Digital Commons Network^™

Versatile Smad2 And Smad3 Epitope-Tagged Mouse Models For Genomic Profiling Of Tgfβ Signaling: Uncovering Gdf9-Smad2/3 Targets, Zian Liao, Qian Zhang, Keisuke Shimada, Kaori Nozawa, Suni Tang, Masahito Ikawa, Diana Monsivais, Martin M Matzuk

Faculty, Staff and Students Publications

Transforming growth factor β (TGFβ) signaling pathways are integral for a plethora of biological processes. SMAD2 and SMAD3 are the principal transcriptional effectors of TGFβ superfamily ligands, yet quantitative, genome-wide mapping of their DNA-associated complexes under physiological contexts has remained limited due to the lack of specific, robust models. Here, we generated two versatile epitope-tagged mouse models in which endogenous SMAD2 and SMAD3 proteins are globally tagged with hemagglutinin (HA) and podoplanin (PA) sequences, respectively, enabling high-fidelity profiling of SMAD2 and SMAD3 binding across tissues. To demonstrate the broad application of our models, we exemplified the usage of our lines …

Efficient In Vivo Pharmacological Inhibition Of Δfosb, An Ap-1 Transcription Factor, In The Brain, Sean Mcneme, Anil Kumar, Yun Young Yim, Brandon W Hughes, Corey St Romain, Yi Li, Ashwani Kumar, Qichao Bao, Molly Estill, Shanghua Fan, Nadeen Takatka, Earnest P Chen, Matthew Rivera, Haiying Chen, Alfred J Robison, Mischa Machius, Stephen J Haggarty, Jeannie Chin, Eric J Nestler, Jia Zhou, Gabby Rudenko

Faculty, Staff and Students Publications

ΔFOSB, an unusually stable member of the AP-1 family of transcription factors, mediates long-term maladaptations that play a key role in the pathogenesis of drug addiction, cognitive decline, dyskinesia, and several other chronic neurological and psychiatric conditions. We have recently identified that 2-phenoxybenzenesulfonic acid-containing compounds disrupt the binding of ΔFOSB to DNA in vitro in cell-based assays, and one such compound, JPC0661, disrupts ΔFOSB binding to genomic DNA in vivo in the mouse brain with partial efficiency. JPC0661 binds to a groove outside of the DNA-binding cleft of the ΔFOSB/JUND bZIP heterodimer in a cocrystal structure. Here, we generated a …

Investigation Of A Global Mouse Methylome Atlas Reveals Subtype-Specific Copy Number Alterations In Pediatric Cancer Models., Melanie Schoof, Tuyu Zheng, Martin Sill, Roland Imle, Alessia Cais, Lea Altendorf, Alicia Fürst, Nina Hofmann, Kati Ernst, Dominik Vonficht, Kenneth Chun-Ho Chan, Tim Holland-Letz, Andreas Postlmayr, Ryo Shiraishi, Wanchen Wang, Alaide Morcavallo, Michael Spohn, Carolin Göbel, Judith Niesen, Levke-Sophie Peter, Franck Bourdeaut, Zhi-Yan Han, Yanxin Pei, Najiba Murad, Fredrik J. Swartling, Jessica Taylor, Monika Yadav, Garrett R. Gibson, Richard J. Gilbertson, Matthias Dottermusch, Rajanya Roy, Kornelius Kerl, Rainer Glass, Jiying Cheng, Martin A. Horstmann, Gerrit Wolters-Eisfeld, Haotian Zhao, Dominik Sturm, Viveka Nand Yadav, Louis Chesler, Simon Haas, William A. Weiss, Paul A. Northcott, Lena M. Kutscher, Ana Guerreiro Stucklin, Olivier Ayrault, Julia E. Neumann, Daisuke Kawauchi, David T W Jones, Kristian Pajtler, Ana Banito, Stefan M. Pfister, Ulrich Schüller, Marc Zuckermann

Manuscripts, Articles, Book Chapters and Other Papers

Copy number alterations (CNAs) are hallmarks of cancer, yet investigation of their oncogenic role has been hindered by technical limitations and missing model systems. Here we generated a genome-wide DNA methylation and CNA atlas of 106 genetic mouse models across 31 pediatric tumor types, including 18 new models for pediatric glioma. We demonstrated their epigenetic resemblance to human disease counterparts and identified entity-specific patterns of immune infiltration. We discovered that mouse tumors harbor highly recurrent CNA signatures that occur distinctly based on the tumor subgroup and driving oncogene and showed that these CNAs share syntenic regions with the matching human …

