Biomedical Informatics Commons^™

A Transgenic Mouse Model Of Down Syndrome Acute Lymphoblastic Leukemia Identifies Targetable Vulnerabilities, Jacob J Junco, Max Rochette, Michelle Alozie, Raushan Rashid, Maci Terrell, Barry Zorman, Pavel Sumazin, Lauren Rowland, Gino Dettorre, Reid T Powell, Clifford C Stephan, Peter J Davies, Margarita Martinez-Moczygemba, Jun J Yang, Karen R Rabin

Faculty, Staff and Students Publications

No abstract provided.

Efficacy Of Letermovir For Cytomegalovirus Prophylaxis Following Alemtuzumab T-Cell Depleted Allogeneic Hematopoietic Stem Cell Transplant, Ibrahim N Muhsen, Kristen E Shaver, Tao Wang, Mengfen Wu, Premal Lulla, Carlos A Ramos, Rammurti T Kamble, Helen E Heslop, George Carrum, Laquisa C Hill

Faculty, Staff and Students Publications

In vivo T-cell depletion (TCD) using alemtuzumab decreases the risk of Graft vs Host Disease (GvHD) in recipients of allogeneic hematopoietic stem cell transplant (allo-HSCT). However, this approach increases the risk of infections post-allo-HSCT, including Cytomegalovirus (CMV). Letermovir is approved for the use in CMV prophylaxis post-allo-HSCT. Few studies have investigated the efficacy of letermovir in patients receiving alemtuzumab. This is a single-center retrospective study describing our institutional experience using letermovir in recipients of alemtuzumab TCD allo-HSCT from unrelated donors (URD). The primary outcome was the cumulative incidence of significant CMV infection (defined as viremia leading to preemptive antiviral therapy …

Testosterone Acts Through The Membrane Protein Gprc6a To Cause Cardiac Edema In Zebrafish Embryos, Vahid Zadmajid, Shayan Shahriar, Daniel A Gorelick

Faculty, Staff and Students Publications

Androgens are classically thought to act through intracellular androgen receptors (AR/NR3C4), but they can also trigger non-genomic effects via membrane proteins. Although several membrane androgen receptors have been characterized in vitro, their functions in vivo remain unclear. Using a chemical-genetic screen in zebrafish, we found that GPRC6A, a G-protein-coupled receptor, mediates non-genomic androgen actions during embryonic development. Exposure to androgens (androstanedione, DHT and testosterone) caused cardiac edema or tail curvature in wild-type embryos, as well as in ar mutants, suggesting AR-independent pathways. We then mutated putative membrane androgen receptors [gprc6a, hcar1-4 and zip9 (slc39a9)] and found that only gprc6a mutants …

Experiences In Providing A Community Educational Resource For The All Of Us Researcher Workbench, Deborah I Ritter, Jinyoung Byun, Jun Wang, Stephen Richards, Pamela N Luna, Laterrica Williams, Julie R Coleman, Jasmine N Baker, Shamika Ketkar, Ashley M Butler, Latanya Hammonds-Odie, Elizabeth G Atkinson, Kim C Worley, Debra D Murray, Brendan Lee, Steven E Scherer

Faculty, Staff and Students Publications

OBJECTIVE: Educational offerings to fill the bioinformatics knowledge gap are a key component to enhancing access and use of health data from the All of Us Research Program. We developed a Train the Trainer-based, innovative training series including project-based learning, modular on-demand demonstrations, and unstructured tutorial time as a model for educational engagement in the All of Us community.

MATERIALS AND METHODS: We highlight our training modules and content, with training survey data informing cycles of development in the creation of a 6-module training series with modular demonstrations.

