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Articles 1 - 30 of 633
Full-Text Articles in Genetics and Genomics
Cells And Networks In Flux: Rethinking Ontogenesis And Pathogenesis, Mark L. Tykocinski
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
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 …
From Chromosomes To Precision Therapy: Clinical Cytogenetics And Cytogenomics In The Era Of Genomic Medicine, Jinglan Liu
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
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
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
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
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 …
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
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 …
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
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 …
35 Individuals With Huwe1-Related Neurodevelopmental Disorder And Suggested Clinical Evaluations, Mindy H. Li, Deziree L. Coleman, Kelsey Hogan, Danielle Luz, Lindsay Bhandari, Newell Belnap, Tiffany Busa, Charles Coutton, Klaus Dieterich, Svetlana Gorokhova, Clara Hildebrandt, Rachel Logan, Milena Mariani, Manuela Morleo, Vincenzo Nigro, John Pappas, Rachel Rabin, Kelly Schoch, Angelo Selicorni, Vandana Shashi, Rebecca Spillman, Jennifer Sullivan, Charlotte Tardy, Samantha A. Schrier Vergano, Brock Grill, Kristin Baranano
35 Individuals With Huwe1-Related Neurodevelopmental Disorder And Suggested Clinical Evaluations, Mindy H. Li, Deziree L. Coleman, Kelsey Hogan, Danielle Luz, Lindsay Bhandari, Newell Belnap, Tiffany Busa, Charles Coutton, Klaus Dieterich, Svetlana Gorokhova, Clara Hildebrandt, Rachel Logan, Milena Mariani, Manuela Morleo, Vincenzo Nigro, John Pappas, Rachel Rabin, Kelly Schoch, Angelo Selicorni, Vandana Shashi, Rebecca Spillman, Jennifer Sullivan, Charlotte Tardy, Samantha A. Schrier Vergano, Brock Grill, Kristin Baranano
Department of Pediatrics Faculty Publications
HUWE1 (HECT, UBA, and WWE Domain Containing E3 Ubiquitin Protein Ligase1, OMIM 300697), located at Xp11.22, encodes a ubiquitin ligase that is highly conserved across species. Genetic variants in HUWE1 described in multiple independent studies cause X-linked intellectual disability, including in the patients identified by Juberg, Marsidi, and Brooks. This report describes 35 additional cases of individuals with variants in HUWE1 and suggested guidelines for clinical management. Our study includes several female cases, which have not been widely reported previously. Our findings confirm earlier reported clinical features including developmental delay, autism, hypotonia, short stature, and dysmorphic facial features as well …
An Ensemble Classifier For Ordinal Outcomes In High-Dimensional Genomics Data, Heranga K. Rathnasekara, Sinjini Sikdar
An Ensemble Classifier For Ordinal Outcomes In High-Dimensional Genomics Data, Heranga K. Rathnasekara, Sinjini Sikdar
Mathematics & Statistics Faculty Publications
Analysis of genomics data for predicting disease outcomes is a fast-growing field in medical research. There often exist categorical, specifically, ordinal outcomes that need to be predicted based on genomic profiles. This has led to recent development of some high-dimensional ordinal classification methods that can address the large dimensionality of the genomic covariate set. These high-dimensional ordinal models tend to vary widely in their performance depending on the data they are applied to and the evaluation criteria used. In this article, we outline an ensemble ordinal classifier that integrates different ordinal modeling approaches through bootstrap-based model evaluation, multi-metric performance assessment, …
