Digital Commons Network^™

Integrating Technologies For Synthetic, Systems, And Spatial Approaches In Cancer Research, Karmella A. Haynes, Kolade Adebowale, Belinda S. Akpa, Joel S. Bader, Trisha Bansal, Joshua Breunig, Ran Brosh, Lukasz J. Bugaj, George M. Burslem, Awalpreet Chadha, Moumita Das, Tara Deans, Cole A. Deforest, Lawrence J. Dooling, Zev Gartner, Laura M. Heiser, Alex Hughes, Melissa L. Kemp, Kirill S. Korolev, Chunru Lin, Timothee Lionnet, Xin Lu, Alison P. Mcguigan, Hamid Reza Mirzaei, Ajit J. Nirmal, Marina Pasca Di Magliano, Alexandros Poulopoulos, Kunal Rai, José Reyes, Dagan Segal, Mary Kathryn Sewell-Loftin, Evegeniya V. Shmeleva, Adam Stevens, Subbaya Subramanian, Thea Tlsty, Jennifer Totonchy, Alexander Vlahos, Pei Wang, Ioannis K. Zervantonakis, Yanding Zhao

Pharmacy Faculty Articles and Research

Emerging tools for spatial analysis, systems biology, and synthetic biology offer opportunities to observe, dissect, and perturb cancer mechanisms, to design strategies for the prevention of oncogenesis, and to identify therapies that lead to durable tumor control. Here, we summarize perspectives from the virtual Innovation Lab on “Synthetic and Systems Approaches to Interrogate Spatiotemporal Processes in Cancer” (S3) hosted by the National Institutes of Health (NIH), which assembled interdisciplinary experts to discuss cancer spatial organization and dynamic cellular interactions and how they can be addressed by leveraging novel synthetic and systems biology approaches. These discussions focused especially on cancer initiation, …

Kinetic Control Of Nuclear-Encoded Mitochondrial Mrna Localization And Local Translation, Surbhi Sharma, Xuemei Wang, Steven Nguyen, Madeline E Rasband, Trinh T Tat, Prabha Chupal, Jen-Yun Chang, Eric L Van Nostrand, Daniel L Kiss, Aidan I Brown, Furqan M Fazal

Faculty, Staff and Students Publications

Most biological processes are dynamic, yet experimental methods predominantly rely on steady-state measurements to investigate their underlying mechanisms. RNA localization is a fundamental aspect of eukaryotic cell organization and is dynamically regulated by cells. While extensively studied in specialized cell types for a limited number of candidate RNAs, the general principles governing dynamic RNA localization at a transcriptome-wide scale remain largely unexplored. Existing transcriptome-wide studies provide only a static snapshot of RNAs residing in specific cellular locales, in part due to the limited availability of tools for probing cellular spatial organization at biologically relevant scales. Here, we leverage the high …

Versatile Smad2 And Smad3 Epitope-Tagged Mouse Models For Genomic Profiling Of Tgfβ Signaling: Uncovering Gdf9-Smad2/3 Targets, Zian Liao, Qian Zhang, Keisuke Shimada, Kaori Nozawa, Suni Tang, Masahito Ikawa, Diana Monsivais, Martin M Matzuk

Faculty, Staff and Students Publications

Transforming growth factor β (TGFβ) signaling pathways are integral for a plethora of biological processes. SMAD2 and SMAD3 are the principal transcriptional effectors of TGFβ superfamily ligands, yet quantitative, genome-wide mapping of their DNA-associated complexes under physiological contexts has remained limited due to the lack of specific, robust models. Here, we generated two versatile epitope-tagged mouse models in which endogenous SMAD2 and SMAD3 proteins are globally tagged with hemagglutinin (HA) and podoplanin (PA) sequences, respectively, enabling high-fidelity profiling of SMAD2 and SMAD3 binding across tissues. To demonstrate the broad application of our models, we exemplified the usage of our lines …

