Internal fertilization occurs in birds and eutherian mammals. Foetal development, however, is either extra- respectively intra-corpore (egg vs uterus). In these animal classes, the female genital tract stores ejaculated spermatozoa into a restricted oviductal segment; the functional pre-ovulatory sperm reservoir, where they survive until ovulation/s occur. Paradoxically, this immunologically foreign sperm suspension in seminal fluid/plasma, often microbiologically contaminated, ought to be promptly eliminated by the female local immune defence which, instead, tolerates its presence. The female immune tolerance is presumably signalled via a biochemical interplay of spermatozoa, as well as the peptides and proteins of the extracellular seminal fluid, with female epithelial and immune cells. Such interplay can result in gene expression shifts in the sperm reservoir in relation to variations in fertility. To further aid our understanding of the underlying mechanisms, this thesis studied the proteome of the seminal fluid (using 2D SDS-PAGE and mass spectrometry) including cytokine content (using Luminex and/or ELISA) of healthy, sexually mature and fertile boars and cocks. As well, gene expression changes (using cDNA microarray) in the oviductal sperm reservoirs of sexually-mature females, mated or artificially infused with homologous sperm-free seminal fluid/plasma were studied. Pigs were of commercial, fertility-selected modern breeds (Landrace), while chicken belonged to the ancestor Red Junglefowl (RJF, low egg laying-capacity), a selected egg-layer White Leghorn (WL) and of their Advanced Intercross Line (AIL). Ejaculates were manually collected as single sample in cocks or as the sperm-rich fraction [SRF] and the post- SRF fraction in boars to harvest seminal fluid/plasma for proteome/cytokine and infusion-studies. Oviducts were retrieved for gene-expression analyses via microarray immediately post-mortem (chicken) or at surgery (pig), 24 h after mating or genital infusion. In pigs, the protein-rich seminal plasma showed the highest amounts of cytokines [interferon-γ, interferon gamma-induced protein 10 (IP-10/CXCL10), macrophage derived chemokine (MDC/CCL22), growth-regulated oncogene (GRO/CXCL1), granulocyte-macrophage colony-stimulating factor (GM-CSF), monocyte chemo-attractant protein-1 (MCP-1/ CCL2), interleukin (IL)-6, IL-8/CXCL8, IL-10, IL-15, IL-17 and transforming growth factor (TGF)-β1-3) in the larger, protein-rich and sperm-poor post-SRF, indicating its main immune signalling influence. Chicken showed also a plethora of seminal fluid proteins with serum albumin and ovotransferrin being conserved through selection/evolution. However, they showed fewer cytokines than pigs, as the anti-inflammatory/immune-modulatory TGF-β2 or the pro-inflammatory CXCL10. The RJF contained fewer immune system process proteins and lacked TGF-β2 compared to WL and AIL, suggesting selection for increased fertility could be associated with higher expression of immune-regulating peptides/proteins. The oviductal sperm reservoir reacted in vivo to semen exposure. In chicken, mating significantly changed the expression of immune-modulatory and pH-regulatory genes in AIL. Moreover, modern fertile pigs (Landrace) and chicken (WL), albeit being taxonomically distant, shared gene functions for preservation of viable sperm in the oviduct. Mating or SP/SF-infusion were able to change the expression of comparable genes involved in pH-regulation (SLC16A2, SLC4A9, SLC13A1, SLC35F1, ATP8B3, ATP13A3) or immune-modulation (IFIT5, IFI16, MMP27, ADAMTS3, MMP3, MMP12). The results of the thesis demonstrate that both mating and components of the sperm-free seminal fluid/plasma elicit gene expression changes in the pre-ovulatory female sperm reservoir of chickens and pigs, some conserved over domestication and fertility-selection.

Despite the recognized advances in the treatment of breast cancer, it still accounts for 15% of all cancer-related deaths. 90% of breast cancer deaths are due to unpredicted metastasis. There is neither successful treatment for metastatic patients nor a specific test to predict or detect secondary lesions. Patients with primary tumor will be either over-treated with cytotoxic side effects or under-treated and risk recurrence. This necessitates the need for personalized treatment, which is hard to offer for such heterogeneous disease. Obstacles in treating breast cancer metastasis are mainly due to the gaps exist in the understanding of the molecular mechanism of metastasis. The linear model of metastasis is supported by several observations that reflect an early crosstalk between the primary and secondary tumor, which in turn makes the secondary microenvironment fertile for the growth of disseminated cells. This communication occurs through circulation and utilizes molecules which have not been identified to date. Identifying such molecules may help in detecting initial stages of tumor colonization and predict the target organ of metastasis. Furthermore, these molecules may help to provide a personalized therapy that aims to tailor treatment according to the biology of the individual tumor. Advances in proteomics allows for more reproducible and sensitive biomarker discovery. Proteomic biomarkers are often more translatable to the clinic compared to biomarkers identified using other omics approaches. Further, protein biomarkers can be found in biological fluids making them a non-invasive way to treat or investigate cancer patients. We present in this manuscript our study of the use of a proteomic approach on blood serum samples of metastatic and non-metastatic patients using LC-MS/MS quantitative analysis machine to identify molecules that could be associated with different stages of breast cancer metastasis. We focused on the deferential expression of low molecular weight biomolecules known to reflect disease-specific signatures. We manually analyzed 2500 individual small biomolecules in each serum sample of total of 51 samples. Comparisons between different sample types (from stage I and III Breast Cancer patients in this case) allows for the detection of unique short peptide biomarkers present in one sample type. We built a multi-biomarker model with more sensitivity and specificity to identify the stage of the tumor and applied them on blinded set of samples to validate prediction power. We hope that our study will provide insights for future work on the collection, analysis, and understanding of role of molecules in metastatic breast cancer.

