京都大学 / 0048 / 新制・課程博士 / 博士(医学) / 甲第19576号 / 医博第4083号 / 新制||医||1013(附属図書館) / 32612 / 京都大学大学院医学研究科医学専攻 / (主査)教授 中川 一路, 教授 岩田 想, 教授 西渕 光昭 / 学位規則第4条第1項該当 / Doctor of Medical Science / Kyoto University / DFAM

Thesis advisor: Tim van Opijnen / Streptococcus pneumoniae is a prominent gram-positive commensal and opportunistic pathogen which possesses a large pan-genome. Significant strain-to-strain variability in genomic content drives the use of varied pathways to perform similar processes between strains. Considering this variation, we employ a set of 36 strains, representative of 78% of total pan-genome diversity, with which to perform functional studies. We previously determined the set of genes required by 22 of the 36 strains to maintain successful infection in a host, or the virulome. In this work, we sought to parse from the virulome the genes required specifically for nasopharyngeal adhesion, a crucial step in S. pneumoniae colonization and transmission, and often a precursor to invasive disease, as well as gene requirements for subversion of the macrophage. We performed in vitro attachment Tn-seq in the 22 strains to D562 human nasopharyngeal epithelial cells, identifying thirteen factors that exhibit requirements for adhesion, and preliminarily validated a proposed universal requirement for survival of the macrophage by a killing assay using J774A.1 murine migratory macrophages. / Thesis (BS) — Boston College, 2020. / Submitted to: Boston College. College of Arts and Sciences. / Discipline: A&S Honors. / Discipline: Biology.

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Background: Bloodstream infection (BSI) caused by Klebsiella pneumoniae (KP), is a leading cause of hospitalassociated childhood mortality. There are limited data on how poor outcomes of KPBSI can be predicted in poorly resourced areas. This study aimed to assess if the profile of differential counts from full blood counts (FBC) taken at two time points in children <13 years with KPBSI could be used to predict the risk of death. Methods We conducted a retrospective study of a cohort of children admitted to hospital between 2006-2011 with KPBSI. FBC collected within 48 hours (T1) of blood culture and 5-14 days later (T2), were reviewed. Differential counts were classified as abnormal if they were higher or lower than laboratory ranges for normal results. The risk of death was assessed for each category of differential counts. Risk ratios adjusted (aRR) for potential confounders were used to estimate the effect of cell counts on risk of death using multivariable analysis. Data were stratified by HIV status. Results: Of 296 children included, median age 5 (IQR:2-13) months, 82 were HIV -infected. Ninety-five (32%) of the children with KPBSI died. Mortality in HIV-infected and uninfected children was 39/82 (48%) and 56/214 (26%), respectively (p <0.001). Independent associations with mortality were observed with leucopenia, neutropenia and thrombocytopenia. Risk of mortality in children with thrombocytopenia at T1 and T2 was aRR 2.5 (95% CI: 1.34-4.64) and 3.18 (95% CI: 1.31-7.73) respectively in the HIV-uninfected group, whereas the risk for mortality in the HIV-infected group with thrombocytopaenia at T1 and T2 was aRR 1.99 (95% CI: 0.94-4.19) and 2.01 (95% CI: 0.65-5.99) respectively. Neutropenia in the HIV-uninfected group at T1 and T2, showed aRR 2.17 (95% CI: 1.22- 3.88) and 3.70 (95% CI 1.30-10.51) respectively, while in the HIV-infected group, they were aRR 1.18 (95% CI 0.69-2.03) and 2.05 (0.87-4.85) at similar time points. Risk of mortality related to leucopenia at T2 was associated with mortality in HIV-uninfected and HIV-infected patients was aRR 3.22 (95%CI 1.22-8.51) and 2.34 (1.09-5.04) respectively. Persistently high band cell percentage at T2 in HIVinfected children indicated a risk of mortality of aRR 2.91 (95% CI 1.20-7.06). Conclusion Abnormal neutrophil counts and thrombocytopenia are independently associated with significant mortality in children with KPBSI. In resource-limited countries haematological markers have the potential to predict KPBSI mortality.

