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Sarah (Sarai) Williams

Sarah (Sarai) Williams is an analytical chemist with the Biomolecular Pathways 1 team. Williams has extensive experience with nanochip fabrication, robotic nanosampling, microfluidics, and LC-MS operations. She assists Ying Zhu using the nanoPOTS (Nanodroplet Processing in One pot for Trace Samples) platform for the automation of single-cell proteomics and metabolomics research.

Williams also works closely with the Integrative Omics group in the Biological Sciences Division on biological and environmental mass spectrometry multi-omics data acquisition. Here in EMSL, Sarah collaborates in many projects with bulk-scale and single-cell mass spectrometry methods using highly sensitive and high-throughput technologies.

Research Interests

  • Microfluidic techniques for chemical and biological research
  • Automation of nanosampling for sample preparation
  • Ultrasensitive LC-MS instrumentation and methods
  • Proteomic and metabolomic analysis of single cells


  • BS in Biological Sciences, Washington State University, 2018



Tsai C., Y. Wang, C. Hsu, R. Kitata, R.K. Chu, M. Velickovic, and R. Zhao, et al. 2022. "A streamlined tandem tip-based workflow for sensitive nanoscale phosphoproteomics." bioRxiv. PNNL-SA-171979.


Woo J., S.M. Williams, L. Markillie, S. Feng, C. Tsai, V. Aguilera-Vazquez, and R.L. Sontag, et al. 2021. "High-throughput and high-efficiency sample preparation for single-cell proteomics using a nested nanowell chip." Nature Communications 12, no. 1:Art. No. 6246. PNNL-SA-159977. doi:10.1038/s41467-021-26514-2

Woo J., G. Clair, S. Feng, S.M. Williams, C. Tsai, R.J. Moore, and W.B. Chrisler, et al. 2022. "Three-dimensional feature matching improves coverage for single-cell proteomics based on ion mobility filtering." Cell Systems 13. PNNL-SA-156470. doi:10.1016/j.cels.2022.02.003


Weke K., A. Singh, N.O. Uwugiaren, J. Alfaro, T. Wang, T. Hupp, and R. Oneill, et al. 2020. "MicroPOTS analysis of Barrett’s oesophageal cell line models identifies proteomic changes after physiologic and radiation stress." Journal of Proteome Research. PNNL-SA-155546.

Tsai C., R. Zhao, S.M. Williams, R.J. Moore, K.D. Schultz, W.B. Chrisler, and L. Pasa Tolic, et al. 2020. "An Improved Boosting to Amplify Signal with Isobaric Labeling (iBASIL) Strategy for Precise Quantitative Single-cell Proteomics." Molecular and Cellular Proteomics 19, no. 5:828-838. PNNL-SA-149183. doi:10.1074/mcp.RA119.001857

Williams S.M., A.V. Liyu, C. Tsai, R.J. Moore, D.J. Orton, W.B. Chrisler, and M.J. Gaffrey, et al. 2020. "Automated coupling of nanodroplet sample preparation with liquid chromatography-mass spectrometry for high-throughput single-cell proteomics." Analytical Chemistry 92, no. 15:10588-10596. PNNL-SA-152553. doi:10.1021/acs.analchem.0c01551

Xiang P., Y. Zhu, Y. Yang, Z. Zhao, S.M. Williams, R.J. Moore, and R.T. Kelly, et al. 2020. "Picoflow Liquid Chromatography-Mass Spectrometry for Ultrasensitive Bottom-up Proteomics using 2-µm i.d. Open Tubular Columns." Analytical Chemistry 92, no. 7:4711-4715. PNNL-SA-150120. doi:10.1021/acs.analchem.9b05639

Zhou M., N.O. Uwugiaren, S.M. Williams, R.J. Moore, R. Zhao, D. Goodlett, and I. Dapic, et al. 2020. "Sensitive Top-Down Proteomics Analysis of Low Number of Mammalian Cells Using a Nanodroplet Sample Processing Platform." Analytical Chemistry 92, no. 10:7087-7095. PNNL-SA-149823.