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Transcriptomic analysis of neural circuits activated during encoding of long-term memory

Stanford Neurosciences Institute, Boxuan Zhao

Our ability to remember makes us human, and is essential for acquiring new skills and integrating previous experiences into future decision-making. While it is known that long-term memory (LTM) formation requires new gene expression, we lack a detailed and comprehensive understanding of which genes must be expressed to encode memories, and how these genes change over time during the consolidation of memories. The goal of my proposal is to reach a comprehensive molecular and mechanistic understanding of LTM.

Here I propose to use fear conditioning in mice to uncover the molecular pathways underlying LTM formation; and at the same time, produce transformative technologies (“FLARE-omics”) to overcome the long labeling window limitation of current tools by selectively labeling functional circuits with high temporal resolution. Through the profiling of the dynamics of RNA and their modifications within active neurons during fear memory formation, we will identify differences in post-transcriptional regulation and gene expression dynamics over time, potentially revealing key factors in memory-encoding mechanisms and/or interesting targets for the manipulation of LTM for therapeutic benefit.

My proposed study will provide a comprehensive molecular characterization of the RNA content of neurons activated specifically by fear conditioning, including RNA methylation patterns, and thereby gain unprecedented insight into basic mechanisms underlying LTM encoding. My proposed study also has broad significance beyond memory study: We will develop and make widely available a family of new molecular technologies to neuroscientists in the community. These new tools will facilitate the characterization of transcriptomes of specific subsets of neurons activated during any behavior or cognitive process of interest with unprecedented speed and accuracy, and provide a means to interrogate the mechanisms by which these circuits encode function.

Participants

Lead Researcher(s): 

Sponsors

Alice Ting (Genetics & Biology) and Liqun Luo (Biology)

Funding Type: 
Postdoctoral Fellowship
Round: 
4
Award Year: 
2018