Biological Phenomena, Cell Phenomena, and Immunity Commons^™

Development Of A Mini Pig Model Of Peanut Allergy, Akhilesh Kumar Shakya, Brittany Backus, Lazar D Nesovic, Malini Mallick, Olivia Banister, Carla M Davis, Sara Anvari, Harvinder Singh Gill

Faculty, Staff and Students Publications

INTRODUCTION: The prevalence of peanut allergies is increasing, emphasizing the need for an animal model to enhance our understanding of peanut allergy pathogenesis and to advance diagnostic tools and therapeutic interventions. While mice are frequently used as model organisms, their allergic responses do not fully mirror those observed in humans, warranting the exploration of a higher animal model. The porcine gastrointestinal system closely resembles that of humans, and exhibits allergy symptoms akin to human responses, making pigs a promising model for peanut allergy research.

METHODS: In this study we compared two allergen sensitization protocols involving either topical allergen application after …

Idppub: Illuminating The Dark Phosphoproteome Through Pubmed Mining, Sara R Savage, Yaoyun Zhang, Eric J Jaehnig, Yuxing Liao, Zhiao Shi, Huy Anh Pham, Hua Xu, Bing Zhang

Faculty, Staff and Students Publications

Global phosphoproteomics experiments quantify tens of thousands of phosphorylation sites. However, data interpretation is hampered by our limited knowledge on functions, biological contexts, or precipitating enzymes of the phosphosites. This study establishes a repository of phosphosites with associated evidence in biomedical abstracts, using deep learning-based natural language processing techniques. Our model for illuminating the dark phosphoproteome through PubMed mining (IDPpub) was generated by fine-tuning BioBERT, a deep learning tool for biomedical text mining. Trained using sentences containing protein substrates and phosphorylation site positions from 3000 abstracts, the IDPpub model was then used to extract phosphorylation sites from all MEDLINE abstracts. …

Mitochondrial-Related Hub Genes In Dermatomyositis: Muscle And Skin Datasets-Based Identification And In Vivo Validation, Shuo Wang, Yiping Tang, Xixi Chen, Siyuan Song, Xi Chen, Qiao Zhou, Li Zeng

Faculty, Staff and Students Publications

Background: Mitochondrial dysfunction has been implicated in the pathogenesis of dermatomyositis (DM), a rare autoimmune disease affecting the skin and muscles. However, the genetic basis underlying dysfunctional mitochondria and the development of DM remains incomplete.

Methods: The datasets of DM muscle and skin tissues were retrieved from the Gene Expression Omnibus database. The mitochondrial related genes (MRGs) were retrieved from MitoCarta. DM-related modules in muscle and skin tissues were identified with the analysis of weighted gene co-expression network (WGCNA), and then compared with the MRGs to obtain the overlapping mitochondrial related module genes (mito-MGs). Subsequently, differential expression genes (DEGs) obtained …

Artificial Intelligence-Powered Discovery Of Small Molecules Inhibiting Ctla-4 In Cancer, Navid Sobhani, Dana Rae Tardiel-Cyril, Dafei Chai, Daniele Generali, Jian-Rong Li, Jonathan Vazquez-Perez, Jing Ming Lim, Rachel Morris, Zaniqua N Bullock, Aram Davtyan, Chao Cheng, William K Decker, Yong Li

Faculty, Staff and Students Publications

BACKGROUND/OBJECTIVES: Checkpoint inhibitors, which generate durable responses in many cancer patients, have revolutionized cancer immunotherapy. However, their therapeutic efficacy is limited, and immune-related adverse events are severe, especially for monoclonal antibody treatment directed against cytotoxic T-lymphocyte-associated protein 4 (CTLA-4), which plays a pivotal role in preventing autoimmunity and fostering anticancer immunity by interacting with the B7 proteins CD80 and CD86. Small molecules impairing the CTLA-4/CD80 interaction have been developed; however, they directly target CD80, not CTLA-4.

SUBJECTS/METHODS: In this study, we performed artificial intelligence (AI)-powered virtual screening of approximately ten million compounds to identify those targeting CTLA-4. We validated the …