Digital Commons Network^™

Mechanism Of Dna Replication Fork Breakage And Parp1 Hyperactivation During Replication Catastrophe, Pedro Ortega, Elodie Bournique, Junyi Li, Ambrocio Sanchez, Gisselle Santiago, Brooke R Harris, Josefine Striepen, John Maciejowski, Abby M Green, Rémi Buisson

2020-Current year OA Pubs

Ataxia telangiectasia and Rad3-related (ATR) inhibition triggers a surge in origin firing, resulting in increased levels of single-stranded DNA (ssDNA) that rapidly deplete all available RPA. This leaves ssDNA unprotected and susceptible to breakage, a phenomenon known as replication catastrophe. However, the mechanism by which unprotected ssDNA breaks remains unclear. Here, we reveal that APOBEC3B is the key enzyme targeting unprotected ssDNA at replication forks, initiating a reaction cascade that induces fork collapse and poly(ADP-ribose) polymerase 1 (PARP1) hyperactivation. Mechanistically, we demonstrate that uracils generated by APOBEC3B at replication forks are removed by UNG2, resulting in abasic sites that are …

Multimeric Transcription Factor Bcl11a Utilizes Two Zinc-Finger Tandem Arrays To Bind Clustered Short Sequence Motifs, John R Horton, Meigen Yu, Jujun Zhou, Melody Tran, Rithvi R Anakal, Yue Lu, Robert M Blumenthal, Xiaotian Zhang, Yun Huang, Xing Zhang, Xiaodong Cheng

Faculty, Staff and Student Publications

BCL11A, a transcription factor, is vital for hematopoiesis, including B and T cell maturation and the fetal-to-adult hemoglobin switch. Mutations in BCL11A are linked to neurodevelopmental disorders. BCL11A contains two DNA-binding zinc-finger arrays, low-affinity ZF2-3 and high-affinity ZF4-6, separated by a 300-amino-acid linker. ZF2-3 and ZF4-5 share 73% identity, including five out of six DNA base-interacting residues. These arrays bind similar short sequence motifs in clusters, with the linker enabling a broader binding span. Crystallographic structures of ZF4-6, in complex with oligonucleotides from the β-globin locus region, reveal DNA sequence recognition by residues Asn756 (ZF4), Lys784 and Arg787 (ZF5). A …

Humanized Saccharomyces Cerevisiae Provides A Facile And Effective Tool To Identify Damaging Human Variants That Cause Exosomopathies, Khondakar Sayef Ahammed, Milo B Fasken, Anita H Corbett, Ambro Van Hoof

Faculty, Staff and Student Publications

The RNA exosome is an evolutionarily conserved, multiprotein complex that is the major RNase in 3' processing and degradation of a wide range of RNAs in eukaryotes. Single amino acid changes in RNA exosome subunits cause rare genetic diseases collectively called exosomopathies. However, distinguishing disease-causing variants from nonpathogenic ones remains challenging, and the mechanism by which these variants cause disease is largely unknown. Previous studies have employed a budding yeast model of RNA exosome-linked diseases that relies on mutating the orthologous yeast genes. Here, we develop a humanized yeast model of exosomopathies that allows us to unambiguously assess damaging effects …

A Nuclear Rna Degradation Code Is Recognized By Paxt For Eukaryotic Transcriptome Surveillance, Lindsey V Soles, Liang Liu, Xudong Zou, Yoseop Yoon, Shuangyu Li, Lusong Tian, Marielle Valdez, Angela M Yu, Hong Yin, Wei Li, Fangyuan Ding, Georg Seelig, Lei Li, Yongsheng Shi

Faculty, Staff and Students Publications

The RNA exosome plays critical roles in eukaryotic RNA degradation, but how it specifically recognizes its targets remains unclear. The poly(A) tail exosome targeting (PAXT) connection is a nuclear adaptor that recruits the exosome to polyadenylated RNAs, especially transcripts polyadenylated at intronic poly(A) sites. Here, we show that PAXT-mediated RNA degradation is induced by the combination of a 5' splice site (ss) and a poly(A) junction (PAJ) but not by either sequence alone. These sequences are bound by U1 small nuclear ribonucleoprotein particle (snRNP) and cleavage/polyadenylation factors, which, in turn, cooperatively recruit PAXT. As the 5' ss-PAJ combination is typically …

A Review Of Recent Studies On The Pathogenesis Of Systemic Sclerosis: Focus On Fibrosis Pathways, Sergio A. Jimenez, Fabian A. Mendoza, Sonsoles Piera-Velazquez

