Digital Commons Network^™

Discovery Of Novel, Potent, And Orally Bioavailable Smarca2 Proteolysis-Targeting Chimeras With Synergistic Antitumor Activity In Combination With Kirsten Rat Sarcoma Viral Oncogene Homologue G12c Inhibitors, Sasikumar Kotagiri, Yawen Wang, Yanyan Han, Xiaobing Liang, Nicholas Blazanin, Manu Sebastian, Yongying Jiang, Yonathan Lissanu

Faculty, Staff and Student Publications

Cancer genomic studies have identified frequent mutations in subunits of the SWI/SNF chromatin remodeling complex, including SMARCA4 in nonsmall cell lung cancer with a frequency of up to 33% in advanced-stage disease, making it the most frequently mutated complex. We and others have identified SMARCA2 to be synthetic lethal to SMARCA4, indicating that SMARCA2 is a high-value therapeutic target. Here, we disclose the discovery and characterization of potent, selective, and orally bioavailable cereblon-based SMARCA2 PROTACs. Biochemically, we showed that YDR1 and YD54 are potent SMARCA2 degraders. Further, we showed the antitumor growth inhibitory activity of YDR1 and YD54 in SMARCA4 …

Simplified Control Of Neuromuscular Stimulation Systems For Restoration Of Reach With Limb Stiffness As A Modifiable Degree Of Freedom

Faculty, Staff and Student Publications

Objective. Brain-controlled functional electrical stimulation (FES) of the upper limb has been used to restore arm function to paralyzed individuals in the lab. Able-bodied individuals naturally modulate limb stiffness throughout movements and in anticipation of perturbations. Our goal is to develop, via simulation, a framework for incorporating stiffness modulation into the currently-used ‘lookup-table-based’ FES control systems while addressing several practical issues: (1) optimizing stimulation across muscles with overlap in function, (2) coordinating stimulation across joints, and (3) minimizing errors due to fatigue. Our calibration process also needs to account for when current spread causes additional muscles to become activated. Approach. …

Lifespan Reference Curves For Harmonizing Multi-Site Regional Brain White Matter Metrics From Diffusion Mri, Amanda L Rodrigue, Margaret J Wright, Sarah E Medland, John Blangero, David C Glahn, Peter Kochunov, Douglas E Williamson, Asta K Håberg, Paul M Thompson, Neda Jahanshad

Faculty, Staff and Student Publications

Age-related white matter (WM) microstructure maturation and decline occur throughout the human lifespan, complementing the process of gray matter development and degeneration. Here, we create normative lifespan reference curves for global and regional WM microstructure by harmonizing diffusion MRI (dMRI)-derived data from ten public datasets (N = 40,898 subjects; age: 3-95 years; 47.6% male). We tested three harmonization methods on regional diffusion tensor imaging (DTI) based fractional anisotropy (FA), a metric of WM microstructure, extracted using the ENIGMA-DTI pipeline. ComBat-GAM harmonization provided multi-study trajectories most consistent with known WM maturation peaks. Lifespan FA reference curves were validated with test-retest data …

Rescue Of The First Mitochondrial Membrane Carrier, The Mpic, By Tat-Mediated Protein Replacement Treatment, Samar Zabit, Orly Melloul, Michal Lichtenstein, Erin L. Seifert, Haya Lorberboum-Galski

Department of Pathology, Anatomy, and Cell Biology Faculty Papers

The mitochondrial phosphate carrier (mPiC), encoded by the nuclear gene SLC25A3, is synthesized with an N-terminus mitochondrial targeting sequence (MTS), enabling its import into the mitochondria. mPiC imports inorganic phosphate (P_i) into the mitochondrial matrix for ATP production and other matrix phosphorylation reactions, as well as regulates mitochondrial Ca²⁺ uptake and buffering of matrix Ca²⁺. PiC also imports copper (Cu), crucial to COX subunit holoenzyme assembly. Variants in SLC25A3 exist and lead to mPiC deficiency (MPCD), cause a rare autosomal recessive disease with no current cure; patients with MPCD usually die within the first …

Alzheimer’S Disease Protective Allele Of Clusterin Modulates Neuronal Excitability Through Lipid-Droplet-Mediated Neuron-Glia Communication, Xiaojie Zhao, Yan Li, Siwei Zhang, Ari Sudwarts, Hanwen Zhang, Alena Kozlova, Matthew J Moulton, Lindsey D Goodman, Zhiping P Pang, Alan R Sanders, Hugo J Bellen, Gopal Thinakaran, Jubao Duan

Duncan NRI Faculty and Staff Publications

Background: Genome-wide association studies (GWAS) of Alzheimer's disease (AD) have identified a plethora of risk loci. However, the disease variants/genes and the underlying mechanisms have not been extensively studied.

