Boundary Formation through a Direct Threshold-Based Readout of Mobile Small RNA Gradients
Developmental Cell, ISSN: 1534-5807, Vol: 43, Issue: 3, Page: 265-273.e6
2017
- 84Citations
- 181Captures
- 2Mentions
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations84
- Citation Indexes84
- 84
- CrossRef77
- Captures181
- Readers181
- 181
- Mentions2
- News Mentions2
- News2
Most Recent News
New research shows how plants decide what shape to grow new leaves
How do plant cells know how to organize into the proper pattern as new leaves form? New research offers clues.
Article Description
Small RNAs have emerged as a new class of mobile signals. Here, we investigate their mechanism of action and show that mobile small RNAs generate sharply defined domains of target gene expression through an intrinsic and direct threshold-based readout of their mobility gradients. This readout is highly sensitive to small RNA levels at the source, allowing plasticity in the positioning of a target gene expression boundary. Besides patterning their immediate targets, the readouts of opposing small RNA gradients enable specification of robust, uniformly positioned developmental boundaries. These patterning properties of small RNAs are reminiscent of those of animal morphogens. However, their mode of action and the intrinsic nature of their gradients distinguish mobile small RNAs from classical morphogens and present a unique direct mechanism through which to relay positional information. Mobile small RNAs and their targets thus emerge as highly portable, evolutionarily tractable regulatory modules through which to create pattern.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S153458071730816X; http://dx.doi.org/10.1016/j.devcel.2017.10.003; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85032583744&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/29107557; https://linkinghub.elsevier.com/retrieve/pii/S153458071730816X; https://dx.doi.org/10.1016/j.devcel.2017.10.003
Elsevier BV
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know