Correlation Between Protein Primary Structure and Soluble Expression Level of HSA dAb in Escherichia coli

It is widely accepted that features such as pI, length, molecular mass and amino acid (AA) sequence have a significant influence on protein solubility. Here, we mainly focused on AA composition and explored those that most affected the soluble expression level of human serum albumin (HSA) domain ant...

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Main Authors: Yankun Yang, Guoqiang Liu, Meng Liu, Zhonghu Bai, Xiuxia Liu, Wenwen Guo, Xiaofeng Dai
Format: Article
Language:English
Published: University of Zagreb 2018-01-01
Series:Food Technology and Biotechnology
Subjects:
Online Access:http://hrcak.srce.hr/file/290750
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spelling doaj-64aefc538e2a4494b6f8d2ca1e7714852020-11-25T01:41:01ZengUniversity of ZagrebFood Technology and Biotechnology1330-98621334-26062018-01-01561101109Correlation Between Protein Primary Structure and Soluble Expression Level of HSA dAb in Escherichia coliYankun YangGuoqiang LiuMeng LiuZhonghu BaiXiuxia LiuWenwen GuoXiaofeng DaiIt is widely accepted that features such as pI, length, molecular mass and amino acid (AA) sequence have a significant influence on protein solubility. Here, we mainly focused on AA composition and explored those that most affected the soluble expression level of human serum albumin (HSA) domain antibody (dAb). The soluble expression and sequence of 65 dAb variants were analysed using clustering and linear modelling. Certain AAs significantly affected the soluble expression level of dAb, with the specific AA combinations being (S, R, N, D, Q), (G, R, C, N, S) and (R, S, G); these combinations respectively affected the dAb expression level in the broth supernatant, the level in the pellet lysate and total soluble dAb. Among the 20 AAs, R displayed a negative influence on the soluble expression level, whereas G and S showed positive effects. A linear model was built to predict the soluble expression level from the sequence; this model had a prediction accuracy of 80 %. In summary, increasing the content of polar AAs, especially G and S, and decreasing the content of R, was helpful to improve the soluble expression level of HSA dAb. http://hrcak.srce.hr/file/290750domain antibody (dAb)Escherichia coliheterologous protein soluble expressionlinear modellingprimary structure
collection DOAJ
language English
format Article
sources DOAJ
author Yankun Yang
Guoqiang Liu
Meng Liu
Zhonghu Bai
Xiuxia Liu
Wenwen Guo
Xiaofeng Dai
spellingShingle Yankun Yang
Guoqiang Liu
Meng Liu
Zhonghu Bai
Xiuxia Liu
Wenwen Guo
Xiaofeng Dai
Correlation Between Protein Primary Structure and Soluble Expression Level of HSA dAb in Escherichia coli
Food Technology and Biotechnology
domain antibody (dAb)
Escherichia coli
heterologous protein soluble expression
linear modelling
primary structure
author_facet Yankun Yang
Guoqiang Liu
Meng Liu
Zhonghu Bai
Xiuxia Liu
Wenwen Guo
Xiaofeng Dai
author_sort Yankun Yang
title Correlation Between Protein Primary Structure and Soluble Expression Level of HSA dAb in Escherichia coli
title_short Correlation Between Protein Primary Structure and Soluble Expression Level of HSA dAb in Escherichia coli
title_full Correlation Between Protein Primary Structure and Soluble Expression Level of HSA dAb in Escherichia coli
title_fullStr Correlation Between Protein Primary Structure and Soluble Expression Level of HSA dAb in Escherichia coli
title_full_unstemmed Correlation Between Protein Primary Structure and Soluble Expression Level of HSA dAb in Escherichia coli
title_sort correlation between protein primary structure and soluble expression level of hsa dab in escherichia coli
publisher University of Zagreb
series Food Technology and Biotechnology
issn 1330-9862
1334-2606
publishDate 2018-01-01
description It is widely accepted that features such as pI, length, molecular mass and amino acid (AA) sequence have a significant influence on protein solubility. Here, we mainly focused on AA composition and explored those that most affected the soluble expression level of human serum albumin (HSA) domain antibody (dAb). The soluble expression and sequence of 65 dAb variants were analysed using clustering and linear modelling. Certain AAs significantly affected the soluble expression level of dAb, with the specific AA combinations being (S, R, N, D, Q), (G, R, C, N, S) and (R, S, G); these combinations respectively affected the dAb expression level in the broth supernatant, the level in the pellet lysate and total soluble dAb. Among the 20 AAs, R displayed a negative influence on the soluble expression level, whereas G and S showed positive effects. A linear model was built to predict the soluble expression level from the sequence; this model had a prediction accuracy of 80 %. In summary, increasing the content of polar AAs, especially G and S, and decreasing the content of R, was helpful to improve the soluble expression level of HSA dAb.
topic domain antibody (dAb)
Escherichia coli
heterologous protein soluble expression
linear modelling
primary structure
url http://hrcak.srce.hr/file/290750
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