La caractérisation d’échantillons biologiques s’effectue très souvent au microscope optique. Or, il est techniquement difficile d’isoler quelques cellules rares parmi une culture hétérogène en se basant strictement sur des caractéristiques observables au microscope, comme la localisation, la morphologie ou le déplacement, car il n’existe pas nécessairement de marqueur moléculaire unique qui leur sont associés. Afin de répondre à cet enjeux, le laboratoire dans lequel j’ai effectué mon stage de maîtrise a récemment développé la Single Cell Magneto Optical Capture (scMOCa), qui utilise des réactifs communs et un laser de faible puissance pour attacher des billes ferromagnétiques à la membrane plasmique cellulaire et permet d’isoler magnétiquement les cellules d’intérêt. Le présent ouvrage rapporte l’application de la scMOCa à la migration de cellules métastatiques ainsi que les adaptations apportées à la technique nécessaires à la réalisation du projet. Notamment, le volume de cellules uniques capturé a été augmenté d’un facteur d’environ 250 grâce à l’automatisation de la technique et à l’étude du photoblanchiement de la fluorescéine, phénomène à la base de la scMOCa. Brièvement, l’expérience consiste à capturer les cellules uniques présentant les phénotypes migratoires les plus importants, définis par l’analyse de leur trajectoire, parmi une culture hétérogène de cellules métastatique. Les résultats de l’expérience démontrent une conservation des phénotypes migratoires après plusieurs mitoses. Aussi, l’expression génétique relative fait ressortir des gènes et groupes de gènes propres à la migration cellulaire. / The characterization of biological samples depends heavily on the optical microscope. However, it is technically challenging to isolate rare cells among a heterogeneous culture solely based on visual inspection at the microscope. Indeed, characteristics like location, morphology or displacement do not necessairly have specific related molecular markers. In order to solve this issue, the laboratory where I accomplished my master internship developped the Single Cell Magneto Optical Capture (scMOCa) wich uses commun reagents and a low powered laser to attach ferromagnetic beads on the cell plasma membrane and isolate the cells of interest with magnetic tools. The present work reports the application of scMOCa to the metastatic cell migration and the implemented adaptations to the technique in order to carry out the project, especially by increasing the number of single cells being isolated by a factor of 250. This adaptation requiered the study of photobleaching, phenomenon at the foundation of scMOCa. Briefly, the experiment consists to capture the cells presenting the most important migratory phenotypes, defined by their track analysis, among a heterogeneous metastatic cell culture. The experimental results show that the migratory phenotypes are preserved after several cell divisions. Also, the relative gene expression highlights some genes and gene groups owned to cellular migration.

<p>Skeletal muscle takes up nearly 40% of total body mass, is critical for daily function by</p> <p>providing balance, supports breathing, movement, and energy expenditure. Preserving</p> <p>skeletal muscle can also significantly improve one’s quality by maintaining balance, movement</p> <p>and improving metabolic health [1, 2]. This becomes more imperative with age, as skeletal muscle mass naturally declines, and further compounds decline in quality of life and health [1, 2]. Thus, it is critical to understand the physiology of skeletal muscle and the underlying cellular and</p> <p>molecular mechanisms that contribute to normal function. Using mouse models to further our</p> <p>understanding, this dissertation leverages single-cell RNA-sequencing (scRNA-seq) to dissect the</p> <p>cellular and molecular underpinnings of skeletal muscle injury and repair. Specifically, chapter 1</p> <p>provides an overview of skeletal muscle structure, muscle regeneration, and the current state of</p> <p>scRNA-seq literature in muscle regeneration. In chapter 2, I will discuss the large-scale scRNAseq of regenerating muscle which identified dynamic population of resident and infiltrating cells. In chapter 3, I will discuss the potential immunomodulatory role of MuSCs and leveraging scRNAseq data to understand the cellular mechanisms that govern successful muscle regeneration. Finally, in chapter 4 I will discuss the role of the transcription factor Sox11, which was identified by scRNA-seq and was specific to differentiating MuSCs. Thus, this dissertation spans the cellular and molecular components of muscle regeneration.</p>

No description available.

