Digital Commons Network^™

A Bioengineered Probiotic For The Oral Delivery Of A Peptide Kv13 Channel Blocker To Treat Rheumatoid Arthritis, Yuqing Wang, Duolong Zhu, Laura C Ortiz-Velez, Jacob L Perry, Michael W Pennington, Joseph M Hyser, Robert A Britton, Christine Beeton

Faculty, Staff and Students Publications

New therapeutics that combine efficacy with limited side effects and can be delivered noninvasively are needed to adequately treat patients with rheumatoid arthritis (RA) and other autoimmune diseases. Kv1.3 channel-expressing CCR7− effector memory T (TEM) lymphocytes are significant players in the pathogenesis of multiple autoimmune diseases, and blocking Kv1.3 reduces disease severity in rat models of RA and patients with plaque psoriasis. However, peptide therapeutics require repeated injections, reducing patient compliance. We used a bioengineered Lactobacillus reuteri as an oral delivery method of a Kv1.3 blocker for immunomodulation in rat models of atopic dermatitis and RA. This study demonstrates a …

Differential Co-Expression Networks Of The Gut Microbiota Are Associated With Depression And Anxiety Treatment Resistance Among Psychiatric Inpatients, Dominique S Thompson, Chenlian Fu, Tanmay Gandhi, J Christopher Fowler, B Christopher Frueh, Benjamin L Weinstein, Joseph Petrosino, Julia K Hadden, Marianne Carlson, Cristian Coarfa, Alok Madan

Faculty, Staff and Students Publications

BACKGROUND: Comorbid anxiety and depression are common and are associated with greater disease burden than either alone. Our recent efforts have identified an association between gut microbiota dysfunction and severity of anxiety and depression. In this follow-up, we applied Differential Co-Expression Analysis (DiffCoEx) to identify potential gut microbiota biomarker(s) candidates of treatment resistance among psychiatric inpatients.

METHODS: In a sample of convenience, 100 psychiatric inpatients provided clinical data at admission and discharge; fecal samples were collected early during the hospitalization. Whole genome shotgun sequencing methods were used to process samples. DiffCoEx was used to identify clusters of microbial features significantly …

An Age-Dependent Immuno-Epidemiological Model With Distributed Recovery And Death Rates, Samiran Ghosh, Vitaly Volpert, Malay Banerjee

Faculty, Staff and Student Publications

The work is devoted to a new immuno-epidemiological model with distributed recovery and death rates considered as functions of time after the infection onset. Disease transmission rate depends on the intra-subject viral load determined from the immunological submodel. The age-dependent model includes the viral load, recovery and death rates as functions of age considered as a continuous variable. Equations for susceptible, infected, recovered and dead compartments are expressed in terms of the number of newly infected cases. The analysis of the model includes the proof of the existence and uniqueness of solution. Furthermore, it is shown how the model can …

Diverticular Disease And Cancer Risk: More Than A Gut Feeling, Veronika Fedirko, Scott Kopetz, Carrie R Daniel

Faculty, Staff and Student Publications

No abstract provided.

Childhood Adversities And Risk Of Posttraumatic Stress Disorder And Major Depression Following A Motor Vehicle Collision In Adulthood, H N Ziobrowski, S L House, D M Barch, Et Al.

2020-Current year OA Pubs

AIMS: Childhood adversities (CAs) predict heightened risks of posttraumatic stress disorder (PTSD) and major depressive episode (MDE) among people exposed to adult traumatic events. Identifying which CAs put individuals at greatest risk for these adverse posttraumatic neuropsychiatric sequelae (APNS) is important for targeting prevention interventions.

METHODS: Data came from

RESULTS: Most participants (90.9%) reported at least rarely having experienced some CA. Ever experiencing each CA other than emotional neglect was univariably associated with 3-month APNS (RRs = 1.31-1.60). Each CA frequency was also univariably associated with 3-month APNS (RRs = 1.65-2.45). In multivariable models, joint associations of CAs with 3-month …

Disabling Uncompetitive Inhibition Of Oncogenic Idh Mutations Drives Acquired Resistance, Junhua Lyu, Yuxuan Liu, Lihu Gong, Mingyi Chen, Yazan F Madanat, Yuannyu Zhang, Feng Cai, Zhimin Gu, Hui Cao, Pranita Kaphle, Yoon Jung Kim, Fatma N Kalkan, Helen Stephens, Kathryn E Dickerson, Min Ni, Weina Chen, Prapti Patel, Alice S Mims, Uma Borate, Amy Burd, Sheng F Cai, C Cameron Yin, M James You, Stephen S Chung, Robert H Collins, Ralph J Deberardinis, Xin Liu, Jian Xu

