High-throughput Pcr
High-throughput Pcr - Related Videos
14:07
Genome-wide Gene Deletions in Streptococcus sanguinis by High Throughput PCR
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Cited by 9 •
2012
An efficient genome-wide single gene mutation method has been established using Streptococcus sanguinis as a model organism. This method has achieved via high throughput recombinant PCRs and transformations.
07:00
qPCRTag Analysis - A High Throughput, Real Time PCR Assay for Sc2.0 Genotyping
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Cited by 18 •
2015
Designer chromosomes of the Synthetic Yeast Genome project, Sc2.0, can be distinguished from their native counterparts using a PCR-based genotyping assay called PCRTagging, which has a presence/absence endpoint. Here we describe a high-throughput real time PCR detection method for PCRTag genotyping.
11:00
High-throughput Detection of Respiratory Pathogens in Animal Specimens by Nanoscale PCR
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Cited by 11 •
2016
High-throughput testing of DNA and RNA based pathogens by nanoscale PCR is described using a syndromic canine and equine respiratory PCR panel.
08:25
Using a Fluorescent PCR-capillary Gel Electrophoresis Technique to Genotype CRISPR/Cas9-mediated Knockout Mutants in a High-throughput Format
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Cited by 6 •
2017
The genotyping technique described here, which couples fluorescent polymerase chain reaction (PCR) to capillary gel electrophoresis, allows for high-throughput genotyping of nuclease-mediated knockout clones. It circumvents limitations faced by other genotyping techniques and is more cost effective than sequencing methods.
10:00
High-throughput Quantitative Real-time RT-PCR Assay for Determining Expression Profiles of Types I and III Interferon Subtypes
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Cited by 2 •
2015
This protocol describes a high-throughput qRT-PCR assay for the analysis of type I and III IFN expression signatures. The assay discriminates single base pair differences between the highly similar transcripts of these genes. Through batch assembly and robotic pipetting, the assays are consistent and reproducible.
FAQs
Sequence-specific primers determine which DNA regions are copied because they bind complementary target sequences before polymerase extends them. In a high-throughput format, using primer sets across many wells or multiplex reactions lets investigators interrogate selected loci systematically. Primer choice therefore controls assay specificity and determines whether the resulting copies reflect the intended genetic target.
Each cycle contributes a defined stage to target copying: denaturation, primer annealing, and extension by a thermostable DNA polymerase. Repeating this sequence drives production of millions of copies from selected templates. Consistent cycling across wells is therefore central to comparing many reactions in a single high-throughput experiment.
Automation and plate-based organization increase capacity by allowing many reactions to be prepared and processed in parallel. Automated liquid handling reduces hands-on time, while multiwell plates provide a structured format for large sets of samples or targets. Multiplex assay designs can further combine analyses, and the overall approach can reduce reagent use.
A typical workflow starts by assigning DNA templates and sequence-specific primers to reactions, then combining them with a thermostable DNA polymerase. Automated liquid handling can distribute these preparations into multiwell plates, where repeated PCR cycles process many samples or targets in parallel. The resulting amplified material supports downstream genetic analysis.
Researchers select High-throughput PCR when they need genetic information from many targets or samples efficiently. Supported uses include pathogen detection, genotyping, gene expression studies, mutation screening, and large-scale biological surveys. The parallel format helps organize these investigations systematically, making it practical to look for patterns across broad collections rather than isolated reactions.
Its value extends across cells, organisms, and environmental samples, where researchers can apply targeted genetic analysis to diverse biological sources. The resulting datasets can reveal genetic patterns at scale and support large-scale biological surveys. Systematic processing is especially useful when the investigation compares broad collections rather than examining one sample or target at a time.