Genetics and Genomics Commons^™

Metabolic Syndrome Beyond Diagnostic Criteria: Population-Scale Integrative Metabolomics Characterization, Marwa Talal

Theses and Dissertations

Background: Metabolic syndrome (MetS) is a complex cluster of interrelated metabolic abnormalities associated with elevated cardiometabolic risk. While diagnosis is based on well-established five clinical criteria, these may overlook early or atypical metabolic alterations. Large-scale metabolomic profiling offers an opportunity to identify biochemical signatures of MetS beyond diagnostic bias and to evaluate their relative importance across different presentations of the syndrome.

Methods: Data from 117,147 UK Biobank participants were analyzed in a cross-sectional design. High-throughput NMR quantified 75 circulating metabolites, for. Univariate analyses, MetS subtype stratification, and elastic net models with SHAP interpretation were applied to assess feature …

Bpa: Effects Of The "Plastic Era", Bianca G. Pietrangeli

Student Work

Infographic review of sources of BPA and its impacts on human health with a focus on osteoporosis.

Recurrence And Co-Occurrence Of Enhancer-Promoter Interactions Across Human Samples, Satvik Gunjala

Honors Undergraduate Theses

Experimental mapping of enhancer-promoter interactions (EPIs) is resource-intensive, and current computational prediction methods struggle with intrinsic genomic complexity and reliance on limited training data. To address this bottleneck and provide insights for improved computational methods, this study systematically analyzed chromatin contact datasets to investigate the recurrence and co-occurrence of enhancer-promoter interactions across human samples. Putative interactions were evaluated across two HiChIP datasets comprising 218 total samples and one Hi-C dataset comprising 266 samples to assess recurrence across samples and assess sequencing depth related to unique EPIs. Additionally, a preliminary item-based collaborative filtering recommender model was developed to assess co-occurrence patterns …

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 …

Ai-Powered Multi-Omics Integration For Predictive Modeling Of Genotype-Environment-Phenotype Relationships, You Wu

Dissertations, Theses, and Capstone Projects

This dissertation presents a series of machine learning frameworks for modeling genotype–environment–phenotype relationships through integrative predictive modeling of multi-omics data. The work addresses three major axes of biological complexity: modeling biological information transmission cross-levels from genes to proteins to phenotypes, predicting molecular features cross-scale from cells to tissues to organisms, and translating phenotypes cross-species from model systems to humans. Each proposed method also tackles key machine learning (ML) challenges in the biomedical domain, including data scarcity, domain shift, out-of-distribution (OOD) generalization, and hierarchical modeling. Specifically, this dissertation introduces five novel deep learning algorithms: MultiDCP predicts drug-induced transcriptomic and viability responses …

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 …

Topodino: Self-Supervised Topological Representation Learning For Neuronal Morphologies, Yasser Binbisher

Master's Theses

Neuronal cell types are categorized by transcriptomic identity, yet their morphological heterogeneity defies this classification. In response, researchers have adopted unsupervised graph representation learning as a tool to reveal morphological variation within single-class transcriptomic types. However, the complex geometry of neuronal morphology—especially long axons and dense dendrites—challenges graph neural networks, which struggle with message propagation across extended structures. To mitigate this, current approaches enforce sub-sampling on neuronal graphs and omit axons entirely, sacrificing critical biological features for computational efficiency. To overcome this trade-off, this thesis introduces TopoDINO, a self-supervised, topology-aware representation learning model designed to preserve the full hierarchical organization …

Elucidating The Multi-Omics Of Early-Onset Colorectal Cancer, Jumanah Alshenaifi

Dissertations and Theses (Open Access)

The incidence and mortality rates of sporadic early-onset colorectal cancer have increased in recent decades, but there is no clear etiological basis for this trend. EOCRC is commonly defined as colon and rectal cancers diagnosed before the age of 50 years. The rising incidence of EOCRC has made it the second most common cancer and the third leading cause of cancer death in this age group. The rising incidence of EOCRC is also documented internationally in more than 20 countries across different continents. Clinically, EOCRC has a distinct, more aggressive clinical profile than LOCRC. While approximately 15% of EOCRC cases …

