Medical Genetics Commons^™

Developing A Targeted Ultrasound-Responsive Nanobubble-Based Gene Delivery System For Osteoporosis Treatment, Angela Shar

Honors Undergraduate Theses

The overall goal of this project was to develop, optimize, and test an ultrasound-responsive targeted nanobubble for delivering osteoporosis-related silencing genes such as Cathepsin K small interfering RNA (CTSK siRNA) for osteoporosis treatment. The nanobubbles were synthesized using an in situ sonochemical method. The nanobubble (NB) is composed of a gas core made from perfluorocarbon, stabilized with albumin, encapsulated with CTSK siRNA, and embedded with alendronate (AL) for bone targeting (CTSK siRNA-NB-AL). Following its development, the responsiveness of CTSK siRNA-NB-AL to a therapeutic ultrasound probe was examined. The results of biocompatibility tests with human bone marrow-derived mesenchymal stem cells proved …

The Role Of Ms-818 In Altering Age-Related Characteristics Of An In Vitro Model Of Senescence In Neural Stem Cells, Sandeep Sreerama

Honors Undergraduate Theses

Aging of the brain is the leading risk factor for neurodegenerative diseases and brain cancers and has deleterious effects on brain functions. It follows that attempts to reverse the aging process may be therapeutically valuable. Neural stem cells (NSC) have been shown to play a critical role in maintaining brain functions, and their number is severely decreased with age. The development of senescence-like characteristics and declining functions in NSCs have been proposed to be responsible for brain aging and tumorigenesis. MS-818 is a pyrrolopyrimidine that has been shown to increase the NSC population and reverse the decline of behavioral function …

Epigenetic States Regulate Tumor Aggressiveness And Response To Targeted Therapies In Lung Adenocarcinoma, Fan Chen

Theses and Dissertations--Toxicology and Cancer Biology

Non-small cell lung cancer (NSCLC) is the leading cause of cancer-related death worldwide, 85% of which are lung adenocarcinomas (LUAD). Although molecular studies of NSCLC identified targetable mutations of some oncogenes including BRAF, EGFR and ALK, no targeted therapies exist for most cases. Cancer epigenetics is the study of epigenetic modifications, including histone modifications, that control gene expression in cancer. Recent advances have revealed numerous epigenetic abnormalities in human cancers, and targeting epigenetic regulators could be effective at reversing dysregulated epigenetic programs or driving sensitivity to other targeted therapies.

Inhibitors of the histone methyltransferase EZH2 have recently been approved as …

Genomic Education – Bench To Bedside: A Novel Approach To Teaching Genetic Diagnosis, J. Keith Williams, Michael M. Segal, Lynn K. Feldman

Internet Journal of Allied Health Sciences and Practice

Problem: Teaching genetic diagnosis is required in all medical schools and physician assistant programs. However, with thousands of relevant findings and thousands more rare diseases, lectures and narrative resources are inadequate for the task. Whatever information that is taught is easily forgotten and does not carry over into the clinic. Many rare disease patients suffer through “diagnostic odysseys” (3 to 30 years to correct diagnosis). Approach: We used a commercially available diagnostic decision support system (DDSS) that encompasses all Mendelian disorders with known genes, together with other conditions in their differential diagnosis, and a case-based educational approach to teach diagnostic …

A Comparison Of Exhaustive And Non-Lattice-Based Methods For Auditing Hierarchical Relations In Gene Ontology, Rashmie Abeysinghe, Fengbo Zheng, Licong Cui

Faculty, Staff and Student Publications

Uncovering and fixing errors in biomedical terminologies is essential so that they provide accurate knowledge to downstream applications that rely on them. Non-lattice-based methods have been applied to identify various kinds of inconsistencies in different biomedical terminologies. In previous work, we have introduced two inference-based approaches that were applied in an exhaustive manner to audit hierarchical relations in the Gene Ontology: (1) Lexical-based inference framework, and (2) Subsumption-based sub-term inference framework. However, it is unclear how effective these exhaustive approaches perform compared with their corresponding non-lattice-based approaches. Therefore, in this paper, we implement the non-lattice versions of these two exhaustive …

The Role Of Vascular Endothelial Growth Factor In Leukemia Trafficking, Shaw Powell

