iTAK: A Program for Genome-wide Prediction and Classification of Plant Transcription Factors, Transcriptional Regulators, and Protein Kinases

Autores
Zheng, Yi; Jiao, Chen; Sun, Honghe; Rosli, Hernan Guillermo; Pombo, Marina Alejandra; Zhang, Peifen; Banf, Michael; Dai, Xinbin; Martin, Gregory B.; Giovannoni, James J.; Zhao, Patrick X.; Rhee, Seung Y.; Fei, Zhangjun
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Transcription factors (TFs) are proteins that regulate the expression of target genes by binding to specific cis-elements in promoter regions. Transcriptional regulators (TRs) also regulate the expression of target genes; however, they operate indirectly via interaction with the basal transcription apparatus (e.g. TFs), or by altering the accessibility of DNA to TFs via chromatin remodeling. Another type of regulatory proteins, protein kinases (PKs), function in signal transduction pathways and alter the activity of target proteins by phosphorylating them. These three important classes of regulatory proteins have been associated with numerous aspects of plant growth and development (Gapper et al., 2014; Xu and Zhang, 2015), and response to biotic and abiotic stimuli (Mickelbart et al., 2015; Zhang et al., 2013). Effective and accurate identification and classification of these genes is important for understanding their evolution, biological functions, and regulatory networks. Currently, more than 100 plant genomes have been sequenced and regulatory proteins have been systematically identified from several of these plant genomes. Databases presenting these regulatory proteins, especially TFs, have been developed, such as PlnTFDB (Pérez-Rodríguez et al., 2010) and PlantTFDB (Jin et al., 2013). However, annotations of TF/TR families and the associated classification rules have been inconsistent among different studies. For example, the PlantTFDB does not include TRs that are presented in PlnTFDB. As another example, the ?forbidden? domain (a domain that the specific TF families should not contain) of the C2H2 family is annotated as an RNase_T domain in PlantTFDB, but as a PHD domain in PlnTFDB. Presently, while the collection of genome sequences is rapidly expanding, cataloged and annotated TFs/TRs vary across different databases due to inconsistent identification and characterization criteria with serious consequences for genome scale and targeted analyses. Furthermore, in contrast to many studies focusing on specific families of plant regulators, computational tools for identification and classification of these regulatory proteins on a genome scale are very limited.
Fil: Zheng, Yi. Boyce Thompson Institute; Estados Unidos
Fil: Jiao, Chen. Boyce Thompson Institute; Estados Unidos
Fil: Sun, Honghe. Boyce Thompson Institute; Estados Unidos
Fil: Rosli, Hernan Guillermo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Fisiología Vegetal. Universidad Nacional de La Plata. Facultad de Ciencias Naturales y Museo. Instituto de Fisiología Vegetal; Argentina. Boyce Thompson Institute; Estados Unidos
Fil: Pombo, Marina Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Fisiología Vegetal. Universidad Nacional de La Plata. Facultad de Ciencias Naturales y Museo. Instituto de Fisiología Vegetal; Argentina. Boyce Thompson Institute; Estados Unidos
Fil: Zhang, Peifen. Carnegie Institution for Science; Estados Unidos
Fil: Banf, Michael. Carnegie Institution for Science; Estados Unidos
Fil: Dai, Xinbin. Samuel Roberts Noble Foundation; Estados Unidos
Fil: Martin, Gregory B.. Boyce Thompson Institute; Estados Unidos. Cornell University; Estados Unidos
Fil: Giovannoni, James J.. Boyce Thompson Institute; Estados Unidos. Center for Agriculture and Health; Estados Unidos
Fil: Zhao, Patrick X.. Samuel Roberts Noble Foundation; Estados Unidos
Fil: Rhee, Seung Y.. Carnegie Institution for Science; Estados Unidos
Fil: Fei, Zhangjun. Boyce Thompson Institute; Estados Unidos. Center for Agriculture and Health; Estados Unidos
Materia
Itak
Database
Transcription Factors
Kinases
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/84418

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network_name_str CONICET Digital (CONICET)