RESULTS: We have conducted 2 public iterations of the Train the Trainer …

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, …

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 …

Genotype-Specific Effects Of Elamipretide In Patients With Primary Mitochondrial Myopathy: A Post Hoc Analysis Of The Mmpower-3 Trial, Amel Karaa, Enrico Bertini, Valerio Carelli, Bruce Cohen, Gregory M Ennes, Marni J Falk, Amy Goldstein, Gráinne Gorman, Richard Haas, Michio Hirano, Thomas Klopstock, Mary Kay Koenig, Cornelia Kornblum, Costanza Lamperti, Anna Lehman, Nicola Longo, Maria Judit Molnar, Sumit Parikh, Han Phan, Robert D S Pitceathly, Russekk Saneto, Fernando Scaglia, Serenella Servidei, Mark Tarnopolsky, Antonio Toscano, Johan L K Van Hove, John Vissing, Jerry Vockley, Jeffrey S Finman, Anthony Abbruscato, David A Brown, Alana Sullivan, James A Shiffer, Michelango Mancuso, Mmpower-3 Trial Investigators

Faculty, Staff and Students Publications

BACKGROUND: As previously published, the MMPOWER-3 clinical trial did not demonstrate a significant benefit of elamipretide treatment in a genotypically diverse population of adults with primary mitochondrial myopathy (PMM). However, the prespecified subgroup of subjects with disease-causing nuclear DNA (nDNA) pathogenic variants receiving elamipretide experienced an improvement in the six-minute walk test (6MWT), while the cohort of subjects with mitochondrial DNA (mtDNA) pathogenic variants showed no difference versus placebo. These published findings prompted additional genotype-specific post hoc analyses of the MMPOWER-3 trial. Here, we present these analyses to further investigate the findings and to seek trends and commonalities among those …

Leveraging The T2t Assembly To Resolve Rare And Pathogenic Inversions In Reference Genome Gaps, Kristine Bilgrav Saether, Jesper Eisfeldt, Jesse D Bengtsson, Ming Yin Lun, Christopher M Grochowski, Medhat Mahmoud, Hsiao-Tuan Chao, Jill A Rosenfeld, Pengfei Liu, Marlene Ek, Jakob Schuy, Adam Ameur, Hongzheng Dai, Undiagnosed Diseases Network, James Paul Hwang, Fritz J Sedlazeck, Weimin Bi, Ronit Marom, Josephine Wincent, Ann Nordgren, Claudia M B Carvalho, Anna Lindstrand

Faculty, Staff and Students Publications

Chromosomal inversions (INVs) are particularly challenging to detect due to their copy-number neutral state and association with repetitive regions. Inversions represent about 1/20 of all balanced structural chromosome aberrations and can lead to disease by gene disruption or altering regulatory regions of dosage-sensitive genes in cis. Short-read genome sequencing (srGS) can only resolve ∼70% of cytogenetically visible inversions referred to clinical diagnostic laboratories, likely due to breakpoints in repetitive regions. Here, we study 12 inversions by long-read genome sequencing (lrGS) (n = 9) or srGS (n = 3) and resolve nine of them. In four cases, the …

High-Coverage Nanopore Sequencing Of Samples From The 1000 Genomes Project To Build A Comprehensive Catalog Of Human Genetic Variation, Jonas A Gustafson, Sophia B Gibson, Nikhita Damaraju, Miranda P G Zalusky, Kendra Hoekzema, David Twesigomwe, Lei Yang, Anthony A Snead, Phillip A Richmond, Wouter De Coster, Nathan D Olson, Andrea Guarracino, Qiuhui Li, Angela L Miller, Joy Goffena, Zachary B Anderson, Sophie H R Storz, Sydney A Ward, Maisha Sinha, Claudia Gonzaga-Jauregui, Wayne E Clarke, Anna O Basile, André Corvelo, Catherine Reeves, Adrienne Helland, Rajeeva Lochan Musunuri, Mahler Revsine, Karynne E Patterson, Cate R Paschal, Christina Zakarian, Sara Goodwin, Tanner D Jensen, Esther Robb, 1000 Genomes Ont Sequencing Consortium, University Of Washington Center For Rare Disease Research (Uw-Crdr), Genomics Research To Elucidate The Genetics Of Rare Diseases (Gregor) Consortium, William Richard Mccombie, Fritz J Sedlazeck, Justin M Zook, Stephen B Montgomery, Erik Garrison, Mikhail Kolmogorov, Michael C Schatz, Richard N Mclaughlin, Harriet Dashnow, Michael C Zody, Matt Loose, Miten Jain, Evan E Eichler, Danny E Miller

