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Adelman, ER; Huang, HT; Roisman, A; Olsson, A; Colaprico, A; Qin, T; Lindsley, RC; Bejar, R; Salomonis, N; Grimes, HL; et al. Aging Human Hematopoietic Stem Cells Manifest Profound Epigenetic Reprogramming of Enhancers That May Predispose to Leukemia. Cancer Discovery. 2019; 9:1080-1101.

Al Mahi, N; Najafabadi, MF; Pilarczyk, M; Kouril, M; Medvedovic, M. GREIN: An Interactive Web Platform for Re-analyzing GEO RNA-seq Data. Scientific Reports. 2019; 9.

Andorf, S; Bhattacharya, S; Gaudilliere, B; Shaw, GM; Stevenson, DK; Butte, AJ; Sirota, M. A pilot study showing a stronger H1N1 influenza vaccination response during pregnancy in women who subsequently deliver preterm. Journal of Reproductive Immunology. 2019; 132:16-20.

Andorf, S; Purington, N; Kumar, D; Long, A; O'Laughlin, KL; Sicherer, S; Sampson, H; Cianferoni, A; Whitehorn, TB; Petroni, D; et al. A Phase 2 Randomized Controlled Multisite Study Using Omalizumab-facilitated Rapid Desensitization to Test Continued vs Discontinued Dosing in Multifood Allergic Individuals. EClinicalMedicine. 2019; 7:27-38.

Bayram, U; Pestian, J; Santel, D; Minai, AA. (2019) What's in a Word? Detecting Partisan Affiliation from Word Use in Congressional Speeches. IEEE. 2019-July.

Brokamp, C; Beck, AF; Goyal, NK; Ryan, P; Greenberg, JM; Hall, ES. Material community deprivation and hospital utilization during the first year of life: an urban population-based cohort study. Annals of Epidemiology. 2019; 30:37-43.

Carpenter, TP; Pogacar, R; Pullig, C; Kouril, M; Aguilar, S; LaBouff, J; Isenberg, N; Chakroff, A. Survey-software implicit association tests: A methodological and empirical analysis. Behavior Research Methods. 2019; 51:2194-2208.

Chen, J; Xu, H; Jegga, A; Zhang, K; White, PS; Zhang, G. Novel phenotype-disease matching tool for rare genetic diseases. Genetics in Medicine. 2019; 88:341-348.

Chinthrajah, RS; Purington, N; Andorf, S; Long, A; O'Laughlin, KL; Lyu, SC; Manohar, M; Boyd, SD; Tibshirani, R; Maecker, H; et al. Sustained outcomes in oral immunotherapy for peanut allergy (POISED study): a large, randomised, double-blind, placebo-controlled, phase 2 study. The Lancet. 2019; 394:1437-1449.

Denson, LA; Jurickova, I; Karns, R; Shaw, KA; Cutler, DJ; Okou, D; Valencia, CA; Dodd, A; Mondal, K; Aronow, BJ; et al. Genetic and Transcriptomic Variation Linked to Neutrophil Granulocyte-Macrophage Colony-Stimulating Factor Signaling in Pediatric Crohn's Disease. Inflammatory Bowel Diseases. 2019; 25:547-560.

DePasquale, EA K; Schnell, D; Dexheimer, P; Ferchen, K; Hay, S; Chetal, K; Valiente-Alandí, Í; Blaxall, BC; Grimes, HL; Salomonis, N. cellHarmony: cell-level matching and holistic comparison of single-cell transcriptomes. Nucleic Acids Research. 2019; 47:e138-e138.

DePasquale, EA K; Schnell, DJ; Van Camp, PJ; Valiente-Alandí, Í; Blaxall, BC; Grimes, HL; Singh, H; Salomonis, N. DoubletDecon: Deconvoluting Doublets from Single-Cell RNA-Sequencing Data. Cell Reports. 2019; 29:1718-1727.e8.

Dexheimer, JW; Beal, SJ; Divekar, P; Hall, ES; Patel, V; Greiner, MV. Automated patient linking for electronic health record and child welfare databases. Journal of Technology in Human Services. 2019; 37:286-292.

