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Induction of altered gene expression profiles in cultured bovine granulosa cells at high cell density

Overview of attention for article published in Reproductive Biology and Endocrinology, January 2017
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Title
Induction of altered gene expression profiles in cultured bovine granulosa cells at high cell density
Published in
Reproductive Biology and Endocrinology, January 2017
DOI 10.1186/s12958-016-0221-6
Pubmed ID
Authors

Anja Baufeld, Dirk Koczan, Jens Vanselow

Abstract

In previous studies it has been shown that bovine granulosa cells (GC) cultured at a high plating density dramatically change their physiological and molecular characteristics, thus resembling an early stage of luteinization. During the present study, these specific effects on the GC transcriptome were comprehensively analysed to clarify the underlying mechanisms. GC were cultured in serum free medium with FSH and IGF-1 stimulation at different initial plating density. The estradiol and progesterone production was determined by radioimmunoassays and the gene expression profiles were analysed by mRNA microarray analysis after 9 days. The data were statistically analysed and the abundance of selected, differentially expressed transcripts was re-evaluated by qPCR. Bioinformatic pathway analysis of density affected transcripts was done using Ingenuity Pathway Analysis. The data showed that at high plating density the expression of 1510 annotated genes, represented by 1575 transcript clusters, showed highly altered expression levels. Nearly two-thirds were up- and one third down-regulated. Within the top up-regulated genes VNN2, RGS2 and PTX3 could be identified, as well as HBA or LOXL2. Down-regulated genes included important key genes of folliculogenesis like CYP19A1 and FSHR. Ingenuity pathway analysis identified "AMPK signaling" as well as "cAMP-mediated signaling" as major pathways affected by the alteration of the expression profile. Main putative upstream regulators were TGFB1 and VEGF, thus indicating a connection with cell differentiation and angiogenesis. A detailed cluster analysis revealed one single cluster that was highly associated with the upstream regulator beta-estradiol. Within this cluster key genes of steroid biosynthesis were not included, but instead, other genes importantly involved in follicular development, like OXT and VEGFA as well as the three most down-regulated genes TXNIP, PAG11 and ARRDC4 were identified. From these data we hypothesize that high density conditions induce a stage of differentiation in cultured GC that is similar to early post-LH conditions in vivo. Furthermore we hypothesize that specific cell-cell-interactions led to this differentiation including transformations necessary to promote angiogenesis.

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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 %
Researcher 6 27%
Student > Ph. D. Student 4 18%
Student > Bachelor 3 14%
Student > Master 3 14%
Other 1 5%
Other 3 14%
Unknown 2 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 36%
Biochemistry, Genetics and Molecular Biology 4 18%
Medicine and Dentistry 3 14%
Veterinary Science and Veterinary Medicine 2 9%
Psychology 1 5%
Other 1 5%
Unknown 3 14%
Attention Score in Context

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 07 January 2017.
All research outputs
#22,759,802
of 25,374,917 outputs
Outputs from Reproductive Biology and Endocrinology
#999
of 1,134 outputs
Outputs of similar age
#362,594
of 421,667 outputs
Outputs of similar age from Reproductive Biology and Endocrinology
#11
of 12 outputs
Altmetric has tracked 25,374,917 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 1,134 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 12 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.