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Merck

MBD6000

5R-Plex kit

Ultra-sensitive 16S NGS assay for degraded and low biomass DNA

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この商品について

NACRES:
NA.84
UNSPSC Code:
41106302
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Quality Level

usage

Preparing 96 samples for sequencing

technique(s)

DNA amplification: suitable, DNA sequencing: suitable

shipped in

dry ice

storage temp.

-10 to -25°C

General description

The 16S ribosomal RNA gene (16S rRNA) is a common bacterial marker, used as a target for microbial community profiling in microbiome metagenomic studies. The gene is composed of nine variable regions (V1-V9) interspersed between conserved regions. The most common 16S rRNA NGS assays target one or two regions using a single set of primers (e.g., V3-V4). However, this approach usually results in a poor bacterial detection and classification rate when the DNA input is of low-quality or when applying it on extremely low biomass samples.  The 5R-PLEX kit offers a complete solution to challenging biological samples where the standard 16S sequencing protocols fail to perform.   Sample types include:
  • Formalin-Fixed, Paraffin-Embedded (FFPE) tissue
  • Cancerous tumor tissue 
  • Degraded or damaged DNA  
  • Low biomass samples 
  • Fossil-derived and ancient DNA
The 5R-PLEX kit was developed in collaboration with Dr. Ravid Straussman of the Weissmann Institute, based off a technique that was featured in his Science publication focused on the human tumor microbiome characterization (Science2020 May 29;368(6494):973-980. doi: 10.1126/science.aay9189) . The kit targets five short variable regions along the 16S rRNA gene (V2, V3, V5, V6, V8) that are co-amplified in a multiplexed PCR within a single tube.   After sequencing, the output data is uploaded to our M-CAMPTM platform (Microbiome Computational Analysis for Multi-omics Profiling) and analyzed using the unique 5R-PLEX algorithm[2]. This new analysis approach computationally combines the amplified regions to reconstruct one coherent high-resolution microbial profile. Read more about our kit here.

Features and Benefits

  • The 5R-PLEX Kit provides high profile sequencing from degraded, damaged or low biomass samples
  • Multiplexed NGS assay targets 5 variable regions of the 16S rRNA gene in a single primer pool
  • Includes positive control for trouble shooting experiments.
  • The kit can detect as low as 1pg of highly degraded bacterial DNA with an average fragment size of 260bp.
  • Kit includes low bioburden reagents
  • Includes exclusive access to M-CAMP platform featuring an innovative algorithm designed to reconstruct a single coherent microbial profiling and perform comprehensive analysis.

Preparation Note

The shelf life of all reagents provided in the kit is 12 months when stored properly. Store all components at -20 °C.

Other Notes

  • 5R-PLEX PCR1 Primer mix- 25 μL
  • 5R-PLEX PCR2 Forward Primer mix- 25 μL
  • 5R-PLEX index plate 96-plate
  • Water, microbial DNA-free 10X- 1.5 mL
  • HF DNA Polymerase- 0.1 mL
  • 5X HF buffer 2 mL
  • dNTP′s- 0.2 mL
  • Elution Buffer (EB), microbial DNA-free- 8 mL
  • 5R-PLEX Positive Control (10 ng/μL)- 30 μL
Kit component details can be found in the User guide.

Legal Information

M-Camp is a trademark of Merck KGaA, Darmstadt, Germany


hcodes

Hazard Classifications

Aquatic Chronic 3

保管分類

10 - Combustible liquids


適用法令

試験研究用途を考慮した関連法令を主に挙げております。化学物質以外については、一部の情報のみ提供しています。 製品を安全かつ合法的に使用することは、使用者の義務です。最新情報により修正される場合があります。WEBの反映には時間を要することがあるため、適宜SDSをご参照ください。

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Deborah Nejman et al.
Science (New York, N.Y.), 368(6494), 973-980 (2020-05-30)
Bacteria were first detected in human tumors more than 100 years ago, but the characterization of the tumor microbiome has remained challenging because of its low biomass. We undertook a comprehensive analysis of the tumor microbiome, studying 1526 tumors and
Amnon Amir et al.
Nucleic acids research, 41(22), e205-e205 (2013-11-12)
The emergence of massively parallel sequencing technology has revolutionized microbial profiling, allowing the unprecedented comparison of microbial diversity across time and space in a wide range of host-associated and environmental ecosystems. Although the high-throughput nature of such methods enables the
Nicole M Davis et al.
Microbiome, 6(1), 226-226 (2018-12-19)
The accuracy of microbial community surveys based on marker-gene and metagenomic sequencing (MGS) suffers from the presence of contaminants-DNA sequences not truly present in the sample. Contaminants come from various sources, including reagents. Appropriate laboratory practices can reduce contamination, but