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Expression analysis of multiple myeloma CD138 negative progenitor cells using single molecule microarray readout

We present a highly sensitive bioanalytical microarray assay that enables the analysis of small genomic sample material. By combining an optimized cDNA purification step with single molecule cDNA detection on the microarray, the platform has improved sensitivity compared to conventional systems, all...

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Detalles Bibliográficos
Autores principales: Jacak, Jaroslaw, Schnidar, Harald, Muresan, Leila, Regl, Gerhard, Frischauf, Annemarie, Aberger, Fritz, Schütz, Gerhard J., Hesse, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Science Publishers 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3632753/
https://www.ncbi.nlm.nih.gov/pubmed/23416329
http://dx.doi.org/10.1016/j.jbiotec.2013.01.027
Descripción
Sumario:We present a highly sensitive bioanalytical microarray assay that enables the analysis of small genomic sample material. By combining an optimized cDNA purification step with single molecule cDNA detection on the microarray, the platform has improved sensitivity compared to conventional systems, allowing amplification-free determination of expression profiles with as little as 600 ng total RNA. Total RNA from cells was reverse transcribed into fluorescently labeled cDNA and purified employing a precipitation method that minimizes loss of cDNA material. The microarray was scanned on a fluorescence chip-reader with single molecule sensitivity. Using the newly developed platform we were able to analyze the RNA expression profile of a subpopulation of rare multiple myeloma CD138 negative progenitor (MM CD138(neg)) cells. The high-sensitivity microarray approach led to the identification of a set of 20 genes differentially expressed in MM CD138(neg) cells. Our work demonstrates the applicability of a straight-forward single-molecule DNA array technology to current topics of molecular and cellular cancer research, which are otherwise difficult to address due to the limited amount of sample material.