Microfluidic molecular assay platform for the detection of miRNAs, mRNAs, proteins, and post-translational modifications at single-cell resolution [electronic resource].
- Washington, D.C. : United States. National Nuclear Security Administration, 2014.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy
- Physical Description:
- pages 587-592 : digital, PDF file
- Additional Creators:
- Sandia National Laboratories
United States. National Nuclear Security Administration
United States. Department of Energy. Office of Scientific and Technical Information
- In this study, cell signaling is a dynamic and complex process. A typical signaling pathway may begin with activation of cell surface receptors, leading to activation kinase cascade that culminates in induction of mRNA and non-coding miRNA production in the nucleus, followed by modulation of mRNA expression by miRNAs in the cytosol, and end with production of proteins in response to the signaling pathway. Signaling pathways involve proteins, miRNA, and mRNAs, along with various forms of transient post-translational modifications, and detecting each type of signaling molecule requires categorically different sample preparation methods such as Western blotting for proteins, PCR for nucleic acids, and flow cytometry for post-translational modifications. Since we know that cells in populations behave heterogeneously1, especially in the cases of stem cells, cancer, and hematopoiesis, there is need for a new technology that provides capability to detect and quantify multiple categories of signaling molecules in intact single cells to provide a comprehensive view of the cell’s physiological state. In this technical brief, we describe our microfluidic platform with a portfolio of customized molecular assays that can detect nucleic acids, proteins, and post-translational modifications in single intact cells with >95% reduction in reagent requirement in under 8 hours.
- Published through SciTech Connect.
Journal of Laboratory Automation 19 6 ISSN 2211-0682 AM
Meiye Wu; Anup K. Singh.
- Funding Information:
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