Digital Commons Network^™

Phenome-Wide Identification Of Therapeutic Genetic Targets, Leveraging Knowledge Graphs, Graph Neural Networks, And Uk Biobank Data, Lawrence Middleton, Ioannis Melas, Chirag Vasavda, Arwa Raies, Benedek Rozemberczki, Ryan S Dhindsa, Justin S Dhindsa, Blake Weido, Quanli Wang, Andrew R Harper, Gavin Edwards, Slavé Petrovski, Dimitrios Vitsios

Faculty, Staff and Students Publications

The ongoing expansion of human genomic datasets propels therapeutic target identification; however, extracting gene-disease associations from gene annotations remains challenging. Here, we introduce Mantis-ML 2.0, a framework integrating AstraZeneca's Biological Insights Knowledge Graph and numerous tabular datasets, to assess gene-disease probabilities throughout the phenome. We use graph neural networks, capturing the graph's holistic structure, and train them on hundreds of balanced datasets via a robust semi-supervised learning framework to provide gene-disease probabilities across the human exome. Mantis-ML 2.0 incorporates natural language processing to automate disease-relevant feature selection for thousands of diseases. The enhanced models demonstrate a 6.9% average classification power …

Pediatric Dermatologists Versus Ai Bots: Evaluating The Medical Knowledge And Diagnostic Capabilities Of Chatgpt, Charles Y. Huang, Esther Zhang, Marie-Chantal Caussade, Trinity Brown, Griffin Stockton Hogrogian, Albert C. Yan

Student Papers, Posters & Projects

This study evaluates the clinical accuracy of OpenAI's ChatGPT in pediatric dermatology by comparing its responses on multiple-choice and case-based questions to those of pediatric dermatologists. ChatGPT's versions 3.5 and 4.0 were tested against questions from the American Board of Dermatology and the "Photoquiz" section of Pediatric Dermatology. Results show that human pediatric dermatology clinicians generally outperformed both ChatGPT iterations, though ChatGPT-4.0 demonstrated comparable performance in some areas. The study highlights the potential of AI tools in aiding clinicians with medical knowledge and decision-making, while also emphasizing the need for continual advancements and clinician oversight in using such technologies.

Distinct Autoantibody Profiles Across Checkpoint Inhibitor Types And Toxicities, Hong Mu-Mosley, Mitchell S Von Itzstein, Farjana Fattah, Jialiang Liu, Chengsong Zhu, Yang Xie, Edward K Wakeland, Jason Y Park, Brad S Kahl, Catherine S Diefenbach, David E Gerber

2020-Current year OA Pubs

Immune checkpoint inhibitors (ICI) are increasingly used in combination. To understand the effects of different ICI categories, we characterized changes in circulating autoantibodies in patients enrolled in the E4412 trial (NCT01896999) of brentuximab vedotin (BV) plus ipilimumab, BV plus nivolumab, or BV plus ipilimumab-nivolumab for Hodgkin Lymphoma. Cycle 2 Day 1 (C2D1) autoantibody levels were compared to pre-treatment baseline. Across 112 autoantibodies tested, we generally observed increases in ipilimumab-containing regimens, with decreases noted in the nivolumab arm. Among 15 autoantibodies with significant changes at C2D1, all nivolumab cases exhibited decreases, with more than 90% of ipilimumab-exposed cases showing increases. Autoantibody …

A Common Polymorphism In The Intelectin-1 Gene Influences Mucus Plugging In Severe Asthma, Jamie L Everman, Kaharu Sumino, David S. Gierada, Et Al.