Indiana University-Purdue University Indianapolis (IUPUI) / The single cell gel electrophoresis assay (comet assay) is a useful tool for monitoring individuals who may be at risk of DNA damage and the ensuing process of carcinogenesis or other disease states. Leukocytes in blood samples provide a means of obtaining cells for use in the comet assay. However instances may arise when samples must be stored for later analysis. The present study investigated the effects of storage conditions on DNA damage in the form of strand breaks and oxidized bases in rat and human leukocytes using the comet assay. Whole blood and buffy coat samples were stored at room temperature or 4ºC for 1, 2, 24, and 48 hours or cryopreserved at -80ºC for 1 day and 1, 2, 3, and 4 weeks. The results show that the time of storage is limited if the whole blood or buffy coat samples are stored at room temperature or 4ºC. However, if cryopreserved using glycerol or DMSO as the cryoprotectant, the samples may be stored for at least 4 weeks without DNA strand breaks or oxidative damage deviating significantly from the fresh samples.

Herzinsuffizienz ist ein klinisches Syndrom, welches durch funktionelle und strukturelle Anomalien des Herzens verursacht wird, und ist weltweit die häufigste Todesursache. Die dilatative Kardiomyopathie, welche durch eine Vergrößerung der linken Herzkammer definiert ist, und die arrhythmogene Kardiomyopathie, welche im Gegensatz durch eine Dysfunktion der rechten Herzkammer definiert ist, sind eine der häufigsten Ursachen für Herzinsuffizienz. Trotz vieler Bemühungen die molekularen Veränderungen der Herzinsuffizienz zu charakterisieren, sind Zelltypzusammensetzung, Genexpressionsänderungen, und zelluläre Interaktionen unter pathologischen Bedingungen unbekannt. Um diese Fragen zu adressieren wurde ein Protokoll zur Isolation intakter Zellkerne entwickelt um Einzelkernsequenzierung im Herzen durchzuführen. Anschließend wurde mit dem entwickelten Protokoll die zelluläre Zusammensetzung des erwachsenen gesunden menschlichen Herzens charakterisiert. Hier war mein Fokus die Charakterisierung und Identifikation von Subformen von Fibroblasten, und deren Genexpressionsunterschiede in den linken und rechten Vorhöfen und Herzkammern. Basierend auf dieser Annotation wurden die Zelltypen und Subtypen von ungefähr 900.000 Zellkernen von 61 nicht-ischämischen Herzinsuffizienzpatienten mit unterschliedlichen pathogenen Varianten in DCM- und ACM-assoziierten Genen oder idiopathischen Erkrankungen charakterisiert und mit 18 gesunden Spenderherzen verglichen. Dieser Datensatz zeigte spezifische Unterschiede des linken und rechten Ventrikels mit differenziell regulierten Genen und Signalwegen, and Veränderungen in der Zusammensetzung der verschiedenen Zelltypen und Subtypen. Um genotyp-spezifische Antworten unabhängig zu bestätigen wurden Algorithmen des maschinellen Lernens angewendet, welche die zugehörige Genotyp-Untergruppe des Patienten mit hoher Genauigkeit vorhersagten. Zusammenfassend stellen die in dieser Arbeit veröffentlichten Daten das vorherrschende Dogma in Frage, dass Herzinsuffizienz auf einen gemeinsamen finalen Signalweg zurückzuführen ist. / Heart failure is a clinical syndrom and leading cause of death worldwide, caused by functional and structural abnormalities of the heart. Dilated Cardiomyopathy, defined by a left ventricular enlargement, and arrhythmogenic cardiomyopathy, defined by a right ventricular dysfunction, are leading causes of heart failure. Despite previous efforts to characterise molecular changes in the failing heart, little is known on cell-type specific abundance and expression changes under pathological conditions, and how individual cell-types interact during heart failure and cardiac remodelling. To address this question, a protocol for the isolation of intact nuclei was firstly established to perform robust single-nucleus RNA sequencing in the heart. Next, the cell-type composition of the healthy adult human heart was characterised. Here my focus was on the fibroblast nieche by characterising fibroblast states, their composition and their atria- and ventricle-specific expression patterns. Cell type and state annotation was then used to characterize the transcriptome of roughly 900,000 nuclei from 61 failing, non-ischemic human hearts with distinct pathogenic variants in DCM and ACM genes or idiopathic disease and compared those to 18 healthy donor hearts. This dataset revealed distinct responses of the right and left ventricle with differently regulated genes and pathways, and compositional changes across cell types and states. To independently confirm genotype-specific responses, machine learning approaches were applied, predicting genotype subgroups with high accuracy. Taken together, the findings published in this thesis upend the prevalent dogma that heart failure results in a final common pathway.

