Summary/Abstract
A cell's history determines its fate and physiology, but it has been technically challenging to follow
cellular history at a large scale and over extended periods. It has therefore been difficult to answer
many important questions in biology and medicine: how are the cells in an organism related through
their lineage? When was a cell exposed to a signal? Which neurons were active during a particular
behavioral state? Answering these questions is fundamental for understanding the dynamics of
multicellular systems.
The premise of this proposal is that just as evolutionary history is recorded in genome sequence
changes, a cell's history can be recorded by the introduction of changes in the genome. Recent
genome editing studies have resulted in the development of a technology called GESTALT that
uses the combinatorial and cumulative editing of a genomic barcode to permanently mark cells and
through sequencing uncovers their lineage relationships. This and complementary studies have
demonstrated the remarkable potential for DNA-mediated recording.
The proposed project aims to optimize DNA-mediated recording and combine it with other nascent
technologies to (1) record the lineage trees that generate the juvenile brain; (2) record the cellular
history of Notch and TGFß signaling pathway activation; and (3) record the history of neuronal
activity during day/wake and night/sleep. Zebrafish will be used as a model system because of the
powerful application of genomic, genetic and imaging approaches and its relevance to other
vertebrates, including humans.
Public Health Relevance Statement
Narrative
The fate and physiology of a cell is a result of its history, but it has been technically challenging to
follow cellular history at a large scale and over extended periods. This project aims to use DNA
editing to record cellular history during development and behavior.
NIH Spending Category
Neurosciences
Project Terms
AdolescentBehaviorBehavioralBiological ModelsBiologyBrainCellsDNADevelopmentExposure toGenomeGenomic approachGenomicsHumanMediatingMedicineNeuronsOrganismPhysiologyRecording of previous eventsSignal PathwaySignal TransductionSleepSystemTechnologyTransforming Growth Factor betaTreesVertebratesZebrafishcombinatorialgenetic approachgenome editingimaging approachnotch protein
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