| Title |
Emerging roles for sphingolipids in cellular aging
|
|---|---|
| Published in |
Current Genetics, December 2017
|
| DOI | 10.1007/s00294-017-0799-z |
| Pubmed ID | |
| Authors |
Pushpendra Singh, Rong Li |
| Abstract |
Aging is a gradual loss of physiological functions as organisms' progress in age. Although aging in multicellular organisms is complex, some fundamental mechanisms and pathways may be shared from the single cellular yeast to human. Budding yeast Saccharomyces cerevisiae has been established model system for aging studies. A yeast cell divides asymmetrically to produce two cells that differ in size and age. The one that is smaller coming from bud is a newborn cell that with a full replicative potential head irrespective of the replicative age of its mother-the larger cell from which the bud grows out before division. The age asymmetry between daughter and mother is thought to be dependent on asymmetric segregation of certain factors such as protein aggregates, extrachromosomal DNA (ERCs) and dysfunctional organelles during successive cell divisions of the yeast replicative lifespan (RLS). It is also thought that certain plasma membrane proteins, in particular multidrug-resistant (MDR) proteins, asymmetrically partition between the mother and the bud based on the age of the polypeptides. Functional decline associated with the molecular aging of those proteins contributes to the fitness decline at advance age. In our recent study, we showed that sphingolipids facilitate the age-dependent segregation of MDRs between daughter and mother cell. In this review, we highlight and discuss the potential mechanisms by which sphingolipids regulate the aging process in yeast and cells of vertebrate animals including human. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 67% |
| France | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 31% |
| Student > Ph. D. Student | 6 | 17% |
| Student > Master | 5 | 14% |
| Student > Bachelor | 4 | 11% |
| Student > Postgraduate | 3 | 9% |
| Other | 3 | 9% |
| Unknown | 3 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 15 | 43% |
| Agricultural and Biological Sciences | 8 | 23% |
| Medicine and Dentistry | 3 | 9% |
| Nursing and Health Professions | 1 | 3% |
| Immunology and Microbiology | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 6 | 17% |
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 18 October 2018.
All research outputs
#17,923,510
of 23,012,811 outputs
Outputs from Current Genetics
#930
of 1,203 outputs
Outputs of similar age
#308,536
of 440,404 outputs
Outputs of similar age from Current Genetics
#15
of 25 outputs
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