Methods: Bulk ATAC-seq was performed in induced pluripotent stem cells (iPSCs) differentiated various brain cell types to identify allele-specific open chromatin (ASoC) SNPs. CRISPR-Cas9 editing generated isogenic pairs, which were then differentiated into glutamatergic neurons (iGlut). Transcriptomic analysis and functional studies of iGlut co-cultured with mouse astrocytes assessed neuronal excitability and lipid droplet formation.

Results: We identified a putative causal SNP of CLU that impacted neuronal chromatin accessibility to transcription-factor(s), with …

Artificial Intelligence-Based Virtual Staining Platform For Identifying Tumor-Associated Macrophages From Hematoxylin And Eosin-Stained Images, Tanmoy Dam, Himanshu Maurya, Tilak Pathak, Sandra Orsulic, Kailin Yang, Deborah Chute, Justin A Bishop, Farhoud Faraji, Wade M Thorstad, Shlomo Koyfman, Scott Steward, Qiuying Shi, Vlad Sandulache, Nabil F Saba, James S Lewis, Germán Corredor, Anant Madabhushi

Faculty, Staff and Students Publications

Background: Virtual staining is an artificial intelligence-based approach that transforms pathology images between stain types, such as hematoxylin and eosin (H&E) to immunohistochemistry (IHC), providing a tissue-preserving and efficient alternative to traditional IHC staining. However, existing methods for translating H&E to virtual IHC often fail to generate images of sufficient quality for accurately delineating cell nuclei and IHC+ regions. To address these limitations, we introduce VISTA, an artificial intelligence-based virtual staining platform designed to translate H&E into virtual IHC.

Methods: We applied VISTA to identify M2-subtype tumor-associated macrophages (M2-TAMs) in H&E images from 968 patients with HPV+ oropharyngeal squamous cell …

Selection Of Therapeutically Effective T-Cell Receptors From The Diverse Tumor-Bearing Repertoire, Leonie Rosenberger, Naresha Saligrama, Et Al.

2020-Current year OA Pubs

BACKGROUND: The development of T-cell receptor (TCR)-based T-cell therapies is hampered by the difficulties in identifying therapeutically effective tumor-specific TCRs from the natural repertoire of a patient's cancer-specific T cells.

METHODS: Here, we mimic experimentally near-patient conditions to analyze the T-cell repertoire in euthymic tumor-bearing mice responding to the H-2K

RESULTS: We found that mp68-specific TCRs isolated from either tumor-infiltrating T cells or spleens of mice immunized with mp68-expressing cancer cells are diverse and not inherently therapeutic when introduced into peripheral T cells and used for adoptive therapy of established tumors. While measuring short-term T-cell responses in vitro was unreliable …

An Intranasal Subunit Vaccine Induces Protective Systemic And Mucosal Antibody Immunity Against Respiratory Viruses In Mouse Models., Aina Karen Anthi, Anette Kolderup, Eline Benno Vaage, Malin Bern, Sopisa Benjakul, Elias Tjärnhage, Fulgencio Ruso-Julve, Kjell-Rune Jensen, Heidrun Elisabeth Lode, Marina Vaysburd, Jeannette Nilsen, Marie Leangen Herigstad, Siri Aastedatter Sakya, Lisa Tietze, Diego Pilati, Mari Nyquist-Andersen, Mirjam Dürkoop, Torleif Tollefsrud Gjølberg, Linghang Peng, Stian Foss, Morten C Moe, Benjamin E. Low, Michael V. Wiles, David Nemazee, Frode L Jahnsen, John Torgils Vaage, Kenneth A Howard, Inger Sandlie, Leo C James, Gunnveig Grødeland, Fridtjof Lund-Johansen, Jan Terje Andersen

