Protein–Protein Interaction (PPI) Network of Zebrafish Oestrogen Receptors: A Bioinformatics Workflow

Protein–protein interaction (PPI) is involved in every biological process that occurs within an organism. The understanding of PPI is essential for deciphering the cellular behaviours in a particular organism. The experimental data from PPI methods have been used in constructing the PPI network. PPI...

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Vydané v:Life (Basel, Switzerland) Ročník 12; číslo 5; s. 650
Hlavní autori: Zainal-Abidin, Rabiatul-Adawiah, Afiqah-Aleng, Nor, Abdullah-Zawawi, Muhammad-Redha, Harun, Sarahani, Mohamed-Hussein, Zeti-Azura
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Switzerland MDPI AG 27.04.2022
MDPI
Predmet:
Aquaculture
Bioinformatics
Biological activity
Computer programs
Crop improvement
Disease
Genes
Genomics
Hormones
Medical research
network
network analysis
oestrogen receptor
Pathogenesis
Physiology
Plant physiology
Proteins
protein–protein interaction
Receptors
Review
Signal transduction
Workflow
Zebrafish
protein–protein interaction
network analysis
oestrogen receptor
zebrafish
bioinformatics
network
ISSN:2075-1729, 2075-1729
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Abstract Protein–protein interaction (PPI) is involved in every biological process that occurs within an organism. The understanding of PPI is essential for deciphering the cellular behaviours in a particular organism. The experimental data from PPI methods have been used in constructing the PPI network. PPI network has been widely applied in biomedical research to understand the pathobiology of human diseases. It has also been used to understand the plant physiology that relates to crop improvement. However, the application of the PPI network in aquaculture is limited as compared to humans and plants. This review aims to demonstrate the workflow and step-by-step instructions for constructing a PPI network using bioinformatics tools and PPI databases that can help to predict potential interaction between proteins. We used zebrafish proteins, the oestrogen receptors (ERs) to build and analyse the PPI network. Thus, serving as a guide for future steps in exploring potential mechanisms on the organismal physiology of interest that ultimately benefit aquaculture research.
AbstractList Protein–protein interaction (PPI) is involved in every biological process that occurs within an organism. The understanding of PPI is essential for deciphering the cellular behaviours in a particular organism. The experimental data from PPI methods have been used in constructing the PPI network. PPI network has been widely applied in biomedical research to understand the pathobiology of human diseases. It has also been used to understand the plant physiology that relates to crop improvement. However, the application of the PPI network in aquaculture is limited as compared to humans and plants. This review aims to demonstrate the workflow and step-by-step instructions for constructing a PPI network using bioinformatics tools and PPI databases that can help to predict potential interaction between proteins. We used zebrafish proteins, the oestrogen receptors (ERs) to build and analyse the PPI network. Thus, serving as a guide for future steps in exploring potential mechanisms on the organismal physiology of interest that ultimately benefit aquaculture research.
Protein-protein interaction (PPI) is involved in every biological process that occurs within an organism. The understanding of PPI is essential for deciphering the cellular behaviours in a particular organism. The experimental data from PPI methods have been used in constructing the PPI network. PPI network has been widely applied in biomedical research to understand the pathobiology of human diseases. It has also been used to understand the plant physiology that relates to crop improvement. However, the application of the PPI network in aquaculture is limited as compared to humans and plants. This review aims to demonstrate the workflow and step-by-step instructions for constructing a PPI network using bioinformatics tools and PPI databases that can help to predict potential interaction between proteins. We used zebrafish proteins, the oestrogen receptors (ERs) to build and analyse the PPI network. Thus, serving as a guide for future steps in exploring potential mechanisms on the organismal physiology of interest that ultimately benefit aquaculture research.Protein-protein interaction (PPI) is involved in every biological process that occurs within an organism. The understanding of PPI is essential for deciphering the cellular behaviours in a particular organism. The experimental data from PPI methods have been used in constructing the PPI network. PPI network has been widely applied in biomedical research to understand the pathobiology of human diseases. It has also been used to understand the plant physiology that relates to crop improvement. However, the application of the PPI network in aquaculture is limited as compared to humans and plants. This review aims to demonstrate the workflow and step-by-step instructions for constructing a PPI network using bioinformatics tools and PPI databases that can help to predict potential interaction between proteins. We used zebrafish proteins, the oestrogen receptors (ERs) to build and analyse the PPI network. Thus, serving as a guide for future steps in exploring potential mechanisms on the organismal physiology of interest that ultimately benefit aquaculture research.
