Digital Commons Network^™

High-Throughput Multi-Organ Proteomics Workflow For Drug Efficacy And Toxicity Analysis, Yun Xiong, Lin Tan, Wai-Kin Chan, Dandan Zhu, Huimin Zhang, Eric S Yin, Sri Ramya Donepudi, Jibin Ding, Bo Wei, Bao Tran, Sara Martinez, Iqbal Mahmud, Faiza Hanif Waghu, Hamish I Stewart, Daniel J Hermanson, Rehan Akbani, John N Weinstein, Junjie Chen, Philip L Lorenzi

Faculty, Staff and Student Publications

Rapid and comprehensive analysis of complex proteomes across large sample sets is vital for unlocking the potential of systems biology. We present a high-throughput mass spectrometry (MS) proteomics method that integrates narrow-window data-independent acquisition (nDIA) with short-gradient micro-flow chromatography, enabling profiling of >240 samples per day. This optimized MS approach identifies 6,201 and 7,466 human proteins with 1- and 2-min gradients, respectively. As a practical application, we analyzed 507 samples composed of 13 different tissues from mice treated with the enzyme-drug L-asparaginase (ASNase) or its glutaminase-free Q59L mutant, generating a quantitative profile of 11,472 proteins following drug treatment. The MS …

Characterization Of Inflammatory Pseudotumors In A Large Animal Model Of Liver Cancer, Erik N K Cressman, Samantha Hicks, Natalie W Fowlkes, Danielle L Stolley, Maria Sophia Stenkamp

Faculty, Staff and Student Publications

Background: The development of relevant and robust large animal models of hepatocellular carcinoma is needed to test new therapeutic strategies for this disease. Transgenic approaches hold promise in addressing this complex problem. One such model, the Oncopig, has been reported to develop tumors of up to 4 cm in diameter within 7-14 days at sites of in situ vector inoculation. However, the resulting lesions reportedly contained an extensive inflammatory component that has not been evaluated in detail.

Methods: Herein, we describe our results from multiparametric characterization of the lesions generated using liver biopsy cores incubated in vector solution and replaced …

Poly(A) Probe Hcr Rna-Fish Specifically Marks Pyriform Nurse Cells In The Brown Anole Lizard Ovary, Zoe B Griffin, Bonnie K Kircher, Richard R Behringer

Faculty, Staff and Student Publications

Hybridization chain reaction RNA-fluorescent in situ hybridization (HCR RNA-FISH) is a powerful and increasingly used method for visualizing gene expression in cells and tissues. A probe set against polyadenylated RNA (poly(A)) is often used as a positive control for RNA integrity and staining quality. While optimizing this technique in the ovary of the brown anole lizard (Anolis sagrei), we found that the poly(A) probe produced a strikingly specific and intense signal in pyriform cells, a specialized lizard-specific nurse cell type. This staining pattern was found in both whole-mount samples and paraffin sections, suggesting that poly(A) signal intensity can serve as …

Semi-Supervised Learning For Annotation And Representation Of Single-Cell Rna Sequencing And Spatial Transcriptomics Data, Haoran Liu

Dissertations

Semi-supervised learning has emerged as a powerful paradigm for analyzing single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) data, where full annotation is often costly or impractical. scRNA-seq technologies measure the expression of thousands of genes across tens of thousands of cells, whereas ST additionally captures the spatial coordinates of gene expression within intact tissue sections. Annotation is a key step in both scRNA-seq and ST analysis pipelines, aiming to identify cell types, spatial domains, and latent biological structures. However, most existing annotation approaches rely on separate clustering methods that are typically fully unsupervised and fail to leverage side information …

Computational Methods For Single-Cell And Multi-Omic Data Integration And Regulatory Network Inference, Jianlan Ren

Dissertations

Single-cell and multi-omic technologies have transformed the dissection of cellular heterogeneity and regulatory dynamics in health and disease. However, the high dimensionality, technical variability, and biological complexity of these datasets present significant challenges for integration, annotation, and interpretation. In this dissertation, a suite of computational approaches is introduced to address key problems in single-cell and multi-omic data analysis through model-based innovations and applied statistical frameworks.