Faculty Research 2025

Although vaccines are usually given intramuscularly, the intranasal delivery route may lead to better mucosal protection and limit the spread of respiratory virus while easing administration and improving vaccine acceptance. The challenge, however, is to achieve delivery across the selective epithelial cell barrier. Here we report on a subunit vaccine platform, in which the antigen is genetically fused to albumin to facilitate FcRn-mediated transport across the mucosal barrier in the presence of adjuvant. Intranasal delivery in conventional and transgenic mouse models induces both systemic and mucosal antigen-specific antibody responses that protect against challenge with SARS-CoV-2 or influenza A. When benchmarked …

Evaluating The Feasibility Of Gene Replacement Strategies To Treat Mtrfr Deficiency., Samia L Pratt, Mariana Zarate-Mendez, Lidiia Koludarova, Sonja Jansson, Mikko Airavaara, Irena Hlushchuk, David Coleman, Caleb Heffner, Rita Horvath, Brendan J Battersby, Robert W. Burgess

Faculty Research 2025

Mitochondrial translation release factor in rescue (MTRFR) catalyzes a termination step in protein synthesis, facilitating release of the nascent chain from mitoribosomes. Pathogenic variants in MTRFR cause MTRFR deficiency and are loss-of-function variants. Here, we tested gene replacement as a possible therapeutic strategy. A truncating mutation (K155*) was generated in mice; however, homozygotes die embryonically whereas mice heterozygous for this K155* allele are normal. We also generated transgenic strains expressing either wild-type human MTRFR or a partially functional MTRFR. Despite dose-dependent phenotypes from overexpression in vitro, neither transgene caused adverse effects in vivo. In K155* homozygous mice, the wild-type MTRFR …

Maternal Cardiometabolic Risk Factors In Pregnancy And Offspring Blood Pressure At Age 2 To 18 Years., Zhongzheng Niu, Ako Adams Ako, Sarah Dee Geiger, Caitlin G. Howe, Wei Perng, Rachana Singh, Margaret R. Karagas, Amy J. Elliott, Andrea Cassidy-Bushrow, Carlos A. Camargo, Keia Sanderson, Cynthia T. Mcevoy, Emily Oken, Dana Dabelea, Tina V. Hartert, Brian S. Carter, Annemarie Stroustrup, Andrea Lampland, Thomas G. O'Connor, Semsa Gogcu, Mark L. Hudak, Lyndsey E. Shorey-Kendrick, Qi Zhao, Yu Ni, Jeffrey Vanwormer, Assiamira Ferrara, Monique Hedderson, Yeyi Zhu, Akram Alshawabkeh, Jose Cordero, Daphne Koinis-Mitchell, Susan Carnell, Carrie V. Breton, Theresa M. Bastain, Shohreh F. Farzan, Echo Cohort Consortium

Manuscripts, Articles, Book Chapters and Other Papers

IMPORTANCE: Higher blood pressure in early life may signal cardiovascular disease over the life course, but determinants of blood pressure in early life are poorly understood.

OBJECTIVE: To examine the association of maternal cardiometabolic risk factors during pregnancy with offspring blood pressure from age 2 to 18 years and explore whether the association is modified by offspring sex and race and ethnicity.

DESIGN, SETTING, AND PARTICIPANTS: This cohort study analyzed data from the Environmental Influences on Child Health Outcomes program between January 1, 1994, and March 31, 2023. Three common maternal cardiometabolic risk factors during pregnancy were examined: prepregnancy obesity, …

An Agrin-Yap/Taz Rigidity Sensing Module Drives Egfr-Addicted Lung Tumorigenesis., Reza Bayat Mokhtari, Divyaleka Sampath, Paige Eversole, Melissa Ong Yu Lin, Dmitriy A. Bosykh, Gandhi T. K. Boopathy, Aravind Sivakumar, Cheng-Chun Wang, Ramesh Kumar, Joe Yeong Poh Sheng, Ellen Karasik, Barbara A. Foster, Han Yu, Xiang Ling, Wenjie Wu, Fengzhi Li, Zoë Weaver Ohler, Christine Fillmore Brainson, David W. Goodrich, Wanjin Hong, Sayan Chakraborty

Markey Cancer Center Faculty Publications

Despite epidermal growth factor receptor (EGFR) is a pivotal oncogene for several cancers, including lung adenocarcinoma (LUAD), how it senses extracellular matrix (ECM) rigidity remain elusive in the context of the increasing role of tissue rigidity on various hallmarks of cancer development. Here it is shown that EGFR dictates tumorigenic agrin expression in lung cancer cell lines, genetically engineered EGFR-driven mouse models, and human specimens. Agrin expression confers substrate stiffness-dependent oncogenic attributes to EGFR-reliant cancer cells. Mechanistically, agrin mechanoactivates EGFR through epidermal growth factor (EGF)-dependent and independent modes, thereby sensitizing its activity toward localized cancer cell-ECM adherence and bulk rigidity …

