3.9 Article

Pre-amplification in the context of high-throughput qPCR gene expression experiment

期刊

BMC MOLECULAR BIOLOGY
卷 16, 期 -, 页码 -

出版社

BMC
DOI: 10.1186/s12867-015-0033-9

关键词

High-throughput qPCR; Exponential pre-amplification; Microfluidics; Gene expression; Fluidigm; BioMark; Degraded samples; FFPE

资金

  1. ERDF [BIOCEV CZ.1.05/1.1.00/02.0109]
  2. Go8 Fellowship Australia [CZ: GACR: P304/12/1585, CZ: GACR: GA15-08239S, CZ: GACR: P303/13/02154S]

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Background: With the introduction of the first high-throughput qPCR instrument on the market it became possible to perform thousands of reactions in a single run compared to the previous hundreds. In the high-throughput reaction, only limited volumes of highly concentrated cDNA or DNA samples can be added. This necessity can be solved by pre-amplification, which became a part of the high-throughput experimental workflow. Here, we focused our attention on the limits of the specific target pre-amplification reaction and propose the optimal, general setup for gene expression experiment using BioMark instrument (Fluidigm). Results: For evaluating different pre-amplification factors following conditions were combined: four human blood samples from healthy donors and five transcripts having high to low expression levels; each cDNA sample was pre-amplified at four cycles (15, 18, 21, and 24) and five concentrations (equivalent to 0.078 ng, 0.32 ng, 1.25 ng, 5 ng, and 20 ng of total RNA). Factors identified as critical for a success of cDNA pre-amplification were cycle of pre-amplification, total RNA concentration, and type of gene. The selected pre-amplification reactions were further tested for optimal Cq distribution in a BioMark Array. The following concentrations combined with pre-amplification cycles were optimal for good quality samples: 20 ng of total RNA with 15 cycles of pre-amplification, 20x and 40x diluted; and 5 ng and 20 ng of total RNA with 18 cycles of pre-amplification, both 20x and 40x diluted. Conclusions: We set up upper limits for the bulk gene expression experiment using gene expression Dynamic Array and provided an easy-to-obtain tool for measuring of pre-amplification success. We also showed that variability of the pre-amplification, introduced into the experimental workflow of reverse transcription-qPCR, is lower than variability caused by the reverse transcription step.

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