Experimental Insights Into High Background Radiation: Reduced Cancer Risks In A Murine Model Study, S. M.J. Mortazavi, M. Arshadi, B. F. Baha'addini Baigy Zarandi, J. S. Welsh, H. Mozdarani, M. Haghani, N. Jooyan, S. Nematollahi, Negar Azarpira, Lembit Sihver

Informatics and Engineering Systems Faculty Publications

Background: Natural background radiation varies geographically and has potential implications for cancer development. High-level natural radiation areas (HLNRAs), like Ramsar, Iran, offer unique opportunities to study the biological effects of radiation exposure. This study investigates the relationship between high background radiation and tumor progression in a murine model. Materials and Methods: Thirty-two C57BL/6 mice were exposed to varying levels of natural radiation (0.097 μSv/h to 9.24 μSv/h) for two months, simulating conditions in Ramsar. Mice were divided into four groups based on radiation intensity. After exposure, 1106 B16-F10 melanoma cells were injected subcutaneously, and tumor growth was monitored for 24 …

The Lung Cancer Autochthonous Model Gene Expression Database Enables Cross-Study Comparisons Of The Transcriptomic Landscapes Across Mouse Models, Ling Cai, Fangjiang Wu, Qinbo Zhou, Ying Gao, Bo Yao, Ralph J Deberardinis, George K Acquaah-Mensah, Vassilis Aidinis, Jennifer E Beane, Shyam Biswal, Ting Chen, Carla P Concepcion-Crisol, Barbara M Grüner, Deshui Jia, Robert A Jones, Jonathan M Kurie, Min Gyu Lee, Per Lindahl, Yonathan Lissanu, Corina Lorz, David Macpherson, Rosanna Martinelli, Pawel K Mazur, Sarah A Mazzilli, Shinji Mii, Herwig P Moll, Roger A Moorehead, Edward E Morrisey, Sheng Rong Ng, Matthew G Oser, Arun R Pandiri, Charles A Powell, Giorgio Ramadori, Mirentxu Santos, Eric L Snyder, Rocio Sotillo, Kang-Yi Su, Tetsuro Taki, Kekoa Taparra, Phuoc T Tran, Yifeng Xia, J Edward Van Veen, Monte M Winslow, Guanghua Xiao, Charles M Rudin, Trudy G Oliver, Yang Xie, John D Minna

Faculty, Staff and Student Publications

Lung cancer, the leading cause of cancer mortality, exhibits diverse histological subtypes and genetic complexities. Numerous preclinical mouse models have been developed to study lung cancer, but data from these models are disparate, siloed, and difficult to compare in a centralized fashion. In this study, we established the Lung Cancer Autochthonous Model Gene Expression Database (LCAMGDB), an extensive repository of 1,354 samples from 77 transcriptomic datasets covering 974 samples from genetically engineered mouse models (GEMMs), 368 samples from carcinogen-induced models, and 12 samples from a spontaneous model. Meticulous curation and collaboration with data depositors produced a robust and comprehensive database, …

Idh Status Dictates Ohsv Mediated Metabolic Reprogramming Affecting Anti-Tumor Immunity, Upasana Sahu, Matthew P Mullarkey, Sara A Murphy, Joshua C Anderson, Vasanta Putluri, Abu Hena Mostafa Kamal, Jun Hyoung Park, Tae Jin Lee, Alexander L Ling, Benny A Kaipparettu, Ashok Sharma, Nagireddy Putluri, Pamela L Wenzel, Christopher D Willey, E Antonio Chiocca, James M Markert, Balveen Kaur

Faculty, Staff and Student Publications

Identification of isocitrate dehydrogenase (IDH) mutations has uncovered the crucial role of metabolism in gliomagenesis. Oncolytic herpes virus (oHSV) initiates direct tumor debulking by tumor lysis and activates anti-tumor immunity, however, little is known about the role of glioma metabolism in determining oHSV efficacy. Here we identify that oHSV rewires central carbon metabolism increasing glucose utilization towards oxidative phosphorylation and shuttling glutamine towards reductive carboxylation in IDH wildtype glioma. The switch in metabolism results in increased lipid synthesis and cellular ROS. PKC induces ACSL4 in oHSV treated cells leading to lipid peroxidation and ferroptosis. Ferroptosis is critical to launch an …

Targeted Degradation Of Oncogenic Krasg12v Triggers Antitumor Immunity In Lung Cancer Models, Dezhi Li, Ke Geng, Yuan Hao, Jiajia Gu, Saurav Kumar, Annabel T Olson, Christina C Kuismi, Hye Mi Kim, Yuanwang Pan, Fiona Sherman, Asia M Williams, Yiting Li, Fei Li, Ting Chen, Cassandra Thakurdin, Michela Ranieri, Mary Meynardie, Daniel S Levin, Janaye Stephens, Alison Chafitz, Joy Chen, Mia S Donald-Paladino, Jaylen M Powell, Ze-Yan Zhang, Wei Chen, Magdalena Ploszaj, Han Han, Shengqing Stan Gu, Tinghu Zhang, Baoli Hu, Benjamin A Nacev, Medard Ernest Kaiza, Alice H Berger, Xuerui Wang, Jing Li, Xuejiao Sun, Yang Liu, Xiaoyang Zhang, Tullia C Bruno, Nathanael S Gray, Behnam Nabet, Kwok-Kin Wong, Hua Zhang