2020-Current year OA Pubs

By incompletely understood mechanisms, type 2 (T2) inflammation present in the airways of severe asthmatics drives the formation of pathologic mucus which leads to airway mucus plugging. Here we investigate the molecular role and clinical significance of intelectin-1 (ITLN-1) in the development of pathologic airway mucus in asthma. Through analyses of human airway epithelial cells we find that ITLN1 gene expression is highly induced by interleukin-13 (IL-13) in a subset of metaplastic MUC5AC

Casi: A Framework For Cross-Timepoint Analysis Of Single-Cell Rna Sequencing Data, Yizhuo Wang, Christopher R Flowers, Michael Wang, Xuelin Huang, Ziyi Li

Faculty, Staff and Student Publications

Single-cell RNA sequencing (scRNA-seq) technology has been widely used to study the differences in gene expression at the single cell level, providing insights into the research of cell development, differentiation, and functional heterogeneity. Various pipelines and workflows of scRNA-seq analysis have been developed but few considered multi-timepoint data specifically. In this study, we develop CASi, a comprehensive framework for analyzing multiple timepoints' scRNA-seq data, which provides users with: (1) cross-timepoint cell annotation, (2) detection of potentially novel cell types emerged over time, (3) visualization of cell population evolution, and (4) identification of temporal differentially expressed genes (tDEGs). Through comprehensive simulation …

Downregulation Of Mirlet7 Mirna Family Promotes Tc17 Differentiation And Emphysema Via De-Repression Of Rorγt, Phillip A Erice, Xinyan Huang, Matthew J Seasock, Matthew J Robertson, Hui-Ying Tung, Melissa A Perez-Negron, Shivani L Lotlikar, David B Corry, Farrah Kheradmand, Antony Rodriguez

Faculty, Staff and Students Publications

Environmental air irritants including nanosized carbon black (nCB) can drive systemic inflammation, promoting chronic obstructive pulmonary disease (COPD) and emphysema development. The let-7 microRNA (Mirlet7 miRNA) family is associated with IL-17-driven T cell inflammation, a canonical signature of lung inflammation. Recent evidence suggests the Mirlet7 family is downregulated in patients with COPD, however, whether this repression conveys a functional consequence on emphysema pathology has not been elucidated. Here, we show that overall expression of the Mirlet7 clusters, Mirlet7b/Mirlet7c2 and Mirlet7a1/Mirlet7f1/Mirlet7d, are reduced in the lungs and T cells of smokers with emphysema as well as in mice with …

Exome Sequencing Implicates Ancestry-Related Mendelian Variation At Syne1 In Childhood-Onset Essential Hypertension, Ian Copeland, Edmond Wonkam-Tingang, Monesha Gupta-Malhotra, S Shahrukh Hashmi, Yixing Han, Aarti Jajoo, Nancy J Hall, Paula P Hernandez, Natasha Lie, Dan Liu, Jun Xu, Jill Rosenfeld, Aparna Haldipur, Zelene Desire, Zeynep H Coban-Akdemir, Daryl A Scott, Qing Li, Hsiao-Tuan Chao, Ana M Zaske, James R Lupski, Dianna M Milewicz, Sanjay Shete, Jennifer E Posey, Neil A Hanchard

Faculty, Staff and Student Publications

Childhood-onset essential hypertension (COEH) is an uncommon form of hypertension that manifests in childhood or adolescence and, in the United States, disproportionately affects children of African ancestry. The etiology of COEH is unknown, but its childhood onset, low prevalence, high heritability, and skewed ancestral demography suggest the potential to identify rare genetic variation segregating in a Mendelian manner among affected individuals and thereby implicate genes important to disease pathogenesis. However, no COEH genes have been reported to date. Here, we identify recessive segregation of rare and putatively damaging missense variation in the spectrin domain of spectrin repeat containing nuclear envelope …

Correction: Horne Et Al White Matter Correlates Of Domain-Specific Working Memory, Autumn Horne, Junhua Ding, Tatiana T Schnur, Randi C Martin

Faculty, Staff and Student Publications

In the original publication [...].

