Genetics and Genomics Commons^™

Mitochondrial Trna-Derived Fragments As Candidate Metastasis-Modifying Rna, Katy L. Swancutt, R. Mckinnon Walsh, Sydney Quijano, Emily Schueddig, Devin C. Koestler, Adam D. Scheid, Tony Vanden Bush, Yi Jing, Isidore Rigoutsos, Danny R. Welch

Computational Medicine Center Faculty Papers

UNLABELLED: How mitochondrial DNA (mtDNA) polymorphisms influence complex phenotypes remains poorly understood. Using mitochondrial-nuclear exchange mice, we previously showed that mtDNA single-nucleotide polymorphisms (SNP) modify metastasis, cardiovascular disease, and epigenetic marks independently of metabolic differences. The only mtDNA SNP correlating with these phenotypes resides in the gene encoding mitochondrial transfer RNA (tRNA)-arginine [mt-tRNAArg (UCG), mt-TR], suggesting a role for non-protein-coding loci. In this study, we identify and preliminarily characterize previously undescribed tRNA-derived fragments (tRF) generated from mt-TRs. Northern blotting revealed distinct tRF that are differentially expressed among mtDNA SNPs, between lung and liver, and between sexes. Surprisingly, small RNA sequencing …

Cells And Networks In Flux: Rethinking Ontogenesis And Pathogenesis, Mark L. Tykocinski

Department of Pathology, Anatomy, and Cell Biology Faculty Papers

Organ and tissue functions emerge from the coordinated activity of cell networks. Therapeutics that act on pathogenic cell networks, modulating their cellular interplay, follow naturally. Over several decades, our laboratory has developed a series of approaches for rewiring cell networks, culminating in a class of cell surface-directed signal converter proteins (SCPs) that do so by modulating juxtacrine and autocrine signaling in and among their nodal cells. A first such SCP has now produced encouraging clinical data for cancer immunotherapy. Yet, these early network-directed fusion proteins rest on a deliberately simplified picture: discrete end-cell types plugged into graphically tractable networks. That …

Integrative Rna-Seq Analysis Reveals Stress Type-Dependent Lncrna-Centered Co-Expression Networks Across Human Cellular Stress Contexts, Christina Anastasiadi, Aggeliki Kasapi, Ioannis Sentementes, Vasileios Gouzouasis, Margaritis Tsifintaris, Antonis Giannakakis

Computational Medicine Center Faculty Papers

Long non-coding RNAs (lncRNAs) are emerging as important regulators of cellular adaptation to environmental and molecular stress, but the extent to which their responses remain reproducible and stress-type-dependent across human stress conditions remains unclear. Here, we performed an integrative transcriptomic meta-analysis of human stress-response datasets from ASTRA and GEO, focusing on normal, non-cancerous, wild-type human cell lines exposed to oxidative stress (H2O2), hypoxia, heat stress, or UV-induced DNA damage. Gene Ontology (GO) enrichment analysis of differentially expressed (DE) protein-coding mRNAs confirmed that the resulting stress-stratified comparison captured biologically coherent transcriptional programmes to oxidative stress signaling, hypoxic and metabolic adaptation, heat-induced …

Fraction-Seq: An Integrated Experimental And Computational Workflow For Determining The Localization And Abundance Of Small Non-Coding Rnas In Subcellular Compartments, Siddhartha Shah, Tess Cherlin, Yi Jing, Stepan Nersisyan, Benjamin E. Leiby, Isidore Rigoutsos

Computational Medicine Center Faculty Papers

Small non-coding RNAs (sncRNAs) have garnered considerable attention in recent years, following accumulating evidence of their critical roles in many cellular processes. Among sncRNAs, microRNAs (miRNAs) and their isoforms (isomiRs), tRNA-derived fragments (tRFs), rRNA-derived fragments (rRFs), and Y RNA-derived fragments (yRFs) account for more than 95% of all sncRNAs found in cells. Despite their critical regulatory roles, most sncRNAs remain uncharacterized because their functionalization is a lengthy and challenging undertaking. Knowing an sncRNA's abundance helps prioritize among the various choices, while knowing where it localizes in the cell greatly limits the number and identity of its potential targets and helps …

From Chromosomes To Precision Therapy: Clinical Cytogenetics And Cytogenomics In The Era Of Genomic Medicine, Jinglan Liu

Department of Pathology, Anatomy, and Cell Biology Faculty Papers

No abstract provided.