Faculty, Staff and Student Publications

Kirsten rat sarcoma viral oncogene homolog (KRAS) is the most frequently mutated oncogene in lung adenocarcinoma, with G12C and G12V being the most predominant forms. Recent breakthroughs in KRASG12C inhibitors have transformed the clinical management of patients with the G12C mutation and advanced our understanding of the function of this mutation. However, little is known about the targeted disruption of KRASG12V, partly due to a lack of specific inhibitors. Here, we leverage the degradation tag (dTAG) system to develop a KRASG12V-transgenic mouse model. We explored the therapeutic potential of KRASG12V degradation and characterized its effect on the tumor microenvironment (TME). …

A Graph Theoretical Approach To Experimental Prioritization In Genome-Scale Investigations., Stephen K Grady, Kevin A Peterson, Stephen A Murray, Erich J Baker, Michael A Langston, Elissa J Chesler

Faculty Research 2024

The goal of systems biology is to gain a network level understanding of how gene interactions influence biological states, and ultimately inform upon human disease. Given the scale and scope of systems biology studies, resource constraints often limit researchers when validating genome-wide phenomena and potentially lead to an incomplete understanding of the underlying mechanisms. Further, prioritization strategies are often biased towards known entities (e.g. previously studied genes/proteins with commercially available reagents), and other technical issues that limit experimental breadth. Here, heterogeneous biological information is modeled as an association graph to which a high-performance minimum dominating set solver is applied to …

Variant Surface Protein Gp60 Contributes To Host Infectivity Of Cryptosporidium Parvum, Muxiao Li, Fuxian Yang, Tianyi Hou, Xiaoqing Gong, Na Li, L David Sibley, Yaoyu Feng, Lihua Xiao, Yaqiong Guo

2020-Current year OA Pubs

Biological studies of the determinants of Cryptosporidium infectivity are lacking despite the fact that cryptosporidiosis is a major public health problem. Recently, the 60-kDa glycoprotein (GP60) has received attention because of its high sequence polymorphism and association with host infectivity of isolates and protection against reinfection. However, studies of GP60 function have been hampered by its heavy O-linked glycosylation. Here, we used advanced genetic tools to investigate the processing, fate, and function of GP60. Endogenous gene tagging showed that the GP60 cleavage products, GP40 and GP15, are both highly expressed on the surface of sporozoites, merozoites and male gametes. During …

Loss Of Symmetric Cell Division Of Apical Neural Progenitors Drives Dennd5a-Related Developmental And Epileptic Encephalopathy, Emily Banks, Vincent Francis, Sheng-Jia Lin, Fares Kharfallah, Vladimir Fonov, Maxime Lévesque, Chanshuai Han, Gopinath Kulasekaran, Marius Tuznik, Armin Bayati, Reem Al-Khater, Fowzan S Alkuraya, Loukas Argyriou, Meisam Babaei, Melanie Bahlo, Behnoosh Bakhshoodeh, Eileen Barr, Lauren Bartik, Mahmoud Bassiony, Miriam Bertrand, Dominique Braun, Rebecca Buchert, Mauro Budetta, Maxime Cadieux-Dion, Daniel G Calame, Heidi Cope, Donna Cushing, Stephanie Efthymiou, Marwa Abd Elmaksoud, Huda G El Said, Tawfiq Froukh, Harinder K Gill, Joseph G Gleeson, Laura Gogoll, Elaine S-Y Goh, Vykuntaraju K Gowda, Tobias B Haack, Mais O Hashem, Stefan Hauser, Trevor L Hoffman, Jacob S Hogue, Akimoto Hosokawa, Henry Houlden, Kevin Huang, Stephanie Huynh, Ehsan G Karimiani, Silke Kaulfuß, G Christoph Korenke, Amy Kritzer, Hane Lee, James R Lupski, Elysa J Marco, Kirsty Mcwalter, Arakel Minassian, Berge A Minassian, David Murphy, Juanita Neira-Fresneda, Hope Northrup, Denis M Nyaga, Barbara Oehl-Jaschkowitz, Matthew Osmond, Richard Person, Davut Pehlivan, Cassidy Petree, Lynette G Sadleir, Carol Saunders, Ludger Schoels, Vandana Shashi, Rebecca C Spillmann, Varunvenkat M Srinivasan, Paria N Torbati, Tulay Tos, Maha S Zaki, Dihong Zhou, Christiane Zweier, Jean-François Trempe, Thomas M Durcan, Ziv Gan-Or, Massimo Avoli, Cesar Alves, Gaurav K Varshney, Reza Maroofian, David A Rudko, Peter S Mcpherson