Scleroderma Center Faculty Papers

Systemic Sclerosis (SSc) is a systemic autoimmune disease of unknown etiology characterized by the development of frequently progressive cutaneous and internal organ fibrosis accompanied by severe vascular alterations. The pathogenesis of SSc is highly complex and, despite extensive investigation, has not been fully elucidated. Numerous studies have suggested that unknown etiologic factors cause multiple alterations in genetically receptive hosts, leading to SSc development and progression. These events may be functionally and pathologically interconnected and include: 1) Structural and functional microvascular and endothelial cell abnormalities; 2) Severe oxidative stress and high reactive oxygen species (3); Frequently progressive cutaneous and visceral fibrosis; …

Evolution Of The Tumor Immune Landscape During Treatment With Tebentafusp, A T Cell Receptor-Cd3 Bispecific, Joseph Sacco, Peter Kirk, Emma Leach, Alexander Shoushtari, Richard Carvajal, Camille Britton-Rivet, Sophie Khakoo, Laura Collins, Luis De La Cruz-Merino, Zeynep Eroglu, Alexandra Ikeguchi, Paul Nathan, Omid Hamid, Marcus Butler, Sarah Stanhope, Koustubh Ranade, Takami Sato

Department of Medical Oncology Faculty Papers

Metastatic uveal melanoma is an aggressive disease with poor outcome, which is refractory to immune checkpoint inhibitors. A T cell receptor (TCR)-based CD3 bispecific, tebentafusp, delivers clinical benefit in patients with metastatic uveal melanoma. Understanding the molecular basis for the anti-tumor activity of tebentafusp in an indication where checkpoint inhibitors are ineffective could aid in identification of other solid tumor indications where CD3 bispecifics may serve an unmet need. By analyzing tumor biopsies taken prior to treatment, early on-treatment, and at progression (NCT02570308), using RNA sequencing (RNA-seq) and immunohistochemistry (IHC), we show that expression of interferon-related genes in the tumor …

Plasma Proteomic Biomarkers Of Physical Frailty In Heart Failure: A Propensity Score Matched Discovery-Based Pilot Study, Quin Denfeld, Noelle Pavlovic, Christopher Lee, Jon Jacobs, Mary Roberts Davis, Samantha Powell, Marina Gritsenko, Susan Joseph, Beth Habecker

Division of Cardiology Faculty Papers

BACKGROUND: Physical frailty is highly prevalent in heart failure (HF), but we lack an understanding of the underlying pathophysiology. Proteomic evaluation of plasma samples may elucidate potential mechanisms and biomarkers of physical frailty in HF.

OBJECTIVES: We aimed to identify plasma proteomic biomarkers that are differentially expressed between physically frail and non-physically frail adults with HF.

METHODS: This was a secondary analysis of a subset of data and plasma samples from a study of frailty among patients with New York Heart Association (NYHA) Functional Classification I-IV HF. Physical frailty was measured using the Frailty Phenotype Criteria. Propensity score matching was …

Volumetric Changes In Cerebellar Transverse Zones: Age And Sex Effects In Health And Neurological Disorders, Farshid Ghiyamihoor, Payam Paymani, Jarrad Perron, Azam Asemi-Rad, Mehdi Marzban, Aashka Mohite, Karen Ardila, Bara Aljada, Asghar Marzban, Mehnosh Toback, Sherif Eltonsy, Ji Hyun Ko, Tabrez J Siddiqui, Christopher J Steele, Jiming Kong, Mario Manto, M Ethan Macdonald, Jason S Gill, Roy V Sillitoe, Fuat Balcı, Iman Beheshti, Hassan Marzban

Duncan NRI Faculty and Staff Publications

Cerebellar volumetric changes are intricately linked to aging, with distinct patterns across its transverse zones, the functional subdivisions characterized by unique cytoarchitectural and connectivity profiles. Despite research efforts, the cerebellar aging process in health and neurological disorders remains poorly understood. In this study, we investigated the effects of age and sex on total cerebellum, transverse zone, and lobule volumes using MRI data from over 45,000 participants compiled from six neuroimaging datasets. We also propose a framework for estimating cerebellum age as an indicator of cerebellar health. Significant age‐dependent volume reductions were observed across transverse zones, with the …

Comprehensive Assessment Of Initial Adaptation Of Extended-Spectrum Β-Lactamase-Positive St131 Escherichia Coli To Carbapenem Exposure, William C Shropshire, Xinhao Song, Jordan Bremer, Seokju Seo, Susana Rodriguez, Selvalakshmi Selvaraj Anand, An Q Dinh, Micah M Bhatti, Anna Konovalova, Cesar A Arias, Awdhesh Kalia, Yousif Shamoo, Samuel A Shelburne

Faculty, Staff and Student Publications

Background: It remains unclear how high-risk Escherichia coli lineages, like sequence type (ST) 131, initially adapt to carbapenem exposure in their progression to carbapenem resistance.

Methods: Carbapenem mutation frequency was measured in multiple subclades of extended-spectrum β-lactamase (ESBL)-positive ST131 clinical isolates using a fluctuation assay followed by whole genome sequencing (WGS) characterization. Genomic, transcriptomic, and porin analyses of the ST131 C2/H30Rx isolate MB1860, under prolonged, increasing carbapenem exposure was performed using 2 experimental evolutionary platforms to measure fast versus slow adaptation.