Faculty, Staff and Student Publications

Mutations in IDH genes occur frequently in acute myeloid leukemia (AML) and other human cancers to generate the oncometabolite R-2HG. Allosteric inhibition of mutant IDH suppresses R-2HG production in a subset of patients with AML; however, acquired resistance emerges as a new challenge, and the underlying mechanisms remain incompletely understood. Here we establish isogenic leukemia cells containing common IDH oncogenic mutations by CRISPR base editing. By mutational scanning of IDH single amino acid variants in base-edited cells, we describe a repertoire of IDH second-site mutations responsible for therapy resistance through disabling uncompetitive enzyme inhibition. Recurrent mutations at NADPH …

A Molecular Switch Between Mammalian Mll Complexes Dictates Response To Menin-Mll Inhibition, Yadira M Soto-Feliciano, Francisco J Sánchez-Rivera, Florian Perner, Douglas W Barrows, Edward R Kastenhuber, Yu-Jui Ho, Thomas Carroll, Yijun Xiong, Disha Anand, Alexey A Soshnev, Leah Gates, Mary Clare Beytagh, David Cheon, Shengqing Gu, X Shirley Liu, Andrei V Krivtsov, Maximiliano Meneses, Elisa De Stanchina, Richard M Stone, Scott A Armstrong, Scott W Lowe, C David Allis

Faculty, Staff and Student Publications

Menin interacts with oncogenic MLL1-fusion proteins, and small molecules that disrupt these associations are in clinical trials for leukemia treatment. By integrating chromatin-focused and genome-wide CRISPR screens with genetic, pharmacologic, and biochemical approaches, we discovered a conserved molecular switch between the MLL1-Menin and MLL3/4-UTX chromatin-modifying complexes that dictates response to Menin-MLL inhibitors. MLL1-Menin safeguards leukemia survival by impeding the binding of the MLL3/4-UTX complex at a subset of target gene promoters. Disrupting the Menin-MLL1 interaction triggers UTX-dependent transcriptional activation of a tumor-suppressive program that dictates therapeutic responses in murine and human leukemia. Therapeutic reactivation of this program using CDK4/6 inhibitors …

Histopathologic And Proteogenomic Heterogeneity Reveals Features Of Clear Cell Renal Cell Carcinoma Aggressiveness, Yize Li, Tung-Shing M Lih, Saravana M Dhanasekaran, Rahul Mannan, Lijun Chen, Marcin Cieslik, Yige Wu, Rita Jiu-Hsien Lu, David J Clark, Iga Kołodziejczak, Runyu Hong, Siqi Chen, Yanyan Zhao, Seema Chugh, Wagma Caravan, Nataly Naser Al Deen, Noshad Hosseini, Chelsea J Newton, Karsten Krug, Yuanwei Xu, Kyung-Cho Cho, Yingwei Hu, Yuping Zhang, Chandan Kumar-Sinha, Weiping Ma, Anna Calinawan, Matthew A Wyczalkowski, Michael C Wendl, Yuefan Wang, Shenghao Guo, Cissy Zhang, Anne Le, Aniket Dagar, Alex Hopkins, Hanbyul Cho, Felipe Da Veiga Leprevost, Xiaojun Jing, Guo Ci Teo, Wenke Liu, Melissa A Reimers, Russell Pachynski, Alexander J Lazar, Arul M Chinnaiyan, Brian A Van Tine, Bing Zhang, Karin D Rodland, Gad Getz, D R Mani, Pei Wang, Feng Chen, Galen Hostetter, Mathangi Thiagarajan, W Marston Linehan, David Fenyö, Scott D Jewell, Gilbert S Omenn, Rohit Mehra, Maciej Wiznerowicz, Ana I Robles, Mehdi Mesri, Tara Hiltke, Eunkyung An, Henry Rodriguez, Daniel W Chan, Christopher J Ricketts, Alexey I Nesvizhskii, Hui Zhang, Li Ding, Clinical Proteomic Tumor Analysis Consortium