Efficient In Vivo Pharmacological Inhibition Of Δfosb, An Ap-1 Transcription Factor, In The Brain, Sean Mcneme, Anil Kumar, Yun Young Yim, Brandon W Hughes, Corey St Romain, Yi Li, Ashwani Kumar, Qichao Bao, Molly Estill, Shanghua Fan, Nadeen Takatka, Earnest P Chen, Matthew Rivera, Haiying Chen, Alfred J Robison, Mischa Machius, Stephen J Haggarty, Jeannie Chin, Eric J Nestler, Jia Zhou, Gabby Rudenko

Faculty, Staff and Students Publications

ΔFOSB, an unusually stable member of the AP-1 family of transcription factors, mediates long-term maladaptations that play a key role in the pathogenesis of drug addiction, cognitive decline, dyskinesia, and several other chronic neurological and psychiatric conditions. We have recently identified that 2-phenoxybenzenesulfonic acid-containing compounds disrupt the binding of ΔFOSB to DNA in vitro in cell-based assays, and one such compound, JPC0661, disrupts ΔFOSB binding to genomic DNA in vivo in the mouse brain with partial efficiency. JPC0661 binds to a groove outside of the DNA-binding cleft of the ΔFOSB/JUND bZIP heterodimer in a cocrystal structure. Here, we generated a …

Molecular Risk Markers Define Risk Of Relapse In Myeloid Leukemia Of Down Syndrome Beyond Measurable Residual Disease., Jason N. Berman, Anupam Verma, Shelton Viola, Todd A. Alonzo, Yi-Cheng Wang, Lisa Eidenschink Brodersen, Michael Loken, Amy Beckman, Betsy Hirsch, Susana Raimondi, Karen M. Chisholm, Xiaotu Ma, Rhonda Ries, Soheil Meshinchi, Alan S. Gamis, Reuven Schore, Jeffrey W. Taub, E Anders Kolb, Todd Cooper, Johann Hitzler

Manuscripts, Articles, Book Chapters and Other Papers

Myeloid leukemia of Down syndrome (ML-DS) is a distinct form of pediatric acute myeloid leukemia (AML) that responds to reduced-intensity chemotherapy, as compared with non-DS AML that requires intensive chemotherapy and often stem cell transplant. While most patients with ML-DS have a favorable prognosis, outcomes for those with refractory or relapsed disease are dismal. Children's Oncology Group study AAML1531 introduced the use of measurable residual disease by multiparameter flow cytometry at the end of the first course of induction therapy (EOI-1 MRD) for risk stratification of treatment intensity. Of 280 patients with ML-DS who were enrolled, 41 were classified as …

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 …

Commissioning & Daily Qa Of Converted Linac For Electron Flash, Tomaj Javidtash

Theses and Dissertations

Ultra-high dose rate (FLASH) radiotherapy has demonstrated promising normal tissue sparing in preclinical studies; however, the lack of standardized dosimetry, commissioning, and quality assurance (QA) methodologies remains a major barrier to its reproducible and safe implementation. In particular, conventional clinical commissioning and QA protocols are not directly applicable at FLASH dose rates due to challenges associated with detector response, dose-per-pulse effects, and beam control limitations.

This thesis presents the commissioning of a converted Varian 21EX linear accelerator for electron FLASH operation within the Division of Medical Physics at the Virginia Commonwealth University (VCU) Department of Radiation Oncology. Comprehensive beam characterization …

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 …

Investigation Of A Global Mouse Methylome Atlas Reveals Subtype-Specific Copy Number Alterations In Pediatric Cancer Models., Melanie Schoof, Tuyu Zheng, Martin Sill, Roland Imle, Alessia Cais, Lea Altendorf, Alicia Fürst, Nina Hofmann, Kati Ernst, Dominik Vonficht, Kenneth Chun-Ho Chan, Tim Holland-Letz, Andreas Postlmayr, Ryo Shiraishi, Wanchen Wang, Alaide Morcavallo, Michael Spohn, Carolin Göbel, Judith Niesen, Levke-Sophie Peter, Franck Bourdeaut, Zhi-Yan Han, Yanxin Pei, Najiba Murad, Fredrik J. Swartling, Jessica Taylor, Monika Yadav, Garrett R. Gibson, Richard J. Gilbertson, Matthias Dottermusch, Rajanya Roy, Kornelius Kerl, Rainer Glass, Jiying Cheng, Martin A. Horstmann, Gerrit Wolters-Eisfeld, Haotian Zhao, Dominik Sturm, Viveka Nand Yadav, Louis Chesler, Simon Haas, William A. Weiss, Paul A. Northcott, Lena M. Kutscher, Ana Guerreiro Stucklin, Olivier Ayrault, Julia E. Neumann, Daisuke Kawauchi, David T W Jones, Kristian Pajtler, Ana Banito, Stefan M. Pfister, Ulrich Schüller, Marc Zuckermann

