Digital Commons Network^™

Molecular Mechanism Leading To Human Coronary Atherosclerosis Assessed By Proteomic Analysis And Rna Sequences, Sarah J Parker, Chunhong Mao, David L Caudell, Austin Lyle Seals, Yizhi Wang, Thomas D Green, Joseph M Mcclung, Joshua T Maxwell, Jacolby T Roddey, Kiarash Shakeriastani, Chiung-Ting Wu, Yingzhou Lu, Do-Kyun Kim, Justyna Fert-Bober, Dongping Du, Archana Bhat, Niveda Sundararaman, Matthew Ayres, Rakhi Pandey, Saurabh Bhardwaj, Genesio M Karere, Dana Troxclair, Fannie Jackson, Gordon L Love, Richard Vander Heide, James Hixson, Jennifer E Van Eyk, Yue Wang, David Herrington

Faculty, Staff and Student Publications

Background and aims: Atherosclerosis results from cellular and extracellular changes in the arterial wall, preceded by molecular shifts that initiate disease and drive tissue conversion, yet these changes are not yet fully described. More data are needed concerning these early changes in the coronary artery molecular landscape that signify the initiation of atherosclerosis and the subsequent tissue pheno-conversion to atherosclerotic plaque. This report summarizes results from a large biorepository of human coronary artery tissue, applying state-of-the-art omics technology, advanced data analytic methods, and an arterial organoid model system to predict molecular dynamics and identify potential regulatory mechanisms that could interrupt …

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 …

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 …

Depression Polygenicity And Disease Activity And Disability Worsening In Multiple Sclerosis, Ali Manouchehrinia, Kathryn C Fitzgerald, Amber Salter, Ruth Ann Marrie, Lars Alfredsson, Charles N Bernstein, James M Bolton, Gary Cutter, John D Fisk, Lesley A Graff, Carol A Hitchon, Jan Hillert, Ingrid Kockum, Yi Lu, Fred D Lublin, Kyla Mckay, Tomas Olsson, Scott Patten, Amit Patki, Hayley Riel, Klementy Shchetynsky, Pernilla Stridh, Hemant K Tiwari, Jerry S Wolinsky, Kaarina Kowalec

Faculty, Staff and Student Publications

Objective: A better understanding of factors associated with multiple sclerosis (MS) disease activity and disability is needed. Given the strong link between comorbid depression and MS disease activity and disability, we aimed to determine whether the depression genetic burden, as modelled using its polygenic score, is associated with MS disease activity and disability worsening.

Methods: In this cohort study, we used samples from neurologist-defined adult people with MS (PwMS) followed in clinical care or during a clinical trial from existing cohorts: Canada, the United States (US), and Sweden with extensive longitudinal phenotypes. We computed the depression polygenic score (PGS) and …

Automating Candidate Gene Prioritization With Large Language Models: From Naive Scoring To Literature-Grounded Validation., Taushif Khan, Mohammed Toufiq, Marina Yurieva, Nitaya Indrawattana, Akanitt Jittmittraphap, Nathamon Kosoltanapiwat, Pornpan Pumirat, Passanesh Sukphopetch, Muthita Vanaporn, Karolina Palucka, Basirudeen Syed Ahamed Kabeer, Darawan Rinchai, Damien Chaussabel

Faculty Research 2025

MOTIVATION: Identifying promising therapeutic targets from thousands of genes in transcriptomic studies remains a major bottleneck in biomedical research. While large language models (LLMs) show potential for gene prioritization, they suffer from hallucination and lack systematic validation against expert knowledge.

RESULTS: The framework identified 609 sepsis-relevant genes with >94% filtering efficiency, demonstrating strong enrichment for inflammatory pathways including TNF-α signaling, complement activation, and interferon responses. Literature validation yielded 30 ultra-high confidence therapeutic candidates, including both established sepsis genes (IL10, TREM1, S100A9, NLRP3) and novel targets warranting investigation. Benchmark validation against expert-curated databases achieved 71.2% recall, with systematic correlation between computational …

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 …

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 …

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 …

Connectome-Based Predictive Modeling Of Ptsd Development Among Recent Trauma Survivors, Ziv Ben-Zion, Alexander J Simon, Matthew Rosenblatt, Nachshon Korem, Or Duek, Israel Liberzon, Arieh Y Shalev, Talma Hendler, Ifat Levy, Ilan Harpaz-Rotem, Dustin Scheinost

Staff and Researcher Publications

Importance: The weak link between subjective symptom-based diagnostics for posttraumatic psychopathology and objective neurobiological indices hinders the development of effective personalized treatments.

