Digital Commons Network^™

The Tumor Invasion Paradox In Cancer Stem Cell-Driven Solid Tumors, Alexandra Shyntar, Ashna Patel, Meghan Rhodes, Heiko Enderling, Thomas Hillen

Faculty, Staff and Student Publications

Cancer stem cells (CSCs) are key in understanding tumor growth and tumor progression. A counterintuitive effect of CSCs is the so-called tumor growth paradox: the effect where a tumor with a higher death rate may grow larger than a tumor with a lower death rate. Here we extend the modeling of the tumor growth paradox by including spatial structure and considering cancer invasion. Using agent-based modeling and a corresponding partial differential equation model, we demonstrate and prove mathematically a tumor invasion paradox: a larger cell death rate can lead to a faster invasion speed. We test this result on a …

Dysfunctional Glymphatic System With Disrupted Aquaporin 4 Expression Pattern On Astrocytes Causes Bacterial Product Accumulation In The Csf During Pneumococcal Meningitis, Jaqueline S Generoso, Sigrun Thorsdottir, Allan Collodel, Diogo Dominguini, Roberta R E Santo, Fabricia Petronilho, Tatiana Barichello, Federico Iovino

Faculty, Staff and Student Publications

Pneumococcal meningitis, inflammation of the meninges due to an infection of the Central Nervous System caused by Streptococcus pneumoniae (the pneumococcus), is the most common form of community-acquired bacterial meningitis globally. Aquaporin 4 (AQP4) water channels on astrocytic end feet regulate the solute transport of the glymphatic system, facilitating the exchange of compounds between the brain parenchyma and the cerebrospinal fluid (CSF), which is important for the clearance of waste away from the brain. Wistar rats, subjected to either pneumococcal meningitis or artificial CSF (sham control), received Evans blue-albumin (EBA) intracisternally. Overall, the meningitis group presented a significant impairment of …

Rapid Reconstruction Of Neural Circuits Using Tissue Expansion And Light Sheet Microscopy, Joshua L Lillvis, Hideo Otsuna, Xiaoyu Ding, Igor Pisarev, Takashi Kawase, Jennifer Colonell, Konrad Rokicki, Cristian Goina, Ruixuan Gao, Amy Hu, Kaiyu Wang, John Bogovic, Daniel E Milkie, Linus Meienberg, Brett D Mensh, Edward S Boyden, Stephan Saalfeld, Paul W Tillberg, Barry J Dickson

Faculty, Staff and Student Publications

Brain function is mediated by the physiological coordination of a vast, intricately connected network of molecular and cellular components. The physiological properties of neural network components can be quantified with high throughput. The ability to assess many animals per study has been critical in relating physiological properties to behavior. By contrast, the synaptic structure of neural circuits is presently quantifiable only with low throughput. This low throughput hampers efforts to understand how variations in network structure relate to variations in behavior. For neuroanatomical reconstruction, there is a methodological gulf between electron microscopic (EM) methods, which yield dense connectomes at considerable …

Ubr2 Targets Myosin Heavy Chain Iib And Iix For Degradation: Molecular Mechanism Essential For Cancer-Induced Muscle Wasting, Song Gao, Guohua Zhang, Zicheng Zhang, James Z Zhu, Li Li, Yong Zhou, George G Rodney, Reem S Abo-Zahrah, Lindsey Anderson, Jose M Garcia, Yong Tae Kwon, Yi-Ping Li

Faculty, Staff and Student Publications

Cancer cachexia is a lethal metabolic syndrome featuring muscle wasting with preferential loss of fast-twitching muscle mass through an undefined mechanism. Here, we show that cancer induces muscle wasting by selectively degrading myosin heavy chain (MHC) subtypes IIb and IIx through E3 ligase UBR2-mediated ubiquitylation. Induction of MHC loss and atrophy in C2C12 myotubes and mouse tibialis anterior (TA) by murine cancer cells required UBR2 up-regulation by cancer. Genetic gain or loss of UBR2 function inversely altered MHC level and muscle mass in TA of tumor-free mice. UBR2 selectively interacted with and ubiquitylated MHC-IIb and MHC-IIx through its substrate recognition …

