Molecular Cloning and AlphaFold Modeling of Thyrotropin (ag-TSH) From the Amazonian Fish Pirarucu (Arapaima gigas)

Detalhes bibliográficos
Autor(a) principal: Freire, Renan Passos
Data de Publicação: 2023
Outros Autores: Hernandez-Gonzalez, Jorge Enrique [UNESP], Lima, Eliana Rosa, Suzuki, Miriam Fussae, Oliveira, João Ezequiel de, Torai, Lucas Simon, Bartolini, Paolo, Soares, Carlos Roberto Jorge
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1177/11779322231154148
http://hdl.handle.net/11449/246836
Resumo: Arapaima gigas, known as Pirarucu in Brazil, is one of the largest freshwater fish in the world. Some individuals could reach 3 m in length and weight up to 200 kg. Due to extinction risks and its economic value, the species has been a focus for preservation and reproduction studies. Thyrotropin (TSH) is a glycoprotein hormone formed by 2 subunits α and β whose main activity is related to the synthesis of thyroid hormones (THs)—T3 and T4. In this work, we present a combination of bioinformatics tools to identify Arapaima gigas βTSH (ag-βTSH), modeling its molecular structure and express the recombinant heterodimer form in mammalian cells. Using the combination of computational biology, based on genome-related information, in silico molecular cloning and modeling led to confirm results of the ag-βTSH sequence by reverse transcriptase-polymerase chain reaction (RT-PCR) and transient expression in human embryonic kidney (HEK293F) cells. Molecular cloning of ag-βTSH retrieved 146 amino acids with a signal peptide of 21 amino acid residues and 6 disulfide bonds. The sequence has a similarity to 39 fish species, ranging between 43.1% and 81.6%, whose domains are extremely conserved, such as cystine knot motif and N-glycosylation site. The Arapaima gigas thyrotropin (ag-TSH) model, solved by AlphaFold, was used in molecular dynamics simulations with Scleropages formosus receptor, providing similar values of free energy ΔGbind and ΔGPMF in comparison with Homo sapiens model. The recombinant expression in HEK293F cells reached a yield of 25 mg/L, characterized via chromatographic and physical-chemical techniques. This work shows that other Arapaima gigas proteins could be studied in a similar way, using the combination of these techniques, recovering more information from its genome and improving the reproduction and preservation of this prehistoric fish.
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spelling Molecular Cloning and AlphaFold Modeling of Thyrotropin (ag-TSH) From the Amazonian Fish Pirarucu (Arapaima gigas)AlphaFoldArapaima gigasin silico predictionthyrotropinArapaima gigas, known as Pirarucu in Brazil, is one of the largest freshwater fish in the world. Some individuals could reach 3 m in length and weight up to 200 kg. Due to extinction risks and its economic value, the species has been a focus for preservation and reproduction studies. Thyrotropin (TSH) is a glycoprotein hormone formed by 2 subunits α and β whose main activity is related to the synthesis of thyroid hormones (THs)—T3 and T4. In this work, we present a combination of bioinformatics tools to identify Arapaima gigas βTSH (ag-βTSH), modeling its molecular structure and express the recombinant heterodimer form in mammalian cells. Using the combination of computational biology, based on genome-related information, in silico molecular cloning and modeling led to confirm results of the ag-βTSH sequence by reverse transcriptase-polymerase chain reaction (RT-PCR) and transient expression in human embryonic kidney (HEK293F) cells. Molecular cloning of ag-βTSH retrieved 146 amino acids with a signal peptide of 21 amino acid residues and 6 disulfide bonds. The sequence has a similarity to 39 fish species, ranging between 43.1% and 81.6%, whose domains are extremely conserved, such as cystine knot motif and N-glycosylation site. The Arapaima gigas thyrotropin (ag-TSH) model, solved by AlphaFold, was used in molecular dynamics simulations with Scleropages formosus receptor, providing similar values of free energy ΔGbind and ΔGPMF in comparison with Homo sapiens model. The recombinant expression in HEK293F cells reached a yield of 25 mg/L, characterized via chromatographic and physical-chemical techniques. This work shows that other Arapaima gigas proteins could be studied in a similar way, using the combination of these techniques, recovering more information from its genome and improving the reproduction and preservation of this prehistoric fish.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Instituto de Pesquisas Energéticas e Nucleares (IPEN-CNEN)Instituto de Biociências Letras e Ciências Exatas (IBILCE) Universidade Estadual Paulista “Júlio de Mesquita Filho” (UNESP)Embrapa Pesca e AquiculturaInstituto de Biociências Letras e Ciências Exatas (IBILCE) Universidade Estadual Paulista “Júlio de Mesquita Filho” (UNESP)FAPESP: 2020/10435-8FAPESP: 2020/16549-5CNPq: 305839/2021-7CAPES: 88887.506371/2020-00Instituto de Pesquisas Energéticas e Nucleares (IPEN-CNEN)Universidade Estadual Paulista (UNESP)Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)Freire, Renan PassosHernandez-Gonzalez, Jorge Enrique [UNESP]Lima, Eliana RosaSuzuki, Miriam FussaeOliveira, João Ezequiel deTorai, Lucas SimonBartolini, PaoloSoares, Carlos Roberto Jorge2023-07-29T12:51:49Z2023-07-29T12:51:49Z2023-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1177/11779322231154148Bioinformatics and Biology Insights, v. 17.1177-9322http://hdl.handle.net/11449/24683610.1177/117793222311541482-s2.0-85148101736Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengBioinformatics and Biology Insightsinfo:eu-repo/semantics/openAccess2023-07-29T12:51:49Zoai:repositorio.unesp.br:11449/246836Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T23:21:47.759805Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Molecular Cloning and AlphaFold Modeling of Thyrotropin (ag-TSH) From the Amazonian Fish Pirarucu (Arapaima gigas)