Manuscripts, Articles, Book Chapters and Other Papers

Copy number alterations (CNAs) are hallmarks of cancer, yet investigation of their oncogenic role has been hindered by technical limitations and missing model systems. Here we generated a genome-wide DNA methylation and CNA atlas of 106 genetic mouse models across 31 pediatric tumor types, including 18 new models for pediatric glioma. We demonstrated their epigenetic resemblance to human disease counterparts and identified entity-specific patterns of immune infiltration. We discovered that mouse tumors harbor highly recurrent CNA signatures that occur distinctly based on the tumor subgroup and driving oncogene and showed that these CNAs share syntenic regions with the matching human …

Developing Optogenetic Approaches To Study Ca2+ Signaling Processes, Tatsuki Nonomura, Xiaoxuan Liu, Megan Chiu, Zhi Tan, Tien-Hung Lan, Yubin Zhou

Faculty, Staff and Students Publications

Calcium ions (Ca2+) are essential second messengers intimately implicated in a variety of biological processes, ranging from short-term events such as muscle contraction to long-term effects like gene expression. Dysregulated Ca2+ signaling can disrupt cellular function and contribute to the development of various human diseases, including developmental, neurological, immunoinflammatory, metabolic, and cardiovascular disorders. To study the mechanisms and biological consequences of Ca2+ signaling, optogenetic approaches have proven invaluable, as they offer exceptional spatiotemporal resolution compared to traditional methods. Recent progress in non-opsin-based optogenetics, particularly those engineered from Ca2+ release–activated Ca2+ (CRAC) channels, has substantially advanced our understanding of Ca2+ signaling …

Adaptive Filters At The First Olfactory Synapse, Elizabeth H Moss, Benjamin R Arenkiel

Duncan NRI Faculty and Staff Publications

The olfactory system is able to filter odor representations based on attention and learning. Two PLoS Biology studies reveal how short axon cells in the olfactory bulb integrate cholinergic input from the basal forebrain to dynamically regulate olfactory input.

Established And Emerging Asthma Biomarkers With A Focus On Biologic Trials: A Narrative Review, Philip F Lavere, Kaitlin M Phillips, Nicola A Hanania, Muhammad Adrish

Faculty, Staff and Students Publications

Chronic airway inflammation with variable airflow obstruction is clinical asthma, and it arises from distinct molecular and pathological mechanisms called endotypes. Biomarkers allow for precise endotype characterization and have been used in clinical trials to design, monitor, and evaluate outcomes for asthma biologic therapies. This review will highlight the central and evolving role of biomarkers for past, present, and future asthma, with a focus on regulatory-approved biologic therapies and emerging biomarkers. Established biomarkers, including serum immunoglobulin E (IgE), blood eosinophils, the fraction of exhaled nitric oxide (FeNO), and serum periostin, helped elucidate the complex pathophysiology of the eosinophilic type 2 …

The Psychiatric Genomics Consortium: Discoveries And Directions, Arpana Agrawal, Cynthia M Bulik, Dawit Shawel Abebe, Ole A Andreassen, Elizabeth G Atkinson, Karmel W Choi, Aiden Corvin, Helena L Davies, Lea K Davis, Anna R Docherty, Howard J Edenberg, Barbara Franke, Joel Gelernter, Paola Giusti-Rodríguez, John M Hettema, Jens Hjerling-Leffler, Hailiang Huang, Emma C Johnson, Cathryn M Lewis, Yi Lu, Mary-Ellen Lynall, Joanna Martin, Andrew M Mcintosh, Janitza L Montalvo-Ortiz, Niamh Mullins, Caroline M Nievergelt, Kevin S O'Connell, Michael C O'Donovan, Adeniran Okewole, Roseann E Peterson, Danielle Posthuma, Jonathan Sebat, Jordan W Smoller, Reeteka Sud, Biju Viswanath, James T R Walters, Hyejung Won, Naomi R Wray, Patrick F Sullivan, Coordinating Committee Of The Psychiatric Genomics Consortium

