Gary Siuzdak, PhD

Sr. Director, Scripps Center for Metabolomics

The Center for Metabolomics

Professor of Chemistry, Molecular and Computational Biology

Research Focus

The Center for Metabolomics is developing mass spectrometry-based technologies to create a better understanding of metabolism. These developments include nanostructure-based imaging, cloud-based informatics, as well as a unique database to facilitate metabolite identification. Our XCMS-METLIN platform has thousands of users in over 100 different countries, and our imaging approach is a novel matrix-free technology. Overall, the primary motivation from the outset of our 30+ years at Scripps, is in identifying endogenous metabolites that modulate phenotype. These studies have made me acutely aware of the power of metabolites to understand and control disease pathogenesis.

Education

Awards & Professional Activities

News

Scripps Research scientists awarded nearly $5 million by NIH to investigate cancer growth

Researchers will investigate how a common dietary nutrient may control a hidden layer of gene regulation in cancer cells.

Select Publications

Giera, Martin; Yanes, Oscar; Siuzdak, Gary Metabolite discovery: Biochemistry's scientific driver. Cell Metabolism 2022, 34, 21-34.
View
Xue, Jingchuan; Guijas, Carlos; Benton, H. Paul; Warth, Benedikt; Siuzdak, Gary METLIN MS2 molecular standards database: a broad chemical and biological resource. Nature Methods 2020, 17, 953-954.
View
Rinschen, Markus M M.; Ivanisevic, Julijana; Giera, Martin; Siuzdak, Gary Identification of bioactive metabolites using activity metabolomics. Nature Reviews. Molecular Cell Biology 2019, 20, 353-367.
View
Wikoff, William R.; Anfora, Andrew T.; Liu, Jun; Siuzdak, Gary Metabolomics analysis reveals large effects of gut microflora on mammalian blood metabolites. Proceedings of the National Academy of Sciences 2009, 106, 3698-3703.
View
Smith, C. A.; Want, E. J.; O'Maille, G.; Abagyan, R.; Siuzdak, Gary XCMS: Processing Mass Spectrometry Data for Metabolite Profiling Using Nonlinear Peak Alignment, Matching, and Identification. Analytical Chemistry 2006, 78, 779-787.
View
Wei, J.; Buriak, J. M.; Siuzdak, Gary Desorption-ionization mass spectrometry on porous silicon. Nature 1999, 399, 243-246.
View

News

Newly identified molecule strengthens the eye’s response to damage in retinal disease

Scripps Research discovery finds that restoring the naturally occurring compound erucamide in the eye stabilized tissue in preclinical models of retinal degeneration.

Neuroscience

News

Scripps Research scientists awarded nearly $5 million by NIH to investigate cancer growth

Researchers will investigate how a common dietary nutrient may control a hidden layer of gene regulation in cancer cells.

Integrative Structural & Computational Biology

News

Drug discovery method identifies naturally occurring metabolite that converts ‘bad’ fat to ‘good’ fat

Scripps Research and Calibr scientists collaborate to uncover potential therapeutic avenues for metabolic diseases.

Calibr-Skaggs

News

Linking calorie restriction, body temperature and healthspan

In a new study, Scripps Research scientists pave the way toward creating a medicinal compound that imitates the valuable effects of reduced body temperature.

Neuroscience

News

Brain receptor that regulates body heat may also help accelerate weight loss

A discovery from Scripps Research shows that blocking the kappa opioid receptor while on a restricted-calorie diet could help shed pounds faster.

Neuroscience

News

Little-known protein appears to play important role in obesity and metabolic disease

The recently discovered protein is normally abundant in fat. Without it, the body struggles to manage glucose and insulin, the scientists found.

Molecular & Cellular Biology

News

Scientists design new metabolic technology to open scientific data for everyone

"In an age where scientific results are being constantly questioned, open data has become an essential part the discovery process."

News

Estrogen-mimicking compounds in foods may reduce effectiveness of breast cancer treatment