ArticleNucleic acids research2020
Quantitative, super-resolution localization of small RNAs with sRNA-PAINT.
Article in Nucleic acids research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed, 26 citations in OpenAlex.
- RNA export through the nuclear pore complex: pathways, mechanisms, and imaging strategies.RNA biology · 2026Review
- Modern RNA Quantification Methods: From RT-qPCR to Advanced Microscopy.The journal of physical chemistry. B · 2026Review
- Three decades of mobile RNA silencing within plants: what have we learnt?Journal of experimental botany · 2026Review
- Cryosectioning-enhanced super-resolution microscopy for single-protein imaging across cells and tissues.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- How meristems shape plant architecture in cereals-Cereal Stem Cell Systems (CSCS) Consortium.The Plant cell · 2025Review
- Celebrating the Birthday of AMPA Receptor Nanodomains: Illuminating the Nanoscale Organization of Excitatory Synapses with 10 Nanocandles.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Review
- The mRNA mobileome: challenges and opportunities for deciphering signals from the noise.The Plant cell · 2023Review
- Tracking the Message: Applying Single Molecule Localization Microscopy to Cellular RNA Imaging.Chembiochem : a European journal of chemical biology · 2023Review
- DNA-PAINT Imaging Accelerated by Machine Learning.Frontiers in chemistry · 2022Article
- Completing the canvas: advances and challenges for DNA-PAINT super-resolution imaging.Trends in biochemical sciences · 2021Review
- A Novel Method to Map Small RNAs with High Resolution.Bio-protocol · 2021Article
- OMICs, Epigenetics, and Genome Editing Techniques for Food and Nutritional Security.Plants (Basel, Switzerland) · 2021Review
- Selected In Situ Hybridization Methods: Principles and Application.Molecules (Basel, Switzerland) · 2021Review
- Oxygen, secreted proteins and small RNAs: mobile elements that govern anther development.Plant reproduction · 2021Article
- PhasiRNAs in Plants: Their Biogenesis, Genic Sources, and Roles in Stress Responses, Development, and Reproduction.The Plant cell · 2020Review
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 1 country.
Funding
Abstract
Small RNAs are non-coding RNAs that play important roles in the lives of both animals and plants. They are 21- to 24-nt in length and ∼10 nm in size. Their small size and high diversity have made it challenging to develop detection methods that have sufficient resolution and specificity to multiplex and quantify. We created a method, sRNA-PAINT, for the detection of small RNAs with 20 nm resolution by combining the super-resolution method, DNA-based points accumulation in nanoscale topography (DNA-PAINT), and the specificity of locked nucleic acid (LNA) probes for the in situ detection of multiple small RNAs. The method relies on designing probes to target small RNAs that combine DNA oligonucleotides (oligos) for PAINT with LNA-containing oligos for hybridization; therefore, we developed an online tool called 'Vetting & Analysis of RNA for in situ Hybridization probes' (VARNISH) for probe design. Our method utilizes advances in DNA-PAINT methodologies, including qPAINT for quantification, and Exchange-PAINT for multiplexing. We demonstrated these capabilities of sRNA-PAINT by detecting and quantifying small RNAs in different cell layers of early developmental stage maize anthers that are important for male sexual reproduction.
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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.