Please use this identifier to cite or link to this item: http://doi.org/10.25358/openscience-245
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dc.contributor.authorGeiß, Carsten-
dc.contributor.authorAlanis-Lobato, Gregorio-
dc.contributor.authorAndrade, Miguel-
dc.contributor.authorRégnier-Vigouroux, Anne-
dc.date.accessioned2019-12-20T10:30:38Z-
dc.date.available2019-12-20T11:30:38Z-
dc.date.issued2019-
dc.identifier.urihttps://openscience.ub.uni-mainz.de/handle/20.500.12030/247-
dc.description.abstractTumor-derived primary cells are essential for in vitro and in vivo studies of tumor biology. The scarcity of this cellular material limits the feasibility of experiments or analyses and hence hinders basic and clinical research progress. We set out to determine the minimum number of cells that can be analyzed with standard laboratory equipment and that leads to reliable results, unbiased by cell number. A proof-of-principle study was conducted with primary human monocyte-derived macrophages, seeded in decreasing number and constant cell density. Gene expression of cells stimulated to acquire opposite inflammatory states was analyzed by quantitative PCR. Statistical analysis indicated the lack of significant difference in the expression profile of cells cultured at the highest (100,000 cells) and lowest numbers (3,610 cells) tested. Gene Ontology, pathway enrichment and network analysis confirmed the reliability of the data obtained with the lowest cell number. This statistical and computational analysis of gene expression profiles indicates that low cell number analysis is as dependable and informative as the analysis of a larger cell number. Our work demonstrates that it is possible to employ samples with a scarce number of cells in experimental studies and encourages the application of this approach on other cell types.en_GB
dc.description.sponsorshipDFG, Open Access-Publizieren Universität Mainz / Universitätsmedizin-
dc.language.isoeng-
dc.rightsCC BYde_DE
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.subject.ddc570 Biowissenschaftende_DE
dc.subject.ddc570 Life sciencesen_GB
dc.titleAssessing the reliability of gene expression measurements in very-low-numbers of human monocyte-derived macrophagesen_GB
dc.typeZeitschriftenaufsatzde_DE
dc.identifier.urnurn:nbn:de:hebis:77-publ-594849-
dc.identifier.doihttp://doi.org/10.25358/openscience-245-
jgu.type.dinitypearticle-
jgu.type.versionPublished versionen_GB
jgu.type.resourceText-
jgu.organisation.departmentFB 10 Biologie-
jgu.organisation.number7970-
jgu.organisation.nameJohannes Gutenberg-Universität Mainz-
jgu.rights.accessrightsopenAccess-
jgu.journal.titleScientific reports-
jgu.journal.volume9-
jgu.pages.alternativeArt. 17908-
jgu.publisher.year2019-
jgu.publisher.nameMacmillan Publishers Limited, part of Springer Nature-
jgu.publisher.placeLondon-
jgu.publisher.urihttp://dx.doi.org/10.1038/s41598-019-54500-8-
jgu.publisher.issn2045-2322-
jgu.notes.publicAndrade, Miguel veröffentlicht unter: Andrade-Navarro, Miguelde_DE
jgu.organisation.placeMainz-
jgu.subject.ddccode570-
opus.date.accessioned2019-12-20T10:30:38Z-
opus.date.modified2019-12-20T10:47:46Z-
opus.date.available2019-12-20T11:30:38-
opus.subject.dfgcode00-000-
opus.organisation.stringFB 10: Biologie: Institut für Organismische und Molekulare Evolutionsbiologiede_DE
opus.organisation.stringFB 10: Biologie: Institut für Entwicklungsbiologie und Neurobiologiede_DE
opus.identifier.opusid59484-
opus.institute.number1011-
opus.institute.number1012-
opus.metadataonlyfalse-
opus.type.contenttypeKeinede_DE
opus.type.contenttypeNoneen_GB
opus.affiliatedGeiß, Carsten-
opus.affiliatedAndrade, Miguel-
opus.affiliatedRégnier-Vigouroux, Anne-
jgu.publisher.doi10.1038/s41598-019-54500-8
jgu.organisation.rorhttps://ror.org/023b0x485
Appears in collections:JGU-Publikationen

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