Faculty, Staff and Students Publications

Clear cell renal cell carcinomas (ccRCCs) represent ∼75% of RCC cases and account for most RCC-associated deaths. Inter- and intratumoral heterogeneity (ITH) results in varying prognosis and treatment outcomes. To obtain the most comprehensive profile of ccRCC, we perform integrative histopathologic, proteogenomic, and metabolomic analyses on 305 ccRCC tumor segments and 166 paired adjacent normal tissues from 213 cases. Combining histologic and molecular profiles reveals ITH in 90% of ccRCCs, with 50% demonstrating immune signature heterogeneity. High tumor grade, along with BAP1 mutation, genome instability, increased hypermethylation, and a specific protein glycosylation signature define a high-risk disease subset, where UCHL1 …

Identification Of Collaborative Cross Mouse Strains Permissive To Salmonella Enterica Serovar Typhi Infection, Kishore Alugupalli, Sudeep Kothari, Matthew P Cravens, Justin A Walker, Darren T Dougharty, Gregory S. Dickinson, Louis A Gatto, Andreas J Bäumler, Tamding Wangdi, Darla R Miller, Fernando Pardo-Manuel De Villena, Linda D Siracusa

Department of Microbiology and Immunology Faculty Papers

Salmonella enterica serovar Typhi is the causative agent of typhoid fever restricted to humans and does not replicate in commonly used inbred mice. Genetic variation in humans is far greater and more complex than that in a single inbred strain of mice. The Collaborative Cross (CC) is a large panel of recombinant inbred strains which has a wider range of genetic diversity than laboratory inbred mouse strains. We found that the CC003/Unc and CC053/Unc strains are permissive to intraperitoneal but not oral route of S. Typhi infection and show histopathological changes characteristic of human typhoid. These CC strains are immunocompetent, …

Technology Meets Tils: Deciphering T Cell Function In The -Omics Era, William H Hudson, Andreas Wieland

Faculty, Staff and Students Publications

T cells are at the centerstage of cancer immunology due to their ability to recognize mutations within tumor cells and directly mediate cancer cell killing. Immunotherapies to rejuvenate exhausted T cell responses have transformed the clinical management of several malignancies. In parallel, the development of novel multidimensional analysis platforms such as single-cell RNA-sequencing and high-dimensional flow cytometry has yielded unprecedented insights into immune cell biology. This convergence has revealed substantial heterogeneity of tumor-infiltrating immune cells, both within single tumors, across tumor types, and among cancer patients. Here, we discuss the opportunities and challenges of studying the complex tumor microenvironment with …

Technology Meets Tils: Deciphering T Cell Function In The -Omics Era, William H Hudson, Andreas Wieland

Faculty, Staff and Students Publications

T cells are at the centerstage of cancer immunology due to their ability to recognize mutations within tumor cells and directly mediate cancer cell killing. Immunotherapies to rejuvenate exhausted T cell responses have transformed the clinical management of several malignancies. In parallel, the development of novel multidimensional analysis platforms such as single-cell RNA-sequencing and high-dimensional flow cytometry has yielded unprecedented insights into immune cell biology. This convergence has revealed substantial heterogeneity of tumor-infiltrating immune cells, both within single tumors, across tumor types, and among cancer patients. Here, we discuss the opportunities and challenges of studying the complex tumor microenvironment with …

Gene-Folic Acid Interactions And Risk Of Conotruncal Heart Defects: Results From The National Birth Defects Prevention Study, Daniel M Webber, Ming Li, Stewart L Macleod, Xinyu Tang, Joseph W Levy, Mohammad A Karim, Stephen W Erickson, Charlotte A Hobbs, The National Birth Defects Prevention Study

2020-Current year OA Pubs

Conotruncal heart defects (CTDs) are heart malformations that affect the cardiac outflow tract and typically cause significant morbidity and mortality. Evidence from epidemiological studies suggests that maternal folate intake is associated with a reduced risk of heart defects, including CTD. However, it is unclear if folate-related gene variants and maternal folate intake have an interactive effect on the risk of CTDs. In this study, we performed targeted sequencing of folate-related genes on DNA from 436 case families with CTDs who are enrolled in the National Birth Defects Prevention Study and then tested for common and rare variants associated with CTD. …