Normative Variability In Retinal Nerve Fiber Layer Thickness: Does It Matter Where The Peaks Are?, Sowjanya Gowrisankaran, Ashkan Abbasi, Xubo Song, Joel Schuman, Gadi Wollstein, Bhavna Antony, Hiroshi Ishikawa

Wills Eye Hospital Papers

PURPOSE: Retinal nerve fiber layer thickness (RNFLT), a glaucoma biomarker, has a wide normative range affecting its sensitivity and specificity for abnormality detection. The interindividual RNFLT peak location variability contribution to this wide normative range has not been directly evaluated. The purpose of this study is to assess the effect of RNFLT peak normalization (PN) on normative variability.

METHODS: Circumpapillary RNFLT profiles at 1.7 mm radius from the optic nerve head (ONH) were re-sampled from optical coherence tomography (OCT) volumes (Cirrus HD-OCT, 200 × 200) obtained from one eye of 83 healthy individuals. Fovea-ONH axis (FOA) was calculated from corresponding …

Interventions To Improve Timely Cancer Diagnosis: An Integrative Review, Rosann T Cholankeril, Daniel R Murphy, Hardeep Singh, Andrea Bradford

Faculty, Staff and Students Publications

Cancer will affect more than one in three U.S. residents in their lifetime, and although the diagnosis will be made efficiently in most of these cases, roughly one in five patients will experience a delayed or missed diagnosis. In this integrative review, we focus on missed opportunities in the diagnosis of breast, lung, and colorectal cancer in the ambulatory care environment. From a review of 493 publications, we summarize the current evidence regarding the contributing factors to missed or delayed cancer diagnosis in ambulatory care, as well as evidence to support possible strategies for intervention. Cancer diagnoses are made after …

Metastatic Medulloblastoma Remodels The Local Leptomeningeal Microenvironment To Promote Further Metastatic Colonization And Growth, Alexander Bahcheli, Randy Van Ommeren, Kyle Juraschka, Maria Vladoiu, Winnie Ong, Bryn Livingston, Pasqualino De Antonellis, Michelle Ly, Borja López Holgado, Olga Sirbu, Shahrzad Bahrampour, Hyun-Kee Min, Jerry Fan, Carolina Nor, Abhirami Visvanathan, Jiao Zhang, Hao Wang, Lei Qin, Ning Huang, Jonelle Pallotta, Tajana Douglas, Esta Mak, Haipeng Su, Karen Ng, Kevin Yang Zhang, Craig Daniels, Calixto-Hope G Lucas, Charles G Eberhart, Hailong Liu, Tao Jiang, Faiyaz Notta, Vijay Ramaswamy, Jüri Reimand, Marco Gallo, Jeremy N Rich, Xiaochong Wu, Xi Huang, Michael D Taylor

Faculty, Staff and Students Publications

Leptomeningeal metastases are the major source of morbidity and mortality for patients with medulloblastoma. The biology of the leptomeningeal metastases and the local tumour microenvironment are poorly characterized. Here we show that metastasis-associated meningeal fibroblasts (MB-MAFs) are transcriptionally distinct and signal extensively to tumour cells and the tumour microenvironment. Metastatic cells secrete platelet-derived growth factor (PDGF) ligands into the local microenvironment to chemotactically recruit meningeal fibroblasts. Meningeal fibroblasts are reprogrammed to become MB-MAFs, expressing distinct transcriptomes and secretomes, including bone morphogenetic proteins. Active bone morphogenetic protein signalling and co-implantation of tumour cells with MB-MAFs enhances the colonization of the leptomeninges …

Digital Twins, Synthetic Patient Data, And In-Silico Trials: Can They Empower Paediatric Clinical Trials?, Joseph Hagan, Nima Aghaeepour, Josef Neu