Faculty, Staff and Student Publications

Developmental and epileptic encephalopathies (DEEs) feature altered brain development, developmental delay and seizures, with seizures exacerbating developmental delay. Here we identify a cohort with biallelic variants in DENND5A, encoding a membrane trafficking protein, and develop animal models with phenotypes like the human syndrome. We demonstrate that DENND5A interacts with Pals1/MUPP1, components of the Crumbs apical polarity complex required for symmetrical division of neural progenitor cells. Human induced pluripotent stem cells lacking DENND5A fail to undergo symmetric cell division with an inherent propensity to differentiate into neurons. These phenotypes result from misalignment of the mitotic spindle in apical neural progenitors. Cells …

Gabaa Receptor Subunit Composition Regulates Circadian Rhythms In Rest–Wake And Synchrony Among Cells In The Suprachiasmatic Nucleus, Daniel Granados-Fuentes, Peter Lambert, Tatiana Simon, Steven Mennerick, Erik D Herzog

2020-Current year OA Pubs

The mammalian circadian clock located in the suprachiasmatic nucleus (SCN) produces robust daily rhythms including rest-wake. SCN neurons synthesize and respond to γ-aminobutyric acid (GABA), but its role remains unresolved. We tested the hypothesis that γ2- and δ-subunits of the GABA

Updates To The Alliance Of Genome Resources Central Infrastructure., The Alliance Of Genome Resources Consortium

Faculty Research 2024

The Alliance of Genome Resources (Alliance) is an extensible coalition of knowledgebases focused on the genetics and genomics of intensively studied model organisms. The Alliance is organized as individual knowledge centers with strong connections to their research communities and a centralized software infrastructure, discussed here. Model organisms currently represented in the Alliance are budding yeast, Caenorhabditis elegans, Drosophila, zebrafish, frog, laboratory mouse, laboratory rat, and the Gene Ontology Consortium. The project is in a rapid development phase to harmonize knowledge, store it, analyze it, and present it to the community through a web portal, direct downloads, and application programming interfaces …

Targeting Dendritic Cell Dysfunction To Circumvent Anti-Pd1 Resistance In Head And Neck Cancer, Shin Saito, Michihisa Kono, Hoang C B Nguyen, Ann Marie Egloff, Cameron Messier, Patrick Lizotte, Cloud Paweletz, Douglas Adkins, Ravindra Uppaluri

2020-Current year OA Pubs

PURPOSE: Neoadjuvant anti-PD1 (aPD1) therapies are being explored in surgically resectable head and neck squamous cell carcinoma (HNSCC). Encouraging responses have been observed, but further insights into the mechanisms underlying resistance and approaches to improve responses are needed.

EXPERIMENTAL DESIGN: We integrated data from syngeneic mouse oral carcinoma (MOC) models and neoadjuvant pembrolizumab HNSCC patient tumor RNA-sequencing data to explore the mechanism of aPD1 resistance. Tumors and tumor-draining lymph nodes (DLN) from MOC models were analyzed for antigen-specific priming. CCL5 expression was enforced in an aPD1-resistant model.

RESULTS: An aPD1-resistant mouse model showed poor priming in the tumor DLN due …

A Compendium Of Multi-Omics Data Illuminating Host Responses To Lethal Human Virus Infections, Amie J Eisfeld, Larissa B Thackray, Qing Tan, Michael S Diamond, Et Al.

2020-Current year OA Pubs

Human infections caused by viral pathogens trigger a complex gamut of host responses that limit disease, resolve infection, generate immunity, and contribute to severe disease or death. Here, we present experimental methods and multi-omics data capture approaches representing the global host response to infection generated from 45 individual experiments involving human viruses from the Orthomyxoviridae, Filoviridae, Flaviviridae, and Coronaviridae families. Analogous experimental designs were implemented across human or mouse host model systems, longitudinal samples were collected over defined time courses, and global multi-omics data (transcriptomics, proteomics, metabolomics, and lipidomics) were acquired by microarray, RNA sequencing, or mass spectrometry analyses. For …

Label-Aware Distance Mitigates Temporal And Spatial Variability For Clustering And Visualization Of Single-Cell Gene Expression Data, Shaoheng Liang, Jinzhuang Dou, Ramiz Iqbal, Ken Chen

