| Title |
Parvalbumin alters mitochondrial dynamics and affects cell morphology
|
|---|---|
| Published in |
Cellular and Molecular Life Sciences, September 2018
|
| DOI | 10.1007/s00018-018-2921-x |
| Pubmed ID | |
| Authors |
Lucia Lichvarova, Thomas Henzi, Dzhamilja Safiulina, Allen Kaasik, Beat Schwaller |
| Abstract |
The Ca2+-binding protein parvalbumin (PV) and mitochondria play important roles in Ca2+ signaling, buffering and sequestration. Antagonistic regulation of PV and mitochondrial volume is observed in in vitro and in vivo model systems. Changes in mitochondrial morphology, mitochondrial volume and dynamics (fusion, fission, mitophagy) resulting from modulation of PV were investigated in MDCK epithelial cells with stable overexpression/downregulation of PV. Increased PV levels resulted in smaller, roundish cells and shorter mitochondria, the latter phenomenon related to reduced fusion rates and decreased expression of genes involved in mitochondrial fusion. PV-overexpressing cells displayed increased mitophagy, a likely cause for the decreased mitochondrial volumes and the smaller overall cell size. Cells showed lower mobility in vitro, paralleled by reduced protrusions. Constitutive PV down-regulation in PV-overexpressing cells reverted mitochondrial morphology and fractional volume to the state present in control MDCK cells, resulting from increased mitochondrial movement and augmented fusion rates. PV-modulated, bi-directional and reversible mitochondrial dynamics are key to regulation of mitochondrial volume. |
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 % |
|---|---|---|
| Unknown | 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 6 | 18% |
| Student > Ph. D. Student | 6 | 18% |
| Student > Master | 3 | 9% |
| Student > Doctoral Student | 3 | 9% |
| Researcher | 3 | 9% |
| Other | 4 | 12% |
| Unknown | 8 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 10 | 30% |
| Biochemistry, Genetics and Molecular Biology | 6 | 18% |
| Veterinary Science and Veterinary Medicine | 2 | 6% |
| Agricultural and Biological Sciences | 2 | 6% |
| Medicine and Dentistry | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 9 | 27% |
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 31 October 2018.
All research outputs
#15,492,086
of 23,794,258 outputs
Outputs from Cellular and Molecular Life Sciences
#2,969
of 4,151 outputs
Outputs of similar age
#204,984
of 342,478 outputs
Outputs of similar age from Cellular and Molecular Life Sciences
#23
of 45 outputs
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