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 …

Bone Marrow Transplantation Reverses Metabolic Alterations In Multiple Sulfatase Deficiency: A Case Series, Nishitha R Pillai, Ning Liu, Xiyuan Li, Xiqi Li, Rebecca Ahrens-Nicklas, Laura Adang, Julie B Eisengart, Grace Bronken, Ashish Gupta, Troy C Lund, Chester B Whitley, Sarah H Elsea, Paul J Orchard

Faculty, Staff and Students Publications

BACKGROUND: Multiple sulfatase deficiency (MSD) is an exceptionally rare neurodegenerative disorder due to the absence or deficiency of 17 known cellular sulfatases. The activation of all these cellular sulfatases is dependent on the presence of the formylglycine-generating enzyme, which is encoded by the SUMF1 gene. Disease-causing homozygous or compound heterozygous variants in SUMF1 result in MSD. Other than symptomatic treatment, no curative therapy exists as of yet for MSD. Eight out of these 17 sulfatases are primarily localized in the lysosome.

METHODS: Two siblings with attenuated MSD underwent hematopoietic cell transplantation (HCT), evaluating the possibility of lysosomal enzymatic cross-correction from …

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 …

Rpa And Rad27 Limit Templated And Inverted Insertions At Dna Breaks, Yang Yu, Xin Wang, Jordan Fox, Qian Li, Yang Yu, P J Hastings, Kaifu Chen, Grzegorz Ira

Faculty, Staff and Students Publications

Formation of templated insertions at DNA double-strand breaks (DSBs) is very common in cancer cells. The mechanisms and enzymes regulating these events are largely unknown. Here, we investigated templated insertions in yeast at DSBs using amplicon sequencing across a repaired locus. We document very short (most ∼5-34 bp), templated inverted duplications at DSBs. They are generated through a foldback mechanism that utilizes microhomologies adjacent to the DSB. Enzymatic requirements suggest a hybrid mechanism wherein one end requires Polδ-mediated synthesis while the other end is captured by nonhomologous end joining (NHEJ) or by alternative end joining (Alt-EJ). This process is exacerbated …

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 …

Atrx Silences Cartpt Expression In Osteoblastic Cells During Skeletal Development, Yi-Ting Chen, Ming-Ming Jiang, Carolina Leynes, Mary Adeyeye, Camilla F Majano, Barakat Ibrahim, Urszula Polak, George Hung, Zixue Jin, Denise G Lanza, Lan Liao, Brian Dawson, Yuqing Chen-Evenson, Oscar E Ruiz, Richard J Gibbons, Jason D Heaney, Yangjin Bae, Brendan Lee

Faculty, Staff and Students Publications

ATP-dependent chromatin remodeling protein ATRX is an essential regulator involved in maintenance of DNA structure and chromatin state and regulation of gene expression during development. ATRX was originally identified as the monogenic cause of X-linked α-thalassemia mental retardation (ATR-X) syndrome. Affected individuals display a variety of developmental abnormalities and skeletal deformities. Studies from others investigated the role of ATRX in skeletal development by tissue-specific Atrx knockout. However, the impact of ATRX during early skeletal development has not been examined. Using preosteoblast-specific Atrx conditional knockout mice, we observed increased trabecular bone mass and decreased osteoclast number in bone. In vitro coculture …

Meta-Ea: A Gene-Specific Combination Of Available Computational Tools For Predicting Missense Variant Effects, Panagiotis Katsonis, Olivier Lichtarge

Faculty, Staff and Students Publications

Computational methods for estimating missense variant impact suffer from inconsistent performance across genes, which poses a major challenge for their reliable use in clinical practice. While ensemble scores leverage multiple prediction methods to enhance consistency, the overrepresentation of certain genes in the training data can bias their outcomes. To address this critical limitation, we propose a gene-specific ensemble framework trained on reference computational annotations rather than on clinical or experimental data. Accordingly, we generate Meta-EA ensemble scores that achieve comparable performance to the top individual predicting method for each gene set. Incorporating the effects of splicing and the allele frequency …

A Bayesian Deep Segmentation Framework For Glioblastoma Tumor Segmentation Using Follow-Up Mris, Tanjida Kabir, Kang-Lin Hsieh, Luis Nunez, Yu-Chun Hsu, Juan C Rodriguez Quintero, Octavio Arevalo, Kangyi Zhao, Jay-Jiguang Zhu, Roy F Riascos, Mahboubeh Madadi, Xiaoqian Jiang, Shayan Shams