Faculty, Staff and Students Publications

Randomised controlled trials are the gold standard to assess the effectiveness and safety of clinical interventions; however, many paediatric trials are discontinued early due to challenges in patient enrolment. Hence, most paediatric clinical trials suffer from lack of adequate power. Additionally, trials are expensive and might expose patients to unproven therapies. Alternatives to overcome these issues using virtual patient data—namely, digital twins, synthetic patient data, and in-silico trials—are now possible due to rapid advances in digital health-care tools and interventions. However, such digital innovations have been rarely used in paediatric trials. In this Viewpoint, we propose using virtual patient data …

Cdc’S Core Elements To Promote Diagnostic Excellence, Andrea Bradford, L Clifford Mcdonald, Preeta K Kutty

Faculty, Staff and Students Publications

Nearly a decade after the National Academy of Medicine released the "Improving Diagnosis in Health Care" report, diagnostic errors remain common, often leading to physical, psychological, emotional, and financial harm. Despite a robust body of research on potential solutions and next steps, the translation of these efforts to patient care has been limited. Improvement initiatives are still narrowly focused on selective themes such as diagnostic stewardship, preventing overdiagnosis, and enhancing clinical reasoning without comprehensively addressing vulnerable systems and processes surrounding diagnosis. To close this implementation gap, the US Centers for Disease Control and Prevention (CDC) released the Core Elements of …

Recommendations For Design, Execution, And Reporting Of Studies On Experimental Thoracic Aortopathy In Preclinical Models, Ketan B Ghaghada, Jay D Humphrey, Scott A Lemaire, Yanming Li, Ziad Mallat, Yvan Saeys, Hisashi Sawada, Ying H Shen, Toru Suzuki, Zhen Zhou

Faculty, Staff and Students Publications

There is a recent dramatic increase in research on thoracic aortic diseases that includes aneurysms, dissections, and rupture. Experimental studies predominantly use mice in which aortopathy is induced by chemical interventions, genetic manipulations, or both. Many parameters should be deliberated in experimental design in concert with multiple considerations when providing dimensional data and characterization of aortic tissues. The purpose of this review is to provide recommendations on guidance in (1) the selection of a mouse model and experimental conditions for the study, (2) parameters for standardizing detection and measurements of aortic diseases, (3) meaningful interpretation of characteristics of diseased aortic …

Challenges And Opportunities Of Acquiring Cortical Recordings For Chronic Adaptive Deep Brain Stimulation, Wayne K Goodman, Aysegul Gunduz, Wolf-Julian Neumann, Nicole R Provenza, Maryam M Shanechi, Sameer A Sheth, Philip A Starr, Alik S Widge

Faculty, Staff and Students Publications

Deep brain stimulation (DBS), a proven treatment for movement disorders, also holds promise for the treatment of psychiatric and cognitive conditions. However, for DBS to be clinically effective, it may require DBS technology that can alter or trigger stimulation in response to changes in biomarkers sensed from the patient's brain. A growing body of evidence suggests that such adaptive DBS is feasible, it might achieve clinical effects that are not possible with standard continuous DBS and that some of the best biomarkers are signals from the cerebral cortex. Yet capturing those markers requires the placement of cortex-optimized electrodes in addition …