Dexheimer, JW; Tang, H; Kachelmeyer, A; Hounchell, M; Kennebeck, S; Solti, I; Ni, Y. A Time-and-Motion Study of Clinical Trial Eligibility Screening in a Pediatric Emergency Department. Pediatric Emergency Care. 2019; 35:868-873.

Dorn, LE; Lasman, L; Chen, J; Xu, X; Hund, TJ; Medvedovic, M; Hanna, JH; van Berlo, JH; Accornero, F. The N-6-Methyladenosine mRNA Methylase METTL3 Controls Cardiac Homeostasis and Hypertrophy. Circulation. 2019; 139:533-545.

Du, Y; Clair, GC; Al Alam, D; Danopoulos, S; Schnell, D; Kitzmiller, JA; Misra, RS; Bhattacharya, S; Warburton, D; Mariani, TJ; et al. Integration of transcriptomic and proteomic data identifies biological functions in cell populations from human infant lung. American Journal of Physiology: Lung Cellular and Molecular Physiology. 2019; 317:L347-L360.

Dwivedi, P; Muench, DE; Wagner, M; Azam, M; Grimes, HL; Greis, KD. Time resolved quantitative phospho-tyrosine analysis reveals Bruton's Tyrosine kinase mediated signaling downstream of the mutated granulocyte-colony stimulating factor receptors. Leukemia. 2019; 33:75-87.

Dwivedi, P; Muench, DE; Wagner, M; Azam, M; Grimes, HL; Greis, KD. Phospho serine and threonine analysis of normal and mutated granulocyte colony stimulating factor receptors. Scientific Data. 2019; 6.

Ebert, A; Joshi, AU; Andorf, S; Dai, Y; Sampathkumar, S; Chen, H; Li, Y; Garg, P; Toischer, K; Hasenfuss, G; et al. Proteasome-Dependent Regulation of Distinct Metabolic States During Long-Term Culture of Human iPSC-Derived Cardiomyocytes. Circulation Research. 2019; 125:90-103.

Fadini, GP; Sarangdhar, M; De Ponti, F; Avogaro, A; Raschi, E. Pharmacovigilance assessment of the association between Fournier's gangrene and other severe genital adverse events with SGLT-2 inhibitors. BMJ Open Diabetes Research and Care. 2019; 7:e000725-e000725.

Fletcher, JS; Wu, J; Jessen, WJ; Pundavela, J; Miller, JA; Dombi, E; Kim, M; Rizvi, TA; Chetal, K; Salomonis, N; et al. Cxcr3-expressing leukocytes are necessary for neurofibroma formation in mice. JCI insight. 2019; 4.

Greiner, MV; Beal, SJ; Dexheimer, JW; Divekar, P; Patel, V; Hall, ES. Improving Information Sharing for Youth in Foster Care. Pediatrics. 2019; 144:e20190580-e20190580.

Haberman, Y; Karns, R; Dexheimer, PJ; Schirmer, M; Somekh, J; Jurickova, I; Braun, T; Novak, E; Bauman, L; Collins, MH; et al. Ulcerative colitis mucosal transcriptomes reveal mitochondriopathy and personalized mechanisms underlying disease severity and treatment response. Nature Communications. 2019; 10.

Haberman, Y; Schirmer, M; Dexheimer, PJ; Karns, R; Braun, T; Kim, M; Walters, TD; Baldassano, RN; Noe, JD; Rosh, J; et al. Age-of-diagnosis dependent ileal immune intensification and reduced alpha-defensin in older versus younger pediatric Crohn Disease patients despite already established dysbiosis. Mucosal Immunology. 2019; 12:491-502.

Hagedorn, PA; Kirkendall, ES; Spooner, SA; Mohan, V. Inpatient Communication Networks: Leveraging Secure Text-Messaging Platforms to Gain Insight into Inpatient Communication Systems. Applied Clinical Informatics. 2019; 10:471-478.

Hall, ES; McAllister, JM; Wexelblatt, SL. Developmental Disorders and Medical Complications Among Infants with Subclinical Intrauterine Opioid Exposures. Population Health Management. 2019; 22:19-24.

Helbig, I; Lopez-Hernandez, T; Shor, O; Galer, P; Ganesan, S; Pendziwiat, M; Rademacher, A; Ellis, CA; Hümpfer, N; Schwarz, N; et al. A Recurrent Missense Variant in AP2M1 Impairs Clathrin-Mediated Endocytosis and Causes Developmental and Epileptic Encephalopathy. The American Journal of Human Genetics. 2019; 104:1060-1072.

