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Ribosome Biogenesis

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Attention for Chapter: Non-radioactive In Vivo Labeling of RNA with 4-Thiouracil
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Chapter title
Non-radioactive In Vivo Labeling of RNA with 4-Thiouracil
Book title
Ribosome Biogenesis
Published in
Methods in molecular biology, January 2022
DOI 10.1007/978-1-0716-2501-9_12
Pubmed ID
Book ISBNs
978-1-07-162500-2, 978-1-07-162501-9
Authors

Braun, Christina, Knüppel, Robert, Perez-Fernandez, Jorge, Ferreira-Cerca, Sébastien, Christina Braun, Robert Knüppel, Jorge Perez-Fernandez, Sébastien Ferreira-Cerca

Abstract

RNA molecules and their expression dynamics play essential roles in the establishment of complex cellular phenotypes and/or in the rapid cellular adaption to environmental changes. Accordingly, analyzing RNA expression remains an important step to understand the molecular basis controlling the formation of cellular phenotypes, cellular homeostasis or disease progression. Steady-state RNA levels in the cells are controlled by the sum of highly dynamic molecular processes contributing to RNA expression and can be classified in transcription, maturation and degradation. The main goal of analyzing RNA dynamics is to disentangle the individual contribution of these molecular processes to the life cycle of a given RNA under different physiological conditions. In the recent years, the use of nonradioactive nucleotide/nucleoside analogs and improved chemistry, in combination with time-dependent and high-throughput analysis, have greatly expanded our understanding of RNA metabolism across various cell types, organisms, and growth conditions.In this chapter, we describe a step-by-step protocol allowing pulse labeling of RNA with the nonradioactive nucleotide analog, 4-thiouracil , in the eukaryotic model organism Saccharomyces cerevisiae and the model archaeon Haloferax volcanii .

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 33%
Student > Master 1 33%
Unknown 1 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 67%
Unknown 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 July 2022.
All research outputs
#15,349,419
of 22,831,537 outputs
Outputs from Methods in molecular biology
#5,344
of 13,126 outputs
Outputs of similar age
#277,893
of 499,207 outputs
Outputs of similar age from Methods in molecular biology
#232
of 593 outputs
Altmetric has tracked 22,831,537 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,126 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 499,207 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 593 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.