spelling iTAK: A Program for Genome-wide Prediction and Classification of Plant Transcription Factors, Transcriptional Regulators, and Protein KinasesZheng, YiJiao, ChenSun, HongheRosli, Hernan GuillermoPombo, Marina AlejandraZhang, PeifenBanf, MichaelDai, XinbinMartin, Gregory B.Giovannoni, James J.Zhao, Patrick X.Rhee, Seung Y.Fei, ZhangjunItakDatabaseTranscription FactorsKinaseshttps://purl.org/becyt/ford/4.4https://purl.org/becyt/ford/4Transcription factors (TFs) are proteins that regulate the expression of target genes by binding to specific cis-elements in promoter regions. Transcriptional regulators (TRs) also regulate the expression of target genes; however, they operate indirectly via interaction with the basal transcription apparatus (e.g. TFs), or by altering the accessibility of DNA to TFs via chromatin remodeling. Another type of regulatory proteins, protein kinases (PKs), function in signal transduction pathways and alter the activity of target proteins by phosphorylating them. These three important classes of regulatory proteins have been associated with numerous aspects of plant growth and development (Gapper et al., 2014; Xu and Zhang, 2015), and response to biotic and abiotic stimuli (Mickelbart et al., 2015; Zhang et al., 2013). Effective and accurate identification and classification of these genes is important for understanding their evolution, biological functions, and regulatory networks. Currently, more than 100 plant genomes have been sequenced and regulatory proteins have been systematically identified from several of these plant genomes. Databases presenting these regulatory proteins, especially TFs, have been developed, such as PlnTFDB (Pérez-Rodríguez et al., 2010) and PlantTFDB (Jin et al., 2013). However, annotations of TF/TR families and the associated classification rules have been inconsistent among different studies. For example, the PlantTFDB does not include TRs that are presented in PlnTFDB. As another example, the ?forbidden? domain (a domain that the specific TF families should not contain) of the C2H2 family is annotated as an RNase_T domain in PlantTFDB, but as a PHD domain in PlnTFDB. Presently, while the collection of genome sequences is rapidly expanding, cataloged and annotated TFs/TRs vary across different databases due to inconsistent identification and characterization criteria with serious consequences for genome scale and targeted analyses. Furthermore, in contrast to many studies focusing on specific families of plant regulators, computational tools for identification and classification of these regulatory proteins on a genome scale are very limited.Fil: Zheng, Yi. Boyce Thompson Institute; Estados UnidosFil: Jiao, Chen. Boyce Thompson Institute; Estados UnidosFil: Sun, Honghe. Boyce Thompson Institute; Estados UnidosFil: Rosli, Hernan Guillermo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Fisiología Vegetal. Universidad Nacional de La Plata. Facultad de Ciencias Naturales y Museo. Instituto de Fisiología Vegetal; Argentina. Boyce Thompson Institute; Estados UnidosFil: Pombo, Marina Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Fisiología Vegetal. Universidad Nacional de La Plata. Facultad de Ciencias Naturales y Museo. Instituto de Fisiología Vegetal; Argentina. Boyce Thompson Institute; Estados UnidosFil: Zhang, Peifen. Carnegie Institution for Science; Estados UnidosFil: Banf, Michael. Carnegie Institution for Science; Estados UnidosFil: Dai, Xinbin. Samuel Roberts Noble Foundation; Estados UnidosFil: Martin, Gregory B.. Boyce Thompson Institute; Estados Unidos. Cornell University; Estados UnidosFil: Giovannoni, James J.. Boyce Thompson Institute; Estados Unidos. Center for Agriculture and Health; Estados UnidosFil: Zhao, Patrick X.. Samuel Roberts Noble Foundation; Estados UnidosFil: Rhee, Seung Y.. Carnegie Institution for Science; Estados UnidosFil: Fei, Zhangjun. Boyce Thompson Institute; Estados Unidos. Center for Agriculture and Health; Estados UnidosElsevier2016-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/84418Zheng, Yi; Jiao, Chen; Sun, Honghe; Rosli, Hernan Guillermo; Pombo, Marina Alejandra; et al.; iTAK: A Program for Genome-wide Prediction and Classification of Plant Transcription Factors, Transcriptional Regulators, and Protein Kinases; Elsevier; Molecular Plant; 9; 12; 12-2016; 1667-16701674-2052CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.molp.2016.09.014info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1674205216302234info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T12:05:45Zoai:ri.conicet.gov.ar:11336/84418instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 12:05:45.967CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv iTAK: A Program for Genome-wide Prediction and Classification of Plant Transcription Factors, Transcriptional Regulators, and Protein Kinases
