What methods are used for isolating ultra low bacterial biomass clinical specimens?
Best insight from top research papers
Isolating ultra-low bacterial biomass clinical specimens requires specialized techniques. Various methods have been explored in research to address this challenge. These methods include optimizing DNA extraction protocols, utilizing long-amplicon PCR-based approaches for increased taxonomic resolution, comparing the efficiency of different extraction methods on artificial urine samples spiked with low amounts of bacteria, and identifying stochastic sequencing noise in low-biomass samples to separate signal from noise during sequencing. Additionally, advancements in air sampling techniques and next-generation sequencing (NGS) methods have been crucial for characterizing low-biomass bioaerosol communities, especially in ultra-low-biomass environments. By integrating these diverse approaches, researchers can effectively isolate and analyze ultra-low bacterial biomass clinical specimens for a better understanding of microbial communities in challenging environments.
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| Papers (5) | Insight |
|---|---|
| High-volume filter-based or liquid-based air samplers compatible with NGS analysis are used to improve bioaerosol detection limits for ultra-low bacterial biomass clinical specimens. | |
| Methods for isolating ultra-low bacterial biomass clinical specimens include DNA purification, droplet digital PCR quantification, and sequencing the 16S rRNA gene to distinguish stochastic noise from contamination. | |
| The study compared five extraction methods and found that the BT kit was optimal for isolating ultra-low bacterial biomass clinical specimens from urine samples. | |
57 Citations | Long-amplicon PCR-based approaches using Nanopore sequencing with full-length 16S rRNA gene and 16S-ITS-23S region from the rrn operon are effective for profiling ultra-low bacterial biomass clinical specimens. |
9 Citations | Silica columns, prolonged mechanical lysing, and semi-nested PCR protocol are used for isolating ultra-low bacterial biomass clinical specimens for 16S rRNA gene analysis. |
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