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Identification of Distinct and Common Subpopulations of Myxoid Liposarcoma and Ewing Sarcoma Cells Using Self-Organizing Maps
dc.contributor.author | Forootan, Amin | |
dc.contributor.author | Andersson, Daniel | |
dc.contributor.author | Dolatabadi, Soheila | |
dc.contributor.author | Svec, David | |
dc.contributor.author | Andrade-Garda, José Manuel | |
dc.contributor.author | Ståhlberg, Anders | |
dc.date.accessioned | 2023-03-22T10:50:57Z | |
dc.date.available | 2023-03-22T10:50:57Z | |
dc.date.issued | 2023-01-14 | |
dc.identifier.citation | Forootan, 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/chemosensors11010067 | es_ES |
dc.identifier.issn | 2227-9040 | |
dc.identifier.uri | http://hdl.handle.net/2183/32735 | |
dc.description | This article belongs to the Special Issue Analytical and Computational Systems in Biosensing | es_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.sponsorship | This 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 Research | es_ES |
dc.description.sponsorship | Swedish Cancer Society; 19-0306 | es_ES |
dc.description.sponsorship | Swedish Cancer Society; 22-2080 | es_ES |
dc.description.sponsorship | Swedish Childhood Cancer Foundation; 2020-007 | es_ES |
dc.description.sponsorship | Swedish Childhood Cancer Foundation; 2022-0030 | es_ES |
dc.description.sponsorship | Swedish Childhood Cancer Foundation; MTI2019-0008 | es_ES |
dc.description.sponsorship | Swedish Research Council; 2021-01008 | es_ES |
dc.description.sponsorship | Government of Sweden; ALF-agreement 965065 | es_ES |
dc.description.sponsorship | Sweden’s Innovation Agency; 2018-00421 | es_ES |
dc.description.sponsorship | Sweden’s Innovation Agency; 2020-04141 | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | MDPI | es_ES |
dc.relation.uri | https://doi.org/10.3390/chemosensors11010067 | es_ES |
dc.rights | Atribución 4.0 Internacional | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.subject | Ewing sarcoma | es_ES |
dc.subject | Myxoid liposarcoma | es_ES |
dc.subject | Self-organizing maps | es_ES |
dc.subject | Single-cell analysis | es_ES |
dc.subject | Unsupervised grouping | es_ES |
dc.title | Identification of Distinct and Common Subpopulations of Myxoid Liposarcoma and Ewing Sarcoma Cells Using Self-Organizing Maps | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.access | info:eu-repo/semantics/openAccess | es_ES |
UDC.journalTitle | Chemosensors | es_ES |
UDC.volume | 11 (2023) | es_ES |
UDC.issue | 1 | es_ES |
UDC.startPage | 67 | es_ES |
dc.identifier.doi | 10.3390/chemosensors11010067 |
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