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https://hdl.handle.net/10356/165616
Title: | A new combinatorial megaplasmid library assembly method designed to screen for minimal pathways by using SCRaMbLE | Authors: | Yap, Wei Sheng Thibault, Guillaume |
Keywords: | Science::Biological sciences | Issue Date: | 2022 | Source: | Yap, W. S. & Thibault, G. (2022). A new combinatorial megaplasmid library assembly method designed to screen for minimal pathways by using SCRaMbLE. MicroPublication Biology, 2022. https://dx.doi.org/10.17912/micropub.biology.000657 | Project: | NRF2018NRFNSFC003SB-006 | Journal: | microPublication Biology | Abstract: | Human proteins expressed in yeast are common to enhance protein production while the expression of functional human pathways remain challenging. Here, we propose a simple and economical high-throughput gene assembly method to create a yeast megaplasmid library from human cDNA to screen for minimal human functional pathways. We introduced artificial promoters followed by symmetric loxP sites into the megaplasmids using Golden Gate assembly coupled with streptavidin-bead-based purification. The isolated high molecular weight, randomly assembled cDNA megaplasmid library may be useful for high-throughput directed evolution experiments and may be adapted for use in other model organisms. | URI: | https://hdl.handle.net/10356/165616 | ISSN: | 2578-9430 | DOI: | 10.17912/micropub.biology.000657 | DOI (Related Dataset): | 10.21979/N9/XKMAEX | Schools: | School of Biological Sciences | Organisations: | Mechanobiology Institute, NUS Institute of Molecular and Cell Biology, A*STAR |
Rights: | © 2022 by the authors. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | SBS Journal Articles |
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micropub-biology-000657.pdf | 1.13 MB | Adobe PDF | View/Open |
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