Abstract - Anne Andrews
The brain possesses the most complex chemistry encountered in living systems. While methods exist to measure neurotransmitter signaling in the extraneuronal space, spatial, temporal, and chemical resolution is limited. To investigate intra-neuronal signaling at the length and time scales pertinent to intrinsically encoded information, and ultimately to relate this information to complex behavior, chemically specific sensors are needed that approach the size of synapses (ca. 20 nm) having sub-second response times. The objective of this proposal is to employ recently developed, broadly applicable approaches to identify sensing elements that selectively recognize neurotransmitters. Neurotransmitter-functionalized self-assembled monolayer substrates, high-throughput microfluidics, and next-generation sequencing will be used to distinguish high-affinity molecular recognition elements screened from nucleic acid combinatorial libraries (aptamer selection). Our long-range goals are to develop the next generation of in vivo neurotransmitter sensors that will be ultra-small (nanoscale), fast (<1 s), and multiplexed for simultaneous neurotransmitter measurements. In the future, when linked to semiconductor nanowires, neurotransmitter-specific aptamers will be interrogated for their potential to act as brain biosensors. Near-term gains include creating a library of high-affinity neurotransmitter aptamers. Broader impact will be a greater understanding of the neurochemical basis of complex behavior, psychiatric and neurodegenerative disorders, and the treatment of these disorders.
AWARDS
Principal Investigator | Institution | Title | Abstract |
Andersen, Richard | California Institute of Technology | Engineering Artificial Sensation | View |
Andrews, Anne | University of California, Los Angeles | Nanoscale Neurotransmitter Sensors | View |
Bloodgood, Brenda | University of California San Diego | A novel toolkit for visualizing and manipulating activity-induced transcription in living brain. | View |
Chaumeil, Myriam | University of California, San Francisco | In vivo metabolic imaging of neuroinflammation using hyperpolarized 13C | View |
Cleary, Michael | University of California, Merced | Capturing physiological maps of neural gene expression | View |
Cohen, Bruce | University of California, Lawrence Berkeley National Laboratory | Nano-optogenetic control of neuronal firing with targeted nanocrystals | View |
Dai, Hongjie | Stanford University | Deep brain imaging of single neurons in the second near-infrared optical window | View |
Hall, Drew | University of California, San Diego | Magnetic Monitoring of Neural Activity using Magnetoresistive Nanosensors | View |
Krubitzer, Leah | University of California, Davis | An integrated system to monitor, image, and regulate neural activity | View |
Kubby, Joel | University of California, Santa Cruz | Three-Photon Microscopy with Adaptive Optics for Deep Tissue Brain Activity Imaging | View |
Melosh, Nicholas | Stanford University | Parallel Solid State Intracellular Patch-Clamping with Biomimetic Probes | View |
Park, B. Hyle | University of California, Riverside | Label-free 4D optical detection of neural activity | View |
Portera-Cailliau, Carlos | University of California, Los Angeles | High-speed interrogation of network activity with frequency domain multiplexing | View |
Shanechi, Maryam | University of Southern California | Control-Theoretic Neuroprosthetic Design Using Electrocorticography Signals | View |
Smith, Will | University of California, Santa Barbara | Whole brain imaging in a primative chordate | View |
Wood, Marcelo | University of California, Irvine | Epigenetic PET tracer for cross-species investigation of age-related memory dysfunction | View |