Use Of Serial Smartphone-Based Assessments To Characterize Diverse Neuropsychiatric Symptom Trajectories In A Large Trauma Survivor Cohort, Francesca L. Beaudoin, Xinming An, Archana Basu, Yinyao Ji, Mochuan Liu, Ronald C. Kessler, Robert F. Doughtery, Donglin Zeng, Kenneth A. Bollen, Stacey L. House, Jennifer S. Stevens, Thomas C. Neylan, Gari D. Clifford, Tanja Jovanovic, Sarah D. Linnstaedt, Laura T. Germine, Scott L. Rauch, John P. Haran, Alan B. Storrow, Christopher A. Lewandowski, Paul I. Musey, Phyllis L. Hendry, Sophia Sheikh, Christopher W. Jones, Brittany E. Punches, Michael C. Kurz, Robert A. Swor, Vishnu P. Murty, Meghan E. Mcgrath, Lauren A. Hudak, Jose L. Pascual, Elizabeth M. Datner, Anna M. Chang, Claire Pearson, David A. Peak, Roland C. Merchant, Robert M. Domeier, Niels K. Rathlev, Brian J. O'Neil, Paulina Sergot, Leon D. Sanchez, Steven E. Bruce, Justin T. Baker, Jutta Joormann, Mark W. Miller, Robert H. Pietrzak, Deanna M. Barch, Diego A. Pizzagalli, John F. Sheridan, Jordan W. Smoller, Steven E. Harte, James M. Elliott, Karestan C. Koenen, Kerry J. Ressler, Samuel A. Mclean

Emergency Medicine Articles

The authors sought to characterize adverse posttraumatic neuropsychiatric sequelae (APNS) symptom trajectories across ten symptom domains (pain, depression, sleep, nightmares, avoidance, re-experiencing, anxiety, hyperarousal, somatic, and mental/fatigue symptoms) in a large, diverse, understudied sample of motor vehicle collision (MVC) survivors. More than two thousand MVC survivors were enrolled in the emergency department (ED) and completed a rotating battery of brief smartphone-based surveys over a 2-month period. Measurement models developed from survey item responses were used in latent growth curve/mixture modeling to characterize homogeneous symptom trajectories. Associations between individual trajectories and pre-trauma and peritraumatic characteristics and traditional outcomes were compared, along …

Use Of Serial Smartphone-Based Assessments To Characterize Diverse Neuropsychiatric Symptom Trajectories In A Large Trauma Survivor Cohort, Francesca L Beaudoin, Xinming An, Archana Basu, Yinyao Ji, Mochuan Liu, Ronald C Kessler, Robert F Doughtery, Donglin Zeng, Kenneth A Bollen, Stacey L House, Jennifer S Stevens, Thomas C Neylan, Gari D Clifford, Tanja Jovanovic, Sarah D Linnstaedt, Laura T Germine, Scott L Rauch, John P Haran, Alan B Storrow, Christopher Lewandowski, Paul I Musey, Phyllis L Hendry, Sophia Sheikh, Christopher W Jones, Brittany E Punches, Michael C Kurz, Robert A Swor, Vishnu P Murty, Meghan E Mcgrath, Lauren A Hudak, Jose L Pascual, Elizabeth M Datner, Anna Marie Chang, Claire Pearson, David A Peak, Roland C Merchant, Robert M Domeier, Niels K Rathlev, Brian J O' Neil, Paulina Sergot, Leon D Sanchez, Steven E Bruce, Justin T Baker, Jutta Joormann, Mark W Miller, Robert H Pietrzak, Deanna M Barch, Diego A Pizzagalli, John F Sheridan, Jordan W Smoller, Steven E Harte, James M Elliott, Karestan C Koenen, Kerry J Ressler, Samuel A Mclean

Department of Emergency Medicine Faculty Papers

The authors sought to characterize adverse posttraumatic neuropsychiatric sequelae (APNS) symptom trajectories across ten symptom domains (pain, depression, sleep, nightmares, avoidance, re-experiencing, anxiety, hyperarousal, somatic, and mental/fatigue symptoms) in a large, diverse, understudied sample of motor vehicle collision (MVC) survivors. More than two thousand MVC survivors were enrolled in the emergency department (ED) and completed a rotating battery of brief smartphone-based surveys over a 2-month period. Measurement models developed from survey item responses were used in latent growth curve/mixture modeling to characterize homogeneous symptom trajectories. Associations between individual trajectories and pre-trauma and peritraumatic characteristics and traditional outcomes were compared, along …

Graph Theoretical Measures Of Fast Ripple Networks Improve The Accuracy Of Post-Operative Seizure Outcome Prediction, Shennan A Weiss, Itzhak Fried, Chengyuan Wu, Ashwini Sharan, Daniel Y. Rubinstein, Jerome Engel, Michael R Sperling, Richard J Staba

