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dc.contributor.authorAuthorVidal, Mabel
dc.contributor.authorAuthorFraga, Marco
dc.contributor.authorAuthorLlerena, Faryd
dc.contributor.authorAuthorVera, Agustín
dc.contributor.authorAuthorHernández, Mauricio
dc.contributor.authorAuthorKoch, Elard
dc.contributor.authorAuthorReyes-López, Felipe
dc.contributor.authorAuthorVallejos-Vidal, Eva
dc.contributor.authorAuthorCabrera-Vives, Guillermo
dc.contributor.authorAuthorNova-Lamperti, Estefanía
dc.date.accessionedDate Accessioned2024-09-03T19:19:16Z
dc.date.availableDate Available2024-09-03T19:19:16Z
dc.date.issuedDate Issued2022
dc.identifier.citationReferencia BibliográficaInternational Journal of Molecular Sciences, 23(19), 21 p.
dc.identifier.issnISSN1661-6596
dc.identifier.uriURIhttp://repositorio.udla.cl/xmlui/handle/udla/1443
dc.identifier.uriURIhttps://www.mdpi.com/journal/ijms
dc.description.abstractAbstractCD8+ and CD4+ T-cells play a key role in cellular immune responses against cancer by cytotoxic responses and effector lineages differentiation, respectively. These subsets have been found in different types of cancer; however, it is unclear whether tumor-infiltrating T-cell subsets exhibit similar transcriptome profiling across different types of cancer in comparison with healthy tissue-resident T-cells. Thus, we analyzed the single cell transcriptome of five tumor-infiltrating CD4-T, CD8-T and Treg cells obtained from different types of cancer to identify specific pathways for each subset in malignant environments. An in silico analysis was performed from single-cell RNA-sequencing data available in public repositories (Gene Expression Omnibus) including breast cancer, melanoma, colorectal cancer, lung cancer and head and neck cancer. After dimensionality reduction, clustering and selection of the different subpopulations from malignant and nonmalignant datasets, common genes across different types of cancer were identified and compared to nonmalignant genes for each T-cell subset to identify specific pathways. Exclusive pathways in CD4+ cells, CD8+ cells and Tregs, and common pathways for the tumor-infiltrating T-cell subsets were identified. Finally, the identified pathways were compared with RNAseq and proteomic data obtained from T-cell subsets cultured under malignant environments and we observed that cytokine signaling, especially Th2-type cytokine, was the top overrepresented pathway in Tregs from malignant samples.
dc.format.extentdc.format.extent21 páginas
dc.format.extentdc.format.extent5.047Mb
dc.format.mimetypedc.format.mimetypePDF
dc.language.isoLanguage ISOeng
dc.publisherPublisherMDPI
dc.rightsRightsCreative Commons Attribution License (CC BY)
dc.sourceSourcesInternational Journal of Molecular Sciences
dc.subjectSubjectMetabolic pathways
dc.subjectSubjectSingle-cell RNA-seq
dc.subjectSubjectT-cell
dc.subjectSubjectViral pathways
dc.subject.lcshdc.subject.lcshCáncer
dc.subject.lcshdc.subject.lcshInmunopatología
dc.titleTitleAnalysis of tumor-infiltrating t-cell transcriptomes reveal a unique genetic signature across different types of cancer
dc.typeDocument TypeArtículo
dc.udla.catalogadordc.udla.catalogadorCBM
dc.udla.indexdc.udla.indexWoS
dc.udla.indexdc.udla.indexScience Citation Index Expanded
dc.udla.indexdc.udla.indexScopus
dc.udla.indexdc.udla.indexAcademic Search Ultimate
dc.udla.indexdc.udla.indexDOAJ
dc.udla.indexdc.udla.indexCAB Abstracts
dc.udla.indexdc.udla.indexEMBASE
dc.udla.indexdc.udla.indexMEDLINE
dc.identifier.doidc.identifier.doi10.3390/ijms231911065
dc.facultaddc.facultadFacultad de Medicina Veterinaria y Agronomía


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