Objective: To identify early neural networks associated with posttraumatic stress disorder (PTSD) development among recent trauma survivors.

Design, setting, and participants: This prognostic study used data from the Neurobehavioral Moderators of Posttraumatic Disease Trajectories (NMPTDT) large-scale longitudinal neuroimaging dataset of recent trauma survivors. The NMPTDT study was conducted from January 20, 2015, to March 11, 2020, and included adult civilians who were admitted to a general hospital emergency department in Israel and screened for early PTSD symptoms indicative …

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 …

Precision Data-Driven Modeling Of Cortical Dynamics Reveals Person-Specific Mechanisms Underpinning Brain Electrophysiology, Matthew F Singh, Todd S Braver, Michael Cole, Shinung Ching

2020-Current year OA Pubs

Task-free brain activity affords unique insight into the functional structure of brain network dynamics and has been used to identify neural markers of individual differences. In this work, we present an algorithmic optimization framework that directly inverts and parameterizes brain-wide dynamical-systems models involving hundreds of interacting neural populations, from single-subject M/EEG time-series recordings. This technique provides a powerful neurocomputational tool for interrogating mechanisms underlying individual brain dynamics ("precision brain models") and making quantitative predictions. We extensively validate the models' performance in forecasting future brain activity and predicting individual variability in key M/EEG metrics. Last, we demonstrate the power of our …

Introducing "Identification Probability" For Automated And Transferable Assessment Of Metabolite Identification Confidence In Metabolomics And Related Studies., Thomas O Metz, Christine H Chang, Vasuk Gautam, Afia Anjum, Siyang Tian, Fei Wang, Sean M Colby, Jamie R Nunez, Madison R Blumer, Arthur S Edison, Oliver Fiehn, Dean P Jones, Shuzhao Li, Edward T Morgan, Gary J Patti, Dylan H Ross, Madelyn R Shapiro, Antony J Williams, David S Wishart

Faculty Research 2025

Methods for assessing compound identification confidence in metabolomics and related studies have been debated and actively researched for the past two decades. The earliest effort in 2007 focused primarily on mass spectrometry and nuclear magnetic resonance spectroscopy and resulted in four recommended levels of metabolite identification confidence─the Metabolite Standards Initiative (MSI) Levels. In 2014, the original MSI Levels were expanded to five levels (including two sublevels) to facilitate communication of compound identification confidence in high resolution mass spectrometry studies. Further refinement in identification levels have occurred, for example to accommodate use of ion mobility spectrometry in metabolomics workflows, and alternate …

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 …

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). …

A Graph Theoretical Approach To Experimental Prioritization In Genome-Scale Investigations., Stephen K Grady, Kevin A Peterson, Stephen A Murray, Erich J Baker, Michael A Langston, Elissa J Chesler

Faculty Research 2024

The goal of systems biology is to gain a network level understanding of how gene interactions influence biological states, and ultimately inform upon human disease. Given the scale and scope of systems biology studies, resource constraints often limit researchers when validating genome-wide phenomena and potentially lead to an incomplete understanding of the underlying mechanisms. Further, prioritization strategies are often biased towards known entities (e.g. previously studied genes/proteins with commercially available reagents), and other technical issues that limit experimental breadth. Here, heterogeneous biological information is modeled as an association graph to which a high-performance minimum dominating set solver is applied to …