Crizanlizumab For Retinal Vasculopathy With Cerebral Leukoencephalopathy In A Phase Ii Clinical Study, Wilson X. Wang, Dan Spiegelman, P. Kumar Rao, Andria L. Ford, Rajendra S. Apte

2020-Current year OA Pubs

BackgroundRetinal vasculopathy with cerebral leukoencephalopathy and systemic manifestations (RVCL-S) is a rare, autosomal dominant, universally fatal disease without effective treatment options. This study explores the safety and preliminary efficacy of crizanlizumab, a humanized monoclonal antibody against P-selectin approved for the prevention of sickle cell crises, in slowing retinal nonperfusion and preserving vision in patients with RVCL-S.METHODSEleven patients with RVCL-S with confirmed exonuclease 3 prime repair exonuclease 1 (TREX1) mutations received monthly crizanlizumab infusions over 2 years. The study measured the nonperfusion index within 3 retinal zones and the total retina with fluorescein angiography, visual acuity, intraocular pressure (IOP), and optical …

Urinary Proteomics And Outcomes In Heart Failure With Preserved Ejection Fraction, Corinne Carland, Ali Javaheri, Douglas L Mann, Et Al.

2020-Current year OA Pubs

BACKGROUND: Although several studies have addressed plasma proteomics in heart failure with preserved ejection fraction, limited data are available on the prognostic value of urinary proteomics. The objective of our study was to identify urinary proteins/peptides associated with death and heart failure admission in patients with heart failure with preserved ejection fraction.

METHODS AND RESULTS: The study population included participants enrolled in TOPCAT (Treatment of Preserved Cardiac Function Heart Failure With an Aldosterone Antagonist Trial). The relationship between urine protein levels and the risk of death or heart failure admission was assessed using Cox regression, in both nonadjusted analyses and …

Determinants Of Mosaic Chromosomal Alteration Fitness, Yash Pershad, Taralynn Mack, Hannah Poisner, Yasminka A Jakubek, Adrienne M Stilp, Braxton D Mitchell, Joshua P Lewis, Eric Boerwinkle, Ruth J F Loos, Nathalie Chami, Zhe Wang, Kathleen Barnes, Nathan Pankratz, Myriam Fornage, Susan Redline, Bruce M Psaty, Joshua C Bis, Ali Shojaie, Edwin K Silverman, Michael H Cho, Jeong H Yun, Dawn Demeo, Daniel Levy, Andrew D Johnson, Rasika A Mathias, Margaret A Taub, Donna Arnett, Kari E North, Laura M Raffield, April P Carson, Margaret F Doyle, Stephen S Rich, Jerome I Rotter, Xiuqing Guo, Nancy J Cox, Dan M Roden, Nora Franceschini, Pinkal Desai, Alex P Reiner, Paul L Auer, Paul A Scheet, Siddhartha Jaiswal, Joshua S Weinstock, Alexander G Bick

Faculty, Staff and Student Publications

Clonal hematopoiesis (CH) is characterized by the acquisition of a somatic mutation in a hematopoietic stem cell that results in a clonal expansion. These driver mutations can be single nucleotide variants in cancer driver genes or larger structural rearrangements called mosaic chromosomal alterations (mCAs). The factors that influence the variations in mCA fitness and ultimately result in different clonal expansion rates are not well understood. We used the Passenger-Approximated Clonal Expansion Rate (PACER) method to estimate clonal expansion rate as PACER scores for 6,381 individuals in the NHLBI toPMed cohort with gain, loss, and copy-neutral loss of heterozygosity mCAs. Our …

Endotrophin, A Key Marker And Driver For Fibroinflammatory Disease, Kim Henriksen, Federica Genovese, Alexander Reese-Petersen, Laurent P Audoly, Kai Sun, Morten A Karsdal, Philipp E Scherer

Faculty, Staff and Student Publications

Our overview covers several key areas related to recent results obtained for collagen type VI and endotrophin (ETP). (1) An introduction to the history of ETP, including how it was identified, how it is released, and its function and potential receptors. (2) An introduction to the collagen family, with a focus on what differentiates collagen type VI from an evolutionary standpoint. (3) An overview of collagen type VI, the 6 individual chains (COL6A1, A2, A3, A4, A5, and A6), their differences and similarities, as well as their expression profiles and function. (4) A detailed analysis of COL6A3, including the cleaved …

