Trina M. Norden-Krichmar

Picture of Trina M. Norden-Krichmar
Associate Professor, Epidemiology and Biostatistics
Public Health
Joint Appointment, Department of Pharmaceutical Sciences
School of Pharmacy & Pharmaceutical Sciences
Joint Appointment, Computer Science
Donald Bren School of Information and Computer Sciences
Joint Appointment, Biological Chemistry
School of Medicine
Ph.D., University of California, San Diego, Scripps Institution of Oceanography, Marine Biology
M.S., George Washington University, Washington, DC, Computer Science
B.S., University of Maryland, College Park, Maryland, Biochemistry
Phone: (949) 824-8802
Email: tnordenk@uci.edu
University of California, Irvine
856 Medical Sciences Quad, Room 3240
Mail Code: 3957
Irvine, CA 92697
Research Interests
Bioinformatics; genetic factors in human diseases; gene expression analysis; methylation; non-coding RNA; metagenomics; medical, environmental and marine genomics; pharmacogenomics and computational drug discovery; machine learning and deep learning
Research Abstract
My research involves computational methods to analyze, integrate, and interpret the various sources of biological data for the study of medical, marine, and environmental applications of genomics. I have been involved in a wide range of projects using next generation sequencing, de novo assembly, read mapping, functional annotation, common/rare variants, differential gene expression, and methylation. These bioinformatics analyses have been applied to many human diseases, including addiction, alcohol-induced liver diseases, obesity, longevity, and cancer.
Short Biography
Trina Norden-Krichmar is an Associate Professor in the Department of Epidemiology at the University of California, Irvine. The goal of her research is to investigate the genomic factors influencing human health and disease. She has a B.S. in Biochemistry from University of Maryland, M.S. in Computer Science from George Washington University, and a Ph.D. in Marine Biology from the Scripps Institution of Oceanography at the University of California, San Diego. In addition to the laboratory skills acquired by her biological research, she also has over 15 years of experience working as a computer programmer at IBM, the National Institutes of Health, and the Salk Institute. She has experience performing bioinformatics analyses applied to projects involving RNA sequencing and gene expression microarrays, DNA sequencing and genotyping arrays, microRNAs, methylomics, proteomics, metagenomics, and metatranscriptomics. She teaches a Bioinformatics course at UC Irvine at both the graduate (EPIDEM 275) and undergraduate (PUBHLTH 119) levels.
Publications
Listopad, S., Magnan, C., Day, L.Z., Asghar, A., Stolz, A., Tayek, J.A., Liu, Z.X., Jacobs, J.M., Morgan, T.R., Norden-Krichmar, T.M. (2024) “Identification of integrated proteomics and transcriptomics signature of alcohol-associated liver disease using machine learning”, PLOS Digital Health, 3(2), doi.org/10.1371/journal.pdig.0000447.
Liu, X., Liu, Z.X., Morgan, T.R., and Norden-Krichmar, T.M. (2023) Single-cell transcriptomics of peripheral blood mononuclear cells indicates impaired immune and inflammatory responses in alcohol-associated hepatitis. Human Immunology, doi.org/10.1016/j.humimm.2023.110735
Thangavelu, C.S. and Norden-Krichmar, T.M. (2023) Integrative Meta-Analysis during Induced Pluripotent Stem Cell Reprogramming Reveals Conserved Networks and Chromatin Accessibility Signatures in Human and Mouse. BioMedInformatics, 3, 1015-1039, doi.org/10.3390/biomedinformatics3040061
Norden-Krichmar, T. M., Rotroff, D., Schwantes-An, T. H., Bataller, R., Goldman, D., Nagy, L. E., and Liangpunsakul, S. (2023) Genomic approaches to explore susceptibility and pathogenesis of alcohol use disorder and alcohol-associated liver disease. Hepatology, 10-1097, doi.org/10.1097/HEP.0000000000000617
Wan, J.Y., Goodman, D., Makhnoon, S., Norden-Krichmar, T.M., Wu, B., and Edwards, K.L. (2023) Heterogeneity in familial clustering of metabolic syndrome components in the multiethnic GENNID study. Obesity (Silver Spring), 1-11, doi:10.1002/oby.23914
Leaks, K., Norden-Krichmar, T. and Brody, J.P. (2023) Predicting moderate drinking behaviors in National Health and Nutrition Examination Survey participants using biochemical and demographical factors with machine learning. Alcohol, 113, pp.1-10, doi.org/10.1016/j.alcohol.2023.07.005
Lucia, R.M., Liao, X., Huang, W.L., Forman, D., Kim, A., Ziogas, A., Norden-Krichmar, T.M., Goodman, D., Alvarez, A., Masunaka, I., Pathak, K.V., McGilvrey, M., Hegde, A.M., Pirrotte, P., and Park, H.L. (2023). Urinary glyphosate and AMPA levels in a cross-sectional study of postmenopausal women: Associations with organic eating behavior and dietary intake. International journal of hygiene and environmental health, 252, 114211, doi.org/10.1016/j.ijheh.2023.114211