A Complete Diploid Human Genome Benchmark For Personalized Genomics, Nancy F. Hansen, Nathan Dwarshuis, Hyun Joo Ji, Arang Rhie, Hailey Loucks, Glennis A. Logsdon, Mitchell R. Vallger, Jessica M. Storer, Juhyun Kim, Eleni Adam, Nicolas Alternose, Dmitry Antipov, Mobin Asri, Sofia Barreira, Stephanie C. Bohaczuk, Andrey V. Bzikadze, Sara A. Carioscia, Andrew Carroll, Kuan-Hao Chao, Yanan Chu, Arun Das, Peter Ebert, Adam English, Mark Fleharty, Laura E. Fleming, Giulio Formenti, Andrea Guarracino, Gabrielle A. Hartley, Katharine Jenike, Jenna Kalleberg, Yu Kang, Robert King, Josipa Lipovac, Mira Mastoras, Matthew W. Mitchell, Shloka Negi, Nathan D. Olson, Keisuke K. Oshima, Luis F. Paulin, Brandon D. Pickett, David Porubsky, Jane Ranchalis, Desh Ranjan, Mikko Rautiainen, Harold Riethman, Robert D. Schnabel, Fritz J. Sedlazeck, Kishwar Shafin, Mile Sikic, Steven J. Solar, Alexander P. Sweeten, Winston Timp, Justin Wagner, Dongahn Yoo, Ying Zhou, Erik Garrison, Evan E. Eichler, Michaeel C. Schatz, Andrew B. Stergachis, Rachel J. O'Neill, Karen H. Miga, Steven L. Salzberg, Sergey Koren, Justin M. Zook, Adam M. Phillippy
A Complete Diploid Human Genome Benchmark For Personalized Genomics, Nancy F. Hansen, Nathan Dwarshuis, Hyun Joo Ji, Arang Rhie, Hailey Loucks, Glennis A. Logsdon, Mitchell R. Vallger, Jessica M. Storer, Juhyun Kim, Eleni Adam, Nicolas Alternose, Dmitry Antipov, Mobin Asri, Sofia Barreira, Stephanie C. Bohaczuk, Andrey V. Bzikadze, Sara A. Carioscia, Andrew Carroll, Kuan-Hao Chao, Yanan Chu, Arun Das, Peter Ebert, Adam English, Mark Fleharty, Laura E. Fleming, Giulio Formenti, Andrea Guarracino, Gabrielle A. Hartley, Katharine Jenike, Jenna Kalleberg, Yu Kang, Robert King, Josipa Lipovac, Mira Mastoras, Matthew W. Mitchell, Shloka Negi, Nathan D. Olson, Keisuke K. Oshima, Luis F. Paulin, Brandon D. Pickett, David Porubsky, Jane Ranchalis, Desh Ranjan, Mikko Rautiainen, Harold Riethman, Robert D. Schnabel, Fritz J. Sedlazeck, Kishwar Shafin, Mile Sikic, Steven J. Solar, Alexander P. Sweeten, Winston Timp, Justin Wagner, Dongahn Yoo, Ying Zhou, Erik Garrison, Evan E. Eichler, Michaeel C. Schatz, Andrew B. Stergachis, Rachel J. O'Neill, Karen H. Miga, Steven L. Salzberg, Sergey Koren, Justin M. Zook, Adam M. Phillippy
School of Medical Diagnostics & Translational Sciences Publications
Human genome sequencing typically relies on mapping reads to a reference genome to call variants, but this approach introduces technical biases, excluding duplicated and structurally polymorphic regions of the genome. To overcome this, we present a telomere-to-telomere genome benchmark with near-perfect accuracy across 99.4% of the diploid HG002 genome. This benchmark adds 701.4 Mb of autosomal sequence and both sex chromosomes (216.8 Mb), which were absent from prior benchmarks. We annotated genes and repeats on both haplotypes, including 19,956 protein-coding genes on the maternal haplotype and 19,190 on the paternal haplotype, and developed new methods to measure the accuracy of …
Explainable Convolutional Neural Network Model Provides An Alternative Genome-Wide Association Perspective On Mutations In Sars-Cov-2, Parisa C. Hatami, Richard Annan, Luis Miranda, Jane L. Gorman, Mengjun Xie, Letu Qingge, Hong Qin
Explainable Convolutional Neural Network Model Provides An Alternative Genome-Wide Association Perspective On Mutations In Sars-Cov-2, Parisa C. Hatami, Richard Annan, Luis Miranda, Jane L. Gorman, Mengjun Xie, Letu Qingge, Hong Qin
Computer Science Faculty Publications
Identifying informative genomic features in SARS-CoV-2 can help clarify patterns of viral evolution. In this study, we developed an explainable convolutional neural network (CNN) model to classify SARS-CoV-2 genomic sequences into the WHO-designated Variants of Concern (VOCs), Alpha, Beta, Gamma, Delta, and Omicron. Using a balanced dataset of genomes, the classification CNN achieved 99.96% accuracy on the held-out test set. To interpret the model’s predictions, we applied SHapley Additive exPlanations (SHAP) to estimate the contribution of each nucleotide position to VOC-label prediction and compared aggregated attributions with a chi-square GWAS baseline applied to the same categorical labels. SHAP prioritized several …
