David W. Ruff

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

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.

Expanding applications of protein analysis using proximity ligation and qPCR

The correlation of gene and protein expression changes in biological systems has been hampered by the need for separate sample handling and analysis platforms for nucleic acids and proteins. In contrast to the simple, rapid, and flexible workflow of quantitative PCR (qPCR) methods, which enable characterization of several classes of nucleic acid biomarkers (i.e. DNA, mRNA, and microRNAs), protein analysis methods such as Western blotting are cumbersome, laborious, and much less quantitative. However, TaqMan(R) Protein Assays, which use the proximity ligation assay (PLA) technology, now expand the range of qPCR applications to include the direct detection of proteins through the amplification of a surrogate DNA template after antibody binding. Here we describe an integrated qPCR approach for measuring relative changes in gene and protein expression from the same starting sample and on a single analytical platform that pairs TaqMan Gene Expression (GEx) Assays with TaqMan Protein Assays. We have monitored the changes in mRNA, microRNA, and protein expression of relevant biomarkers in the pluripotent human embryonal carcinoma cell line, NTERA2, upon differentiation to neuronal cells. In addition, TaqMan Protein Assays have been used to monitor protein expression in induced pluripotent stem cells (iPSC) that have been reprogrammed from human somatic cells. The data presented establishes a general paradigm utilizing real-time PCR instruments and reagents for studying the relationship between the stem cell transcriptome and proteome.

Normal and Functional TP53 in Genetically Stable Myxoid/Round Cell Liposarcoma

Myxoid/round-cell liposarcoma (MLS/RCLS) is characterized by either the fusion gene FUS-DDIT3 or the less commonly occurring EWSR1-DDIT3 and most cases carry few or no additional cytogenetic changes. There are conflicting reports concerning the status and role of TP53 in MLS/RCLS. Here we analysed four MLS/RCLS derived cell lines for TP53 mutations, expression and function. Three SV40 transformed cell lines expressed normal TP53 proteins. Irradiation caused normal posttranslational modifications of TP53 and induced P21 expression in two of these cell lines. Transfection experiments showed that the FUS-DDIT3 fusion protein had no effects on irradiation induced TP53 responses. Ion Torrent AmpliSeq screening, using the Cancer Hotspot panel, showed no dysfunctional or disease associated alleles/mutations. In conclusion, our results suggest that most MLS/RCLS cases carry functional TP53 genes and this is consistent with the low numbers of secondary mutations observed in this tumor entity.

Applications of Quantitative Polymerase Chain Reaction Protein Assays During Reprogramming

The capability to reprogram human somatic cells to induced pluripotent stem cells (iPSCs) has opened a new area of biology and provides unprecedented access to patient-specific iPSCs for drug screening, disease models, and transplantation therapies. Although the process of obtaining iPSC lines is technically simple, reprogramming is a slow and inefficient process consisting of a largely uncharacterized chain of molecular events. To date, researchers have reported a wide range of reprogramming efficiencies, from <0.01% to >1%, depending on the specific reprogramming factors used, the mode of delivery of the reprogramming factors, properties of the starting cells, and culture conditions. We have applied a quantitative polymerase chain reaction methodology, TaqMan Protein Assays to directly quantify the kinetics, and cellular levels of crucial transcription factors during the reprogramming process. Further, we have used the assays to ascertain the threshold levels of reprogramming protein factors required to generate iPSC colonies, to characterize the protein expression signatures of different iPSC lines, and to rapidly identify iPS versus non-iPSC colonies based on expression of pluripotency markers. These data demonstrate that TaqMan Protein Assays can be used as tools to dissect and gain greater understanding of the mechanisms guiding reprogramming and to further characterize individual established iPSC lines.