In forensic casework analysis it is necessary to obtain genetic profiles from increasingly smaller amounts of biological material left behind by perpetrators of crime. The ability to obtain profiles from trace biological evidence is demonstrated with so-called ‘touch DNA evidence’ which is perceived to be the result of DNA obtained from shed skin cells transferred from donor to an object or person during physical contact. However, the current method of recovery of trace DNA involves cotton swabs or adhesive tape to sample an area of interest. This "blindswabbing" approach may result in the recovery of biological material from different individuals resulting in admixed DNA profiles which are often difficult to interpret. Profiles recovered from these samples are reported to be from shed skin cells with no biological basis for that determination. A specialized approach for the isolation of single or few cells from ‘touch DNA evidence’ is necessary to improve the analysis and interpretation of recovered profiles. Here we describe the development of optimized and robust micro volume PCR reactions (1-5 μL) to improve the sensitivity and efficiency of ‘touch DNA’ analysis. These methods will permit not only the recovery of the genetic profile of the donor of the biological material, but permit an identification of the tissue source of origin using mRNA profiling. Results showed that the 3.5 uL amplification volume, a fraction of the standard 25 uL amplification volume, was the most ideal volume for the DNA assay, as it had very minimal evaporation with a 50% profile recovery rate at a single cell equivalent input (~5 pg) with reducing amplification volume alone. Findings for RNA showed that by reducing both amplification steps, reverse transcriptase PCR (20 uL) and body fluid multiplex PCR (25 uL), to iv 5 uL, ideal results were obtained with an increase in sensitivity and detection of six different body fluids down to 50 pg. Once optimized at the trace level, the assays were applied to the collection of single and few cells. DNA findings showed that about 40% of a full profile could be recovered from a single buccal cell, with nearly 80% of a full profile recovered from only two cells. RNA findings from collected skin particles of "touched" surfaces showed accurate skin detection down to 25 particles and detection in one clump of particles. The profiles recovered were of high quality and similar results were able to be replicated through subsequent experiments. More studies are currently underway to optimize these developed assays to increase profile recovery at the single cell level. Methods of doing so include comparing different locations on touched surfaces for highest bio-particle recovery and the development of physical characteristics of bio-particles that would provide the most ideal results

Einzelzellomics bieten unvoreingenommene Einblicke in Transkriptionsprogramme und Genom-Zugänglichkeiten auf zellulärer Ebene, auch wenn der zelluläre Kontext verloren geht. Wir haben einen virtuellen Multi-omic Embryo der Drosophila melanogaster erstellt, basierend auf den Datentypen RNA (Transkriptom) und ATAC (Zugänglichkeit der DNA), welche gleichzeitig auf Einzelzell Ebene erhoben wurden. Mithilfe des Tools novoSpaRc, welches den räumlichen Ursprung der Zellen rekonstruiert, konnte ein regulatorischen Bauplan erstellt werden, der die Genexpression und die Zugänglichkeit von Enhancern widerspiegelt. Diese Ressource hilft beim Verständnis der regulatorischen Dynamik in der Entwicklung. Bei der Untersuchung von ATAC-Peaks konnten wir Überschneidungen zwischen den Mustern der Chromatin Zugänglichkeit und der Aktivität unabhängiger getesteter Enhancer feststellen, was die Bedeutung der Zugänglichkeit unterstreicht. Die nicht-negative Matrixfaktorisierung identifizierte Archetypen der Genexpression und der Chromatin-Zugänglichkeit. Archetypen, die möglicherweise durch Transkriptionsfaktoren (TFs) reguliert werden, wurden einer Motiv-Anreicherungsanalyse für Archetyp-assoziierte CRMs unterzogen. Ein Ansatz zur Vorhersage von Enhancern, ordnete die Enhancer den Genen auf der Grundlage partieller Ähnlichkeit der Muster zu. Zusammenfassend dient unser multimodaler virtueller Embryo als Ressource und präsentiert zum ersten Mal räumliche Chromatin-Zugänglichkeiten für genomische Regionen für einen ganzen