Faculty, Staff and Student Publications

Clustering and visualization are essential parts of single-cell gene expression data analysis. The Euclidean distance used in most distance-based methods is not optimal. The batch effect, i.e., the variability among samples gathered from different times, tissues, and patients, introduces large between-group distance and obscures the true identities of cells. To solve this problem, we introduce Label-Aware Distance (LAD), a metric using temporal/spatial locality of the batch effect to control for such factors. We validate LAD on simulated data as well as apply it to a mouse retina development dataset and a lung dataset. We also found the utility of our …

Advances In Immunocompetent Mouse And Rat Models, Wen Bu, Yi Li

Center on Aging Staff Publications

Rodent models of breast cancer have played critical roles in our understanding of breast cancer development and progression as well as preclinical testing of cancer prevention and therapeutics. In this article, we first review the values and challenges of conventional genetically engineered mouse (GEM) models and newer iterations of these models, especially those with inducible or conditional regulation of oncogenes and tumor suppressors. Then, we discuss nongermline (somatic) GEM models of breast cancer with temporospatial control, made possible by intraductal injection of viral vectors to deliver oncogenes or to manipulate the genome of mammary epithelial cells. Next, we introduce the …

Novel Pan-Err Agonists Ameliorate Heart Failure Through Enhancing Cardiac Fatty Acid Metabolism And Mitochondrial Function, Weiyi Xu, Cyrielle Billon, Hui Li, Andrea Wilderman, Lei Qi, Andrea Graves, Jernie Rae Dela Cruz Rideb, Yuanbiao Zhao, Matthew Hayes, Keyang Yu, Mckenna Losby, Carissa S Hampton, Christiana M Adeyemi, Seok Jae Hong, Eleni Nasiotis, Chen Fu, Tae Gyu Oh, Weiwei Fan, Michael Downes, Ryan D Welch, Ronald M Evans, Aleksandar Milosavljevic, John K Walker, Brian C Jensen, Liming Pei, Thomas Burris, Lilei Zhang

Faculty, Staff and Students Publications

BACKGROUND: Cardiac metabolic dysfunction is a hallmark of heart failure (HF). Estrogen-related receptors ERRα and ERRγ are essential regulators of cardiac metabolism. Therefore, activation of ERR could be a potential therapeutic intervention for HF. However, in vivo studies demonstrating the potential usefulness of ERR agonist for HF treatment are lacking, because compounds with pharmacokinetics appropriate for in vivo use have not been available.

METHODS: Using a structure-based design approach, we designed and synthesized 2 structurally distinct pan-ERR agonists, SLU-PP-332 and SLU-PP-915. We investigated the effect of ERR agonist on cardiac function in a pressure overload-induced HF model in vivo. We …

Conserved And Divergent Gene Regulatory Programs Of The Mammalian Neocortex, Nathan R Zemke, Daofeng Li, Xiaoyu Zhuo, Vincent Xu, Ting Wang, Et Al.

2020-Current year OA Pubs

Divergence of cis-regulatory elements drives species-specific traits

Single-Cell Analysis Of Chromatin Accessibility In The Adult Mouse Brain, Songpeng Zu, Yang Eric Li, Et Al.

2020-Current year OA Pubs

Recent advances in single-cell technologies have led to the discovery of thousands of brain cell types; however, our understanding of the gene regulatory programs in these cell types is far from complete

Single-Cell Analysis Of Chromatin Accessibility In The Adult Mouse Brain, Songpeng Zu, Yang Eric Li, Kangli Wang, Ethan J Armand, Sainath Mamde, Maria Luisa Amaral, Yuelai Wang, Andre Chu, Yang Xie, Michael Miller, Jie Xu, Zhaoning Wang, Kai Zhang, Bojing Jia, Xiaomeng Hou, Lin Lin, Qian Yang, Seoyeon Lee, Bin Li, Samantha Kuan, Hanqing Liu, Jingtian Zhou, Antonio Pinto-Duarte, Jacinta Lucero, Julia Osteen, Michael Nunn, Kimberly A Smith, Bosiljka Tasic, Zizhen Yao, Hongkui Zeng, Zihan Wang, Jingbo Shang, M Margarita Behrens, Joseph R Ecker, Allen Wang, Sebastian Preissl, Bing Ren

Faculty, Staff and Student Publications

Recent advances in single-cell technologies have led to the discovery of thousands of brain cell types; however, our understanding of the gene regulatory programs in these cell types is far from complete1-4. Here we report a comprehensive atlas of candidate cis-regulatory DNA elements (cCREs) in the adult mouse brain, generated by analysing chromatin accessibility in 2.3 million individual brain cells from 117 anatomical dissections. The atlas includes approximately 1 million cCREs and their chromatin accessibility across 1,482 distinct brain cell populations, adding over 446,000 cCREs to the most recent such annotation in the mouse genome. The mouse brain cCREs are …

