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Wiley Interdisciplinary Reviews Developmental Biology
Article . 2015 . Peer-reviewed
License: CC BY NC
Data sources: Crossref
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PubMed Central
Conference object . 2015
Data sources: PubMed Central
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Strength in numbers: quantitative single‐molecule RNA detection assays

Authors: Gaspar, Imre; Ephrussi, Anne;

Strength in numbers: quantitative single‐molecule RNA detection assays

Abstract

Gene expression is a fundamental process that underlies development, homeostasis, and behavior of organisms. The fact that it relies on nucleic acid intermediates, which can specifically interact with complementary probes, provides an excellent opportunity for studying the multiple steps—transcription, RNA processing, transport, translation, degradation, and so forth—through which gene function manifests. Over the past three decades, the toolbox of nucleic acid science has expanded tremendously, making high‐precision in situ detection of DNA and RNA possible. This has revealed that many—probably the vast majority of—transcripts are distributed within the cytoplasm or the nucleus in a nonrandom fashion. With the development of microscopy techniques we have learned not only about the qualitative localization of these molecules but also about their absolute numbers with great precision. Single‐molecule techniques for nucleic acid detection have been transforming our views of biology with elementary power: cells are not average members of their population but are highly distinct individuals with greatly and suddenly changing gene expression, and this behavior of theirs can be measured, modeled, and thus predicted and, finally, comprehended. WIREs Dev Biol 2015, 4:135–150. doi: 10.1002/wdev.170This article is categorized under: Establishment of Spatial and Temporal Patterns > Cytoplasmic Localization Gene Expression and Transcriptional Hierarchies > Quantitative Methods and Models Technologies > Analysis of the Transcriptome

Keywords

Green Fluorescent Proteins, Advanced Reviews, Animals, Humans, Nucleic Acid Hybridization, RNA, Biological Assay, Models, Biological, Fluorescent Dyes

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
52
Top 10%
Top 10%
Top 10%
Green
hybrid