ArticleMethods in molecular biology (Clifton, N.J.)2022
RT-qPCR for Detection and Expression Monitoring of Core Genes Involved in the RNA Interference Pathways of Western Corn Rootworm (Diabrotica virgifera virgifera).
Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed, 4 citations in OpenAlex.
- Development of a recombinase-aided amplification combined with a lateral flow dipstick assay for rapid detection of H7 subtype avian influenza virus.Frontiers in microbiology · 2023Article
- Resveratrol exhibits neuroprotection against paraquat-induced PC12 cells via heme oxygenase 1 upregulation by decreasing MiR-136-5p expression.Bioengineered · 2022Article
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1 author at 1 institution in 1 country.
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Abstract
Reverse transcription quantitative polymerase chain reaction (RT-qPCR) assays are a highly accurate and precise method for measuring transcript expression levels. A major drawback of RT-qPCR is the extensive optimization and validation necessary to produce high-quality assays, as described in the guidelines "Minimum Information for Publication of Quantitative Real-Time PCR Experiments." This chapter describes use of designed and optimized RT-qPCR assays that accurately detect expression of eight genes predicted to be centrally involved in the RNA interference (RNAi) pathways of western corn rootworm (WCR), and appropriate accompanying parameters. Assay gene targets include drosha, dicer-1, dicer-2, pasha, loquacious, r2d2, argonaute 1, and argonaute 2, and detection has been validated at nine different points in the WCR life cycle. These assays can be used with this procedure to assess expression of any one of these core RNAi pathway genes in up to 96 samples per 384-well qPCR plate.
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