Author Zainal-Abidin, Rabiatul-Adawiah
Afiqah-Aleng, Nor
Mohamed-Hussein, Zeti-Azura
Abdullah-Zawawi, Muhammad-Redha
Harun, Sarahani
AuthorAffiliation 4 Centre for Bioinformatics Research, Institute of Systems Biology (INBIOSIS), Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia; sarahani@ukm.edu.my
2 Institute of Marine Biotechnology, Universiti Malaysia Terengganu, Kuala Nerus 21030, Malaysia
5 Department of Applied Physics, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia
1 Malaysian Agricultural Research & Development Institute (MARDI), Serdang 43400, Malaysia; rabiatul@mardi.gov.my
3 UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Kuala Lumpur 56000, Malaysia; mraz@ukm.edu.my
AuthorAffiliation_xml – name: 2 Institute of Marine Biotechnology, Universiti Malaysia Terengganu, Kuala Nerus 21030, Malaysia
– name: 5 Department of Applied Physics, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia
– name: 1 Malaysian Agricultural Research & Development Institute (MARDI), Serdang 43400, Malaysia; rabiatul@mardi.gov.my
– name: 4 Centre for Bioinformatics Research, Institute of Systems Biology (INBIOSIS), Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia; sarahani@ukm.edu.my
– name: 3 UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Kuala Lumpur 56000, Malaysia; mraz@ukm.edu.my
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  surname: Zainal-Abidin
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/35629318$$D View this record in MEDLINE/PubMed
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Cites_doi 10.1038/s41598-019-41552-z
10.1093/bioinformatics/btp101
10.1046/j.1432-1033.2003.03428.x
10.3389/fpls.2019.00656
10.1371/journal.pone.0260584
10.1155/2017/4323496
10.1609/icwsm.v3i1.13937
10.1093/bib/bbw114
10.1186/1471-2105-15-129
10.1159/000347104
10.1186/1756-0500-4-384
10.1038/s41598-020-77847-9
10.1111/pce.13433
10.1186/s12870-014-0213-7
10.1186/1471-2105-4-2
10.1093/nar/gky311
10.1016/j.jsbmb.2019.01.013
10.1038/s41598-022-08574-6
10.3389/fgene.2021.609766
10.3390/pathogens9080609
10.1093/nar/gkw1092
10.1007/s12094-012-0755-9
10.1093/bioinformatics/bti551
10.1186/s40659-020-00290-7
10.1016/j.rbmo.2019.11.012
10.1186/1471-2105-13-45
10.3389/fmicb.2019.02192
10.3389/fpls.2018.00694
10.1093/af/vfz020
10.1155/2014/147648
10.1371/journal.pcbi.1000807
10.1186/s12866-020-01763-1
10.1074/mcp.M113.029199
10.1002/cpbi.93
10.1186/s12864-016-2795-y
10.1038/340245a0
10.1109/TCBB.2014.2361348
10.1186/s12864-019-6437-z
10.1038/msb.2011.99
10.2174/138920210790218016
10.1093/nar/gkq1116
10.1371/journal.pone.0079020
10.17576/jsm-2018-4712-01
10.1093/bioinformatics/btu853
10.3389/fgene.2019.01120
10.1038/s41598-018-20922-z
10.1093/nar/gkr1088
10.1038/s41598-019-45072-8
10.12688/f1000research.4524.1
10.7717/peerj.11876
10.1210/me.2004-0259
10.1016/j.aqrep.2020.100295
10.1002/jcp.28932
