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Titel: Development of an Enzyme-Linked Immunosorbent Assay (ELISA) for the Quantification of ARID1A in Tissue Lysates
VerfasserIn: Hinsberger, Manuel
Becker-Kettern, Julia
Jürgens-Wemheuer, Wiebke M.
Oertel, Joachim
Schulz-Schaeffer, Walter J.
Sprache: Englisch
Titel: Cancers
Bandnummer: 15
Heft: 16
Verlag/Plattform: MDPI
Erscheinungsjahr: 2023
Freie Schlagwörter: ARID1A
ELISA
western blot
SWI/SNF complex
BAF complex
gynecologic tumors
DDC-Sachgruppe: 610 Medizin, Gesundheit
Dokumenttyp: Journalartikel / Zeitschriftenartikel
Abstract: ARID1A is a subunit of the mammalian SWI/SNF complex, which is thought to regulate gene expression through restructuring chromatin structures. Its gene ARID1A is frequently mutated and ARID1A levels are lowered in several human cancers, especially gynecologic ones. A functional ARID1A loss may have prognostic or predictive value in terms of therapeutic strategies but has not been proposed based on a quantitative method. Hardly any literature is available on ARID1A levels in tumor samples. We developed an indirect enzyme-linked immunosorbent assay (ELISA) for ARID1A based on the current EMA and FDA criteria. We demonstrated that our ELISA provides the objective, accurate, and precise quantification of ARID1A concentrations in recombinant protein solutions, cell culture standards, and tissue lysates of tumors. A standard curve analysis yielded a ‘goodness of fit’ of R2 = 0.99. Standards measured on several plates and days achieved an inter-assay accuracy of 90.26% and an inter-assay precision with a coefficient of variation of 4.53%. When tumor lysates were prepared and measured multiple times, our method had an inter-assay precision with a coefficient of variation of 11.78%. We believe that our suggested method ensures a high reproducibility and can be used for a high sample throughput to determine the ARID1A concentration in different tumor entities. The application of our ELISA on various tumor and control tissues will allow us to explore whether quantitative ARID1A measurements in tumor samples are of predictive value.
DOI der Erstveröffentlichung: 10.3390/cancers15164096
URL der Erstveröffentlichung: https://doi.org/10.3390/cancers15164096
Link zu diesem Datensatz: urn:nbn:de:bsz:291--ds-403906
hdl:20.500.11880/36311
http://dx.doi.org/10.22028/D291-40390
ISSN: 2072-6694
Datum des Eintrags: 28-Aug-2023
Bezeichnung des in Beziehung stehenden Objekts: Supplementary Materials
In Beziehung stehendes Objekt: https://www.mdpi.com/article/10.3390/cancers15164096/s1
Fakultät: M - Medizinische Fakultät
Fachrichtung: M - Neurochirurgie
M - Neuropathologie
Professur: M - Prof. Dr. Joachim Oertel
M - Prof. Dr. Walter Schulz-Schaeffer
Sammlung:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons Creative Commons