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Sci. Data, Dec 19 2023, 10 (1) | https://doi.org/10.1038/s41597-023-02833-5 Single-cell transcriptome sequencing of plant leaf expressing anti-HER2 VHH-FcK cancer therapeutic protein

Myung-Shin Kim^1,2,3,7, Seung-Won Lee^4,7, Kibum Kim⁵, Yerin Kim⁵, Hyunjoo Hwang⁵, Peter Hinterdorfer⁶, DoilChoi^1,2 & Kisung Ko⁵

¹Department of Agriculture, Forestry and Bioresources, Plant Genomics and Breeding Institute, College of Agriculture and Life Science, Seoul National University, Seoul, 08826, Korea.

²Plant Immunity Research Center, Seoul National University, Seoul, 08826, Korea.

³Department of Biosciences and Bioinformatics, Myongji University, Yongin, 17058, Korea.

⁴Cancer Early Detection Advanced Research Center, Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon, 97201, USA.

⁵Department of Medicine, College of Medicine, Chung-Ang University, Seoul, 06074, Korea.

⁶Department of Applied Experimental Biophysics, Johannes Kepler University Linz, 4040, Linz, Austria.

⁷These authors contributed equally: Myung-Shin Kim, Seung-Won Lee.

Corresponding author : Correspondence to Kisung Ko.

Abstract

The transgenic plant is a promising strategy for the production of highly valuable biotherapeutic proteins such as recombinant vaccines and antibodies. To achieve an efficient level of protein production, codon sequences and expression cassette elements need to be optimized. However, the systematical expression of recombinant proteins in plant biomass can generally be controlled for the production of therapeutic proteins after the generation of transgenic plants. Without understanding the transgene expression patterns in plant tissue, it is difficult to enhance further production levels. In this study, single-cell RNA-sequencing (scRNA-seq) analysis of transgenic tobacco (Nicotiana tabacum) leaf, expressing an immunotherapeutic llama antibody against breast cancer, anti-HER2 VHH-Fc, was conducted to obtain data on the expression pattern of tissue-specific cells. These high-quality scRNA-seq data enabled the identification of gene expression patterns by cell types, which can be applied to select the best cell types or tissues for the high production of these recombinant antibodies. These data provide a foundation to elucidate the mechanisms that regulate the biosynthesis of recombinant proteins in N. tabacum.

논문정보

형식Research article
게재일2023년 12월 (BRIC 등록일 2023-12-22)
연구진국내(교신)+국외 연구진
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