Complex formation between macromolecules constitutes the foundation of most cellular processes. Most known complexes are made up of two or more proteins interacting in order to build a functional entity and therefore enabling activities which the single proteins could otherwise not fulfill. With the increasing knowledge about noncoding RNAs (ncRNAs) it has become evident that, similar to proteins, many of them also need to form a complex to be functional. This functionalization is usually executed by specific or global RNA-binding proteins (RBPs) that are specialized binders of a certain class of ncRNAs. For instance, the enterobacterial global RBPs Hfq and ProQ together bind >80 % of the known small regulatory RNAs (sRNAs), a class of ncRNAs involved in post-transcriptional regulation of gene expression. However, identification of RNA-protein interactions so far was performed individually by employing low-throughput biochemical methods and thereby hindered the discovery of such interactions, especially in less studied organisms such as Gram-positive bacteria. Using gradient profiling by sequencing (Grad-seq), the present thesis aimed to establish high-throughput, global RNA/protein complexome resources for Escherichia coli and Streptococcus pneumoniae in order to provide a new way to investigate RNA-protein as well as protein-protein interactions in these two important model organisms. In E. coli, Grad-seq revealed the sedimentation profiles of 4,095 (∼85 % of total) transcripts and 2,145 (∼49 % of total) proteins and with that reproduced its major ribonucleoprotein particles. Detailed analysis of the in-gradient distribution of the RNA and protein content uncovered two functionally unknown molecules—the ncRNA RyeG and the small protein YggL—to be ribosomeassociated. Characterization of RyeG revealed it to encode for a 48 aa long, toxic protein that drastically increases lag times when overexpressed. YggL was shown to be bound by the 50S subunit of the 70S ribosome, possibly indicating involvement of YggL in ribosome biogenesis or translation of specific mRNAs. S. pneumoniae Grad-seq detected 2,240 (∼88 % of total) transcripts and 1,301 (∼62 % of total) proteins, whose gradient migration patterns were successfully reconstructed, and thereby represents the first RNA/protein complexome resource of a Gram-positive organism. The dataset readily verified many conserved major complexes for the first time in S. pneumoniae and led to the discovery of a specific interaction between the 3’!5’ exonuclease Cbf1 and the competence-regulating ciadependent sRNAs (csRNAs). Unexpectedly, trimming of the csRNAs by Cbf1 stabilized the former, thereby promoting their inhibitory function. cbf1 was further shown to be part of the late competence genes and as such to act as a negative regulator of competence. / Makromoleküle, die Komplexe bilden, sind die Grundlage der meisten zellulären Prozesse. Die meisten bekannten Komplexe bestehen aus zwei oder mehr Proteinen, die interagieren, um eine funktionelle Einheit zu bilden. Diese Interaktionen ermöglichen Funktionen, die die einzelnen Proteine nicht erfüllen könnten. Wachsende wissenschaftliche Erkenntnisse über nichtkodierende RNAs (ncRNAs) haben gezeigt, dass, analog zu Proteinen, auch viele ncRNAs Komplexe bilden müssen, um ihre Funktionen ausüben zu können. Diese Funktionalisierung wird normalerweise von spezifischen oder globalen RNA-bindenden Proteinen (RBPs), die auf eine bestimmte Klasse an ncRNAs spezialisiert sind, durchgeführt. So binden beispielsweise die in Enterobakterien verbreiteten globalen RBPs Hfq und ProQ zusammen >80 % der bekannten kleinen regulatorischen RNAs (sRNAs)—eine Klasse der ncRNAs, die in die posttranskriptionelle Genexpressionsregulation involviert ist. RNA-Protein-Interaktionen wurden bisher anhand einzelner Moleküle und mithilfe von biochemischen Methoden mit niedrigem Durchsatz identifiziert, was die Entdeckung solcher Interaktionen erschwert hat. Dies gilt insbesondere für Organismen, die seltener Gegenstand der Forschung sind, wie beispielsweise grampositive Bakterien. Das Ziel dieser Doktorarbeit war es, mittels gradient profiling by sequencing (Grad-seq) globale Hochdurchsatzkomplexomdatensätze der RNA-ProteinInteraktionen in Escherichia coli und Streptococcus pneumoniae zu generieren. Diese Datensätze ermöglichen es auf eine neue Art und Weise RNA-Protein- und ProteinProtein-Interaktionen in diesen wichtigen Modellorganismen zu untersuchen. Die E. coli Grad-seq-Daten beinhalten die Sedimentationsprofile von 4095 Transkripten (∼85 % des Transkriptoms) und 2145 Proteinen (∼49 % des Proteoms), mit denen die wichtigsten Ribonukleoproteine reproduziert werden konnten. Die detaillierte Analyse der Verteilung von RNAs und Proteinen im Gradienten zeigte, dass zwei Moleküle, deren Funktionen bisher unbekannt waren—die ncRNA RyeG und das kleine Protein YggL—ribosomenassoziiert sind. Durch weitere Charakterisierung konnte gezeigt werden, dass RyeG für ein toxisches Protein mit einer Länge von 48 Aminosäuren kodiert, das bei Überexpression die Latenzphase drastisch verlängert. Für YggL konnte eine Interaktion mit der 50S Untereinheit von 70S Ribosomen nachgewiesen werden, was auf eine potenzielle Funktion in der Biogenese von Ribosomen oder bei der Translation bestimmter mRNAs hindeutet. Die S. pneumoniae Grad-seq Daten beinhalten 2240 Transkripte (∼88 % des Transkriptoms) und 1301 Proteine (∼62 % des Proteoms), deren Migrationsprofile im Gradienten erfolgreich rekonstruiert werden konnten. Dieser RNA/ProteinKomplexomdatensatz eines grampositiven Organismus ermöglichte erstmalig die Verifizierung der wichtigsten konservierten Komplexe von S. pneumoniae. Weiterhin konnte eine spezifische Interaktion der 3’!5’-Exonuklease Cbf1 mit den ciadependent sRNAs (csRNAs), die an der Regulation von Kompetenz beteiligt sind, nachgewiesen werden. Überraschenderweise stabilisiert das von Cbf1 durchgeführte Kürzen der csRNAs die selbigen, was deren inhibitorische Funktion unterstützt. Darüber hinaus konnte gezeigt werden, dass cbf1 eines der späten Kompetenzgene ist und als solches als negativer Regulator der Kompetenz agiert.