Department of Neurosurgery Faculty Papers

Fast ripples (FR) are a biomarker of epileptogenic brain, but when larger portions of FR generating regions are resected seizure freedom is not always achieved. To evaluate and improve the diagnostic accuracy of FR resection for predicting seizure freedom we compared the FR resection ratio (RR) with FR network graph theoretical measures. In 23 patients FR were semi-automatically detected and quantified in stereo EEG recordings during sleep. MRI normalization and co-registration localized contacts and relation to resection margins. The number of FR, and graph theoretical measures, which were spatial (i.e., FR rate-distance radius) or temporal correlational (i.e., FR mutual information), …

Benchmarking Outcomes For Molecularly Characterized Synchronous Oligo Metastatic Non-Small-Cell Lung Cancer Reveals Egfr Mutations To Be Associated With Longer Overall Survival, Brian De, Ahsan S Farooqi, Kyle G Mitchell, Ethan B Ludmir, Jeff Lewis, Waree Rinsurongkawong, Vadeerat Rinsurongkawong, J Jack Lee, Stephen G Swisher, Don L Gibbons, Jianjun Zhang, Xiuning Le, Yasir Y Elamin, Daniel R Gomez, Matthew S Ning, Steven H Lin, Zhongxing Liao, Joe Y Chang, Ara A Vaporciyan, John V Heymach, Mara B Antonoff, Saumil J Gandhi

Faculty, Staff and Student Publications

PURPOSE: Local consolidative therapy (LCT) for patients with synchronous oligometastatic non-small-cell lung cancer is an evolving treatment strategy, but outcomes following LCT stratified by genetic mutations have not been reported. We sought to identify genomic associations with overall survival (OS) and progression-free survival (PFS) for these patients.

METHODS: We identified all patients presenting between 2000 and 2017 with stage IV non-small-cell lung cancer and ≤ 3 synchronous metastatic sites. Patients were grouped according to mutational statuses. Primary outcomes included OS and PFS following initial diagnosis.

RESULTS: Of 194 included patients, 121 received comprehensive LCT to all sites of disease with …

Predicting The Risk Of A Clinical Event Using Longitudinal Data: The Generalized Landmark Analysis, Yi Yao, Liang Li, Brad Astor, Wei Yang, Tom Greene

Faculty, Staff and Student Publications

Background: In the development of prediction models for a clinical event, it is common to use the static prediction modeling (SPM), a regression model that relates baseline predictors to the time to event. In many situations, the data used in training and validation are from longitudinal studies, where predictor variables are time-varying and measured at clinical visits. But these data are not used in SPM. The landmark analysis (LA), previously proposed for dynamic prediction with longitudinal data, has interpretational difficulty when the baseline is not a risk-changing clinical milestone, as is often the case in observational studies of chronic disease …

Silencing Mir-146a-5p Protects Against Injury-Induced Osteoarthritis In Mice, Haocheng Qin, Cuicui Wang, Yonghua He, Aiwu Lu, Tiandao Li, Bo Zhang, Jie Shen

2020-Current year OA Pubs

Osteoarthritis (OA), the most prevalent joint disease and the leading cause of disability, remains an incurable disease largely because the etiology and pathogenesis underlying this degenerative process are poorly understood. Low-grade inflammation within joints is a well-established factor that disturbs joint homeostasis and leads to an imbalance between anabolic and catabolic processes in articular cartilage; however, the complexity of the network between inflammatory factors that often involves positive and negative feedback loops makes current anti-cytokine therapy ineffective. MicroRNAs (miRNAs) have emerged as key regulators to control inflammation, and aberrant miRNAs expression has recently been linked to OA pathophysiology. In the …

Use Of Serial Smartphone-Based Assessments To Characterize Diverse Neuropsychiatric Symptom Trajectories In A Large Trauma Survivor Cohort, Francesca L Beaudoin, Stacey L House, Deanna M Barch, Et Al.