Faculty, Staff and Students Publications

The Psychiatric Genomics Consortium (PGC) has fueled discoveries of common and rare genetic variation contributing to liability to many psychiatric and neurodevelopmental conditions. This narrative review reflects on major findings from the past half decade of research by this international group of investigators in five priority areas: discovery of common variants using GWAS; rare variation and its interplay with polygenic risk; leveraging genetics to go beyond diagnostic boundaries; ascribing functional attributes to genomic discoveries; and developing and implementing processes for data sharing, outreach to various communities, and training. The insights gained in these domains frame the agenda for the next …

Current Landscape Of Preclinical Models For Pediatric Gliomas: Clinical Implications And Future Directions., Syed M. Faisal, Monika Yadav, Garrett R. Gibson, Adora T. Klinestiver, Ryan M. Sorenson, Evan Cantor, Maria Ghishan, John R. Prensner, Andrea T. Franson, Kevin Ginn, Carl Koschmann, Viveka Nand Yadav

Manuscripts, Articles, Book Chapters and Other Papers

Pediatric high-grade gliomas (pHGGs), particularly diffuse midline gliomas (DMGs), are among the most lethal brain tumors due to poor survival and resistance to therapies. DMGs possess a distinct genetic profile, primarily driven by hallmark mutations such as H3K27M, ACVR1, and PDGFRA mutations/amplifications and TP53 inactivation, all of which contribute to tumor biology and therapeutic resistance. Developing physiologically relevant preclinical models that replicate both tumor biology and the tumor microenvironment (TME) is critical for advancing effective treatments. This review highlights recent progress in in vitro, ex vivo, and in vivo models, including patient-derived brain organoids, genetically engineered mouse models (GEMMs), and …

Functional Assays In Drosophila Facilitate Classification Of Variants Of Uncertain Significance Associated With Rare Diseases, Jung-Wan Mok, Shelley B Gibson, Haley A Dostalik, Shinya Yamamoto

Faculty, Staff and Students Publications

Individuals living with rare diseases often undergo a frustrating and expensive diagnostic odyssey. Clinical geneticists who analyze exome or genome sequencing data from rare disease patients often encounter a list of variants of uncertain significance (VUS) in known disease-causing genes or rare variants in genes of uncertain significance (GUS) that are difficult to interpret, even with the integration of the latest bioinformatic tools. In this Perspective, we review how studies using the fruit fly Drosophila melanogaster have facilitated rare disease diagnosis by uncovering the clinical relevance of GUS and classifying rare variants into specific allelic categories (loss-of-function or gain-of-function, Muller's …

Mechanistic Insights Into The Flash Effect: The Role Of Oxygen And Radiation Chemistry In Ultra-High Dose Rate Radiation Therapy, Jacob Pierce Sunnerberg

Dartmouth College Ph.D Dissertations

The development of new cancer therapies focuses on widening the therapeutic ratio between tumor control and normal tissue toxicity. Over the last decade, ultra-high dose rate (UHDR) radiation therapy, commonly known as FLASH radiotherapy (FLASH-RT), has shown promising potential to reduce normal tissue toxicity while maintaining tumor control. However, the underlying mechanisms of the FLASH effect remain poorly understood. This thesis explores the radiation-chemical basis of FLASH-RT, focusing on the role of oxygen and reactive oxygen species in modulating biological outcomes.

