Stool Qpcr
Stool Qpcr - Related Videos
09:57
Quantifying Environmental Microorganisms and Viruses Using qPCR
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2023
Source: Laboratories of Dr. Ian Pepper and Dr. Charles Gerba - The University of Arizona Demonstrating Author: Bradley Schmitz Quantitative polymerase chain reaction (qPCR), also known as real-time PCR, is a widely-used molecular technique for enumerating microorganisms in the environment. Prior to this approach, quantifying microorganisms was limited largely to classical culture-based techniques. However, the culturing of microbes from environmental samples can be particularly challenging, and...
09:21
Quantitative Real-Time PCR using the Thermo Scientific Solaris qPCR Assay
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Cited by 3 •
2010
The Solaris qPCR Gene Expression Assays are novel pre-designed qPCR primer/probe combinations designed to simplify the qPCR process without sacrificing the specificity and robustness of the assay.
15:16
Detection and Genogrouping of Noroviruses from Children's Stools By Taqman One-step RT-PCR
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Cited by 13 •
2012
A One-Step RT-PCR assay for detection and genogroup identification of Norovirus isolates from children’s stools, that utilizes primers and TaqMan probes specific to the open reading frame 1 (ORF1)-ORF2 junction region, the most conserved region of the Norovirus genome is described. A non-commercial, cost-effective RNA extraction method is detailed.
03:46
Stool Microbial DNA Isolation: Studying the Effect of Environmental Enrichment on Microbiome Diversity in Murine Tumor Model
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2023
This video describes DNA isolation protocol from stool samples of colon tumor-bearing mice. The extracted DNA is amplified using PCR, and the product is further cleaned using a magnetic beads-based approach. This method can be used to determine the effect of environmental enrichment on colon microbiota and animal mortality.
12:32
EPA Method 1615. Measurement of Enterovirus and Norovirus Occurrence in Water by Culture and RT-qPCR. Part III. Virus Detection by RT-qPCR
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Cited by 13 •
2016
Here we present a procedure to quantify enterovirus and norovirus in environmental and drinking waters using reverse transcription-quantitative PCR. Mean virus recovery from groundwater with this standardized procedure from EPA Method 1615 was 20% for poliovirus and 30% for murine norovirus.
FAQs
Selectivity comes from the chosen primers and fluorescent probes or dyes, which focus amplification and signal generation on pathogen-specific genetic sequences. This design allows a fecal sample to be examined for a particular bacterial, viral, or parasitic target rather than treating all nucleic acids as equivalent. The resulting signal therefore reflects the selected target’s amplification.
The cycle threshold adds a quantitative dimension to detection. It indicates when fluorescence associated with amplification reaches the measurement threshold, and the value helps estimate how much target nucleic acid was present at the start. In infection studies, that estimate can support comparisons of pathogen burden across fecal samples or across time points, provided the same target is assessed.
Stool qPCR becomes especially informative in immunology and infection when molecular measurements are interpreted alongside host responses. Detecting and estimating a pathogen target provides a microbial measurement that can be related to immune-response data and disease outcomes. Repeated measurements can help researchers examine whether changes in pathogen burden occur alongside changes in the host response during infection.
Nucleic acid extraction is the first enabling step in the stated workflow: it prepares material from the fecal sample for targeted amplification. The assay then applies repeated thermal cycling, while fluorescent probes or dyes produce a measurable signal as amplified material accumulates. Keeping these stages conceptually separate helps researchers distinguish sample preparation from target detection and measurement.
It can be applied to bacterial, viral, and parasitic agents in gastrointestinal infection studies. The target selected for the assay determines which pathogen-specific sequence is evaluated, so the result is tied to that chosen organism or target rather than to infection in general. This makes the technique useful when investigations compare different infectious causes or focus on a defined pathogen.
Tracking the measured target over time can show how pathogen burden changes during infection or treatment. Those longitudinal results provide more than a single detection event: they can reveal whether the microbial signal rises, falls, or remains detectable at successive sampling points. Researchers can then relate these patterns to treatment course and disease outcomes in infection studies.