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Felch KL, Crider JD, Bhattacharjee D, Huhn C, Wilson M, Bengtén E. TLR7 in channel catfish (Ictalurus punctatus) is expressed in the endolysosome and is stimulated by synthetic ssRNA analogs, imiquimod, and resiquimod. DEVELOPMENTAL AND COMPARATIVE IMMUNOLOGY 2024; 157:105197. [PMID: 38763479 DOI: 10.1016/j.dci.2024.105197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Revised: 05/16/2024] [Accepted: 05/16/2024] [Indexed: 05/21/2024]
Abstract
Toll-like receptors (TLRs) are pivotal pattern recognition receptors (PRRs) and key mediators of innate immunity. Despite the significance of channel catfish (Ictalurus punctatus) in comparative immunology and aquaculture, its 20 TLR genes remain largely functionally uncharacterized. In this study, our aim was to determine the catfish TLR7 agonists, signaling potential, and cellular localization. Using a mammalian reporter system, we identified imiquimod and resiquimod, typical ssRNA analogs, as potent catfish TLR7 agonists. Notably, unlike grass carp TLR7, catfish TLR7 lacks the ability to respond to poly (I:C). Confocal microscopy revealed predominant catfish TLR7 expression in lysosomes, co-localizing with the endosomal chaperone protein, UNC93B1. Furthermore, imiquimod stimulation elicited robust IFNb transcription in peripheral blood leukocytes isolated from adult catfish. These findings underscore the conservation of TLR7 signaling in catfish, reminiscent of mammalian TLR7 responses. Our study sheds light on the functional aspects of catfish TLR7 and contributes to a better understanding of its role in immune defense mechanisms.
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Affiliation(s)
- Kristianna L Felch
- Department of Cell and Molecular Biology, University of Mississippi Medical Center, 2500 North State Street, 39216, Jackson, MS, USA.
| | - Jonathan D Crider
- Department of Cell and Molecular Biology, University of Mississippi Medical Center, 2500 North State Street, 39216, Jackson, MS, USA; Department of Biology, Belmont University, 1900 Belmont Blvd, 37212, Nashville, TN, USA.
| | - Debduti Bhattacharjee
- Department of Cell and Molecular Biology, University of Mississippi Medical Center, 2500 North State Street, 39216, Jackson, MS, USA.
| | - Cameron Huhn
- Department of Cell and Molecular Biology, University of Mississippi Medical Center, 2500 North State Street, 39216, Jackson, MS, USA.
| | - Melanie Wilson
- Department of Cell and Molecular Biology, University of Mississippi Medical Center, 2500 North State Street, 39216, Jackson, MS, USA; Center for Immunology and Microbial Research, University of Mississippi Medical Center, 2500 North State Street, 39216, Jackson, MS, USA.
| | - Eva Bengtén
- Department of Cell and Molecular Biology, University of Mississippi Medical Center, 2500 North State Street, 39216, Jackson, MS, USA; Center for Immunology and Microbial Research, University of Mississippi Medical Center, 2500 North State Street, 39216, Jackson, MS, USA.
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Razali SA, Shamsir MS, Ishak NF, Low CF, Azemin WA. Riding the wave of innovation: immunoinformatics in fish disease control. PeerJ 2023; 11:e16419. [PMID: 38089909 PMCID: PMC10712311 DOI: 10.7717/peerj.16419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 10/17/2023] [Indexed: 12/18/2023] Open
Abstract
The spread of infectious illnesses has been a significant factor restricting aquaculture production. To maximise aquatic animal health, vaccination tactics are very successful and cost-efficient for protecting fish and aquaculture animals against many disease pathogens. However, due to the increasing number of immunological cases and their complexity, it is impossible to manage, analyse, visualise, and interpret such data without the assistance of advanced computational techniques. Hence, the use of immunoinformatics tools is crucial, as they not only facilitate the management of massive amounts of data but also greatly contribute to the creation of fresh hypotheses regarding immune responses. In recent years, advances in biotechnology and immunoinformatics have opened up new research avenues for generating novel vaccines and enhancing existing vaccinations against outbreaks of infectious illnesses, thereby reducing aquaculture losses. This review focuses on understanding in silico epitope-based vaccine design, the creation of multi-epitope vaccines, the molecular interaction of immunogenic vaccines, and the application of immunoinformatics in fish disease based on the frequency of their application and reliable results. It is believed that it can bridge the gap between experimental and computational approaches and reduce the need for experimental research, so that only wet laboratory testing integrated with in silico techniques may yield highly promising results and be useful for the development of vaccines for fish.
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Affiliation(s)
- Siti Aisyah Razali
- Faculty of Science and Marine Environment, Universiti Malaysia Terengganu, Kuala Nerus, Terengganu, Malaysia
- Biological Security and Sustainability Research Interest Group (BIOSES), Universiti Malaysia Terengganu, Kuala Nerus, Terengganu, Malaysia
| | - Mohd Shahir Shamsir
- Department of Biosciences, Faculty of Science, Universiti Teknologi Malaysia, Skudai, Johor, Malaysia
| | - Nur Farahin Ishak
- Faculty of Science and Marine Environment, Universiti Malaysia Terengganu, Kuala Nerus, Terengganu, Malaysia
| | - Chen-Fei Low
- Institute of Systems Biology (INBIOSIS), Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia
| | - Wan-Atirah Azemin
- School of Biological Sciences, Universiti Sains Malaysia, Minden, Pulau Pinang, Malaysia
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Genome-wide investigation and expression analysis of TLR gene family reveals its immune role in Vibrio tolerance challenge of Manila clam. FISH AND SHELLFISH IMMUNOLOGY REPORTS 2022; 3:100072. [DOI: 10.1016/j.fsirep.2022.100072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 11/03/2022] [Accepted: 11/22/2022] [Indexed: 11/25/2022] Open
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