Organism-Specific Sequence Motifs Link Ribosomal Rnas To Brain Disorders, Isidore Rigoutsos, Stepan Nersisyan, Eric Londin, Iliza Nazeraj, Bonnie Dong, Anastasios Vourekas, Phillipe Loher
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
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 …
Picalm Alzheimer’S Risk Allele Causes Aberrant Lipid Droplets In Microglia, Alena Kozlova, Siwei Zhang, Ari Sudwarts, Hanwen Zhang, Stanislau Smirnou, Seul Kee Byeon, Christina Thapa, Xiaotong Sun, Kimberley Stephenson, Xiaojie Zhao, Brendan Jamison, Moorthi Ponnusamy, Xin He, Julie A Schneider, Akhilesh Pandey, David A Bennett, Zhiping P Pang, Alan R Sanders, Hugo J Bellen, Gopal Thinakaran, Jubao Duan
Picalm Alzheimer’S Risk Allele Causes Aberrant Lipid Droplets In Microglia, Alena Kozlova, Siwei Zhang, Ari Sudwarts, Hanwen Zhang, Stanislau Smirnou, Seul Kee Byeon, Christina Thapa, Xiaotong Sun, Kimberley Stephenson, Xiaojie Zhao, Brendan Jamison, Moorthi Ponnusamy, Xin He, Julie A Schneider, Akhilesh Pandey, David A Bennett, Zhiping P Pang, Alan R Sanders, Hugo J Bellen, Gopal Thinakaran, Jubao Duan
Faculty, Staff and Students Publications
Despite genome-wide association studies (GWAS) of late-onset Alzheimer’s disease (LOAD) having identified many genetic risk loci1–3, the underlying disease mechanisms remain largely unclear. Determining causal disease variants and their LOAD-relevant cellular phenotypes has been a challenge. Here, using our approach for identifying functional GWAS risk variants showing allele-specific open chromatin, we systematically identified putative causal LOAD-risk variants in human induced pluripotent stem (iPS)-cell-derived neurons, astrocytes and microglia, and linked a PICALM LOAD-risk allele to a microglial-specific role of PICALM in lipid droplet (LD) accumulation. Allele-specific open-chromatin mapping revealed functional risk variants for 26 LOAD-risk loci, mostly …
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
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 …
Development Of Emerin Mrna Lipid Nanoparticles To Rescue Myogenic Differentiation., Nicholas Marano, Liza Elif Guner, Rachel S Riley, James M Holaska
Development Of Emerin Mrna Lipid Nanoparticles To Rescue Myogenic Differentiation., Nicholas Marano, Liza Elif Guner, Rachel S Riley, James M Holaska
Rowan-Virtua School of Osteopathic Medicine Departmental Research
Emery-Dreifuss muscular dystrophy 1 (EDMD1) arises from mutations in EMD. Most EDMD1 patients lack detectable emerin expression. They experience symptoms such as skeletal muscle wasting, joint contractures, and cardiac conduction defects. Currently, physicians rely on treating patient symptoms without addressing the underlying cause-lack of functional emerin protein. Thus, there is a need for therapeutic approaches that restore emerin protein expression to improve patient outcomes. One way would be to deliver emerin mRNA or protein directly to affected tissues to restore tissue homeostasis. Here, we evaluated the utility of lipid nanoparticles (LNPs) to deliver emerin mRNA to diseased cells. LNPs …
Non-Isolated Tetralogy Of Fallot (Tof+): Exome Sequencing Efficacy And Phenotypic Expansions, Julia Volpi, Xiaonan Zhao, Nichole Owen, Tia Evans, Muriel Holder-Espinasse, Nayana Lahiri, Eleanor Sherlock, Gemma Poke, Jeroen Breckpot, Koen Devriendt, Bjorn Cools, Alfredo Brusco, Giovanni Battista Ferrero, Enrico Grosso, Pradeep Vasudevan, Sara Loddo, Antonio Novelli, Maria Cristina Digilio, Aafke Engwerda, Marrit Hitzert, Alison Male, Lucy Bownass, Ruth Newbury-Ecob, Zosia Miedzybrodzka, Ruth Armstrong, Sally Ann Lynch, Gunnar Houge, Shiyi Xiong, Seema R Lalani, Jill A Rosenfeld, Pamela N Luna, Chad A Shaw, Daryl A Scott