Summit: An Integrative Approach For Better Transcriptomic Data Imputation Improves Causal Gene Identification, Zichen Zhang, Ye Eun Bae, Jonathan R Bradley, Lang Wu, Chong Wu

Faculty, Staff and Student Publications

Genes with moderate to low expression heritability may explain a large proportion of complex trait etiology, but such genes cannot be sufficiently captured in conventional transcriptome-wide association studies (TWASs), partly due to the relatively small available reference datasets for developing expression genetic prediction models to capture the moderate to low genetically regulated components of gene expression. Here, we introduce a method, the Summary-level Unified Method for Modeling Integrated Transcriptome (SUMMIT), to improve the expression prediction model accuracy and the power of TWAS by using a large expression quantitative trait loci (eQTL) summary-level dataset. We apply SUMMIT to the eQTL summary-level …

Yap And Taz Promote Osteogenesis And Prevent Chondrogenesis In Neural Crest Cells In Vitro And In Vivo, Xiaolei Zhao, Li Tang, Tram P Le, Bao H Nguyen, Wen Chen, Mingjie Zheng, Hiroyuki Yamaguchi, Brian Dawson, Shuangjie You, Idaliz M Martinez-Traverso, Shannon Erhardt, Jianxin Wang, Min Li, James F Martin, Brendan H Lee, Yoshihiro Komatsu, Jun Wang

Faculty, Staff and Student Publications

Neural crest cells (NCCs) are multipotent stem cells that can differentiate into multiple cell types, including the osteoblasts and chondrocytes, and constitute the majority of the craniofacial skeleton. Here, we show through in vitro and in vivo studies that the transcriptional regulators Yap and Taz have redundant functions as key determinants of the specification and differentiation of NCCs into osteoblasts or chondrocytes. Primary and cultured NCCs deficient in Yap and Taz switched from osteogenesis to chondrogenesis, and NCC-specific deficiency for Yap and Taz resulted in bone loss and ectopic cartilage in mice. Yap bound to the regulatory elements of key …

A Comprehensive Update On Cido: The Community-Based Coronavirus Infectious Disease Ontology, Yongqun He, Hong Yu, Anthony Huffman, Asiyah Yu Lin, Darren A Natale, John Beverley, Ling Zheng, Yehoshua Perl, Zhigang Wang, Yingtong Liu, Edison Ong, Yang Wang, Philip Huang, Long Tran, Jinyang Du, Zalan Shah, Easheta Shah, Roshan Desai, Hsin-Hui Huang, Yujia Tian, Eric Merrell, William D Duncan, Sivaram Arabandi, Lynn M Schriml, Jie Zheng, Anna Maria Masci, Liwei Wang, Hongfang Liu, Fatima Zohra Smaili, Robert Hoehndorf, Zoë May Pendlington, Paola Roncaglia, Xianwei Ye, Jiangan Xie, Yi-Wei Tang, Xiaolin Yang, Suyuan Peng, Luxia Zhang, Luonan Chen, Junguk Hur, Gilbert S Omenn, Brian Athey, Barry Smith

Faculty, Staff and Student Publications

BACKGROUND: The current COVID-19 pandemic and the previous SARS/MERS outbreaks of 2003 and 2012 have resulted in a series of major global public health crises. We argue that in the interest of developing effective and safe vaccines and drugs and to better understand coronaviruses and associated disease mechenisms it is necessary to integrate the large and exponentially growing body of heterogeneous coronavirus data. Ontologies play an important role in standard-based knowledge and data representation, integration, sharing, and analysis. Accordingly, we initiated the development of the community-based Coronavirus Infectious Disease Ontology (CIDO) in early 2020.