Pearson Syndrome: Expanding The Clinical Spectrum Of A Mitochondrial Cytopathy-A Case Report, Alizah Faisal, Hooria Waqas, Hania Masood, Armeen Butt, Saad Rahman, Muhammad Sheraz Hameed, Syed Rafay Hussain Zaidi, Ali Iqbal, Muhammad Usama Naveed

Department of Medicine Faculty Papers

BACKGROUND: Pearson syndrome (PS) is a rare multisystem mitochondrial disorder characterized by single large-scale mitochondrial DNA deletions (SLSMDs). It typically presents in infancy with refractory sideroblastic anemia, exocrine pancreatic insufficiency, and failure to thrive. Due to its heterogeneous manifestations and resemblance to other hematological conditions, early diagnosis remains a clinical challenge.

CASE PRESENTATION: A south asian male infant presented with persistent pancytopenia, severe anemia unresponsive to intravenous and oral iron and multivitamin supplements, exocrine pancreatic insufficiency, failure to thrive, and metabolic acidosis. Born to consanguineous parents, the child had a significant family history of early infant deaths and hematological abnormalities. …

Proteogenomics Of Hypertrophic Cardiomyopathy Reveals Subtype-Specific Therapy, Ke Ma, Jie Yang, Hongchang Guo, Ping Li, Xiaowei Li, Zhujun Dong, Jing Zhang, Congcong Zhang, Pengli Yang, Chongpei Hua, Shuolin Zhu, Guoqing Li, Jianchao Zhang, Ningyu Ding, Jizheng Wang, Xin-Liang Ma, Zhuofeng Lin, Jianzeng Dong, Yang Li, Yulin Li

Department of Emergency Medicine Faculty Papers

BACKGROUND: Hypertrophic cardiomyopathy (HCM) is a heterogeneous disease with diverse prognosis. The underlying mechanisms remain unknown, resulting in limited risk stratification and therapeutic strategies. This study aimed to elucidate molecular subtypes of HCM through integrated proteogenomic analysis and explore subtype-specific therapeutic strategies.

METHODS: We conducted an integrated proteogenomic analysis of 132 patients with HCM using myocardial samples, incorporating whole-exome sequencing, RNA sequencing, and proteomics. Unsupervised clustering was used to identify HCM subtypes, which were validated in heart tissues and human induced pluripotent stem cell-derived cardiomyocytes from 2 independent HCM subsets. Subtype-specific signatures and pathways were explored, and their causal link …

Crispr/Cas9-Based Genome Editing: Understanding Differences In Dna Repair Pathways, Profiles, And Outcomes, Samuel Effah, Shirley Barrera, Nahia Urturi Ortiz, Will Dampier, Michael Nonnemacher, Brian Wigdahl

Kimmel Cancer Center Faculty Papers

Over a decade of advances in Clustered Regularly Interspersed Short Palindromic Repeats (CRISPR) and CRISPR-associated protein 9 (Cas9)-based technologies have culminated in the first-ever FDA-approved CRISPR/Cas-based therapy. Aside from this approved therapy for sickle cell anemia, several CRISPR/Cas-based therapies are currently under development or testing for a range of chronic diseases, including viral diseases like human immunodeficiency virus type 1 (HIV-1) infection, genetic diseases like familial hypercholesterolemia, and cancer. The success of these therapies hinges on the effective delivery of CRISPR/Cas9 components to target regions, efficient Cas endonuclease editing, repair profiles generated, and their resulting outcomes. Here, we discuss the …

Disease-Causing Mfn2 Mutants Impair Mitochondrial Fission Dynamics By Distinct Drp1 Dysregulation, Daniel Lagos, Pamela R. De Santiago, Nicolás Pérez-Bravo, Benjamín Cartes-Saavedra, Josefa Vial-Brizzi, Diego Troncoso-Chandía, Oliver Podmanicky, Rita Horvath, Verónica Eisner

Department of Pathology, Anatomy, and Cell Biology Faculty Papers

Mitochondria undergo fusion and fission. While DRP1 regulates fission, fusion is controlled by OPA1, MFN1, and MFN2. The balance between these processes and the crosstalk between machineries remains poorly understood. MFN2 mutations cause Charcot-Marie-Tooth disease type 2 A (CMT2A), affecting mitochondrial fusion and morphology. However, their role in fission is unclear. Using skin fibroblasts from CMT2A patients (L248H and M376V MFN2 mutations) and wild-type mouse embryonic fibroblasts expressing these variants, we studied how MFN2 mutations impact mitochondrial dynamics beyond fusion. We analyzed mitochondrial morphology and dynamics by live-cell confocal microscopy and tested fusion/fission protein levels, oxygen consumption rate (OCR), extracellular …

