4.7 Article

Quantitative PCR Analysis of DNA, RNAs, and Proteins in the Same Single Cell

Journal

CLINICAL CHEMISTRY
Volume 58, Issue 12, Pages 1682-1691

Publisher

AMER ASSOC CLINICAL CHEMISTRY
DOI: 10.1373/clinchem.2012.191445

Keywords

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Funding

  1. Swedish Research Council [2367]
  2. Swedish Society for Medical Research
  3. Johan Jansson Foundation for Cancer Research
  4. Assar Gabrielssons Research Foundation
  5. Wilhelm and Martina Lundgren Foundation for Scientific Research
  6. Swedish Cancer Society

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BACKGROUND: The single cell represents the basic unit of all organisms. Most investigations have been performed on large cell populations, but understanding cell dynamics and heterogeneity requires single-cell analysis. Current methods for single-cell analysis generally can detect only one class of analytes. METHODS: Reverse transcription and the proximity ligation assay were coupled with quantitative PCR and used to quantify any combination of DNA, mRNAs, microRNAs (miRNAs), noncoding RNAs (ncRNAs), and proteins from the same single cell. The method was used on transiently transfected human cells to determine the intracellular concentrations of plasmids, their transcribed mRNAs, translated proteins, and downstream RNA targets. RESULTS: We developed a whole-cell lysis buffer to release unfractionated DNA, RNA, and proteins that would not degrade any detectable analyte or inhibit the assay. The dynamic range, analytical sensitivity, and specificity for quantifying DNA, mRNAs, miRNAs, ncRNAs, and proteins were shown to be accurate down to the single-cell level. Correlation studies revealed that the intracellular concentrations of plasmids and their transcribed mRNAs were correlated only moderately with translated protein concentrations (Spearman correlation coefficient, 0.37 and 0.31, respectively; P < 0.01). In addition, an ectopically expressed gene affected the correlations between analytes and this gene, which is related to gene regulation. CONCLUSIONS: This method is compatible with most cell-sampling approaches, and generates output for the same parameter for all measured analytes, a feature facilitating comparative data analysis. This approach should open up new avenues in molecular diagnostics for detailed correlation studies of multiple and different classes of analytes at the single-cell level. (C) 2012 American Association for Clinical Chemistry

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