Histone Demethylase Kdm5 Regulates Cardiomyocyte Maturation By Promoting Fatty Acid Oxidation, Oxidative Phosphorylation, And Myofibrillar Organization, Manisha Deogharia, Leslye Venegas-Zamora, Akanksha Agrawal, Miusi Shi, Abhinav K Jain, Kevin J Mchugh, Francisco Altamirano, Ali J Marian, Priyatansh Gurha

Faculty, Staff and Student Publications

Aims: Human pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) provide a platform to identify and characterize factors that regulate the maturation of CMs. The transition from an immature foetal to an adult CM state entails coordinated regulation of the expression of genes involved in myofibril formation and oxidative phosphorylation (OXPHOS) among others. Lysine demethylase 5 (KDM5) specifically demethylates H3K4me1/2/3 and has emerged as potential regulators of expression of genes involved in cardiac development and mitochondrial function. The purpose of this study is to determine the role of KDM5 in iPSC-CM maturation.

Methods and results: KDM5A, B, and C proteins were mainly expressed …

Single Extracellular Vesicle Imaging And Computational Analysis Identifies Inherent Architectural Heterogeneity, Kshipra S Kapoor, Seoyun Kong, Hikaru Sugimoto, Wenhua Guo, Vivek Boominathan, Yi-Lin Chen, Sibani Lisa Biswal, Tanguy Terlier, Kathleen M Mcandrews, Raghu Kalluri

Faculty, Staff and Student Publications

Evaluating the heterogeneity of extracellular vesicles (EVs) is crucial for unraveling their complex actions and biodistribution. Here, we identify consistent architectural heterogeneity of EVs using cryogenic transmission electron microscopy (cryo-TEM), which has an inherent ability to image biological samples without harsh labeling methods while preserving their native conformation. Imaging EVs isolated using different methodologies from distinct sources, such as cancer cells, normal cells, immortalized cells, and body fluids, we identify a structural atlas of their dominantly consistent shapes. We identify EV architectural attributes by utilizing a segmentation neural network model. In total, 7,576 individual EVs were imaged and quantified by …

Progress Toward A Vaccine For Extraintestinal Pathogenic Coli (Expec) Ii: Efficacy Of A Toxin-Autotransporter Dual Antigen Approach, Yikun Xing, Justin R Clark, James D Chang, Jacob J Zulk, Dylan M Chirman, Felipe-Andres Piedra, Ellen E Vaughan, Haroldo J Hernandez Santos, Kathryn A Patras, Anthony W Maresso

Faculty, Staff and Students Publications

Extraintestinal pathogenic Escherichia coli (ExPEC) is a leading cause of worldwide morbidity and mortality, the top cause of antimicrobial-resistant (AMR) infections, and the most frequent cause of life-threatening sepsis and urinary tract infections (UTI) in adults. The development of an effective and universal vaccine is complicated by this pathogen’s pan-genome, its ability to mix and match virulence factors and AMR genes via horizontal gene transfer, an inability to decipher commensal from pathogens, and its intimate association and co-evolution with mammals. Using a pan virulome analysis of >20,000 sequenced E. coli strains, we identified the secreted cytolysin α-hemolysin (HlyA) as a …

Stereospecific Nanog Pest Stabilization By Pin1, Josephine C Ferreon, Hai Minh Ta, Hyosuk Yun, Kyoung-Jae Choi, My Diem Quan, Phoebe S Tsoi, Choel Kim, Chul Won Lee, Allan Chris M Ferreon