Theses and Dissertations--Medical Sciences

Vascular endothelial growth factor (VEGF) is a signaling protein involved in inducing and regulating endothelial cell proliferation and function (Duffy et al 2000). VEGF is also involved in cancer progression, as it induces vascular permeability and promotes angiogenesis to tumor laden areas, giving cancer cells critical oxygen and nutrients (Hoeppner et al.,2012. Studies indicate VEGF prevents lymphoblast apoptosis, which may contribute to leukemia formation and enable the proliferation of leukemic cells (Duffy et al 2000). Ongoing research seeks to further examine VEGF in leukemia, using a rag2:GFP-Myc expressing transgenic zebrafish as the animal model of T-cell Acute Lymphoblastic Leukemia (T-ALL). …

Heritability Of Ocular Traits In Hispanics, Aaron T. Gomez, Gladys E. Maestre, Jesus D. Melgarejo, Vincent P. Diego, Nicholas B. Blackburn, Juan B. Yepez, Michele Petitto, Felipe A. Murati, Rosa V. Pirela, Carlos A. Chavez, Winston Lee, Lama A. Al-Aswad, Matthew P. Johnson, Joseph H. Lee, John Blangero

MEDI 9331 Scholarly Activities Clinical Years

Purpose: The burden of glaucoma disease among Hispanics is significantly higher than in their white counterparts. It remains unclear to what extent these differences are determined by genetic factors in Hispanics. We therefore examined a highly inbred family population-based cohort in Venezuela to estimate the proportion of genetic contribution of ocular traits relevant to glaucoma disease.

Methods: A subset of 67 participants ≥40y from the Maracaibo Aging Study (MAS) with family pedigree were randomly included. The papillary retinal nerve fiber layer (RNFL) and macular thickness were measured with Spectralis Domain-OCT. Heritability analyses (h², expressed as %) …

Fgdb: Database Of Follicle Stimulating Hormone Glycans, Sushil Kumar Shakyawar, Sanjit Pandey, David J. Harvey, George Bousfield, Chittibabu Guda

Journal Articles: Genetics, Cell Biology & Anatomy

Glycomics, the study of the entire complement of sugars of an organism has received significant attention in the recent past due to the advances made in high throughput mass spectrometry technologies. These analytical advancements have facilitated the characterization of glycans associated with the follicle-stimulating hormones (FSH), which play a central role in the human reproductive system both in males and females utilizing regulating gonadal (testicular and ovarian) functions. The irregularities in FSH activity are also directly linked with osteoporosis. The glycoanalytical studies have been tremendously helpful in understanding the biological roles of FSH. Subsequently, the increasing number of characterized FSH …

Open Problems In Extracellular Rna Data Analysis: Insights From An Ercc Online Workshop, Roger P Alexander, Robert R Kitchen, Juan Pablo Tosar, Matthew Roth, Pieter Mestdagh, Klaas E A Max, Joel Rozowsky, Karolina Elżbieta Kaczor-Urbanowicz, Justin Chang, Leonora Balaj, Bojan Losic, Eric L Van Nostrand, Emily Laplante, Bogdan Mateescu, Brian S White, Rongshan Yu, Aleksander Milosavljevic, Gustavo Stolovitzky, Ryan M Spengler

Faculty, Staff and Students Publications

We now know RNA can survive the harsh environment of biofluids when encapsulated in vesicles or by associating with lipoproteins or RNA binding proteins. These extracellular RNA (exRNA) play a role in intercellular signaling, serve as biomarkers of disease, and form the basis of new strategies for disease treatment. The Extracellular RNA Communication Consortium (ERCC) hosted a two-day online workshop (April 19–20, 2021) on the unique challenges of exRNA data analysis. The goal was to foster an open dialog about best practices and discuss open problems in the field, focusing initially on small exRNA sequencing data. Video recordings of workshop …

Carving The Path To Allogeneic Car T Cell Therapy In Acute Myeloid Leukemia, Oren Pasvolsky, May Daher, Gheath Alatrash, David Marin, Naval Daver, Farhad Ravandi, Katy Rezvani, Elizabeth Shpall, Partow Kebriaei