RESULTS: As an Open Biomedical Ontology …

Interactions Between Environmental Factors And Glutathione S-Transferase (Gst) Genes With Respect To Detectable Blood Aluminum Concentrations In Jamaican Children, Mohammad H Rahbar, Maureen Samms-Vaughan, Yuansong Zhao, Sepideh Saroukhani, Jan Bressler, Manouchehr Hessabi, Megan L Grove, Sydonnie Shakespeare-Pellington, Katherine A Loveland

Faculty, Staff and Student Publications

Aluminum (Al) is a metallic toxicant at high concentrations following natural or unnatural exposures. Dietary intake is considered as the main source of aluminum exposure in children. We used data from 366 typically developing (TD) children (ages 2−8 years) who participated as controls in an age- and sex-matched case−control study in Jamaica. We investigated additive and interactive associations among environmental factors and children’s genotypes for glutathione S-transferase (GST) genes (GSTT1, GSTM1, GSTP1), in relation to having a detectable blood aluminum concentration (BAlC) of >5.0 μg/L, using multivariable logistic regression models. Findings from interactive models revealed that the odds of having …

Lenalidomide Promotes The Development Of Tp53-Mutated Therapy-Related Myeloid Neoplasms, Adam S Sperling, Veronica A Guerra, James A Kennedy, Yuanqing Yan, Joanne I Hsu, Feng Wang, Andrew T Nguyen, Peter G Miller, Marie E Mcconkey, Vanessa A Quevedo Barrios, Ken Furudate, Linda Zhang, Rashmi Kanagal-Shamanna, Jianhua Zhang, Latasha Little, Curtis Gumbs, Naval Daver, Courtney D Dinardo, Tapan Kadia, Farhad Ravandi, Hagop Kantarjian, Guillermo Garcia-Manero, P Andrew Futreal, Benjamin L Ebert, Koichi Takahashi

Faculty, Staff and Student Publications

There is a growing body of evidence that therapy-related myeloid neoplasms (t-MNs) with driver gene mutations arise in the background of clonal hematopoiesis (CH) under the positive selective pressure of chemo- and radiation therapies. Uncovering the exposure relationships that provide selective advantage to specific CH mutations is critical to understanding the pathogenesis and etiology of t-MNs. In a systematic analysis of 416 patients with t-MN and detailed prior exposure history, we found that TP53 mutations were significantly associated with prior treatment with thalidomide analogs, specifically lenalidomide. We demonstrated experimentally that lenalidomide treatment provides a selective advantage to Trp53-mutant hematopoietic stem …

Recent Advances In Rapid Detection Techniques For Pesticide Residue: A Review, Lingyuan Xu, A M Abd El-Aty, Jong-Bang Eun, Jae-Han Shim, Jing Zhao, Xingmei Lei, Song Gao, Yongxin She, Fen Jin, Jing Wang, Maojun Jin, Bruce D Hammock

Faculty, Staff and Student Publications

As an important chemical pollutant affecting the safety of agricultural products, the on-site and efficient detection of pesticide residues has become a global trend and hotspot in research. These methodologies were developed for simplicity, high sensitivity, and multiresidue detection. This review introduces the currently available technologies based on electrochemistry, optical analysis, biotechnology, and some innovative and novel technologies for the rapid detection of pesticide residues, focusing on the characteristics, research status, and application of the most innovative and novel technologies in the past 10 years, and analyzes challenges and future development prospects. The current review could be a good reference …

Estimating The Optimal Linear Combination Of Predictors Using Spherically Constrained Optimization, Priyam Das, Debsurya De, Raju Maiti, Mona Kamal, Katherine A Hutcheson, Clifton D Fuller, Bibhas Chakraborty, Christine B Peterson

Faculty, Staff and Student Publications

Background: In the context of a binary classification problem, the optimal linear combination of continuous predictors can be estimated by maximizing the area under the receiver operating characteristic curve. For ordinal responses, the optimal predictor combination can similarly be obtained by maximization of the hypervolume under the manifold (HUM). Since the empirical HUM is discontinuous, non-differentiable, and possibly multi-modal, solving this maximization problem requires a global optimization technique. Estimation of the optimal coefficient vector using existing global optimization techniques is computationally expensive, becoming prohibitive as the number of predictors and the number of outcome categories increases.

