Yatiri Bio
Biotechnology, 6335 Nancy RDG Dr, San Diego, California, 92121, United States, 1-10 Employees
Phone Number: 83********
Who is YATIRI BIO
Proteomics is the large-scale study of the proteome, which consists of all the proteins produced in an organism, cell, or biological system. Using high-resolution mass spectrometry, data ...
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Headquarters: 6335 Nancy RDG Dr, San Diego, California, 92121, United States
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Date Founded: 2020
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Employees: 1-10
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Revenue: $1 Million to $5 Million
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Active Tech Stack: See technologies
Industry: Biotechnology
SIC Code: 6512
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Frequently Asked Questions Regarding Yatiri Bio
Answer: Yatiri Bio's headquarters are located at 6335 Nancy RDG Dr, San Diego, California, 92121, United States
Answer: Yatiri Bio's phone number is 83********
Answer: Yatiri Bio's official website is https://yatiribio.com
Answer: Yatiri Bio's revenue is $1 Million to $5 Million
Answer: Yatiri Bio's SIC: 6512
Answer: Yatiri Bio has 1-10 employees
Answer: Yatiri Bio is in Biotechnology
Answer: Yatiri Bio contact info: Phone number: 83******** Website: https://yatiribio.com
Answer: Proteomics is the large-scale study of the proteome, which consists of all the proteins produced in an organism, cell, or biological system. Using high-resolution mass spectrometry, data from the proteome can provide insight into proteins and their signaling pathways as the drivers of human physiology and disease. Yatiri Bio explicitly prioritizes this data as the key to understanding how and why particular drugs successfully eradicate disease. Recent advances in this technology allow for the identification and quantification of thousands (>8,000) of proteins per sample. In addition, the signaling pathways can be accurately monitored via analysis of post-translational modifications (PTM) that steer biochemical responses. Consequently, these analyses address the relevant disease on a cellular level including direct observation of the effects of drug perturbation. The advantage of studying the proteome (versus the current standard of identifying only a selective few biomarkers) is that we are able to identify more robust biomarker signatures, improve patient selection, and drive pathway-based therapies for personalized medicine.
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