Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Elizabeth A. Strychalski"'
Autor:
Jayan Rammohan, Steven P. Lund, Nina Alperovich, Vanya Paralanov, Elizabeth A. Strychalski, David Ross
Publikováno v:
Communications Biology, Vol 4, Iss 1, Pp 1-14 (2021)
Rammohan et al. propose a generalizable framework for performing multiple methods in parallel using split samples, so that experimental variability is defined and compared between methods. Their framework provides a practical solution for benchmarkin
Externí odkaz:
https://doaj.org/article/18b4195254e744b8911081408a581ce2
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-9 (2020)
Genome-scale engineering requires the integration of a wide range of in silico and in vivo technologies, as well data management procedures and legal infrastructure. Here the authors provide a list of recommendations to address these challenges.
Externí odkaz:
https://doaj.org/article/6e2b00be562f422f97310610f3d902b6
Autor:
Jennifer L. Mantle, Jayan Rammohan, Eugenia F. Romantseva, Joel T. Welch, Leah R. Kauffman, Jim McCarthy, John Schiel, Jeffrey C. Baker, Elizabeth A. Strychalski, Kelley C. Rogers, Kelvin H. Lee
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 7 (2019)
Cyberbiosecurity is an emerging discipline that addresses the unique vulnerabilities and threats that occur at the intersection of cyberspace and biotechnology. Advances in technology and manufacturing are increasing the relevance of cyberbiosecurity
Externí odkaz:
https://doaj.org/article/9a9414ec906b4e9c95fe3bf0ff2c0e7f
Publikováno v:
AIP Advances, Vol 3, Iss 4, Pp 042115-042115 (2013)
We report strong evidence for a localized transition in the size variation of circular DNA between strong and moderate regimes of slitlike confinement. A novel and rigorous statistical analysis was applied to our recent experimental measurements of D
Externí odkaz:
https://doaj.org/article/70b6440a0a1e42e9831d85de28c81483
Cotranscriptionally encoded RNA strand displacement (ctRSD) circuits are an emerging tool for programmable molecular computation with potential applications spanningin vitrodiagnostics to continuous computation inside living cells. In ctRSD circuits,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c0f00d273100789358801b5acb05deff
https://doi.org/10.1101/2023.02.01.526534
https://doi.org/10.1101/2023.02.01.526534
Autor:
David L. Ross, Nina Alperovich, Vanya Paralanov, Jayan Rammohan, Steven P. Lund, Elizabeth A. Strychalski
Publikováno v:
Communications Biology, Vol 4, Iss 1, Pp 1-14 (2021)
Communications Biology
Communications Biology
Single-cell and single-transcript measurement methods have elevated our ability to understand and engineer biological systems. However, defining and comparing performance between methods remains a challenge, in part due to the confounding effects of
Publikováno v:
Trends in cell biology. 32(11)
Genomically minimal cells, such as JCVI-syn3.0 and JCVI-syn3A, offer an empowering framework to study relationships between genotype and phenotype. With a polygenic basis, the fundamental physiological process of cell division depends on multiple gen
Autor:
Eugenia F. Romantseva, Drew S. Tack, Elizabeth A. Strychalski, Peter D. Tonner, Abe Pressman, Jayan Rammohan
Publikováno v:
Curr Opin Syst Biol
Precise engineering of biological systems requires quantitative, high-throughput measurements, exemplified by progress in directed evolution. New approaches allow high-throughput measurements of phenotypes and their corresponding genotypes. When inte
Publikováno v:
Synth Biol (Oxf)
DNA templates for protein production remain an unexplored source of variability in the performance of cell-free expression (CFE) systems. To characterize this variability, we investigated the effects of two common DNA extraction methodologies, a post
Publikováno v:
Methods in molecular biology (Clifton, N.J.). 2433
Performance variability is a common challenge in cell-free protein production and hinders a wider adoption of these systems for both research and biomanufacturing. While the inherent stochasticity and complexity of biology likely contributes to varia