Results: All 13 ESBL-positive ST131 strains selected from a diverse (n = 184) ST131 bacteremia cohort had detectable ertapenem …

Integrated Analysis Of Molecular And Clinical Features Associated With Overall Survival In Melanoma Patients With Brain Metastasis, Swaminathan Kumar, Meredith S Pelster, Merve Hasanov, Renato A Guerrieri, Courtney W Hudgens, Debora A Ledesma, Fuchenchu Wang, Grant M Fischer, Julie M Simon, Lauren E Haydu, Kalman V Katlowitz, Y N Vashisht Gopal, Jennifer L Mcquade, Lawrence N Kwong, Jason T Huse, Alexander J Lazar, Michael T Tetzlaff, Jeffrey E Gershenwald, Aron Y Joon, Ken Chen, Ziyi Li, Prahlad T Ram, Sherise D Ferguson, Michael A Davies

Faculty, Staff and Student Publications

Melanoma brain metastases (MBMs) are diagnosed in up to 60% of metastatic melanoma patients. Previous studies have identified clinical factors that correlate with overall survival (OS) after MBM diagnosis. However, molecular and immune features associated with OS are poorly understood. An improved understanding of the molecular and immune correlates of OS could provide insights into MBM patient outcomes and guide therapeutic development. Thus, we analyzed clinical features and outcomes of 74 melanoma patients who underwent surgical resection (via craniotomy) between 1991 and 2015 at our institution with RNA-seq data generated from their MBMs. The median post-operative OS was 8.6 months …

Single-Cell Analyses Reveal A Functionally Heterogeneous Exhausted Cd8+ T-Cell Subpopulation That Is Correlated With Response To Checkpoint Therapy In Melanoma, Kelly M Mahuron, Osmaan Shahid, Prachi Sao, Clinton Wu, Alexandra M Haugh, Laura A Huppert, Lauren S Levine, Margaret M Lowe, Michael Alvarado, Markee Micu, Katy K Tsai, Melissa Chow, Meromit Singer, Jason M Schenkel, Arlene H Sharpe, Michael D Rosenblum, Kristen E Pauken, Adil I Daud

Faculty, Staff and Student Publications

PD-1 pathway inhibitors have revolutionized cancer therapy. However, most patients do not durably benefit, highlighting the need for biomarkers to stratify patients as responders or nonresponders. Although CD8+ tumor-infiltrating lymphocytes (TIL) have been associated with immune checkpoint therapy response, there is no consensus on which CD8+ TIL subpopulations have the most prognostic value. Preclinical studies have focused on progenitor-like exhausted CD8+ T cells (TPEX) because TPEX proliferate more in response to PD-1 inhibitors than other exhausted T-cell (TEX) subpopulations. However, immune checkpoint inhibitor treatment drives TPEX differentiation into other TEX populations that can mediate antitumor immunity. These data complicate the …

Mri Distance Measures As A Predictor Of Subsequent Clinical Status During The Preclinical Phase Of Alzheimer's Disease And Related Disorders, Xinyi Zhang, John C Morris, Tammie L S Benzinger, Et Al.

2020-Current year OA Pubs

Brain atrophy over time, as measured by magnetic resonance imaging (MRI), has been shown to predict subsequent cognitive impairment among individuals who were cognitively normal when first evaluated, indicating that subtle brain atrophy associated with Alzheimer's disease (AD) may begin years before clinical symptoms appear. Traditionally, atrophy has been quantified by differences in brain volume or thickness over a specified timeframe. Research indicates that the rate of atrophy varies across different brain regions, which themselves exhibit complex spatial and hierarchical organizations. These characteristics collectively emphasize the need for diverse summary measures that can effectively capture the multidimensional nature of degeneration. …

Lineage Tracing And Single-Cell Rna Sequencing Reveal A Common Transcriptional State In Breast Cancer Tumor-Initiating Cells Characterized By Ifn/Stat1 Activity, Eric P Souto, Ping Gong, John D Landua, Ramakrishnan Rajaram Srinivasan, Abhinaya Ganesan, Lacey E Dobrolecki, Stephen C Purdy, Xingxin Pan, Michael Zeosky, Anna Chung, S Stephen Yi, Heide L Ford, Michael T Lewis

Faculty, Staff and Students Publications

A tumor cell subpopulation of tumor-initiating cells (TIC) or "cancer stem cells" is associated with therapeutic resistance, as well as both local and distant recurrences. Signal transducer and activator of transcription (STAT) activity is elevated in TICs in claudin-low models of human triple-negative breast cancer, which enables enrichment of TICs using a STAT-responsive reporter. Lineage tracing of TICs as they undergo cell state changes could enable a better understanding of the molecular phenotypes of TIC and uncover strategies to selectively target TICs. In this study, we developed a STAT-responsive lineage-tracing system and used it in conjunction with the original reporter …

