ๊ธฐ์—์„œ ์–ด๋–ป๊ฒŒ ์กฐ์ ˆ๋˜๊ณ  ์žˆ๋Š”์ง€ ์ž˜ ์•Œ๋ ค์ ธ ์žˆ์ง€ ์•Š๋‹ค. ์ด ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•ด์„œ, ์šฐ๋ฆฌ๋Š” ๋ชจ๋“  ฮฒ-actin mRNA๊ฐ€ ํ˜•๊ด‘์œผ๋กœ ํ‘œ์ง€๋œ ์œ ์ „์ž ๋ณ€ํ˜• ์ฅ๋ฅผ ์ด์šฉํ•ด, ์‚ด์•„์žˆ๋Š” ์ถ•์‚ญ๋Œ๊ธฐ์—์„œ ฮฒ-actin mRNA๋ฅผ ๊ด€์ฐฐํ•˜์˜€๋‹ค. ์ด ์ฅ์˜ ๋‰ด๋Ÿฐ์„ ์ถ•์‚ญ์„ ๊ตฌ๋ถ„ํ•ด ์ค„ ์ˆ˜ ์žˆ๋Š” ๋ฏธ์„ธ์œ ์ฒด ์žฅ์น˜ (microfluidic device)์— ๋ฐฐ์–‘ํ•œ ๋’ค์—, ฮฒ-actin mRNA๋ฅผ ๊ด€์ฐฐํ•˜๊ณ  ์ถ”์ ์„ ์ง„ํ–‰ํ–ˆ๋‹ค. ์ถ•์‚ญ์€ ์„ธํฌ ๋ชธํ†ต์œผ๋กœ๋ถ€ํ„ฐ ๊ธธ๊ฒŒ ์ž๋ผ๊ธฐ ๋•Œ๋ฌธ์— mRNA๊ฐ€ ๋จผ ๊ฑฐ๋ฆฌ๋ฅผ ์ˆ˜์†ก๋˜์–ด์•ผ ํ•จ์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ , ๋Œ€๋ถ€๋ถ„์˜ mRNA๊ฐ€ ์ˆ˜์ƒ๋Œ๊ธฐ์— ๋น„ํ•ด ๋œ ์›€์ง์ด๊ณ  ์ž‘์€ ์˜์—ญ์—์„œ ์›€์ง์ด๋Š” ๊ฒƒ์„ ๋ณด์•˜๋‹ค. ์šฐ๋ฆฌ๋Š” ฮฒ-actin mRNA๊ฐ€ ์ฃผ๋กœ ์ถ•์‚ญ๋Œ๊ธฐ์˜ ๊ฐ€์ง€๊ฐ€ ๋  ์ˆ˜ ์žˆ๋Š” filopodia ๊ทผ์ฒ˜์™€, ์‹œ๋ƒ…์Šค๊ฐ€ ๋งŒ๋“ค์–ด์ง€๋Š” bouton ๊ทผ์ฒ˜์— ๊ตญ์†Œํ™”๋˜๋Š” ๊ฒƒ์„ ๊ด€์ฐฐํ–ˆ๋‹ค. Filopodia์™€ bouton์ด actin์ด ํ’๋ถ€ํ•œ ๋ถ€๋ถ„์œผ๋กœ ์•Œ๋ ค์ ธ ์žˆ๊ธฐ ๋•Œ๋ฌธ์—, ์šฐ๋ฆฌ๋Š” ์•กํ‹ด ํ•„๋ผ๋ฉ˜ํŠธ์™€ ฮฒ-actin mRNA์˜ ์›€์ง์ž„๊ฐ„์— ์—ฐ๊ด€์„ฑ์„ ์กฐ์‚ฌํ–ˆ๋‹ค. ํฅ๋ฏธ๋กญ๊ฒŒ๋„, ์šฐ๋ฆฌ๋Š” ฮฒ-actin mRNA๊ฐ€ ์•กํ‹ด ํ•„๋ผ๋ฉ˜ํŠธ์™€ ๊ฐ™์ด ๊ตญ์†Œํ™” ๋˜๊ณ , ฮฒ-actin mRNA๊ฐ€ ์•กํ‹ด ํ•„๋ผ๋ฉ˜ํŠธ ์•ˆ์—์„œ sub-diffusiveํ•œ ์›€์ง์ž„์„ ๋ณด์˜€์œผ๋ฉฐ, ๋จผ ๊ฑฐ๋ฆฌ๋ฅผ ์›€์ง์ด๋˜ mRNA๋„ ์•กํ‹ด ํ•„๋ผ๋ฉ˜ํŠธ์— ๊ณ ์ •๋˜๋Š” ๋ชจ์Šต๋„ ํ™•์ธํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์ถ•์‚ญ์—์„œ ฮฒ-actin mRNA ์›€์ง์ž„์„ ๋ณธ ์ด๋ฒˆ ๊ด€์ฐฐ์€ mRNA ์ˆ˜์†ก ๋ฐ ๊ตญ์†Œํ™”์— ๋Œ€ํ•œ ์ƒ๋ฌผ๋ฌผ๋ฆฌํ•™ ์  ๋ฉ”์ปค๋‹ˆ์ฆ˜์˜ ๊ธฐ๋ฐ˜์ด ๋  ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๋‹ค.mRNA is the first product of the gene expression and facilitates the protein synthesis. Especially in neurons, some RNAs are transcribed in response to stimuli and transported to the specific region, altering local proteome for neurons to function normally. Recent advances of mRNA labeling techniques allowed us to observe the single mRNAs in live cells. In this thesis, we applied RNA imaging technique not only to identify the neuronal ensemble that activated during memory formation and retrieval, but also to traffic mRNAs transported to the axon. In the first part of the thesis, we observed the transcription site of Arc gene, one of the immediate-early gene, which is rapidly transcribed upon the neural stimuli. Because of the characteristic of expressing in response to stimuli, Arc is widely used as a marker for memory trace cells thought to store memories. However, little is known about the ensemble dynamics of these cells because it has been challenging to observe them repeatedly over long periods of time in vivo. To overcome this limitation, we present a genetically-encoded RNA indicator (GERI) technique for intravital chronic imaging of endogenous Arc mRNA. We used our GERI to identify Arc-positive neurons in real time without the time lag associated with reporter protein expression in conventional approaches. We found that Arc-positive neuronal