2020-Current year OA Pubs

The authors sought to characterize adverse posttraumatic neuropsychiatric sequelae (APNS) symptom trajectories across ten symptom domains (pain, depression, sleep, nightmares, avoidance, re-experiencing, anxiety, hyperarousal, somatic, and mental/fatigue symptoms) in a large, diverse, understudied sample of motor vehicle collision (MVC) survivors. More than two thousand MVC survivors were enrolled in the emergency department (ED) and completed a rotating battery of brief smartphone-based surveys over a 2-month period. Measurement models developed from survey item responses were used in latent growth curve/mixture modeling to characterize homogeneous symptom trajectories. Associations between individual trajectories and pre-trauma and peritraumatic characteristics and traditional outcomes were compared, along …

Pdcm Finder: An Open Global Research Platform For Patient-Derived Cancer Models., Zinaida Perova, Mauricio Martinez, Tushar Mandloi, Federico Lopez Gomez, Csaba Halmagyi, Alex Follette, Jeremy Mason, Steven Neuhauser, Dale A. Begley, Debra M Krupke, Carol J Bult, Helen Parkinson, Tudor Groza

Faculty Research 2023

PDCM Finder (www.cancermodels.org) is a cancer research platform that aggregates clinical, genomic and functional data from patient-derived xenografts, organoids and cell lines. It was launched in April 2022 as a successor of the PDX Finder portal, which focused solely on patient-derived xenograft models. Currently the portal has over 6200 models across 13 cancer types, including rare paediatric models (17%) and models from minority ethnic backgrounds (33%), making it the largest free to consumer and open access resource of this kind. The PDCM Finder standardises, harmonises and integrates the complex and diverse data associated with PDCMs for the cancer community and …

Ageanno: A Knowledgebase Of Single-Cell Annotation Of Aging In Human, Kexin Huang, Hoaran Gong, Jingjing Guan, Lingxiao Zhang, Changbao Hu, Weiling Zhao, Liyu Huang, Wei Zhang, Pora Kim, Xiaobo Zhou

Faculty, Staff and Student Publications

Aging is a complex process that accompanied by molecular and cellular alterations. The identification of tissue-/cell type-specific biomarkers of aging and elucidation of the detailed biological mechanisms of aging-related genes at the single-cell level can help to understand the heterogeneous aging process and design targeted anti-aging therapeutics. Here, we built AgeAnno (https://relab.xidian.edu.cn/AgeAnno/#/), a knowledgebase of single cell annotation of aging in human, aiming to provide comprehensive characterizations for aging-related genes across diverse tissue-cell types in human by using single-cell RNA and ATAC sequencing data (scRNA and scATAC). The current version of AgeAnno houses 1 678 610 cells from 28 healthy …

Spascer: Spatial Transcriptomics Annotation At Single-Cell Resolution, Zhiwei Fan, Yangyang Luo, Huifen Lu, Tiangang Wang, Yuzhou Feng, Weiling Zhao, Pora Kim, Xiaobo Zhou

Faculty, Staff and Student Publications

In recent years, the explosive growth of spatial technologies has enabled the characterization of spatial heterogeneity of tissue architectures. Compared to traditional sequencing, spatial transcriptomics reserves the spatial information of each captured location and provides novel insights into diverse spatially related biological contexts. Even though two spatial transcriptomics databases exist, they provide limited analytical information. Information such as spatial heterogeneity of genes and cells, cell-cell communication activities in space, and the cell type compositions in the microenvironment are critical clues to unveil the mechanism of tumorigenesis and embryo differentiation. Therefore, we constructed a new spatial transcriptomics database, named SPASCER (https://ccsm.uth.edu/SPASCER), …

Pickles V3: The Updated Database Of Pooled In Vitro Crispr Knockout Library Essentiality Screens, Lance C Novak, Juihsuan Chou, Medina Colic, Christopher A Bristow, Traver Hart

Faculty, Staff and Student Publications

PICKLES (https://pickles.hart-lab.org) is an updated web interface to a freely available database of genome-scale CRISPR knockout fitness screens in human cell lines. Using a completely rewritten interface, researchers can explore gene knockout fitness phenotypes across cell lines and tissue types and compare fitness profiles with fitness, expression, or mutation profiles of other genes. The database has been updated to include data from three CRISPR libraries (Avana, Score, and TKOv3), and includes information from 1162 whole-genome screens probing the knockout fitness phenotype of 18 959 genes. Source code for the interface and the integrated database are available for download.

Qualitative Study Of Pathways To Care Among Adults With Diabetes In Rural Guatemala, Anita Nandkumar Chary, Meghna Nandi, David Flood, Scott Tschida, Katharine Wilcox, Sophie Kurschner, Pablo Garcia, Peter Rohloff

Faculty, Staff and Students Publications

OBJECTIVE: The burden of diabetes mellitus is increasing in low-income and middle-income countries (LMICs). Few studies have explored pathways to care among individuals with diabetes in LMICs. This study evaluates care trajectories among adults with diabetes in rural Guatemala.

