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| Title |
Phospholipase C inhibits apoptosis of porcine primary granulosa cells cultured in vitro
|
|---|---|
| Published in |
Journal of Ovarian Research, September 2019
|
| DOI | 10.1186/s13048-019-0567-4 |
| Pubmed ID | |
| Authors |
Huali Chen, Youfu Yang, Youlin Wang, Yuan Li, Yamei He, Jiaxin Duan, Dejun Xu, Yifei Pei, Jianyong Cheng, Li Yang, Rongmao Hua, Xiaoya Li, Jie Wang, Xiaohan Jiang, Huanshan He, Lin Wu, Dingbang Liu, Qingwang Li |
| Abstract |
Phospholipase C (PLC) can participate in cell proliferation, differentiation and aging. However, whether it has a function in apoptosis in porcine primary granulosa cells is largely uncertain. The objective of this study was to examine the effects of PLC on apoptosis of porcine primary granulosa cells cultured in vitro. The mRNA expression of BAK, BAX and CASP3, were upregulated in the cells treated with U73122 (the PLC inhibitor). The abundance of BCL2 mRNA, was upregulated, while BAX and CASP3 mRNA expression was decreased after treatment with m-3M3FBS (the PLC activator). Both the early and late apoptosis rate were maximized with 0.5 μM U73122 for 4 h. The rate of early apoptosis was the highest at 4 h and the rate of late apoptosis was the highest at 12 h in the m-3M3FBS group. The protein abundance of PLCβ1, protein kinase C β (PKCβ), calmodulin-dependent protein kinaseII α (CAMKIIα) and calcineurinA (CalnA) were decreased by U73122, and CAMKIIα protein abundance was increased by m-3M3FBS. The mRNA expression of several downstream genes (CDC42, NFATc1, and NFκB) was upregulated by PLC. Our results demonstrated that apoptosis can be inhibited by altering PLC signaling in porcine primary granulosa cells cultured in vitro, and several calcium-sensitive targets and several downstream genes might take part in the processes. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
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 25 February 2020.
All research outputs
#18,692,168
of 23,164,913 outputs
Outputs from Journal of Ovarian Research
#327
of 604 outputs
Outputs of similar age
#258,436
of 345,861 outputs
Outputs of similar age from Journal of Ovarian Research
#7
of 16 outputs
Altmetric has tracked 23,164,913 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 604 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.