First, a constrained deep learning framework for single-cell data integration, label transfer, and clustering is proposed. By incorporating biologically motivated constraints into the training process, robust performance is achieved across simulated and benchmark datasets spanning …

Mitochondrial Insoluble Aggregates In Aging And Alzheimer’S Disease Models: Cross-Species Proteomic Integration, Identification Of Conserved Candidates, And Pharmacological Disruption Of Eef-2 Interactions, Sonu Pahal

Theses and Dissertations

Protein aggregation within mitochondria emerges early in both aging and Alzheimer’s disease (AD) and contributes to progressive loss of proteostasis. Insoluble mitochondrial aggregate fractions from Caenorhabditis elegans revealed extensive enrichment of metabolic and translational proteins that also appear in human Alzheimer hippocampal aggregates. Comparative analysis across age and genotype identified a conserved subset of aggregation-prone proteins, several of which cluster around elongation factor 2 (eEF-2), a regulator of ribosomal translocation and energy coupling. Cross-species integration defined a network in which eEF-2 links chaperones, metabolic enzymes, and RNA-binding proteins that co-aggregate in both human Alzheimer material and nematode models. Functional tests …

The Lung Cancer Autochthonous Model Gene Expression Database Enables Cross-Study Comparisons Of The Transcriptomic Landscapes Across Mouse Models, Ling Cai, Fangjiang Wu, Qinbo Zhou, Ying Gao, Bo Yao, Ralph J Deberardinis, George K Acquaah-Mensah, Vassilis Aidinis, Jennifer E Beane, Shyam Biswal, Ting Chen, Carla P Concepcion-Crisol, Barbara M Grüner, Deshui Jia, Robert A Jones, Jonathan M Kurie, Min Gyu Lee, Per Lindahl, Yonathan Lissanu, Corina Lorz, David Macpherson, Rosanna Martinelli, Pawel K Mazur, Sarah A Mazzilli, Shinji Mii, Herwig P Moll, Roger A Moorehead, Edward E Morrisey, Sheng Rong Ng, Matthew G Oser, Arun R Pandiri, Charles A Powell, Giorgio Ramadori, Mirentxu Santos, Eric L Snyder, Rocio Sotillo, Kang-Yi Su, Tetsuro Taki, Kekoa Taparra, Phuoc T Tran, Yifeng Xia, J Edward Van Veen, Monte M Winslow, Guanghua Xiao, Charles M Rudin, Trudy G Oliver, Yang Xie, John D Minna

Faculty, Staff and Student Publications

Lung cancer, the leading cause of cancer mortality, exhibits diverse histological subtypes and genetic complexities. Numerous preclinical mouse models have been developed to study lung cancer, but data from these models are disparate, siloed, and difficult to compare in a centralized fashion. In this study, we established the Lung Cancer Autochthonous Model Gene Expression Database (LCAMGDB), an extensive repository of 1,354 samples from 77 transcriptomic datasets covering 974 samples from genetically engineered mouse models (GEMMs), 368 samples from carcinogen-induced models, and 12 samples from a spontaneous model. Meticulous curation and collaboration with data depositors produced a robust and comprehensive database, …

Kinasefusiondb: An Integrative Knowledge Of Kinase Fusion Proteins In Multi-Scales, Himansu Kumar, Zikang Chen, Abayomi Adegunlehin, Loren Trowbridge, Leonardo Aguilar, Pora Kim

Faculty, Staff and Student Publications

Kinase fusion genes were the most targeted fusion gene group among multiple major cellular gene groups. Kinase inhibitors disrupt aberrant signaling cascades and inhibit tumor progression, yet the specific mechanisms of action of the U.S. Food and Drug Administration (FDA)-approved inhibitors in the context of kinase fusion oncoproteins remain largely unknown. This gap limits our ability to develop personalized therapies and next-generation kinase inhibitors. To address this, we developed a novel in silico pipeline for predicting 3D structures of kinase fusion proteins and performing structure-based virtual screening. This approach enables large-scale structural annotation and drug screening across pan-cancer kinase fusions. …

Gene Promoters Are Genomically Encoded To Facilitate Histone Exchange/Incorporation, Blaine Bartholomew

Faculty, Staff and Student Publications

Gene promoters are intrinsically hardwired not only to facilitate transcription preinitiation complex formation but also the release of paused RNA polymerase by H2A.Z. A new PLOS Biology study reveals poly (dA) tracts at promoters positively stimulate H2A.Z incorporation by the SWR complex in yeast.