10.1111/are.13912
10.1007/s10265-021-01257-9
10.1038/nature12111
10.1038/s41586-020-2188-x
10.1530/JME-17-0031
10.1093/nar/gkaa1074
10.1093/nar/gkh086
10.1007/s00726-015-2049-3
10.1089/cmb.2019.0157
10.1021/acs.analchem.9b02372
10.1038/cddis.2017.82
10.1186/s12866-021-02261-8
10.1186/s12915-017-0446-7
10.3389/fpls.2021.629013
10.1038/35001165
10.1210/en.2017-00215
10.3389/fendo.2018.00567
10.1038/nmeth.1931
10.3389/fcell.2018.00135
10.3389/fgene.2014.00313
10.1210/en.2018-00685
10.1093/nar/gkab1034
10.12688/f1000research.4254.2
10.1093/bioinformatics/btm554
10.1101/gr.1239303
10.1111/raq.12468
10.1038/549293a
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Keywords protein–protein interaction
network analysis
oestrogen receptor
zebrafish
bioinformatics
network
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References Kamal (ref_65) 2019; 10
Manzoni (ref_1) 2018; 19
Jafari (ref_64) 2019; 20
Assenov (ref_55) 2008; 24
Liu (ref_77) 2017; 8
Teame (ref_29) 2019; 9
MacNamara (ref_75) 2020; 10
Chen (ref_83) 2019; 9
ref_14
ref_58
ref_57
Kerrien (ref_41) 2012; 40
ref_56
Kotlyar (ref_45) 2022; 50
Kanehisa (ref_73) 2017; 45
Bauer (ref_8) 2003; 270
Szklarczyk (ref_43) 2021; 49
ref_18
Abdollahpour (ref_30) 2020; 17
Kutmon (ref_54) 2014; 3
Sangsuriya (ref_26) 2014; 13
ref_59
Rao (ref_7) 2014; 2014
Oliver (ref_24) 2000; 403
Ding (ref_6) 2019; 9
Hou (ref_76) 2004; 18
Vigani (ref_81) 2021; 12
Franz (ref_40) 2018; 46
Khojasteh (ref_84) 2022; 12
Fields (ref_11) 1989; 340
Berenguer (ref_60) 2012; 14
ref_25
ref_69
Zhang (ref_23) 2010; 11
Howe (ref_34) 2013; 496
ref_67
Luck (ref_3) 2020; 580
ref_20
Kuo (ref_35) 2013; 5
Shannon (ref_46) 2003; 13
Stark (ref_38) 2011; 39
Kanaya (ref_17) 2020; 40
Lu (ref_63) 2017; 158
ref_27
Waiho (ref_5) 2021; 13
Tan (ref_19) 2017; 2017
Wang (ref_48) 2015; 12
Jia (ref_66) 2020; 53
Salwinski (ref_39) 2004; 32
Schaaf (ref_37) 2017; 59
Harun (ref_21) 2021; 9
ref_71
Orchard (ref_44) 2012; 9
Maere (ref_50) 2005; 21
Zhang (ref_78) 2017; 18
Ramos (ref_13) 2019; 10
Adams (ref_28) 2018; 6
ref_33
Ideker (ref_2) 2012; 8
Zhang (ref_10) 2019; 10
Wu (ref_52) 2014; 3
Nishida (ref_53) 2014; 3
Harun (ref_74) 2021; 134
Bindea (ref_49) 2009; 25
Liu (ref_16) 2019; 234
Steinfeld (ref_51) 2015; 31
ref_82
Green (ref_61) 2018; 8
Calderone (ref_42) 2020; 69
Chen (ref_70) 2019; 189
Swamy (ref_12) 2021; 12
ref_47
Struk (ref_22) 2019; 42
Iacobucci (ref_68) 2019; 91
Piovesan (ref_80) 2015; 47
Vandereyken (ref_79) 2018; 9
Li (ref_36) 2020; 27
Delomas (ref_31) 2019; 50
Chen (ref_72) 2018; 9
ref_9
Crowder (ref_62) 2018; 159
Ulloa (ref_32) 2014; 5
Fessenden (ref_4) 2017; 549
Harun (ref_15) 2018; 47
References_xml – volume: 9
  start-page: 4980
  year: 2019
  ident: ref_83
  article-title: Construction and analysis of protein-protein interaction network of heroin use disorder
  publication-title: Sci. Rep.
