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Browsing by Subject "single-cell RNA sequencing"

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  • Hämäläinen, Klaus (2022)
    Multiple Sclerosis (MS) is an incurable autoimmune demyelinating disease affecting the central nervous system (CNS). Although the detailed pathogenesis remains unclear, recent research has highlighted the involvement of B cells. For decades, however, MS research was based on T cell-focused animal models of autoimmune encephalomyelitis (EAE), which do not reflect the involvement of B cells in the pathogenesis. Therefore, B cell-dependent EAE models are hypothesized to allow a better understanding of MS immunohistopathology and may therefore lead to the development of efficient treatments. In our spontaneous relapsing-remitting (RR) EAE model, B cells are recruited from the endogenous repertoire by transgenic myelin oligodendrocyte glycoprotein (MOG) -reactive T cells, causing the development of EAE in 3–4-month-old mice. Interestingly, MOG-specific antibodies are present long before actual onset of clinical disease and can be detected already in 5-week-old RR mice and disease development in RR mice is dependent both on the presence of (presumably MOG-specific) B cells as well as on stimuli provided by intestinal microbiota. Firstly, we evaluated the broader usability of induced germinal center cell (iGB) culture as a model for B cell repertoire studies. Then, by using iGB culture, we studied whether MOG-specific B cells are present in secondary lymphoid organs of younger than 4-week-old and germ-free RR mice. Finally, this study aimed to investigate whether the repertoire of MOG-specific B cells undergoes significant qualitative changes from young healthy mice to older acutely sick RR mice, and whether at the time of disease onset the recruited MOG-specific B cells expand and mature in the cervical nodes (cLN) or in the CNS. To do so, following the hosting-lab’s previous single-cell RNA sequencing (scRNA-seq) of B cells derived from cLN of 5-week-old RR mice, we performed the scRNA-seq of B cells from CNS, spleen, and cLN of acutely sick RR EAE mice. We demonstrated that iGB culture is an unsuitable tool to expand pre-activated B cells, and hence, in our hands it was inappropriate for repertoire studies. However, iGB culture proved to be useful for screening different organs for MOG-specific B lymphocytes, and we found that anti-MOG antibodies were firstly detected in 3-4-week-old RR mice, and MOG-specific B cells were present also in germ-free RR mice. Our scRNA-seq results revealed many highly expanded MOG-specific B cell clonotypes in acutely sick RR mice. Moreover, the B cell repertoire of sick RR mice was more diverse, including IgG1, IgM, IgG2b, IgG2c, and IgG3 isotypes, compared to healthy 5-week-old RR mice that had only IgG1 or IgM isotypes. Two-thirds of the expanded clonotypes were primarily detected in the CNS in sick RR mice, indicating that clonotypes develop further and continue isotype switching within the CNS. We also detected more somatic mutation in the variable region of expanded clones of sick RR mice compared to 5-week-old RR mice. The results of this study clearly show an antigen-driven evolution of the MOG-specific B cell repertoire from healthy young to acutely sick RR mice, which seems to occur mainly in CNS itself. In contrast, cLN are the major initial priming site of MOG-specific B cells in healthy RR mice, even under germ-free conditions. This suggests that commensal microbiota is not required for initial recruitment of MOG-specific B cells, but for the development of EAE. To further validate our encouraging scRNA-Seq results, it is necessary, in future experiments, to confirm the MOG-specificity of expanded clonotypes.
  • Pirttikoski, Anna (2022)
    Ovarian cancer is the most lethal gynecological cancer and high-grade serous ovarian cancer (HGSOC) is the most common type of it. HGSOC is often diagnosed in advanced stages and most patients will relapse after optimal first-line treatment. One reason for the lack of successful treatment in HGSOC is high tumor heterogeneity including differences across the tumors in distinct patients, and even within each tumor. This heterogeneity is the result of genetic and non genetic factors. Phenotypical variabilty exists also within cancer cells that have the same genetic background. This is due to the fact that a cell can exist in more than one stable state where its genome is in a specific configuration and it expresses certain genes. Diverse cell states and transitions between them initially offer a path for tumor development, and later enable essential tumor behavior, such as metastasis and survival in variable environmental pressures, such as those posed by anti-cancer therapies. Generally, phenotypic heterogeneity is acquired from the cell of origin for a tumor. This thesis studies cell states in HGSOC cancer cells and their normal counterparts, fallopian tube epithelial cells. Exploration of cell states is based on gene expression data of individual cells. Gene expression data was analyzed with state-of-the-art tools and computational methods. Gene modules representing cell states were constructed using genes found in differential gene expression analysis of cancer cells, normal cells and tumor microenvironment. Differentially expressed gene (DEG) groups of cancer, normal FTE and shared epithelial genes were grouped separately into gene modules based on gene-gene associations and community detection. Potential dynamical relationships between cell states were addressed by pseudo-temporal ordering using RNA velocity modeling approach. We are able to capture biologically meaningful cell states which are relevant in the development of HGSOC with chosen research strategy. Found cell states represent processes such as epithelial-mesenchymal transition, inflammation and stress response which are known to have a role in cancer development. The transition patterns showed consistent tendencies across the samples, and the trajectories for normal samples presented more directionality than those of cancer specimens. The results indicate existence of shared epithelial states which stay in fixed positions in the developmental trajectory of normal and cancer cells. For example, both epithelial stem cells and stem-like cancer cells seem to utilize oxidative phosphorylation (OXPHOS) for their metabolic needs. On the other hand, cell states that are more terminal showed higher activities of tumor necrosis factor alpha and Wnt/beta-catenin pathways that were both mutually exclusive with OXPHOS. Overall, this thesis presents a novel approach to study cell states the characterization of which is essential in understanding tumorigenesis and cancer cell plasticity.