populations rapidly turned over within two days in CA1, whereas ~4% of neurons in the retrosplenial cortex consistently expressed Arc upon contextual fear conditioning and repeated memory retrievals. Dual imaging of GERI and calcium indicator in CA1 of mice navigating a virtual reality environment revealed that only the overlapping population of neurons expressing Arc during encoding and retrieval exhibited relatively high calcium activity in a context-specific manner. This in vivo RNA imaging approach has potential to unravel the dynamics of engram cells underlying various learning and memory processes. In the second part of this thesis, we imaged ฮฒ-actin mRNAs, which can generate a cytoskeletal protein, ฮฒ-actin, through translation. Local protein synthesis has a critical role in axonal guidance and regeneration. Yet it is not clearly understood how the mRNA localization is regulated in axons. To address these questions, we investigated mRNA motion in live axons using a transgenic mouse that expresses fluorescently labeled endogenous ฮฒ-actin mRNA. By culturing hippocampal neurons in a microfluidic device that allows separation of axons from dendrites, we performed single particle tracking of ฮฒ-actin mRNA selectively in axons. Although axonal mRNAs need to travel a long distance, we observed that most axonal mRNAs show much less directed motion than dendritic mRNAs. We found that ฮฒ-actin mRNAs frequently localize at the neck of filopodia which can grow as axon collateral branches and at varicosities where synapses typically occur. Since both filopodia and varicosities are known as actin-rich areas, we investigated the dynamics of actin filaments and ฮฒ-actin mRNAs simultaneously by using high-speed dual-color imaging. We found that axonal mRNAs colocalize with actin filaments and show sub-diffusive motion within the actin-rich regions. The novel findings on the dynamics of ฮฒ-actin mRNA will shed important light on the biophysical mechanisms of mRNA transport and localization in axons.1. INTRODUCTION, 1 1.1. Neuronal ensemble, 1 1.2. Immediate-early Gene (IEG), 3 1.3. Methods for IEG-positive neurons, 3 1.4. Two-photon microscope, 5 1.5. References, 7 2. IMAGING ARC mRNA TRANSCRIPTION SITES IN LIVE MICE, 9 2.1. Introduction, 9 2.2. Materials and Methods, 10 2.3. Results and Discussion, 18 2.4. References, 26 3. NEURONS EXPRESSING ARC mRNA DURING REPEATED MEMORY RETRIEVALS, 28 3.1. Introduction, 28 3.2. Results and Discussion, 28 3.3. References, 35 4. NEURAL ACTIVITIES OF ARC+ NEURONS, 36 4.1. Introduction, 36 4.2. Materials and Methods, 37 4.3. Results and Discussion, 38 4.4. References, 52 5. AXONAL mRNA DYNAMICS IN LIVE NEURONS, 54 5.1. Introduction, 54 5.2. Materials and Methods, 55 5.3. Results and Discussion, 59 5.4. References, 70 6. CONCLUSION AND OUTLOOK, 72 ABSTRACT IN KOREAN (๊ตญ๋ฌธ์ดˆ๋ก), 76๋ฐ•
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