Faculty, Staff and Students Publications

NANOG protein levels correlate with stem cell pluripotency. NANOG concentrations fluctuate constantly with low NANOG levels leading to spontaneous cell differentiation. Previous literature implicated Pin1, a phosphorylation-dependent prolyl isomerase, as a key player in NANOG stabilization. Here, using NMR spectroscopy, we investigate the molecular interactions of Pin1 with the NANOG unstructured N-terminal domain that contains a PEST sequence with two phosphorylation sites. Phosphorylation of NANOG PEST peptides increases affinity to Pin1. By systematically increasing the amount of cis PEST conformers, we show that the peptides bind tighter to the prolyl isomerase domain (PPIase) of Pin1. Phosphorylation and cis Pro enhancement …

Ras G-Domains Allosterically Contribute To The Recognition Of Lipid Headgroups And Acyl Chains, Neha Arora, Huanwen Mu, Hong Liang, Wenting Zhao, Yong Zhou

Faculty, Staff and Student Publications

Mutant RAS are major contributors to cancer and signal primarily from nanoclusters on the plasma membrane (PM). Their C-terminal membrane anchors are main features of membrane association. However, the same RAS isoform bound to different guanine nucleotides spatially segregate. Different RAS nanoclusters all enrich a phospholipid, phosphatidylserine (PS). These findings suggest more complex membrane interactions. Our electron microscopy-spatial analysis shows that wild-types, G12V mutants, and membrane anchors of isoforms HRAS, KRAS4A, and KRAS4B prefer distinct PS species. Mechanistically, reorientation of KRAS4B G-domain exposes distinct residues, such as Arg 135 in orientation state 1 (OS1) and Arg 73/Arg 102 in OS2, …

Data Normalization For Addressing The Challenges In The Analysis Of Single-Cell Transcriptomic Datasets, Raquel Cuevas-Diaz Duran, Haichao Wei, Jiaqian Wu

Faculty, Staff and Student Publications

BACKGROUND: Normalization is a critical step in the analysis of single-cell RNA-sequencing (scRNA-seq) datasets. Its main goal is to make gene counts comparable within and between cells. To do so, normalization methods must account for technical and biological variability. Numerous normalization methods have been developed addressing different sources of dispersion and making specific assumptions about the count data.

MAIN BODY: The selection of a normalization method has a direct impact on downstream analysis, for example differential gene expression and cluster identification. Thus, the objective of this review is to guide the reader in making an informed decision on the most …

Discovery Of Immunotherapy Targets For Pediatric Solid And Brain Tumors By Exon-Level Expression., Timothy I Shaw, Jessica Wagner, Liqing Tian, Elizabeth Wickman, Suresh Poudel, Jian Wang, Robin Paul, Selene C Koo, Meifen Lu, Heather Sheppard, Yiping Fan, Francis H O'Neill, Ching C Lau, Xin Zhou, Jinghui Zhang, Stephen Gottschalk

Faculty Research 2024

Immunotherapy with chimeric antigen receptor T cells for pediatric solid and brain tumors is constrained by available targetable antigens. Cancer-specific exons present a promising reservoir of targets; however, these have not been explored and validated systematically in a pan-cancer fashion. To identify cancer specific exon targets, here we analyze 1532 RNA-seq datasets from 16 types of pediatric solid and brain tumors for comparison with normal tissues using a newly developed workflow. We find 2933 exons in 157 genes encoding proteins of the surfaceome or matrisome with high cancer specificity either at the gene (n = 148) or the alternatively spliced …

The Pocketperio Application Significantly Increases The Accuracy Of Diagnosing Periodontal Conditions In Didactic And Chairside Settings, Karo Parsegian, David K Okano, Sangeetha Chandrasekaran, Yoolim Kim, Tonia C Carter, Neel Shimpi, Sadaf Fadakar, Nikola Angelov

