Development And Study Of Inhibitors Of Heat Shock Protein 70 Induction

Tumor and cancer cells that over express heat shock protein 70: HSP70) are found to be multidrug resistant and thermo tolerant, creating a hurdle to existing therapy. Although HSP70 is recognized as an increasingly important drug target, the protein structure of this highly conserved chaperone remains challenging for direct targeting. An alternative strategy is to inhibit the transcription of HSP70. Among known small molecule inhibitors of HSP70 induction, quercetin has very low toxicity and has the advantage of being easily modified for structure-activity studies. One part of the dissertation focuses on the identification of quercetin derivatives with improved specificity and activity, and to determine the protein targets of quercetin responsible for inhibition of heat shock induction of HSP70. A library of quercetin derivatives was synthesized and screened for their ability to inhibit HSP70 induction and at the same time not enhance HSP27 phosphorylation. The derivatives that inhibit HSP70 induction were also found to be inhibitors of both Ck2 kinase and CaMKII kinase that are known to activate heat shock transcription factor 1 that leads to HSP70 induction. A biotinylated quercetin affinity agent was also developed that was able to pull down the CK2 kinase target in vitro and several other proteins in vivo under UVA irradiation. In collaboration with mass spectrometry center, these unknown protein targets were identified by proteomic studies, and found to be previously identified chemotherapeutic targets. Another goal of this dissertation was to develop polyamide-based gene inhibitors of heat shock induction that interfere with the binding of the heat shock transcription factor. A series of polyamides that targeted the heat shock elements were designed and synthesized and demonstrated to bind the target DNA by DNase I footprinting. These polyamides were evaluated by gel shift assay for their ability to block binding of the heat shock factor and the most effective polyamide was shown to decrease HSP70 expression in Jurkat cells by western blot assay

DetectGPT-SC: Improving Detection of Text Generated by Large Language Models through Self-Consistency with Masked Predictions

General large language models (LLMs) such as ChatGPT have shown remarkable success, but it has also raised concerns among people about the misuse of AI-generated texts. Therefore, an important question is how to detect whether the texts are generated by ChatGPT or by humans. Existing detectors are built on the assumption that there is a distribution gap between human-generated and AI-generated texts. These gaps are typically identified using statistical information or classifiers. In contrast to prior research methods, we find that large language models such as ChatGPT exhibit strong self-consistency in text generation and continuation. Self-consistency capitalizes on the intuition that AI-generated texts can still be reasoned with by large language models using the same logical reasoning when portions of the texts are masked, which differs from human-generated texts. Using this observation, we subsequently proposed a new method for AI-generated texts detection based on self-consistency with masked predictions to determine whether a text is generated by LLMs. This method, which we call DetectGPT-SC. We conducted a series of experiments to evaluate the performance of DetectGPT-SC. In these experiments, we employed various mask scheme, zero-shot, and simple prompt for completing masked texts and self-consistency predictions. The results indicate that DetectGPT-SC outperforms the current state-of-the-art across different tasks.Comment: 7 pages, 3 figure

Educational mismatch and earnings inequality

We build a model to understand educational mismatch and earnings inequality among highly educated workers. Educational mismatch has a negative wage effect and a positive correlation with wage inequality, for occupuations and college majors. To disentangle different reasons or channels that contribute to wage inequality, we identity the three underlying reasons behind the mismatich-preference, promotion, and search friction-and quantify their impacts. Quantitatively, the preference and promotion channel negatively contribute to an inequality increase from 1990 to 2000; the match premium contributes to a 28.4% increase in inequality; and the contribution of search friction is 5.3%. We conclude that educational mismatch affects earnings inequality significantly and that the impact varies based on the underlying reasons. The study has important policy implications in that it shows that wage inequality can be reduced by policies for improving the education match rate and educational signaling and lowering market friction

Uniqueness and determinacy of the Romer model

In this paper we prove the existence, uniqueness and saddle-point stability of the steady state (or balanced growth path) of the Romer (1990) model by utilizing the reduction of dimensionality. Furthermore, we found out a set of policy instruments to improve the monopolistic competitive equilibrium allocation up to social optimum

Combined PD-1 blockade and GITR triggering induce a potent antitumor immunity in murine cancer models and synergizes with chemotherapeutic drugs

BACKGROUND: The coinhibitory receptor Programmed Death-1 (PD-1) inhibits effector functions of activated T cells and prevents autoimmunity, however, cancer hijack this pathway to escape from immune attack. The costimulatory receptor glucocorticoid-induced TNFR related protein (GITR) is up-regulated on activated T cells and increases their proliferation, activation and cytokine production. We hypothesize that concomitant PD-1 blockade and GITR triggering would synergistically improve the effector functions of tumor-infiltrating T cells and increase the antitumor immunity. In present study, we evaluated the antitumor effects and mechanisms of combined PD-1 blockade and GITR triggering in a clinically highly relevant murine ID8 ovarian cancer model. METHODS: Mice with 7 days-established peritoneal ID8 ovarian cancer were treated intraperitoneally (i.p.) with either control, anti-PD-1, anti-GITR or anti-PD-1/GITR monoclonal antibody (mAb) and their survival was evaluated; the phenotype and function of tumor-associated immune cells in peritoneal cavity of treated mice was analyzed by flow cytometry, and systemic antigen-specific immune response was evaluated by ELISA and cytotoxicity assay. RESULTS: Combined anti-PD-1/GITR mAb treatment remarkably inhibited peritoneal ID8 tumor growth with 20% of mice tumor free 90 days after tumor challenge while treatment with either anti-PD-1 or anti-GITR mAb alone exhibited little antitumor effect. The durable antitumor effect was associated with a memory immune response and conferred by CD4(+) cells and CD8(+) T cells. The treatment of anti-PD-1/GITR mAb increased the frequencies of interferon-γ-producing effector T cells and decreased immunosuppressive regulatory T cells and myeloid-derived suppressor cells, shifting an immunosuppressive tumor milieu to an immunostimulatory state in peritoneal cavity. In addition, combined treatment of anti-PD-1/GITR mAb mounted an antigen-specific immune response as evidenced by antigen-specific IFN-γ production and cytolytic activity of spleen cells from treated mice. More importantly, combined treatment of anti-PD-1/GITR mAb and chemotherapeutic drugs (cisplatin or paclitaxel) further increased the antitumor efficacy with 80% of mice obtaining tumor-free long-term survival in murine ID8 ovarian cancer and 4 T1 breast cancer models. CONCLUSIONS: Combined anti-PD-1/GITR mAb treatment induces a potent antitumor immunity, which can be further promoted by chemotherapeutic drugs. A combined strategy of anti-PD-1/GITR mAb plus cisplatin or paclitaxel should be considered translation into clinic