Translational Genomics Of Osteoarthritis In 1,962,069 Individuals, Cindy G Boer, Merry-Lynn Mcdonald, J Patrick Pett, Young-Chan Park, Margo Tuerlings, Rick Mulders, Andrei Barysenka, Ana Luiza Arruda, Vinicius Tragante, Alison Rocco, Norbert Bittner, Shibo Chen, Susanne Horn, Vinodh Srinivasasainagendra, Ken To, Georgia Katsoula, Peter Kreitmaier, Amabel M M Tenghe, Arthur Gilly, Liubov Arbeeva, Lane G Chen, Agathe M De Pins, Daniel Dochtermann, Cecilie Henkel, Jonas Höijer, Shuji Ito, Penelope A Lind, Bitota Lukusa-Sawalena, Aye Ko Ko Minn, Marina Mola-Caminal, Akira Narita, Chelsea Nguyen, Ene Reimann, Micah D Silberstein, Anne-Heidi Skogholt, Hemant K Tiwari, Michelle S Yau, Ming Yue, Wei Zhao, Jin J Zhou, George Alexiadis, Karina Banasik, Søren Brunak, Archie Campbell, Jackson T S Cheung, Joseph Dowsett, Tariq Faquih, Jessica D Faul, Lijiang Fei, Anne Marie Fenstad, Takamitsu Funayama, Maiken E Gabrielsen, Chinatsu Gocho, Kirill Gromov, Thomas Hansen, Georgi Hudjashov, Thorvaldur Ingvarsson, Jessica S Johnson, Helgi Jonsson, Saori Kakehi, Juha Karjalainen, Elisa Kasbohm, Susanna Lemmelä, Kuang Lin, Xiaoxi Liu, Marieke Loef, Massimo Mangino, Daniel Mccartney, Iona Y Millwood, Joshua Richman, Mary B Roberts, Kathleen A Ryan, Dino Samartzis, Manu Shivakumar, Søren T Skou, Sachiyo Sugimoto, Ken Suzuki, Hiroshi Takuwa, Maris Teder-Laving, Laurent Thomas, Kohei Tomizuka, Constance Turman, Stefan Weiss, Tian T Wu, Eleni Zengini, Yanfei Zhang, Arcogen Consortium, Argo Consortium, Dbds Genomic Consortium, Estonian Biobank Research Team, Finngen, Genes & Health Research Team, Hunt All-In Pain, Million Veteran Program, Regeneron Genetics Center, Manuel Allen Revez Ferreira, George Babis, Aris Baras, Tyler Barker, David J Carey, Kathryn S E Cheah, Zhengming Chen, Jason Pui-Yin Cheung, Mark Daly, Renée De Mutsert, Charles B Eaton, Christian Erikstrup, Ove Nord Furnes, Yvonne M Golightly, Daniel F Gudbjartsson, Nils P Hailer, Caroline Hayward, Marc C Hochberg, Georg Homuth, Laura M Huckins, Kristian Hveem, Shiro Ikegawa, Muneaki Ishijima, Minoru Isomura, Marcus Jones, Jae H Kang, Sharon L R Kardia, Margreet Kloppenburg, Peter Kraft, Nobuyuki Kumahashi, Suguru Kuwata, Ming Ta Michael Lee, Phil H Lee, Robin Lerner, Liming Li, Steve A Lietman, Luca Lotta, Michelle K Lupton, Reedik Mägi, Nicholas G Martin, Timothy E Mcalindon, Sarah E Medland, Karl Michaëlsson, Braxton D Mitchell, Dennis O Mook-Kanamori, Andrew P Morris, Toru Nabika, Fuji Nagami, Amanda E Nelson, Sisse Rye Ostrowski, Aarno Palotie, Ole Birger Pedersen, Frits R Rosendaal, Mika Sakurai-Yageta, Carsten Oliver Schmidt, Pak Chung Sham, Jasvinder A Singh, Diane T Smelser, Jennifer A Smith, You-Qiang Song, Erik Sørensen, Gen Tamiya, Yoshifumi Tamura, Chikashi Terao, Gudmar Thorleifsson, Anders Troelsen, Aspasia Tsezou, Yuji Uchio, A G Uitterlinden, Henrik Ullum, Ana M Valdes, David A Van Heel, Robin G Walters, David R Weir, J Mark Wilkinson, Bendik S Winsvold, Masayuki Yamamoto, John-Anker Zwart, Kari Stefansson, Ingrid Meulenbelt, Sarah A Teichmann, Joyce B J Van Meurs, Unnur Styrkarsdottir, Eleftheria Zeggini

Faculty, Staff and Students Publications

Osteoarthritis is the third most rapidly growing health condition associated with disability, after dementia and diabetes1. By 2050, the total number of patients with osteoarthritis is estimated to reach 1 billion worldwide2. As no disease-modifying treatments exist for osteoarthritis, a better understanding of disease aetiopathology is urgently needed. Here we perform a genome-wide association study meta-analyses across up to 489,975 cases and 1,472,094 controls, establishing 962 independent associations, 513 of which have not been previously reported. Using single-cell multiomics data, we identify signal enrichment in embryonic skeletal development pathways. We integrate orthogonal lines of evidence, including …

The Multiverse Of Cd46 And Oncologic Interactions, M. Kathryn Liszewski, John P. Atkinson

2020-Current year OA Pubs

Initially identified as a regulator of complement activation on host cells, the known roles of CD46 (membrane cofactor protein [MCP]) have expanded. We now know that this ancient molecule is expressed on almost all nucleated cells as a family of four predominant isoforms. It also is involved in human reproduction, modulation of T cell activation and immunoinflammatory effector functions, autophagy, and the newly identified intracellular complement system (complosome). CD46 is also known as a "pathogen" magnet, being a port of entry for at least seven bacteria and five viruses. Moreover, CD46 has recently emerged as a key player in cancer …

Brain Morphometry In Infants Later Diagnosed With Autism Is Related To Later Language Skills, Luke E Moraglia, Kelly N Botteron, Natasha Marrus, Et Al.

