ArticleMethods in molecular biology (Clifton, N.J.)2022
Guiding RNAi Design Through Characterization of Endogenous Small RNA Pathways.
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 3 papers.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- RNA signaling in medicinal plants: An overlooked mechanism for phytochemical regulation.Biochemistry and biophysics reports · 2025Review
- Processing of genomic RNAs by Dicer in bat cells limits SARS-CoV-2 replication.Virology journal · 2025Article
- Insights into Microbiota-Host Crosstalk in the Intestinal Diseases Mediated by Extracellular Vesicles and Their Encapsulated MicroRNAs.International journal of molecular sciences · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
RNA interference (RNAi) is a common eukaryotic gene regulation process driven by small RNA effectors. Mechanisms that govern regulatory small noncoding RNA behavior have been extensively described in only a handful of organisms, which suggests that the most effective RNAi approach in many organisms, such as insect pests, remains to be determined. Taking advantage of advances in high-throughput sequencing, characterization of small RNA molecules can be achieved through bioinformatic approaches without the need for genetic experiments. This chapter describes pipelines for characterizing three main classes of small RNAs (microRNAs, small-interfering RNAs, and piwi-associated RNAs) using computationally determined small RNA biogenesis signatures. Obtaining information regarding the abundance of different small RNA classes through these pipelines will lead to a better-informed RNAi strategy, thereby identifying the most efficacious approach for RNAi.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.