Results: We propose an …

Therapeutic Efficacy Of The Humanized Jaa-F11 Anti-Thomsen-Friedenreich Antibody Constructs H2al2a And H3l3 In Human Breast And Lung Cancer Xenograft Models, Diala Ghazal, Fatma Zalzala, John C Fisk, Swetha Tati, Loukia G Karacosta, Susan Morey, James R Olson, Sally Quataert, Grace K Dy, Kate Rittenhouse-Olson

Faculty, Staff and Student Publications

The Thomsen-Friedenreich antigen (TF-Ag-α) is found on ~85% of human carcinomas but is cryptic on normal tissue. The humanized highly specific hJAA-F11-H2aL2a and -H3L3 antibodies target TF-Ag-α without binding to TF-Ag-beta (found on surface glycolipids of some normal cells). The relative affinity of H3L3 is 17 times that of H2aL2a, which would seem to favor superior efficacy, however, increased affinity can result in less tumor penetration. To assess the potential therapeutic efficacy of these antibodies, four human cancer- mouse xenograft models were treated with H2aL2a and H3L3. The tumor xenograft models used were human non-small cell lung cancer, H520, and …

Daphnia As A Sentinel Species For Environmental Health Protection: A Perspective On Biomonitoring And Bioremediation Of Chemical Pollution, Muhammad Abdullahi, Xiaojing Li, Mohamed Abou-Elwafa Abdallah, William Stubbings, Norman Yan, Marianne Barnard, Liang-Hong Guo, John K Colbourne, Luisa Orsini

Faculty, Staff and Student Publications

Despite available technology and the knowledge that chemical pollution damages human and ecosystem health, chemical pollution remains rampant, ineffectively monitored, rarely prevented, and only occasionally mitigated. We present a framework that helps address current major challenges in the monitoring and assessment of chemical pollution by broadening the use of the sentinel species Daphnia as a diagnostic agent of water pollution. And where prevention has failed, we propose the application of Daphnia as a bioremediation agent to help reduce hazards from chemical mixtures in the environment. By applying “omics” technologies to Daphnia exposed to real-world ambient chemical mixtures, we show improvements …

Scgwas: Landscape Of Trait-Cell Type Associations By Integrating Single-Cell Transcriptomics-Wide And Genome-Wide Association Studies, Peilin Jia, Ruifeng Hu, Fangfang Yan, Yulin Dai, Zhongming Zhao

Faculty, Staff and Student Publications

BACKGROUND: The rapid accumulation of single-cell RNA sequencing (scRNA-seq) data presents unique opportunities to decode the genetically mediated cell-type specificity in complex diseases. Here, we develop a new method, scGWAS, which effectively leverages scRNA-seq data to achieve two goals: (1) to infer the cell types in which the disease-associated genes manifest and (2) to construct cellular modules which imply disease-specific activation of different processes.

RESULTS: scGWAS only utilizes the average gene expression for each cell type followed by virtual search processes to construct the null distributions of module scores, making it scalable to large scRNA-seq datasets. We demonstrated scGWAS in …

The Mechanisms Of Action Of Tumor Treating Fields, Justin C Moser, Ellaine Salvador, Karina Deniz, Kenneth Swanson, Jack Tuszynski, Kristen W Carlson, Narasimha Kumar Karanam, Chirag B Patel, Michael Story, Emil Lou, Carsten Hagemann

Faculty, Staff and Student Publications

Tumor treating fields (TTFields), a new modality of cancer treatment, are electric fields transmitted transdermally to tumors. The FDA has approved TTFields for the treatment of glioblastoma multiforme and mesothelioma, and they are currently under study in many other cancer types. While antimitotic effects were the first recognized biological anticancer activity of TTFields, data have shown that tumor treating fields achieve their anticancer effects through multiple mechanisms of action. TTFields therefore have the ability to be useful for many cancer types in combination with many different treatment modalities. Here, we review the current understanding of TTFields and their mechanisms of …

Serological Evidence Of Severe Fever With Thrombocytopenia Syndrome Virus And Igm Positivity Were Identified In Healthy Residents In Vietnam, Xuan Chuong Tran, Sung Hye Kim, Jeong-Eun Lee, So-Hee Kim, Su Yeon Kang, Nguyen D Binh, Pham V Duc, Phan T K Phuong, Nguyen T P Thao, Wonwoo Lee, Joon-Yong Bae, Man-Seong Park, Misun Kim, Jeong Rae Yoo, Sang Taek Heo, Kyeong Ho An, Jung Mogg Kim, Nam-Hyuk Cho, Sun-Ho Kee, Keun Hwa Lee

