Stanford researchers describe how their integration of CyTOF® mass cytometry analysis with other omic approaches revealed the existence of an immune clock during human pregnancy.
In this recorded webinar, Dr. Brice Gaudilliere, MD, PhD, and Nima Aghaeepour, PhD, both of Stanford University School of Medicine, describe how they characterized the molecular pacemakers of pregnancy by integrating CyTOF® mass cytometry analysis and other omic approaches on blood samples collected throughout pregnancy.
The maintenance of pregnancy relies on a finely tuned immune balance between tolerance to the fetal allograft and protective mechanisms against invading pathogens. Demonstrating the chronology of immune adaptations to a term pregnancy provides the framework for future studies examining deviations implicated in pregnancy-related pathologies including preterm birth and preeclampsia.
Gaudilliere presents data demonstrating that these adaptations are precisely timed, reflecting an immune clock of pregnancy in women delivering at term. An elastic net model with prior Bayesian distributions extracted from literature-based knowledge of the immune was used to develop a predictive model of interrelated immune events that accurately captured the chronology of pregnancy.
Aghaeepour describes how the immunological dataset derived from the mass cytometry analysis was integrated with other omic datasets collected simultaneously at each time point, including data from the transcriptome, microbiome, proteome and metabolome. He also presents a novel computational approach combining all available omic datasets into a predictive model that reveals unique interactions between the different pacemakers of pregnancy.
Dr. Brice Gaudilliere, MD, PhD
Nima Aghaeepour, PhD
For Research Use Only. Not for use in diagnostic procedures.