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dc.contributor.authorForootan, Amin
dc.contributor.authorAndersson, Daniel
dc.contributor.authorDolatabadi, Soheila
dc.contributor.authorSvec, David
dc.contributor.authorAndrade-Garda, José Manuel
dc.contributor.authorStåhlberg, Anders
dc.date.accessioned2023-03-22T10:50:57Z
dc.date.available2023-03-22T10:50:57Z
dc.date.issued2023-01-14
dc.identifier.citationForootan, A.; Andersson, D.; Dolatabadi, S.; Svec, D.; Andrade, J.; Ståhlberg, A. Identification of Distinct and Common Subpopulations of Myxoid Liposarcoma and Ewing Sarcoma Cells Using Self-Organizing Maps. Chemosensors 2023, 11, 67. https://doi.org/10.3390/chemosensors11010067es_ES
dc.identifier.issn2227-9040
dc.identifier.urihttp://hdl.handle.net/2183/32735
dc.descriptionThis article belongs to the Special Issue Analytical and Computational Systems in Biosensinges_ES
dc.description.abstract[Abstract] Myxoid liposarcoma and Ewing sarcoma are the two most common tumor types that are characterized by the FET (FUS, EWSR1 and TAF15) fusion oncogenes. These FET fusion oncogenes are considered to have the same pathological mechanism. However, the cellular similarities between cells from the different tumor entities remain unknown. Here, we profiled individual myxoid liposarcoma and Ewing sarcoma cells to determine common gene expression signatures. Five cell lines were analyzed, targeting 76 different genes. We employed unsupervised clustering, focusing on self-organizing maps, to identify biologically relevant subpopulations of tumor cells. In addition, we outlined the basic concepts of self-organizing maps. Principal component analysis and a t-distributed stochastic neighbor embedding plot showed gradual differences among all cells. However, we identified five distinct and robust subpopulations using self-organizing maps. Most cells were similar to other cells within the same tumor entity, but four out of five groups contained both myxoid liposarcoma and Ewing sarcoma cells. The major difference between the groups was the overall transcriptional activity, which could be linked to cell cycle regulation. We conclude that self-organizing maps are useful tools to define biologically relevant subpopulations and that myxoid liposarcoma and Ewing sarcoma exhibit cells with similar gene expression signatures.es_ES
dc.description.sponsorshipThis research was funded by Assar Gabrielsson’s Research Foundation; the Johan Jansson Foundation for Cancer Research; Region Västra Götaland, Sweden; the Swedish Cancer Society (19-0306 and 22-2080); the Swedish Childhood Cancer Foundation (2020-007, 2022-0030 and MTI2019-0008); the Swedish Research Council (2021-01008); the Swedish state under the agreement between the Swedish government and the county councils, the ALF-agreement (965065); Sweden’s Innovation Agency (2018-00421 and 2020-04141); the Sjöberg Foundation; and the Wilhelm and Martina Lundgren Foundation for Scientific Researches_ES
dc.description.sponsorshipSwedish Cancer Society; 19-0306es_ES
dc.description.sponsorshipSwedish Cancer Society; 22-2080es_ES
dc.description.sponsorshipSwedish Childhood Cancer Foundation; 2020-007es_ES
dc.description.sponsorshipSwedish Childhood Cancer Foundation; 2022-0030es_ES
dc.description.sponsorshipSwedish Childhood Cancer Foundation; MTI2019-0008es_ES
dc.description.sponsorshipSwedish Research Council; 2021-01008es_ES
dc.description.sponsorshipGovernment of Sweden; ALF-agreement 965065es_ES
dc.description.sponsorshipSweden’s Innovation Agency; 2018-00421es_ES
dc.description.sponsorshipSweden’s Innovation Agency; 2020-04141es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.relation.urihttps://doi.org/10.3390/chemosensors11010067es_ES
dc.rightsAtribución 4.0 Internacionales_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectEwing sarcomaes_ES
dc.subjectMyxoid liposarcomaes_ES
dc.subjectSelf-organizing mapses_ES
dc.subjectSingle-cell analysises_ES
dc.subjectUnsupervised groupinges_ES
dc.titleIdentification of Distinct and Common Subpopulations of Myxoid Liposarcoma and Ewing Sarcoma Cells Using Self-Organizing Mapses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.journalTitleChemosensorses_ES
UDC.volume11 (2023)es_ES
UDC.issue1es_ES
UDC.startPage67es_ES
dc.identifier.doi10.3390/chemosensors11010067


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