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Quantitative characterization of all single amino acid variants of a viral capsid-based drug delivery vehicle

Journal Article · · Nature Communications
 [1];  [2];  [3];  [3];  [3];  [4];  [5]
  1. Univ. of California, Berkeley, CA (United States). Dept. of Chemistry; University of California, Berkeley
  2. Univ. of California, Berkeley, CA (United States). Dept. of Chemical and Biomolecular Engineering
  3. Univ. of California, Berkeley, CA (United States). Dept. of Chemistry
  4. Univ. of California, Berkeley, CA (United States). Dept. of Chemistry; Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Materials Sciences Division
  5. Northwestern Univ., Evanston, IL (United States). Dept. of Chemical and Biomedical Engineering
Self-assembling proteins are critical to biological systems and industrial technologies, but predicting how mutations affect self-assembly remains a significant challenge. Here, we report a technique, termed SyMAPS (Systematic Mutation and Assembled Particle Selection), that can be used to characterize the assembly competency of all single amino acid variants of a self-assembling viral structural protein. SyMAPS studies on the MS2 bacteriophage coat protein revealed a high-resolution fitness landscape that challenges some conventional assumptions of protein engineering. An additional round of selection identified a previously unknown variant (CP[T71H]) that is stable at neutral pH but less tolerant to acidic conditions than the wild-type coat protein. The capsids formed by this variant could be more amenable to disassembly in late endosomes or early lysosomes—a feature that is advantageous for delivery applications. In addition to providing a mutability blueprint for virus-like particles, SyMAPS can be readily applied to other self-assembling proteins.
Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Basic Energy Sciences (BES). Materials Sciences & Engineering Division
Grant/Contract Number:
AC02-05CH11231
OSTI ID:
1624088
Journal Information:
Nature Communications, Journal Name: Nature Communications Journal Issue: 1 Vol. 9; ISSN 2041-1723
Publisher:
Nature Publishing GroupCopyright Statement
Country of Publication:
United States
Language:
English

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Cited By (6)

MaveDB: an open-source platform to distribute and interpret data from multiplexed assays of variant effect journal November 2019
Cytoplasmic glycoengineering enables biosynthesis of nanoscale glycoprotein assemblies text January 2019
Saturation Mutagenesis Genome Engineering of Infective ΦX174 Bacteriophage via Unamplified Oligo Pools and Golden Gate Assembly journal December 2019
Cytoplasmic glycoengineering enables biosynthesis of nanoscale glycoprotein assemblies journal November 2019
The causes of evolvability and their evolution journal November 2018
The causes of evolvability and their evolution text January 2019

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