Faculty, Staff and Student Publications

Background: Glioblastoma (GBM) is the most common malignant brain tumor with an abysmal prognosis. Since complete tumor cell removal is impossible due to the infiltrative nature of GBM, accurate measurement is paramount for GBM assessment. Preoperative magnetic resonance images (MRIs) are crucial for initial diagnosis and surgical planning, while follow-up MRIs are vital for evaluating treatment response. The structural changes in the brain caused by surgical and therapeutic measures create significant differences between preoperative and follow-up MRIs. In clinical research, advanced deep learning models trained on preoperative MRIs are often applied to assess follow-up scans, but their effectiveness in this …

Enhancing Clinical Trial Matching In Molecular Diagnostics: Using Natural Language Processing And Clustering Approaches In Hematological Malignancies, Gillian Fanning

Theses and Dissertations

Clinical trial matching is a critical component of personalized medicine, particularly in the management of hematologic malignancies. At Virginia Commonwealth University (VCU) Health, the Molecular Diagnostics (MDX) Lab produces somatic variant reports and recommends clinical trials based on the presence of clinically significant mutations. However, the current manual trial recommendation process is time-intensive and lacks scalability.

This study introduces a computational framework to streamline and standardize clinical trial matching using natural language processing (NLP) and unsupervised clustering. Trial brief descriptions were analyzed to extract frequent terms, and trials were grouped based on term similarity using joint dimensionality reduction and clustering. …

Longitudinal Host Transcriptional Responses To Sars-Cov-2 Infection In Adults With Extremely High Viral Load, Vasanthi Avadhanula, Chad J Creighton, Laura Ferlic-Stark, Divya Nagaraj, Yiqun Zhang, Richard Sucgang, Erin G Nicholson, Anubama Rajan, Vipin Kumar Menon, Harshavardhan Doddapaneni, Donna Marie Muzny, Ginger A Metcalf, Sara Joan Javornik Cregeen, Kristi Louise Hoffman, Richard A Gibbs, Joseph F Petrosino, Pedro A Piedra

Faculty, Staff and Students Publications

Current understanding of viral dynamics of SARS-CoV-2 and host responses driving the pathogenic mechanisms in COVID-19 is rapidly evolving. Here, we conducted a longitudinal study to investigate gene expression patterns during acute SARS-CoV-2 illness. Cases included SARS-CoV-2 infected individuals with extremely high viral loads early in their illness, individuals having low SARS-CoV-2 viral loads early in their infection, and individuals testing negative for SARS-CoV-2. We could identify widespread transcriptional host responses to SARS-CoV-2 infection that were initially most strongly manifested in patients with extremely high initial viral loads, then attenuating within the patient over time as viral loads decreased. Genes …

Goldenbraid20 E Coli: A Comprehensive And Characterized Toolkit For Enterics, Matthew B Cooke, Kobie T Welch, Laura D Ramirez, Alice X Wen, David C Marciano, Christophe Herman

Faculty, Staff and Students Publications

Modular cloning systems streamline laboratory workflows by consolidating genetic 'parts' into reusable and modular collections, enabling researchers to fast-track strain construction. The GoldenBraid 2.0 modular cloning system utilizes the cutting property of type IIS restriction enzymes to create defined genetic 'grammars', which facilitate the reuse of standardized genetic parts and assembly of genetic parts in the right order. Here, we present a GoldenBraid 2.0 toolkit of genetic parts designed to accelerate cloning in the model bacterium

Research For All: Building A Diverse Researcher Community For The All Of Us Research Program, Rubin Baskir, Minnkyong Lee, Sydney J Mcmaster, Jessica Lee, Faith Blackburne-Proctor, Romuladus Azuine, Nakia Mack, Sheri D Schully, Martin Mendoza, Janeth Sanchez, Yong Crosby, Erica Zumba, Michael Hahn, Naomi Aspaas, Ahmed Elmi, Shanté Alerté, Elizabeth Stewart, Danielle Wilfong, Meag Doherty, Margaret M Farrell, Grace B Hébert, Sula Hood, Cheryl M Thomas, Debra D Murray, Brendan Lee, Louisa A Stark, Megan A Lewis, Jen D Uhrig, Laura R Bartlett, Edgar Gil Rico, Adolph Falcón, Elizabeth Cohn, Mitchell R Lunn, Juno Obedin-Maliver, Linda Cottler, Milton Eder, Fornessa T Randal, Jason Karnes, Kitani Lemieux, Nelson Lemieux, Nelson Lemieux, Lilanta Bradley, Ronnie Tepp, Meredith Wilson, Monica Rodriguez, Chris Lunt, Karriem Watson

Faculty, Staff and Students Publications

OBJECTIVES: The NIH All of Us Research Program (All of Us) is engaging a diverse community of more than 10 000 registered researchers using a robust engagement ecosystem model. We describe strategies used to build an ecosystem that attracts and supports a diverse and inclusive researcher community to use the All of Us dataset and provide metrics on All of Us researcher usage growth.