Argemi, J., Kedia, K., Gritsenko, M.A., Clemente-Sanchez, A., Asghar, A., Herranz, J.M., Liu, Z.X., Atkinson, S.R., Smith, R.D., Norden-Krichmar, T.M., Day, L.Z., Stolz, A., Tayek, J.A., Bataller, R., Morgan, T.R., Jacobs, J.M., the Southern California Alcoholic Hepatitis Consortium and the InTeam Consortium. (2022) “Integrated Transcriptomic and Proteomic Analysis Identifies Plasma Biomarkers of Hepatocellular Failure in Alcohol-Associated Hepatitis”, The American Journal of Pathology, doi.org/10.1016/j.ajpath.2022.08.009.
Listopad, S., Magnan, C., Asghar, A., Stolz, A., Tayek, J.A., Liu, Z.X., Morgan, T.R., Norden-Krichmar, T.M. (2022) “Differentiating between liver diseases by applying multiclass machine learning approaches to transcriptomics of liver tissue or blood-based samples”, JHEP Reports, doi:10.1016/j.jhepr.2022.100560.
Lucia, R.M., Huang, W., Pathak, K.V., McGilvrey, M., David-Dirgo, V., Alvarez, A., Goodman, D., Masunaka, I., Odegaard, A. O., Ziogas, A., Pirrotte, P., Norden-Krichmar, T.M., and Park, H.L. (2022) “Association of glyphosate exposure with blood DNA methylation”, Environmental Health Perspectives, doi.org/10.1289/EHP10174.
Kakati, T., Bhattacharyya, D.K., Kalita, J.K., and Norden-Krichmar, T.M. (2022) “DEGNext: Classification of Differentially Expressed Genes from RNA-seq data using a Convolutional Neural Network with Transfer Learning”, BMC Bioinformatics, 23:17, doi:10.1186/s12859-021-04527-4.
Lucia, R.M., Huang, W., Alvarez, A., Masunaka, I., Ziogas, A., Goodman, D., Odegaard, A. O., Norden-Krichmar, T.M., and Park, H.L. (2021) “Association of mammographic density with blood DNA methylation”, Epigenetics, doi: 10.1080/15592294.2021.1928994.
Wan, J.Y., Goodman, D.L., Willems, E.L., Freedland, A.R., Norden-Krichmar, T.M. Santorico, S.A., and Edwards, K.L. (2021) “Genome-wide association analysis of metabolic syndrome quantitative traits in the GENNID multiethnic family study”, Diabetology & Metabolic Syndrome, https://doi.org/10.1186/s13098-021-00670-3.
Ryu, S., Han, J., Norden-Krichmar, T., Zhang, Q., Lee, S., Zhang, Z., Atzmon, G., Niedernhofer, L.J., Robbins, P.D., Barzilai, N., Schork, N.J., and Suh, Y. (2021) “Genetic signature of human longevity in PKC and NF-kappa B signaling”, Aging Cell, doi: 10.1111/acel.13362.
Widyastuti, H.P., Norden-Krichmar, T.M., Grosberg, A., and Zaragoza, M.V. (2020) “Gene expression profiling of fibroblasts in a family with LMNA-related cardiomyopathy reveals molecular pathways implicated in disease pathogenesis”, BMC Medical Genetics, 21, 152, doi.org/10.1186/s12881-020-01088-w.
Lucia, R.M., Huang, W., Alvarez, A., Thampy, D. , Elyasian, M., Hidajat, A., Yang, K., Forman, D., Pebdani, A., Masunaka, I., Brain, S., Heditsian, D., Lee, V., Goodman, D., Norden-Krichmar, T.M., Odegaard, A., Ziogas, A., and Park, H.L (2020) “Rationale, Study Design, and Cohort Characteristics for the Markers for Environmental Exposures (MEE) Study”, International Journal of Environmental Research and Public Health, 17, 1174, doi:10.3390/ijerph17051774.
Wan, J.Y., Catabay, C., Liem, A., Jeffrey, E., Norden-Krichmar, T.M., Goodman, D., Santorico, S.A., Edwards, K.L., and American Diabetes Association GENNID Study Group (2019) “Evidence for gene-smoking interactions for hearing loss and deafness in Japanese American families”, Hearing Research, 387, doi:10.1016/j.heares.2019.107875.
Listopad, S.A. and Norden-Krichmar, T.M. (2019) “A-Lister: A tool for analysis of differentially expressed -omics entities across multiple pairwise comparisons”, BMC Bioinformatics, 20, 595, doi:10.1186/s12859-019-3121-x.
Willems, E.L., Wan, J.Y., Norden-Krichmar, T.M., Edwards, K.L., and Santorico, S.A. (2019) “Trans-ethnic meta-analysis of metabolic syndrome in a multi-ethnic study” ”, Genetic Epidemiology, doi:10.1002/gepi.22267.
Ryu, S., Han, J., Norden-Krichmar, T.M., Schork, N.J., and Suh, Y. (2018) “Effective discovery of rare variants by pooled target capture sequencing: A comparative analysis with individually indexed target capture sequencing”, Mutation Research Fundamental and Molecular Mechanisms of Mutagenesis, 809:24-31, doi:10.1016/j.mrfmmm.2018.03.007.
Schomberg, J., Ziogas, A., Anton-Culver, H., and Norden-Krichmar, T. (2018) “Identification of a gene expression signature predicting survival in oral cavity squamous cell carcinoma using Monte Carlo cross validation”, Oral Oncology, 78:72-79, doi:10.1016/j.oraloncology.2018.01.012.
Norden-Krichmar, T.M., Gizer, I.R., Wilhelmsen, K.C., Schork, N.J., and Ehlers, C.L. (2015) “Variants near CCK receptors are associated with electrophysiological responses to pre-pulse startle stimuli in a Mexican American cohort”, Twin Research and Human Genetics, doi:10.1017/thg.2015.77.
Ishii, S., Suzuki, S., Tenney, A., Norden-Krichmar, T.M., Nealson, K.H., and Bretschger, O. (2015) “Microbial metabolic networks in complex electrogenic biofilm recovered from a stimulus-induced metatranscriptomics approach”, Scientific Reports, 5:14840, doi: 10.1038/srep14840.
Norden-Krichmar, T.M., Gizer, I.R., Wilhelmsen, K.C., Schork, N.J., and Ehlers, C.L. (2014) “Protective variant associated with alcohol dependence in a Mexican American cohort”, BMC Medical Genetics, 15:136, doi:10.1186/s12881-014-0136-z.