2020-Current year OA Pubs

Autism spectrum disorder (ASD) presents early in life with distinct social and language differences. This study explores the association between infant brain morphometry and language abilities using an infant-sibling design. Participants included infants who had an older sibling with autism (high likelihood, HL) who were later diagnosed with autism (HL-ASD; n = 31) and two non-autistic control groups: HL-Neg (HL infants not diagnosed with autism; n = 126) and LL-Neg (typically developing infants who did not have an older sibling with autism; n = 77). Using a whole-brain approach, we measured cortical thickness and surface area at 6 and 12 …

Research Participant Interest In Learning Results Of Biomarker Tests For Alzheimer Disease, Spondita Goswami, Sarah M Hartz, Amy Oliver, Sacha Jackson, Tomi Ogungbenle, Alissa Evans, Erin Linnenbringer, Krista L Moulder, John C Morris, Jessica Mozersky

2020-Current year OA Pubs

IMPORTANCE: While available evidence suggests there are not major psychosocial harms of return of research results, there are limited data on uptake of Alzheimer disease (AD) research results or reasons for declining to learn results among participants in AD research studies.

OBJECTIVES: To quantitatively and qualitatively evaluate who declines to learn individual AD biomarker research results and what factors are associated with the decision.

DESIGN, SETTING, AND PARTICIPANTS: This observational cohort study was conducted between November 1, 2020, and April 15, 2024, among participants aged 65 years or older with unimpaired cognition and available biomarker data (apolipoprotein E genotype and …

Simulation-Guided Pan-Cancer Analysis Identifies A Novel Regulator Of Cpg Island Hypermethylation Heterogeneity, Xianglin Zhang, Wei Zhang, Jinyi Zhang, Xiuhong Lyu, Haoran Pan, Tianwei Jia, Ting Wang, Xiaowo Wang, Haiyang Guo

2020-Current year OA Pubs

CpG island hypermethylation, a hallmark of cancer, exhibits substantial heterogeneity across tumors, presenting both opportunities and challenges for cancer diagnostics and therapeutics. While this heterogeneity offers potential for patient stratification to predict clinical outcomes and personalize treatments, it complicates the development of robust biomarkers for early detection. Understanding the mechanisms driving this heterogeneity is essential for advancing biomarker design. Here, simulation-based analyses demonstrate that tumor purity and the high prevalence of low epi-mutation samples significantly obscure the identification of negative, rather than positive, regulators of CpG island hypermethylation, limiting a comprehensive understanding of heterogeneity sources. By addressing these confounders, we …

Igtp: Learning Interpretable Cellular Embedding For Inferring Biological Mechanisms Underlying Single-Cell Transcriptomics, Xiaoyang Li, Nuo Hu, Isha Kawosa, Patrick G Pilié, Pratip K Bhattacharya, Degui Zhi, Xiaoqian Jiang, Zhongming Zhao, Yulin Dai

Faculty, Staff and Student Publications

Deep-learning models like Variational AutoEncoder have enabled low dimensional cellular embedding representation for large-scale single-cell transcriptomes and shown great flexibility in downstream tasks. However, biologically meaningful latent space is usually missing if no specific structure is designed. Here, we engineered a novel interpretable generative transcriptional program (iGTP) framework that could model the importance of transcriptional program (TP) space and protein-protein interactions (PPI) between different biological states. We demonstrated the performance of iGTP in a diverse biological context using gene ontology, canonical pathway, and different PPI curation. iGTP not only elucidated the ground truth of cellular responses but also surpassed other …

Kinasefusiondb: An Integrative Knowledge Of Kinase Fusion Proteins In Multi-Scales, 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. …

Glutamate Gating Of Ampa-Subtype Iglurs At Physiological Temperatures, Anish Kumar Mondal, Elisa Carrillo, Vasanthi Jayaraman, Edward C Twomey

