Nathan Basisty, Ph.D.

Investigator

Translational Geroproteomics Unit

NIA

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Room 5C218
251 Bayview Boulevard
Baltimore, MD 21224

206-214-8296

nathan.basisty@nih.gov

Research Topics

Dr. Nathan Basisty is head of the Translational Geroproteomics Unit (TGU), which studies the molecular underpinnings of aging at the proteomic and multi-omic levels to guide the development of clinically relevant biomarkers and therapeutic targets for the pathologies of aging. We leverage modern mass spectrometry based proteomic technologies and computational tools in preclinical aging models and human cohorts such as the Baltimore Longitudinal Study of Aging (BLSA) with the ultimate goals of discovering protein- and PTM-based biomarkers of aging, enabling the development of senotherapeutics, improving healthspan, and understanding mechanisms of aging at the cellular and molecular levels. The TGU focuses on three hallmarks of aging: cellular senescence, altered protein turnover, and accumulation of post-translational modifications.

Biography

Dr. Basisty received his Ph.D. in Pathology and B.S. in Biochemistry from the University of Washington, where he investigated the role of protein turnover in mammalian aging and longevity using novel combinations of metabolic labeling, LC-MS/MS, and software tools. In 2015, he joined The Buck Institute for Research on Aging, where he did his postdoctoral fellowship in the labs of Dr. Birgit Schilling and Dr. Judith Campisi. There he developed novel and specialized proteomic approaches to understand aging processes and age-related diseases, including the application of data-independent acquisition (DIA) or SWATH workflows to identify and quantify PTMs and secretomes. Dr. Basisty's awards include two "Aging Cell Best Paper Prizes", in 2014 and 2017 and the Joseph A. Pignolo, Sr. Award in Aging Research 2016, and the prestigious K99/R00 Pathway to Independence Award in 2020.

Selected Publications

  1. Olinger B, Anerillas C, Herman AB, Tsitsipatis D, Banarjee R, Tanaka T, Candia J, Maragkakis M, Bandinelli S, Walker KA, Simonsick EM, Qi YA, Ferrucci L, Gorospe M, Basisty N. Circulating cell type senescence signatures track distinct dimensions of health status and trajectories in human longitudinal cohorts. Cell Rep. 2026;45(6):117389.
  2. Anerillas C, Altés G, Gresova K, Tsitsipatis D, Mazan-Mamczarz K, Banarjee R, Cunningham ASG, Salamini-Montemurri M, Yang JH, Munk R, Rossi M, Piao Y, Olinger B, Strassheim Q, Martindale JL, Fan J, Cui CY, De S, Rutherford DV, Hao Y, Li Z, Roberts J, Qi YA, Abdelmohsen K, de Cabo R, Herman AB, Maragkakis M, Basisty N, Gorospe M. SenCat: Cataloging human cell senescence through multi-omic profiling of multiple senescent primary cell types. Mol Cell. 2026;86(13):2605-2616.e8.
  3. Olinger B, Banarjee R, Dey A, Tsitsipatis D, Tanaka T, Ram A, Nyunt T, Daya GN, Peng Z, Shrivastava M, Cui L, Candia J, Simonsick EM, Gorospe M, Walker KA, Ferrucci L, Basisty N. The secretome of senescent monocytes predicts age-related clinical outcomes in humans. Nat Aging. 2025;5(7):1266-1279.
  4. Boroumand M, Dey A, Cupp-Sutton K, Pierce T, Tsitsipatis D, Herman AB, Wu S, Basisty N. Characterization of the Intact Proteomic Profile of Senescent-Associated Secretory Phenotype by Top-Down Mass Spectrometry. Anal Chem. 2025;97(47):25967-25978.

Related Scientific Focus Areas

This page was last updated on Friday, August 21, 2026