  • Paech, Jennifer Bianca (2020)
    Cardiovascular diseases are the leading cause of death globally. Especially pathological cardiac hypertrophy can be a trigger for severe pathological conditions, such as congestive heart failure. Previously, overexpression of vascular endothelial growth factor B (VEGF-B) in cardiomyocytes has been shown to lead to cardiac hypertrophy, but in a reversible, physiological way. Furthermore, VEGF-B overexpression leads to significant expansion of the coronary vascular tree. This study compares transcriptomics of postnatal and adult murine cardiac endothelial cells (ECs) and examines the transcriptional changes in response to VEGF-B transgene, plus the effect of the VEGF-B transgene on recovery of the murine cardiac ECs from myocardial infarction (MI). I analyzed isolated ECs from VEGF-B transgenic and AAV-VEGF-B transduced mice with single-cell RNA sequencing. The markers used for identification of the cell types applies to all experimental groups, although the proportions of cells differ among the conditions. The myocardial VEGF-B transgene promotes EC proliferation during development and boosts endothelial proliferation also in adult mice both in physiological conditions and after MI. Trajectory analysis indicates that ECs from the VEGF-B treated mice follow a distinct trajectory to enter the cell cycle after MI. These results suggest VEGF-B gene therapy as a new tool for coronary vessel remodeling, which could open new perspectives in the prevention and treatment of myocardial infarction.
  • Huuhtanen, Jani (2020)
    Krooninen myelooinen leukemia (KML) on pahanlaatuinen veritauti, jonka ennuste on parantunut merkittävästi tyrosiinikinaasiestäjien (TKE) käyttöönoton jälkeen. Viimeaikaiset hoitokokeilut ovat osoittaneet, että 30–40 % KML-potilaista pystyy lopettamaan TKE-hoidon ilman taudin uudelleen ilmenemistä, mutta tutkimukset eivät ole pystyneet tuottamaan kliiniseen käyttöön tarvittavia parametreja hoitovasteen ennustamiseksi. Elimistön puolustusjärjestelmän aktivoituminen on osoittautunut tärkeäksi tavaksi kasvainsolukon tuhoamiseksi monissa syövissä, joten erot immuunijärjestelmän aktiivisuudessa voisi selittää eroja potilasryhmien välillä myös KML:ssa. Tutkimme tätä hypoteesia hyödyntämällä yksisolutekniikoita ja koneoppimista, joiden avulla voimme tarkastella erikseen syöpää tunnistavia ja syöpää tunnistamattomia immuunisoluja. Kokoamamme tutkimusaineisto käsittää lähes 150 KML-potilaan veri- tai luuydinnäytettä, joista on sekvensoitu yksittäisen immuunisolun tarkkuudella geenien aktiivisuusprofiili (n=25, scRNA+TCRab-seq) tai T-solureseptoriprofiili (n=137, TCRb-seq). Näytteemme käsittävät diagnoosivaiheen lisäksi myös näytteitä ennen TKE-hoidon lopettamista ja sen jälkeen potilailla, joilla tauti ei ole uusinut ja joilla on uusinut. Tutkimuksemme tulokset tarkentavat toimivan immuunijärjestelmän merkitystä TKE-hoidon onnistuneessa lopettamisessa. Vertailumme muihin kiinteisiin ja hematologisiin syöpiin osoittavat etenkin luonnollisten tappajasolujen (NK-solujen) tärkeän roolin KML:ssa ja selvittävät miten NK-solut vuorovaikuttavat KML-syöpäsolukon kanssa. Kouluttamamme koneoppimismalli erottelee tarkasti KML:aa tunnistavat T-solut muita kohteita tunnistavista, ja sen avulla pystymme osoittamaan miten syöpää tunnistavat T-solut liittyvät onnistuneen hoidon lopetukseen. Tutkimuksemme tarjoaa uuden tekoälypohjaisen työkalun lisäksi potentiaalisia mekanismeja, joiden avulla puolustusjärjestelmän soluja voitaisiin aktivoida esimerkiksi uusilla immuunivasteenaktivaationvapauttajilla, jotta yhä useampi potilas voitaisiin lopullisesti parantaa KML:sta.
  • Dürnsteiner, Pia Karoliina (2022)
    Multiple sclerosis (MS) is one of the most common reasons for neurological disability in young adults, yet the aetiology of the disease remains to be discovered. MS involves an autoimmune reaction in the central nervous system, which results in demyelination, axonal degradation, and inflammation. These result in various symptoms, such as motor and sensory disturbances, cognitive symptoms, fatigue, and problems with balance. MS is chronic and progressive, and medications are used to slow the neuronal damage and reduce relapses. The most evident risk factor for MS is Epstein-Barr virus (EBV) infection, as nearly 100% of MS patients are seropositive for the virus. However, the mechanism how EBV contributes to the disease is not known. A highly sensitive quantitative multiplex PCR method was used to examine reactivation of EBV and eight other human herpesviruses in the saliva of MS patients (n=9) and healthy controls (n=7). Single-cell RNA sequencing methods were used to study the cell composition and expression patterns of cerebrospinal fluid (CSF) in treatment-naïve MS patients at the diagnostic phase (n=4) and in controls (n=4). EBV was found to be shedding in eight out of nine MS patients and in only one control, and the viral load was significantly higher in MS patients. Single-cell sequencing of the CSF revealed that MS induces expansion of antibody producing and cytotoxic cell types. Differential expression analysis found that MS CSF B cells significantly express EBNA1BP2, which plays a crucial role in the replication and partitioning of EBV episomes in infected cells. These results support the involvement of EBV in MS. Better knowledge of the viral role in the onset of MS will be useful in the development potential antiviral drugs and EBV vaccination that could even prevent the disease.