Evidence map›Paper›PMID 37695454›Full record

ArticleDaru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences2023

Comparison of different transient gene expression systems for the production of a new humanized anti-HER2 monoclonal antibody (Hersintuzumab).

Ali Roshani, Mehdi Mohammadi, Tannaz Bahadori, Hengameh Ahmadi Zare, Mohammad Ali Judaki, Maryam Mobini, Forough Golsaz-Shirazi, Mahmood Jeddi-Tehrani, Mohammad Mehdi Amiri, Fazel Shokri

Open access · greenAbstract read
In one paragraph

Article in Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
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

10 authors at 2 institutions in 1 country.

Ali RoshaniDepartment of Immunology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Mehdi MohammadiDepartment of Immunology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Tannaz BahadoriDepartment of Immunology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Hengameh Ahmadi ZareMonoclonal Antibody Research Center, Avicenna Research Institute, ACECR, Tehran, Iran.
Mohammad Ali JudakiDepartment of Immunology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Maryam MobiniDepartment of Immunology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Forough Golsaz-ShiraziDepartment of Immunology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Mahmood Jeddi-TehraniMonoclonal Antibody Research Center, Avicenna Research Institute, ACECR, Tehran, Iran. mahjed@yahoo.com.
Mohammad Mehdi AmiriDepartment of Immunology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran. m_amiri@tums.ac.ir.
Fazel ShokriDepartment of Immunology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran. fshokri@tums.ac.ir.
Tehran University of Medical Sciences · IRAcademic Center for Education, Culture and Research · IR

Funding

National Institute for Medical Research Development 964157Tehran University of Medical Sciences and Health Services 98-3-99-41359
6 · The paper itself

Abstract

backgroundProducing therapeutic proteins can be done quickly and on a large scale through Transient Gene Expression (TGE). Chinese hamster ovary (CHO) cell lines are commonly used to achieve this. Although there are few comparative studies, TGE has been observed in suspension-adapted CHO cells.

objectivesWe tested TGE's effectiveness in DG-44, CHO-S, and ExpiCHO-S cell lines with four transfection reagents.

methodsA design of experiments (DoE) was followed to optimize transfection using a recombinant monoclonal antibody (mAb) construct. To evaluate the efficacy, flow cytometry and ELISA were used. Feeding strategies and temperature shifts were implemented to enhance transfection effectiveness. The quality of the mAb was assessed through ELISA, SDS-PAGE, and proliferation inhibition assays.

resultsWe adapted all cell lines to grow in suspension using a serum-free medium. Our findings from flow cytometry and ELISA tests indicate that PEI and Pmax reagents had a higher rate of transfection and mAb production than the ExpiCHO commercial transfection reagent. While DG-44 cells had better transfection efficiency than CHO-S and ExpiCHO-S, there was no significant difference between CHO-S and ExpiCHO-S. Our TGE system was more productive at 32 °C than at 37 °C. In the optimized TGE of Pmax-based transfection in DG-44 at 37 and 32 °C, the production level of mAb was more than half of the amount of the commercial ExpiCHO-S expression system. Still, the number of transfected cells was three times higher, making it more efficient. The purified mAb from all transfected cell lines had similar structural and functional properties under different conditions.

conclusionOur research shows that using Pmax and DG-44 cells in the TGE system is a cost-effective and efficient way to produce humanized monoclonal antibodies. We discovered that this method outperforms the ExpiCHO-S kit.

Indexed as

Antibodies, MonoclonalAntineoplastic AgentsAnimalsAntibodies, Monoclonal, HumanizedCHO CellsCricetinaeCricetulusGene ExpressionRecombinant ProteinsAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedAntineoplastic AgentshersintuzumabRecombinant ProteinsDG-44 cellsHersintuzumabMonoclonal antibodyPEITransient gene expression

Identifiers

PMID37695454
PMCPMC10624790
OpenAlexW4386593154

What OpenQuestion holds

Textmetadata
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.