Higashi, AY; Aronow, BJ; Dressler, GR. Expression Profiling of Fibroblasts in Chronic and Acute Disease Models Reveals Novel Pathways in Kidney Fibrosis. Journal of the American Society of Nephrology : JASN. 2019; 30:80-94.

Hripcsak, G; Shang, N; Peissig, PL; Rasmussen, LV; Liu, C; Benoit, B; Carroll, RJ; Carrell, DS; Denny, JC; Dikilitas, O; et al. Facilitating phenotype transfer using a common data model. Journal of Biomedical Informatics. 2019; 96:103253-103253.

Huang, Y; Arora, K; Mun, KS; Yang, F; Moon, C; Yarlagadda, S; Jegga, A; Weaver, T; Naren, AP. Targeting DNAJB9, a novel ER luminal co-chaperone, to rescue Delta F508-CFTR. Scientific Reports. 2019; 9.

Hulin, A; Hortells, L; Gomez-Stallons, MV; O'Donnell, A; Chetal, K; Adam, M; Lancellotti, P; Oury, C; Potter, SS; Salomonis, N; et al. Maturation of heart valve cell populations during postnatal remodeling. Development (Cambridge). 2019; 146:dev173047-dev173047.

Kasam, RK; Reddy, GB; Jegga, AG; Madala, SK. Dysregulation of Mesenchymal Cell Survival Pathways in Severe Fibrotic Lung Disease: The Effect of Nintedanib Therapy. Frontiers in Pharmacology. 2019; 10.

Kirkendall, ES; Ni, Y; Lingren, T; Leonard, M; Hall, ES; Melton, K. Data Challenges With Real-Time Safety Event Detection And Clinical Decision Support. Journal of Medical Internet Research. 2019; 21:e13047-e13047.

Kozlovski, T; Mitelpunkt, A; Thaler, A; Gurevich, T; Orr-Urtreger, A; Gana-Weisz, M; Shachar, N; Galili, T; Marcus-Kalish, M; Bressman, S; et al. Hierarchical data-driven analysis of clinical symptoms among patients with Parkinson's disease. Frontiers in Neurology. 2019; 10:1-7.

Kurowski, BG; Treble-Barna, A; Pilipenko, V; Wade, SL; Yeates, KO; Taylor, HG; Martin, LJ; Jegga, AG. Genetic Influences on Behavioral Outcomes After Childhood TBI: A Novel Systems Biology-Informed Approach. Frontiers in Genetics. 2019; 10.

Lee, M; Hall, ES; DeFranco, E. Contribution of previable births to infant mortality rate racial disparity in the United States. Journal of Perinatology. 2019; 39:1190-1195.

Lewis, CS; Thomas, HE; Orr-Asman, MA; Green, LC; Boody, RE; Matiash, K; Karve, A; Hisada, YM; Davis, HW; Qi, X; et al. mTOR kinase inhibition reduces tissue factor expression and growth of pancreatic neuroendocrine tumors. Journal of Thrombosis and Haemostasis. 2019; 17:169-182.

Li, T; Fang, Z; Peng, H; Zhou, J; Liu, P; Wang, Y; Zhu, W; Zhang, Q; Chen, L; Li, L; et al. Application of high-throughput amplicon sequencing-based SSR genotyping in genetic background screening. BMC Genomics. 2019; 20.

Liu, L; Ni, Y; Zhang, N; Pratap, JN. Mining patient-specific and contextual data with machine learning technologies to predict cancellation of children's surgery. International Journal of Medical Informatics. 2019; 129:234-241.

Ljungberg, MC; Sadi, M; Wang, Y; Aronow, BJ; Xu, Y; Kao, RJ; Liu, Y; Gaddis, N; Ardini-Poleske, ME; Umrod, T; et al. Spatial distribution of marker gene activity in the mouse lung during alveolarization. Data in Brief. 2019; 22:365-372.