DESIGN: A qualitative investigation was conducted as part of a population-based study assessing incidence and risk factors for chronic kidney disease in two rural sites in Guatemala. A random sample of 807 individuals had haemoglobin A1c (HbA1c) screening for diabetes in both sites. Based on results from the first 6 months of the population study, semistructured interviews were performed with 29 …

Immune Environment And Antigen Specificity Of The T Cell Receptor Repertoire Of Malignant Ascites In Ovarian Cancer, Kyoko Yoshida-Court, Tatiana V Karpinets, Aparna Mitra, Travis N Solley, Stephanie Dorta-Estremera, Travis T Sims, Andrea Y Delgado Medrano, Molly B El Alam, Mustapha Ahmed-Kaddar, Erica J Lynn, K Jagannadha Sastry, Jianhua Zhang, Andrew Futreal, Alpa Nick, Karen Lu, Lauren E Colbert, Ann H Klopp

Faculty, Staff and Student Publications

We evaluated the association of disease outcome with T cell immune-related characteristics and T cell receptor (TCR) repertoire in malignant ascites from patients with high-grade epithelial ovarian cancer. Ascitic fluid samples were collected from 47 high-grade epithelial ovarian cancer patients and analyzed using flow cytometry and TCR sequencing to characterize the complementarity determining region 3 TCR β-chain. TCR functions were analyzed using the McPAS-TCR and VDJ databases. TCR clustering was implemented using Grouping of Lymphocyte Interactions by Paratope Hotspots software. Patients with poor prognosis had ascites characterized by an increased ratio of CD8+ T cells to regulatory T cells, which …

Multimodal Brain Age Estimates Relate To Alzheimer Disease Biomarkers And Cognition In Early Stages: A Cross-Sectional Observational Study, Peter R Millar, Brian A Gordon, Patrick H Luckett, Tammie L S Benzinger, Carlos Cruchaga, Anne M Fagan, Jason J Hassenstab, Richard J Perrin, Suzanne E Schindler, Randall J Bateman, John C Morris, Beau M Ances, Et Al.

2020-Current year OA Pubs

BACKGROUND: Estimates of 'brain-predicted age' quantify apparent brain age compared to normative trajectories of neuroimaging features. The brain age gap (BAG) between predicted and chronological age is elevated in symptomatic Alzheimer disease (AD) but has not been well explored in presymptomatic AD. Prior studies have typically modeled BAG with structural MRI, but more recently other modalities, including functional connectivity (FC) and multimodal MRI, have been explored.

METHODS: We trained three models to predict age from FC, structural (S), or multimodal MRI (S+FC) in 390 amyloid-negative cognitively normal (CN/A-) participants (18-89 years old). In independent samples of 144 CN/A-, 154 CN/A+, …

Civicdb 2022: Evolution Of An Open-Access Cancer Variant Interpretation Knowledgebase, Kilannin Krysiak, Arpad M Danos, Jason Saliba, Joshua F Mcmichael, Adam C Coffman, Susanna Kiwala, Erica K Barnell, Lana Sheta, Lynzey Kujan, Shahil Pema, Nicholas C Spies, Kaitlin A Clark, Ajay C Venigalla, Avila Suda, Benjamin J Ainscough, Haolin Shen, Alex R Marr, My H Hoang, Kartik Singhal, Mariam Khanfar, Brian V Li, Katie M Campbell, Kelsy C Cotto, Zachary L Skidmore, Jason R Walker, Malachi Griffith, Obi L Griffith, Et Al.

2020-Current year OA Pubs

CIViC (Clinical Interpretation of Variants in Cancer; civicdb.org) is a crowd-sourced, public domain knowledgebase composed of literature-derived evidence characterizing the clinical utility of cancer variants. As clinical sequencing becomes more prevalent in cancer management, the need for cancer variant interpretation has grown beyond the capability of any single institution. CIViC contains peer-reviewed, published literature curated and expertly-moderated into structured data units (Evidence Items) that can be accessed globally and in real time, reducing barriers to clinical variant knowledge sharing. We have extended CIViC's functionality to support emergent variant interpretation guidelines, increase interoperability with other variant resources, and promote widespread dissemination …