Faculty, Staff and Student Publications

Severe fever with thrombocytopenia syndrome (SFTS), an emerging tick-borne viral disease, is prevalent in East Asia and has also been reported in Southeast Asia since 2019. SFTS patients in Vietnam were first reported in 2019. However, the seroprevalence of severe fever with thrombocytopenia syndrome virus (SFTSV) in Vietnam has not been reported. To investigate the seroprevalence of SFTSV in Vietnam, we collected serum samples from 714 healthy residents in Thua Thien Hue and Quang Nam Province, Vietnam, and the seroprevalence of SFTSV was assessed using immunofluorescence antibody assay (IFA), Enzyme-Linked Immunosorbent Assays (ELISAs) and the 50% focus reduction neutralization test …

Tumor Microenvironment: Barrier Or Opportunity Towards Effective Cancer Therapy, Aadhya Tiwari, Rakesh Trivedi, Shiaw-Yih Lin

Faculty, Staff and Student Publications

Tumor microenvironment (TME) is a specialized ecosystem of host components, designed by tumor cells for successful development and metastasis of tumor. With the advent of 3D culture and advanced bioinformatic methodologies, it is now possible to study TME's individual components and their interplay at higher resolution. Deeper understanding of the immune cell's diversity, stromal constituents, repertoire profiling, neoantigen prediction of TMEs has provided the opportunity to explore the spatial and temporal regulation of immune therapeutic interventions. The variation of TME composition among patients plays an important role in determining responders and non-responders towards cancer immunotherapy. Therefore, there could be a …

Machine Learning On Syngeneic Mouse Tumor Profiles To Model Clinical Immunotherapy Response, Zexian Zeng, Shengqing Stan Gu, Cheryl J Wong, Lin Yang, Nofal Ouardaoui, Dian Li, Wubing Zhang, Myles Brown, X Shirley Liu

Faculty, Staff and Student Publications

Most patients with cancer are refractory to immune checkpoint blockade (ICB) therapy, and proper patient stratification remains an open question. Primary patient data suffer from high heterogeneity, low accessibility, and lack of proper controls. In contrast, syngeneic mouse tumor models enable controlled experiments with ICB treatments. Using transcriptomic and experimental variables from >700 ICB-treated/control syngeneic mouse tumors, we developed a machine learning framework to model tumor immunity and identify factors influencing ICB response. Projected on human immunotherapy trial data, we found that the model can predict clinical ICB response. We further applied the model to predicting ICB-responsive/resistant cancer types in …

Combined Trip13 And Aurora Kinase Inhibition Induces Apoptosis In Human Papillomavirus-Driven Cancers, Soma Ghosh, Tuhina Mazumdar, Wei Xu, Reid T Powell, Clifford Stephan, Li Shen, Pooja A Shah, Curtis R Pickering, Jeffery N Myers, Jing Wang, Mitchell J Frederick, Faye M Johnson

Faculty, Staff and Student Publications

PURPOSE: Human papillomavirus (HPV) causes >5% of cancers, but no therapies uniquely target HPV-driven cancers.

EXPERIMENTAL DESIGN: We tested the cytotoxic effect of 864 drugs in 16 HPV-positive and 17 HPV-negative human squamous cancer cell lines. We confirmed apoptosis in vitro and in vivo using patient-derived xenografts. Mitotic pathway components were manipulated with drugs, knockdown, and overexpression.

RESULTS: Aurora kinase inhibitors were more effective in vitro and in vivo in HPV-positive than in HPV-negative models. We hypothesized that the mechanism of sensitivity involves retinoblastoma (Rb) expression because the viral oncoprotein E7 leads to Rb protein degradation, and basal Rb protein …

Human Nop2/Nsun1 Regulates Ribosome Biogenesis Through Non-Catalytic Complex Formation With Box C/D Snornps, Han Liao, Anushri Gaur, Hunter Mcconie, Amirtha Shekar, Karen Wang, Jeffrey T Chang, Ghislain Breton, Catherine Denicourt