The holy grail of structural biology is to study a protein in situ, and this goal has been fast approaching since the resolution revolution and the achievement of atomic resolution. A cell's interior is not a dilute environment, and proteins have evolved to fold and function as needed in that environment; as such, an investigation of a cellular component should ideally include the full complexity of the cellular environment. Imaging whole cells in three dimensions using electron cryotomography is the best method to accomplish this goal, but it comes with a limitation on sample thickness and produces noisy data unamenable to direct analysis. This thesis establishes a novel workflow to systematically analyse whole-cell electron cryotomography data in three dimensions and to find and identify instances of protein complexes in the data to set up a determination of their structure and identity for success. Mycoplasma pneumoniae is a very small parasitic bacterium with fewer than 700 protein-coding genes, is thin enough and small enough to be imaged in large quantities by electron cryotomography, and can grow directly on the grids used for imaging, making it ideal for exploratory studies in structural proteomics. As part of the workflow, a methodology for training deep-learning-based particle-picking models is established. As a proof of principle, a dataset of whole-cell Mycoplasma pneumoniae tomograms is used with this workflow to characterize a novel membrane-associated complex observed in the data. Ultimately, 25431 such particles are picked from 353 tomograms and refined to a density map with a resolution of 11 Å. Making good use of orthogonal datasets to filter search space and verify results, structures were predicted for candidate proteins and checked for suitable fit in the density map. In the end, with this approach, nine proteins were found to be part of the complex, which appears to be associated with chaperone activity and interact with translocon machinery. Visual proteomics refers to the ultimate potential of in situ electron cryotomography: the comprehensive interpretation of tomograms. The workflow presented here is demonstrated to help in reaching that potential. / Der heilige Gral der Strukturbiologie ist die Untersuchung eines Proteins in situ, und dieses Ziel ist seit der Auflösungsrevolution und dem Erreichen der atomaren Auflösung in greifbare Nähe gerückt. Das Innere einer Zelle ist keine verdünnte Umgebung, und Proteine haben sich so entwickelt, dass sie sich falten und so funktionieren, wie es in dieser Umgebung erforderlich ist; daher sollte die Untersuchung einer zellulären Komponente idealerweise die gesamte Komplexität der zellulären Umgebung umfassen. Die Abbildung ganzer Zellen in drei Dimensionen mit Hilfe der Elektronenkryotomographie ist die beste Methode, um dieses Ziel zu erreichen, aber sie ist mit einer Beschränkung der Probendicke verbunden und erzeugt verrauschte Daten, die sich nicht für eine direkte Analyse eignen. In dieser Dissertation wird ein neuartiger Workflow zur systematischen dreidimensionalen Analyse von Ganzzell-Elektronenkryotomographiedaten und zur Auffindung und Identifizierung von Proteinkomplexen in diesen Daten entwickelt, um eine erfolgreiche Bestimmung ihrer Struktur und Identität zu ermöglichen. Mycoplasma pneumoniae ist ein sehr kleines parasitäres Bakterium mit weniger als 700 proteinkodierenden Genen. Es ist dünn und klein genug, um in grossen Mengen durch Elektronenkryotomographie abgebildet zu werden, und kann direkt auf den für die Abbildung verwendeten Gittern wachsen, was es ideal für Sondierungsstudien in der strukturellen Proteomik macht. Als Teil des Workflows wird eine Methodik für das Training von Deep-Learning-basierten Partikelpicken-Modellen entwickelt. Als Proof-of-Principle wird ein Dataset von Ganzzell-Tomogrammen von Mycoplasma pneumoniae mit diesem Workflow verwendet, um einen neuartigen membranassoziierten Komplex zu charakterisieren, der in den Daten beobachtet wurde. Insgesamt wurden 25431 solcher Partikel aus 353 Tomogrammen gepickt und zu einer Dichtekarte mit einer Auflösung von 11 Å verfeinert. Unter Verwendung orthogonaler Datensätze zur Filterung des Suchraums und zur Überprüfung der Ergebnisse wurden Strukturen für Protein-Kandidaten vorhergesagt und auf ihre Eignung für die Dichtekarte überprüft. Letztendlich wurden mit diesem Ansatz neun Proteine als Bestandteile des Komplexes gefunden, der offenbar mit der Chaperonaktivität in Verbindung steht und mit der Translocon-Maschinerie interagiert. Das ultimative Potenzial der In-situ-Elektronenkryotomographie – die umfassende Interpretation von Tomogrammen – wird als visuelle Proteomik bezeichnet. Der hier vorgestellte Workflow soll dabei helfen, dieses Potenzial auszuschöpfen.