Non-Isolated Tetralogy Of Fallot (Tof+): Exome Sequencing Efficacy And Phenotypic Expansions, Julia Volpi, Xiaonan Zhao, Nichole Owen, Tia Evans, Muriel Holder-Espinasse, Nayana Lahiri, Eleanor Sherlock, Gemma Poke, Jeroen Breckpot, Koen Devriendt, Bjorn Cools, Alfredo Brusco, Giovanni Battista Ferrero, Enrico Grosso, Pradeep Vasudevan, Sara Loddo, Antonio Novelli, Maria Cristina Digilio, Aafke Engwerda, Marrit Hitzert, Alison Male, Lucy Bownass, Ruth Newbury-Ecob, Zosia Miedzybrodzka, Ruth Armstrong, Sally Ann Lynch, Gunnar Houge, Shiyi Xiong, Seema R Lalani, Jill A Rosenfeld, Pamela N Luna, Chad A Shaw, Daryl A Scott
Faculty, Staff and Students Publications
Tetralogy of Fallot (TOF) is the most common cyanotic congenital heart defect (CHD). TOF may present in isolation or in conjunction with one or more non-cardiac congenital anomalies or neurodevelopmental disorders (TOF+). Uncertainty regarding the efficacy of various genetic testing strategies, and an incomplete understanding of the genetic causes of TOF+, may lead to hesitancy in recommending genetic testing, particularly, clinical exome sequencing (cES). Here, we analyzed cES data from 131 individuals with TOF+. A definitive or probable diagnosis was made for 31 individuals, yielding a diagnostic rate of 23.6% (31/131). One individual received three diagnoses. Commercially available CHD panels …
Quantile Index Predictors Using R Package Hyper.Gam, Tingting Zhan, Misung Yi, Inna Chervoneva
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
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
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
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. …
Functional Protein Biomarkers Based On Distributions Of Expression Levels In Single-Cell Imaging Data, Misung Yi, Tingting Zhan, Hallgeir Rui, Inna Chervoneva
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 …
Genomic And Phenotypic Correlates Of Mosaic Loss Of Chromosome Y In Blood, Yasminka A Jakubek, Xiaolong Ma, Adrienne M Stilp, Fulong Yu, Jason Bacon, Justin W Wong, Francois Aguet, Kristin Ardlie, Donna K Arnett, Kathleen Barnes, Joshua C Bis, Tom Blackwell, Lewis C Becker, Eric Boerwinkle, Russell P Bowler, Matthew J Budoff, April P Carson, Jiawen Chen, Michael H Cho, Josef Coresh, Nancy J Cox, Paul S De Vries, Dawn L Demeo, David W Fardo, Myriam Fornage, Xiuqing Guo, Michael E Hall, Nancy Heard-Costa, Bertha Hidalgo, Marguerite Ryan Irvin, Andrew D Johnson, Eric Jorgenson, Eimear E Kenny, Michael D Kessler, Daniel Levy, Yun Li, Joao A C Lima, Yongmei Liu, Adam E Locke, Ruth J F Loos, Mitchell J Machiela, Rasika A Mathias, Braxton D Mitchell, Joanne M Murabito, Josyf C Mychaleckyj, Kari E North, Peter Orchard, Stephen C J Parker, Yash Pershad, Patricia A Peyser, Katherine A Pratte, Bruce M Psaty, Laura M Raffield, Susan Redline, Stephen S Rich, Jerome I Rotter, Sanjiv J Shah, Jennifer A Smith, Aaron P Smith, Albert Smith, Margaret A Taub, Hemant K Tiwari, Russell Tracy, Bjoernar Tuftin, Alexander G Bick, Vijay G Sankaran, Alexander P Reiner, Paul Scheet, Paul L Auer
Genomic And Phenotypic Correlates Of Mosaic Loss Of Chromosome Y In Blood, Yasminka A Jakubek, Xiaolong Ma, Adrienne M Stilp, Fulong Yu, Jason Bacon, Justin W Wong, Francois Aguet, Kristin Ardlie, Donna K Arnett, Kathleen Barnes, Joshua C Bis, Tom Blackwell, Lewis C Becker, Eric Boerwinkle, Russell P Bowler, Matthew J Budoff, April P Carson, Jiawen Chen, Michael H Cho, Josef Coresh, Nancy J Cox, Paul S De Vries, Dawn L Demeo, David W Fardo, Myriam Fornage, Xiuqing Guo, Michael E Hall, Nancy Heard-Costa, Bertha Hidalgo, Marguerite Ryan Irvin, Andrew D Johnson, Eric Jorgenson, Eimear E Kenny, Michael D Kessler, Daniel Levy, Yun Li, Joao A C Lima, Yongmei Liu, Adam E Locke, Ruth J F Loos, Mitchell J Machiela, Rasika A Mathias, Braxton D Mitchell, Joanne M Murabito, Josyf C Mychaleckyj, Kari E North, Peter Orchard, Stephen C J Parker, Yash Pershad, Patricia A Peyser, Katherine A Pratte, Bruce M Psaty, Laura M Raffield, Susan Redline, Stephen S Rich, Jerome I Rotter, Sanjiv J Shah, Jennifer A Smith, Aaron P Smith, Albert Smith, Margaret A Taub, Hemant K Tiwari, Russell Tracy, Bjoernar Tuftin, Alexander G Bick, Vijay G Sankaran, Alexander P Reiner, Paul Scheet, Paul L Auer
