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Genome-Wide Mapping of Decay Factor–mRNA Interactions in Yeast Identifies Nutrient-Responsive Transcripts as Targets of the Deadenylase Ccr4

Overview of attention for article published in G3: Genes, Genomes, Genetics, January 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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Title
Genome-Wide Mapping of Decay Factor–mRNA Interactions in Yeast Identifies Nutrient-Responsive Transcripts as Targets of the Deadenylase Ccr4
Published in
G3: Genes, Genomes, Genetics, January 2018
DOI 10.1534/g3.117.300415
Pubmed ID
Authors

Jason E. Miller, Liye Zhang, Haoyang Jiang, Yunfei Li, B. Franklin Pugh, Joseph C. Reese

Abstract

The Ccr4-Not complex is a major regulator of stress responses that controls gene expression at multiple levels, from transcription to mRNA decay. Ccr4, a core subunit of the complex, is the main cytoplasmic deadenylase in Saccharomyces cerevisiae, however its mRNA targets have not been mapped on a genome-wide scale. Here we describe a genome-wide approach, RNA immunoprecipitation-high throughput sequencing (RIP-seq), to identify the RNAs bound to Ccr4, and two proteins that associate with it, Dhh1 and Puf5. All three proteins were preferentially bound to lowly abundant mRNAs, most often at the 3' end of the transcript. Furthermore, Ccr4, Dhh1 and Puf5 are recruited to mRNAs that are targeted by other RNA-binding proteins that promote decay, mRNA transport and inhibit translation.  Although Ccr4-Not regulates mRNA transcription and decay, Ccr4 recruitment to mRNAs correlates better with decay rates, suggesting it imparts greater control over transcript abundance through decay.  Ccr4-enriched mRNAs are refractory to control by the other deadenylase complex in yeast, Pan2/3, suggesting a division of labor between these deadenylation complexes. Finally, Ccr4 and Dhh1 associate with mRNAs whose abundance increases during nutrient starvation and those that fluctuate during metabolic and oxygen consumption cycles, which explains the known genetic connections between these factors and nutrient utilization and stress pathways.

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X Demographics

The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 78 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 29%
Student > Master 13 17%
Researcher 9 12%
Student > Bachelor 6 8%
Other 4 5%
Other 7 9%
Unknown 16 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 34 44%
Agricultural and Biological Sciences 14 18%
Chemistry 4 5%
Engineering 3 4%
Nursing and Health Professions 1 1%
Other 5 6%
Unknown 17 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 30 March 2018.
All research outputs
#2,908,286
of 23,498,099 outputs
Outputs from G3: Genes, Genomes, Genetics
#562
of 3,231 outputs
Outputs of similar age
#66,588
of 444,852 outputs
Outputs of similar age from G3: Genes, Genomes, Genetics
#21
of 82 outputs
Altmetric has tracked 23,498,099 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,231 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one has done well, scoring higher than 82% of its peers.
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 444,852 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 82 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.