Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Nina, Alperovich"'
Publikováno v:
PLoS ONE, Vol 18, Iss 10, p e0292401 (2023)
Although many protocols have been previously developed for genomic DNA (gDNA) extraction from S. cerevisiae, to take advantage of recent advances in laboratory automation and DNA-barcode sequencing, there is a need for automated methods that can prov
Externí odkaz:
https://doaj.org/article/0c19becc441c419ea7a7591b3d2ffcb3
Autor:
Drew S Tack, Peter D Tonner, Abe Pressman, Nathan D Olson, Sasha F Levy, Eugenia F Romantseva, Nina Alperovich, Olga Vasilyeva, David Ross
Publikováno v:
PLoS ONE, Vol 18, Iss 3, p e0283548 (2023)
As synthetic biology expands and accelerates into real-world applications, methods for quantitatively and precisely engineering biological function become increasingly relevant. This is particularly true for applications that require programmed sensi
Externí odkaz:
https://doaj.org/article/021b2a7e505f418e9827dacfaf53e0d0
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
Autor:
Drew S Tack, Peter D Tonner, Abe Pressman, Nathan D Olson, Sasha F Levy, Eugenia F Romantseva, Nina Alperovich, Olga Vasilyeva, David Ross
Publikováno v:
Molecular Systems Biology, Vol 17, Iss 3, Pp 1-26 (2021)
Abstract Allostery is a fundamental biophysical mechanism that underlies cellular sensing, signaling, and metabolism. Yet a quantitative understanding of allosteric genotype‐phenotype relationships remains elusive. Here, we report the large‐scale
Externí odkaz:
https://doaj.org/article/d9a3618aa3a44816b3647fe677f82e63
Autor:
Bin Shao, Jayan Rammohan, Daniel A. Anderson, Nina Alperovich, David Ross, Christopher A. Voigt
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-9 (2021)
A quantitative assessment of promoter function can improve the precision of cellular engineering. Here the authors develop a method to simultaneously count plasmid DNA, RNA transcripts and protein expression in single living bacteria.
Externí odkaz:
https://doaj.org/article/f213c242413e488095465d237f992e7a
Autor:
Drew S Tack, Peter D Tonner, Abe Pressman, Nathan D Olson, Sasha F Levy, Eugenia F Romantseva, Nina Alperovich, Olga Vasilyeva, David Ross
Publikováno v:
Molecular Systems Biology, Vol 17, Iss 12, Pp 1-1 (2021)
Externí odkaz:
https://doaj.org/article/d5fb0b7e4c8c419f9342c6766b2f15df
Autor:
Jacob Beal, Cheryl A Telmer, Alejandro Vignoni, Yadira Boada, Geoff S Baldwin, Liam Hallett, Taeyang Lee, Vinoo Selvarajah, Sonja Billerbeck, Bradley Brown, Guo-nan Cai, Liang Cai, Edward Eisenstein, Daisuke Kiga, David Ross, Nina Alperovich, Noah Sprent, Jaclyn Thompson, Eric M Young, Drew Endy, Traci Haddock-Angelli
Publikováno v:
Synthetic Biology, 7(1), 1-9
Plate readers are commonly used to measure cell growth and fluorescence, yet the utility and reproducibility of plate reader data is limited by the fact that it is typically reported in arbitrary or relative units. We have previously established a ro
Autor:
Nina Alperovich
Here, we describe a protocol for automated extraction of genomic DNA (gDNA) from yeast liquid culture and colonies. The protocol uses a Hamilton NGS-STAR automated liquid handler equipped with thermal-regulated microplate shakers. We have tested this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14945a81308c671d855611d570ed0566
https://doi.org/10.17504/protocols.io.8epv592p5g1b/v2
https://doi.org/10.17504/protocols.io.8epv592p5g1b/v2
Autor:
Drew S. Tack, Peter D. Tonner, Abe Pressman, Nathanael D. Olson, Sasha F Levy, Eugenia F. Romantseva, Nina Alperovich, Olga Vasilyeva, David Ross
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99da06b664ff2f76fdbe5d7669feec12
https://doi.org/10.15252/rc.2022372200
https://doi.org/10.15252/rc.2022372200
Autor:
Sanjay Vashee, Timothy B. Stockwell, Nina Alperovich, Evgeniya A. Denisova, Daniel G. Gibson, Kyle C. Cady, Kristofer Miller, Krishna Kannan, Daniel Malouli, Lindsey B. Crawford, Alexander A. Voorhies, Eric Bruening, Patrizia Caposio, Klaus Früh
Publikováno v:
mSphere, Vol 2, Iss 5 (2017)
ABSTRACT Genetic engineering of cytomegalovirus (CMV) currently relies on generating a bacterial artificial chromosome (BAC) by introducing a bacterial origin of replication into the viral genome using in vivo recombination in virally infected tissue
Externí odkaz:
https://doaj.org/article/a21d363ce75f422ea5457758aa820bd9