Faculty, Staff and Student Publications

The study aimed to determine the accuracy of diagnosing periodontal conditions using the developed web-based PocketPerio application and evaluate the user’s perspective on the use of PocketPerio. First, 22 third-year dental students (DS3) diagnosed ten cases without PocketPerio (control) and with PocketPerio (test) during a mock examination. Then, 105 DS3, 13 fourth-year dental students (DS4), and 32 senior second-year International Standing Program students (ISP2) used PocketPerio chairside. Statistical analysis was performed using a non-parametric paired two-tailed test of significance with the Wilcoxon matched-pairs signed rank test. The null hypothesis that PocketPerio did not increase the accuracy of periodontal diagnoses …

Autologous Bone Marrow Mononuclear Cells To Treat Severe Traumatic Brain Injury In Children, Charles S Cox, David M Notrica, Jenifer Juranek, Jeffrey H Miller, Fabio Triolo, Steven Kosmach, Sean I Savitz, P David Adelson, Claudia Pedroza, Scott D Olson, Michael C Scott, Akshita Kumar, Benjamin M Aertker, Henry W Caplan, Margaret L Jackson, Brijesh S Gill, Robert A Hetz, Michael S Lavoie, Linda Ewing-Cobbs

Faculty, Staff and Student Publications

Autologous bone marrow mononuclear cells (BMMNCs) infused after severe traumatic brain injury have shown promise for treating the injury. We evaluated their impact in children, particularly their hypothesized ability to preserve the blood–brain barrier and diminish neuroinflammation, leading to structural CNS preservation with improved outcomes.

We performed a randomized, double-blind, placebo-sham-controlled Bayesian dose-escalation clinical trial at two children's hospitals in Houston, TX and Phoenix, AZ, USA (NCT01851083). Patients 5–17 years of age with severe traumatic brain injury (Glasgow Coma Scale score ≤ 8) were randomized to BMMNC or placebo (3:2). Bone marrow harvest, cell isolation and infusion were …

Examining The Association Between Abstinence From Smoking And Healthcare Costs Among Patients With Cancer, George Kypriotakis, Seokhun Kim, Maher Karam-Hage, Jason D Robinson, Jennifer A Minnix, Janice A Blalock, Yong Cui, Diane Beneventi, Bumyang Kim, I-Wen Pan, Ya-Chen Tina Shih, Paul M Cinciripini

Faculty, Staff and Student Publications

Continuous tobacco use in cancer patients is linked to substantial healthcare costs due to increased risks and complications, whereas quitting smoking leads to improved treatment outcomes and cost reductions. Addressing the need for empirical evidence on the economic impact of smoking cessation, this study examined the association between smoking cessation and healthcare cost utilization among a sample of 930 cancer patients treated at The University of Texas MD Anderson Cancer Center’s Tobacco Research and Treatment Program (TRTP). Applying conditional quantile regression and propensity scores to address confounding, our findings revealed that abstinence achieved through the TRTP significantly reduced the median …

Tsyn-Seq: A T-Cell Synapse-Based Antigen Identification Platform, Yimei Jin, Takahiko Miyama, Alexandria Brown, Tomo Hayase, Xingzhi Song, Anand K Singh, Licai Huang, Ivonne I Flores, Lauren K Mcdaniel, Israel Glover, Taylor M Halsey, Rishika Prasad, Valerie Chapa, Saira Ahmed, Jianhua Zhang, Kunal Rai, Christine B Peterson, Gregory Lizee, Jennifer Karmouch, Eiko Hayase, Jeffrey J Molldrem, Chia-Chi Chang, Wen-Bin Tsai, Robert R Jenq

Faculty, Staff and Student Publications

Tools for genome-wide rapid identification of peptide-major histocompatibility complex targets of T-cell receptors (TCR) are not yet universally available. We present a new antigen screening method, the T-synapse (Tsyn) reporter system, which includes antigen-presenting cells (APC) with a Fas-inducible NF-κB reporter and T cells with a nuclear factor of activated T cells (NFAT) reporter. To functionally screen for target antigens from a cDNA library, productively interacting T cell-APC aggregates were detected by dual-reporter activity and enriched by flow sorting followed by antigen identification quantified by deep sequencing (Tsyn-seq). When applied to a previously characterized TCR specific for the E7 antigen …