Organismus. Die Ergebnisse geben Aufschluss über die Prinzipien der Genregulation und zeigen den regulatorischen Einfluss von Transkriptionsfaktoren auf den Chromatinzustand von Enhancern. / Single-cell-omics techniques provide unbiased insights into transcriptional programs and genomic accessibility patterns at the cellular level despite sacrificing spatial information. We created a multi-omic virtual Drosophila melanogaster stage 6 embryo by simultaneously assessing genome accessibility and transcriptional states in individual cells. Using novoSpaRc, a spatial mapping tool, we accurately reconstructed the spatial origin of cells, yielding a regulatory blueprint reflecting gene expression and enhancer accessibilities. This resource aids in understanding developmental regulatory dynamics. Examining ATAC-peaks, we observed overlapping chromatin accessibility patterns with the activity of independently testes enhancers, emphasizing accessibility's importance. Non-negative matrix factorization identified archetypes in gene expression and chromatin accessibility. Accessibility archetypes, potentially regulated by transcription factors (TFs), were subjected to motif enrichment analysis for archetype-associated CRMs. An enhancer prediction approach, utilizing a generalized linear model, assigned enhancers to genes based on partial pattern similarity. In summary our multi-modal virtual embryo serves as a resource and presents for the first time single-cell chromatin accessibilities for genomic regions reconstructed in space for a whole organism in a single developmental stage. The results shed light on gene regulatory principles, highlighting the regulatory impact of TFs on chromatin states of enhancers.

Globally, cancer is one of the leading causes of mortality, with an estimated 18.1 million cancer cases, 10 million deaths, and 1.9 million new cases diagnosed in 2020 (Sung et al., 2021). However, during the past several decades, cancer survival has improved such that 82% of children and >2/3 of adults diagnosed with cancer will survive beyond five years (World Health Organization (WHO) - Childhood Cancer, 2021). Skeletal muscle atrophy and fibrosis are long-term adverse effects experienced by 80% of cancer survivors for which there is no available therapy (Paulino, 2004). These long-term consequences are related to the toxicity from the cancer treatment, leading to alterations in skeletal muscle function which can lead to comorbidities and increased mortality among cancer survivors (Paulino, 2004; Williams et al., 2016). Thus, novel approaches to address the long-term effects of cancer therapy on skeletal muscle are critically needed. Exercise training is a potential non-pharmacological strategy that improves common cancer- and treatment-related side effects (Mustian et al., 2012). Specifically, exercise programs that combine resistance and endurance training (RET) have been shown to improve muscle strength and cardiovascular fitness in cancer survivors (Tong et al., 2020). The mechanisms responsible for these effects remain unknown. The remarkable plasticity of skeletal muscle relies primarily on muscle stem (satellite) cells (MuSCs) (Lepper et al., 2011) that are regulated, in part, by muscle-resident stromal cells (Bentzinger et al., 2013). These different stromal cell types, including: vascular endothelial cells (ECs), immune cells, and mesenchymal progenitors, also known as fibro-adipogenic progenitors (FAPs), create the muscle stem cell niche (Yin et al., 2013). FAPs possess a dual role as they are involved in skeletal muscle maintenance and regeneration by secreting pro-myogenic trophic factors (Biferali et al., 2019; Joe et al., 2010; Uezumi et al., 2010; Wosczyna et al., 2019), but also contribute to fibrotic and fatty tissue accumulation in chronic degenerative conditions (Uezumi et al., 2010). The divergent features of FAPs highly depend on signals they receive from their microenvironment (Giuliani et al., 2021); however, FAP's contribution to cancer treatment-induced muscle pathology in cancer survivors remains unknown. The overall objective of this thesis is to begin to develop an understanding of the role of FAPs in cancer treatment-induced muscle pathology and to determine if RET represents an effective therapy to prevent the long-term muscle defects of juvenile cancer plus therapy.