Brain-Wide Correspondence Of Neuronal Epigenomics And Distant Projections, Jingtian Zhou, Zhuzhu Zhang, May Wu, Hanqing Liu, Yan Pang, Anna Bartlett, Zihao Peng, Wubin Ding, Angeline Rivkin, Will N Lagos, Elora Williams, Cheng-Ta Lee, Paula Assakura Miyazaki, Andrew Aldridge, Qiurui Zeng, J L Angelo Salinda, Naomi Claffey, Michelle Liem, Conor Fitzpatrick, Lara Boggeman, Zizhen Yao, Kimberly A Smith, Bosiljka Tasic, Jordan Altshul, Mia A Kenworthy, Cynthia Valadon, Joseph R Nery, Rosa G Castanon, Neelakshi S Patne, Minh Vu, Mohammad Rashid, Matthew Jacobs, Tony Ito, Julia Osteen, Nora Emerson, Jasper Lee, Silvia Cho, Jon Rink, Hsiang-Hsuan Huang, António Pinto-Duartec, Bertha Dominguez, Jared B Smith, Carolyn O'Connor, Hongkui Zeng, Shengbo Chen, Kuo-Fen Lee, Eran A Mukamel, Xin Jin, M Margarita Behrens, Joseph R Ecker, Edward M Callaway

Faculty, Staff and Student Publications

Single-cell analyses parse the brain’s billions of neurons into thousands of ‘cell-type’ clusters residing in different brain structures1. Many cell types mediate their functions through targeted long-distance projections allowing interactions between specific cell types. Here we used epi-retro-seq2 to link single-cell epigenomes and cell types to long-distance projections for 33,034 neurons dissected from 32 different regions projecting to 24 different targets (225 source-to-target combinations) across the whole mouse brain. We highlight uses of these data for interrogating principles relating projection types to transcriptomics and epigenomics, and for addressing hypotheses about cell types and connections related to genetics. …

Single-Cell Dna Methylome And 3d Multi-Omic Atlas Of The Adult Mouse Brain, Hanqing Liu, Qiurui Zeng, Jingtian Zhou, Anna Bartlett, Bang-An Wang, Peter Berube, Wei Tian, Mia Kenworthy, Jordan Altshul, Joseph R Nery, Huaming Chen, Rosa G Castanon, Songpeng Zu, Yang Eric Li, Jacinta Lucero, Julia K Osteen, Antonio Pinto-Duarte, Jasper Lee, Jon Rink, Silvia Cho, Nora Emerson, Michael Nunn, Carolyn O'Connor, Zhanghao Wu, Ion Stoica, Zizhen Yao, Kimberly A Smith, Bosiljka Tasic, Chongyuan Luo, Jesse R Dixon, Hongkui Zeng, Bing Ren, M Margarita Behrens, Joseph R Ecker

Faculty, Staff and Student Publications

Cytosine DNA methylation is essential in brain development and is implicated in various neurological disorders. Understanding DNA methylation diversity across the entire brain in a spatial context is fundamental for a complete molecular atlas of brain cell types and their gene regulatory landscapes. Here we used single-nucleus methylome sequencing (snmC-seq3) and multi-omic sequencing (snm3C-seq)1 technologies to generate 301,626 methylomes and 176,003 chromatin conformation–methylome joint profiles from 117 dissected regions throughout the adult mouse brain. Using iterative clustering and integrating with companion whole-brain transcriptome and chromatin accessibility datasets, we constructed a methylation-based cell taxonomy with 4,673 cell groups and 274 …

Missense Mutations In Crx Homeodomain Cause Dominant Retinopathies Through Two Distinct Mechanisms, Yiqiao Zheng, Chi Sun, Xiaodong Zhang, Philip A Ruzycki, Shiming Chen

2020-Current year OA Pubs

Homeodomain transcription factors (HD TFs) are instrumental to vertebrate development. Mutations in HD TFs have been linked to human diseases, but their pathogenic mechanisms remain elusive. Here, we use

Evolutionary Action-Machine Learning Model Identifies Candidate Genes Associated With Early-Onset Coronary Artery Disease, Dillon Shapiro, Kwanghyuk Lee, Jennifer Asmussen, Thomas Bourquard, Olivier Lichtarge

Faculty, Staff and Students Publications

Background Coronary artery disease is a primary cause of death around the world, with both genetic and environmental risk factors. Although genome-wide association studies have linked >100 unique loci to its genetic basis, these only explain a fraction of disease heritability. Methods and Results To find additional gene drivers of coronary artery disease, we applied machine learning to quantitative evolutionary information on the impact of coding variants in whole exomes from the Myocardial Infarction Genetics Consortium. Using ensemble-based supervised learning, the Evolutionary Action-Machine Learning framework ranked each gene's ability to classify case and control samples and identified 79 significant associations. …

