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Mendeley readers
Attention Score in Context
| Title |
A Mutant Isoform of ObgE Causes Cell Death by Interfering with Cell Division
|
|---|---|
| Published in |
Frontiers in Microbiology, June 2017
|
| DOI | 10.3389/fmicb.2017.01193 |
| Pubmed ID | |
| Authors |
Liselot Dewachter, Natalie Verstraeten, Michiel Jennes, Tom Verbeelen, Jacob Biboy, Daniel Monteyne, David Pérez-Morga, Kevin J. Verstrepen, Waldemar Vollmer, Maarten Fauvart, Jan Michiels |
| Abstract |
Cell division is a vital part of the cell cycle that is fundamental to all life. Despite decades of intense investigation, this process is still incompletely understood. Previously, the essential GTPase ObgE, which plays a role in a myriad of basic cellular processes (such as initiation of DNA replication, chromosome segregation, and ribosome assembly), was proposed to act as a cell cycle checkpoint in Escherichia coli by licensing chromosome segregation. We here describe the effect of a mutant isoform of ObgE (ObgE(∗)) that causes cell death by irreversible arrest of the cell cycle at the stage of cell division. Notably, chromosome segregation is allowed to proceed normally in the presence of ObgE(∗), after which cell division is blocked. Under conditions of rapid growth, ongoing cell cycles are completed before cell cycle arrest by ObgE(∗) becomes effective. However, cell division defects caused by ObgE(∗) then elicit lysis through formation of membrane blebs at aberrant division sites. Based on our results, and because ObgE was previously implicated in cell cycle regulation, we hypothesize that the mutation in ObgE(∗) disrupts the normal role of ObgE in cell division. We discuss how ObgE(∗) could reveal more about the intricate role of wild-type ObgE in division and cell cycle control. Moreover, since Obg is widely conserved and essential for viability, also in eukaryotes, our findings might be applicable to other organisms as well. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 23% |
| Student > Master | 9 | 21% |
| Student > Bachelor | 7 | 16% |
| Researcher | 7 | 16% |
| Student > Doctoral Student | 1 | 2% |
| Other | 4 | 9% |
| Unknown | 5 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 37% |
| Biochemistry, Genetics and Molecular Biology | 13 | 30% |
| Immunology and Microbiology | 4 | 9% |
| Computer Science | 1 | 2% |
| Veterinary Science and Veterinary Medicine | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 6 | 14% |
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 14 July 2017.
All research outputs
#20,434,884
of 22,988,380 outputs
Outputs from Frontiers in Microbiology
#22,641
of 25,053 outputs
Outputs of similar age
#275,126
of 315,500 outputs
Outputs of similar age from Frontiers in Microbiology
#459
of 531 outputs
Altmetric has tracked 22,988,380 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 25,053 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 1st percentile – i.e., 1% 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 315,500 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 531 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.