Using Genome And Transcriptome Data From African-Ancestry Female Participants To Identify Putative Breast Cancer Susceptibility Genes, Jie Ping, Guochong Jia, Qiuyin Cai, Xingyi Guo, Ran Tao, Christine Ambrosone, Dezheng Huo, Stefan Ambs, Mollie E Barnard, Yu Chen, Montserrat Garcia-Closas, Jian Gu, Jennifer J Hu, Esther M John, Christopher I Li, Katherine Nathanson, Barbara Nemesure, Olufunmilayo I Olopade, Tuya Pal, Michael F Press, Maureen Sanderson, Dale P Sandler, Toshio Yoshimatsu, Prisca O Adejumo, Thomas Ahearn, Abenaa M Brewster, Anselm J M Hennis, Timothy Makumbi, Paul Ndom, Katie M O'Brien, Andrew F Olshan, Mojisola M Oluwasanu, Sonya Reid, Song Yao, Ebonee N Butler, Maosheng Huang, Atara Ntekim, Bingshan Li, Melissa A Troester, Julie R Palmer, Christopher A Haiman, Jirong Long, Wei Zheng

Faculty, Staff and Student Publications

African-ancestry (AA) participants are underrepresented in genetics research. Here, we conducted a transcriptome-wide association study (TWAS) in AA female participants to identify putative breast cancer susceptibility genes. We built genetic models to predict levels of gene expression, exon junction, and 3' UTR alternative polyadenylation using genomic and transcriptomic data generated in normal breast tissues from 150 AA participants and then used these models to perform association analyses using genomic data from 18,034 cases and 22,104 controls. At Bonferroni-corrected P < 0.05, we identified six genes associated with breast cancer risk, including four genes not previously reported (CTD-3080P12.3, EN1, LINC01956 and NUP210L). Most of these genes showed a stronger association with risk of estrogen-receptor (ER) negative or triple-negative than ER-positive breast cancer. We also replicated the associations with 29 genes reported in previous TWAS at P < 0.05 (one-sided), providing further support for an association of these genes with breast cancer risk. Our study sheds new light on the genetic basis of breast cancer and highlights the value of conducting research in AA populations.

Development And Validation Of A Rule-Based Algorithm To Identify Periodontal Diagnosis Using Structured Electronic Health Record Data, Bunmi Tokede, Ryan Brandon, Chun-Teh Lee, Guo-Hao Lin, Joel White, Alfa Yansane, Xiaoqian Jiang, Elsbeth Kalenderian, Muhammad Walji

Faculty, Staff and Student Publications

AIM: To develop and validate an automated electronic health record (EHR)-based algorithm to suggest a periodontal diagnosis based on the 2017 World Workshop on the Classification of Periodontal Diseases and Conditions.

MATERIALS AND METHODS: Using material published from the 2017 World Workshop, a tool was iteratively developed to suggest a periodontal diagnosis based on clinical data within the EHR. Pertinent clinical data included clinical attachment level (CAL), gingival margin to cemento-enamel junction distance, probing depth, furcation involvement (if present) and mobility. Chart reviews were conducted to confirm the algorithm's ability to accurately extract clinical data from the EHR, and then …

Early Molecular Events Of Autosomal-Dominant Alzheimer's Disease In Marmosets With Psen1 Mutations., Gregg E Homanics, Jung Eun Park, Lauren Bailey, David J Schaeffer, Lauren Schaeffer, Jie He, Shuoran Li, Tingting Zhang, Annat Haber, Catrina Spruce, Anna Greenwood, Takeshi Murai, Laura Schultz, Lauren Mongeau, Seung-Kwon Ha, Julia Oluoch, Brianne Stein, Sang Ho Choi, Hasi Huhe, Amantha Thathiah, Peter L Strick, Gregory W. Carter, Afonso C Silva, Stacey J Sukoff Rizzo

Faculty Research 2024

INTRODUCTION: Fundamental questions remain about the key mechanisms that initiate Alzheimer's disease (AD) and the factors that promote its progression. Here we report the successful generation of the first genetically engineered marmosets that carry knock-in (KI) point mutations in the presenilin 1 (PSEN1) gene that can be studied from birth throughout lifespan.