A Disorder-Aware Computational Framework To Identify Structurally Tractable Targets In Proliferative Vitreoretinopathy, Mak B. Djulbegovic, Nedym Hadzijahic, David J. Taylor Gonzalez, Michael Antonietti, Sidra Zafar, Ajay E. Kuriyan

Wills Eye Hospital Papers

OBJECTIVE: Proliferative vitreoretinopathy (PVR) remains a major cause of failure after rhegmatogenous retinal detachment repair and lacks effective pharmacologic therapies. Although epithelial-mesenchymal transition (EMT) is central to PVR pathogenesis, the structural determinants governing the tractability of EMT regulators, particularly those involving intrinsic disorder, remain poorly defined. We developed a disorder-aware, artificial intelligence-enabled computational framework to evaluate EMT-associated proteins in PVR and prioritize structurally tractable regulators for structure-based targeting.

DESIGN: A computational, hypothesis-generating study employing an in silico screening and structural modeling pipeline.

SUBJECTS: No human subjects or biological specimens were included. The dataset comprised 25 EMT-associated proteins implicated in PVR, …

A Randomized Study Of Digital Versus Genetic Counselor Return Of Actionable Genetic Research Results To Biobank Participants (Respect3 Study), Anuja Rajendra Godbole, Elisabeth Wood, Brian Egleston, Lily Hoffman-Andrews, Sarah Brown, Sarah Howe, Sanjana Shastri, Rajia Mim, Justin Feng, Anjali Owens, Susan Domchek, Reed Pyeritz, Bryson Katona, Staci Kallish, Giorgio Sirugo, Joellen Weaver, Linda Fleisher, Kuang-Yi Wen, Elena Elkin, Katherine Nathanson, Daniel Rader, Angela Bradbury

Department of Medical Oncology Faculty Papers

BACKGROUND: There is consensus that research participants should be informed about plans for return of genetic research results. However, best practices for return of results in large biobank and cohort studies do not exist currently, and how best to communicate actionable genetic research results remains unclear. While having genetic counselors disclose these results may be ideal to ensure understanding, minimize distress, and optimize medical follow-up, genetic counselor (GC) workforce shortages and costs are barriers. The RESPECT3 study evaluates whether digital delivery alternatives for pre-disclosure education and return of actionable genetic research results is non-inferior to remote telehealth disclosure by a …

Auditory Stimulation Rescues Cognitive Deficit In Fmr1-Ko Mice, Mohamed Ouardouz, Amanda E. Hernan, J. Matthew Mahoney, Rodney C. Scott

Department of Medicine Faculty Papers

Background/Objectives: Fragile X Syndrome (FXS) is a neurodevelopmental disorder caused by a triplet repeat expansion in the Fmr1 gene leading to the loss of Fragile X Messenger Ribonucleoprotein (Fmr1 protein). The loss of Fmr1 protein modulates many cell biological processes and leads to the emergence of intellectual disability and autism. FXS is modeled in Fmr1-KO mice that display features consistent with human FXS, including hypersensitivity, cognitive and learning deficits, hyperactivity and audiogenic seizures. Here, we investigated the effect of auditory stimulation during a range of developmental stages on recognition memory and sociability deficits in Fmr1-KO mice. Methods: Fmr1-KO mice were …

From Fair To Cure: Guidelines For Computational Models Of Biological Systems, Herbert M. Sauro, Eran Agmon, Michael L. Blinov, John H. Gennari, Joseph L. Hellerstein, Adel Heydarabadipour, Bartholomew E. Jardine, Elebeoba May, David P. Nickerson, Lucian P. Smith, Gary D. Bader, Frank T. Bergmann, Patrick M. Boyle, Andreas Dräger, James R. Faeder, Song Feng, Juliana Freire, Fabian Fröhlich, James A. Glazier, Thomas E. Gorochowski, Tomas Helikar, Henning Hermjakob, Stefan Hoops, Peter Hunter, Princess I. Imoukhuede, Sarah M. Keating, Matthias König, Reinhard Laubenbacher, Leslie M. Loew, Carlos F. Lopez, William W. Lytton, Rahuman S. Malik-Sheriff, Andrew Mcculloch, Pedro Mendes, Lealem Mulugeta, Chris J. Myers, Jerry G. Myers, Anna Niarakis, David D. Van Niekerk, Brett G. Olivier, Alexander A. Patrie, Ellen M. Quardokus, Nicole Radde, Johann M. Rohwer, Sven Sahle, James C. Schaff, Falk Schreiber, T. J. Sego, Janis Shin, Jacky L. Snoep, Rajanikanth Vadigepalli, H. Steven Wiley, Dagmar Waltemath, Ion I. Moraru

