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Applied Biosystems Introduce High-Quality Data Real-Time PCR Technology
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Applied Biosystems, an Applera Corporation business, has announced an instrument system for conducting genetic and genomic analysis experiments using real-time PCR technology.
The StepOne™ Real-Time PCR System was developed in response to the growing market of researchers interested in lower throughput applications of real-time PCR. The StepOne system can provide researchers with a highly-functional way to conduct real-time PCR experiments.
"As an academic lab, budget considerations greatly influence decisions we make about how to equip our laboratory. Until now, researchers in our lab have had to share a real-time PCR instrument with multiple labs. However, this limits access to the instrument," said Scott Briggs, Ph.D., assistant professor, Biochemistry, Purdue University, who is one of the early users of the StepOne system.
"The StepOne system offers us an affordable way to incorporate our own real-time PCR instrument into our lab without compromising the data quality or flexibility we've come to expect from Applied Biosystems’ real-time PCR systems. In addition, the new and intuitive software will allow us to easily expand the use of real-time PCR in our gene expression studies."
According to the Company, the StepOne system can be used in a variety of laboratory applications that include gene expression, viral load, and genotyping. When scientists use the system to investigate how changes in expression levels of key genes impact biological processes, they will benefit from a technology that simultaneously copies and determines the amount of target DNA or RNA sequences present in samples.
“Applied Biosystems developed the StepOne System to enable a broader range of life scientists to experience the benefit of real-time PCR based upon their specific laboratory environment and research objectives,” said Mark Stevenson, president of Applied Biosystems molecular and cell biology division.
“We expect that the combination of functionality, low throughput and ease of use will make this technology increasingly accessible to the growing number of researchers who are interested in its quantitative results.”
