Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Alec A. K. Nielsen"'
Autor:
Amin Espah Borujeni, Jing Zhang, Hamid Doosthosseini, Alec A. K. Nielsen, Christopher A. Voigt
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-18 (2020)
Debugging a genetic circuit is frustrated by the inability to characterize parts in the context of the circuit. Here the authors use RNA-seq and ribosome profiling to take ‘snapshots’ of a large circuit in different states.
Externí odkaz:
https://doaj.org/article/67a63b86a841423c9a18630376a49a5c
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-10 (2018)
The synthetic biology era has seen a rapidly growing number of engineered DNA sequences. Here, the authors develop a deep learning method to predict the lab-of-origin of a DNA sequence based on hidden design signatures.
Externí odkaz:
https://doaj.org/article/aff74158519949ea8e1e1dec52978d20
Autor:
Christopher A. Voigt, Jing Zhang, Amin Espah Borujeni, Hamid Doosthosseini, Alec A. K. Nielsen
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-18 (2020)
Nature Communications
Nature Communications
To perform their computational function, genetic circuits change states through a symphony of genetic parts that turn regulator expression on and off. Debugging is frustrated by an inability to characterize parts in the context of the circuit and ide
Autor:
William G Patrick, Alec A K Nielsen, Steven J Keating, Taylor J Levy, Che-Wei Wang, Jaime J Rivera, Octavio Mondragón-Palomino, Peter A Carr, Christopher A Voigt, Neri Oxman, David S Kong
Publikováno v:
PLoS ONE, Vol 10, Iss 12, p e0143636 (2015)
The process of connecting genetic parts-DNA assembly-is a foundational technology for synthetic biology. Microfluidics present an attractive solution for minimizing use of costly reagents, enabling multiplexed reactions, and automating protocols by i
Externí odkaz:
https://doaj.org/article/32960260d88c453d9fef27d9232eabe5
Autor:
Tom Ellis, Bogumil J. Karas, Cintia M. Coelho, Axel Trefzer, Hille Tekotte, Scott C. Lenaghan, Alec A. K. Nielsen, Giovanni Stracquadanio, C. Neal Stewart, Alexander C. Smith, Marc Güell, Leslie A. Mitchell, Nili Ostrov, Bill J. Peck, Jacob Beal, J. William Efcavitch, D. Benjamin Gordon, Jeffery A. Schloss, Henry H. Lee, George M. Church, Joel S. Bader
Publikováno v:
Science. 366:310-312
Engineering biology with recombinant DNA, broadly called synthetic biology, has progressed tremendously in the last decade, owing to continued industrialization of DNA synthesis, discovery and development of molecular tools and organisms, and increas
Publikováno v:
Science. 361
INTRODUCTION Modern computing is based on sequential logic, in which the state of a circuit depends both on the present inputs as well as the input history (memory). Implementing sequential logic inside a living cell would enable it to be programmed
Autor:
Conor J McClune, Alec A. K. Nielsen, Timothy K. Lu, Jesus Fernandez-Rodriguez, Michael T. Laub, Lei Yang, Christopher A. Voigt
Publikováno v:
Nature methods
PMC
PMC
Genetic memory enables the recording of information in the DNA of living cells. Memory can record a transient environmental signal or cell state that is then recalled at a later time. Permanent memory is implemented using irreversible recombinases th
Publikováno v:
Current Opinion in Chemical Biology. 17:878-892
Cells use regulatory networks to perform computational operations to respond to their environment. Reliably manipulating such networks would be valuable for many applications in biotechnology; for example, in having genes turn on only under a defined
Autor:
Alec A. K. Nielsen, Peng Liu, Christopher A. Voigt, Kevin Clancy, Jennifer A N Brophy, Todd Peterson, Ying-Ja Chen
Publikováno v:
Nature Methods. 10:659-664
Large genetic engineering projects require more cistrons and consequently more strong and reliable transcriptional terminators. We have measured the strengths of a library of terminators, including 227 that are annotated in Escherichia coli--90 of wh
Publikováno v:
EMBO Press
Molecular Systems Biology
Molecular Systems Biology
Genetic circuits require many regulatory parts in order to implement signal processing or execute algorithms in cells. A potentially scalable approach is to use dCas9, which employs small guide RNAs (sgRNAs) to repress genetic loci via the programmab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d41816195644f4d83ddc393f8df0b89b
https://orcid.org/0000-0003-0844-4776
https://orcid.org/0000-0003-0844-4776