京都大学 / 0048 / 新制・課程博士 / 博士(医学) / 甲第20240号 / 医博第4199号 / 新制||医||1020(附属図書館) / 京都大学大学院医学研究科医学専攻 / (主査)教授 川口 義弥, 教授 安達 泰治, 教授 小西 靖彦 / 学位規則第4条第1項該当 / Doctor of Medical Science / Kyoto University / DFAM

Dendritische Zellen (DCs) und Makrophagen sind spezialisierte antigenpräsentierende Zellen, die eigene und fremde Antigene prozessieren und mittels Haupthistokompatibilitätsmoleküle, humane Leukozytenantige (HLA) im Menschen, T-Zellen präsentieren, um Toleranzen zu induzieren oder T-Zell-vermittelte Immunantworten zu initiieren. Abhängig von ihrer Differenzierung haben sie spezifische Phänotypen und Funktionen undunterschiedliche Interaktionen mit Pathogenen, in dieser Arbeit durch Leishmania donovani (LD) repräsentiert, welche in Phagolysosomen der Makrophagen propagieren. Der Einfluss der Differenzierungszustände und von intrazelluläre Infektionen auf die Antigenprozessierung und -präsentation waren weitgehend undefiniert. Um hier Einblick zu gewinnen, haben wir die HLA-I-präsentierten Selbstpeptidome von menschlichen unreifen und reifen DCs, die aus der MUTZ3-Zelllinie generiert wurden, und LD-infizierte bzw. nicht-infizierte aus der THP1-Zelllinie generierte Makrophagen mittels Flüssigchromatographie-Tandem-Massenspektrometrie (LC-MS/MS), sowie die Proteasom-Zusammensetzung per RT-PCR und die HLA-Expression und Aktivierungszustände der Zellen per Durchflusszytometrie analysiert und verglichen. Wir fanden, dass die HLA-I-Selbstpeptidome der Zellen heterogen und individualisiert waren, von Nonapeptiden dominiert wurden und ähnliche HLA-Bindungsaffinitäten und Ankerreste aufwiesen. Sie stammten aus Quellenproteinen aus fast allen subzellulären Lokalisationen und mit unterschiedlichen zellulären Funktionen in ähnlichen Anteilen und schlossen Tumor-assoziierter Antigene (TAAs) ein. Die Persistenz der LD hatte keinen Einfluß auf den Aktivierungszustand der Makrophagen, verursachte aber eine weitgehende Veränderungen des Peptidoms, der HLA-Bindungsaffinitäten und Ankerreste, der Quellproteine einschließlich TAAs und der HLA- und Proteasom-Expression. / Dendritic cells (DCs) and macrophages are specialized antigen presenting cells that process self and foreign antigens and present them to T cells via major histocompatibility complex molecules, human leukocyte antigens (HLA) in humans, for induction of tolerance or initiation of T cell-mediated immune responses. Related to differentiation state, they have specific phenotypes and functions, and varied interactions with pathogens herein exemplified by Leishmania donovani (LD) that parasitize macrophages and propagate within their phagolysosomes. The impact of the differentiation state and intracellular infection on antigen processing and presentation by HLA class I remained undefined. To gain insight, we analyzed and compared the HLA-I self peptidomes of MUTZ3 cell line-derived human immature and mature DCs, and THP1 cell line-derived LD-infected and none-infected macrophages by liquid chromatography-tandem mass spectrometry (LC-MS/MS), as well as proteasome compositions by quantitative RT-PCR, and HLA expression and cell activation states by flow cytometry. We found that the HLA I-presented self-peptidomes of the cells in the different states were heterogeneous and individualized, dominated by nonapeptides with similar HLA binding affinities and anchor residues. They were sampled from source proteins of almost all subcellular locations and from proteins involved in various cellular functions in similar proportion including tumour-associated antigens (TAAs). The persistence of LD within the macrophage, did not affect macrophage activation. However, its impact was observed in self-peptidome heterogeneity, HLA binding affinities, anchor residue preferences, source protein peptide sampling (including TAAs) and HLA and proteasome expression.