Faculty, Staff and Student Publications

Despite advances in the understanding of the genetic landscape of acute myeloid leukemia (AML) and the addition of targeted biological and epigenetic therapies to the available armamentarium, achieving long-term disease-free survival remains an unmet need. Building on growing knowledge of the interactions between leukemic cells and their bone marrow microenvironment, strategies to battle AML by immunotherapy are under investigation. In the current review we describe the advances in immunotherapy for AML, with a focus on chimeric antigen receptor (CAR) T cell therapy. CARs constitute powerful immunologic modalities, with proven clinical success in B-Cell malignancies. We discuss the challenges and possible …

Deep Learning For Automated Analysis Of Cellular And Extracellular Components Of The Foreign Body Response In Multiphoton Microscopy Images, Mattia Sarti, Maria Parlani, Luis Diaz-Gomez, Antonios G Mikos, Pietro Cerveri, Stefano Casarin, Eleonora Dondossola

Faculty, Staff and Student Publications

The Foreign body response (FBR) is a major unresolved challenge that compromises medical implant integration and function by inflammation and fibrotic encapsulation. Mice implanted with polymeric scaffolds coupled to intravital non-linear multiphoton microscopy acquisition enable multiparametric, longitudinal investigation of the FBR evolution and interference strategies. However, follow-up analyses based on visual localization and manual segmentation are extremely time-consuming, subject to human error, and do not allow for automated parameter extraction. We developed an integrated computational pipeline based on an innovative and versatile variant of the U-Net neural network to segment and quantify cellular and extracellular structures of interest, which is …

A Novel Dimensionality Reduction Approach To Improve Microarray Data Classification, Mohammed Hasim, Ismail El Mouden, Mounir Ouzir, Hicham Moutachaouik, Mustapha Hain

Department of Medicine Faculty Publications

Cancer tumor prediction and diagnosis at an early stage has become a necessity in cancer research, as it provides an increase in the treatment success chances. Recently, DNA microarray technology became a powerful tool for cancer identification, that can analyze the expression level of a different and huge number of genes simultaneously. In microarray data, the large genes number versus a few records may affect the prediction performance. In order to handle this "curse of dimensionality” constraint of microarray dataset while improving the cancer identification performance, a dimensional reduction phase is necessary. In this paper, we proposed a framework that …

Cost Efficacy Of Rapid Whole Genome Sequencing In The Pediatric Intensive Care Unit, Erica Sanford Kobayashi, Bryce Waldman, Branden M Engorn, Katherine Perofsky, Erika Allred, Benjamin Briggs, Chelsea Gatcliffe, Nanda Ramchandar, Jeffrey J Gold, Ami Doshi, Elizabeth G Ingulli, Courtney D Thornburg, Wendy Benson, Lauge Farnaes, Shimul Chowdhury, Seema Rego, Charlotte Hobbs, Stephen F Kingsmore, David P Dimmock, Nicole G Coufal

Faculty, Staff and Student Publications

The diagnostic and clinical utility of rapid whole genome sequencing (rWGS) for critically ill children in the intensive care unit (ICU) has been substantiated by multiple studies, but comprehensive cost-effectiveness evaluation of rWGS in the ICU outside of the neonatal age group is lacking. In this study, we examined cost data retrospectively for a cohort of 38 children in a regional pediatric ICU (PICU) who received rWGS. We identified seven of 17 patients who received molecular diagnoses by rWGS and had resultant changes in clinical management with sufficient clarity to permit cost and quality adjusted life years (QALY) modeling. Cost …

Gene Selection For Cancer Classification: A New Hybrid Filter-C5.0 Approach For Breast Cancer Risk Prediction, Mohammed Hamim, Ismail El Moudden, Hicham Moutachaouik, Mustapha Hain

Department of Medicine Faculty Publications

Despite the significant progress made in data mining technologies in recent years, breast cancer risk prediction and diagnosis at an early stage using DNA microarray technology still a real challenging task. This challenge comes especially from the high-dimensionality in gene expression data, i.e., an enormous number of genes versus a few tens of subjects (samples). To overcome this problem of data imbalance, a gene selection phase becomes a crucial step for gene expression data analysis. This study proposes a new Decision Tree model-based attributes (genes) selection strategy, which incorporates two stages: fisher-score-based filter technique and the gene selection ability of …