  doi: 10.1038/s41598-019-41552-z
– volume: 25
  start-page: 1091
  year: 2009
  ident: ref_49
  article-title: ClueGO: A Cytoscape plug-in to decipher functionally grouped gene ontology and pathway annotation networks
  publication-title: Bioinformatics
  doi: 10.1093/bioinformatics/btp101
– volume: 270
  start-page: 570
  year: 2003
  ident: ref_8
  article-title: Affinity purification-mass spectrometry. Powerful tools for the characterization of protein complexes
  publication-title: Eur. J. Biochem.
  doi: 10.1046/j.1432-1033.2003.03428.x
– volume: 10
  start-page: 656
  year: 2019
  ident: ref_65
  article-title: In silico prediction and validations of domains involved in Gossypium hirsutum SnRK1 protein interaction with cotton leaf curl multan betasatellite encoded βC1
  publication-title: Front. Plant Sci.
  doi: 10.3389/fpls.2019.00656
– ident: ref_82
  doi: 10.1371/journal.pone.0260584
– volume: 2017
  start-page: 4323496
  year: 2017
  ident: ref_19
  article-title: Identification of key pathways and genes in advanced coronary atherosclerosis using bioinformatics analysis
  publication-title: Biome. Res. Int.
  doi: 10.1155/2017/4323496
– ident: ref_56
  doi: 10.1609/icwsm.v3i1.13937
– volume: 19
  start-page: 286
  year: 2018
  ident: ref_1
  article-title: Genome, transcriptome and proteome: The rise of omics data and their integration in biomedical sciences
  publication-title: Brief. Bioinform.
  doi: 10.1093/bib/bbw114
– ident: ref_59
  doi: 10.1186/1471-2105-15-129
– volume: 5
  start-page: 137
  year: 2013
  ident: ref_35
  article-title: Identification of infection- and defense-related genes via a dynamic host-pathogen interaction network using a Candida albicans-zebrafish infection model
  publication-title: J. Innate Immun.
  doi: 10.1159/000347104
– ident: ref_57
  doi: 10.1186/1756-0500-4-384
– volume: 10
  start-page: 20970
  year: 2020
  ident: ref_75
  article-title: Network and pathway expansion of genetic disease associations identifies successful drug targets
  publication-title: Sci. Rep.
  doi: 10.1038/s41598-020-77847-9
– volume: 42
  start-page: 387
  year: 2019
  ident: ref_22
  article-title: Exploring the protein-protein interaction landscape in plants
  publication-title: Plant. Cell Environ.
  doi: 10.1111/pce.13433
– ident: ref_20
  doi: 10.1186/s12870-014-0213-7
– ident: ref_47
  doi: 10.1186/1471-2105-4-2
– volume: 46
  start-page: W60
  year: 2018
  ident: ref_40
  article-title: GeneMANIA update 2018
  publication-title: Nucleic Acids Res.
  doi: 10.1093/nar/gky311
– volume: 189
  start-page: 10
  year: 2019
  ident: ref_70
  article-title: Interaction of nuclear ERs and GPER in vitellogenesis in zebrafish
  publication-title: J. Steroid Biochem. Mol. Biol.