MATERIALS AND METHODS: Researcher audiences and diversity categories were defined to guide a strategy. A researcher engagement strategy was codeveloped with program partners to support a researcher engagement ecosystem. An adapted ecological model guided the ecosystem …

Structural Variant Allelic Heterogeneity In Mecp2 Duplication Syndrome Provides Insight Into Clinical Severity And Variability Of Disease Expression, Davut Pehlivan, Jesse D Bengtsson, Sameer S Bajikar, Christopher M Grochowski, Ming Yin Lun, Mira Gandhi, Angad Jolly, Alexander J Trostle, Holly K Harris, Bernhard Suter, Sukru Aras, Melissa B Ramocki, Haowei Du, Michele G Mehaffey, Kyunghee Park, Ellen Wilkey, Cemal Karakas, Jesper J Eisfeldt, Maria Pettersson, Lynn Liu, Marwan S Shinawi, Virginia E Kimonis, Wojciech Wiszniewski, Kyle Mckenzie, Timo Roser, Angela M Vianna-Morgante, Alberto S Cornier, Ahmed Abdelmoity, James P Hwang, Shalini N Jhangiani, Donna M Muzny, Tadahiro Mitani, Kazuhiro Muramatsu, Shin Nabatame, Daniel G Glaze, Jawid M Fatih, Richard A Gibbs, Zhandong Liu, Anna Lindstrand, Fritz J Sedlazeck, James R Lupski, Huda Y Zoghbi, Claudia M B Carvalho

Faculty, Staff and Students Publications

BACKGROUND: MECP2 Duplication Syndrome, also known as X-linked intellectual developmental disorder Lubs type (MRXSL; MIM: 300260), is a neurodevelopmental disorder caused by copy number gains spanning MECP2. Despite varying genomic rearrangement structures, including duplications and triplications, and a wide range of duplication sizes, no clear correlation exists between DNA rearrangement and clinical features. We had previously demonstrated that up to 38% of MRXSL families are characterized by complex genomic rearrangements (CGRs) of intermediate complexity (2 ≤ copy number variant breakpoints < 5), yet the impact of these genomic structures on regulation of gene expression and phenotypic manifestations have not been investigated.

METHODS: To study the role of the genomic rearrangement structures on an individual's clinical phenotypic variability, we employed a comprehensive …

Using Multiplexed Functional Data To Reduce Variant Classification Inequities In Underrepresented Populations, Moez Dawood, Shawn Fayer, Sriram Pendyala, Mason Post, Divya Kalra, Karynne Patterson, Eric Venner, Lara A Muffley, Douglas M Fowler, Alan F Rubin, Jennifer E Posey, Sharon E Plon, James R Lupski, Richard A Gibbs, Lea M Starita, Carla Daniela Robles-Espinoza, Willow Coyote-Maestas, Irene Gallego Romero

Faculty, Staff and Students Publications

BACKGROUND: Multiplexed Assays of Variant Effects (MAVEs) can test all possible single variants in a gene of interest. The resulting saturation-style functional data may help resolve variant classification disparities between populations, especially for Variants of Uncertain Significance (VUS).

METHODS: We analyzed clinical significance classifications in 213,663 individuals of European-like genetic ancestry versus 206,975 individuals of non-European-like genetic ancestry from All of Us and the Genome Aggregation Database. Then, we incorporated clinically calibrated MAVE data into the Clinical Genome Resource's Variant Curation Expert Panel rules to automate VUS reclassification for BRCA1, TP53, and PTEN.

