Alzheimer's Disease and other related tauopathies are characterized by the accumulation of the microtubule‐associated protein Tau into fibrillary deposits. Interestingly, there is evidence supporting amyloid structures, or strains, formed as a consequence of Tau aggregation are unique to each pathology, suggesting different conformations play an important role in the development of specific tauopathies. The potential critical role of Tau in disease progression, together with the isolation of 19 different Tau strains, led us to work in developing a panel of cell‐based fluorescence resonance energy transfer (FRET) biosensors. Each biosensor carried a different mutation on Tau's aggregation‐prone repeat domain, based on the hypothesis that each mutant would have unique interactions with Tau strains and, thus, alter Tau aggregation kinetics within the cell. We hoped that by studying these differences in FRET signal we would be able to discriminate between distinct amyloid conformations. In order to do this, we first created the biosensors by transducing HEK 293 cells with lentivirus coding Tau's repeat domain with specific mutations, fused to both, cyan florescent protein (CFP) or yellow florescent protein (YFP). These biosensors were later treated with different sources of Tau seeds and FRET flow cytometry was used to describe their seeding activity. Experiments with the 19 strains in our Tau library and the engineered biosensors revealed noticeable differences in percent FRET positivity, such that discrimination was achieved for most of the strains. Interestingly, the highest seeding activity among all the biosensors was obtained from strain 15 (DS15), even at low total protein concentrations. Additionally, biosensors expressing the wild‐type four‐repeat domain of Tau had higher percent FRET positivity only when seeded with strains derived from Corticobasal Degeneration (CBD) patients. Furthermore, treatment of our panel of biosensors with brain homogenates of multiple tauopathy patients correlated with our previous results and revealed more distinct patterns of FRET behavior. Together, these results suggest that measuring proteopathic seeding activity while using our panel of biosensors is a sensitive and reliable tool to discriminate between different amyloid conformations, which could potentially lead the development of improved diagnostic methods for neurodegenerative disorders.Support or Funding InformationThis research project was supported by the NIH‐Maximizing Access to Research Careers (Grant # 5T34GM0072821‐38), the Summer Undergraduate Research Fellowship at UT Southwestern Medical Center and the Center for Alzheimer's and Neurodegenerative Diseases at UT Southwestern Medical Center.This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal.