Molecular Cloning and AlphaFold Modeling of Thyrotropin (ag-TSH) From the Amazonian Fish Pirarucu (Arapaima gigas)
Autor(a) principal: | |
---|---|
Data de Publicação: | 2023 |
Outros Autores: | , , , , , , |
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. |
id |
UNSP_28df8088e6223ba486ff8e97aba4fe5e |
---|---|
oai_identifier_str |
oai:repositorio.unesp.br:11449/246836 |
network_acronym_str |
UNSP |
network_name_str |
Repositório Institucional da UNESP |
repository_id_str |
2946 |
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) |
repository.mail.fl_str_mv |
|
_version_ |
1808129510337413120 |