RESULTS: Using two orthogonal statistical approaches, we …

Onset And Progression Of Disease In Nonhuman Primates With Pde6c Cone Disorder, Monica Ardon, Lily Nguyen, Rui Chen, Jeffrey Rogers, Tim Stout, Sara Thomasy, Ala Moshiri

Faculty, Staff and Students Publications

PURPOSE: The California National Primate Research Center contains a colony of rhesus macaques with a homozygous missense mutation in PDE6C (R565Q) which causes a cone disorder similar to PDE6C achromatopsia in humans. The purposes of this study are to characterize the phenotype in PDE6C macaques in detail to determine the onset of the cone phenotype, the degree to which the phenotype progresses, if heterozygote animals have an intermediate phenotype, and if rod photoreceptor function declines over time.

METHODS: We analyzed spectral-domain optical coherence tomography (SD-OCT), fundus autofluorescence (FAF), and electroretinography (ERG) data from 102 eyes of 51 macaques (aged 0.25 …

Development And Evaluation Of A Training Curriculum To Engage Researchers On Accessing And Analyzing The All Of Us Data, Julie R Coleman, Jasmine N Baker, Shamika Ketkar, Ashley M Butler, Laterrica Williams, Latanya Hammonds-Odie, Elizabeth G Atkinson, Debra D Murray, Brendan Lee, Kim C Worley

Faculty, Staff and Students Publications

OBJECTIVE: The All of Us Evenings with Genetics (EwG) Research Program at Baylor College of Medicine (BCM), funded to engage research scholars to work with the All of Us data, developed a training curriculum for the Researcher Workbench, the platform to access and analyze All of Us data. All of Us EwG developed the curriculum so that it could teach scholars regardless of their skills and background in programming languages and cloud computing. All of Us EwG delivered this curriculum at the first annual All of Us EwG Faculty Summit in May 2022. The curriculum was evaluated both during and …

Steering Research On Mrna Splicing In Cancer Towards Clinical Translation, Olga Anczukow, Frédéric H-T Allain, Brittany L Angarola, Douglas L Black, Angela N Brooks, Chonghui Cheng, Ana Conesa, Edie I Crosse, Eduardo Eyras, Ernesto Guccione, Sydney X Lu, Karla M Neugebauer, Priyanka Sehgal, Xiao Song, Zuzana Tothova, Juan Valcárcel, Kevin M Weeks, Gene W Yeo, Andrei Thomas-Tikhonenko

Faculty, Staff and Students Publications

Splicing factors are affected by recurrent somatic mutations and copy number variations in several types of haematologic and solid malignancies, which is often seen as prima facie evidence that splicing aberrations can drive cancer initiation and progression. However, numerous spliceosome components also 'moonlight' in DNA repair and other cellular processes, making their precise role in cancer difficult to pinpoint. Still, few would deny that dysregulated mRNA splicing is a pervasive feature of most cancers. Correctly interpreting these molecular fingerprints can reveal novel tumour vulnerabilities and untapped therapeutic opportunities. Yet multiple technological challenges, lingering misconceptions, and outstanding questions hinder clinical translation. …

Rfc2 May Contribute To The Pathogenicity Of Williams Syndrome Revealed In A Zebrafish Model, Ji-Won Park, Tae-Ik Choi, Tae-Yoon Kim, Yu-Ri Lee, Dilan Wellalage Don, Jaya K George-Abraham, Laurie A Robak, Cristina C Trandafir, Pengfei Liu, Jill A Rosenfeld, Tae Hyeong Kim, Florence Petit, Yoo-Mi Kim, Chong Kun Cheon, Yoonsung Lee, Cheol-Hee Kim

Faculty, Staff and Students Publications

Williams syndrome (WS) is a rare multisystemic disorder caused by recurrent microdeletions on 7q11.23, characterized by intellectual disability, distinctive craniofacial and dental features, and cardiovascular problems. Previous studies have explored the roles of individual genes within these microdeletions in contributing to WS phenotypes. Here, we report five patients with WS with 1.4 Mb-1.5 Mb microdeletions that include RFC2, as well as one patient with a 167-kb microdeletion involving RFC2 and six patients with intragenic variants within RFC2. To investigate the potential involvement of RFC2 in WS pathogenicity, we generate a rfc2 knockout (KO) zebrafish using CRISPR-Cas9 technology. Additionally, we generate …

A Proteome-Wide Association Study Identifies Putative Causal Proteins For Breast Cancer Risk, Tianying Zhao, Shuai Xu, Jie Ping, Guochong Jia, Yongchao Dou, Jill E Henry, Bing Zhang, Xingyi Guo, Michele L Cote, Qiuyin Cai, Xiao-Ou Shu, Wei Zheng, Jirong Long

Faculty, Staff and Students Publications

BACKGROUND: Genome-wide association studies (GWAS) have identified more than 200 breast cancer risk-associated genetic loci, yet the causal genes and biological mechanisms for most loci remain elusive. Proteins, as final gene products, are pivotal in cellular function. In this study, we conducted a proteome-wide association study (PWAS) to identify proteins in breast tissue related to breast cancer risk.