Idh Status Dictates Ohsv Mediated Metabolic Reprogramming Affecting Anti-Tumor Immunity, Upasana Sahu, Matthew P Mullarkey, Sara A Murphy, Joshua C Anderson, Vasanta Putluri, Abu Hena Mostafa Kamal, Jun Hyoung Park, Tae Jin Lee, Alexander L Ling, Benny A Kaipparettu, Ashok Sharma, Nagireddy Putluri, Pamela L Wenzel, Christopher D Willey, E Antonio Chiocca, James M Markert, Balveen Kaur

Faculty, Staff and Student Publications

Identification of isocitrate dehydrogenase (IDH) mutations has uncovered the crucial role of metabolism in gliomagenesis. Oncolytic herpes virus (oHSV) initiates direct tumor debulking by tumor lysis and activates anti-tumor immunity, however, little is known about the role of glioma metabolism in determining oHSV efficacy. Here we identify that oHSV rewires central carbon metabolism increasing glucose utilization towards oxidative phosphorylation and shuttling glutamine towards reductive carboxylation in IDH wildtype glioma. The switch in metabolism results in increased lipid synthesis and cellular ROS. PKC induces ACSL4 in oHSV treated cells leading to lipid peroxidation and ferroptosis. Ferroptosis is critical to launch an …

Fusionpub, A Therapeutic Landscape Of Human Fusion Genes, Himansu Kumar, Abayomi Adegunlehin, Zikang Chen, Pora Kim

Faculty, Staff and Student Publications

To advance the development of fusion protein-targeting therapeutics, it is crucial to understand how patients with fusion oncoproteins have been treated and what small molecules have been studied. To fill this gap, we developed FusionPub, a knowledgebase of the therapeutic landscape of human fusion genes. We searched PubMed abstracts for 107K human fusion genes with 14K drugs. We also searched PubMed abstracts for 18K human fusion proteins, considering all gene synonyms of individual partner genes with 14K drugs. After manual curation, we found 17 342 records from 9623 PubMed abstracts. For these fusion genes and drugs, we provide a summary …

Taming Biological Complexity Through The Use Of Symmetries, Luis A. Álvarez-García

Dissertations, Theses, and Capstone Projects

The study of biological systems is, inherently, the study of very complex systems. This is essentially due to the fact that they are made up of numerous, often very complicated, interactions between an extensive number of components. Often necessitating an abundance of quantitative parameters and details for a precise description. The human brain for ex- ample, consisting of ∼ 80 billion neurons with ∼ 800 to 100 trillion connections between them, each of them depending on a large set of parameters. Even simpler examples such as bacterial organisms, such as E. coli and B. subtilis, which we focus on …

Targeted Degradation Of Oncogenic Krasg12v Triggers Antitumor Immunity In Lung Cancer Models, Dezhi Li, Ke Geng, Yuan Hao, Jiajia Gu, Saurav Kumar, Annabel T Olson, Christina C Kuismi, Hye Mi Kim, Yuanwang Pan, Fiona Sherman, Asia M Williams, Yiting Li, Fei Li, Ting Chen, Cassandra Thakurdin, Michela Ranieri, Mary Meynardie, Daniel S Levin, Janaye Stephens, Alison Chafitz, Joy Chen, Mia S Donald-Paladino, Jaylen M Powell, Ze-Yan Zhang, Wei Chen, Magdalena Ploszaj, Han Han, Shengqing Stan Gu, Tinghu Zhang, Baoli Hu, Benjamin A Nacev, Medard Ernest Kaiza, Alice H Berger, Xuerui Wang, Jing Li, Xuejiao Sun, Yang Liu, Xiaoyang Zhang, Tullia C Bruno, Nathanael S Gray, Behnam Nabet, Kwok-Kin Wong, Hua Zhang