Faculty, Staff and Student Publications

5-Methylcytosine (m5C) is a base modification broadly found on various RNAs in the human transcriptome. In eukaryotes, m5C is catalyzed by enzymes of the NSUN family composed of seven human members (NSUN1-7). NOP2/NSUN1 has been primarily characterized in budding yeast as an essential ribosome biogenesis factor required for the deposition of m5C on the 25S ribosomal RNA (rRNA). Although human NOP2/NSUN1 has been known to be an oncogene overexpressed in several types of cancer, its functions and substrates remain poorly characterized. Here, we used a miCLIP-seq approach to identify human NOP2/NSUN1 RNA substrates. Our analysis revealed that NOP2/NSUN1 catalyzes the …

Prevalence Of Polypharmacy And Associated Adverse Outcomes And Risk Factors Among Children With Asthma In The Usa: A Cross-Sectional Study, Luyu Xie, Andrew Gelfand, Caitlin C Murphy, M Sunil Mathew, Folefac Atem, George L Delclos, Sarah Messiah

Faculty, Staff and Student Publications

OBJECTIVE: to estimate the prevalence of polypharmacy, identify risk factors and examine related adverse outcomes in the US children with asthma.

DESIGN, SETTING AND PARTICIPANTS: This population-based, cross-sectional study included 1776 children with asthma from the 2011-2020 National Health and Nutrition Examination Surveys.

EXPOSURES: Polypharmacy is defined as taking ≥2 medications concurrently for ≥1 day over the past 30 days.

MAIN OUTCOMES AND MEASURES: (1) Weighted prevalence estimates of polypharmacy in children with asthma; (2) asthma attacks and emergency department (ED) visits.

RESULTS: The estimated prevalence of polypharmacy in the US children with asthma was 33.49% (95% CI 31.81% to …

Structural And Functional Diversity Of Type Iv Secretion Systems, Melissa R Cruz, Shane Cristy, Shantanu Guha, Giuseppe Buda De Cesare, Elena Evdokimova, Hiram Sanchez, Dominika Borek, Pedro Miramón, Junko Yano, Paul L Fidel, Alexei Savchenko, David R Andes, Peter J Stogios, Michael C Lorenz, Danielle A Garsin

Faculty, Staff and Student Publications

Fungal pathogens are a continuing challenge due to few effective antifungals and a rise in resistance. In previous work, we described the inhibition of Candida albicans virulence following exposure to the 68 amino acid bacteriocin, EntV, secreted by Enterococcus faecalis. Here, to optimize EntV as a potential therapeutic and better understand its antifungal features, an X-ray structure is obtained. The structure consists of six alpha helices enclosing a seventh 16 amino acid helix (α7). The individual helices are tested for antifungal activity using in vitro and nematode infection assays. Interestingly, α7 retains antifungal, but not antibacterial activity and is also …

2022 Practice Recommendation Updates From The World Consensus Conference On Bia-Alcl, Fabio Santanelli Di Pompeo, Mark W Clemens, Michael Atlan, Giovanni Botti, Peter G Cordeiro, Daphne De Jong, Arianna Di Napoli, Dennis Hammond, Cara L Haymaker, Steven M Horwitz, Kelly Hunt, Peter Lennox, Patrick Mallucci, Roberto N Miranda, Alexandre M Munhoz, Eric Swanson, Suzanne D Turner, Guido Firmani, Michail Sorotos

Faculty, Staff and Student Publications

BACKGROUND: Laboratory and clinical research on breast implant-associated anaplastic large cell lymphoma (BIA-ALCL) is rapidly evolving. Changes in standard of care and insights into best practice were recently presented at the 3rd World Consensus Conference on BIA-ALCL.

OBJECTIVES: The authors sought to provide practice recommendations from a consensus of experts, supplemented with a literature review regarding epidemiology, etiology, pathogenesis, diagnosis, treatment, socio-psychological aspects, and international authority guidance.

