Evidence map›Paper›PMID 38114492›Full record

ArticleScientific data2023

Single-cell transcriptome sequencing of plant leaf expressing anti-HER2 VHH-FcK cancer therapeutic protein.

Myung-Shin Kim, Seung-Won Lee, Kibum Kim, Yerin Kim, Hyunjoo Hwang, Peter Hinterdorfer, Doil Choi, Kisung Ko

Open access · goldAbstract readDataset
In one paragraph

Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.9field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 7 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 3 countries.

Myung-Shin Kim *Department of Agriculture, Forestry and Bioresources, Plant Genomics and Breeding Institute, College of Agriculture and Life Science, Seoul National University, Seoul, 08826, Korea.ORCID 0000-0002-5967-4347
Seung-Won Lee *Cancer Early Detection Advanced Research Center, Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon, 97201, USA.ORCID 0000-0001-8893-8332
Kibum KimDepartment of Medicine, College of Medicine, Chung-Ang University, Seoul, 06074, Korea.
Yerin KimDepartment of Medicine, College of Medicine, Chung-Ang University, Seoul, 06074, Korea.
Hyunjoo HwangDepartment of Medicine, College of Medicine, Chung-Ang University, Seoul, 06074, Korea.
Peter HinterdorferDepartment of Applied Experimental Biophysics, Johannes Kepler University Linz, 4040, Linz, Austria.
Doil ChoiDepartment of Agriculture, Forestry and Bioresources, Plant Genomics and Breeding Institute, College of Agriculture and Life Science, Seoul National University, Seoul, 08826, Korea.ORCID 0000-0002-4366-3627
Kisung KoDepartment of Medicine, College of Medicine, Chung-Ang University, Seoul, 06074, Korea. ksko@cau.ac.kr.ORCID 0000-0003-4964-0845
Chung-Ang University · KRSeoul National University · KRJohannes Kepler University of Linz · ATOregon Health & Science University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Breast NeoplasmsTranscriptomeFemaleHumansPlant LeavesPlants, Genetically ModifiedRecombinant ProteinsRecombinant Proteins

Identifiers

PMID38114492
PMCPMC10730532
OpenAlexW4389954505

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.