Faculty, Staff and Student Publications

Ionotropic glutamate receptors (iGluRs) are tetrameric ligand-gated ion channels that mediate most excitatory neurotransmission1. iGluRs are gated by glutamate, where on glutamate binding, they open their ion channels to enable cation influx into postsynaptic neurons, initiating signal transduction1,2. The structural mechanics of how glutamate gating occurs in full-length iGluRs is not well understood. Here, using the α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid subtype iGluR (AMPAR), we identify the glutamate-gating mechanism. AMPAR activation by glutamate is augmented at physiological temperatures. By preparing AMPARs for cryogenic-electron microscopy at these temperatures, we captured the glutamate-gating mechanism. Activation by glutamate initiates ion channel opening that involves all ion …

Chd1 Loss Reprograms Srebp2-Driven Cholesterol Synthesis To Fuel Androgen-Responsive Growth And Castration Resistance In Spop-Mutated Prostate Tumors, Feiyu Chen, Haoyan Li, Yin Wang, Ximing Tang, Kevin Lin, Chenling Meng, Javier Leo, Xin Liang, Jie Zhang, Vivien Van, Iqbal Mahmud, Bo Wei, Philip L Lorenzi, Maria G Raso, Ana Aparicio, Yue Lu, Daniel E Frigo, Boyi Gan, Di Zhao

Faculty, Staff and Student Publications

Despite undergoing castration, most individuals with prostate cancer (PCa) experience progression to castration-resistant PCa (CRPC), in which the androgen receptor (AR) remains an important driver. Concurrent genetic alterations in SPOP and CHD1 define a unique subtype of PCa, but their interactions in tumor progression and therapy response remain unclear. Here, we provide genetic evidence supporting that CHD1 loss accelerates disease progression and confers resistance to castration in males with SPOP-mutated PCa. By leveraging genetic engineering and multiomics, we uncovered a noncanonical function of CHD1 in lipid metabolism reprogramming via repressing the SREBP2 transcriptome. Loss of CHD1 induces cholesterol production, supplies …

From Epithelium To Therapy: Transitional Cells In Lung Fibrosis, Sarah Y Shin, Jichao Chen, Irit Milman Krentsis, Yair Reisner, Rodeo Abrencillo, Danielle Wu

Faculty, Staff and Student Publications

Patients with idiopathic pulmonary fibrosis and lung fibrosis secondary to infections such as influenza A and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have limited treatment options outside of supportive therapy and lung transplantation. Multiple lung stem cell populations have been implicated in the pathogenesis of lung fibrosis, and more progenitor cell populations continue to be discovered and characterized. In this review, we summarize the functions and differentiation pathways of various cells that constitute the lung epithelium. We then focus on two subpopulations of KRT5

Rna Sculpting By The Primordial Helix-Clasp-Helix-Strand-Loop (Hch-Sl) Motif Enforces Chemical Recognition Enabling Diverse Kh Domain Functions, John A Tainer, Susan E Tsutakawa

Faculty, Staff and Student Publications

In all domains of life, the ancient K homology (KH) domain superfamily is central to RNA processes including splicing, transcription, posttranscriptional gene regulation, signaling, and translation. Proteins with 1 to 15 KH domains bind single-strand (ss) RNA or DNA with base sequence specificity. Here, we examine over 40 KH domain experimental structures in complex with nucleic acid (NA) and define a novel Helix-clasp-Helix-Strand-Loop (HcH-SL) NA recognition motif binding 4 to 5 nucleotides using 10 to 18 residues. HcH-SL includes and extends the Gly-X-X-Gly (GXXG) signature sequence "clasp" that brings together two helices as an ∼90° helical corner. The first helix …

Dose Prediction Via Deep Learning To Enhance Treatment Planning Of Lung Radiotherapy Including Simultaneous Integrated Boost Techniques, Wenhua Cao, Mary Gronberg, Stephen Bilton, Hana Baroudi, Skylar Gay, Zhongxing Liao, Karen Hoffman, Laurence E Court

Faculty, Staff and Student Publications

Background: Recent studies have shown deep learning techniques are able to predict three-dimensional (3D) dose distributions of radiotherapy treatment plans. However, their use in dose prediction for treatments with varied prescription doses including simultaneous integrated boost (SIB), that is, using multiple prescription doses within the same plan, and benefit in improving plan quality should be validated.

Purpose: To investigate the feasibility and potential benefit of using deep learning to predict dose distribution of volumetric modulated arc therapy (VMAT) including SIB techniques and improve treatment planning for patients with lung cancer.

Methods: The dose prediction model was trained with 93 retrospective …