- Product Description
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Details
- Optimized lysis for tough samples – Isolate pure DNA from stool, gut material, and biosolids
- Inhibitor Removal Technology - Eliminates inhibitory substances, including lipids, polysaccharides and heme, for DNA that is ready to use in PCR, qPCR, Sanger sequencing and NGS
- Rapid protocol - Enables isolation of high quality, pure DNA from 250 mg samples in just 30 minutes
The QIAamp PowerFecal DNA Kit is designed for fast and easy purification of DNA from samples high in PCR inhibitors; including stool, gut material, and biosolids. Patented Inhibitor Removal Technology ensures complete removal of inhibitory substances from digested food, heme from lysed red blood cells abundant in stool, and other PCR inhibitors. The DNA isolated is high quality and ready to use in the most demanding downstream applications, including PCR, qPCR, Sanger sequencing and NGS. The QIAamp PowerFecal DNA Kit can be used interchangeably with the DNeasy PowerSoil Kit – both kits can be used to isolate DNA from soil, environmental, stool, gut and biosolid samples.
Formerly known as the PowerFecal DNA Isolation Kit.
- Specs
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Specs
Format Silica Spin Filter Tubes Method Bead Beating Sample Size 0.25 g Binding Capacity Up to 20 µg per filter Throughput 1-24 samples Time 30 minutes Storage Store at room temperature (15-30°C) Bead Type 0.7 mm garnet Sample Types Processed Stool, gut material, biosolids, soil Equipment Required Vortex and Vortex Adapter (13000-V1-24) Catalog # 12830-50, 12830-S Old Name PowerFecal DNA Isolation Kit - SDS/Protocol
- Publications
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Publications
Formerly known as the PowerFecal DNA Isolation Kit.
- Frank, D., Bales, E., Monks, J., Jackman, M., MacLean, P., & Ir, D. et al. (2015). Perilipin-2 Modulates Lipid Absorption and Microbiome Responses in the Mouse Intestine. PLOS ONE, 10(7), e0131944. http://dx.doi.org/10.1371/journal.pone.0131944
- Johnson, L., Walton, G., Psichas, A., Frost, G., Gibson, G., & Barraclough, T. (2015). Prebiotics Modulate the Effects of Antibiotics on Gut Microbial Diversity and Functioning in Vitro. Nutrients, 7(6), 4480-4497. http://dx.doi.org/10.3390/nu7064480
- Vecherskii, M., Kuznetsova, T., & Stepan'kov, A. (2015). Activity of urealytic microorganisms in the gastrointestinal tract of the black grouse Lyrurus tetrix. Dokl Biol Sci, 462(1), 131-133. http://dx.doi.org/10.1134/s0012496615030060
- Petriz, B., Castro, A., Almeida, J., Gomes, C., Fernandes, G., & Kruger, R. et al. (2014). Exercise induction of gut microbiota modifications in obese, non-obese and hypertensive rats. BMC Genomics, 15(1), 511. http://dx.doi.org/10.1186/1471-2164-15-511
- Tong, M., McHardy, I., Ruegger, P., Goudarzi, M., Kashyap, P., & Haritunians, T. et al. (2014). Reprograming of gut microbiome energy metabolism by the FUT2 Crohn's disease risk polymorphism. The ISME Journal, 8(11), 2193-2206. http://dx.doi.org/10.1038/ismej.2014.64
- Kong, F., Zhao, J., Han, S., Zeng, B., Yang, J., & Si, X. et al. (2014). Characterization of the Gut Microbiota in the Red Panda (Ailurus fulgens). Plos ONE, 9(2), e87885. doi:10.1371/journal.pone.0087885
- Belzer, C., Gerber, G., Roeselers, G., Delaney, M., DuBois, A., & Liu, Q. et al. (2014). Dynamics of the Microbiota in Response to Host Infection. Plos ONE, 9(7), e95534. http://dx.doi.org/10.1371/journal.pone.0095534
- Marcobal, A., Kashyap, P., Nelson, T., Aronov, P., Donia, M., & Spormann, A. et al. (2013). A metabolomic view of how the human gut microbiota impacts the host metabolome using humanized and gnotobiotic mice. The ISME Journal, 7(10), 1933-1943. http://dx.doi.org/10.1038/ismej.2013.89