Distinguishing Multisystem Inflammatory Syndrome In Children From Typhus Using Artificial Intelligence: Mis-C Versus Endemic Typhus (Ai-Met), Angela Chun, Abraham Bautista-Castillo, Isabella Osuna, Kristiana Nasto, Flor M Munoz, Gordon E Schutze, Sridevi Devaraj, Eyal Muscal, Marietta M De Guzman, Kristen Sexson Tejtel, Tiphanie P Vogel, Ioannis A Kakadiaris

Faculty, Staff and Students Publications

Background: The pandemic emergent disease multisystem inflammatory syndrome in children (MIS-C) following coronavirus disease-19 infection can mimic endemic typhus. We aimed to use artificial intelligence (AI) to develop a clinical decision support system that accurately distinguishes MIS-C versus endemic typhus (MET).

Methods: Demographic, clinical, and laboratory features rapidly available following presentation were extracted for 133 patients with MIS-C and 87 patients hospitalized due to typhus. An attention module assigned importance to inputs used to create the 2-phase AI-MET. Phase 1 uses 17 features to arrive at a classification manually (MET-17). If the confidence level is not surpassed, 13 additional features …

Synapsin Condensation Is Governed By Sequence-Encoded Molecular Grammars, Christian Hoffmann, Kiersten M Ruff, Irina A Edu, Min Kyung Shinn, Johannes V Tromm, Matthew R King, Avnika Pant, Hannes Ausserwöger, Jennifer R Morgan, Tuomas P J Knowles, Rohit V Pappu, Dragomir Milovanovic

2020-Current year OA Pubs

Multiple biomolecular condensates coexist at the pre- and post- synapse to enable vesicle dynamics and controlled neurotransmitter release in the brain. In pre-synapses, intrinsically disordered regions (IDRs) of synaptic proteins are drivers of condensation that enable clustering of synaptic vesicles (SVs). Using computational analysis, we show that the IDRs of SV proteins feature evolutionarily conserved non-random compositional biases and sequence patterns. Synapsin-1 is essential for condensation of SVs, and its C-terminal IDR has been shown to be a key driver of condensation. Focusing on this IDR, we dissected the contributions of two conserved features namely the segregation of polar and …

Immunotherapeutic Strategies In Head And Neck Cancer: Challenges And Opportunities, Xia Liu, R. Alex Harbison, Mark A. Varvares, Sidharth V. Puram, Guangyong Peng

2020-Current year OA Pubs

HNSCC remains a substantial health issue, with treatment options including surgery, radiation, and platinum-based chemotherapy. Unfortunately, despite progress in research, only modest gains have been made in disease control, with existing treatments resulting in significant functional and quality-of-life issues. The introduction of immunotherapy in the treatment of HNSCC has resulted in some improvements in outlook for patients and is now standard of care for populations with both recurrent and metastatic disease. However, despite the early successes, responses to immune checkpoint inhibition (ICI) remain modest to low, approaching 14%-22% objective response rates. Challenges to the effectiveness of ICI and other immunotherapies …

Atm-Dependent Dna Damage Response Constrains Cell Growth And Drives Clonal Hematopoiesis In Telomere Biology Disorders, Christopher M. Sande, Karolyn A. Oetjen, Daniel C. Link, Andrew E. Gelman, Laneshia K. Tague, Et Al.

2020-Current year OA Pubs

Telomere biology disorders (TBDs) are genetic diseases caused by defective telomere maintenance. TBD patients often develop bone marrow failure and have an increased risk of myeloid neoplasms. To better understand the factors underlying hematopoietic outcomes in TBD, we comprehensively evaluated acquired genetic alterations in hematopoietic cells from 166 pediatric and adult TBD patients. Of these patients, 47.6% (28.8% of children, 56.1% of adults) had clonal hematopoiesis. Recurrent somatic alterations involved telomere maintenance genes (7.6%), spliceosome genes (10.4%, mainly U2AF1 p.S34), and chromosomal alterations (20.2%), including 1q gain (5.9%). Somatic variants affecting the DNA damage response (DDR) were identified in 21.5% …

Association Between High Triglyceride-Glucose Index And Macce In Hypertriglyceridemia Patients Undergoing Percutaneous Coronary Intervention, Yichuan Wang, Yanfeng Lu, Shanshan Gao, Zhong Zhong, Jasmine Bao, Bo Liu, Ruihan Fan, Ning Guo

SKMC Student Presentations and Publications

BACKGROUND: With a focus on metabolism-related cardiovascular diseases, the triglyceride-glucose (TyG) index has been used as a surrogate marker of insulin resistance in the prognosis of coronary heart disease. However, the prognostic role of the TyG index in patients with elevated triglycerides, still requires further research. This study aimed to investigate the association between the TyG index and Major Adverse Cardiac and Cerebrovascular Events (MACCE) in patients with hypertriglyceridemia undergoing drug-eluting stent percutaneous coronary intervention (DES-PCI).