Faculty, Staff and Students Publications

Fewer than half of individuals with a suspected Mendelian or monogenic condition receive a precise molecular diagnosis after comprehensive clinical genetic testing. Improvements in data quality and costs have heightened interest in using long-read sequencing (LRS) to streamline clinical genomic testing, but the absence of control data sets for variant filtering and prioritization has made tertiary analysis of LRS data challenging. To address this, the 1000 Genomes Project (1KGP) Oxford Nanopore Technologies Sequencing Consortium aims to generate LRS data from at least 800 of the 1KGP samples. Our goal is to use LRS to identify a broader spectrum of variation …

Tumor-Associated Antigen Prediction Using A Single-Sample Gene Expression State Inference Algorithm, Xinpei Yi, Hongwei Zhao, Shunjie Hu, Liangqing Dong, Yongchao Dou, Jing Li, Qiang Gao, Bing Zhang

Faculty, Staff and Students Publications

We developed a Bayesian-based algorithm to infer gene expression states in individual samples and incorporated it into a workflow to identify tumor-associated antigens (TAAs) across 33 cancer types using RNA sequencing (RNA-seq) data from the Genotype-Tissue Expression (GTEx) and The Cancer Genome Atlas (TCGA). Our analysis identified 212 candidate TAAs, with 78 validated in independent RNA-seq datasets spanning seven cancer types. Eighteen of these TAAs were further corroborated by proteomics data, including 10 linked to liver cancer. We predicted that 38 peptides derived from these 10 TAAs would bind strongly to HLA-A02, the most common HLA allele. Experimental validation confirmed …

Sample Multiplexing For Retinal Single-Cell Rna Sequencing, Justin Ma, Ting-Kuan Chu, Maria Polo-Prieto, Yong H Park, Yumei Li, Rui Chen, Graeme Mardon, Benjamin J Frankfort, Nicholas M Tran

Faculty, Staff and Students Publications

Rare cell populations can be challenging to characterize using microfluidic single-cell RNA sequencing (scRNA-seq) platforms. Typically, the population of interest must be enriched and pooled from multiple biological specimens for efficient collection. However, these practices preclude the resolution of sample origin together with phenotypic data and are problematic in experiments in which biological or technical variation is expected to be high (e.g., disease models, genetic perturbation screens, or human samples). One solution is sample multiplexing whereby each sample is tagged with a unique sequence barcode that is resolved bioinformatically. We have established a scRNA-seq sample multiplexing pipeline for mouse retinal …

Evidence That Crispr-Cas9 Y537s-Mutant Expressing Breast Cancer Cells Activate Yes-Associated Protein 1 To Driving The Conversion Of Normal Fibroblasts Into Cancer-Associated Fibroblasts, Luca Gelsomino, Amanda Caruso, Emine Tasan, Adele Elisabetta Leonetti, Rocco Malivindi, Giuseppina Daniela Naimo, Francesca Giordano, Salvatore Panza, Guowei Gu, Benedetta Perrone, Cinzia Giordano, Loredana Mauro, Bruno Nardo, Gianfranco Filippelli, Daniela Bonofiglio, Ines Barone, Suzanne A W Fuqua, Stefania Catalano, Sebastiano Andò

Faculty, Staff and Students Publications

BACKGROUND: Endocrine therapy (ET) has improved the clinical outcomes of Estrogen receptor alpha-positive (ERɑ +) breast cancer (BC) patients, even though resistance to ET remains a clinical issue. Mutations in the hormone-binding domain of ERɑ represent an acquired intrinsic mechanism of ET resistance. However, the latter also depends on the multiple functional interactions between BC cells and the tumor microenvironment (TME). Here, we investigated how the most common Y537S-ERɑ mutation may influence the behavior of fibroblasts, the most prominent component of the TME.