Abstract available through the Journal of Investigative Medicine.

This study evaluates the ecology of Streptococcus pneumoniae (SP) nasopharynx (NP) colonization in response to the pneumococcal conjugate vaccines, specifically 7-Valent Pneumococcal Conjugate Vaccine (2000-2009), 13-Valent Pneumococcal Conjugate Vaccine (2010-2023) and 20-Valent Pneumococcal Conjugate Vaccine (2023-future date). It is anticipated that the replacement of PCV13 with PCV20, a pneumococcal conjugate vaccine with 7 additional polysaccharide conjugates to CRM197 will enhance the protection against non-vaccine serotypes which are in circulation in communities. The project will evaluate the dynamic changes in pneumococcal colonization over the 5-year time line from 2021-2026. Pneumococcal nasopharynx colonization is detected through nasopharyngeal culture and molecular techniques. The primary source of pneumococcal transmission occurs among the pediatric population and between children and adults. The impact of PCV7 and 13 on pneumococcal colonization over the prior 20 years created a herd effect that resulted in a reduction in pneumococcal disease in unimmunized children and adults. Studies of NP colonization has led to a deeper understanding of pneumococcal conjugate vaccine (PCV) effectiveness and the role of herd immunity in protecting the population, the emergence of replacement serotypes, the variation in invasive capability of each serotype and evolution of antimicrobial resistance resulting from the evolving ecology. In this 5-year-study, researchers at the Pelton Lab in Boston Medical Center set out to understand the prevalence of NP carriage of 13vPnC serotypes, the 7 unique 20vPnC serotypes and NVST (non-vaccine serotypes) within the pediatric population prior to and subsequent to the introduction of PCV 20 (Fall 2023).

Streptococcus pneumoniae (the pneumococcus) is one of the leading causes of death due to infectious disease in the world, with over one million deaths being attributed to this bacterium each year. While the majority of these deaths occur in children in developing nations, significant morbidity and mortality in the developed world, especially in the elderly, can be attributed to pneumococcal diseases such as bacterial pneumonia and meningitis. This is despite the near-universal use of anti-pneumococcal vaccines in these parts of the world. The work presented in this thesis describes the ways in which resident nasal macrophages respond to nasopharyngeal pneumococcal colonization, allowing for the protection of immunocompetent individuals from these diseases. This thesis describes the role of the macrophage scavenger receptor MARCO in recognizing the bacterium upon colonization, and the chain of events that are subsequently established. I have found that MARCO is vital in orchestrating the clearance of pneumococci from the nasopharynx in an expedient manner, as well as preventing the swift spread of bacteria to other tissues of the body early on in colonization. I also outline a role for regulatory micro-RNAs present in macrophages in the mounting of this anti-pneumococcal response via the induction of specific T cell populations. The collection of data found herein is an important resource for those attempting to understand the complex narrative that takes place between the pneumococcus and the innate immune system during a colonizing event and will lead to further discovery on how healthy individuals escape fatal pneumococcal disease. / Thesis / Doctor of Philosophy (PhD) / The bacterium Streptococcus pneumoniae is one of the most dangerous pathogens in the world, accounting for more one million deaths every year worldwide. This bacterium is also very common, with approximately one third of all people having some S. pneumoniae in their noses at any given time. The goal of this thesis is to provide a better understanding of how our immune cells interact with S. pneumoniae when it first enters our noses and how these initial interactions prevent healthy people from becoming sick. I have found that white blood cells called macrophages are crucial to these interactions. Macrophages are able to ‘eat’ the bacteria using a specialized protein called MARCO to grab onto them. This information will be vital in trying to develop new vaccines and treatments for S. pneumoniae-related diseases like bacterial pneumonia (lung infection) and meningitis (brain infection).

No description available.