Computational Medicine Center Faculty Papers

Guidelines for managing scientific data have been established under the FAIR principles, requiring that data be Findable, Accessible, Interoperable, and Reusable. In many scientific disciplines, especially computational biology, both data and models are key to progress. For this reason, and recognizing that such models are a very special type of "data", we argue that computational models, especially mechanistic models prevalent in medicine, physiology and systems biology, deserve a complementary set of guidelines. We propose the CURE principles, emphasizing that models should be Credible, Understandable, Reproducible, and Extensible. We delve into each principle, discussing verification, validation, and uncertainty quantification for model …

Epigenetic Activation Of Ebv Bglf4 Determines Antiviral-Based Regimen Response In Ebv+Cns Lymphoproliferative Disease, Christoph Weigel, Haley Klimaszewski, Fode Tounkara, Selamawit Addissie, Sarah Schlotter, Betsy Pray, James Dugan, Bradley Haverkos, Lynda Villagomez, Mark Lustberg, Pierluigi Porcu, Timothy Voorhees, Richard Ambinder, Shannon Kenney, Joyce Fingeroth, Henri-Jacques Delecluse, Michael Caligiuri, Lapo Alinari, Ginny Bumgardner, Christopher Oakes, Robert Baiocchi

Kimmel Cancer Center Faculty Papers

Epstein-Barr virus (EBV)–associated primary central nervous system lymphoproliferative diseases (EBV+PCNSL) are aggressive conditions with poor prognoses. We previously reported durable responses in patients with PCNSL who were treated with the antivirals ganciclovir and azidothymidine, plus rituximab and dexamethasone (GARD). Responses were associated with the detection of the lytic viral protein kinases, BGLF4 and BXLF1. These antiviral activating kinases are associated with lytic EBV, however, the mechanism for expression in latently infected EBV+CNSL is unknown. Expanding on previous work, we provide long-term clinical outcome data (N = 24) and show that RNA expression analysis in CNSL tissue biopsies (n = 12) …

Mutations Altering The Dna Binding Domains Of The Human Rad52 Protein Exert Distinct Effects On Homologous Recombination Repair In Saccharomyces Cerevisiae, Glenn M. Manthey, Elise W. Wolf, Jason Xu, M. Cristina Negritto, Renee A. Bouley, Ruben C. Petreaca, Adam M. Bailis

College of Health Professions Faculty Papers

RAD52 is a conserved member of the homologous recombination repair (HRR) apparatus from yeast to humans. Mutating conserved amino acids in the internal and external DNA binding domains of the human RAD52 protein (HsRAD52) has discrete effects in vitro. Previous studies have shown that HsRAD52 supports multiple mechanisms of HRR in budding yeast, suggesting the utility of this model system for exploring the correspondence between losses of HsRAD52 function in vitro and their impact in vivo. We report that disrupting the internal and external DNA binding domains of HsRAD52 produced distinct effects on the repair of genomic DNA double-strand breaks …

A Tissue Renewal-Based Mechanism Drives Colon Tumorigenesis, Ryan M. Boman, Gilberto Schleiniger, Christopher Raymond, Juan P. Palazzo, Anne Shehab, Bruce M. Boman

Department of Pathology, Anatomy, and Cell Biology Faculty Papers

Our Goal is to identify how colorectal cancer (CRC) arises in the single-layered cell epithelium (simple columnar epithelium) that lines the luminal surface of the large intestine. Background: We recently reported that the dynamic organization of cells in colonic epithelium is encoded by five biological rules and conjectured that colon tumorigenesis involves an autocatalytic tissue renewal reaction. Introduction Our objective was to define how altered crypt turnover explains tissue disorganization that leads to adenoma morphogenesis and CRC. Hypothesis: Changes in rate of tissue renewal-based cell polymerization leads to epithelial expansion and tissue disorganization during adenoma histogenesis. Methods: Accordingly, we created …