METHODS: We conducted coculture experiments with normal human foreskin fibroblasts BJ1-hTERT (NFs), cancer-associated fibroblasts (CAFs), isolated from …

Long-Read Sequencing Of An Advanced Cancer Cohort Resolves Rearrangements, Unravels Haplotypes, And Reveals Methylation Landscapes, Kieran O'Neill, Erin Pleasance, Jeremy Fan, Vahid Akbari, Glenn Chang, Katherine Dixon, Veronika Csizmok, Signe Maclennan, Vanessa Porter, Andrew Galbraith, Cameron J Grisdale, Luka Culibrk, John H Dupuis, Richard Corbett, James Hopkins, Reanne Bowlby, Pawan Pandoh, Duane E Smailus, Dean Cheng, Tina Wong, Connor Frey, Yaoqing Shen, Eleanor Lewis, Luis F Paulin, Fritz J Sedlazeck, Jessica M T Nelson, Eric Chuah, Karen L Mungall, Richard A Moore, Robin Coope, Andrew J Mungall, Melissa K Mcconechy, Laura M Williamson, Kasmintan A Schrader, Stephen Yip, Marco A Marra, Janessa Laskin, Steven J M Jones

Faculty, Staff and Students Publications

The Long-Read Personalized OncoGenomics (POG) dataset comprises a cohort of 189 patient tumors and 41 matched normal samples sequenced using the Oxford Nanopore Technologies PromethION platform. This dataset from the POG program and the Marathon of Hope Cancer Centres Network includes DNA and RNA short-read sequence data, analytics, and clinical information. We show the potential of long-read sequencing for resolving complex cancer-related structural variants, viral integrations, and extrachromosomal circular DNA. Long-range phasing facilitates the discovery of allelically differentially methylated regions (aDMRs) and allele-specific expression, including recurrent aDMRs in the cancer genes RET and CDKN2A. Germline promoter methylation in MLH1 can …

Large-Scale Application Of Clingen-Insight Apc-Specific Acmg/Amp Variant Classification Criteria Leads To Substantial Reduction In Vus, Xiaoyu Yin, Marcy Richardson, Andreas Laner, Xuemei Shi, Elisabet Ognedal, Valeria Vasta, Thomas V O Hansen, Marta Pineda, Deborah Ritter, Johan De Dunnen, Emadeldin Hassanin, Wencong Lyman Lin, Ester Borras, Karl Krahn, Margareta Nordling, Alexandra Martins, Khalid Mahmood, Emily Nadeau, Victoria Beshay, Carli Tops, Maurizio Genuardi, Tina Pesaran, Ian M Frayling, Gabriel Capellá, Andrew Latchford, Sean V Tavtigian, Carlo Maj, Sharon E Plon, Marc S Greenblatt, Finlay A Macrae, Isabel Spier, Stefan Aretz

Faculty, Staff and Students Publications

Pathogenic constitutional APC variants underlie familial adenomatous polyposis, the most common hereditary gastrointestinal polyposis syndrome. To improve variant classification and resolve the interpretative challenges of variants of uncertain significance (VUSs), APC-specific variant classification criteria were developed by the ClinGen-InSiGHT Hereditary Colorectal Cancer/Polyposis Variant Curation Expert Panel (VCEP) based on the criteria of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology (ACMG/AMP). A streamlined algorithm using the APC-specific criteria was developed and applied to assess all APC variants in ClinVar and the International Society for Gastrointestinal Hereditary Tumours (InSiGHT) international reference APC Leiden Open Variation …

Brain Metastases In Sarcomas: A Multicenter Retrospective Cohort Study, Ellen Zhang, Sheima Farag, Hilary Dietz, Daniel Wang, Angela Hirbe, Kristen Ganjoo, Brian Van Tine, Shane Zaid, Aisha Miah, Vicki Keedy, Elizabeth Davis, Nam Bui

Faculty, Staff and Students Publications

Purpose: Brain metastases (BM) in sarcomas occur rarely and are associated with poor prognosis. This study is a large retrospective cohort describing the demographic and clinical characteristics of these patients, treatment strategies, and survival outcomes.

Methods: In total, 81 patients with BM from sarcomas were identified across five sarcoma centers. Demographic data, clinical presentation, and treatment modalities were analyzed.