Protocol For The Phase 2 Edelife Trial Investigating The Efficacy And Safety Of Intra-Amniotic Er004 Administration To Male Subjects With X-Linked Hypohidrotic Ectodermal Dysplasia, Holm Schneider, Smail Hadj-Rabia, Florian Faschingbauer, Christine Bodemer, Dorothy K Grange, Mary E Norton, Riccardo Cavalli, Gianluca Tadini, Holger Stepan, Angus Clarke, Encarna Guillén-Navarro, Sigrun Maier-Wohlfart, Athmane Bouroubi, Florence Porte

2020-Current year OA Pubs

X-linked hypohidrotic ectodermal dysplasia (XLHED) is a rare genetic disorder characte-rised by abnormal development of the skin and its appendages, such as hair and sweat glands, the teeth, and mucous glands of the airways, resulting in serious, sometimes life-threatening complications like hyperthermia or recurrent respiratory infections. It is caused by pathogenic variants of the ectodysplasin A gene (

Civicdb 2022: Evolution Of An Open-Access Cancer Variant Interpretation Knowledgebase, Kilannin Krysiak, Arpad M Danos, Jason Saliba, Joshua F Mcmichael, Adam C Coffman, Susanna Kiwala, Erica K Barnell, Lana Sheta, Cameron J Grisdale, Lynzey Kujan, Shahil Pema, Jake Lever, Sarah Ridd, Nicholas C Spies, Veronica Andric, Andreea Chiorean, Damian T Rieke, Kaitlin A Clark, Caralyn Reisle, Ajay C Venigalla, Mark Evans, Payal Jani, Hideaki Takahashi, Avila Suda, Peter Horak, Deborah I Ritter, Xin Zhou, Benjamin J Ainscough, Sean Delong, Chimene Kesserwan, Mario Lamping, Haolin Shen, Alex R Marr, My H Hoang, Kartik Singhal, Mariam Khanfar, Brian V Li, Wan-Hsin Lin, Panieh Terraf, Laura B Corson, Yasser Salama, Katie M Campbell, Kirsten M Farncombe, Jianling Ji, Xiaonan Zhao, Xinjie Xu, Rashmi Kanagal-Shamanna, Ian King, Kelsy C Cotto, Zachary L Skidmore, Jason R Walker, Jinghui Zhang, Aleksandar Milosavljevic, Ronak Y Patel, Rachel H Giles, Raymond H Kim, Lynn M Schriml, Elaine R Mardis, Steven J M Jones, Gordana Raca, Shruti Rao, Subha Madhavan, Alex H Wagner, Malachi Griffith, Obi L Griffith

Faculty, Staff and Students Publications

CIViC (Clinical Interpretation of Variants in Cancer; civicdb.org) is a crowd-sourced, public domain knowledgebase composed of literature-derived evidence characterizing the clinical utility of cancer variants. As clinical sequencing becomes more prevalent in cancer management, the need for cancer variant interpretation has grown beyond the capability of any single institution. CIViC contains peer-reviewed, published literature curated and expertly-moderated into structured data units (Evidence Items) that can be accessed globally and in real time, reducing barriers to clinical variant knowledge sharing. We have extended CIViC's functionality to support emergent variant interpretation guidelines, increase interoperability with other variant resources, and promote widespread dissemination …

Rbp Image Database: A Resource For The Systematic Characterization Of The Subcellular Distribution Properties Of Human Rna Binding Proteins, Louis Philip Benoit Bouvrette, Xiaofeng Wang, Jonathan Boulais, Jian Kong, Easin Uddin Syed, Steven M Blue, Lijun Zhan, Sara Olson, Rebecca Stanton, Xintao Wei, Brian Yee, Eric L Van Nostrand, Xiang-Dong Fu, Christopher B Burge, Brenton R Graveley, Gene W Yeo, Eric Lécuyer

Faculty, Staff and Students Publications

RNA binding proteins (RBPs) are central regulators of gene expression implicated in all facets of RNA metabolism. As such, they play key roles in cellular physiology and disease etiology. Since different steps of post-transcriptional gene expression tend to occur in specific regions of the cell, including nuclear or cytoplasmic locations, defining the subcellular distribution properties of RBPs is an important step in assessing their potential functions. Here, we present the RBP Image Database, a resource that details the subcellular localization features of 301 RBPs in the human HepG2 and HeLa cell lines, based on the results of systematic immuno-fluorescence studies …