Faculty, Staff and Student Publications

Kirsten rat sarcoma viral oncogene homolog (KRAS) is the most frequently mutated oncogene in lung adenocarcinoma, with G12C and G12V being the most predominant forms. Recent breakthroughs in KRASG12C inhibitors have transformed the clinical management of patients with the G12C mutation and advanced our understanding of the function of this mutation. However, little is known about the targeted disruption of KRASG12V, partly due to a lack of specific inhibitors. Here, we leverage the degradation tag (dTAG) system to develop a KRASG12V-transgenic mouse model. We explored the therapeutic potential of KRASG12V degradation and characterized its effect on the tumor microenvironment (TME). …

Mimicking Large Spot-Scanning Radiation Fields For Proton Flash Preclinical Studies With A Robotic Motion Platform, Fada Guan, Dadi Jiang, Xiaochun Wang, Ming Yang, Kiminori Iga, Yuting Li, Lawrence Bronk, Julianna Bronk, Liang Wang, Youming Guo, Narayan Sahoo, David R Grosshans, Albert C Koong, Xiaorong R Zhu, Radhe Mohan

Faculty, Staff and Student Publications

Previously, a synchrotron-based horizontal proton beamline (87.2 MeV) was successfully commissioned to deliver radiation doses in FLASH and conventional dose rate modes to small fields and volumes. In this study, we developed a strategy to increase the effective radiation field size using a custom robotic motion platform to automatically shift the positions of biological samples. The beam was first broadened with a thin tungsten scatterer and shaped by customized brass collimators for irradiating cell/organoid cultures in 96-well plates (a 7-mm-diameter circle) or for irradiating mice (1-cm

Asxl1/Tet2 Genotype-Based Risk Stratification Outperforms Asxl1 Mutational Impact And Is Independent Of Mutant Variant Allele Fractions In Chronic Myelomonocytic Leukemia, Clifford M Csizmar, Mark Gurney, Rashmi Kanagal-Shamanna, Kelly Chien, Danielle Hammond, Terra L Lasho, Christy M Finke, Christopher Dean, Anuya Natu, Abhishek A Mangaonkar, Aref Al-Kali, Naseema Gangat, Ayalew Tefferi, Hassan Alkhateeb, Guillermo Garcia-Manero, Rami S Komrokji, Najla A Ali, Eric Padron, Guillermo Montalban-Bravo, Mrinal M Patnaik

Faculty, Staff and Student Publications

No abstract provided.

Loss Of Symmetric Cell Division Of Apical Neural Progenitors Drives Dennd5a-Related Developmental And Epileptic Encephalopathy, Emily Banks, Vincent Francis, Sheng-Jia Lin, Fares Kharfallah, Vladimir Fonov, Maxime Lévesque, Chanshuai Han, Gopinath Kulasekaran, Marius Tuznik, Armin Bayati, Reem Al-Khater, Fowzan S Alkuraya, Loukas Argyriou, Meisam Babaei, Melanie Bahlo, Behnoosh Bakhshoodeh, Eileen Barr, Lauren Bartik, Mahmoud Bassiony, Miriam Bertrand, Dominique Braun, Rebecca Buchert, Mauro Budetta, Maxime Cadieux-Dion, Daniel G Calame, Heidi Cope, Donna Cushing, Stephanie Efthymiou, Marwa Abd Elmaksoud, Huda G El Said, Tawfiq Froukh, Harinder K Gill, Joseph G Gleeson, Laura Gogoll, Elaine S-Y Goh, Vykuntaraju K Gowda, Tobias B Haack, Mais O Hashem, Stefan Hauser, Trevor L Hoffman, Jacob S Hogue, Akimoto Hosokawa, Henry Houlden, Kevin Huang, Stephanie Huynh, Ehsan G Karimiani, Silke Kaulfuß, G Christoph Korenke, Amy Kritzer, Hane Lee, James R Lupski, Elysa J Marco, Kirsty Mcwalter, Arakel Minassian, Berge A Minassian, David Murphy, Juanita Neira-Fresneda, Hope Northrup, Denis M Nyaga, Barbara Oehl-Jaschkowitz, Matthew Osmond, Richard Person, Davut Pehlivan, Cassidy Petree, Lynette G Sadleir, Carol Saunders, Ludger Schoels, Vandana Shashi, Rebecca C Spillmann, Varunvenkat M Srinivasan, Paria N Torbati, Tulay Tos, Maha S Zaki, Dihong Zhou, Christiane Zweier, Jean-François Trempe, Thomas M Durcan, Ziv Gan-Or, Massimo Avoli, Cesar Alves, Gaurav K Varshney, Reza Maroofian, David A Rudko, Peter S Mcpherson

