No description available.

Auf die Entwicklung der Hochdurchsatz-Sequenzierung (HTS) folgte eine Reihe von speziellen Erweiterungen, die erlauben verschiedene zellbiologischer Aspekte wie Genexpression, DNA-Methylierung, etc. zu messen. Die Analyse dieser Daten erfordert die Entwicklung von Algorithmen, die einzelne Experimenteberücksichtigen oder mehrere Datenquellen gleichzeitig in betracht nehmen. Der letztere Ansatz bietet besondere Vorteile bei Analyse von einzelligen RNA-Sequenzierung (scRNA-seq) Experimenten welche von besonders hohem technischen Rauschen, etwa durch den Verlust an Molekülen durch die Behandlung geringer Ausgangsmengen, gekennzeichnet sind. Um diese experimentellen Defizite auszugleichen, habe ich eine Methode namens netSmooth entwickelt, welche die scRNA-seq-Daten entrascht und fehlende Werte mittels Netzwerkdiffusion über ein Gennetzwerk imputiert. Das Gennetzwerk reflektiert dabei erwartete Koexpressionsmuster von Genen. Unter Verwendung eines Gennetzwerks, das aus Protein-Protein-Interaktionen aufgebaut ist, zeige ich, dass netSmooth anderen hochmodernen scRNA-Seq-Imputationsmethoden bei der Identifizierung von Blutzelltypen in der Hämatopoese, zur Aufklärung von Zeitreihendaten unter Verwendung eines embryonalen Entwicklungsdatensatzes und für die Identifizierung von Tumoren der Herkunft für scRNA-Seq von Glioblastomen überlegen ist. netSmooth hat einen freien Parameter, die Diffusionsdistanz, welche durch datengesteuerte Metriken optimiert werden kann. So kann netSmooth auch dann eingesetzt werden, wenn der optimale Diffusionsabstand nicht explizit mit Hilfe von externen Referenzdaten optimiert werden kann. Eine integrierte Analyse ist auch relevant wenn multi-omics Daten von mehrerer Omics-Protokolle auf den gleichen biologischen Proben erhoben wurden. Hierbei erklärt jeder einzelne dieser Datensätze nur einen Teil des zellulären Systems, während die gemeinsame Analyse ein vollständigeres Bild ergibt. Ich entwickelte eine Methode namens maui, um eine latente Faktordarstellungen von multiomics Daten zu finden. / The development of high throughput sequencing (HTS) was followed by a swarm of protocols utilizing HTS to measure different molecular aspects such as gene expression (transcriptome), DNA methylation (methylome) and more. This opened opportunities for developments of data analysis algorithms and procedures that consider data produced by different experiments. Considering data from seemingly unrelated experiments is particularly beneficial for Single cell RNA sequencing (scRNA-seq). scRNA-seq produces particularly noisy data, due to loss of nucleic acids when handling the small amounts in single cells, and various technical biases. To address these challenges, I developed a method called netSmooth, which de-noises and imputes scRNA-seq data by applying network diffusion over a gene network which encodes expectations of co-expression patterns. The gene network is constructed from other experimental data. Using a gene network constructed from protein-protein interactions, I show that netSmooth outperforms other state-of-the-art scRNA-seq imputation methods at the identification of blood cell types in hematopoiesis, as well as elucidation of time series data in an embryonic development dataset, and identification of tumor of origin for scRNA-seq of glioblastomas. netSmooth has a free parameter, the diffusion distance, which I show can be selected using data-driven metrics. Thus, netSmooth may be used even in cases when the diffusion distance cannot be optimized explicitly using ground-truth labels. Another task which requires in-tandem analysis of data from different experiments arises when different omics protocols are applied to the same biological samples. Analyzing such multiomics data in an integrated fashion, rather than each data type (RNA-seq, DNA-seq, etc.) on its own, is benefitial, as each omics experiment only elucidates part of an integrated cellular system. The simultaneous analysis may reveal a comprehensive view.

No description available.