A comprehensive set of in vitro studies demonstrated that UHDR delivery significantly alters radiation chemistry compared to conventional dose …

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, …

Development Of Lineal Energy Spectrum-Based Biological Effects Models For Protons, Joseph M. Decunha, Fada Guan, David Grosshans, Zhongxing Liao, Dragan Mirkovic, Oleg Vassiliev, Radhe Mohan

Dissertations and Theses (Open Access)

In this dissertation, methods are developed and described to allow for the rapid calculation of microdosimetric spectra (specifically, lineal energy) for protons. SuperTrack, a GPU-accelerated tool for calculation of microdosimetric spectra was developed and is capable of computing lineal energy spectra up to 5000x faster than using Geant4 directly. Proton lineal energy spectra generated by SuperTrack are indistinguishable from those generated by Geant4. With SuperTrack, large libraries of lineal energy spectra for monoenergetic protons spanning 0-300 MeV have been developed. The proton lineal energy spectra calculated by SuperTrack have been compared to experimental measurements made by a tissue equivalent proportional …

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 …

Nanosecond Pulsed Electric Field And Plasma Jets For Cancer Therapy, Edwin Ayobami Oshin

Biomedical Engineering Theses & Dissertations

Nanosecond pulsed electric field (nsPEF) employs nanosecond-duration, high voltage pulses to induce oxidative stress, leading to temporary or permanent damage to cells or tissue (also known as reversible and irreversible electroporation), and has been considered a promising approach for cancer therapy. In parallel to this, nanosecond pulsed atmospheric pressure plasma jets (ns-APPJs) have also shown to be effective in inactivating cancer cells or increasing sensitivity of cells to electric fields. ns-APPJs are known to generate reactive chemical agents, including reactive oxygen and nitrogen species (RONS) which induces oxidative stress resulting in cell proliferation, apoptosis, and necrosis. In this dissertation, a …

Infection-Related Hospitalization And Incident Heart Failure: The Atherosclerosis Risk In Communities Study, Rebecca L Molinsky, Amil Shah, Melana Yuzefpolskaya, Bing Yu, Jeffrey R Misialek, Bruno Bohn, David Vock, Richard Maclehose, Barry A Borlaug, Paolo C Colombo, Chiadi E Ndumele, Junichi Ishigami, Kunihiro Matsushita, Pamela L Lutsey, Ryan T Demmer

Faculty, Staff and Student Publications

Background: The immune response to infections may become dysregulated and promote myocardial damage contributing to heart failure (HF). We examined the relationship between infection-related hospitalization (IRH) and HF, HF with preserved ejection fraction, and HF with reduced ejection fraction.

Methods and results: We studied 14 468 adults aged 45 to 64 years in the ARIC (Atherosclerosis Risk in Communities) Study who were HF free at visit 1 (1987-1989). IRH was identified using select International Classification of Diseases (ICD) codes in hospital discharge records and was treated as a time-varying exposure. HF incidence was defined as the first occurrence …

Tryptophan Kynurenine Pathway-Based Imaging Agents For Brain Disorders And Oncology-From Bench To Bedside, Erik Stauff, Wenqi Xu, Heidi H. Kecskemethy, Sigrid A. Langhans, Vinay V. R. Kandula, Lauren W. Averill, Xuyi Yue

Jefferson Hospital Staff Papers and Presentations

Tryptophan (Trp)-based radiotracers have excellent potential for imaging many different types of brain pathology because of their involvement with both the serotonergic and kynurenine (KYN) pathways. However, radiotracers specific to the kynurenine metabolism pathway are limited. In addition, historically Trp-based radiopharmaceuticals were synthesized with the short-lived isotope carbon-11. A newer generation of Trp-based imaging agents using the longer half-lived and commercially available isotopes, such as fluorine-18 and iodine-124, are being developed. The newly developed amino acid-based tracers have been demonstrated to have favorable radiochemical and imaging characteristics in pre-clinical studies. However, many barriers still exist in the clinical translation of …

Investigating The Role Of Prostasin In Angiogenesis: A Chorioallantoic Membrane Model Approach, Zaima Aline

Honors Undergraduate Theses

Prostasin, also known as PRSS8 or CAP1, is a glycosylphosphatidylinositol (GPI)-anchored extracellular serine protease involved in various physiological and pathophysiological processes. Prostasin expression is observed during key phases of trophoblast invasion and placental development, critical steps in embryo implantation in Rhesus monkeys. This suggests a role for prostasin in extracellular matrix remodeling and tissue invasion, both essential for a healthy pregnancy. Moreover, prostasin appears vital for development as studies in mice show that a germline knockout of the gene leads to significant placental defects and eventual embryonic death, highlighting its importance in vascular and structural development within the placenta.