Epigenetic Landscape In Lysosomal Storage Disorders: Mechanisms And Modulation, Andrés Felipe Leal, Harry Pachajoa, Shunji Tomatsu

Department of Pediatrics Faculty Papers

Lysosomal storage disorders (LSDs) are rare substrate-accumulating diseases primarily characterized by mutations in genes encoding proteins involved in lysosomal function, most of which have enzymatic activity. Resulting lysosomal dysfunction leads to the overaccumulation of non- or partially degraded substrates. While it is true that enzyme deficiency is the primary cause of LSDs, the epigenetic alterations in DNA methylation, miRNA expression, and histone modifications appear to be critical mechanisms involved in the pathogenesis of LSDs. As epigenetic marks are, in most cases, reversible, their study becomes vital to developing strategies aimed at reversing epigenome alterations. Although classical therapeutic alternatives aim to …

Organism-Specific Sequence Motifs Link Ribosomal Rnas To Brain Disorders, Isidore Rigoutsos, Stepan Nersisyan, Eric Londin, Iliza Nazeraj, Bonnie Dong, Anastasios Vourekas, Phillipe Loher

Computational Medicine Center Faculty Papers

We report that in humans, mice, fruit flies, and worms, the ribosomal RNAs and the transcribed spacers of 45S are densely packed with organism-specific sequence motifs that are primarily shared with nervous system genes. The human ribosomal RNAs and 45S spacers contain 1,723 such motifs. Specific combinations of these motifs are predominantly found in 3,430 human nervous system genes, of which 1,046 are genes associated with brain disorders, including autism spectrum disorder and schizophrenia. The sequences of the 1,723 motifs and their locations in the introns and exons of nervous system genes are unique to primates. Experimental evidence indicates that …

Evaluating The Potential And Limitations Of Nanopore Adaptive Sampling For Targeted Transcriptome Sequencing, Nicole Debruyne, Feng Wang, Yang Xu, Lan Lin

Department of Pharmacology, Physiology, and Cancer Biology Faculty Papers

Long-read RNA sequencing is a powerful technology for transcriptomics, but low throughput and high cost pose challenges. Adaptive sampling, a feature of Oxford Nanopore Technologies, offers real-time enrichment by selectively ejecting non-target molecules. We evaluate adaptive sampling for human transcriptome analysis. Adaptive sampling modestly enriches target transcripts (1.3 × for cDNA sequencing, 1.9 × for direct RNA sequencing) while preserving gene expression and splicing profiles, but is significantly less effective than cDNA hybridization capture. Short read lengths and low sequencing quality limit performance. Adaptive sampling on direct RNA sequencing can boost target yield (~ 20%) within fixed run times, potentially …

Dynamic Rewiring Of Microrna Networks In The Brainstem Autonomic Control Circuits During Hypertension Development In The Female Spontaneously Hypertensive Rat, Alison Moss, Ankita Srivastava, Lakshmi Kuttippurathu, James S. Schwaber, Rajanikanth Vadigepalli

Department of Pathology, Anatomy, and Cell Biology Faculty Papers

We describe global microRNA (miRNA) changes in the central autonomic control circuits during the development of neurogenic hypertension. Using the female spontaneously hypertensive rat (SHR) and the normotensive Wistar Kyoto (WKY), we analyzed the dynamic miRNA expression changes in three brainstem regions-the nucleus of the solitary tract, caudal ventrolateral medulla, and rostral ventrolateral medulla-as a time series beginning at 8 wk of age before hypertension onset through to extended chronic hypertension. Our analysis yielded nine miRNAs that were significantly differentially regulated in all three regions between SHR and WKY over time. We collated computationally predicted gene targets of these nine …

Uncovering The Pml::Rara Fusion In Cytogenetically Cryptic And Fish-Negative Acute Promyelocytic Leukemia-A Case Report And Comprehensive Literature Review, Busra Delikkaya, Jaime Eberle-Singh, Arianna Morton, Jerald Gong, Jinglan Liu