Die Menge an RNA in Eukaryonten wird durch ihre kinetischen Transkriptions-, Verarbeitungs- und Abbauraten bestimmt. Diese kinetischen Raten wurden bereits ausführlich in Zellpopulationen untersucht, allerdings unter der Annahme, dass diese in verschiedenen Zelltypen identisch sind. Die Genexpression ist jedoch während biologischer Prozesse wie z.B der Zellproliferation, Zelldifferenzierung und Zellteilung hochdynamisch. Die Untersuchung der RNA- Kinetikraten in Einzelzellen, die sich in verschiedenen Phasen desselben dynamischen Prozesses befinden, kann uns ein umfangreicheres Bild davon geben, wie RNA-Kinetikraten die Genexpression zeitabhängig koordinieren. In diesem Projekt, Wir haben die Methode der RNA- Stoffwechselmarkierung und der biochemischen Nukleosidkonversion mit der Einzelzell-RNA- Sequenzierung kombiniert. Wir leiteten ein zeitabhängiges kinetisches Geschwindigkeitsmodell ab und schätzten RNA-Transkriptions- und - Abbauraten über den zeitlichen Verlauf des Zellzyklus ab. Dabeiverwendeten wir Näherungen basierend auf der Lösung des resultierenden Differentialgleichungssystems. Wir fanden heraus, dass Transkriptions- und Abbauraten der meisten zyklischen Gene hochdynamisch sind. Unterschiedliche kinetische Regulationsmuster formen spezifische Genexpressionsprofile. Etwa 89 % der 377 von uns analysierten zyklischen Gene werden durch dynamische Transkriptions- und Abbauraten reguliert. Während der dynamischen Transkriptionsrate beobachteten wir auch, dass einige zyklische Gene durch dynamische Zerfallsraten angetrieben wurden. Unsere Studie bekräftigt die Bedeutung der zeitlichen Regulation von der Genexpression durch Produktion und Zerfall. Darüber hinaus hat die von uns entwickelte Methode das Potenzial, an verschiedene biologische Prozesse angepasst zu werden. Unser Ansatz in dieser Studie kann die Untersuchung der zeitlichen Genexpressionsregulation und der RNS- Kinetikraten voranbringen. / RNA abundance in eukaryotes is determined by its kinetic rates of transcription, processing and degradation. Each of the kinetic rates has been extensively studied in bulk cell populations assuming they are equal in different cells. However, gene expression is highly dynamic during biological processes such as cell proliferation, cell differentiation, and cell division. Investigation of RNA kinetic rates in individual cells which are in different phases of the same dynamic process can give us a more comprehensive picture of how RNA kinetic rates coordinate gene expression in a time-dependent manner. In this project, we adapted the RNA metabolic labeling and biochemical nucleoside conversion method to droplet- based single-cell RNA sequencing. We derived a time- dependent kinetic rate model and estimated RNA transcription and degradation rates over the time course of the cell cycle using approximations based on the solution of the resulting system of differential equations. We found that transcription and degradation rates of most cycling genes are highly dynamic. Different kinetic regulation patterns shape specific gene expression profiles. Around 89% of the 377 cycling genes we analyzed are regulated by dynamic transcription and degradation rates. While dynamic transcription rate was prevalent, we also observed some cycling genes were driven by dynamic decay rates. Our study underscores the importance of temporal gene expression regulation by both production and decay. Moreover, the method we developed has the potential to be adapted to different biological processes. We suggest that our approach can advance the study of temporal gene expression regulation and RNA kinetic rates.