Π-Hub: The Proteomic Navigator Of The Human Body, Fuchu He, Ruedi Aebersold, Mark S Baker, Xiuwu Bian, Xiaochen Bo, Daniel W Chan, Cheng Chang, Luonan Chen, Xiangmei Chen, Yu-Ju Chen, Heping Cheng, Ben C Collins, Fernando Corrales, Jürgen Cox, Weinan E, Jennifer E Van Eyk, Jia Fan, Pouya Faridi, Daniel Figeys, George Fu Gao, Wen Gao, Zu-Hua Gao, Keisuke Goda, Wilson Wen Bin Goh, Dongfeng Gu, Changjiang Guo, Tiannan Guo, Yuezhong He, Albert J R Heck, Henning Hermjakob, Tony Hunter, Narayanan Gopalakrishna Iyer, Ying Jiang, Connie R Jimenez, Lokesh Joshi, Neil L Kelleher, Ming Li, Yang Li, Qingsong Lin, Cui Hua Liu, Fan Liu, Guang-Hui Liu, Yansheng Liu, Zhihua Liu, Teck Yew Low, Ben Lu, Matthias Mann, Anming Meng, Robert L Moritz, Edouard Nice, Guang Ning, Gilbert S Omenn, Christopher M Overall, Giuseppe Palmisano, Yaojin Peng, Charles Pineau, Terence Chuen Wai Poon, Anthony W Purcell, Jie Qiao, Roger R Reddel, Phillip J Robinson, Paola Roncada, Chris Sander, Jiahao Sha, Erwei Song, Sanjeeva Srivastava, Aihua Sun, Siu Kwan Sze, Chao Tang, Liujun Tang, Ruijun Tian, Juan Antonio Vizcaíno, Chanjuan Wang, Chen Wang, Xiaowen Wang, Xinxing Wang, Yan Wang, Tobias Weiss, Mathias Wilhelm, Robert Winkler, Bernd Wollscheid, Limsoon Wong, Linhai Xie, Wei Xie, Tao Xu, Tianhao Xu, Liying Yan, Jing Yang, Xiao Yang, John Yates, Tao Yun, Qiwei Zhai, Bing Zhang, Hui Zhang, Lihua Zhang, Lingqiang Zhang, Pingwen Zhang, Yukui Zhang, Yu Zi Zheng, Qing Zhong, Yunping Zhu, Π-Hub Consortium

Faculty, Staff and Students Publications

The human body contains trillions of cells, classified into specific cell types, with diverse morphologies and functions. In addition, cells of the same type can assume different states within an individual's body during their lifetime. Understanding the complexities of the proteome in the context of a human organism and its many potential states is a necessary requirement to understanding human biology, but these complexities can neither be predicted from the genome, nor have they been systematically measurable with available technologies. Recent advances in proteomic technology and computational sciences now provide opportunities to investigate the intricate biology of the human body …

Modulation Of Energetic And Lipid Pathways By Curcumin As A Potential Chemopreventive Strategy In Human Prostate Cancer Cells, Michele Pellegrino, Maria Antonietta Occhiuzzi, Fedora Grande, Ilaria Stefania Pagani, Stefano Aquaro, Paola Tucci

Staff and Researcher Publications

In Western industrialized countries, prostate cancer (PCa) is the second most common malignant disease and prevalent cause of death for men. Epidemiological studies have shown that curcumin (CUR) either prevents PCa initiation or delays its progression to a more aggressive and treatment-refractory form, thus reducing related mortality. Our previous studies have proven the anticancer, antioxidant, and anti-inflammatory properties of CUR on PCa cells. However, there are few reports of the effect of CUR on energy and lipid pathways in PCa. Herein, we show that CUR can modulate the two metabolic energy pathways, increasing glycolytic reserve and reducing oxidative phosphorylation. Moreover, …

An Emerging Multi-Omic Understanding Of The Genetics Of Opioid Addiction., Eric O Johnson, Heidi S Fisher, Kyle A Sullivan, Olivia Corradin, Sandra Sanchez-Roige, Nathan C Gaddis, Yasmine N Sami, Alice Townsend, Erica Teixeira Prates, Mirko Pavicic, Peter Kruse, Elissa J Chesler, Abraham A Palmer, Vanessa Troiani, Jason A. Bubier, Daniel A Jacobson, Brion S Maher

Faculty Research 2024

Opioid misuse, addiction, and associated overdose deaths remain global public health crises. Despite the tremendous need for pharmacological treatments, current options are limited in number, use, and effectiveness. Fundamental leaps forward in our understanding of the biology driving opioid addiction are needed to guide development of more effective medication-assisted therapies. This Review focuses on the omics-identified biological features associated with opioid addiction. Recent GWAS have begun to identify robust genetic associations, including variants in OPRM1, FURIN, and the gene cluster SCAI/PPP6C/RABEPK. An increasing number of omics studies of postmortem human brain tissue examining biological features (e.g., histone modification and gene …

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.