Department of Pathology, Anatomy, and Cell Biology Faculty Papers

The PML::RARA fusion resulting from t(15;17) is the genetic hallmark of acute promyelocytic leukemia (APL), typically detected by cytogenetics and/or fluorescence in situ hybridization (FISH) studies. Rarely, APL patients present with normal cytogenetics and FISH findings, complicating diagnosis and delaying life-saving therapy. We report a 23-year-old male with clinical, morphologic and immunophenotypic features consistent with APL but negative for FISH studies. Despite prompt initiation of all-trans retinoic acid (ATRA) based on clinical suspicion, the patient succumbed to intracranial hemorrhage. Quantitative reverse transcriptase PCR (qRT-PCR) confirmed a long isoform PML::RARA fusion. A review of 34 published cytogenetics- and FISH-negative cases since …

Quantile Index Predictors Using R Package Hyper.Gam, Tingting Zhan, Misung Yi, Inna Chervoneva

Department of Pharmacology, Physiology, and Cancer Biology Faculty Papers

MOTIVATION: Evaluation of single-cell protein expression from immunohistochemistry images is used increasingly in biomedical research. Many proteins are used solely for phenotyping cells in the tumor microenvironment. Other proteins with meaningfully quantitative expression levels provide so-called functional protein biomarkers. There is still a limited number of methods and software tools available for utilizing the entire distributions of single-cell expression levels.

RESULTS: We present the R package hyper.gam, providing a supervised learning framework for deriving biomarkers based on single-cell distribution quantiles. The single-cell data are first converted into sample quantile functions, which are then used as predictors in scalar-on-function regression models …

Identification Of Serum Exosome Proteins In Systemic Sclerosis With Interstitial Lung Disease By Aptamer Proteomics, Sonsoles Piera-Velazquez, Simon T. Dillon, Xuesong Gu, Towia A. Libermann, Sergio A. Jimenez

Jefferson Institute of Molecular Medicine Papers and Presentations

OBJECTIVE: A major unmet need for Systemic Sclerosis (SSc) clinical management is the absence of well validated biomarkers for early diagnosis of SSc-associated interstitial lung disease (SSc-ILD). The objective of this study was to identify proteins contained within serum exosomes that may serve as potential biomarkers to differentiate patients with Diffuse SSc without SSc-ILD from patients with Diffuse SSc with SSc-ILD employing aptamer-based proteomics.

METHODS: Serum exosomes were isolated from two cohorts of patients. The first cohort included 15 patients with Diffuse SSc without SSc-ILD and 14 patients with Diffuse SSc with SSc-ILD and the second cohort included 12 patients …

Meta-Analysis Of Uveal Melanoma Genome-Wide Association Studies Identifies Novel Risk Loci And Population Effect Size Heterogeneity., Georgia Mies, Noah L. Tsao, Alexandre Houy, Sarah E. Coupland, Helen Kalirai, Asta Försti, Kari Hemminki, Hauke Thomsen, Marc-Henri Stern, Carol L. Shields, Scott M. Damrauer, Katheryn G. Ewens, Arupa Ganguly, Iain Mathieson

Wills Eye Hospital Papers

Uveal melanoma (UM) is a rare but frequently metastasizing cancer. Genome-wide association studies have identified three common genome-wide significant germline risk loci. Here, we perform a genome-wide association study on 401 new cases and conduct a meta-analysis with three independent previously published cohorts for a total sample size of 2,426 cases. We confirm the three previously identified risk loci and identify four additional genome-wide significant loci. We find that eye pigmentation-decreasing variants are systematically associated with increased UM risk and that selection for lighter pigmentation in the past 5,000 years explains about 73% of the difference in UM incidence between …

A Rubric For Assessing Conformance To The Ten Rules For Credible Practice Of Modeling And Simulation In Healthcare, Alexandra Manchel, Ahmet Erdemir, Lealem Mulugeta, Joy Ku, Bruno Rego, Marc Horner, William Lytton, Jerry Myers, Rajanikanth Vadigepalli

Computational Medicine Center Faculty Papers

The power of computational modeling and simulation (M&S) is realized when the results are credible, and the workflow generates evidence that supports credibility for the context of use. The Committee on Credible Practice of Modeling & Simulation in Healthcare was established to help address the need for processes and procedures to support the credible use of M&S in healthcare and biomedical research. Our community efforts have led to the Ten Rules (TR) for Credible Practice of M&S in life sciences and healthcare. This framework is an outcome of a multidisciplinary investigation from a wide range of stakeholders beginning in 2012. …