Faculty, Staff and Student Publications
Mosaic loss of Y (mLOY) is the most common somatic chromosomal alteration detected in human blood. The presence of mLOY is associated with altered blood cell counts and increased risk of Alzheimer disease, solid tumors, and other age-related diseases. We sought to gain a better understanding of genetic drivers and associated phenotypes of mLOY through analyses of whole-genome sequencing (WGS) of a large set of genetically diverse males from the Trans-Omics for Precision Medicine (TOPMed) program. We show that haplotype-based calling methods can be used with WGS data to successfully identify mLOY events. This approach enabled us to identify differences …
Extracellular Vesicles Released By All Patients Contain Hne-Adducted Proteins: Implications Of Collateral Damage., Jenni Ho, Suriyan Sukati, Tamara Taylor, Sherry Carter, Brittany Fuller, Amy Marmo, Caryn Sorge, John D'Orazio, D Allan Butterfield, Subbarao Bondada, Heidi Weiss, Daret K St Clair, Luksana Chaiswing
Extracellular Vesicles Released By All Patients Contain Hne-Adducted Proteins: Implications Of Collateral Damage., Jenni Ho, Suriyan Sukati, Tamara Taylor, Sherry Carter, Brittany Fuller, Amy Marmo, Caryn Sorge, John D'Orazio, D Allan Butterfield, Subbarao Bondada, Heidi Weiss, Daret K St Clair, Luksana Chaiswing
Microbiology, Immunology, and Molecular Genetics Faculty Publications
Off-target neuronal injury is a serious side-effect observed in cancer survivors. It has previously been shown that pediatric acute lymphoblastic leukemia (ALL) survivors have a decline in neurocognition compared to healthy age-matched counterparts. Elevated oxidative stress has been documented to be a mediator in off-target tissue damage in cancer survivors. Early detection of oxidative stress markers may provide an opportunity to prevent off-target tissue damage. Extracellular vesicles (EVs) have surfaced as a potential diagnostic tool due to molecular cargo they contain. We investigated the potential for EVs to be a sensitive indicator of oxidative stress and off-target tissue damage by …
Protein Translation Rates Are Negatively Correlated With Lifespan In Inbred Drosophila Strains, Harper S Kim, Madison M Hardiman, Andrew M Pickering
Protein Translation Rates Are Negatively Correlated With Lifespan In Inbred Drosophila Strains, Harper S Kim, Madison M Hardiman, Andrew M Pickering
Faculty, Staff and Student Publications
No abstract provided.
Mga-Related Syndrome: A Proposed Novel Disorder, Bobbi Mcgivern, Michelle M Morrow, Erin Torti, Kirsty Mcwalter, Ingrid M Wentzensen, Kristin G Monaghan, Amanda Gerard, Laurie Robak, David Chitayat, Claire Botsford, Sarah Jurgensmeyer, Peter Leahy, Paul Kruszka
Mga-Related Syndrome: A Proposed Novel Disorder, Bobbi Mcgivern, Michelle M Morrow, Erin Torti, Kirsty Mcwalter, Ingrid M Wentzensen, Kristin G Monaghan, Amanda Gerard, Laurie Robak, David Chitayat, Claire Botsford, Sarah Jurgensmeyer, Peter Leahy, Paul Kruszka
Faculty, Staff and Students Publications
MGA (OMIM: 616061) encodes a dual-specificity transcription factor that regulates the expression of Max-network and T-box family target genes, important in embryogenesis. Previous studies have linked MGA to various phenotypes, including neurodevelopmental disorders, congenital heart disease, and early-onset Parkinson's disease. Here, we describe the clinical phenotype of individuals with de novo, heterozygous predicted loss-of-function variants in MGA, suggesting a unique disorder involving both neurodevelopmental and congenital anomalies. In addition to developmental delays, certain congenital anomalies were present in all individuals in this cohort including cardiac anomalies, male genital malformations, and craniofacial dysmorphisms. Additional findings seen in multiple individuals in this …
