CD171 Multi-epitope peptide design based on immuno-informatics approach as a cancer vaccine candidate for glioblastoma

被引:4
|
作者
Moghri, Seyed Amir Hossein Mohammadzadeh Hosseini [1 ]
Chalbatani, Ghanbar Mahmoodi [2 ]
Ranjbar, Mojtaba [1 ]
Raposo, Catarina [3 ]
Abbasian, Arefeh [4 ]
机构
[1] Amol Univ Special Modern Technol, Fac Biotechnol, Dept Microbial Biotechnol, Amol, Iran
[2] Univ Tehran Med Sci, Sch Med, Dept Med Immunol, Tehran, Iran
[3] Univ Estadual Campinas UNICAMP, Fac Ciencias Farmaceut, Campinas, Brazil
[4] Semnan Univ, Fac Basic Sci, Dept Biol, Semnan, Iran
来源
关键词
CD171; multi-epitope peptide design; glioblastoma; CELL-ADHESION MOLECULE; HELICOBACTER-PYLORI; CODON USAGE; L1; EXPRESSION; WEB; RECOGNITION; EFFICACY; SUBUNIT; PREDICTION;
D O I
10.1080/07391102.2021.2020166
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Glioblastoma (GB) is a common primary malignancy of the central nervous system, and one of the highly lethal brain tumors. GB cells can promote therapeutic resistance and tumor angiogenesis. The CD171 is an adhesion molecule in neuronal cells that is expressed in glioma cells as a regulator of brain development during the embryonic period. CD171 is one of the immunoglobulin-like CAMs (cell adhesion molecules) families that can be associated with prognosis in a variety of human tumors. The multi-epitope peptide vaccines are based on synthetic peptides with a combination of both B-cell epitopes and T-cell epitopes, which can induce specific humoral or cellular immune responses. Moreover, Cholera toxin subunit B (CTB), a novel TLR agonist was utilized in the final construct to polarize CD4+ T cells toward T-helper 1 to induce strong cytotoxic T lymphocytes (CTL) responses. In the present study, several immune-informatics tools were used for analyzing the CD171 sequence and studying the important characteristics of a designed vaccine. The results included molecular docking, molecular dynamics simulation, immune response simulation, prediction and validation of the secondary and tertiary structure, physicochemical properties, solubility, conservancy, toxicity as well as antigenicity and allergenicity of the promising candidate for a vaccine against CD171. The immuno-informatic analyze suggested 12 predicted multi-epitope peptides, whose construction consists of 582 residues long. Therewith, cloning adaptation of the designed vaccine was performed, and eventually sequence was inserted into pET30a (+) vector for the application of the anti-glioblastoma vaccine development. Communicated by Ramaswamy H. Sarma
引用
收藏
页码:1028 / 1040
页数:13
相关论文
共 50 条
  • [21] Designing Multi-Epitope Vaccines to Combat Emerging Coronavirus Disease 2019 (COVID-19) by Employing Immuno-Informatics Approach
    Naz, Anam
    Shahid, Fatima
    Butt, Tariq Tahir
    Awan, Faryal Mehwish
    Ali, Amjad
    Malik, Arif
    FRONTIERS IN IMMUNOLOGY, 2020, 11
  • [22] Immuno-informatics approach for B-cell and T-cell epitope based peptide vaccine design against novel COVID-19 virus
    Singh, Jitender
    Malik, Deepti
    Raina, Ashvinder
    VACCINE, 2021, 39 (07) : 1087 - 1095
  • [23] In Silico Design of a New Multi-Epitope Peptide-Based Vaccine Candidate Against Q Fever
    Jabarzadeh, S.
    Samiminemati, A.
    Zeinoddini, M.
    MOLECULAR BIOLOGY, 2021, 55 (06) : 950 - 960
  • [24] In silico design of a multi-epitope peptide construct as a potential vaccine candidate for Influenza A based on neuraminidase protein
    Mandana Behbahani
    Mohammad Moradi
    Hassan Mohabatkar
    In Silico Pharmacology, 9 (1)
  • [25] In Silico Design of a New Multi-Epitope Peptide-Based Vaccine Candidate Against Q Fever
    S. Jabarzadeh
    A. Samiminemati
    M. Zeinoddini
    Molecular Biology, 2021, 55 : 950 - 960
  • [26] Peptide vaccine against chikungunya virus: immuno-informatics combined with molecular docking approach
    Muhammad Tahir ul Qamar
    Amna Bari
    Muhammad Muzammal Adeel
    Arooma Maryam
    Usman Ali Ashfaq
    Xiaoyong Du
    Iqra Muneer
    Hafiz Ishfaq Ahmad
    Jia Wang
    Journal of Translational Medicine, 16
  • [27] Peptide vaccine against chikungunya virus: immuno-informatics combined with molecular docking approach
    ul Qamar, Muhammad Tahir
    Bari, Amna
    Adeel, Muhammad Muzammal
    Maryam, Arooma
    Ashfaq, Usman Ali
    Du, Xiaoyong
    Muneer, Iqra
    Ahmad, Hafiz Ishfaq
    Wang, Jia
    JOURNAL OF TRANSLATIONAL MEDICINE, 2018, 16
  • [28] Design of a multi-epitope vaccine candidate against Brucella melitensis
    Min Li
    Yuejie Zhu
    Ce Niu
    Xinru Xie
    Gulishati Haimiti
    Wenhong Guo
    Mingkai Yu
    Zhiqiang Chen
    Jianbing Ding
    Fengbo Zhang
    Scientific Reports, 12
  • [29] Design of a multi-epitope vaccine candidate against Vibrio cholerae
    Koupaei, Fatemeh Nouri
    Kiumarsy, Armity
    Feizi, Mohammad Mahdi
    Vajdi, Zohreh
    Pishkar, Seyed Edalat
    Alem, Mahsa
    Basmenj, Esmaeil Roohparvar
    SCIENTIFIC REPORTS, 2025, 15 (01):
  • [30] Design of a multi-epitope vaccine candidate against Brucella melitensis
    Li, Min
    Zhu, Yuejie
    Niu, Ce
    Xie, Xinru
    Haimiti, Gulishati
    Guo, Wenhong
    Yu, Mingkai
    Chen, Zhiqiang
    Ding, Jianbing
    Zhang, Fengbo
    SCIENTIFIC REPORTS, 2022, 12 (01)