Integrating Radiogenomics And Machine Learning In Musculoskeletal Oncology Care, Rahul Kumar, Kyle Sporn, Akshay Khanna, Phani Paladugu, Chirag Gowda, Alex Ngo, Ram Jagadeesan, Nasif Zaman, Alireza Tavakkoli

Department of Medicine Faculty Papers

Musculoskeletal tumors present a diagnostic challenge due to their rarity, histological diversity, and overlapping imaging features. Accurate characterization is essential for effective treatment planning and prognosis, yet current diagnostic workflows rely heavily on invasive biopsy and subjective radiologic interpretation. This review explores the evolving role of radiogenomics and machine learning in improving diagnostic accuracy for bone and soft tissue tumors. We examine integrating quantitative imaging features from MRI, CT, and PET with genomic and transcriptomic data to enable non-invasive tumor profiling. AI-powered platforms employing convolutional neural networks (CNNs) and radiomic texture analysis show promising results in tumor grading, subtype differentiation …

Sirt6 Deficiency Promotes Senescence And Age-Associated Intervertebral Disc Degeneration In Mice, Pranay Ramteke, Bahiyah Watson, Mallory Toci, Victoria Tran, Shira N Johnston, Maria Tsingas, Ruteja Barve, Ramkrishna Mitra, Richard Loeser, John Collins, Makarand Risbud

Department of Orthopaedic Surgery Faculty Papers

Intervertebral disc degeneration is a major risk factor contributing to chronic low back and neck pain. While the etiological factors for disc degeneration vary, age is still one of the most important risk factors. Recent studies have shown the promising role of SIRT6 in mammalian aging and skeletal tissue health, however its role in the intervertebral disc health remains unexplored. We investigated the contribution of SIRT6 to disc health by studying the age-dependent spinal phenotype of mice with conditional deletion of Sirt6 in the disc (Acan^CreERT2; Sirt6^fl/fl). Histological studies showed a degenerative phenotype in knockout mice …

Functional Protein Biomarkers Based On Distributions Of Expression Levels In Single-Cell Imaging Data, Misung Yi, Tingting Zhan, Hallgeir Rui, Inna Chervoneva

Department of Pharmacology, Physiology, and Cancer Biology Faculty Papers

MOTIVATION: The intra-tumor heterogeneity of protein expression is well recognized and may provide important information for cancer prognosis and predicting treatment responses. Analytic methods that account for spatial heterogeneity remain methodologically complex and computationally demanding for single-cell protein expression. For many functional proteins, single-cell expressions vary independently of spatial localization in a substantial proportion of the tumor tissues, and incorporation of spatial information may not affect the prognostic value of such protein biomarkers.

RESULTS: We developed a new framework for using the distributions of functional single-cell protein expression levels as cancer biomarkers. The quantile functions of single-cell expressions are used …

Differential Impacts On Proteoglycan Expression In The Response To Lens Wounding In Reparative And Pro-Fibrotic Microenvironments, Janice L Walker, A. Sue Menko

Department of Pathology, Anatomy, and Cell Biology Faculty Papers

Ex vivo lens epithelial explant cultures created through a technique that mimics cataract surgery provided an ideal model with which to compare the impacts on proteoglycan expression in the response to wounding in both reparative promoting and pro-fibrotic microenvironments. On their native basement membrane capsule the injured lens epithelium undergoes regenerative repair, with the wound closing within a few days. Their migration across the wound area is led by a population of activated lens resident immune cells. The same leader cell population also directs the wounded epithelium to migrate off the outside edges of the lens explant across the surrounding …

What Single-Cell Rna Sequencing Taught Us About Mgmt Expression In Glioblastoma, Iyad Alnahhas, Mehak Majid Khan, Wenyin Shi

Department of Neurology Faculty Papers

Background.

The promoter methylation status of O-6-methylguanine-DNA methyltransferase (MGMTp) is an important prognostic marker in GBM. Previous studies showed that the expression of MGMT based on immunohistochemistry did not correlate with survival. This is partly because nontumor cells express MGMT. Single-cell sequencing assesses gene expression in tumor cells specifically.

Methods.

We used publicly available data from 3 recent single-cell/nucleus sequencing GBM studies that included MGMTp methylation status data for patients to evaluate MGMT expression at the single-cell level.

Results.

In the CPTAC study, a median of 0.82% and 5.7% of tumor cells expressed MGMT in the …