Cardiovascular Research Center, Massachusetts General Hospital, Boston, United States; Harvard Medical School, Boston, United States; Department of Biomedical Engineering, Tufts University, Medford, United States
Dongjian Hu
Cardiovascular Research Center, Massachusetts General Hospital, Boston, United States; Harvard Medical School, Boston, United States; Department of Biomedical Engineering, Boston University, Boston, United States
Frederik Ernst Deiman
Cardiovascular Research Center, Massachusetts General Hospital, Boston, United States; Harvard Medical School, Boston, United States
Annebel Marjolein van de Vrugt
Cardiovascular Research Center, Massachusetts General Hospital, Boston, United States; Harvard Medical School, Boston, United States
François Cherbonneau
Cardiovascular Research Center, Massachusetts General Hospital, Boston, United States
Lauren Deems Black III
Department of Biomedical Engineering, Tufts University, Medford, United States; Sackler School of Graduate Biomedical Sciences, Tufts University School of Medicine, Boston, United States
Ibrahim John Domian
Cardiovascular Research Center, Massachusetts General Hospital, Boston, United States; Harvard Medical School, Boston, United States; Harvard Stem Cell Institute, Cambridge, United States
A fundamental goal in the biological sciences is to determine how individual cells with varied gene expression profiles and diverse functional characteristics contribute to development, physiology, and disease. Here, we report a novel strategy to assess gene expression and cell physiology in single living cells. Our approach utilizes fluorescently labeled mRNA-specific anti-sense RNA probes and dsRNA-binding protein to identify the expression of specific genes in real-time at single-cell resolution via FRET. We use this technology to identify distinct myocardial subpopulations expressing the structural proteins myosin heavy chain α and myosin light chain 2a in real-time during early differentiation of human pluripotent stem cells. We combine this live-cell gene expression analysis with detailed physiologic phenotyping to capture the functional evolution of these early myocardial subpopulations during lineage specification and diversification. This live-cell mRNA imaging approach will have wide ranging application wherever heterogeneity plays an important biological role.