Results: The most common histologies were leiomyosarcoma (12.3%) and undifferentiated pleomorphic sarcoma (12.3%). The median time from sarcoma diagnosis to brain metastases was 1.9 years. Upon presentation, 88.9% of patients with BM from sarcomas were symptomatic with the most common presenting …

Characterization Of Driver Mutations Identifies Gene Signatures Predictive Of Prognosis And Treatment Sensitivity In Multiple Myeloma, Jian-Rong Li, Abinand Krishna Parthasarathy, Aravind Singaram Kannappan, Shahram Arsang-Jang, Jing Dong, Chao Cheng

Faculty, Staff and Students Publications

In multiple myeloma (MM), while frequent mutations in driver genes are crucial for disease progression, they traditionally offer limited insights into patient prognosis. This study aims to enhance prognostic understanding in MM by analyzing pathway dysregulations in key cancer driver genes, thereby identifying actionable gene signatures. We conducted a detailed quantification of mutations and pathway dysregulations in 10 frequently mutated cancer driver genes in MM to characterize their comprehensive mutational impacts on the whole transcriptome. This was followed by a systematic survival analysis to identify significant gene signatures with enhanced prognostic value. Our systematic analysis highlighted 2 significant signatures, TP53 …

Loss-Of-Function In Rbbp5 Results In A Syndromic Neurodevelopmental Disorder Associated With Microcephaly, Yue Huang, Kristy L Jay, Alden Yen-Wen Huang, Jijun Wan, Sharayu V Jangam, Odelia Chorin, Annick Rothschild, Ortal Barel, Milena Mariani, Maria Iascone, Han Xue, Undiagnosed Diseases Network, Jing Huang, Cyril Mignot, Boris Keren, Virginie Saillour, Annelise Y Mah-Som, Stephanie Sacharow, Farrah Rajabi, Carrie Costin, Shinya Yamamoto, Oguz Kanca, Hugo J Bellen, Jill A Rosenfeld, Christina G S Palmer, Stanley F Nelson, Michael F Wangler, Julian A Martinez-Agosto

Faculty, Staff and Students Publications

PURPOSE: Epigenetic dysregulation has been associated with many inherited disorders. RBBP5 (HGNC:9888) encodes a core member of the protein complex that methylates histone 3 lysine-4 and has not been implicated in human disease.

METHODS: We identify 5 unrelated individuals with de novo heterozygous variants in RBBP5. Three nonsense/frameshift and 2 missense variants were identified in probands with neurodevelopmental symptoms, including global developmental delay, intellectual disability, microcephaly, and short stature. Here, we investigate the pathogenicity of the variants through protein structural analysis and transgenic Drosophila models.

RESULTS: Both missense p.(T232I) and p.(E296D) variants affect evolutionarily conserved amino acids located at the …

Xenomake: A Pipeline For Processing And Sorting Xenograft Reads From Spatial Transcriptomic Experiments, Benjamin S Strope, Katherine E Pendleton, William Z Bowie, Gloria V Echeverria, Qian Zhu

Faculty, Staff and Students Publications

SUMMARY: Xenograft models are attractive models that mimic human tumor biology and permit one to perturb the tumor microenvironment and study its drug response. Spatially resolved transcriptomics (SRT) provides a powerful way to study the organization of xenograft models, but currently there is a lack of specialized pipeline for processing xenograft reads originated from SRT experiments. Xenomake is a standalone pipeline for the automated handling of spatial xenograft reads. Xenomake handles read processing, alignment, xenograft read sorting, and connects well with downstream spatial analysis packages. We additionally show that Xenomake can correctly assign organism-specific reads, reduce sparsity of data by …

Pharmacogenomic Insights In Psychiatric Care: Uncovering Novel Actionability, Allele-Specific Cyp2d6 Copy Number Variation, And Phenoconversion In 15,000 Patients, Jai N Patel, Sarah A Morris, Raul Torres, Brooke Rhead, Chris Vlangos, Daniel J Mueller, Lisa C Brown, Hailey Lefkofsky, Muneer Ali, Francisco M De La Vega, Kathleen C Barnes, Anthony Zoghbi, Joseph D Stanton, Marcus A Badgeley