METHODS: A literature search of all manuscripts between 1997 and August 2021 for the above areas of BIA-ALCL was conducted with the PubMed database. Manuscripts in different languages, on non-human subjects, and/or discussing …

Public Health Burden Of Secondhand Smoking: Case Reports Of Lung Cancer And A Literature Review, Ladislav Štěpánek, Jarmila Ševčíková, Dagmar Horáková, Mihir Sanjay Patel, Radka Durďáková

Faculty, Staff and Student Publications

Secondhand smoke (SHS), composed of mainstream and sidestream smoke, is a known human carcinogen. It contains a variety of harmful substances at even higher concentrations than mainstream smoke itself, which is inhaled during firsthand smoking. Exposure to SHS, affecting more than a third of the worldwide population, increases the likelihood of lung cancer by roughly 30%, with specific contributions depending on the histological type of cancer. This study aimed to present the harmful potential of SHS through case reports and describe the burden of SHS via a literature review. From a collection of lung cancer case reports occurring in never …

The Temporal Impulse Response Function In Infantile Nystagmus, Gal Avital, Felicia Kuperwaser, Andrew W Pountain, Keenan A Lacey, Erin E Zwack, Magdalena Podkowik, Bo Shopsin, Victor J Torres, Itai Yanai

Faculty, Staff and Student Publications

Innate immune recognition of bacterial pathogens is a key determinant of the ensuing systemic response, and host or pathogen heterogeneity in this early interaction can impact the course of infection. To gain insight into host response heterogeneity, we investigate macrophage inflammatory dynamics using primary human macrophages infected with Group B Streptococcus. Transcriptomic analysis reveals discrete cellular states within responding macrophages, one of which consists of four sub-states, reflecting inflammatory activation. Infection with six additional bacterial species—Staphylococcus aureus, Listeria monocytogenes, Enterococcus faecalis, Yersinia pseudotuberculosis, Shigella flexneri, and Salmonella enterica—recapitulates these states, though at …

Whole Genome Sequence Analysis Of Blood Lipid Levels In >66,000 Individuals, Margaret Sunitha Selvaraj, Xihao Li, Zilin Li, Akhil Pampana, David Y Zhang, Joseph Park, Stella Aslibekyan, Joshua C Bis, Jennifer A Brody, Brian E Cade, Lee-Ming Chuang, Ren-Hua Chung, Joanne E Curran, Lisa De Las Fuentes, Paul S De Vries, Ravindranath Duggirala, Barry I Freedman, Mariaelisa Graff, Xiuqing Guo, Nancy Heard-Costa, Bertha Hidalgo, Chii-Min Hwu, Marguerite R Irvin, Tanika N Kelly, Brian G Kral, Leslie Lange, Xiaohui Li, Martin Lisa, Steven A Lubitz, Ani W Manichaikul, Preuss Michael, May E Montasser, Alanna C Morrison, Take Naseri, Jeffrey R O'Connell, Nicholette D Palmer, Patricia A Peyser, Muagututia S Reupena, Jennifer A Smith, Xiao Sun, Kent D Taylor, Russell P Tracy, Michael Y Tsai, Zhe Wang, Yuxuan Wang, Wei Bao, John T Wilkins, Lisa R Yanek, Wei Zhao, Donna K Arnett, John Blangero, Eric Boerwinkle, Donald W Bowden, Yii-Der Ida Chen, Adolfo Correa, L Adrienne Cupples, Susan K Dutcher, Patrick T Ellinor, Myriam Fornage, Stacey Gabriel, Soren Germer, Richard Gibbs, Jiang He, Robert C Kaplan, Sharon L R Kardia, Ryan Kim, Charles Kooperberg, Ruth J F Loos, Karine A Viaud-Martinez, Rasika A Mathias, Stephen T Mcgarvey, Braxton D Mitchell, Deborah Nickerson, Kari E North, Bruce M Psaty, Susan Redline, Alexander P Reiner, Ramachandran S Vasan, Stephen S Rich, Cristen Willer, Jerome I Rotter, Daniel J Rader, Xihong Lin, Gina M Peloso, Pradeep Natarajan

Faculty, Staff and Student Publications

Blood lipids are heritable modifiable causal factors for coronary artery disease. Despite well-described monogenic and polygenic bases of dyslipidemia, limitations remain in discovery of lipid-associated alleles using whole genome sequencing (WGS), partly due to limited sample sizes, ancestral diversity, and interpretation of clinical significance. Among 66,329 ancestrally diverse (56% non-European) participants, we associate 428M variants from deep-coverage WGS with lipid levels; ~400M variants were not assessed in prior lipids genetic analyses. We find multiple lipid-related genes strongly associated with blood lipids through analysis of common and rare coding variants. We discover several associated rare non-coding variants, largely at Mendelian lipid …

