Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Evan Janzen"'
Autor:
Josh Kenchel, Alberto Vázquez-Salazar, Reno Wells, Krishna Brunton, Evan Janzen, Kyle M. Schultz, Ziwei Liu, Weiwei Li, Eric T. Parker, Jason P. Dworkin, Irene A. Chen
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-9 (2024)
Abstract Modern life is essentially homochiral, containing D-sugars in nucleic acid backbones and L-amino acids in proteins. Since coded proteins are theorized to have developed from a prebiotic RNA World, the homochirality of L-amino acids observed
Externí odkaz:
https://doaj.org/article/ebe27735b17b455bbcabf82d69dea8ba
Autor:
Evan Janzen, Yuning Shen, Alberto Vázquez-Salazar, Ziwei Liu, Celia Blanco, Josh Kenchel, Irene A. Chen
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-12 (2022)
Complex biochemical systems exhibit traits that appear to be highly adapted. Studies of catalytic RNA demonstrate that adaptive traits, such as increased specificity and error tolerance, could originate as evolutionary by-products.
Externí odkaz:
https://doaj.org/article/116b86c319a0439b805c758dbc7fa34d
Autor:
Laura Blum, Brittany Sexton, Jonathan C. Sanford, Evan Janzen, Luo Sun, Paul A. Koetsier, Keerthana Krishnan, Lynne Apone, Bradley W. Langhorst
Publikováno v:
Cancer Research. 83:260-260
HEK293 cells are used extensively in cancer research, with more than 4800 articles between 2017 and 2022 (PubMed search “cancer[MeSH Major Topic] and hek293”). Studies involving transfection to overexpress, knock down, or modify proteins in these
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d253c874cca1131697b74cbfe5f94e15
https://doi.org/10.1158/1538-7445.am2023-260
https://doi.org/10.1158/1538-7445.am2023-260
Autor:
Evan Janzen, Yuning Shen, Alberto Vázquez-Salazar, Ziwei Liu, Celia Blanco, Josh Kenchel, Irene A. Chen
Publikováno v:
Nature communications, vol 13, iss 1
Systems of catalytic RNAs presumably gave rise to important evolutionary innovations, such as the genetic code. Such systems may exhibit particular tolerance to errors (error minimization) as well as coding specificity. While often assumed to result
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1bef1c44e85e19401c611e68b498ecc
https://pubmed.ncbi.nlm.nih.gov/35752631
https://pubmed.ncbi.nlm.nih.gov/35752631
The emergence of the genetic code was a major transition in the evolution from a prebiotic RNA world to the earliest modern cells1. A prominent feature of the standard genetic code is error minimization, or the tendency of mutations to be unusually c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::daf94213c15ef6ef0cec3c7d70ba4877
https://doi.org/10.1101/2021.05.14.444235
https://doi.org/10.1101/2021.05.14.444235
Publikováno v:
Nucleic Acids Research
Characterization of genotype-phenotype relationships of genetically encoded molecules (e.g., ribozymes) requires accurate quantification of activity for a large set of molecules. Kinetic measurement using high-throughput sequencing (e.g., k-Seq) is a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24963e7216019452dbca849f812bfd67
https://doi.org/10.1101/2020.12.02.407346
https://doi.org/10.1101/2020.12.02.407346
Publikováno v:
Chemical Reviews
The ability of enzymes, including ribozymes, to catalyze side reactions is believed to be essential to the evolution of novel biochemical activities. It has been speculated that the earliest ribozymes, whose emergence marked the origin of life, were
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ba9f8f44cc9b9440cae4f74b8742f3c
https://pubmed.ncbi.nlm.nih.gov/32011135
https://pubmed.ncbi.nlm.nih.gov/32011135
Autor:
Ziwei Liu, Gerald F. Joyce, Celia Blanco, Evan Janzen, Robert Pascal, Abe Pressman, Ulrich Müller, Irene A. Chen
Publikováno v:
Journal of the American Chemical Society, vol 141, iss 15
Pressman, Abe D; Liu, Ziwei; Janzen, Evan; Blanco, Celia; Müller, Ulrich F; Joyce, Gerald F; et al.(2019). Mapping a systematic ribozyme fitness landscape reveals a frustrated evolutionary network for self-aminoacylating RNA.. Journal of the American Chemical Society. doi: 10.1021/jacs.8b13298. UC Santa Barbara: Retrieved from: http://www.escholarship.org/uc/item/70w615ck
Pressman, Abe D; Liu, Ziwei; Janzen, Evan; Blanco, Celia; Müller, Ulrich F; Joyce, Gerald F; et al.(2019). Mapping a systematic ribozyme fitness landscape reveals a frustrated evolutionary network for self-aminoacylating RNA.. Journal of the American Chemical Society. doi: 10.1021/jacs.8b13298. UC Santa Barbara: Retrieved from: http://www.escholarship.org/uc/item/70w615ck
[Image: see text] Molecular evolution can be conceptualized as a walk over a “fitness landscape”, or the function of fitness (e.g., catalytic activity) over the space of all possible sequences. Understanding evolution requires knowing the structu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::97e7cf149ca56593ec9eeb4691f60322
https://europepmc.org/articles/PMC6548421/
https://europepmc.org/articles/PMC6548421/
Publikováno v:
Annual review of biophysics, vol 48, iss 1
Blanco, Celia; Janzen, Evan; Pressman, Abe; Saha, Ranjay; & Chen, Irene A. (2019). Molecular Fitness Landscapes from High-Coverage Sequence Profiling.. Annual review of biophysics, 48(1). doi: 10.1146/annurev-biophys-052118-115333. UC Santa Barbara: Retrieved from: http://www.escholarship.org/uc/item/4m29s3r1
Blanco, Celia; Janzen, Evan; Pressman, Abe; Saha, Ranjay; & Chen, Irene A. (2019). Molecular Fitness Landscapes from High-Coverage Sequence Profiling.. Annual review of biophysics, 48(1). doi: 10.1146/annurev-biophys-052118-115333. UC Santa Barbara: Retrieved from: http://www.escholarship.org/uc/item/4m29s3r1
The function of fitness (or molecular activity) in the space of all possible sequences is known as the fitness landscape. Evolution is a random walk on the fitness landscape, with a bias toward climbing hills. Mapping the topography of real fitness l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::552f21d32f085c195e73ca801c0eb8b7
https://pubmed.ncbi.nlm.nih.gov/30601678
https://pubmed.ncbi.nlm.nih.gov/30601678