Mitelpunkt, A; Kramer, U; Hausman Kedem, M; Zilbershot Fink, E; Orbach, R; Chernuha, V; Fattal-Valevski, A; Deutsch, L; Heffetz, D; Sacks, H. The safety, tolerability, and effectiveness of PTL-101, an oral cannabidiol formulation, in pediatric intractable epilepsy: A phase II, open-label, single-center study. Epilepsy and Behavior. 2019; 98:233-237.

Namjou, B; Lingren, T; Huang, Y; Parameswaran, S; Cobb, BL; Stanaway, IB; Connolly, JJ; Mentch, FD; Benoit, B; Niu, X; et al. GWAS and enrichment analyses of non-alcoholic fatty liver disease identify new trait-associated genes and pathways across eMERGE Network. BMC Medicine. 2019; 17.

Nasimuzzaman, M; Arumugam, PI; Mullins, ES; James, JM; Vanden Heuvel, K; Narciso, MG; Shaw, MA; McGraw, S; Aronow, BJ; Malik, P. Elimination of the fibrinogen integrin aMb2-binding motif improves renal pathology in mice with sickle cell anemia. Blood Advances. 2019; 3:1519-1532.

Nenni, MJ; Fisher, ME; James-Zorn, C; Pells, TJ; Ponferrada, V; Chu, S; Fortriede, JD; Burns, KA; Wang, Y; Lotay, VS; et al. Xenbase: Facilitating the Use of Xenopus to Model Human Disease. Frontiers in Physiology. 2019; 10.

Ni, Y; Bermudez, M; Kennebeck, S; Liddy-Hicks, S; Dexheimer, J. Designing and evaluating a real-time automated patient screening system in an emergency department. Journal of Medical Internet Research. 2019; 7:e14185-e14185.

Nielsen, SC A; Roskin, KM; Jackson, KJ L; Joshi, SA; Nejad, P; Lee, J; Wagar, LE; Pham, TD; Hoh, RA; Nguyen, KD; et al. Shaping of infant B cell receptor repertoires by environmental factors and infectious disease. Science Translational Medicine. 2019; 11:eaat2004-eaat2004.

Panmanee, W; Su, S; Schurr, MJ; Lau, GW; Zhu, X; Ren, Z; McDaniel, CT; Lu, LJ; Ohman, DE; Muruve, DA; et al. The anti-sigma factor MucA of Pseudomonas aeruginosa: Dramatic differences of a mucA22 vs. a Delta mucA mutant in anaerobic acidified nitrite sensitivity of planktonic and biofilm bacteria in vitro and during chronic murine lung infection. PLoS ONE. 2019; 14:e0216401-e0216401.

Percy, Z; DeFranco, E; Xu, F; Hall, ES; Haynes, EN; Jones, D; Muglia, LJ; Chen, A. Trimester specific PM2.5 exposure and fetal growth in Ohio, 2007-2010. Environmental Research. 2019; 171:111-118.

Peters, AL; Luo, Z; Li, J; Mourya, R; Wang, Y; Dexheimer, P; Shivakumar, P; Aronow, B; Bezerra, JA. Single cell RNA sequencing reveals regional heterogeneity of hepatobiliary innate lymphoid cells in a tissue-enriched fashion. PLoS ONE. 2019; 14:e0215481-e0215481.

Pogacar, R; Carpenter, TP; Shenk, CE; Kouril, M. Tools and methods for measuring implicit consumer cognition. Handbook of Research Methods in Consumer Psychology. : Routledge; Routledge; 2019.

Porat Rein, A; Kramer, U; Mitelpunkt, A. Development of Ontology for Self-limited Epilepsy with Centrotemporal Spikes and Application of Data Mining Algorithms to Identify New Subtypes. The Israel Medical Association journal : IMAJ. 2019; 21.

Ramsey, LB; Prows, CA; Zhang, K; Saldana, SN; Sorter, MT; Pestian, JP; Wenstrup, RJ; Vinks, AA; Glauser, TA. Implementation of Pharmacogenetics at Cincinnati Children's Hospital Medical Center: Lessons Learned Over 14 Years of Personalizing Medicine. Clinical Pharmacology and Therapeutics. 2019; 105:49-52.

Rossi, RM; Hall, E; DeFranco, EA. Contemporary Trends in Cesarean Delivery Utilization for Live Births Between 22 0/7 and 23 6/7 Weeks of Gestation. Obstetrics and Gynecology. 2019; 133:451-458.