Variationen in der Genexpression spielen eine zentrale Rolle bei der evolutionären Divergenz, die zur Speziation führt. Dies wird durch Veränderungen sowohl in nicht-kodierenden cis-wirkenden regulatorischen Elementen (CREs) wie Promotoren und Enhancern als auch in trans-wirkenden regulatorischen Elementen bestimmt. Veränderungen in den regulatorischen Sequenzen können Entwicklungsmuster verändern und wirken als eine der treibenden Kräfte der Evolution der Genexpression. Hier untersuche ich die Anwendung der Einzelzell-Multiomik in der evolutionären vergleichenden Genomik, wobei der Schwerpunkt auf den funktionellen Auswirkungen der Divergenz bei cis-regulatorischen Elementen liegt. Unter Verwendung von Hybrid-Embryonen von Drosophila melanogaster und sechellia generiere ich ein diploides Referenzgenom und führe allelspezifische Einzelzellanalysen von scRNA-seq und scATAC-seq durch. Zusammen können diese beiden komplimentären Ansätze einen integrativen Überblick über die Transkription und die Zugänglichkeit des Chromatins liefern, wodurch CREs identifiziert und mit allelspezifischen Veränderungen in den Genen, die sie regulieren, in Verbindung gebracht werden können. Die computergestützte Rekonstruktion verschiedener Zellidentitäten durch Clustering einzelner Zellen ermöglicht es uns auch zu untersuchen, wie sich das Allel-Ungleichgewicht während der Zelltyp-Spezifikation räumlich verändern kann. Im Gegensatz zu früheren Forschungsarbeiten stelle ich fest, dass Gene, die an der Entwicklung und Musterbildung beteiligt sind, ein unterschiedliches allelisches Ungleichgewicht in der Expression und Zugänglichkeit über die Zelltypen hinweg aufweisen. Diese Arbeit zeigt das Potenzial der Kombination von Einzelzell-Multiomik und artübergreifenden Vergleichen in der vergleichenden Genomik und wirft ein neues Licht auf die Rolle von cis-regulatorischen Elementen in der adaptiven Evolution. / Variation in gene expression plays a pivotal role in the evolutionary divergence that leads to speciation. This is determined by changes in both non-coding cis-acting regulatory elements (CREs) like promoters and enhancers, as well as trans-acting regulatory elements. Changes in regulatory sequences can alter developmental patterns, acting as one of the driving forces behind gene expression evolution. However, poor sequence conservation of CREs makes it challenging to identify them and link changes in regulatory sequences to new phenotypes. Here, I explore the application of single cell multiomics in evolutionary comparative genomics, with a focus on functional effects of divergence in cis-regulatory elements. Using hybrid embryos of Drosophila melanogaster and Drosophila sechellia, I generate a diploid reference genome and conduct single cell allele-specific analysis of scRNA-seq and scATAC-seq data. Together, these two assays can provide an integrative read-out of transcription and chromatin accessibility, allowing CREs to be identified and linked to allele-specific changes (allelic imbalance) in the genes they regulate. The computational reconstruction of different cell identities via single cell clustering also allows us to investigate how allelic imbalance may vary spatially during cell-type specification. In contrast to previous research, I find that genes involved in development and patterning display differential allelic imbalance in expression and accessibility across cell types. In addition, I investigate the role of neurodevelopmental allelic imbalance in the sechellia lineage and identify candidate genes for sechellia-specific adaptations. While highlighting current computational limitations, this thesis demonstrates the potential of combining single cell multiomics and cross-species comparisons in comparative genomics and shedding new light on the role of cis-regulatory elements and mechanisms of adaptive evolution.