Faculty, Staff and Student Publications

Developmental and epileptic encephalopathies (DEEs) feature altered brain development, developmental delay and seizures, with seizures exacerbating developmental delay. Here we identify a cohort with biallelic variants in DENND5A, encoding a membrane trafficking protein, and develop animal models with phenotypes like the human syndrome. We demonstrate that DENND5A interacts with Pals1/MUPP1, components of the Crumbs apical polarity complex required for symmetrical division of neural progenitor cells. Human induced pluripotent stem cells lacking DENND5A fail to undergo symmetric cell division with an inherent propensity to differentiate into neurons. These phenotypes result from misalignment of the mitotic spindle in apical neural progenitors. Cells …

Molecular Insights Into Propylthiouracil As A Thyroid Peroxidase Inhibitor: A Computational Study Approach, Dwi Anita Suryandari, Luluk Yunaini, Hadi Sunaryo, Khaerunissa Anbar Istiadi, Irandi Putra Pratomo

Indonesian Journal of Medical Chemistry and Bioinformatics

Thyroid peroxidase (TPO) is a crucial enzyme in the biosynthesis of thyroid hormones, catalyzing the iodination of tyrosine residues in thyroglobulin and the coupling of iodotyrosines to form thyroxine (T4) and triiodothyronine (T3). Propylthiouracil (PTU) is an antithyroid drug commonly used to manage hyperthyroidism by inhibiting TPO. Understanding the molecular interactions between TPO and PTU can provide insights into the inhibitory mechanisms and guide the design of more effective antithyroid medications. Objective: This study aims to elucidate the binding interactions between TPO and PTU through molecular docking, providing a detailed understanding of how PTU inhibits TPO activity. Methods: …

The Dynamic Trpv2 Ion Channel Proximity Proteome Reveals Functional Links Of Calcium Flux With Cellular Adhesion Factors Ncam And L1cam In Neurite Outgrowth, Pamela N Gallo, Elaine Mihelc, Robyn Eisert, Gary A Bradshaw, Florian Dimek, Andreas Leffler, Marian Kalocsay, Vera Moiseenkova-Bell

Faculty, Staff and Student Publications

TRPV2 voltage-insensitive, calcium-permeable ion channels play important roles in cancer progression, immune response, and neuronal development. Despite TRPV2's physiological impact, underlying endogenous proteins mediating TRPV2 responses and affected signaling pathways remain elusive. Using quantitative peroxidase-catalyzed (APEX2) proximity proteomics we uncover dynamic changes in the TRPV2-proximal proteome and identify calcium signaling and cell adhesion factors recruited to the molecular channel neighborhood in response to activation. Quantitative TRPV2 proximity proteomics further revealed activation-induced enrichment of protein clusters with biological functions in neural and cellular projection. We demonstrate a functional connection between TRPV2 and the neural immunoglobulin cell adhesion molecules NCAM and L1CAM. …

Navigating The Critical Translational Questions For Implementing Flash In The Clinic, Billy W Loo, Ioannis I Verginadis, Brita Singers Sørensen, Anthony E Mascia, John P Perentesis, Albert C Koong, Emil Schüler, Erinn B Rankin, Peter G Maxim, Charles L Limoli, Marie-Catherine Vozenin

Faculty, Staff and Student Publications

The "FLASH effect" is an increased therapeutic index, that is, reduced normal tissue toxicity for a given degree of anti-cancer efficacy, produced by ultra-rapid irradiation delivered on time scales orders of magnitude shorter than currently conventional in the clinic for the same doses. This phenomenon has been observed in numerous preclinical in vivo tumor and normal tissue models. While the underlying biological mechanism(s) remain to be elucidated, a path to clinical implementation of FLASH can be paved by addressing several critical translational questions. Technological questions pertinent to each beam type (eg, electron, proton, photon) also dictate the logical progression of …

