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PrimeTime™ Research Panels‑Tick

Identify targets commonly associated with North American Tick Infections (NA Tick)

Leverage the speed and accuracy of qPCR/dPCR to provide rapid identification of pathogens for North American tick infection research.

Select the targets you need.

Ordering

These panels offer:

  • Build with flexibility: Pick and choose only the pathogen targets you want.
  • Save time with predesigned panels: Market-proven predesigned sequences that ship quickly.
  • Reduce cost and increase capacity with multiplexing: Multiple dye options to enhance capacity while reducing both costs and turnaround times.

North American tick

Tick borne pathogens are responsible for diseases such as Lyme disease, anaplasmosis, and babesiosis [1]. The Centers for Disease Control and Prevention (CDC) reports that Lyme disease alone affects over 300,000 individuals annually in the United States, making these targets an active area for research [2].

Common pathogens associated with North American ticks include:

  • Borrelia burgdorferi, Anaplasma phagocytophilum, Babesia microti, and Ehrlichia chaffeensis

For a complete list of targets, please see the Order Table below.

The PrimeTime™ Research Pathogen Universal Control is not currently available in Canada. Please reach out to your local sales representative for more information.

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Product details

PrimeTime Research Pathogen Panels are market-proven, pre-designed target sequences that consist of a forward primer(s), a reverse primer(s), and a qPCR probe(s) delivered in a single tube.

Dyes available for convenient multiplexing: FAM, SUN™, Cy®5 and Texas Red™

Each oligonucleotide undergoes QC by mass spectrometry.

† With the exception of mixed base oligos, which could potentially represent multiple sequences and therefore cannot be accurately evaluated by ESI mass spectrometry.

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References

  1. Centers for Disease Control and Prevention. Lyme Disease Data. CDC - Lyme Disease
  2. Parker, J. L., et al. Trends in the incidence of tick-borne diseases in the United States: 2000-2014. PLOS ONE. 2016;11(4):e0152743.
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