Rossi, RM; Hall, E; Dufendach, K; DeFranco, EA. Predictive Model of Factors Associated With Maternal Intensive Care Unit Admission. Obstetrics and Gynecology. 2019; 134:216-224.

Rossi, RM; Requarth, EW; Warshak, CR; Dufendach, K; Hall, ES; DeFranco, EA. Predictive Model for Failed Induction of Labor Among Obese Women. Obstetrics and Gynecology. 2019; 134:485-493.

Salomonis, N. Investigating cell fate decisions with ICGS analysis of single cells. Methods in molecular biology (Clifton, N.J.). 2019; 1975:251-275.

Schrode, N; Ho, SM; Yamamuro, K; Dobbyn, A; Huckins, L; Matos, MR; Cheng, E; Deans, PJ M; Flaherty, E; Barretto, N; et al. Synergistic effects of common schizophrenia risk variants. Nature Genetics. 2019; 51:1475-1485.

Shang, N; Liu, C; Rasmussen, LV; Ta, CN; Caroll, RJ; Benoit, B; Lingren, T; Dikilitas, O; Mentch, FD; Carrell, DS; et al. Making work visible for electronic phenotype implementation: Lessons learned from the eMERGE network. Journal of Biomedical Informatics. 2019; 99:103293-103293.

Shaw, KA; Cutler, DJ; Okou, D; Dodd, A; Aronow, BJ; Haberman, Y; Stevens, C; Walters, TD; Griffiths, A; Baldassano, RN; et al. Genetic variants and pathways implicated in a pediatric inflammatory bowel disease cohort. Genes and Immunity. 2019; 20:131-142.

Smith, MA; Choudhary, GS; Pellagatti, A; Choi, K; Bolanos, LC; Bhagat, TD; Gordon-Mitchell, S; Von Ahrens, D; Pradhan, K; Steeples, V; et al. U2AF1 mutations induce oncogenic IRAK4 isoforms and activate innate immune pathways in myeloid malignancies. Nature Cell Biology. 2019; 21:640-650.

Stemmer, A; Galili, T; Kozlovski, T; Zeevi, Y; Marcus-Kalish, M; Benjamini, Y; Mitelpunkt, A. Current and Potential Approaches for Defining Disease Signatures: a Systematic Review. Journal of Molecular Neuroscience. 2019; 67:550-558.

Stine, RR; Sakers, AP; TeSlaa, T; Kissig, M; Stine, ZE; Kwon, CW; Cheng, L; Lim, HW; Kaestner, KH; Rabinowitz, JD; et al. PRDM16 Maintains Homeostasis of the Intestinal Epithelium by Controlling Region-Specific Metabolism. Cell Stem Cell. 2019; 25:830-845.e8.

Szczesniak, RD; Brokamp, C; Su, W; Mcphail, GL; Pestian, J; Clancy, JP. Improving Detection of Rapid Cystic Fibrosis Disease Progression-Early Translation of a Predictive Algorithm Into a Point-of-Care Tool. IEEE Journal of Translational Engineering in Health and Medicine-JTEHM. 2019; 7:2800108-8.

Taylor, DM; Aronow, BJ; Tan, K; Bernt, K; Salomonis, N; Greene, CS; Frolova, A; Henrickson, SE; Wells, A; Pei, L; et al. The Pediatric Cell Atlas: Defining the Growth Phase of Human Development at Single-Cell Resolution. Developmental Cell. 2019; 49:10-29.

Turnier, JL; Brunner, HI; Bennett, M; Aleed, A; Gulati, G; Haffey, WD; Thornton, S; Wagner, M; Devarajan, P; Witte, D; et al. Discovery of SERPINA3 as a candidate urinary biomarker of lupus nephritis activity. Rheumatology. 2019; 58:321-330.

Van Camp, PJ; Monifa Mahdi, C; Liu, L; Ni, Y; Andrew Spooner, S; Wu, DT Y. Development and preliminary evaluation of a visual annotation tool to rapidly collect expert-annotated weight errors in pediatric growth charts. Editor, Ohno-Machado L; Séroussi B. Studies in Health Technology and Informatics. 2019; 264:853-857.