Enhancing Glucose Metabolism Via Gluconeogenesis Is Therapeutic In A Zebrafish Model Of Dravet Syndrome, Rajeswari Banerji, Christopher Huynh, Francisco Figueroa, Matthew T Dinday, Scott C Baraban, Manisha Patel

Faculty, Staff and Students Publications

Energy-producing pathways are novel therapeutic targets for the treatment of neurodevelopmental disorders. Here, we focussed on correcting metabolic defects in a catastrophic paediatric epilepsy, Dravet syndrome which is caused by mutations in sodium channel NaV1.1 gene, SCN1A. We utilized a translatable zebrafish model of Dravet syndrome (scn1lab) which exhibits key characteristics of patients with Dravet syndrome and shows metabolic deficits accompanied by down-regulation of gluconeogenesis genes, pck1 and pck2. Using a metabolism-based small library screen, we identified compounds that increased gluconeogenesis via up-regulation of pck1 gene expression in scn1lab larvae. Treatment with PK11195, a pck1 activator …

Long Noncoding Rnas And Their Therapeutic Promise In Diabetic Nephropathy, Juan D Coellar, Jianyin Long, Farhad R Danesh

Faculty, Staff and Students Publications

Recent advances in large-scale RNA sequencing and genome-wide profiling projects have unraveled a heterogeneous group of RNAs, collectively known as long noncoding RNAs (lncRNAs), which play central roles in many diverse biological processes. Importantly, an association between aberrant expression of lncRNAs and diverse human pathologies has been reported, including in a variety of kidney diseases. These observations have raised the possibility that lncRNAs may represent unexploited potential therapeutic targets for kidney diseases. Several important questions regarding the functionality of lncRNAs and their impact in kidney diseases, however, remain to be carefully addressed. Here, we provide an overview of the main …

Novel Mutations In The Gtpbp3 Gene For Mitochondrial Disease And Characteristics Of Related Phenotypic Spectrum: The First Three Cases From China, Hui-Ming Yan, Zhi-Mei Liu, Bei Cao, Victor Wei Zhang, Yi-Duo He, Zheng-Jun Jia, Hui Xi, Jing Liu, Fang Fang, Hua Wang

Faculty, Staff and Students Publications

Combined Oxidative Phosphorylation Deficiency 23 (COXPD23) caused by mutations in GTPBP3 gene is a rare mitochondrial disease, and this disorder identified from the Chinese population has not been described thus far. Here, we report a case series of three patients with COXPD23 caused by GTPBP3 mutations, from a severe to a mild phenotype. The main clinical features of these patients include lactic acidosis, myocardial damage, and neurologic symptoms. Whole genome sequencing and targeted panels of candidate human mitochondrial genome revealed that patient 1 was a compound heterozygote with novel mutations c.413C > T (p. A138V) and c.509_510del (p. E170Gfs∗42) in GTPBP3 …

Cerebellar Coordination Of Neuronal Communication In Cerebral Cortex, Samuel S Mcafee, Yu Liu, Roy V Sillitoe, Detlef H Heck

Duncan NRI Faculty and Staff Publications

Cognitive processes involve precisely coordinated neuronal communications between multiple cerebral cortical structures in a task specific manner. Rich new evidence now implicates the cerebellum in cognitive functions. There is general agreement that cerebellar cognitive function involves interactions between the cerebellum and cerebral cortical association areas. Traditional views assume reciprocal interactions between one cerebellar and one cerebral cortical site, via closed-loop connections. We offer evidence supporting a new perspective that assigns the cerebellum the role of a coordinator of communication. We propose that the cerebellum participates in cognitive function by modulating the coherence of neuronal oscillations to optimize communications between multiple …

Monopolar Gene Electrotransfer Enhances Plasmid Dna Delivery To Skin, Anna Bulysheva, Loree Heller, Michael Francis, Frency Varghese, Carly Boye, Richard Heller