<p dir="ltr">Pancreatic ductal adenocarcinoma (PDAC) remains one of the most deadliest cancer and despite advancements in cancer therapy, remain highly refractory to treatment, largely due to its desmoplastic tumor microenvironment (TME) characterized by complex interactions among cancer cells and stromal components. Particularly, the PDAC associated coagulation system due to leaky tumor vasculatures plays a pivotal role in reshaping the PDAC stroma and its pathogenesis. Understanding the intricate interplay between tumor cells, stromal cells, and the elevated coagulation pathway elements, including tissue factor, thrombin, and fibrin, is essential for developing effective therapeutic strategies. To address these challenges, this research proposes the engineering of a novel PDAC-associated coagulation system using a microfluidic technology, known as coagulation-on-tumor-microenvironment-on-chip (cT-MOC). The study aims to integrate key coagulation pathways in cT-MOC to investigate pivotal interactions in the PDAC stroma: <i>i)</i> thrombin-protease-activated receptors (PARs) mediated promotion of PDAC fibrosis via activation of cancer-fibroblast cross-talk; <i>ii)</i> in-depth analysis of transport and mechanical properties of collagen-fibrin microstructure; <i>iii)</i> inhibited drug delivery in reprogrammed PDAC stroma due to pronounced fibrin deposition on collagen. By leveraging innovative microfluidic technologies and comprehensive experimental approaches, the research endeavors to provide a novel platform that bridges traditional <i>in vitro</i> and <i>in vivo</i> models to overcome the challenges posed by the desmoplastic TME and enhance therapeutic strategies for treatment by targeting the coagulation at the PDAC TME.</p>

A biodiversidade de plantas brasileiras é uma fonte muito rica de moléculas bioativas, dentro da proposta da busca por novas drogas antitumorais, avaliamos neste estudo o potencial antiproliferativo do composto 7-epi-clusianona. Foram utilizadas duas linhagens celulares derivadas de tumor de mama humana, Hs 578T e MCF-7, cultivadas em monocamada e como esferoides. O IC50 após 48 horas de tratamento das células é de 20 &mu;M para Hs 578T e 6 &mu;M para MCF-7. A análise do ciclo celular mostrou que o composto é capaz de reter as células em fase G1/G0 em ambas as linhagens em 2D, mas não em 3D. O composto é capaz de induzir as células a senescência celular, como mostrado pelo ensaio de detecção de &beta;-galactosidase. Esses dados indicam que o composto 7-epi-clusianona é uma molécula promissora, que demonstrou potencial antitumoral em células de tumor de mama. A cultura tridimensional se mostrou mais resistente ao tratamento com 7-epi-clusianona, portanto estudos mais abrangentes são necessários para melhor entendimento dos efeitos do composto sobre esse tipo de cultura. / Brazilian flora is considered one of the most diverse in the world and natural products are some of the important sources of new antitumoral compounds. The aim of this study was to evaluate the antiproliferative potential of 7-epi-clusianone. Two cell lines derived from human breast tumor were used, Hs 578T and MCF-7, cultured in monolayer and as spheroids. The IC50 after 48 hours of treatment is 20 &mu;M to Hs 578T cells and 6 &mu;M to MCF-7 cells. Cell cycle analysis showed induction of cell cycle arrest in G1/S phase in cells cultured in monolayers, but not in spheroids. The amount of cells in senescence after the treatment with 7-epi-clusianone is higher than the control group, as seen by the senescence &beta;-galactosidase staining assay. These data suggest that 7-epi-clusianone is a promising molecule against breast cancer cells. We show that 3D culture was more resistant to treatment than 2D culture, therefore more comprehensive studies are needed to better understand the effects of 7-epi-clusianone on this kind of culture.

A biodiversidade de plantas brasileiras é uma fonte muito rica de moléculas bioativas, dentro da proposta da busca por novas drogas antitumorais, avaliamos neste estudo o potencial antiproliferativo do composto 7-epi-clusianona. Foram utilizadas duas linhagens celulares derivadas de tumor de mama humana, Hs 578T e MCF-7, cultivadas em monocamada e como esferoides. O IC50 após 48 horas de tratamento das células é de 20 &mu;M para Hs 578T e 6 &mu;M para MCF-7. A análise do ciclo celular mostrou que o composto é capaz de reter as células em fase G1/G0 em ambas as linhagens em 2D, mas não em 3D. O composto é capaz de induzir as células a senescência celular, como mostrado pelo ensaio de detecção de &beta;-galactosidase. Esses dados indicam que o composto 7-epi-clusianona é uma molécula promissora, que demonstrou potencial antitumoral em células de tumor de mama. A cultura tridimensional se mostrou mais resistente ao tratamento com 7-epi-clusianona, portanto estudos mais abrangentes são necessários para melhor entendimento dos efeitos do composto sobre esse tipo de cultura. / Brazilian flora is considered one of the most diverse in the world and natural products are some of the important sources of new antitumoral compounds. The aim of this study was to evaluate the antiproliferative potential of 7-epi-clusianone. Two cell lines derived from human breast tumor were used, Hs 578T and MCF-7, cultured in monolayer and as spheroids. The IC50 after 48 hours of treatment is 20 &mu;M to Hs 578T cells and 6 &mu;M to MCF-7 cells. Cell cycle analysis showed induction of cell cycle arrest in G1/S phase in cells cultured in monolayers, but not in spheroids. The amount of cells in senescence after the treatment with 7-epi-clusianone is higher than the control group, as seen by the senescence &beta;-galactosidase staining assay. These data suggest that 7-epi-clusianone is a promising molecule against breast cancer cells. We show that 3D culture was more resistant to treatment than 2D culture, therefore more comprehensive studies are needed to better understand the effects of 7-epi-clusianone on this kind of culture.