Targeting Gbm With An Oncolytic Picornavirus Svv-001 Alone And In Combination With Fractionated Radiation In A Novel Panel Of Orthotopic Pdx Models, Huiyuan Zhang, Yuchen Du, Lin Qi, Sophie Xiao, Frank K Braun, Mari Kogiso, Yulun Huang, Frank Huang, Aalaa Abdallah, Milagros Suarez, Sekar Karthick, Nabil M Ahmed, Vita S Salsman, Patricia A Baxter, Jack M Su, Daniel J Brat, Paul L Hellenbeck, Wan-Yee Teo, Akash J Patel, Xiao-Nan Li

Faculty, Staff and Students Publications

BACKGROUND: Animal models representing different molecular subtypes of glioblastoma multiforme (GBM) is desired for developing new therapies. SVV-001 is an oncolytic virus selectively targeting cancer cells. It's capacity of passing through the blood brain barrier makes is an attractive novel approach for GBM.

MATERIALS AND METHODS: 23 patient tumor samples were implanted into the brains of NOD/SCID mice (1 × 105 cells/mouse). Tumor histology, gene expression (RNAseq), and growth rate of the developed patient-derived orthotopic xenograft (PDOX) models were compared with the originating patient tumors during serial subtransplantations. Anti-tumor activities of SVV-001 were examined in vivo; and therapeutic efficacy validated …

A Guide To The Brain Initiative Cell Census Network Data Ecosystem, Michael Hawrylycz, Maryann E Martone, Giorgio A Ascoli, Jan G Bjaalie, Hong-Wei Dong, Satrajit S Ghosh, Jesse Gillis, Ronna Hertzano, David R Haynor, Patrick R Hof, Yongsoo Kim, Ed Lein, Yufeng Liu, Jeremy A Miller, Partha P Mitra, Eran Mukamel, Lydia Ng, David Osumi-Sutherland, Hanchuan Peng, Patrick L Ray, Raymond Sanchez, Aviv Regev, Alex Ropelewski, Richard H Scheuermann, Shawn Zheng Kai Tan, Carol L Thompson, Timothy Tickle, Hagen Tilgner, Merina Varghese, Brock Wester, Owen White, Hongkui Zeng, Brian Aevermann, David Allemang, Seth Ament, Thomas L Athey, Cody Baker, Katherine S Baker, Pamela M Baker, Anita Bandrowski, Samik Banerjee, Prajal Bishwakarma, Ambrose Carr, Min Chen, Roni Choudhury, Jonah Cool, Heather Creasy, Florence D'Orazi, Kylee Degatano, Benjamin Dichter, Song-Lin Ding, Tim Dolbeare, Joseph R Ecker, Rongxin Fang, Jean-Christophe Fillion-Robin, Timothy P Fliss, James Gee, Tom Gillespie, Nathan Gouwens, Guo-Qiang Zhang, Yaroslav O Halchenko, Nomi L Harris, Brian R Herb, Houri Hintiryan, Gregory Hood, Sam Horvath, Bingxing Huo, Dorota Jarecka, Shengdian Jiang, Farzaneh Khajouei, Elizabeth A Kiernan, Huseyin Kir, Lauren Kruse, Changkyu Lee, Boudewijn Lelieveldt, Yang Li, Hanqing Liu, Lijuan Liu, Anup Markuhar, James Mathews, Kaylee L Mathews, Chris Mezias, Michael I Miller, Tyler Mollenkopf, Shoaib Mufti, Christopher J Mungall, Joshua Orvis, Maja A Puchades, Lei Qu, Joseph P Receveur, Bing Ren, Nathan Sjoquist, Brian Staats, Daniel Tward, Cindy T J Van Velthoven, Quanxin Wang, Fangming Xie, Hua Xu, Zizhen Yao, Zhixi Yun, Yun Renee Zhang, W Jim Zheng, Brian Zingg

Faculty, Staff and Student Publications

Characterizing cellular diversity at different levels of biological organization and across data modalities is a prerequisite to understanding the function of cell types in the brain. Classification of neurons is also essential to manipulate cell types in controlled ways and to understand their variation and vulnerability in brain disorders. The BRAIN Initiative Cell Census Network (BICCN) is an integrated network of data-generating centers, data archives, and data standards developers, with the goal of systematic multimodal brain cell type profiling and characterization. Emphasis of the BICCN is on the whole mouse brain with demonstration of prototype feasibility for human and nonhuman …