  doi: 10.1016/j.jsbmb.2019.01.013
– volume: 3
  start-page: 146
  year: 2014
  ident: ref_52
  article-title: ReactomeFIViz: A Cytoscape app for pathway and network-based data analysis
  publication-title: F1000Research
– volume: 12
  start-page: 5867
  year: 2022
  ident: ref_84
  article-title: Comparing protein–protein interaction networks of SARS-CoV-2 and (H1N1) influenza using topological features
  publication-title: Sci. Rep.
  doi: 10.1038/s41598-022-08574-6
– volume: 12
  start-page: 609766
  year: 2021
  ident: ref_12
  article-title: Protein complexes form a basis for complex hybrid incompatibility
  publication-title: Front. Genet.
  doi: 10.3389/fgene.2021.609766
– ident: ref_33
  doi: 10.3390/pathogens9080609
– volume: 45
  start-page: 353
  year: 2017
  ident: ref_73
  article-title: KEGG: New perspectives on genomes, pathways, diseases and drugs
  publication-title: Nucleic Acids Res.
  doi: 10.1093/nar/gkw1092
– volume: 14
  start-page: 3
  year: 2012
  ident: ref_60
  article-title: Tools for protein-protein interaction network analysis in cancer research
  publication-title: Clin. Transl. Oncol.
  doi: 10.1007/s12094-012-0755-9
– volume: 21
  start-page: 3448
  year: 2005
  ident: ref_50
  article-title: BiNGO: A Cytoscape plugin to assess overrepresentation of Gene Ontology categories in Biological Networks
  publication-title: Bioinformatics
  doi: 10.1093/bioinformatics/bti551
– volume: 53
  start-page: 24
  year: 2020
  ident: ref_66
  article-title: Eukaryotic expression, Co-IP and MS identify BMPR-1B protein-protein interaction network
  publication-title: Biol. Res.
  doi: 10.1186/s40659-020-00290-7
– volume: 20
  start-page: 604
  year: 2019
  ident: ref_64
  article-title: Why, when and how to adjust your P-values?
  publication-title: Cell J.
– volume: 40
  start-page: 319
  year: 2020
  ident: ref_17
  article-title: Graph cluster approach in identifying novel proteins and significant pathways involved in polycystic ovary syndrome
  publication-title: Reprod. Biomed. Online
  doi: 10.1016/j.rbmo.2019.11.012
– ident: ref_58
  doi: 10.1186/1471-2105-13-45
– volume: 10
  start-page: 2192
  year: 2019
  ident: ref_10
  article-title: Identification of the novel host protein interacting with the structural protein VP1 of Chinese sacbrood virus by yeast two-hybrid screening
  publication-title: Front. Microbiol.
  doi: 10.3389/fmicb.2019.02192
– volume: 9
  start-page: 694
  year: 2018
  ident: ref_79
  article-title: Hub protein controversy: Taking a closer look at plant stress response hubs
  publication-title: Front. Plant Sci.
  doi: 10.3389/fpls.2018.00694
– volume: 9
  start-page: 68
  year: 2019
  ident: ref_29
  article-title: The use of zebrafish (Danio rerio) as biomedical models
  publication-title: Anim. Front.
  doi: 10.1093/af/vfz020
– volume: 2014
  start-page: 147648
  year: 2014
  ident: ref_7
  article-title: Protein-protein interaction detection: Methods and analysis
  publication-title: Int. J. Proteom.
  doi: 10.1155/2014/147648
– ident: ref_14
  doi: 10.1371/journal.pcbi.1000807
– ident: ref_67
  doi: 10.1186/s12866-020-01763-1
– volume: 13
  start-page: 269
  year: 2014
  ident: ref_26
  article-title: Construction and application of a protein interaction map for white spot syndrome virus (WSSV)
  publication-title: Mol. Cell. Proteom.
