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França RKA, Studart IC, Bezerra MRL, Pontes LQ, Barbosa AMA, Brigido MM, Furtado GP, Maranhão AQ. Progress on Phage Display Technology: Tailoring Antibodies for Cancer Immunotherapy. Viruses 2023; 15:1903. [PMID: 37766309 PMCID: PMC10536222 DOI: 10.3390/v15091903] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 08/31/2023] [Accepted: 09/05/2023] [Indexed: 09/29/2023] Open
Abstract
The search for innovative anti-cancer drugs remains a challenge. Over the past three decades, antibodies have emerged as an essential asset in successful cancer therapy. The major obstacle in developing anti-cancer antibodies is the need for non-immunogenic antibodies against human antigens. This unique requirement highlights a disadvantage to using traditional hybridoma technology and thus demands alternative approaches, such as humanizing murine monoclonal antibodies. To overcome these hurdles, human monoclonal antibodies can be obtained directly from Phage Display libraries, a groundbreaking tool for antibody selection. These libraries consist of genetically engineered viruses, or phages, which can exhibit antibody fragments, such as scFv or Fab on their capsid. This innovation allows the in vitro selection of novel molecules directed towards cancer antigens. As foreseen when Phage Display was first described, nowadays, several Phage Display-derived antibodies have entered clinical settings or are undergoing clinical evaluation. This comprehensive review unveils the remarkable progress in this field and the possibilities of using clever strategies for phage selection and tailoring the refinement of antibodies aimed at increasingly specific targets. Moreover, the use of selected antibodies in cutting-edge formats is discussed, such as CAR (chimeric antigen receptor) in CAR T-cell therapy or ADC (antibody drug conjugate), amplifying the spectrum of potential therapeutic avenues.
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Affiliation(s)
- Renato Kaylan Alves França
- Molecular Immunology Laboratory, Department of Cellular Biology, Institute of Biological Sciences, University of Brasilia, Brasilia 70910-900, Brazil; (R.K.A.F.); (M.M.B.)
- Graduate Program in Molecular Pathology, University of Brasilia, Brasilia 70910-900, Brazil
| | - Igor Cabral Studart
- Oswaldo Cruz Foundation, Fiocruz Ceará, Eusébio 61773-270, Brazil; (I.C.S.); (M.R.L.B.); (L.Q.P.); (A.M.A.B.); (G.P.F.)
- Graduate Program in Biotechnology of Natural Resources, Federal University of Ceará, Fortaleza 60440-970, Brazil
| | - Marcus Rafael Lobo Bezerra
- Oswaldo Cruz Foundation, Fiocruz Ceará, Eusébio 61773-270, Brazil; (I.C.S.); (M.R.L.B.); (L.Q.P.); (A.M.A.B.); (G.P.F.)
- Graduate Program in Biotechnology of Natural Resources, Federal University of Ceará, Fortaleza 60440-970, Brazil
| | - Larissa Queiroz Pontes
- Oswaldo Cruz Foundation, Fiocruz Ceará, Eusébio 61773-270, Brazil; (I.C.S.); (M.R.L.B.); (L.Q.P.); (A.M.A.B.); (G.P.F.)
- Graduate Program in Biotechnology of Natural Resources, Federal University of Ceará, Fortaleza 60440-970, Brazil
| | - Antonio Marcos Aires Barbosa
- Oswaldo Cruz Foundation, Fiocruz Ceará, Eusébio 61773-270, Brazil; (I.C.S.); (M.R.L.B.); (L.Q.P.); (A.M.A.B.); (G.P.F.)
- Graduate Program in Applied Informatics, University of Fortaleza, Fortaleza 60811-905, Brazil
| | - Marcelo Macedo Brigido
- Molecular Immunology Laboratory, Department of Cellular Biology, Institute of Biological Sciences, University of Brasilia, Brasilia 70910-900, Brazil; (R.K.A.F.); (M.M.B.)
| | - Gilvan Pessoa Furtado
- Oswaldo Cruz Foundation, Fiocruz Ceará, Eusébio 61773-270, Brazil; (I.C.S.); (M.R.L.B.); (L.Q.P.); (A.M.A.B.); (G.P.F.)
- Graduate Program in Biotechnology of Natural Resources, Federal University of Ceará, Fortaleza 60440-970, Brazil
| | - Andréa Queiroz Maranhão
- Molecular Immunology Laboratory, Department of Cellular Biology, Institute of Biological Sciences, University of Brasilia, Brasilia 70910-900, Brazil; (R.K.A.F.); (M.M.B.)
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Maranhão AQ, Silva HM, da Silva WMC, França RKA, De Leo TC, Dias-Baruffi M, Burtet RT, Brigido MM. Discovering Selected Antibodies From Deep-Sequenced Phage-Display Antibody Library Using ATTILA. Bioinform Biol Insights 2020; 14:1177932220915240. [PMID: 32425512 PMCID: PMC7218273 DOI: 10.1177/1177932220915240] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Accepted: 03/03/2020] [Indexed: 11/20/2022] Open
Abstract
Phage display is a powerful technique to select high-affinity antibodies for different purposes, including biopharmaceuticals. Next-generation sequencing (NGS) presented itself as a robust solution, making it possible to assess billions of sequences of the variable domains from selected sublibraries. Handling this process, a central difficulty is to find the selected clones. Here, we present the AutomaTed Tool For Immunoglobulin Analysis (ATTILA), a new tool to analyze and find the enriched variable domains throughout a biopanning experiment. The ATTILA is a workflow that combines publicly available tools and in-house programs and scripts to find the fold-change frequency of deeply sequenced amplicons generated from selected VH and VL domains. We analyzed the same human Fab library NGS data using ATTILA in 5 different experiments, as well as on 2 biopanning experiments regarding performance, accuracy, and output. These analyses proved to be suitable to assess library variability and to list the more enriched variable domains, as ATTILA provides a report with the amino acid sequence of each identified domain, along with its complementarity-determining regions (CDRs), germline classification, and fold change. Finally, the methods employed here demonstrated a suitable manner to combine amplicon generation and NGS data analysis to discover new monoclonal antibodies (mAbs).
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Affiliation(s)
- Andréa Queiroz Maranhão
- Department of Cellular Biology, Institute of Biological Science, University of Brasília, Brasília, Brazil.,Instituto de Investigação em Imunologia, Instituto Nacional de Ciência e Tecnologia (iii-INCT), São Paulo, Brazil
| | - Heidi Muniz Silva
- Department of Cellular Biology, Institute of Biological Science, University of Brasília, Brasília, Brazil
| | - Waldeyr Mendes Cordeiro da Silva
- Department of Cellular Biology, Institute of Biological Science, University of Brasília, Brasília, Brazil.,NEPBio, Federal Institute of Goiás, Formosa, Brazil
| | - Renato Kaylan Alves França
- Department of Cellular Biology, Institute of Biological Science, University of Brasília, Brasília, Brazil
| | - Thais Canassa De Leo
- School of Pharmaceutical Sciences of Ribeirão Preto, USP, Ribeirão Preto, Brazil
| | - Marcelo Dias-Baruffi
- School of Pharmaceutical Sciences of Ribeirão Preto, USP, Ribeirão Preto, Brazil
| | - Rafael Trindade Burtet
- Department of Cellular Biology, Institute of Biological Science, University of Brasília, Brasília, Brazil
| | - Marcelo Macedo Brigido
- Department of Cellular Biology, Institute of Biological Science, University of Brasília, Brasília, Brazil.,Instituto de Investigação em Imunologia, Instituto Nacional de Ciência e Tecnologia (iii-INCT), São Paulo, Brazil
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