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A novel approach to detecting RNA expression in living cancer cells
Author(s) -
Weldon Don,
Ko Alex,
Williams Yuko,
Hsu Matthew,
Johnston Grace
Publication year - 2013
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.27.1_supplement.777.3
Subject(s) - rna , computational biology , false positive paradox , gene expression , microrna , biology , gene , computer science , genetics , artificial intelligence
Elucidation of cellular regulation or disregulation can be monitored through a cells RNA expression levels. The ability to monitor gene expression within living cells that have become cancerous could provide better insight than examining fixed or lysed tissues when studying the complexities of cancerous biomarkers. However, monitoring RNA within intact cells can prove to be challenging with current techniques due to complex or harmful sample preparation techniques. Further, amplification methods can create false positives or erroneously inflate differences. Changes in RNA levels overtime are also impossible to detect without the use of duplicate samples. Here we describe the ability to detect specific RNA targets within living cells without the need for sample prep in real time. This technique also allows for the unique ability to reuse the cells following detection for additional experiments.