  doi: 10.1074/mcp.M113.029199
– volume: 69
  start-page: e93
  year: 2020
  ident: ref_42
  article-title: Using the MINT database to search protein interactions
  publication-title: Curr. Protoc. Bioinforma.
  doi: 10.1002/cpbi.93
– ident: ref_18
  doi: 10.1186/s12864-016-2795-y
– volume: 340
  start-page: 245
  year: 1989
  ident: ref_11
  article-title: A Novel Genetic System to Detect Protein-Protein Interactions
  publication-title: Nature
  doi: 10.1038/340245a0
– volume: 12
  start-page: 815
  year: 2015
  ident: ref_48
  article-title: ClusterViz: A Cytoscape APP for cluster analysis of biological network
  publication-title: IEEE/ACM Trans. Comput. Biol. Bioinform.
  doi: 10.1109/TCBB.2014.2361348
– ident: ref_71
  doi: 10.1186/s12864-019-6437-z
– volume: 8
  start-page: 565
  year: 2012
  ident: ref_2
  article-title: Differential Network Biology
  publication-title: Mol. Syst. Biol.
  doi: 10.1038/msb.2011.99
– volume: 11
  start-page: 40
  year: 2010
  ident: ref_23
  article-title: Plant protein-protein interaction network and interactome
  publication-title: Curr. Genom.
  doi: 10.2174/138920210790218016
– volume: 39
  start-page: 698
  year: 2011
  ident: ref_38
  article-title: The BioGRID interaction database: 2011 update
  publication-title: Nucleic Acids Res.
  doi: 10.1093/nar/gkq1116
– ident: ref_69
  doi: 10.1371/journal.pone.0079020
– volume: 47
  start-page: 2933
  year: 2018
  ident: ref_15
  article-title: Construction and analysis of protein-protein interaction network to identify the molecular mechanism in laryngeal cancer
  publication-title: Sains Malays.
  doi: 10.17576/jsm-2018-4712-01
– volume: 31
  start-page: 1683
  year: 2015
  ident: ref_51
  article-title: ENViz: A Cytoscape app for integrated statistical analysis and visualization of sample-matched data with multiple data types
  publication-title: Bioinformatics
  doi: 10.1093/bioinformatics/btu853
– volume: 10
  start-page: 1120
  year: 2019
  ident: ref_13
  article-title: Leveraging User-friendly network approaches to extract knowledge from high-throughput omics datasets
  publication-title: Front. Genet.
  doi: 10.3389/fgene.2019.01120
– volume: 8
  start-page: 2699
  year: 2018
  ident: ref_61
  article-title: Early life exposure to ethinylestradiol enhances subsequent responses to environmental estrogens measured in a novel transgenic zebrafish
  publication-title: Sci. Rep.
  doi: 10.1038/s41598-018-20922-z
– volume: 40
  start-page: 841
  year: 2012
  ident: ref_41
  article-title: The IntAct molecular interaction database in 2012
  publication-title: Nucleic Acids Res.
  doi: 10.1093/nar/gkr1088
– volume: 9
  start-page: 8740
  year: 2019
  ident: ref_6
  article-title: Computational identification of protein-protein interactions in model plant proteomes
  publication-title: Sci. Rep.
  doi: 10.1038/s41598-019-45072-8
– volume: 3
  start-page: 144
  year: 2014
  ident: ref_53
  article-title: KEGGscape: A Cytoscape app for pathway data integration
  publication-title: F1000Research
  doi: 10.12688/f1000research.4524.1
– volume: 9
  start-page: e11876
  year: 2021
  ident: ref_21
  article-title: Potential Arabidopsis thaliana glucosinolate genes identified from the co-expression modules using graph clustering approach
  publication-title: PeerJ
  doi: 10.7717/peerj.11876
– volume: 18
  start-page: 3035
  year: 2004
  ident: ref_76
  article-title: Canonical Wnt signaling is critical to estrogen-mediated uterine growth
  publication-title: Mol. Endocrinol.
