A Non-Coding RNA Network Involved in KSHV Tumorigenesis

Autores
Naipauer, Julián; García Solá, Martín E.; Salyakina, Daria; Rosario, Santas; Williams, Sion; Coso, Omar; Abba, Martín Carlos; Mesri, Enrique A.; Lacunza, Ezequiel
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Regulatory pathways involving non-coding RNAs (ncRNAs), such as microRNAs (miRNAs) and long non-coding RNAs (lncRNA), have gained great relevance due to their role in the control of gene expression modulation. Using RNA sequencing of KSHV Bac36 transfected mouse endothelial cells (mECK36) and tumors, we have analyzed the host and viral transcriptome to uncover the role lncRNA-miRNA-mRNA driven networks in KSHV tumorigenesis. The integration of the differentially expressed ncRNAs, with an exhaustive computational analysis of their experimentally supported targets, led us to dissect complex networks integrated by the cancer-related lncRNAs Malat1, Neat1, H19, Meg3, and their associated miRNA-target pairs. These networks would modulate pathways related to KSHV pathogenesis, such as viral carcinogenesis, p53 signaling, RNA surveillance, and cell cycle control. Finally, the ncRNA-mRNA analysis allowed us to develop signatures that can be used to an appropriate identification of druggable gene or networks defining relevant AIDS-KS therapeutic targets.
El material suplementario incluye: DataSheet_1_A Non-Coding RNA Network Involved in KSHV Tumorigenesis Supplementary Table 1 | DE lncRNAs in key biological comparisons detected by RNA-sequencing. Results were obtained after DeSeq2 analysis of: two KSHV (+) cells, two KSHV (−) cells, six KSHV (+) tumors, two KSHV (−) tumor cells and three KSHV (−) tumors. Supplementary Table 2 | Pathway analysis of the lncRNAs EVT. Supplementary Table 3 | Pathway analysis of the selected lncRNAs and their EVT genes DE in the corresponding comparisons. Supplementary Table 4 | DE miRNAs in key biological comparisons detected by small RNA-sequencing. Supplementary Table 5 | Pathway analysis of DE miRNAs and their EVT genes DE in the corresponding comparisons. Supplementary Table 6 | KSHV miRNAs analysis in KSHV (+) tumors and pathway analysis of their EVT. Supplementary Table 7 | lncRNA-miRNA-mRNA-Pathway networks. Supplementary Table 8 | Drugs associated with miRNA-gene pairs obtained from network analysis.
Centro de Investigaciones Inmunológicas Básicas y Aplicadas
Materia
Ciencias Médicas
Long non-coding
RNAs
microRNAs
KSHV
Network pathways
Druggable targets
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/125575

id SEDICI_0df6c9c5019e391c5c5fafe7230ea704
oai_identifier_str oai:sedici.unlp.edu.ar:10915/125575
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling A Non-Coding RNA Network Involved in KSHV TumorigenesisNaipauer, JuliánGarcía Solá, Martín E.Salyakina, DariaRosario, SantasWilliams, SionCoso, OmarAbba, Martín CarlosMesri, Enrique A.Lacunza, EzequielCiencias MédicasLong non-codingRNAsmicroRNAsKSHVNetwork pathwaysDruggable targetsRegulatory pathways involving non-coding RNAs (ncRNAs), such as microRNAs (miRNAs) and long non-coding RNAs (lncRNA), have gained great relevance due to their role in the control of gene expression modulation. Using RNA sequencing of KSHV Bac36 transfected mouse endothelial cells (mECK36) and tumors, we have analyzed the host and viral transcriptome to uncover the role lncRNA-miRNA-mRNA driven networks in KSHV tumorigenesis. The integration of the differentially expressed ncRNAs, with an exhaustive computational analysis of their experimentally supported targets, led us to dissect complex networks integrated by the cancer-related lncRNAs Malat1, Neat1, H19, Meg3, and their associated miRNA-target pairs. These networks would modulate pathways related to KSHV pathogenesis, such as viral carcinogenesis, p53 signaling, RNA surveillance, and cell cycle control. Finally, the ncRNA-mRNA analysis allowed us to develop signatures that can be used to an appropriate identification of druggable gene or networks defining relevant AIDS-KS therapeutic targets.El material suplementario incluye: DataSheet_1_A Non-Coding RNA Network Involved in KSHV Tumorigenesis Supplementary Table 1 | DE lncRNAs in key biological comparisons detected by RNA-sequencing. Results were obtained after DeSeq2 analysis of: two KSHV (+) cells, two KSHV (−) cells, six KSHV (+) tumors, two KSHV (−) tumor cells and three KSHV (−) tumors. Supplementary Table 2 | Pathway analysis of the lncRNAs EVT. Supplementary Table 3 | Pathway analysis of the selected lncRNAs and their EVT genes DE in the corresponding comparisons. Supplementary Table 4 | DE miRNAs in key biological comparisons detected by small RNA-sequencing. Supplementary Table 5 | Pathway analysis of DE miRNAs and their EVT genes DE in the corresponding comparisons. Supplementary Table 6 | KSHV miRNAs analysis in KSHV (+) tumors and pathway analysis of their EVT. Supplementary Table 7 | lncRNA-miRNA-mRNA-Pathway networks. Supplementary Table 8 | Drugs associated with miRNA-gene pairs obtained from network analysis.Centro de Investigaciones Inmunológicas Básicas y Aplicadas2021-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/125575enginfo:eu-repo/semantics/altIdentifier/issn/2234-943Xinfo:eu-repo/semantics/altIdentifier/doi/10.3389/fonc.2021.687629info:eu-repo/semantics/reference/hdl/10915/125572info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/Creative Commons Attribution 4.0 International (CC BY 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-03T11:02:18Zoai:sedici.unlp.edu.ar:10915/125575Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 11:02:18.804SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv A Non-Coding RNA Network Involved in KSHV Tumorigenesis
title A Non-Coding RNA Network Involved in KSHV Tumorigenesis
spellingShingle A Non-Coding RNA Network Involved in KSHV Tumorigenesis
Naipauer, Julián
Ciencias Médicas
Long non-coding
RNAs
microRNAs
KSHV
Network pathways
Druggable targets
title_short A Non-Coding RNA Network Involved in KSHV Tumorigenesis
title_full A Non-Coding RNA Network Involved in KSHV Tumorigenesis
title_fullStr A Non-Coding RNA Network Involved in KSHV Tumorigenesis
title_full_unstemmed A Non-Coding RNA Network Involved in KSHV Tumorigenesis
title_sort A Non-Coding RNA Network Involved in KSHV Tumorigenesis
dc.creator.none.fl_str_mv Naipauer, Julián
García Solá, Martín E.
