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Ensuring good quality rna for quantitative real-time pcr isolated from renal proximal tubular cells using laser capture microdissection

Overview of attention for article published in BMC Research Notes, January 2014
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Title
Ensuring good quality rna for quantitative real-time pcr isolated from renal proximal tubular cells using laser capture microdissection
Published in
BMC Research Notes, January 2014
DOI 10.1186/1756-0500-7-62
Pubmed ID
Authors

Jie Yin Yee, Lie Michael George Limenta, Keith Rogers, Susan Mary Rogers, Vanessa SY Tay, Edmund JD Lee

Abstract

In order to provide gene expression profiles of different cell types, the primary step is to isolate the specific cells of interest via laser capture microdissection (LCM), followed by extraction of good quality total RNA sufficient for quantitative real-time polymerase chain reaction (qPCR) analysis. This LCM-qPCR strategy has allowed numerous gene expression studies on specific cell populations, providing valuable insights into specific cellular changes in diseases. However, such strategy imposed challenges as cells of interests are often available in limited quantities and quality of RNA may be compromised during long periods of time spent on collection of cells and extraction of total RNA; therefore, it is crucial that protocols for sample preparation should be optimised according to different cell populations.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
Unknown 27 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 25%
Student > Postgraduate 4 14%
Student > Master 3 11%
Researcher 3 11%
Student > Bachelor 3 11%
Other 4 14%
Unknown 4 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 36%
Biochemistry, Genetics and Molecular Biology 6 21%
Medicine and Dentistry 2 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Environmental Science 1 4%
Other 5 18%
Unknown 3 11%