Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Samuel Schaffter (Fed)

Chemical Engineer

Sam Schaffter is the lead scientist for RNA Synthetic Biology in the Cellular Engineering Group at NIST. His recent work focuses on moving nucleic acid strand displacement circuits developed for DNA computing from the test tube to living cells. Current DNA-based circuits are single use, suffer from degradation in cells, and cannot be easily genetically encoded, limiting their practical applications. Sam’s research focuses on developing transcriptionally encoding RNA-based strand displacement circuits, equivalent to those developed in DNA computing, that can be genetically encoded and operated continuously in cells. These circuits could be programmed to recognize complex differential gene expression patterns in real-time inside cells, potentially enabling a new class of living measurement systems. To support the development of this, and other RNA biotechnologies, the RNA Synthetic Biology team also develops measurements for characterizing RNA across different environments, from in vitro transcription to cell-free expression systems to living cells.

POSTDOCTORAL RESEARCH OPPORTUNITIES

National Research Council Research Associateship Program at NIST:

Positions for non-US citizens:

  • Please contact Dr. Schaffter directly

Dr. Schaffter is currently an advisor on the following projects:

  • RNA computation and metrology for engineering biology: We are developing predictable and versatile RNA circuits to meet emerging molecular computation and measurement needs in biological systems. We are also developing measurement techniques to characterize these RNA circuits in diverse environments.

Selected publications (Google scholar)

  • Alperovich, N.Y., Vasilyeva, O.B., Schaffter, S.W., Prevention of ribozyme catalysis through cDNA synthesis enables accurate RT-qPCR measurements of context-dependent ribozyme activity. bioRxiv. 2024. DOI: https://doi.org/10.1101/2024.07.19.604288 
  • Lee, H., Xie, T., Kang, B., Yu, X., Schaffter, S.W., Schulman, R. Plug-and-play protein biosensors using aptamer-regulated in vitro transcription. Nature Communications. 2024. DOI: https://doi.org/10.1038/s41467-024-51907-4 
  • Schaffter, S.W., Kengmana, E., Fern, J., Byrne, S.R., Schulman, R. Strategies to Reduce Promoter-Independent Transcription of DNA Nanostructures and Strand Displacement Complexes. ACS Synthetic Biology. 2024. DOI: https://pubs.acs.org/doi/10.1021/acssynbio.3c00726 
  • Schaffter, S.W., Wintenberg, M.E., Murphy, T.M., Strychalski, E.A. Design approaches to expand the toolkit for building cotranscriptionally encoded RNA strand displacement circuits. ACS Synthetic Biology. 2023. DOI: https://pubs.acs.org/doi/abs/10.1021/acssynbio.3c00079 
  • Schaffter, S. W.; Murphy, T. M. ctRSD_simulator_2.0. https://ctrsd-simulator.readthedocs.io/en/latest/ 
  • Schaffter, S.W., Strychalski, E.A. Cotranscriptionally encoded RNA strand displacement circuits. Science Advances. 2022;8(12). DOI:  https://www.science.org/doi/10.1126/sciadv.abl4354 
  • Schaffter, S.W., Chen, K.L., O’Brien, J., Noble, M., Murugan, A., Schulman, R. Standardized excitable elements for scalable engineering of far-from-equilibrium chemical networks. Nature Chemistry. 2022;1-9. DOI: https://doi.org/10.1038/s41557-022-01001-3 
  • Schaffter, S.W., Scalise, D., Patel, A.*, Murphy, T.M., Schulman, R. Feedback regulation of crystal growth by buffering monomer concentrations. Nature Communications. 2020;11(1)6057. DOI: https://doi.org/10.1038/s41467-020-19882-8 
  • Schaffter, S.W., Green, L.N., Schneider, J.*, Subramanian, H.K.K., Schulman, R., Franco, E. T7 RNA polymerase non-specifically transcribes and induces disassembly of DNA nanostructures. Nucleic Acids Research. 2018;46(10):5332-5343. DOI: https://doi.org/10.1093/nar/gky283 

 

Awards

2016 NSF Graduate Research Fellowship

2020 NRC Postdoctoral Research Fellowship

2021 Robert Dirks Molecular Programming Prize: https://isnsce.org/awards/dirksprize/

2024 NIST Postdoctoral and Early-career Association of Researchers Technical Accolade

Publications

Experimental Evaluation of AI-Driven Protein Design Risks Using Safe Biological Proxies

Author(s)
Svetlana Ikonomova, Bruce Wittmann, Fernanda Piorino Macruz de Oliveira, David Ross, Samuel Schaffter, Olga Vasilyeva, Elizabeth Strychalski, Eric Horvitz, James Diggans, Sheng Lin-Gibson, Geoffrey Taghon
Advances in machine learning are providing new abilities for engineering biology, promising leaps forward with beneficial applications. At the same time, these

Patents (2018-Present)

Aptamer Regulated Transcription For In-Vitro Sensing And Transduction

NIST Inventors
Samuel Schaffter
Described are nucleic acid transcription templates, systems and methods for detection and measurement of molecules and biomolecules (e.g., biomarkers). Particularly, systems and methods utilize a transcription template with an aptamer domain configured to bind a molecule of interest to regulate
Depiction of co-transcriptional RNA strand displacement (ctRSD) design.

CTRSD Gate And Performing Co-Transcriptional Encoding

NIST Inventors
Samuel Schaffter
Scalable and programmable co-transcriptional RNA strand displacement (ctRSD) circuits. In ctRSD, circuit components isothermally self-assemble and execute programmed computations in a single transcription reaction. This is achieved through two new innovations: 1) the use of the HDV self-cleaving
Created September 1, 2020, Updated September 23, 2024
Was this page helpful?