title iTAK: A Program for Genome-wide Prediction and Classification of Plant Transcription Factors, Transcriptional Regulators, and Protein Kinases
spellingShingle iTAK: A Program for Genome-wide Prediction and Classification of Plant Transcription Factors, Transcriptional Regulators, and Protein Kinases
Zheng, Yi
Itak
Database
Transcription Factors
Kinases
title_short iTAK: A Program for Genome-wide Prediction and Classification of Plant Transcription Factors, Transcriptional Regulators, and Protein Kinases
title_full iTAK: A Program for Genome-wide Prediction and Classification of Plant Transcription Factors, Transcriptional Regulators, and Protein Kinases
title_fullStr iTAK: A Program for Genome-wide Prediction and Classification of Plant Transcription Factors, Transcriptional Regulators, and Protein Kinases
title_full_unstemmed iTAK: A Program for Genome-wide Prediction and Classification of Plant Transcription Factors, Transcriptional Regulators, and Protein Kinases
title_sort iTAK: A Program for Genome-wide Prediction and Classification of Plant Transcription Factors, Transcriptional Regulators, and Protein Kinases
dc.creator.none.fl_str_mv Zheng, Yi
Jiao, Chen
Sun, Honghe
Rosli, Hernan Guillermo
Pombo, Marina Alejandra
Zhang, Peifen
Banf, Michael
Dai, Xinbin
Martin, Gregory B.
Giovannoni, James J.
Zhao, Patrick X.
Rhee, Seung Y.
Fei, Zhangjun
author Zheng, Yi
author_facet Zheng, Yi
Jiao, Chen
Sun, Honghe
Rosli, Hernan Guillermo
Pombo, Marina Alejandra
Zhang, Peifen
Banf, Michael
Dai, Xinbin
Martin, Gregory B.
Giovannoni, James J.
Zhao, Patrick X.
Rhee, Seung Y.
Fei, Zhangjun
author_role author
author2 Jiao, Chen
Sun, Honghe
Rosli, Hernan Guillermo
Pombo, Marina Alejandra
Zhang, Peifen
Banf, Michael
Dai, Xinbin
Martin, Gregory B.
Giovannoni, James J.
Zhao, Patrick X.
Rhee, Seung Y.
Fei, Zhangjun
author2_role author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Itak
Database
Transcription Factors
Kinases
topic Itak
Database
Transcription Factors
Kinases
purl_subject.fl_str_mv https://purl.org/becyt/ford/4.4
https://purl.org/becyt/ford/4
dc.description.none.fl_txt_mv Transcription factors (TFs) are proteins that regulate the expression of target genes by binding to specific cis-elements in promoter regions. Transcriptional regulators (TRs) also regulate the expression of target genes; however, they operate indirectly via interaction with the basal transcription apparatus (e.g. TFs), or by altering the accessibility of DNA to TFs via chromatin remodeling. Another type of regulatory proteins, protein kinases (PKs), function in signal transduction pathways and alter the activity of target proteins by phosphorylating them. These three important classes of regulatory proteins have been associated with numerous aspects of plant growth and development (Gapper et al., 2014; Xu and Zhang, 2015), and response to biotic and abiotic stimuli (Mickelbart et al., 2015; Zhang et al., 2013). Effective and accurate identification and classification of these genes is important for understanding their evolution, biological functions, and regulatory networks. Currently, more than 100 plant genomes have been sequenced and regulatory proteins have been systematically identified from several of these plant genomes. Databases presenting these regulatory proteins, especially TFs, have been developed, such as PlnTFDB (Pérez-Rodríguez et al., 2010) and PlantTFDB (Jin et al., 2013). However, annotations of TF/TR families and the associated classification rules have been inconsistent among different studies. For example, the PlantTFDB does not include TRs that are presented in PlnTFDB. As another example, the ?forbidden? domain (a domain that the specific TF families should not contain) of the C2H2 family is annotated as an RNase_T domain in PlantTFDB, but as a PHD domain in PlnTFDB. Presently, while the collection of genome sequences is rapidly expanding, cataloged and annotated TFs/TRs vary across different databases due to inconsistent identification and characterization criteria with serious consequences for genome scale and targeted analyses. Furthermore, in contrast to many studies focusing on specific families of plant regulators, computational tools for identification and classification of these regulatory proteins on a genome scale are very limited.