METHODS: Out of 2250 patients, 813 with hypertriglyceridemia who underwent DES-PCI were retrospectively analyzed. MACCE was regarded as the primary endpoint. Kaplan-Meier (KM) curves …

Germline Pathogenic Drosha Variants Are Linked To Pineoblastoma And Wilms Tumor Predisposition, Peter N Fiorica, Lisa Golmard, Jung Kim, Riyue Bao, Frank Y Lin, Angshumoy Roy, Allison Pribnow, Melissa R Perrino, Julien Masliah-Planchon, Sophie Michalak-Provost, Jennifer Wong, Mathilde Filser, Dominique Stoppa-Lyonnet, Franck Bourdeaut, Afane Brahimi, Olivier Ingster, Giselle Saulnier Sholler, Sarah A Jackson, Mark M Sasaki, Trent Fowler, Anita Ng, Ryan J Corbett, Rebecca S Kaufman, Jeremy S Haley, David J Carey, Kuan-Lin Huang, Sharon J Diskin, Jo Lynne Rokita, Hussam Al-Kateb, Rose B Mcgee, Joshua D Schiffman, Kenneth S Chen, Douglas R Stewart, D Williams Parsons, Sharon E Plon, Kris Ann P Schultz, Kenan Onel

Center for Medical Ethics and Health Policy Staff Publications

Purpose: DROSHA, DGCR8, and DICER1 regulate miRNA biogenesis and are commonly mutated in cancer. Although DGCR8 and DICER1 germline pathogenic variants (GPV) cause autosomal dominant tumor predisposition, no association between DROSHA GPVs and clinical phenotypes has been reported.

Experimental design: After obtaining informed consent, sequencing was performed on germline and tumor samples from all patients. The occurrence of germline DROSHA GPVs was investigated in large pediatric and adult cancer datasets. The population prevalence of DROSHA GPVs was investigated in the UK Biobank and Geisinger DiscovEHR cohorts.

Results: We describe nine children from eight families with heterozygous DROSHA GPVs and a …

Bi-Allelic Variants In Brf2 Are Associated With Perinatal Death And Craniofacial Anomalies., Francesca Mattioli, Rún Friðriksdóttir, Anne Hebert, Sissy Bassani, Nazia Ibrahim, Shagufta Naz, Jacqueline Chrast, Clara Pailler-Pradeau, Ásmundur Oddsson, Patrick Sulem, Gisli H. Halldorsson, Páll Melsted, Daníel F. Guðbjartsson, Flavia Palombo, Tommaso Pippucci, Nayereh Nouri, Marco Seri, Emily G. Farrow, Carol J. Saunders, Nicolas Guex, Muhammad Ansar, Kari Stefansson, Alexandre Reymond

Manuscripts, Articles, Book Chapters and Other Papers

BACKGROUND: Variants in genes encoding multiple subunits of the RNA Polymerase III complex which synthesizes rRNAs, tRNAs, and other small RNAs were previously associated with neurological disorders, such as syndromic hypomyelination leukodystrophies, pontocerebellar hypoplasia, and cerebellofaciodental syndrome. One new such candidate is BRF2, which encodes a TFIIB-like factor that recruits the RNA polymerase III complex to type 3 promoters to initiate transcription of U6, RnaseP, and 7SK RNAs.

METHODS: We combined sequencing with functional analyses to investigate the effects of BRF2 variants.

RESULTS: We observe that a previously reported significant underrepresentation of double transmission of a splice variant results in …

Long-Read Single-Cell Rna Sequencing Enables The Study Of Cancer Subclone-Specific Genotypes And Phenotypes In Chronic Lymphocytic Leukemia, Gage S Black, Xiaomeng Huang, Yi Qiao, Philip Moos, Deepa Sampath, Deborah M Stephens, Jennifer A Woyach, Gabor T Marth

Faculty, Staff and Student Publications

Bruton tyrosine kinase (BTK) inhibitors are effective for the treatment of chronic lymphocytic leukemia (CLL) due to BTK's role in B cell survival and proliferation. Treatment resistance is most commonly caused by the emergence of the hallmark BTKC481S mutation that inhibits drug binding. In this study, we aimed to investigate cancer subclones harboring a BTKC481S mutation and identify cells with co-occurring CLL driver mutations. In addition, we sought to determine whether BTK-mutated subclones exhibit distinct transcriptomic behavior when compared to other cancer subclones. To achieve these goals, we use scBayes, which integrates bulk DNA sequencing and single-cell …

