A photo of Laura Peterson.

Laura Peterson, MD


  • Assistant Professor, UC Department of Pediatrics

About

Publications

The balance between protective and pathogenic immune responses to pneumonia in the neonatal lung is enforced by gut microbiota. Stevens, J; Steinmeyer, S; Bonfield, M; Peterson, L; Wang, T; Gray, J; Lewkowich, I; Xu, Y; Du, Y; Guo, M; et al. Science Translational Medicine. 2022; 14.

Perinatal infection, inflammation, preterm birth, and brain injury: A review with proposals for future investigations. Reiss, JD; Peterson, LS; Nesamoney, SN; Chang, AL; Pasca, AM; Maric, I; Shaw, GM; Gaudilliere, B; Wong, RJ; Sylvester, KG; et al. Neurodegeneration : a journal for neurodegenerative disorders, neuroprotection, and neuroregeneration. 2022; 351.

A Peripheral Immune Signature of Labor Induction. Ando, K; Hédou, JJ; Feyaerts, D; Han, X; Ganio, EA; Tsai, ES; Peterson, LS; Verdonk, F; Tsai, AS; Maric, I; et al. Frontiers in Immunology. 2021; 12.

Single-Cell Analysis of the Neonatal Immune System Across the Gestational Age Continuum. Peterson, LS; Hedou, J; Ganio, EA; Stelzer, IA; Feyaerts, D; Harbert, E; Adusumelli, Y; Ando, K; Tsai, ES; Tsai, AS; et al. Frontiers in Immunology. 2021; 12.

Data-Driven Modeling of Pregnancy-Related Complications. Espinosa, C; Becker, M; Maric, I; Wong, RJ; Shaw, GM; Gaudilliere, B; Aghaeepour, N; Stevenson, DK; Prematurity Research Center at Stanford, . Trends in Molecular Medicine. 2021; 27:762-776.

Understanding how biologic and social determinants affect disparities in preterm birth and outcomes of preterm infants in the NICU. Stevenson, DK; Aghaeepour, N; Maric, I; Angst, MS; Darmstadt, GL; Druzin, ML; Gaudilliere, B; Ling, XB; Moufarrej, MN; Peterson, LS; et al. Seminars in Perinatology. 2021; 45.

Integrated trajectories of the maternal metabolome, proteome, and immunome predict labor onset. Stelzer, IA; Ghaemi, MS; Han, X; Ando, K; Hédou, JJ; Feyaerts, D; Peterson, LS; Rumer, KK; Tsai, ES; Ganio, EA; et al. Science Translational Medicine. 2021; 13.

Integrated plasma proteomic and single-cell immune signaling network signatures demarcate mild, moderate, and severe COVID-19. Feyaerts, D; Hedou, J; Gillard, J; Chen, H; Tsai, ES; Peterson, LS; Ando, K; Manohar, M; Do, E; Dhondalay, GK R; et al. 2021.

VoPo leverages cellular heterogeneity for predictive modeling of single-cell data. Stanley, N; Stelzer, IA; Tsai, AS; Fallahzadeh, R; Ganio, E; Becker, M; Phongpreecha, T; Nassar, H; Ghaemi, S; Maric, I; et al. Nature Communications. 2020; 11.

Integration of mechanistic immunological knowledge into a machine learning pipeline improves predictions. Culos, A; Tsai, AS; Stanley, N; Becker, M; Ghaemi, MS; McIlwain, DR; Fallahzadeh, R; Tanada, A; Nassar, H; Espinosa, C; et al. 2020; 2:619-628.