Assessing The Impact Of Storage Conditions On Rna From Human Saliva And Its Application To The Identification Of Mrna Biomarkers For Asthma, Poorna Manasa Bhamidimarri, David Fuentes, Laila Salameh, Bassam Mahboub, Rifat Hamoudi

Faculty, Staff and Student Publications

Introduction: Human saliva was used to develop non-invasive liquid biopsy biomarkers to establish saliva as an alternate to blood and plasma in translational research. The present study focused on understanding the impact of sample storage conditions on the extraction of RNA from saliva and the RNA yield, to be applied in clinical diagnosis. In this study, genes related to asthma were used to test the method developed.

Methods: Salivary RNA was extracted from three subjects using the Qiazol® based method and quantified by both spectrophotometric (NanoDrop) and fluorometric (Qubit®) methods. RNA integrity was measured using a bioanalyzer. Quantitative PCR was …

Deparylation Is Critical For S Phase Progression And Cell Survival, Litong Nie, Chao Wang, Min Huang, Xiaoguang Liu, Xu Feng, Mengfan Tang, Siting Li, Qinglei Hang, Hongqi Teng, Xi Shen, Li Ma, Boyi Gan, Junjie Chen

Faculty, Staff and Student Publications

Poly(ADP-ribose)ylation or PARylation by PAR polymerase 1 (PARP1) and dePARylation by poly(ADP-ribose) glycohydrolase (PARG) are equally important for the dynamic regulation of DNA damage response. PARG, the most active dePARylation enzyme, is recruited to sites of DNA damage via pADPr-dependent and PCNA-dependent mechanisms. Targeting dePARylation is considered an alternative strategy to overcome PARP inhibitor resistance. However, precisely how dePARylation functions in normal unperturbed cells remains elusive. To address this challenge, we conducted multiple CRISPR screens and revealed that dePARylation of S phase pADPr by PARG is essential for cell viability. Loss of dePARylation activity initially induced S-phase-specific pADPr signaling, which …

Cytogenetic And Molecular Associations With Outcomes In Higher-Risk Myelodysplastic Syndromes Treated With Hypomethylating Agents Plus Venetoclax, Alexandre Bazinet, Sai Prasad Desikan, Ziyi Li, Juan Jose Rodriguez-Sevilla, Sangeetha Venugopal, Samuel Urrutia, Guillermo Montalban-Bravo, Koji Sasaki, Kelly S Chien, Danielle Hammond, Rashmi Kanagal-Shamanna, Irene Ganan-Gomez, Tapan M Kadia, Gautam Borthakur, Courtney D Dinardo, Naval G Daver, Elias J Jabbour, Farhad Ravandi, Hagop Kantarjian, Guillermo Garcia-Manero

Faculty, Staff and Student Publications

Purpose: Hypomethylating agents (HMA) combined with venetoclax are an emerging therapeutic strategy for higher-risk myelodysplastic syndromes (HR-MDS). The cytogenetic and molecular factors associated with outcomes with this combination for HR-MDS are incompletely understood.

Experimental design: We pooled patient data from 3 prospective trials evaluating HMA-venetoclax in HR-MDS to study associations between cytogenetic and molecular factors and overall response rate (ORR), overall survival (OS), and event-free survival (EFS). The Kaplan-Meier method was used to estimate time-to-event endpoints. Univariate and multivariate analyses using logistic regression (for ORR) or the Cox proportional hazards model (for OS and EFS) were used to identify associations …

Gut Microbiota Composition Is Associated With The Efficacy Of Delta-24-Rgdox In Malignant Gliomas, Natalie M Meléndez-Vázquez, Teresa T Nguyen, Xuejun Fan, Andrés R López-Rivas, Juan Fueyo, Candelaria Gomez-Manzano, Filipa Godoy-Vitorino