  doi: 10.1210/me.2004-0259
– volume: 17
  start-page: 100295
  year: 2020
  ident: ref_30
  article-title: The effect of photoperiod on growth and spawning performance of zebrafish, Danio rerio
  publication-title: Aquac. Rep.
  doi: 10.1016/j.aqrep.2020.100295
– volume: 234
  start-page: 23647
  year: 2019
  ident: ref_16
  article-title: Identification of key genes and pathways of thyroid cancer by integrated bioinformatics analysis
  publication-title: J. Cell. Physiol.
  doi: 10.1002/jcp.28932
– volume: 50
  start-page: 457
  year: 2019
  ident: ref_31
  article-title: Improved protocol for rapid zebrafish growth without reducing reproductive performance
  publication-title: Aquac. Res.
  doi: 10.1111/are.13912
– volume: 134
  start-page: 327
  year: 2021
  ident: ref_74
  article-title: ADAP is a possible negative regulator of glucosinolate biosynthesis in Arabidopsis thaliana based on clustering and gene expression analyses
  publication-title: J. Plant Res.
  doi: 10.1007/s10265-021-01257-9
– volume: 496
  start-page: 498
  year: 2013
  ident: ref_34
  article-title: The zebrafish reference genome sequence and its relationship to the human genome
  publication-title: Nature
  doi: 10.1038/nature12111
– volume: 580
  start-page: 402
  year: 2020
  ident: ref_3
  article-title: A reference map of the human binary protein interactome
  publication-title: Nature
  doi: 10.1038/s41586-020-2188-x
– volume: 59
  start-page: R65
  year: 2017
  ident: ref_37
  article-title: Nuclear receptor research in zebrafish
  publication-title: J. Mol. Endocrinol.
  doi: 10.1530/JME-17-0031
– volume: 49
  start-page: D605
  year: 2021
  ident: ref_43
  article-title: The STRING database in 2021: Customizable protein-protein networks, and functional characterization of user-uploaded gene/measurement sets
  publication-title: Nucleic Acids Res.
  doi: 10.1093/nar/gkaa1074
– volume: 32
  start-page: 449
  year: 2004
  ident: ref_39
  article-title: The Database of Interacting Proteins: 2004 update
  publication-title: Nucleic Acids Res.
  doi: 10.1093/nar/gkh086
– volume: 47
  start-page: 2583
  year: 2015
  ident: ref_80
  article-title: Protein function prediction using guilty by association from interaction networks
  publication-title: Amino Acids
  doi: 10.1007/s00726-015-2049-3
– ident: ref_25
– volume: 27
  start-page: 729
  year: 2020
  ident: ref_36
  article-title: Protein network analysis of the fifth chromosome of zebrafish
  publication-title: J. Comput. Biol.
  doi: 10.1089/cmb.2019.0157
– volume: 18
  start-page: 1057
  year: 2017
  ident: ref_78
  article-title: A protein network descriptor server and its use in studying protein, disease, metabolic and drug targeted networks
  publication-title: Brief. Bioinform.
– volume: 91
  start-page: 10236
  year: 2019
  ident: ref_68
  article-title: A Simple cross-linking/mass spectrometry workflow for studying system-wide protein interactions
  publication-title: Anal. Chem.
  doi: 10.1021/acs.analchem.9b02372
– volume: 8
  start-page: e2662
  year: 2017
  ident: ref_77
  article-title: Estrogen receptors in granulosa cells govern meiotic resumption of pre-ovulatory oocytes in mammals
  publication-title: Cell Death Dis.
  doi: 10.1038/cddis.2017.82
– ident: ref_27
  doi: 10.1186/s12866-021-02261-8
– ident: ref_9
  doi: 10.1186/s12915-017-0446-7
– volume: 12
  start-page: 629013
  year: 2021
  ident: ref_81
  article-title: Network topological analysis for the identification of novel hubs in plant nutrition
  publication-title: Front. Plant Sci.