<div>Cancer is responsible for the second highest cause of death in the United States, and lung cancer accounts for 13% of new cancer diagnoses, with the highest rate of cancer death at 24%. Almost 85% of these cases represent non-small cell lung cancer (NSCLC), which includes lung adenocarcinoma, the most common NSCLC subtype. Traditional cancer treatments often only temporarily stop the spread of the disease, but immunotherapies, which are becoming a standard of care, are much more promising. Natural killer (NK) cells are powerful effectors of innate immunity, and genetically engineered NK cells as immunotherapies have had encouraging clinical responses in the treatment of various cancers. However, more progress is needed for solid tumor treatment, especially for lung adenocarcinoma. The activation of cancer-associated ectoenzymes, CD39 and CD73 catalyze the phosphorylation of ATP to AMP to produce extracellular adenosine (ADO), which is a highly immunosuppressive mechanism contributing to the pathogenesis of solid tumors. Understanding adenosine effects on NK cells will help develop more robust immunotherapeutic treatments to improve cytotoxicity against solid tumors. Here, we established that tumor microenvironment ADO results in impaired metabolic and anti-tumor functions of cytokine-primed NK cells. Specifically, peripheral blood-derived NK cells stimulated with IL-2, IL-15, or a combination of IL-12 and IL-15 showed suppressed anti-tumor immunity due to ADO. This was observed by the downregulation of activation receptor expression, cytotoxicity inhibition, impairment of metabolic activity, and alterations in gene expression. To target ADO-producing CD73 on cancer cells, we redirected NK cells by fusing CD73 ScFv with intracellular and transmembrane regions of NK cell specific signaling components derived from FCyRIIIa (CD16). Engineered NK cells were shown to be cytotoxic against lung adenocarcinoma <i>in vitro</i> and impede tumor growth in a lung adenocarcinoma mouse model <i>in vivo</i>. Engineered cells also had higher levels of degranulation and cytokine release, as well as more infiltration into tumors and longer survival time in mice. In summary, the microenvironment of solid tumors is highly immunosupressive, and redirecting NK cell function using a NK-specific anti-CD73 targeting construct will help to promote anti-tumor immunity and</div><div>inhibit cancer growth for a potentially powerful new immunotherapy against solid tumors.</div>

Prostate cancer is one of the most frequently diagnosed cancers and failure to manage localized disease contributes to the majority of deaths. Radiation therapy (RT) is a common treatment for localized prostate cancer and uses ionizing radiation (IR) to damage DNA. Although RT is potentially curative, tumors often recur and progress to terminal disease. The cellular response to RT is multidimensional. For example, cells respond to a single dose of IR by activating the DNA damage response (DDR) to repair the DNA. Targeting proteins involved in the DDR is an effective clinical strategy to sensitize cancer cells to RT. However, multiple radiation treatments, as in fractionated ionizing radiation (FIR), can promote neuroendocrine differentiation (NED). FIR-induced NED is an emerging resistance mechanism to RT and tumors that undergo NED are highly aggressive and remain incurable.<br><br> Currently, the only clinical approach that improves RT for prostate cancer treatment is androgen deprivation therapy (ADT). ADT blocks androgen receptor (AR) signaling which inhibits the repair of DNA damage. In 2017, my lab reported that targeting Protein arginine methyltransferase 5 (PRMT5) blocks AR protein expression. Therefore, targeting PRMT5 may also sensitize prostate cancer cells to RT via a novel mechanism of action.<br><br> This dissertation focuses on the role of PRMT5 in the cellular response to IR and the goal of my work is to validate PRMT5 as a therapeutic target to enhance RT for prostate cancer treatment. I demonstrate that PRMT5 has several roles in the cellular response to IR. Upon a single dose of IR, PRMT5 cooperates with pICln to function as a master epigenetic activator of DDR genes and efficiently repair IR-induced DNA damage. There is an assumption in the field that the methyltransferase activity and epigenetic function of PRMT5 is dependent on the cofactor MEP50. I demonstrate that PRMT5 can function independently of MEP50 and identify pICln as a novel epigenetic cofactor of PRMT5. During FIR, PRMT5, along with both cofactors MEP50 and pICln, are essential for initiation of NED, maintenance of NED, and cell survival. Targeting PRMT5 also sensitizes prostate cancer xenograft tumors in mice to RT, significantly reduces and delays tumor recurrence, and prolongs overall survival. Incredibly, while 100% of control mice died due to tumor burden, targeting PRMT5 effectively cured ~85% of mice from their xenograft tumor. Overall, this work provides strong evidence for PRMT5 as a therapeutic target and suggests that targeting PRMT5 during RT should be assessed clinically.<br>