Results Of The Phase I/Ii Study And Preliminary B-Cell Gene Signature Of Combined Inhibition Of Glutamine Metabolism And Egfr In Colorectal Cancer, Kristen K Ciombor, Seong-Woo Bae, Jennifer G Whisenant, Gregory D Ayers, Quanhu Sheng, Todd E Peterson, Gary T Smith, Kangyu Lin, Saikat Chowdhury, Preeti Kanikarla Marie, Alexey Sorokin, Allison S Cohen, Laura W Goff, Dana B Cardin, John Paul Shen, Scott Kopetz, Cathy Eng, Yu Shyr, Jordan Berlin, H Charles Manning

Faculty, Staff and Student Publications

Purpose: EGFR-targeting mAbs are essential for managing rat sarcoma virus wild-type metastatic colorectal cancer (mCRC), but their limited efficacy necessitates exploring immunologic and metabolic factors influencing response. This study evaluated glutamine metabolism targeting with EGFR inhibition to identify response biomarkers in patients with prior anti-EGFR treatment progression.

Patients and methods: We conducted a phase I/II trial in patients with KRAS wild-type mCRC, combining panitumumab (6 mg/kg) and CB-839 (600 mg/kg or 800 mg/kg), hypothesizing that the dual inhibition of glutamine metabolism and MAPK signaling would enhance outcomes. As study correlatives, we investigated the B-cell activation signature "B-score" and glutamine PET …

Closing The Gaps, And Improving Somatic Structural Variant Analysis And Benchmarking Using Chm13-T2t, Luis F Paulin, Jeremy Fan, Kieran O'Neill, Erin Pleasance, Vanessa L Porter, Steven J M Jones, Fritz J Sedlazeck

Faculty, Staff and Students Publications

The complexities of cancer genomes are becoming more easily interpreted due to advancements in sequencing technologies and improved bioinformatic analysis. Structural variants (SVs) represent an important subset of somatic events in tumors. While the detection of SVs has been markedly improved by the development of long-read sequencing, somatic variant identification and annotation remain challenging. We hypothesized that the use of a completed human reference genome (CHM13-T2T) would improve somatic SV calling. Our findings in a tumor-normal matched benchmark sample and three patient samples show that the CHM13-T2T improves SV detection accuracy compared to GRCh38 with a notable reduction in false-positive …

Update On Cancer And Central Nervous System Tumor Surveillance In Pediatric Nf2-, Smarcb1-, And Lztr1-Related Schwannomatosis, Melissa R Perrino, Marjolijn C J Jongmans, Gail E Tomlinson, Mary-Louise C Greer, Sarah R Scollon, Sarah G Mitchell, Jordan R Hansford, Kris Ann P Schultz, Wendy K Kohlmann, Jennifer M Kalish, Suzanne P Macfarland, Anirban Das, Kara N Maxwell, Stefan M Pfister, Rosanna Weksberg, Orli Michaeli, Uri Tabori, Gina M Ney, Philip J Lupo, Jack J Brzezinski, Douglas R Stewart, Emma R Woodward, Christian P Kratz

Faculty, Staff and Students Publications

Schwannomatosis (SWN) is a distinct cancer predisposition syndrome caused by germline pathogenic variants in the genes NF2, SMARCB1, or LZTR1. There is a significant clinical overlap between these syndromes with the hallmark of increased risk for cranial, spinal, and peripheral schwannomas. Neurofibromatosis type 2 was recently renamed as NF2-related SWN and is the most common SWN syndrome, with increased risk for bilateral vestibular schwannomas, intradermal schwannomas, meningiomas, and less commonly, ependymoma. SMARCB1-related SWN is a familial SWN syndrome associated with peripheral and spinal schwannomas and an increased risk for meningiomas and malignant peripheral nerve sheath tumors, even in the absence …

A Hitchhiker’S Guide To Long-Read Genomic Analysis, Medhat Mahmoud, Daniel P Agustinho, Fritz J Sedlazeck

Faculty, Staff and Students Publications

Over the past decade, long-read sequencing has evolved into a pivotal technology for uncovering the hidden and complex regions of the genome. Significant cost efficiency, scalability, and accuracy advancements have driven this evolution. Concurrently, novel analytical methods have emerged to harness the full potential of long reads. These advancements have enabled milestones such as the first fully completed human genome, enhanced identification and understanding of complex genomic variants, and deeper insights into the interplay between epigenetics and genomic variation. This mini-review provides a comprehensive overview of the latest developments in long-read DNA sequencing analysis, encompassing reference-based and de novo assembly …

Unraveling The Hidden Complexity Of Cancer Through Long-Read Sequencing, Qiuhui Li, Ayse G Keskus, Justin Wagner, Michal B Izydorczyk, Winston Timp, Fritz J Sedlazeck, Alison P Klein, Justin M Zook, Mikhail Kolmogorov, Michael C Schatz