Faculty, Staff and Student Publications

Glioblastoma, the most common primary brain tumor, has a 6.8% survival rate 5 years post diagnosis. Our team developed an oncolytic adenovirus with an OX-40L expression cassette named Delta-24-RGDOX. While studies have revealed the interaction between the gut microbiota and immunotherapy agents, there are no studies linking the gut microbiota with viroimmunotherapy efficacy. We hypothesize that gut bacterial signatures will be associated with oncolytic viral therapy efficacy. To test this hypothesis, we evaluated the changes in gut microbiota in two mouse cohorts: (1) GSC-005 glioblastoma-bearing mice treated orally with indoximod, an immunotherapeutic agent, or with Delta-24-RGDOX by intratumoral injection and …

Gut Microbiota Composition Is Associated With The Efficacy Of Delta-24-Rgdox In Malignant Gliomas, Natalie M Meléndez-Vázquez, Teresa T Nguyen, Xuejun Fan, Andrés R López-Rivas, Juan Fueyo, Candelaria Gomez-Manzano, Filipa Godoy-Vitorino

Faculty, Staff and Student Publications

Glioblastoma, the most common primary brain tumor, has a 6.8% survival rate 5 years post diagnosis. Our team developed an oncolytic adenovirus with an OX-40L expression cassette named Delta-24-RGDOX. While studies have revealed the interaction between the gut microbiota and immunotherapy agents, there are no studies linking the gut microbiota with viroimmunotherapy efficacy. We hypothesize that gut bacterial signatures will be associated with oncolytic viral therapy efficacy. To test this hypothesis, we evaluated the changes in gut microbiota in two mouse cohorts: (1) GSC-005 glioblastoma-bearing mice treated orally with indoximod, an immunotherapeutic agent, or with Delta-24-RGDOX by intratumoral injection and …

Label-Aware Distance Mitigates Temporal And Spatial Variability For Clustering And Visualization Of Single-Cell Gene Expression Data, Shaoheng Liang, Jinzhuang Dou, Ramiz Iqbal, Ken Chen

Faculty, Staff and Student Publications

Clustering and visualization are essential parts of single-cell gene expression data analysis. The Euclidean distance used in most distance-based methods is not optimal. The batch effect, i.e., the variability among samples gathered from different times, tissues, and patients, introduces large between-group distance and obscures the true identities of cells. To solve this problem, we introduce Label-Aware Distance (LAD), a metric using temporal/spatial locality of the batch effect to control for such factors. We validate LAD on simulated data as well as apply it to a mouse retina development dataset and a lung dataset. We also found the utility of our …

Chimeric Oncolytic Adenovirus Evades Neutralizing Antibodies From Human Patients And Exhibits Enhanced Anti-Glioma Efficacy In Immunized Mice, Dong Ho Shin, Hong Jiang, Andrew G Gillard, Debora Kim, Xuejun Fan, Sanjay K Singh, Teresa T Nguyen, Sagar S Sohoni, Andres R Lopez-Rivas, Akhila Parthasarathy, Chibawanye I Ene, Joy Gumin, Frederick F Lang, Marta M Alonso, Candelaria Gomez-Manzano, Juan Fueyo

Faculty, Staff and Student Publications

Oncolytic viruses are a promising treatment for patients with high-grade gliomas, but neutralizing antibodies can limit their efficacy in patients with prior virus exposure or upon repeated virus injections. Data from a previous clinical trial using the oncolytic adenovirus Delta-24-RGD showed that generation of anti-viral neutralizing antibodies may affect the long-term survival of glioma patients. Past studies have examined the effects of neutralizing antibodies during systemic virus injections, but largely overlooked their impact during local virus injections into the brain. We found that immunoglobulins colocalized with viral proteins upon local oncolytic virotherapy of brain tumors, warranting a strategy to prevent …

Androgen Drives Melanoma Invasiveness And Metastatic Spread By Inducing Tumorigenic Fucosylation, Qian Liu, Emma Adhikari, Daniel K Lester, Bin Fang, Joseph O Johnson, Yijun Tian, Andrea T Mockabee-Macias, Victoria Izumi, Kelly M Guzman, Michael G White, John M Koomen, Jennifer A Wargo, Jane L Messina, Jianfei Qi, Eric K Lau