Salyakina, Daria
Rosario, Santas
Williams, Sion
Coso, Omar
Abba, Martín Carlos
Mesri, Enrique A.
Lacunza, Ezequiel
author Naipauer, Julián
author_facet Naipauer, Julián
García Solá, Martín E.
Salyakina, Daria
Rosario, Santas
Williams, Sion
Coso, Omar
Abba, Martín Carlos
Mesri, Enrique A.
Lacunza, Ezequiel
author_role author
author2 García Solá, Martín E.
Salyakina, Daria
Rosario, Santas
Williams, Sion
Coso, Omar
Abba, Martín Carlos
Mesri, Enrique A.
Lacunza, Ezequiel
author2_role author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Ciencias Médicas
Long non-coding
RNAs
microRNAs
KSHV
Network pathways
Druggable targets
topic Ciencias Médicas
Long non-coding
RNAs
microRNAs
KSHV
Network pathways
Druggable targets
dc.description.none.fl_txt_mv Regulatory pathways involving non-coding RNAs (ncRNAs), such as microRNAs (miRNAs) and long non-coding RNAs (lncRNA), have gained great relevance due to their role in the control of gene expression modulation. Using RNA sequencing of KSHV Bac36 transfected mouse endothelial cells (mECK36) and tumors, we have analyzed the host and viral transcriptome to uncover the role lncRNA-miRNA-mRNA driven networks in KSHV tumorigenesis. The integration of the differentially expressed ncRNAs, with an exhaustive computational analysis of their experimentally supported targets, led us to dissect complex networks integrated by the cancer-related lncRNAs Malat1, Neat1, H19, Meg3, and their associated miRNA-target pairs. These networks would modulate pathways related to KSHV pathogenesis, such as viral carcinogenesis, p53 signaling, RNA surveillance, and cell cycle control. Finally, the ncRNA-mRNA analysis allowed us to develop signatures that can be used to an appropriate identification of druggable gene or networks defining relevant AIDS-KS therapeutic targets.
El material suplementario incluye: DataSheet_1_A Non-Coding RNA Network Involved in KSHV Tumorigenesis Supplementary Table 1 | DE lncRNAs in key biological comparisons detected by RNA-sequencing. Results were obtained after DeSeq2 analysis of: two KSHV (+) cells, two KSHV (−) cells, six KSHV (+) tumors, two KSHV (−) tumor cells and three KSHV (−) tumors. Supplementary Table 2 | Pathway analysis of the lncRNAs EVT. Supplementary Table 3 | Pathway analysis of the selected lncRNAs and their EVT genes DE in the corresponding comparisons. Supplementary Table 4 | DE miRNAs in key biological comparisons detected by small RNA-sequencing. Supplementary Table 5 | Pathway analysis of DE miRNAs and their EVT genes DE in the corresponding comparisons. Supplementary Table 6 | KSHV miRNAs analysis in KSHV (+) tumors and pathway analysis of their EVT. Supplementary Table 7 | lncRNA-miRNA-mRNA-Pathway networks. Supplementary Table 8 | Drugs associated with miRNA-gene pairs obtained from network analysis.
Centro de Investigaciones Inmunológicas Básicas y Aplicadas
description Regulatory pathways involving non-coding RNAs (ncRNAs), such as microRNAs (miRNAs) and long non-coding RNAs (lncRNA), have gained great relevance due to their role in the control of gene expression modulation. Using RNA sequencing of KSHV Bac36 transfected mouse endothelial cells (mECK36) and tumors, we have analyzed the host and viral transcriptome to uncover the role lncRNA-miRNA-mRNA driven networks in KSHV tumorigenesis. The integration of the differentially expressed ncRNAs, with an exhaustive computational analysis of their experimentally supported targets, led us to dissect complex networks integrated by the cancer-related lncRNAs Malat1, Neat1, H19, Meg3, and their associated miRNA-target pairs. These networks would modulate pathways related to KSHV pathogenesis, such as viral carcinogenesis, p53 signaling, RNA surveillance, and cell cycle control. Finally, the ncRNA-mRNA analysis allowed us to develop signatures that can be used to an appropriate identification of druggable gene or networks defining relevant AIDS-KS therapeutic targets.
publishDate 2021
dc.date.none.fl_str_mv 2021-06
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
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://sedici.unlp.edu.ar/handle/10915/125575
url http://sedici.unlp.edu.ar/handle/10915/125575
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/issn/2234-943X
info:eu-repo/semantics/altIdentifier/doi/10.3389/fonc.2021.687629
info:eu-repo/semantics/reference/hdl/10915/125572
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
Creative Commons Attribution 4.0 International (CC BY 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
Creative Commons Attribution 4.0 International (CC BY 4.0)
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
_version_ 1842260520748449792
score 13.13397