Evolution And Modulation Of Antigen-Specific T Cell Responses In Melanoma Patients, Jani Huuhtanen, Liang Chen, Emmi Jokinen, Henna Kasanen, Tapio Lönnberg, Anna Kreutzman, Katriina Peltola, Micaela Hernberg, Chunlin Wang, Cassian Yee, Harri Lähdesmäki, Mark M Davis, Satu Mustjoki

Faculty, Staff and Student Publications

Analyzing antigen-specific T cell responses at scale has been challenging. Here, we analyze three types of T cell receptor (TCR) repertoire data (antigen-specific TCRs, TCR-repertoire, and single-cell RNA + TCRαβ-sequencing data) from 515 patients with primary or metastatic melanoma and compare it to 783 healthy controls. Although melanoma-associated antigen (MAA) -specific TCRs are restricted to individuals, they share sequence similarities that allow us to build classifiers for predicting anti-MAA T cells. The frequency of anti-MAA T cells distinguishes melanoma patients from healthy and predicts metastatic recurrence from primary melanoma. Anti-MAA T cells have stem-like properties and frequent interactions with regulatory …

Tntdetectai: A Deep Learning Model For Automated Detection And Counting Of Tunneling Nanotubes In Microscopy Images, Yasin Ceran, Hamza Ergüder, Katherine Ladner, Sophie Korenfeld, Karina Deniz, Sanyukta Padmanabhan, Phillip Wong, Murat Baday, Thomas Pengo, Emil Lou, Chirag B Patel

Faculty, Staff and Student Publications

BACKGROUND: Tunneling nanotubes (TNTs) are cellular structures connecting cell membranes and mediating intercellular communication. TNTs are manually identified and counted by a trained investigator; however, this process is time-intensive. We therefore sought to develop an automated approach for quantitative analysis of TNTs.

METHODS: We used a convolutional neural network (U-Net) deep learning model to segment phase contrast microscopy images of both cancer and non-cancer cells. Our method was composed of preprocessing and model development. We developed a new preprocessing method to label TNTs on a pixel-wise basis. Two sequential models were employed to detect TNTs. First, we identified the regions …

Dissection Of A Sensorimotor Circuit Underlying Pathogen Aversion In C Elegans, Adam Filipowicz, Jonathan Lalsiamthara, Alejandro Aballay

Faculty, Staff and Student Publications

BACKGROUND: Altering animal behavior to reduce pathogen exposure is a key line of defense against pathogen attack. In Caenorhabditis elegans, alterations in intestinal physiology caused by pathogen colonization and sensation of microbial metabolites may lead to activation of pathogen aversive behaviors ranging from aversive reflexes to learned avoidance. However, the neural circuitry between chemosensory neurons that sense pathogenic bacterial cues and the motor neurons responsible for avoidance-associated locomotion remains unknown.

RESULTS: Using C. elegans, we found that backward locomotion was a component of learned pathogen avoidance, as animals pre-exposed to Pseudomonas aeruginosa or Enterococcus faecalis showed reflexive aversion to drops …

Metarnn: Differentiating Rare Pathogenic And Rare Benign Missense Snvs And Indels Using Deep Learning, Chang Li, Degui Zhi, Kai Wang, Xiaoming Liu

Faculty, Staff and Student Publications

Multiple computational approaches have been developed to improve our understanding of genetic variants. However, their ability to identify rare pathogenic variants from rare benign ones is still lacking. Using context annotations and deep learning methods, we present pathogenicity prediction models, MetaRNN and MetaRNN-indel, to help identify and prioritize rare nonsynonymous single nucleotide variants (nsSNVs) and non-frameshift insertion/deletions (nfINDELs). We use independent test sets to demonstrate that these new models outperform state-of-the-art competitors and achieve a more interpretable score distribution. Importantly, prediction scores from both models are comparable, enabling easy adoption of integrated genotype-phenotype association analysis methods. All pre-computed nsSNV scores …