Synthetic Errα/Β/Γ Agonist Induces An Errα-Dependent Acute Aerobic Exercise Response And Enhances Exercise Capacity, Cyrielle Billon, Sadichha Sitaula, Subhashis Banerjee, Ryan Welch, Bahaa Elgendy, Lamees Hegazy, Tae Gyu Oh, Melissa Kazantzis, Arindam Chatterjee, John Chrivia, Matthew E Hayes, Weiyi Xu, Angelica Hamilton, Janice M Huss, Lilei Zhang, John K Walker, Michael Downes, Ronald M Evans, Thomas P Burris

Faculty, Staff and Students Publications

Repetitive physical exercise induces physiological adaptations in skeletal muscle that improves exercise performance and is effective for the prevention and treatment of several diseases. Genetic evidence indicates that the orphan nuclear receptors estrogen receptor-related receptors (ERRs) play an important role in skeletal muscle exercise capacity. Three ERR subtypes exist (ERRα, β, and γ), and although ERRβ/γ agonists have been designed, there have been significant difficulties in designing compounds with ERRα agonist activity. Additionally, there are limited synthetic agonists that can be used to target ERRs in vivo. Here, we report the …

The Microbiome And Its Impact On Allogeneic Hematopoietic Cell Transplantation, Florent Malard, Robert R Jenq

Faculty, Staff and Student Publications

Allogeneic hematopoietic cell transplantation (alloHCT) is a standard curative therapy for a variety of benign and malignant hematological diseases. Previously, patients who underwent alloHCT were at high risk for complications with potentially life-threatening toxicities, including a variety of opportunistic infections as well as acute and chronic manifestations of graft-versus-host disease (GVHD), where the transplanted immune system can produce inflammatory damage to the patient. With recent advances, including newer conditioning regimens, advances in viral and fungal infection prophylaxis, and novel GVHD prophylactic and treatment strategies, improvements in clinical outcomes have steadily improved. One modality with great potential that has yet to …

Reshaping The Tumor Microenvironment With Oncolytic Viruses, Positive Regulation Of The Immune Synapse, And Blockade Of The Immunosuppressive Oncometabolic Circuitry, Teresa T Nguyen, Dong Ho Shin, Sagar Sohoni, Sanjay K Singh, Yisel Rivera-Molina, Hong Jiang, Xuejun Fan, Joy Gumin, Frederick F Lang, Christopher Alvarez-Breckenridge, Filipa Godoy-Vitorino, Lisha Zhu, W Jim Zheng, Lijie Zhai, Erik Ladomersky, Kristen L Lauing, Marta M Alonso, Derek A Wainwright, Candelaria Gomez-Manzano, Juan Fueyo

Faculty, Staff and Student Publications

Background: Oncolytic viruses are considered part of immunotherapy and have shown promise in preclinical experiments and clinical trials. Results from these studies have suggested that tumor microenvironment remodeling is required to achieve an effective response in solid tumors. Here, we assess the extent to which targeting specific mechanisms underlying the immunosuppressive tumor microenvironment optimizes viroimmunotherapy.

Methods: We used RNA-seq analyses to analyze the transcriptome, and validated the results using Q-PCR, flow cytometry, and immunofluorescence. Viral activity was analyzed by replication assays and viral titration. Kyn and Trp metabolite levels were quantified using liquid chromatography-mass spectrometry. Aryl hydrocarbon receptor (AhR) activation …

Chemotherapy Coupled To Macrophage Inhibition Induces T-Cell And B-Cell Infiltration And Durable Regression In Triple-Negative Breast Cancer, Swarnima Singh, Nigel Lee, Diego A Pedroza, Igor L Bado, Clark Hamor, Licheng Zhang, Sergio Aguirre, Jingyuan Hu, Yichao Shen, Yitian Xu, Yang Gao, Na Zhao, Shu-Hsia Chen, Ying-Wooi Wan, Zhandong Liu, Jeffrey T Chang, Daniel Hollern, Charles M Perou, Xiang H F Zhang, Jeffrey M Rosen

Duncan NRI Faculty and Staff Publications

Immunosuppressive elements within the tumor microenvironment, such as tumor-associated macrophages (TAM), can present a barrier to successful anti-tumor responses by cytolytic T cells. Here we employed preclinical syngeneic p53 null mouse models of triple-negative breast cancer (TNBC) to develop a treatment regimen that harnessed the immunostimulatory effects of low-dose cyclophosphamide coupled with the pharmacologic inhibition of TAMs using either a small molecule CSF1R inhibitor or an anti-CSF1R antibody. This therapeutic combination was effective in treating several highly aggressive TNBC murine mammary tumor and lung metastasis models. Single cell RNA sequencing characterized tumor-infiltrating lymphocytes (TIL) including helper T cells and antigen-presenting …