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Production of Monoclonal Antibodies in Plants for Cancer Immunotherapy
Moussavou, Ghislain,Ko, Kisung,Lee, Jeong-Hwan,Choo, Young-Kug Hindawi Publishing Corporation 2015 BioMed research international Vol.2015 No.-
<P>Plants are considered as an alternative platform for recombinant monoclonal antibody (mAb) production due to the improvement and diversification of transgenic techniques. The diversity of plant species offers a multitude of possibilities for the valorization of genetic resources. Moreover, plants can be propagated indefinitely, providing cheap biomass production on a large scale in controlled conditions. Thus, recent studies have shown the successful development of plant systems for the production of mAbs for cancer immunotherapy. However, their several limitations have to be resolved for efficient antibody production in plants.</P>
Ghislain Moussavou,이정환,LuQIAO,노유훈,신용규,이태진,이승호,고기성 한국곤충학회 2018 Entomological Research Vol.48 No.1
The baculovirus expression system has been considered as a highly efficient tool for the production of recombinant biopharmaceutical proteins. The recombinant antigenic glycoprotein GA733 is a cell surface protein that is strongly expressed in human colorectal cancer. Efficient virus titration should be established to achieve optimal multiplicity of infection (MOI) conditions, which are in turn essential for strong expression of the recombinant GA733 fused to the human immunoglobulin IgG Fc fragment (GA733‐Fc) in the baculovirus‐insect system. In the present study, the Sf9 cell line was transfected with plasmid DNA containing the GA733‐Fc expression cassette under the control of the baculovirus polyhedron promoter. MOI values (0.05, 0.1, 0.5, 1, and 3) were calculated based on both microscope observations and results of titration assay and then used to determine the optimum recombinant expression and harvested sample [cell culture media (CM) or cell lysate (CL)]. The pFastBac dual vector carrying the GA733‐Fc gene was constructed to express GA733‐Fc and used to generate recombinant baculoviruses. Western blotting results showed that recombinant protein expression was dependent on the MOI. In addition, CM and CL showed significant differences in protein synthesis and protein secretion capacities. Our findings suggested that our proposed titration method can be used for reliable calculation of MOI values, which significantly influence recombinant GA733‐Fc protein expression in the baculovirus‐insect cell system.
( Ghislain Moussavou ),( Dong Hoon Kwak ),( Malg Um Lim ),( Ji Su Kim ),( Sun Uk Kim ),( Kyu Tae Chang ),( Young Kug Choo ) 생화학분자생물학회(구 한국생화학분자생물학회) 2013 BMB Reports Vol.46 No.11
Gangliosides are complex glycosphingolipids that are the major component of cytoplasmic cell membranes, and play a role in the control of biological processes. Human mesenchymal stem cells (hMSCs) have received considerable attention as alternative sources of adult stem cells because of their potential to differentiate into multiple cell lineages. In this study, we focus on various functional roles of gangliosides in the differentiation of hMSCs into osteoblasts or neuronal cells. A relationship between gangliosides and epidermal growth factor receptor (EGFR) activation during osteoblastic differentiation of hMSCs was observed, and the gangliosides may play a major role in the regulation of the differentiation. The roles of gangliosides in osteoblast differentiation are dependent on the origin of hMSCs. The reduction of ganglioside biosynthesis inhibited the neuronal differentiation of hMSCs during an early stage of the differentiation process, and the ganglioside expression can be used as a marker for the identification of neuronal differentiation from hMSCs. [BMB Reports 2013; 46(11): 527-532]
Anti-cancer Effects of Multiple Monoclonal Antibodies (mAbPC×B) using Solanaceae
Ghislain Moussavou,Sung-Youn Heo,Malg-Um Lim,Mi-Ran Hwang,Kyung-A Hwang,Kisung Ko,Young-Kug Choo 한국당과학회 2013 한국당과학회 학술대회 Vol.2013 No.1
The human colorectal carcinoma-associated GA733 antigen epithelial cell adhesion molecule (EpCAM) was initially described as a cell surface protein selectively expressed in some myeloid cancers. The glycoprotein was originally defined by anti-GA733, anti-CO17-1A, and anti-EpCAM mAbs, which bind to different epitopes on this antigen. We demonstrated that treatment with plant-derived multiple antibodies (mAbPC×B; anti-colorectal cancer mAb, mAbp CO17-1A and anti-breast cancer mAb, BR 55 mAb) with RAW264.7 cells significantly inhibited cell growth in SW 620 and MCF 7 cells. Expression of p53 and p21 increased, whereas the expression of G1 phase-related proteins, cyclin D1, CDK4, cyclin E and CDK, decreased. In addition, plant-derived multiple antibodies with RAW264.7 cells treatment decreased the expression of anti-apoptotic proteins such as Bcl-2, but the expression of pro-apoptotic proteins Bax, TNF-a, caspase-8, caspase-9, caspase and caspase-6 increased. We observed that plant-derived multiple antibodies significantly inhibited the growth of colon tumors, as determined by a decrease in tumor volume and weight. These results suggest that plant-derived multiple monoclonal antibodies could have an anti-cancer effect for colorectal and breast cancer. Further clinical investigation should be conducted on plant-derived multiple monoclonal antibodies to determine its possible chemopreventive and/or therapeutic efficacy for the treatment of human colon and breast cancer.
머신러닝 기법을 이용한 한국어 보이스피싱 텍스트 분류 성능 분석
무사부부수구밀란두키스 ( Milandu Keith Moussavou Boussougou ),진상윤 ( Sangyoon Jin ),장대호 ( Daeho Chang ),박동주 ( Dong-joo Park ) 한국정보처리학회 2021 한국정보처리학회 학술대회논문집 Vol.28 No.2
Text classification is one of the popular tasks in Natural Language Processing (NLP) used to classify text or document applications such as sentiment analysis and email filtering. Nowadays, state-of-the-art (SOTA) Machine Learning (ML) and Deep Learning (DL) algorithms are the core engine used to perform these classification tasks with high accuracy, and they show satisfying results. This paper conducts a benchmarking performance’s analysis of multiple SOTA algorithms on the first known labeled Korean voice phishing dataset called KorCCVi. Experimental results reveal performed on a test set of 366 samples reveal which algorithm performs the best considering the training time and metrics such as accuracy and F1 score.