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In JoVE (1)
- High Throughput MicroRNA Profiling: Optimized Multiplex qRT-PCR at Nanoliter Scale on the Fluidigm Dynamic ArrayTM IFCs
Other Publications (4)
Articles by Felix Moltzahn in JoVE
High Throughput MicroRNA Profiling: Optimized Multiplex qRT-PCR at Nanoliter Scale on the Fluidigm Dynamic ArrayTM IFCs
Felix Moltzahn1,2,3, Nathan Hunkapiller1,2,4, Alain A. Mir5, Tal Imbar1,2,6, Robert Blelloch1,2,3,7
1The Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California San Francisco, 2Center for Reproductive Sciences, University of California San Francisco, 3Department of Urology, University of California San Francisco, 4Department of Cell and Tissue Biology, University of California San Francisco, 5Fluidigm Corporation, Fluidigm Corporation, 6Department of Obstetrics and Gynecology, Hadassah-Hebrew University Medical Center, 7UCSF - Helen Diller Family Comprehensive Cancer Center, University of California San Francisco
Here we describe an optimized multiplex reverse transcriptase quantitative PCR (qRT-PCR) protocol in combination with a microfluidic platform as a cost and time effective high-throughput screening tool for microRNA (miRNA) expression levels, especially when working with limited amounts of sample.
Published August 3, 2011. Keywords: Bioengineering, microRNA, multiplex qRT-PCR, high throughput profiling, Fluidigm
Other articles by Felix Moltzahn on PubMed
Inhibition of Neointimal Proliferation with 188Re-labeled Self-expanding Nitinol Stent in a Sheep Model
Radiology. Dec, 2003 | Pubmed ID: 14657319
To evaluate a self-expanding rhenium 188 (188Re) radiochemically labeled radioactive stent in sheep.
Urologic Oncology. Nov-Dec, 2008 | Pubmed ID: 18818107
Following the initial identification of hematopoietic tumor stem cells, such cells were also found in several solid tumor types. In urology, cancer stem cells have only been found in prostate tumors so far. The concept and detection of tumor stem cells rely heavily on findings derived from stem cell research. Therefore, in addition to identifying and characterizing urologic tumor stem cells, research in uro-oncology should also aim at better understanding the stem-cell biology of urologic organs. Insights in similarities and differences gleaned from these studies could be used to develop strategies for targeted destruction of tumor stem cells while sparing the physiological stem cells. The main target of future curative therapies in uro-oncology must therefore be the central, immortal head of the Hydra, the tumor stem cell.
Current Biology : CB. Feb, 2010 | Pubmed ID: 20116247
Dicer, which is required for the processing of both microRNAs (miRNAs) and small interfering RNAs (siRNAs), is essential for oocyte maturation [1, 2]. Oocytes express both miRNAs and endogenous siRNAs (endo-siRNAs) [3, 4]. To determine whether the abnormalities in Dicer knockout oocytes during meiotic maturation are secondary to the loss of endo-siRNAs and/or miRNAs, we deleted Dgcr8, which encodes an RNA-binding protein specifically required for miRNA processing. In striking contrast to Dicer, Dgcr8-deficient oocytes matured normally and, when fertilized with wild-type sperm, produced healthy-appearing offspring, even though miRNA levels were reduced to similar levels as Dicer-deficient oocytes. Furthermore, the deletion of both maternal and zygotic Dgcr8 alleles did not impair preimplantation development, including the determination of the inner cell mass and trophectoderm. Most surprisingly, the mRNA profiles of wild-type and Dgcr8 null oocytes were essentially identical, whereas Dicer null oocytes showed hundreds of misregulated transcripts. These findings show that miRNA function is globally suppressed during oocyte maturation and preimplantation development and that endo-siRNAs, rather than miRNAs, underlie the Dicer knockout phenotype in oocytes.
Microfluidic-based Multiplex QRT-PCR Identifies Diagnostic and Prognostic MicroRNA Signatures in the Sera of Prostate Cancer Patients
Cancer Research. Jan, 2011 | Pubmed ID: 21098088
Recent prostate-specific antigen-based screening trials indicate an urgent need for novel and noninvasive biomarker identification strategies to improve the prediction of prostate cancer behavior. Noncoding microRNAs (miRNA) in the serum and plasma have been shown to have potential as noninvasive markers for physiologic and pathologic conditions. To identify serum miRNAs that diagnose and correlate with the prognosis of prostate cancer, we developed a multiplex quantitative reverse transcription PCR method involving the purification of multiplex PCR products followed by uniplex analysis on a microfluidics chip to evaluate 384 human miRNAs. Using Dgcr8 and Dicer knockout (small RNA-deficient) mouse ES cells as the benchmark, we confirmed the validity of our technique and uncovered a considerable lack of accuracy in previously published methods. Profiling 48 sera from healthy men and untreated prostate cancer patients with differing CAPRA scores, we identified miRNA signatures that allow us to diagnose cancer patients and correlate with a prognosis. These serum signatures include oncogenic and tumor-suppressive miRNAs, suggesting functional roles in prostate cancer progression.