Norden-Krichmar, T.M., Gizer, I.R., Libiger, O., Wilhelmsen, K.C., Ehlers, C.L., and Schork, N.J. (2014) “Correlation analysis of genetic admixture and social identification with body mass index in a Native American community”, American Journal of Human Biology, doi:10.1002/ajhb.22521.

Ishii, S., Suzuki, S., Norden-Krichmar, T.M., Phan, T., Wanger, G., Nealson, K.H., Sekiguchi, Y., Gorby, Y.A., and Bretschger, O. (2013) “Microbial population and functional dynamics associated with surface potential and carbon metabolism”, International Society of Microbial Ecology (ISME) Journal, doi:10.1038/ismej.2013.217.

Ishii, S., Suzuki, S., Norden-Krichmar, T.M., Wu, A., Yamanaka, Y., Nealson, K.H., and Bretschger, O. (2013) “Identifying the microbial communities and operational conditions for optimized wastewater treatment in microbial fuel cells”, Water Research Journal, 47:7120-7130, doi:10.1016/j.watres.2013.07.048.

Ishii, S., Suzuki, S., Norden-Krichmar, T.M., Tenney, A., Chain P.S.G., Scholz, M., Nealson, K.H., and Bretschger, O. (2013) “A novel metatranscriptomic approach to identify gene expression dynamics during extracellular electron transfer”, Nature Communications 4:1601, doi:10.1038/ncomms2615.

Shrestha, R.P., Tesson, B., Norden-Krichmar, T.M., Federowicz, S., Hildebrand, M. and Allen, A.E. (2012) ”Whole transcriptome analysis of the silicon response of the diatom Thalassiosira pseudonana” BMC Genomics, 13:499, doi:10.1186/1471-2164-13-499.

Bertrand, E.M., Allen, A.E., Dupont, C.L., Norden-Krichmar, T.M., Bai, J., Valas, R.E. and Saito, M.A. (2012) "Influence of cobalamin scarcity on diatom molecular physiology and identification of a cobalamin acquisition protein" PNAS, doi:10.1073/pnas.1201731109.

Ishii, S., Suzuki, S., Norden-Krichmar, T.M., Nealson, K.H., Sekiguchi, Y., Gorby, Y.A., Bretschger, O. (2012) “Functionally stable and phylogenetically diverse microbial enrichments from microbial fuel cells during wastewater treatment” PLoS ONE 7(2): e30495, doi:10.1371/journal.pone.0030495.

Norden-Krichmar, T.M., Allen, A.E., Gaasterland, T., and Hildebrand, M. (2011) “Characterization of the small RNA transcriptome of the diatom, Thalassiosira pseudonana” PLoS ONE 6(8): e22870, doi:10.1371/journal.pone.0022870.

Norden-Krichmar, T.M., Holtz, J., Pasquinelli, A.E., and Gaasterland, T. (2007) “Computational prediction and experimental validation of Ciona intestinalis microRNA genes” BMC Genomics, 8: 445.
Last updated
02/10/2024