  doi: 10.3389/fpls.2021.629013
– volume: 403
  start-page: 601
  year: 2000
  ident: ref_24
  article-title: Guilt-by-Association Goes Global
  publication-title: Nature
  doi: 10.1038/35001165
– volume: 158
  start-page: 2292
  year: 2017
  ident: ref_63
  article-title: Functional analysis of nuclear estrogen receptors in zebrafish reproduction by genome editing approach
  publication-title: Endocrinology
  doi: 10.1210/en.2017-00215
– volume: 9
  start-page: 567
  year: 2018
  ident: ref_72
  article-title: Fertility enhancement but premature ovarian failure in esr1-deficient female zebrafish
  publication-title: Front. Endocrinol.
  doi: 10.3389/fendo.2018.00567
– volume: 9
  start-page: 345
  year: 2012
  ident: ref_44
  article-title: Protein interaction data curation: The International Molecular Exchange (IMEx) consortium
  publication-title: Nat. Methods
  doi: 10.1038/nmeth.1931
– volume: 6
  start-page: 135
  year: 2018
  ident: ref_28
  article-title: Zebrafish-a model organism for studying the neurobiological mechanisms underlying cognitive brain aging and use of potential interventions
  publication-title: Front. Cell Dev. Biol.
  doi: 10.3389/fcell.2018.00135
– volume: 5
  start-page: 313
  year: 2014
  ident: ref_32
  article-title: Zebrafish as animal model for aquaculture nutrition research
  publication-title: Front. Genet.
  doi: 10.3389/fgene.2014.00313
– volume: 159
  start-page: 3515
  year: 2018
  ident: ref_62
  article-title: G Protein-coupled estrogen receptor is not required for sex determination or ovary function in zebrafish
  publication-title: Endocrinology
  doi: 10.1210/en.2018-00685
– volume: 50
  start-page: D640
  year: 2022
  ident: ref_45
  article-title: IID 2021: Towards context-specific protein interaction analyses by increased coverage, enhanced annotation and enrichment analysis
  publication-title: Nucleic Acids Res.
  doi: 10.1093/nar/gkab1034
– volume: 3
  start-page: 152
  year: 2014
  ident: ref_54
  article-title: WikiPathways app for Cytoscape: Making biological pathways amenable to network analysis and visualization
  publication-title: F1000Research
  doi: 10.12688/f1000research.4254.2
– volume: 24
  start-page: 282
  year: 2008
  ident: ref_55
  article-title: Computing topological parameters of biological networks
  publication-title: Bioinformatics
  doi: 10.1093/bioinformatics/btm554
– volume: 13
  start-page: 2498
  year: 2003
  ident: ref_46
  article-title: Cytoscape: A software environment for integrated models of biomolecular interaction networks
  publication-title: Genome Res.
  doi: 10.1101/gr.1239303
– volume: 13
  start-page: 156
  year: 2021
  ident: ref_5
  article-title: Protein-protein interaction network: An emerging tool for understanding fish disease in aquaculture
  publication-title: Rev. Aquac.
  doi: 10.1111/raq.12468
– volume: 549
  start-page: 293
  year: 2017
  ident: ref_4
  article-title: Protein maps chart the causes of disease
  publication-title: Nature
  doi: 10.1038/549293a
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Snippet Protein–protein interaction (PPI) is involved in every biological process that occurs within an organism. The understanding of PPI is essential for deciphering...
Protein-protein interaction (PPI) is involved in every biological process that occurs within an organism. The understanding of PPI is essential for deciphering...
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SubjectTerms Aquaculture
Bioinformatics
Biological activity
Computer programs
Crop improvement
Disease
Genes
Genomics
Hormones
Medical research
network
network analysis
oestrogen receptor
Pathogenesis
Physiology
Plant physiology
Proteins
protein–protein interaction
Receptors
Review
Signal transduction
Workflow
Zebrafish
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