Electrical & Computer Engineering Faculty Publications

A novel monopolar electroporation system and methodologies were developed for in vivo electroporation intended for potential clinical applications such as gene therapy. We hypothesized that an asymmetric anode/cathode electrode applicator geometry could produce favorable electric fields for electroporation, without the typical drawback associated with traditional needle and parallel plate geometries. Three monopolar electrode applicator prototypes were built and tested for gene delivery of reporter genes to the skin in a guinea pig model. Gene expression was evaluated in terms of kinetics over time and expression distribution within the treatment site. Different pulsing parameters, including pulse amplitude, pulse duration, and pulse …

A Novel Statistical Method For Interpreting The Pathogenicity Of Rare Variants, Jun Wang, Hehe Liu, Renae Elaine Bertrand, Alejandro Sarrion-Perdigones, Yezabel Gonzalez, Koen J T Venken, Rui Chen

Faculty, Staff and Students Publications

PURPOSE: To achieve the ultimate goal of personalized treatment of patients, accurate molecular diagnosis and precise interpretation of the impact of genetic variants on gene function is essential. With sequencing cost becoming increasingly affordable, the accurate distinguishing of benign from pathogenic variants becomes the major bottleneck. Although large normal population sequence databases have become a key resource in filtering benign variants, they are not effective at filtering extremely rare variants.

METHODS: To address this challenge, we developed a novel statistical test by combining sequencing data from a patient cohort with a normal control population database. By comparing the expected and …

Cornelia De Lange Syndrome Research From 1953 To 2020: A Bibliometric Analysis, Dr. Mirza Muhammad Naseer, Dr. Abu Waris

Library Philosophy and Practice (e-journal)

The present study was conducted to explore various aspects of Cornelia de Lange Syndrome (CdLS) research publications including annual scientific productivity, top contributing authors and their impact, top contributing countries and organizations, most relevant sources of publication, highly cited documents, and most frequently used words. Bibliometric methods were used to investigate these aspects of CdLS research publications. Results of the study disclosed that the annual scientific productivity of CdLS literature is increasing gradually with the passage of time. A. Selicorni contributed the highest number of publications (45) to CdLS literature while I. D. Krantz had the highest impact in the …

Identification Of Deep-Intronic Splice Mutations In A Large Cohort Of Patients With Inherited Retinal Diseases, Xinye Qian, Jun Wang, Meng Wang, Austin D Igelman, Kaylie D Jones, Yumei Li, Keqing Wang, Kerry E Goetz, David G Birch, Paul Yang, Mark E Pennesi, Rui Chen

Faculty, Staff and Students Publications

High throughput sequencing technologies have revolutionized the identification of mutations responsible for a diverse set of Mendelian disorders, including inherited retinal disorders (IRDs). However, the causal mutations remain elusive for a significant proportion of patients. This may be partially due to pathogenic mutations located in non-coding regions, which are largely missed by capture sequencing targeting the coding regions. The advent of whole-genome sequencing (WGS) allows us to systematically detect non-coding variations. However, the interpretation of these variations remains a significant bottleneck. In this study, we investigated the contribution of deep-intronic splice variants to IRDs. WGS was performed for a cohort …

Extracellular Vesicles Released By Human Retinal Pigment Epithelium Mediate Increased Polarised Secretion Of Drusen Proteins In Response To Amd Stressors, Miguel Flores-Bellver, Jason Mighty, Silvia Aparicio-Domingo, Kang V. Li, Cui Shi, Jing Zhou, Hannah Cobb, Patrick Mcgrath, German Michelis, Patricia Lenhart, Ganna Bilousova, Søren Heissel, Michael J. Rudy, Christina Coughlan, Andrew E. Goodspeed, S. Patricia Becerra, Stephen Redenti, M. Valeria Canto-Soler

Publications and Research

Age-related macular degeneration (AMD) is a leading cause of blindness worldwide. Drusen are key contributors to the etiology of AMD and the ability to modulate drusen biogenesis could lead to therapeutic strategies to slow or halt AMD progression. The mechanisms underlying drusen biogenesis, however, remain mostly unknown. Here we demonstrate that under homeostatic conditions extracellular vesicles (EVs) secreted by retinal pigment epithelium (RPE) cells are enriched in proteins associated with mechanisms involved in AMD pathophysiology, including oxidative stress, immune response, inflammation, complement system and drusen composition. Furthermore, we provide first evidence that drusen-associated proteins are released as cargo of extracellular …