Small Variant Benchmark From A Complete Assembly Of X And Y Chromosomes, Justin Wagner, Nathan D Olson, Jennifer Mcdaniel, Lindsay Harris, Brendan J Pinto, David Jáspez, Adrián Muñoz-Barrera, Luis A Rubio-Rodríguez, José M Lorenzo-Salazar, Carlos Flores, Sayed Mohammad Ebrahim Sahraeian, Giuseppe Narzisi, Marta Byrska-Bishop, Uday S Evani, Chunlin Xiao, Juniper A Lake, Peter Fontana, Craig Greenberg, Donald Freed, Mohammed Faizal Eeman Mootor, Paul C Boutros, Lisa Murray, Kishwar Shafin, Andrew Carroll, Fritz J Sedlazeck, Melissa Wilson, Justin M Zook
Small Variant Benchmark From A Complete Assembly Of X And Y Chromosomes, Justin Wagner, Nathan D Olson, Jennifer Mcdaniel, Lindsay Harris, Brendan J Pinto, David Jáspez, Adrián Muñoz-Barrera, Luis A Rubio-Rodríguez, José M Lorenzo-Salazar, Carlos Flores, Sayed Mohammad Ebrahim Sahraeian, Giuseppe Narzisi, Marta Byrska-Bishop, Uday S Evani, Chunlin Xiao, Juniper A Lake, Peter Fontana, Craig Greenberg, Donald Freed, Mohammed Faizal Eeman Mootor, Paul C Boutros, Lisa Murray, Kishwar Shafin, Andrew Carroll, Fritz J Sedlazeck, Melissa Wilson, Justin M Zook
Faculty, Staff and Students Publications
The sex chromosomes contain complex, important genes impacting medical phenotypes, but differ from the autosomes in their ploidy and large repetitive regions. To enable technology developers along with research and clinical laboratories to evaluate variant detection on male sex chromosomes X and Y, we create a small variant benchmark set with 111,725 variants for the Genome in a Bottle HG002 reference material. We develop an active evaluation approach to demonstrate the benchmark set reliably identifies errors in challenging genomic regions and across short and long read callsets. We show how complete assemblies can expand benchmarks to difficult regions, but highlight …
Plural Molecular And Cellular Mechanisms Of Pore Domain, Timothy J Abreo, Emma C Thompson, Anuraag Madabushi, Kristen L Park, Heun Soh, Nissi Varghese, Carlos G Vanoye, Kristen Springer, Jim Johnson, Scotty Sims, Zhigang Ji, Ana G Chavez, Miranda J Jankovic, Bereket Habte, Aamir R Zuberi, Cathleen M Lutz, Zhao Wang, Vaishnav Krishnan, Lisa Dudler, Stephanie Einsele-Scholz, Jeffrey L Noebels, Alfred L George, Atul Maheshwari, Anastasios Tzingounis, Edward C Cooper
Plural Molecular And Cellular Mechanisms Of Pore Domain, Timothy J Abreo, Emma C Thompson, Anuraag Madabushi, Kristen L Park, Heun Soh, Nissi Varghese, Carlos G Vanoye, Kristen Springer, Jim Johnson, Scotty Sims, Zhigang Ji, Ana G Chavez, Miranda J Jankovic, Bereket Habte, Aamir R Zuberi, Cathleen M Lutz, Zhao Wang, Vaishnav Krishnan, Lisa Dudler, Stephanie Einsele-Scholz, Jeffrey L Noebels, Alfred L George, Atul Maheshwari, Anastasios Tzingounis, Edward C Cooper
Faculty, Staff and Students Publications
KCNQ2 variants in children with neurodevelopmental impairment are difficult to assess due to their heterogeneity and unclear pathogenic mechanisms. We describe a child with neonatal-onset epilepsy, developmental impairment of intermediate severity, and KCNQ2 G256W heterozygosity. Analyzing prior KCNQ2 channel cryoelectron microscopy models revealed G256 as a node of an arch-shaped non-covalent bond network linking S5, the pore turret, and the ion path. Co-expression with G256W dominantly suppressed conduction by wild-type subunits in heterologous cells. Ezogabine partly reversed this suppression. Kcnq2G256W/+ mice have epilepsy leading to premature deaths. Hippocampal CA1 pyramidal cells from G256W/+ brain slices showed hyperexcitability. G256W/+ pyramidal …