Fil: Zheng, Yi. Boyce Thompson Institute; Estados Unidos
Fil: Jiao, Chen. Boyce Thompson Institute; Estados Unidos
Fil: Sun, Honghe. Boyce Thompson Institute; Estados Unidos
Fil: Rosli, Hernan Guillermo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Fisiología Vegetal. Universidad Nacional de La Plata. Facultad de Ciencias Naturales y Museo. Instituto de Fisiología Vegetal; Argentina. Boyce Thompson Institute; Estados Unidos
Fil: Pombo, Marina Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Fisiología Vegetal. Universidad Nacional de La Plata. Facultad de Ciencias Naturales y Museo. Instituto de Fisiología Vegetal; Argentina. Boyce Thompson Institute; Estados Unidos
Fil: Zhang, Peifen. Carnegie Institution for Science; Estados Unidos
Fil: Banf, Michael. Carnegie Institution for Science; Estados Unidos
Fil: Dai, Xinbin. Samuel Roberts Noble Foundation; Estados Unidos
Fil: Martin, Gregory B.. Boyce Thompson Institute; Estados Unidos. Cornell University; Estados Unidos
Fil: Giovannoni, James J.. Boyce Thompson Institute; Estados Unidos. Center for Agriculture and Health; Estados Unidos
Fil: Zhao, Patrick X.. Samuel Roberts Noble Foundation; Estados Unidos
Fil: Rhee, Seung Y.. Carnegie Institution for Science; Estados Unidos
Fil: Fei, Zhangjun. Boyce Thompson Institute; Estados Unidos. Center for Agriculture and Health; Estados Unidos
description Transcription factors (TFs) are proteins that regulate the expression of target genes by binding to specific cis-elements in promoter regions. Transcriptional regulators (TRs) also regulate the expression of target genes; however, they operate indirectly via interaction with the basal transcription apparatus (e.g. TFs), or by altering the accessibility of DNA to TFs via chromatin remodeling. Another type of regulatory proteins, protein kinases (PKs), function in signal transduction pathways and alter the activity of target proteins by phosphorylating them. These three important classes of regulatory proteins have been associated with numerous aspects of plant growth and development (Gapper et al., 2014; Xu and Zhang, 2015), and response to biotic and abiotic stimuli (Mickelbart et al., 2015; Zhang et al., 2013). Effective and accurate identification and classification of these genes is important for understanding their evolution, biological functions, and regulatory networks. Currently, more than 100 plant genomes have been sequenced and regulatory proteins have been systematically identified from several of these plant genomes. Databases presenting these regulatory proteins, especially TFs, have been developed, such as PlnTFDB (Pérez-Rodríguez et al., 2010) and PlantTFDB (Jin et al., 2013). However, annotations of TF/TR families and the associated classification rules have been inconsistent among different studies. For example, the PlantTFDB does not include TRs that are presented in PlnTFDB. As another example, the ?forbidden? domain (a domain that the specific TF families should not contain) of the C2H2 family is annotated as an RNase_T domain in PlantTFDB, but as a PHD domain in PlnTFDB. Presently, while the collection of genome sequences is rapidly expanding, cataloged and annotated TFs/TRs vary across different databases due to inconsistent identification and characterization criteria with serious consequences for genome scale and targeted analyses. Furthermore, in contrast to many studies focusing on specific families of plant regulators, computational tools for identification and classification of these regulatory proteins on a genome scale are very limited.
publishDate 2016
dc.date.none.fl_str_mv 2016-12
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/84418
Zheng, Yi; Jiao, Chen; Sun, Honghe; Rosli, Hernan Guillermo; Pombo, Marina Alejandra; et al.; iTAK: A Program for Genome-wide Prediction and Classification of Plant Transcription Factors, Transcriptional Regulators, and Protein Kinases; Elsevier; Molecular Plant; 9; 12; 12-2016; 1667-1670
1674-2052
CONICET Digital
CONICET
url http://hdl.handle.net/11336/84418
identifier_str_mv Zheng, Yi; Jiao, Chen; Sun, Honghe; Rosli, Hernan Guillermo; Pombo, Marina Alejandra; et al.; iTAK: A Program for Genome-wide Prediction and Classification of Plant Transcription Factors, Transcriptional Regulators, and Protein Kinases; Elsevier; Molecular Plant; 9; 12; 12-2016; 1667-1670
1674-2052
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.molp.2016.09.014
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S1674205216302234
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
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instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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