Building …

Decoding Tattoo And Permanent Makeup Pigments: Linking Physicochemical Properties To Absorption, Distribution, Metabolism, And Elimination Profiles Using Quantitative Structure-Activity Relationship (Qsar)-Based New Approach Methodologies (Nams), Girija Bansod, Ajay Vikram Singh, Preeti Bhardwaj, Tulika Rai, Sweta Vijay Nakhale, Amruta Shelar, Rajendra Patil, Peter Laux, Andreas Luch, Christopher J. Osgood, Michael W. Stacey

Biological Sciences Faculty Publications

The safety and quality of tattoo and permanent makeup (PMU) pigments are subject to increased scrutiny due to their potential to cause adverse effects like anaphylaxis, photoallergic responses, and long-term toxicity. These undesirable reactions governed by their chemical structure possess varied physicochemical properties and absorption, distribution, metabolism, and elimination (ADME) characteristics. These properties control the pigment behavior during application, stability, and interaction with human tissue. The correlation between these physicochemical characteristics and ADME parameters of tattoo/PMU pigments remain under-explored despite the current advances in toxicology. Our study aims to address and bridge the gap by leveraging open-access QSAR computational toxicology …

Defining Dysphoric Milk Ejection Reflex: Using Premenstrual Dysphoric Disorder As A Framework For Proposing Preliminary Diagnostic Criteria, Megan Howard, Teni Davoudian, Nicole H Cirino

Faculty, Staff and Students Publications

Dysphoric Milk Ejection Reflex (D-MER) is a distinct neurobiological condition characterized by negative alterations in mental state in response to milk letdown during lactation. Symptoms vary by patient and can include feelings of sadness, anxiety or agitation. Importantly, the symptoms are brief, typically lasting no more than 5 minutes. Prevalence has been found between 6 and 27% of lactating women, but studies show heterogeneity, due in part to inconsistent definition. D-MER is not currently classified in the Diagnostic and Statistical Manual of Mental Disorders (DSM) or the International Classification of Diseases (ICD), which presents a challenge for researchers of the …

Heterogeneous Clustering Of Multiomics Data For Breast Cancer Subgroup Classification And Detection, Joseph Pateras, Musaddiq Lodi, Pratip Rana, Preetam Ghosh

Computer Science Faculty Publications

The rapid growth of diverse -omics datasets has made multiomics data integration crucial in cancer research. This study adapts the expectation–maximization routine for the joint latent variable modeling of multiomics patient profiles. By combining this approach with traditional biological feature selection methods, this study optimizes latent distribution, enabling efficient patient clustering from well-studied cancer types with reduced computational expense. The proposed optimization subroutines enhance survival analysis and improve runtime performance. This article presents a framework for distinguishing cancer subtypes and identifying potential biomarkers for breast cancer. Key insights into individual subtype expression and function were obtained through differentially expressed gene …

Mapping The Functional Network Of Human Cancer Through Machine Learning And Pan-Cancer Proteogenomics, Zhiao Shi, Jonathan T Lei, John M Elizarraras, Bing Zhang

Faculty, Staff and Students Publications

Large-scale omics profiling has uncovered a vast array of somatic mutations and cancer-associated proteins, posing substantial challenges for their functional interpretation. Here we present a network-based approach centered on FunMap, a pan-cancer functional network constructed using supervised machine learning on extensive proteomics and RNA sequencing data from 1,194 individuals spanning 11 cancer types. Comprising 10,525 protein-coding genes, FunMap connects functionally associated genes with unprecedented precision, surpassing traditional protein-protein interaction maps. Network analysis identifies functional protein modules, reveals a hierarchical structure linked to cancer hallmarks and clinical phenotypes, provides deeper insights into established cancer drivers and predicts functions for understudied cancer-associated …

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). …