Faculty, Staff and Student Publications

Melanoma incidence and mortality rates are historically higher for men than women. Although emerging studies have highlighted tumorigenic roles for the male sex hormone androgen and its receptor (AR) in melanoma, cellular and molecular mechanisms underlying these sex-associated discrepancies are poorly defined. Here, we delineate a previously undisclosed mechanism by which androgen-activated AR transcriptionally upregulates fucosyltransferase 4 (FUT4) expression, which drives melanoma invasiveness by interfering with adherens junctions (AJs). Global phosphoproteomic and fucoproteomic profiling, coupled with in vitro and in vivo functional validation, further reveal that AR-induced FUT4 fucosylates L1 cell adhesion molecule (L1CAM), which is required for FUT4-increased metastatic …

Pluripotency Of A Founding Field: Rebranding Developmental Biology, Crystal D Rogers, Chris Amemiya, Swathi Arur, Leslie Babonis, Michael Barresi, Madelaine Bartlett, Richard Behringer, Blair Benham-Pyle, Dominique Bergmann, Ben Blackman, C Titus Brown, Bill Browne, Jasmin Camacho, Chiswili Yves Chabu, Ida Chow, Ondine Cleaver, Jonah Cool, Megan Y Dennis, Alexandra Jazz Dickinson, Stefano Di Talia, Margaret Frank, Stewart Gillmor, Eric S Haag, Iswar Hariharan, Richard Harland, Aman Husbands, Loydie Jerome-Majewska, Kristen Koenig, Carole Labonne, Michael Layden, Chris Lowe, Madhav Mani, Megan Martik, Katelyn Mckown, Cecilia Moens, Christian Mosimann, Joyce Onyenedum, Robert Reed, Ajna Rivera, Dan Rokhsar, Loic Royer, Flora Rutaganira, Rachel Shahan, Neelima Sinha, Billie Swalla, Jaimie M Van Norman, Daniel E Wagner, Athula Wikramanayake, Sophia Zebell, Siobhán M Brady

Faculty, Staff and Student Publications

The field of developmental biology has declined in prominence in recent decades, with off-shoots from the field becoming more fashionable and highly funded. This has created inequity in discovery and opportunity, partly due to the perception that the field is antiquated or not cutting edge. A 'think tank' of scientists from multiple developmental biology-related disciplines came together to define specific challenges in the field that may have inhibited innovation, and to provide tangible solutions to some of the issues facing developmental biology. The community suggestions include a call to the community to help 'rebrand' the field, alongside proposals for additional …

Investigating The Protein Interactome Of Escherichia Coli To Understand Metabolic Regulation When Proteins Bind: A Systems Biology Study., Shomeek Chowdhury

Theses and Dissertations

Proteins bind other proteins and work together as machines to perform many biological functions. Metabolic enzymes governing the life-sustaining metabolic reactions and therefore, metabolism are proteins which also binds other proteins. In this dissertation work, I have explored proteins when they interact with metabolic enzymes, play any role in regulating the cell’s metabolism. I study this phenomenon in Escherichia coli whose protein-protein interaction data is readily available in public databases with proper reference to the experimental study. Another good reason is the predictions we make in this computational study can be tested and validated in E. coli as it is …

A Computational Exploration: Docking Analysis Of Compounds From Foeniculum Vulgare As Potential Aromatase Inhibitors For Endometriosis Candidate Therapy, Dwi Anita Suryandari, Puji Sari, Hadi Sunaryo, Khaerunissa Anbar Istiadi

Indonesian Journal of Medical Chemistry and Bioinformatics

Aromatase inhibitors (AI) have controlling symptoms and size of endometriotic implants, making them a promising second-line therapy for endometriosis treatment.pretreatment with letrozole, an AI, combined with leuprolide acetate and resveratrol has been found to improve in vitro fertilization (IVF) outcomes in women mild endometriosis.in this study we screening and analysis of ten phenolic compounds from Foeniculum vulgare using molecular docking with Mcole server.from this results showed that three phenolic trans resveratrol (TR), caempherol coumaril (CC) have low gibbs energy compare with resveratrol (R). The binding modalities of compound TR and compound R were hydrogen-bonding between the hydroxyl and oxygen atom …