METHODS: CRISPR/Cas9 was used to generate marmosets with C410Y or A426P point mutations in PSEN1. Founders and their germline offspring are comprehensively studied longitudinally using non-invasive measures including behavior, biomarkers, neuroimaging, and multiomics signatures.

RESULTS: Prior to adulthood, increases in plasma amyloid beta were observed in PSEN1 mutation …

Single-Nucleotide Variant Calling In Single-Cell Sequencing Data With Monopogen, Jinzhuang Dou, Yukun Tan, Kian Hong Kock, Jun Wang, Xuesen Cheng, Le Min Tan, Kyung Yeon Han, Chung-Chau Hon, Woong-Yang Park, Jay W Shin, Haijing Jin, Yujia Wang, Han Chen, Li Ding, Shyam Prabhakar, Nicholas Navin, Rui Chen, Ken Chen

Faculty, Staff and Student Publications

Single-cell omics technologies enable molecular characterization of diverse cell types and states, but how the resulting transcriptional and epigenetic profiles depend on the cell's genetic background remains understudied. We describe Monopogen, a computational tool to detect single-nucleotide variants (SNVs) from single-cell sequencing data. Monopogen leverages linkage disequilibrium from external reference panels to identify germline SNVs and detects putative somatic SNVs using allele cosegregating patterns at the cell population level. It can identify 100 K to 3 M germline SNVs achieving a genotyping accuracy of 95%, together with hundreds of putative somatic SNVs. Monopogen-derived genotypes enable global and local ancestry inference …

Ethical Concerns For Remote Computer Perception In Cardiology: New Stages For Digital Health Technologies, Artificial Intelligence, And Machine Learning, Kristin Kostick-Quenet, Jerry Estep, Jennifer S Blumenthal-Barby

Center for Medical Ethics and Health Policy Staff Publications

No abstract provided.

Targeted Accurate Rna Consensus Sequencing (Tarc-Seq) Reveals Mechanisms Of Replication Error Affecting Sars-Cov-2 Divergence, Catherine C Bradley, Chen Wang, Alasdair J E Gordon, Alice X Wen, Pamela N Luna, Matthew B Cooke, Brendan F Kohrn, Scott R Kennedy, Vasanthi Avadhanula, Pedro A Piedra, Olivier Lichtarge, Chad A Shaw, Shannon E Ronca, Christophe Herman

Duncan NRI Faculty and Staff Publications

RNA viruses, like SARS-CoV-2, depend on their RNA-dependent RNA polymerases (RdRp) for replication, which is error-prone. Monitoring replication errors is crucial for understanding the virus’s evolution. Current methods lack the precision to detect rare de novo RNA mutations, particularly in low-input samples such as those from patients. Here, we introduce a new targeted Accurate RNA Consensus sequencing method (tARC-seq) to accurately determine the mutation frequency and types in SARS-CoV-2, both in cell culture and clinical samples. Our findings show an average of 2.68×10−5 new errors per cycle with a C>T bias that cannot be solely attributed to APOBEC …

Ligand Efficacy Modulates Conformational Dynamics Of The Μ-Opioid Receptor, Jiawei Zhao, Matthias Elgeti, Evan S O'Brien, Cecília P Sár, Amal Ei Daibani, Jie Heng, Xiaoou Sun, Elizabeth White, Tao Che, Wayne L Hubbell, Brian K Kobilka, Chunlai Chen

2020-Current year OA Pubs

The µ-opioid receptor (µOR) is an important target for pain management