Faculty, Staff and Students Publications

Cancer is fundamentally a disease of the genome, characterized by extensive genomic, transcriptomic, and epigenomic alterations. Most current studies predominantly use short-read sequencing, gene panels, or microarrays to explore these alterations; however, these technologies can systematically miss or misrepresent certain types of alterations, especially structural variants, complex rearrangements, and alterations within repetitive regions. Long-read sequencing is rapidly emerging as a transformative technology for cancer research by providing a comprehensive view across the genome, transcriptome, and epigenome, including the ability to detect alterations that previous technologies have overlooked. In this Perspective, we explore the current applications of long-read sequencing for both …

Proteogenomic Characterization Of Non-Functional Pancreatic Neuroendocrine Tumors Unravels Clinically Relevant Subgroups, Shunrong Ji, Lihua Cao, Jing Gao, Yang Du, Zeng Ye, Xin Lou, Fen Liu, Yehan Zhang, Junfeng Xu, Xiaohan Shi, Huan Wang, Penghao Li, Yikai Li, Hongxu Chen, Zhicheng Yang, Suizhi Gao, Wuhu Zhang, Dan Huang, Shujuan Ni, Miaoyan Wei, Fei Wang, Yan Wang, Tian Ding, Desheng Jing, Guixiong Fan, Zhiyun Gong, Renquan Lu, Yi Qin, Jie Chen, Xiaowu Xu, Pei Wang, Bing Zhang, Li Ding, Ana I Robles, Henry Rodriguez, David K Chang, Ralph H Hruban, Dong Gao, Daming Gao, Gang Jin, Hu Zhou, Jianmin Wu, Xianjun Yu

Faculty, Staff and Students Publications

The majority of neuroendocrine neoplasms in pancreas are non-functional pancreatic neuroendocrine tumors (NF-PanNETs), which exhibit a high occurrence of distant metastases with limited therapeutic options. Here, we perform a comprehensive molecular characterization of 108 NF-PanNETs through integrative analysis of genomic, transcriptomic, proteomic, and phosphoproteomic profiles. Proteogenomic analysis provides functional insights into the genomic driver alterations of NF-PanNETs, revealing a potential mediator of MEN1 alterations using Men1-conditional knockout mice. Machine-learning-based modeling uncovers a three-protein signature as an independent prognostic factor, which is validated by an independent external cohort. Proteomic and phosphoproteomic-based stratification identifies four subtypes with distinct molecular characteristics, immune microenvironments, …

Pilot First-In-Human Ccr2 Pet/Ct To Detect Abdominal Aortic Aneurysm Wall Instability, Santiago Elizondo-Benedetto, Deborah Sultan, Ryan Wahidi, Mahdjoub Hamdi, Mohamed S Zaghloul, Shahab Hafezi, Batool Arif, Laura K Mcdonald, Kitty Harrison, Dakkota Thies, Gyu Seong Heo, Hannah Luehmann, Lisa Detering, J Westley Ohman, Zachary J Wanken, Luis A Sanchez, Joseph E Ippolito, Jie Zheng, Robert J Gropler, Richard Laforest, Yongjian Liu, Mohamed A Zayed

2020-Current year OA Pubs

No abstract provided.

Large-Scale Multi-Omics Analyses In Hispanic/Latino Populations Identify Genes For Cardiometabolic Traits, Lauren E Petty, Hung-Hsin Chen, Elizabeth G Frankel, Wanying Zhu, Carolina G Downie, Mariaelisa Graff, Phillip Lin, Priya Sharma, Xinruo Zhang, Alyssa C Scartozzi, Rashedeh Roshani, Joshua M Landman, Michael Boehnke, Donald W Bowden, John C Chambers, Anubha Mahajan, Mark I Mccarthy, Maggie C Y Ng, Xueling Sim, Cassandra N Spracklen, Weihua Zhang, Michael Preuss, Erwin P Bottinger, Girish N Nadkarni, Ruth J F Loos, Yii-Der Ida Chen, Jingyi Tan, Eli Ipp, Pauline Genter, Leslie S Emery, Tin Louie, Tamar Sofer, Adrienne M Stilp, Kent D Taylor, Anny H Xiang, Thomas A Buchanan, Kathryn Roll, Chuan Gao, Nicholette D Palmer, Jill M Norris, Lynne E Wagenknecht, Darryl Nousome, Rohit Varma, Roberta Mckean-Cowdin, Xiuqing Guo, Yang Hai, Willa Hsueh, Kevin Sandow, Esteban J Parra, Miguel Cruz, Adan Valladares-Salgado, Niels Wacher-Rodarte, Jerome I Rotter, Mark O Goodarzi, Stephen S Rich, Alain Bertoni, Leslie J Raffel, Jerry L Nadler, Fouad R Kandeel, Ravindranath Duggirala, John Blangero, Donna M Lehman, Ralph A Defronzo, Farook Thameem, Yujie Wang, Sheila Gahagan, Estela Blanco, Raquel Burrows, Alicia Huerta-Chagoya, Jose C Florez, Teresa Tusie-Luna, Clicerio González-Villalpando, Lorena Orozco, Christopher A Haiman, Craig L Hanis, Rebecca Rohde, Eric A Whitsel, Alexander P Reiner, Charles Kooperberg, Yun Li, Qing Duan, Miryoung Lee, Paulina Correa-Burrows, Susan K Fried, Kari E North, Joseph B Mccormick, Susan P Fisher-Hoch, Eric R Gamazon, Andrew P Morris, Josep M Mercader, Heather M Highland, Jennifer E Below

