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Talus Bioscience - Multiplexed Assays for the Rational Modulation of Transcription Factors (MARMOT) Platform
Drugging Transcriptional Networks. Our focus is bringing together cutting-edge technologies to unlock transcription factors for rational drug development. Network Mapping - The first step is to understand the high-level map of a genetic network that exists in any given human cell. Unlike DNA, which is identical in nearly all cells, these network maps are unique to different cell types, cell states, and can even change depending on the external cellular environment. At Talus Bio, we use Digital Genomic Footprinting (DGF) to identify all the possible network connections occurring in the nucleus of a human cell.
Our initial focus is on patients with high clinical need, where transcription factors are bona fide drivers of the tumor.
Childhood Sarcomas
Transcription-factor driven sarcomas with no available targeted therapies.
Adult Solid Tumors
We are in the discovery phase for several other genetically defined, transcription factor driven solid tumors.
Network Activity - Transcriptional networks are static pictures of the connectivity inside the nucleus. We use functional proteomics to monitor the activity of all transcription factors in live human cells and tissues. Like “KinomeScan” for the Regulome.
Network Interfaces - For critical edges in the transcriptional network, we use high resolution proteomics to identify and probe critical, druggable network connections in high resolution.
Drugs target proteins. At Talus Bio, we use proteomics—a method to measure proteins in high-throughput—as the engine to enable our platform technologies.
We are pioneering a new type of mass spectrometry proteomics called Data Independent Acquisition (DIA). DIA proteomics is especially well-suited to drug discovery due to its scalability, quantitative accuracy, and reproducibility.
To hear more about scalable functional proteomics, listen to Talus Bio’s Co-Founder, Dr. Lindsay Pino, Ph.D. describe the technology on the Bioinformatics Chat Podcast.