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全长蛋白质的高分辨率序列-功能图谱

High-resolution sequence-function mapping of full-length proteins.

作者信息

Kowalsky Caitlin A, Klesmith Justin R, Stapleton James A, Kelly Vince, Reichkitzer Nolan, Whitehead Timothy A

机构信息

Department of Chemical Engineering and Materials Science, Michigan State University, East Lansing, Michigan, United States of America.

Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, Michigan, United States of America.

出版信息

PLoS One. 2015 Mar 19;10(3):e0118193. doi: 10.1371/journal.pone.0118193. eCollection 2015.

Abstract

Comprehensive sequence-function mapping involves detailing the fitness contribution of every possible single mutation to a gene by comparing the abundance of each library variant before and after selection for the phenotype of interest. Deep sequencing of library DNA allows frequency reconstruction for tens of thousands of variants in a single experiment, yet short read lengths of current sequencers makes it challenging to probe genes encoding full-length proteins. Here we extend the scope of sequence-function maps to entire protein sequences with a modular, universal sequence tiling method. We demonstrate the approach with both growth-based selections and FACS screening, offer parameters and best practices that simplify design of experiments, and present analytical solutions to normalize data across independent selections. Using this protocol, sequence-function maps covering full sequences can be obtained in four to six weeks. Best practices introduced in this manuscript are fully compatible with, and complementary to, other recently published sequence-function mapping protocols.

摘要

全面的序列-功能图谱绘制涉及通过比较在针对感兴趣的表型进行选择前后每个文库变体的丰度,详细说明每个可能的单突变对一个基因的适应性贡献。对文库DNA进行深度测序可在单个实验中对数万个变体进行频率重建,然而当前测序仪的短读长使得探测编码全长蛋白质的基因具有挑战性。在这里,我们用一种模块化、通用的序列平铺方法将序列-功能图谱的范围扩展到整个蛋白质序列。我们通过基于生长的选择和荧光激活细胞分选(FACS)筛选展示了该方法,提供了简化实验设计的参数和最佳实践,并提出了跨独立选择对数据进行归一化的分析解决方案。使用该方案,可在四到六周内获得覆盖完整序列的序列-功能图谱。本手稿中介绍的最佳实践与其他最近发表的序列-功能图谱绘制方案完全兼容且相辅相成。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c91/4366243/32b26433b3f8/pone.0118193.g001.jpg

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