Faculty, Staff and Student Publications

Here, we present a multi-omics study of type 2 diabetes and quantitative blood lipid and lipoprotein traits conducted to date in Hispanic/Latino populations (nmax = 63,184). We conduct a meta-analysis of 16 type 2 diabetes and 19 lipid trait GWAS, identifying 20 genome-wide significant loci for type 2 diabetes, including one novel locus and novel signals at two known loci, based on fine-mapping. We also identify sixty-one genome-wide significant loci across the lipid/lipoprotein traits, including nine novel loci, and novel signals at 19 known loci through fine-mapping. Next, we analyze genetically regulated expression, perform Mendelian randomization, and analyze association with …

Whole Genome Sequencing Analysis Of Body Mass Index Identifies Novel African Ancestry-Specific Risk Allele, Xinruo Zhang, Jennifer A Brody, Mariaelisa Graff, Heather M Highland, Nathalie Chami, Hanfei Xu, Zhe Wang, Kendra R Ferrier, Geetha Chittoor, Navya Shilpa Josyula, Mariah Meyer, Shreyash Gupta, Xihao Li, Zilin Li, Matthew A Allison, Diane M Becker, Lawrence F Bielak, Joshua C Bis, Meher Preethi Boorgula, Donald W Bowden, Jai G Broome, Erin J Buth, Christopher S Carlson, Kyong-Mi Chang, Sameer Chavan, Yen-Feng Chiu, Lee-Ming Chuang, Matthew P Conomos, Dawn L Demeo, Mengmeng Du, Ravindranath Duggirala, Celeste Eng, Alison E Fohner, Barry I Freedman, Melanie E Garrett, Xiuqing Guo, Chris Haiman, Benjamin D Heavner, Bertha Hidalgo, James E Hixson, Yuk-Lam Ho, Brian D Hobbs, Donglei Hu, Qin Hui, Chii-Min Hwu, Rebecca D Jackson, Deepti Jain, Rita R Kalyani, Sharon L R Kardia, Tanika N Kelly, Ethan M Lange, Michael Lenoir, Changwei Li, Loic Le Marchand, Merry-Lynn N Mcdonald, Caitlin P Mchugh, Alanna C Morrison, Take Naseri, Jeffrey O'Connell, Christopher J O'Donnell, Nicholette D Palmer, James S Pankow, James A Perry, Ulrike Peters, Michael H Preuss, D C Rao, Elizabeth A Regan, Sefuiva M Reupena, Dan M Roden, Jose Rodriguez-Santana, Colleen M Sitlani, Jennifer A Smith, Hemant K Tiwari, Ramachandran S Vasan, Zeyuan Wang, Daniel E Weeks, Jennifer Wessel, Kerri L Wiggins, Lynne R Wilkens, Peter W F Wilson, Lisa R Yanek, Zachary T Yoneda, Wei Zhao, Sebastian Zöllner, Donna K Arnett, Allison E Ashley-Koch, Kathleen C Barnes, John Blangero, Eric Boerwinkle, Esteban G Burchard, April P Carson, Daniel I Chasman, Yii-Der Ida Chen, Joanne E Curran, Myriam Fornage, Victor R Gordeuk, Jiang He, Susan R Heckbert, Lifang Hou, Marguerite R Irvin, Charles Kooperberg, Ryan L Minster, Braxton D Mitchell, Mehdi Nouraie, Bruce M Psaty, Laura M Raffield, Alexander P Reiner, Stephen S Rich, Jerome I Rotter, M Benjamin Shoemaker, Nicholas L Smith, Kent D Taylor, Marilyn J Telen, Scott T Weiss, Yingze Zhang, Nancy Heard-Costa, Yan V Sun, Xihong Lin, L Adrienne Cupples, Leslie A Lange, Ching-Ti Liu, Ruth J F Loos, Kari E North, Anne E Justice

Faculty, Staff and Student Publications

Obesity is a major public health crisis associated with high mortality rates. Previous genome-wide association studies (GWAS) investigating body mass index (BMI) have largely relied on imputed data from European individuals. This study leveraged whole-genome sequencing (WGS) data from 88,873 participants from the Trans-Omics for Precision Medicine (TOPMed) Program, of which 51% were of non-European population groups. We discovered 18 BMI-associated signals (P <  5 × 10