Faculty, Staff and Students Publications

Pharmacogenomic testing has emerged as an aid in clinical decision making for psychiatric providers, but more data is needed regarding its utility in clinical practice and potential impact on patient care. In this cross-sectional study, we determined the real-world prevalence of pharmacogenomic actionability in patients receiving psychiatric care. Potential actionability was based on the prevalence of CYP2C19 and CYP2D6 phenotypes, including CYP2D6 allele-specific copy number variations (CNVs). Combined actionability additionally incorporated CYP2D6 phenoconversion and the novel CYP2C-TG haplotype in patients with available medication data. Across 15,000 patients receiving clinical pharmacogenomic testing, 65% had potentially actionable CYP2D6 and CYP2C19 phenotypes, and …

Identification Of Single-Cell Blasts In Pediatric Acute Myeloid Leukemia Using An Autoencoder, Alice Driessen, Susanne Unger, An-Phi Nguyen, Rhonda E Ries, Soheil Meshinchi, Stefanie Kreutmair, Chiara Alberti, Pavel Sumazin, Richard Aplenc, Michele S Redell, Burkhard Becher, María Rodríguez Martínez

Faculty, Staff and Students Publications

Pediatric acute myeloid leukemia (AML) is an aggressive blood cancer with a poor prognosis and high relapse rate. Current challenges in the identification of immunotherapy targets arise from patient-specific blast immunophenotypes and their change during disease progression. To overcome this, we present a new computational research tool to rapidly identify malignant cells. We generated single-cell flow cytometry profiles of 21 pediatric AML patients with matched samples at diagnosis, remission, and relapse. We coupled a classifier to an autoencoder for anomaly detection and classified malignant blasts with 90% accuracy. Moreover, our method assigns a developmental stage to blasts at the single-cell …

Omnidirectional Wireless Power Transfer For Millimetric Magnetoelectric Biomedical Implants, Wei Wang, Zhanghao Yu, Yiwei Zou, Joshua E Woods, Prahalad Chari, Yumin Su, Jacob T Robinson, Kaiyuan Yang

Faculty, Staff and Students Publications

Miniature bioelectronic implants promise revolutionary therapies for cardiovascular and neurological disorders. Wireless power transfer (WPT) is a significant method for miniaturization, eliminating the need for bulky batteries in today’s devices. Despite successful demonstrations of millimetric battery-free implants in animal models, the robustness and efficiency of WPT are known to degrade significantly under misalignment incurred by body movements, respiration, heart beating, and limited control of implant orientation during surgery. This paper presents an omnidirectional WPT platform for millimetric bioelectronic implants, employing the emerging magnetoelectric (ME) WPT modality, and “magnetic field steering” technique based on multiple transmitter (TX) coils. To accurately sense …

Car-Redirected Natural Killer T Cells Demonstrate Superior Antitumor Activity To Car-T Cells Through Multimodal Cd1d-Dependent Mechanisms, Xin Zhou, Ying Wang, Zhangqi Dou, Gloria Delfanti, Ourania Tsahouridis, Caroline Marnata Pellegry, Manuela Zingarelli, Gatphan Atassi, Mark G Woodcock, Giulia Casorati, Paolo Dellabona, William Y Kim, Linjie Guo, Barbara Savoldo, Ageliki Tsagaratou, J Justin Milner, Leonid S Metelitsa, Gianpietro Dotti

Faculty, Staff and Students Publications

Human natural killer T (NKT) cells have been proposed as a promising cell platform for chimeric antigen receptor (CAR) therapy in solid tumors. Here we generated murine CAR-NKT cells and compared them with CAR-T cells in immune-competent mice. Both CAR-NKT cells and CAR-T cells showed similar antitumor effects in vitro, but CAR-NKT cells showed superior antitumor activity in vivo via CD1d-dependent immune responses in the tumor microenvironment. Specifically, we show that CAR-NKT cells eliminate CD1d-expressing M2-like macrophages. In addition, CAR-NKT cells promote epitope spreading and activation of endogenous T cell responses against tumor-associated neoantigens. Finally, we observed that CAR-NKT cells …