Variant Surface Protein Gp60 Contributes To Host Infectivity Of Cryptosporidium Parvum, Muxiao Li, Fuxian Yang, Tianyi Hou, Xiaoqing Gong, Na Li, L David Sibley, Yaoyu Feng, Lihua Xiao, Yaqiong Guo

2020-Current year OA Pubs

Biological studies of the determinants of Cryptosporidium infectivity are lacking despite the fact that cryptosporidiosis is a major public health problem. Recently, the 60-kDa glycoprotein (GP60) has received attention because of its high sequence polymorphism and association with host infectivity of isolates and protection against reinfection. However, studies of GP60 function have been hampered by its heavy O-linked glycosylation. Here, we used advanced genetic tools to investigate the processing, fate, and function of GP60. Endogenous gene tagging showed that the GP60 cleavage products, GP40 and GP15, are both highly expressed on the surface of sporozoites, merozoites and male gametes. During …

Identification Of A Clade-Specific Hla-C*03:02 Ctl Epitope Gy9 Derived From The Hiv-1 P17 Matrix Protein, Samuel Kyobe, Savannah Mwesigwa, Gyaviira Nkurunungi, Gaone Retshabile, Moses Egesa, Eric Katagirya, Marion Amujal, Busisiwe C Mlotshwa, Lesedi Williams, Hakim Sendagire, On Behalf Of The Cafgen Consortium, Dithan Kiragga, Graeme Mardon, Mogomotsi Matshaba, Neil A Hanchard, Jacqueline Kyosiimire-Lugemwa, David Robinson

Faculty, Staff and Students Publications

Efforts towards an effective HIV-1 vaccine have remained mainly unsuccessful. There is increasing evidence for a potential role of HLA-C-restricted CD8+ T cell responses in HIV-1 control, including our recent report of HLA-C*03:02 among African children. However, there are no documented optimal HIV-1 CD8+ T cell epitopes restricted by HLA-C*03:02; additionally, the structural influence of HLA-C*03:02 on epitope binding is undetermined. Immunoinformatics approaches provide a fast and inexpensive method to discover HLA-restricted epitopes. Here, we employed immunopeptidomics to identify HLA-C*03:02 CD8+ T cell epitopes. We identified a clade-specific Gag-derived GY9 (GTEELRSLY) HIV-1 p17 matrix epitope potentially restricted to HLA-C*03:02. Residues …

A Novel Antigen Biomarker For Detection Of High-Level Of Loa Loa Microfilaremia, Sarah E Greene, Yuefang Huang, Kerstin Fischer, Bruce A. Rosa, John Martin, Makedonka Mitreva, Devyn Yates, Samuel Wanji, Joseph Kamgno, Philip J. Budge, Gary J. Weil, Peter U. Fischer

2020-Current year OA Pubs

BACKGROUND: Loiasis is a disease caused by the nematode Loa loa. Serious adverse events sometimes occur in people with heavy L. loa microfilaremia after ivermectin treatment. In regions of Central Africa where loiasis is endemic, this significantly impedes global elimination programs for lymphatic filariasis and onchocerciasis that use mass distribution of ivermectin. Improved diagnostic tests to identify individuals at increased risk of serious adverse events could facilitate efforts to eliminate lymphatic filariasis and onchocerciasis in this region.

METHODS AND FINDINGS: We previously identified the L. loa protein Ll-Bhp-1 in loiasis patient sera. Here, we further characterize Ll-Bhp-1 and report development …

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 …

Ballc And Ballcools: Efficient Formatting And Operating For Single-Cell Dna Methylation Data, Wei Tian, Wubin Ding, Jiawei Shen, Daofeng Li, Ting Wang, Joseph R Ecker

2020-Current year OA Pubs

MOTIVATION: With single-cell DNA methylation studies yielding vast datasets, existing data formats struggle with the unique challenges of storage and efficient operations, highlighting a need for improved solutions.

RESULTS: BAllC (Binary All Cytosines) emerges as a tailored format for methylation data, addressing these challenges. BAllCools, its complementary software toolkit, enhances parsing, indexing, and querying capabilities, promising superior operational speeds and reduced storage needs.

AVAILABILITY AND IMPLEMENTATION: https://github.com/jksr/ballcools.

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. …