↓ Skip to main content

Cis and trans interactions between genes encoding PAF1 complex and ESCRT machinery components in yeast

Overview of attention for article published in Current Genetics, March 2018
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

twitter
2 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
22 Mendeley
Title
Cis and trans interactions between genes encoding PAF1 complex and ESCRT machinery components in yeast
Published in
Current Genetics, March 2018
DOI 10.1007/s00294-018-0828-6
Pubmed ID
Authors

Joana Rodrigues, David Lydall

Abstract

Saccharomyces cerevisiae is a commonly used model organism for understanding eukaryotic gene function. However, the close proximity between yeast genes can complicate the interpretation of yeast genetic data, particularly high-throughput data. In this study, we examined the interplay between genes encoding components of the PAF1 complex and VPS36, the gene located next to CDC73 on chromosome XII. The PAF1 complex (Cdc73, Paf1, Ctr9, Leo1, and Rtf1, in yeast) affects RNA levels by affecting transcription, histone modifications, and post-transcriptional RNA processing. The human PAF1 complex is linked to cancer, and in yeast, it has been reported to play a role in telomere biology. Vps36, part of the ESCRT-II complex, is involved in sorting proteins for vacuolar/lysosomal degradation. We document a complex set of genetic interactions, which include an adjacent gene effect between CDC73 and VPS36 and synthetic sickness between vps36Δ and cdc73Δ, paf1Δ, or ctr9Δ. Importantly, paf1Δ and ctr9Δ are synthetically lethal with deletions of other components of the ESCRT-II (SNF8 and VPS25), ESCRT-I (STP22), or ESCRT-III (SNF7) complexes. We found that RNA levels of VPS36, but not other ESCRT components, are positively regulated by all components of the PAF1 complex. Finally, we show that deletion of ESCRT components decreases the telomere length in the S288C yeast genetic background, but not in the W303 background. Together, our results outline complex interactions, in cis and in trans, between genes encoding PAF1 and ESCRT-II complex components that affect telomere function and cell viability in yeast.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 23%
Student > Ph. D. Student 5 23%
Researcher 3 14%
Student > Doctoral Student 2 9%
Unspecified 1 5%
Other 3 14%
Unknown 3 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 59%
Medicine and Dentistry 2 9%
Unspecified 1 5%
Agricultural and Biological Sciences 1 5%
Engineering 1 5%
Other 0 0%
Unknown 4 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 23 March 2018.
All research outputs
#14,379,536
of 23,028,364 outputs
Outputs from Current Genetics
#799
of 1,203 outputs
Outputs of similar age
#188,845
of 332,500 outputs
Outputs of similar age from Current Genetics
#11
of 26 outputs
Altmetric has tracked 23,028,364 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,203 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 32nd percentile – i.e., 32% 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 332,500 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.