Identification Of Allele-Specific Kiv-2 Repeats And Impact On Lp(A) Measurements For Cardiovascular Disease Risk, Sairam Behera, Jonathan R Belyeu, Xiao Chen, Luis F Paulin, Ngoc Quynh H Nguyen, Emma Newman, Medhat Mahmoud, Vipin K Menon, Qibin Qi, Parag Joshi, Santica Marcovina, Massimiliano Rossi, Eric Roller, James Han, Vitor Onuchic, Christy L Avery, Christie M Ballantyne, Carlos J Rodriguez, Robert C Kaplan, Donna M Muzny, Ginger A Metcalf, Richard A Gibbs, Bing Yu, Eric Boerwinkle, Michael A Eberle, Fritz J Sedlazeck

Faculty, Staff and Students Publications

The abundance of Lp(a) protein holds significant implications for the risk of cardiovascular disease (CVD), which is directly impacted by the copy number (CN) of KIV-2, a 5.5 kbp sub-region. KIV-2 is highly polymorphic in the population and accurate analysis is challenging. In this study, we present the DRAGEN KIV-2 CN caller, which utilizes short reads. Data across 166 WGS show that the caller has high accuracy, compared to optical mapping and can further phase approximately 50% of the samples. We compared KIV-2 CN numbers to 24 previously postulated KIV-2 relevant SNVs, revealing that many are ineffective predictors of KIV-2 …

Native Mass Spectrometry Of Membrane Protein-Lipid Interactions In Different Detergent Environments, Smriti Kumar, Lauren Stover, Lie Wang, Hanieh Bahramimoghaddam, Ming Zhou, David H Russell, Arthur Laganowsky

Faculty, Staff and Students Publications

Native mass spectrometry (MS) reveals the role of specific lipids in modulating membrane protein structure and function. Membrane proteins solubilized in detergents are often introduced into the mass spectrometer. However, detergents commonly used for structural studies, such as dodecylmaltoside, tend to generate highly charged ions, leading to protein unfolding, thereby diminishing their utility in characterizing protein–lipid interactions. Thus, there is a critical need to develop approaches to investigate protein–lipid interactions in different detergents. Here, we demonstrate how charge-reducing molecules, such as spermine and trimethylamine-N-oxide, enable the opportunity to characterize lipid binding to the bacterial water channel (AqpZ) and …

The Giab Genomic Stratifications Resource For Human Reference Genomes, Nathan Dwarshuis, Divya Kalra, Jennifer Mcdaniel, Philippe Sanio, Pilar Alvarez Jerez, Bharati Jadhav, Wenyu Eddy Huang, Rajarshi Mondal, Ben Busby, Nathan D Olson, Fritz J Sedlazeck, Justin Wagner, Sina Majidian, Justin M Zook

Faculty, Staff and Students Publications

Despite the growing variety of sequencing and variant-calling tools, no workflow performs equally well across the entire human genome. Understanding context-dependent performance is critical for enabling researchers, clinicians, and developers to make informed tradeoffs when selecting sequencing hardware and software. Here we describe a set of “stratifications,” which are BED files that define distinct contexts throughout the genome. We define these for GRCh37/38 as well as the new T2T-CHM13 reference, adding many new hard-to-sequence regions which are critical for understanding performance as the field progresses. Specifically, we highlight the increase in hard-to-map and GC-rich stratifications in CHM13 relative to the …

Magnetoelectrics For Implantable Bioelectronics: Progress To Date, Fatima Alrashdan, Kaiyuan Yang, Jacob T Robinson

Faculty, Staff and Students Publications

The coupling of magnetic and electric properties manifested in magnetoelectric (ME) materials has unlocked numerous possibilities for advancing technologies like energy harvesting, memory devices, and medical technologies. Due to this unique coupling, the magnetic properties of these materials can be tuned by an electric field; conversely, their electric polarization can be manipulated through a magnetic field. Over the past seven years, our lab work has focused on leveraging these materials to engineer implantable bioelectronics for various neuromodulation applications. One of the main challenges for bioelectronics is to design miniaturized solutions that can be delivered with minimally invasive procedures and yet …