METHODS: We profiled the proteome in fresh frozen breast tissue samples from 120 cancer-free European-ancestry women from the Susan G. Komen Tissue Bank (KTB). Protein expression levels were log2-transformed then normalized via quantile and inverse-rank transformations. GWAS data were also generated for …

Tyk2 Regulates Tau Levels, Phosphorylation And Aggregation In A Tauopathy Mouse Model, Jiyoen Kim, Bakhos Tadros, Yan Hong Liang, Youngdoo Kim, Cristian Lasagna-Reeves, Jun Young Sonn, Dah-Eun Chloe Chung, Bradley Hyman, David M Holtzman, Huda Yahya Zoghbi

Faculty, Staff and Students Publications

Alzheimer's disease is one of at least 26 diseases characterized by tau-positive accumulation in neurons, glia or both. However, it is still unclear what modifications cause soluble tau to transform into insoluble aggregates. We previously performed genetic screens that identified tyrosine kinase 2 (TYK2) as a candidate regulator of tau levels. Here we verified this finding and found that TYK2 phosphorylates tau at tyrosine 29 (Tyr29) leading to its stabilization and promoting its aggregation in human cells. We discovered that TYK2-mediated Tyr29 phosphorylation interferes with autophagic clearance of tau. We also show that TYK2-mediated phosphorylation of Tyr29 facilitates pathological tau …

Identification Of Lrp1+Cd13+ Human Periosteal Stem Cells That Require Lrp1 For Bone Repair, Youngjae Jeong, Lorenzo Deveza, Laura Ortinau, Kevin Lei, John R Dawson, Dongsu Park

Faculty, Staff and Students Publications

Human periosteal skeletal stem cells (P-SSCs) are critical for cortical bone maintenance and repair. However, their in vivo identity, molecular characteristics, and specific markers remain unknown. Here, single-cell sequencing revealed human periosteum contains SSC clusters expressing known SSC markers, podoplanin (PDPN) and PDGFRA. Notably, human P-SSCs, but not bone marrow SSCs, selectively expressed identified markers low density lipoprotein receptor-related protein 1 (LRP1) and CD13. These LRP1+CD13+ human P-SSCs were perivascular cells with high osteochondrogenic but minimal adipogenic potential. Upon transplantation into bone injuries in mice, they preserved self-renewal capability in vivo. Single-cell analysis of mouse periosteum further supported the preferential …

A Proteogenomic Analysis Of Cervical Cancer Reveals Therapeutic And Biological Insights, Jing Yu, Xiuqi Gui, Yunhao Zou, Qian Liu, Zhicheng Yang, Jusheng An, Xuan Guo, Kaihua Wang, Jiaming Guo, Manni Huang, Shuhan Zhou, Jing Zuo, Yimin Chen, Lu Deng, Guangwen Yuan, Ning Li, Yan Song, Jia Jia, Jia Zeng, Yuxi Zhao, Xianming Liu, Xiaoxian Du, Yansheng Liu, Pei Wang, Bing Zhang, Li Ding, Ana I Robles, Henry Rodriguez, Hu Zhou, Zhen Shao, Lingying Wu, Daming Gao

Faculty, Staff and Students Publications

Although the incidence of cervical cancer (CC) has been reduced in high-income countries due to human papillomavirus (HPV) vaccination and screening strategies, it remains a significant public health issue that poses a threat to women's health in low-income countries. Here, we perform a comprehensive proteogenomic profiling of CC tumors obtained from 139 Chinese women. Integrated proteogenomic analysis links genetic aberrations to downstream pathogenesis-related pathways and reveals the landscape of HPV-associated multi-omic changes. EP300 is found to enhance the acetylation of FOSL2-K222, consequently accelerating the malignant proliferation of CC cells. Proteomic stratification identifies three patient subgroups with distinct features in prognosis, …