<p>  </p> <p>Metastatic breast cancer (MBC) is an extremely recalcitrant disease capable of overcoming targeted therapies and evading immune surveillance via the engagement of complicated signaling networks. Resistance to targeted therapies and therapeutic failure of immune checkpoint blockade (ICB) are two major challenges in treating MBC. To survive in the dynamic tumor microenvironment (TME) during metastatic progression, shared signaling nodes are required for MBC cells to regulate the signaling networks efficiently, which are potential multifunctional therapeutic targets. SH2 containing protein tyrosine phosphatase-2 (SHP2) is a druggable oncogenic phosphatase that is a key shared node in both tumor cells and immune cells. How tumor-cell autonomous SHP2 manages its signaling inputs and outputs to facilitate the growth of tumor cells, drug resistance, immunosuppression, and the limited response of ICB in MBC is not fully understood. Herein, we used inducible genetic depletion and two distinct types of pharmacological inhibitors to investigate anti-tumor effects with immune reprogramming during SHP2 targeting. </p> <p>We first focus on the signaling inputs and outputs of SHP2. We find that phosphorylation of SHP2 at Y542 predicts the survival rates of breast cancer patients and their immune profiles. Phosphorylation of SHP2 at Y542 is elevated with differential activation mechanisms under a growth-factor-induced and extracellular matrix (ECM)-rich culture environment. Phosphorylation of SHP2 at Y542 is also elevated in HER2 positive MBC cells upon acquired resistance to the HER2 kinase inhibitor, neratinib. The resistant cells can be targeted by SHP2 inhibitors. SHP2 inhibitors block ERK1/2 and AKT signaling and readily prevented MBC cell growth induced by multiple growth factors. Inhibition of SHP2 also blocks these signaling events generated from the ECM signaling. In fact, the inhibitory effects of SHP2 blockade are actually enhanced in the ECM-rich culture environment. We utilize the <em>in vitro</em> T-cell killing assays and demonstrate that pretreatment of tumor cells with FGF2 and PDGF reduces the cytotoxicity of CD8+ T cells in a SHP2-dependent manner. Both growth factors and ECM-rich culture environment transcriptionally induce PD-L1 via SHP2. SHP2 inhibition balances MAPK signaling and STAT1 signaling, which prevents growth factor-mediated suppression of INF-γ-induced expression of MHC class I. </p> <p>Next, we evaluate the efficacy of SHP2 inhibitors. Blockade of SHP2 in the adjuvant setting decreased pulmonary metastasis <em>in vivo</em> and extended the survival of systemic tumor-bearing mice. Tumor-cell autonomous depletion of SHP2 reduces pulmonary metastasis and relieves exhaustion markers on CD8+ and CD4+ cells. Meanwhile, both systemic SHP2 inhibition and tumor-cell autonomous SHP2 depletion reduce tumor-infiltrated CD4+ T cells and M2-polarized tumor associated macrophages. </p> <p>Finally, we investigate potential combination therapies with SHP2 inhibitors. The combination of SHP2 inhibitors and FGFR-targeted kinase inhibitors synergistically blocks the growth of MBC cells. Pharmacological inhibition SHP2 sensitizes MBC cells growing in the lung to α-PD-L1 antibody treatment via relieving T cell exhaustion induced by ICB. </p> <p>Overall, our findings support the conclusion that MBC cells are capable of simultaneously engaging several survival pathways and immune-suppressive mechanisms via SHP2 in response to multiple growth factors and ECM signaling. Inhibition of SHP2, potentially in combination with other targeted agents and ICB, holds promise for the therapeutic management of MBC.</p>