Venkatasubramanian, M; Chetal, K; Atluri, G; Salomonis, N. Resolving single-cell heterogeneity from hundreds of thousands of cells through sequential hybrid clustering and NMF. 2019.

Walsh, KB; Zhang, X; Zhu, X; Wohleb, E; Woo, D; Lu, L; Adeoye, O. Intracerebral hemorrhage induces monocyte-related gene expression within six hours: Global transcriptional profiling in swine ICH. Metabolic Brain Disease. 2019; 34:763-774.

Walsh, KB; Zhang, X; Zhu, X; Wohleb, E; Woo, D; Lu, L; Adeoye, O. Intracerebral Hemorrhage Induces Inflammatory Gene Expression in Peripheral Blood: Global Transcriptional Profiling in Intracerebral Hemorrhage Patients. DNA and Cell Biology. 2019; 38:660-669.

Wang, W; Ishibashi, J; Trefely, S; Shao, M; Cowan, AJ; Sakers, A; Lim, HW; O'Connor, S; Doan, MT; Cohen, P; et al. A PRDM16-Driven Metabolic Signal from Adipocytes Regulates Precursor Cell Fate. Cell Metabolism. 2019; 30:174-189.e5.

Wang, Y; Yella, J; Ghandikota, S; Cherukuri, T; Madala, S; Jegga, A. Pan-transcriptome-based Candidate Therapeutic Discovery for Idiopathic Pulmonary Fibrosis. 2019.

Wang, Y; Yella, J; Jegga, AG. Transcriptomic Data Mining and Repurposing for Computational Drug Discovery. Methods in molecular biology (Clifton, N.J.). 2019; 1903:73-95.

Wen, T; Aronow, BJ; Rochman, Y; Rochman, M; Kiran, KC; Dexheimer, PJ; Putnam, P; Mukkada, V; Foote, H; Rehn, K; et al. Single-cell RNA sequencing identifies inflammatory tissue T cells in eosinophilic esophagitis. Journal of Clinical Investigation. 2019; 129:2014-2028.

Weng, Q; Wang, J; Wang, J; He, D; Cheng, Z; Zhang, F; Verma, R; Xu, L; Dong, X; Liao, Y; et al. Single-Cell Transcriptomics Uncovers Glial Progenitor Diversity and Cell Fate Determinants during Development and Gliomagenesis. Cell Stem Cell. 2019; 24:707-723.e8.

Williams, MS; Taylor, CO; Walton, NA; Goehringer, SR; Aronson, S; Freimuth, RR; Rasmussen, LV; Hall, ES; Prows, CA; Chung, WK; et al. Genomic information for clinicians in the electronic health record: Lessons learned from the clinical genome resource project and the electronic medical records and genomics network. Frontiers in Genetics. 2019; 10.

Wissel, BD; Greiner, HM; Glauser, TA; Mangano, FT; Santel, D; Pestian, JP; Szczesniak, RD; Dexheimer, JW. Investigation of bias in an epilepsy machine learning algorithm trained on physician notes. Epilepsia. 2019; 60:e93-e98.

Yang, J; Kalim, KW; Li, Y; Duan, X; Nguyen, P; Hershey, GK K; Kroner, J; Ruff, B; Zhang, L; Salomonis, N; et al. Rational targeting Cdc42 restrains Th2 cell differentiation and prevents allergic airway inflammation. Clinical and Experimental Allergy. 2019; 49:92-107.

Yonekura, A; Kawanaka, H; Prasath, VB S; Aronow, BJ; Tsuruoka, S; IEEE, . (2019) Glioma Subtypes Clustering Method using Histopathological Image Analysis. IEEE. 442-446.

Zouk, H; Venner, E; Muzny, DM; Lennon, NJ; Rehm, HL; Gibbs, RA; Walker, K; Gordon, AS; Bowser, M; Harden, MV; et al. Harmonizing Clinical Sequencing and Interpretation for the eMERGE III Network. The American Journal of Human Genetics. 2019; 105:588-605.

Zusman, E; Sidorov, M; Ayala, A; Chang, J; Singer, E; Chen, M; Desprez, PY; McAllister, S; Salomonis, N; Chetal, K; et al. Tissues harvested using an automated surgical approach confirm molecular heterogeneity of glioblastoma and enhance specimen’s translational research value. Frontiers in Oncology. 2019; 9.