When Less Is More: Sketching With Minimizers In Genomics, Malick Ndiaye, Silvia Prieto-Baños, Lucy M Fitzgerald, Ali Yazdizadeh Kharrazi, Sergey Oreshkov, Christophe Dessimoz, Fritz J Sedlazeck, Natasha Glover, Sina Majidian

Faculty, Staff and Students Publications

The exponential increase in sequencing data calls for conceptual and computational advances to extract useful biological insights. One such advance, minimizers, allows for reducing the quantity of data handled while maintaining some of its key properties. We provide a basic introduction to minimizers, cover recent methodological developments, and review the diverse applications of minimizers to analyze genomic data, including de novo genome assembly, metagenomics, read alignment, read correction, and pangenomes. We also touch on alternative data sketching techniques including universal hitting sets, syncmers, or strobemers. Minimizers and their alternatives have rapidly become indispensable tools for handling vast amounts of data.

Stratomod: Predicting Sequencing And Variant Calling Errors With Interpretable Machine Learning, Nathan Dwarshuis, Peter Tonner, Nathan D Olson, Fritz J Sedlazeck, Justin Wagner, Justin M Zook

Faculty, Staff and Students Publications

Despite the variety in sequencing platforms, mappers, and variant callers, no single pipeline is optimal across the entire human genome. Therefore, developers, clinicians, and researchers need to make tradeoffs when designing pipelines for their application. Currently, assessing such tradeoffs relies on intuition about how a certain pipeline will perform in a given genomic context. We present StratoMod, which addresses this problem using an interpretable machine-learning classifier to predict germline variant calling errors in a data-driven manner. We show StratoMod can precisely predict recall using Hifi or Illumina and leverage StratoMod's interpretability to measure contributions from difficult-to-map and homopolymer regions for …

Mates: A Deep Learning-Based Model For Locus-Specific Quantification Of Transposable Elements In Single Cell, Ruohan Wang, Yumin Zheng, Zijian Zhang, Kailu Song, Erxi Wu, Xiaopeng Zhu, Tao P Wu, Jun Ding

Faculty, Staff and Students Publications

Transposable elements (TEs) are crucial for genetic diversity and gene regulation. Current single-cell quantification methods often align multi-mapping reads to either 'best-mapped' or 'random-mapped' locations and categorize them at the subfamily levels, overlooking the biological necessity for accurate, locus-specific TE quantification. Moreover, these existing methods are primarily designed for and focused on transcriptomics data, which restricts their adaptability to single-cell data of other modalities. To address these challenges, here we introduce MATES, a deep-learning approach that accurately allocates multi-mapping reads to specific loci of TEs, utilizing context from adjacent read alignments flanking the TE locus. When applied to diverse single-cell …

Larp1 Haploinsufficiency Is Associated With An Autosomal Dominant Neurodevelopmental Disorder, James Chettle, Raymond J Louie, Olivia Larner, Robert Best, Kevin Chen, Josephine Morris, Zinaida Dedeic, Anna Childers, R Curtis Rogers, Barbara R Dupont, Cindy Skinner, Sébastien Küry, Kevin Uguen, Marc Planes, Danielle Monteil, Megan Li, Aviva Eliyahu, Lior Greenbaum, Nofar Mor, Thomas Besnard, Bertrand Isidor, Benjamin Cogné, Alyssa Blesson, Anne Comi, Ingrid M Wentzensen, Blake Vuocolo, Seema R Lalani, Roberta Sierra, Lori Berry, Kent Carter, Stephan J Sanders, Sarah P Blagden

Faculty, Staff and Students Publications

Autism spectrum disorder (ASD) is a neurodevelopmental disorder (NDD) that affects approximately 4% of males and 1% of females in the United States. While causes of ASD are multi-factorial, single rare genetic variants contribute to around 20% of cases. Here, we report a case series of seven unrelated probands (6 males, 1 female) with ASD or another variable NDD phenotype attributed to de novo heterozygous loss of function or missense variants in the gene LARP1 (La ribonucleoprotein 1). LARP1 encodes an RNA-binding protein that post-transcriptionally regulates the stability and translation of thousands of mRNAs, including those regulating cellular metabolism and …