title Molecular Cloning and AlphaFold Modeling of Thyrotropin (ag-TSH) From the Amazonian Fish Pirarucu (Arapaima gigas)
spellingShingle Molecular Cloning and AlphaFold Modeling of Thyrotropin (ag-TSH) From the Amazonian Fish Pirarucu (Arapaima gigas)
Freire, Renan Passos
AlphaFold
Arapaima gigas
in silico prediction
thyrotropin
title_short Molecular Cloning and AlphaFold Modeling of Thyrotropin (ag-TSH) From the Amazonian Fish Pirarucu (Arapaima gigas)
title_full Molecular Cloning and AlphaFold Modeling of Thyrotropin (ag-TSH) From the Amazonian Fish Pirarucu (Arapaima gigas)
title_fullStr Molecular Cloning and AlphaFold Modeling of Thyrotropin (ag-TSH) From the Amazonian Fish Pirarucu (Arapaima gigas)
title_full_unstemmed Molecular Cloning and AlphaFold Modeling of Thyrotropin (ag-TSH) From the Amazonian Fish Pirarucu (Arapaima gigas)
title_sort Molecular Cloning and AlphaFold Modeling of Thyrotropin (ag-TSH) From the Amazonian Fish Pirarucu (Arapaima gigas)
author Freire, Renan Passos
author_facet Freire, Renan Passos
Hernandez-Gonzalez, Jorge Enrique [UNESP]
Lima, Eliana Rosa
Suzuki, Miriam Fussae
Oliveira, João Ezequiel de
Torai, Lucas Simon
Bartolini, Paolo
Soares, Carlos Roberto Jorge
author_role author
author2 Hernandez-Gonzalez, Jorge Enrique [UNESP]
Lima, Eliana Rosa
Suzuki, Miriam Fussae
Oliveira, João Ezequiel de
Torai, Lucas Simon
Bartolini, Paolo
Soares, Carlos Roberto Jorge
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Instituto de Pesquisas Energéticas e Nucleares (IPEN-CNEN)
Universidade Estadual Paulista (UNESP)
Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)
dc.contributor.author.fl_str_mv Freire, Renan Passos
Hernandez-Gonzalez, Jorge Enrique [UNESP]
Lima, Eliana Rosa
Suzuki, Miriam Fussae
Oliveira, João Ezequiel de
Torai, Lucas Simon
Bartolini, Paolo
Soares, Carlos Roberto Jorge
dc.subject.por.fl_str_mv AlphaFold
Arapaima gigas
in silico prediction
thyrotropin
topic AlphaFold
Arapaima gigas
in silico prediction
thyrotropin
description Arapaima gigas, known as Pirarucu in Brazil, is one of the largest freshwater fish in the world. Some individuals could reach 3 m in length and weight up to 200 kg. Due to extinction risks and its economic value, the species has been a focus for preservation and reproduction studies. Thyrotropin (TSH) is a glycoprotein hormone formed by 2 subunits α and β whose main activity is related to the synthesis of thyroid hormones (THs)—T3 and T4. In this work, we present a combination of bioinformatics tools to identify Arapaima gigas βTSH (ag-βTSH), modeling its molecular structure and express the recombinant heterodimer form in mammalian cells. Using the combination of computational biology, based on genome-related information, in silico molecular cloning and modeling led to confirm results of the ag-βTSH sequence by reverse transcriptase-polymerase chain reaction (RT-PCR) and transient expression in human embryonic kidney (HEK293F) cells. Molecular cloning of ag-βTSH retrieved 146 amino acids with a signal peptide of 21 amino acid residues and 6 disulfide bonds. The sequence has a similarity to 39 fish species, ranging between 43.1% and 81.6%, whose domains are extremely conserved, such as cystine knot motif and N-glycosylation site. The Arapaima gigas thyrotropin (ag-TSH) model, solved by AlphaFold, was used in molecular dynamics simulations with Scleropages formosus receptor, providing similar values of free energy ΔGbind and ΔGPMF in comparison with Homo sapiens model. The recombinant expression in HEK293F cells reached a yield of 25 mg/L, characterized via chromatographic and physical-chemical techniques. This work shows that other Arapaima gigas proteins could be studied in a similar way, using the combination of these techniques, recovering more information from its genome and improving the reproduction and preservation of this prehistoric fish.
publishDate 2023
dc.date.none.fl_str_mv 2023-07-29T12:51:49Z
2023-07-29T12:51:49Z
2023-01-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1177/11779322231154148
Bioinformatics and Biology Insights, v. 17.
1177-9322
http://hdl.handle.net/11449/246836
10.1177/11779322231154148
2-s2.0-85148101736
url http://dx.doi.org/10.1177/11779322231154148
http://hdl.handle.net/11449/246836
identifier_str_mv Bioinformatics and Biology Insights, v. 17.
1177-9322
10.1177/11779322231154148
2-s2.0-85148101736
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Bioinformatics and Biology Insights
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
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