↓ Skip to main content

The impact of PSRC1 overexpression on gene and transcript expression profiling in the livers of ApoE−/− mice fed a high-fat diet

Overview of attention for article published in Molecular and Cellular Biochemistry, December 2019
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
9 Mendeley
Title
The impact of PSRC1 overexpression on gene and transcript expression profiling in the livers of ApoE−/− mice fed a high-fat diet
Published in
Molecular and Cellular Biochemistry, December 2019
DOI 10.1007/s11010-019-03673-x
Pubmed ID
Authors

Mengqiu Wei, Peng Li, Kai Guo

Abstract

Our previous studies have confirmed that proline/serine-rich coiled-coil 1 (PSRC1) overexpression can regulate blood lipid levels and inhibit atherosclerosis (AS) development. In the current study, the gene and transcript expression profiles in the livers of ApoE-/- mice overexpressing PSRC1 were investigated. HiSeq X Ten RNA sequencing (RNA-seq) analysis was used to examine the differentially expressed genes (DEGs) and differentially expressed transcripts in the livers of PSRC1-overexpressing ApoE-/- and control mice. Then, Gene Ontology (GO) functional enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed on these DEGs and on long noncoding RNA (lncRNA) predicted target genes. A total of 1892 significant DEGs were identified: 1431 were upregulated (e.g., Cyp2a4, Obp2a, and Sertad4), and 461 were downregulated (e.g., Moxd1, Egr1, and Elovl3). In addition, 8184 significant differentially expressed transcripts were identified, 4908 of which were upregulated and 3276 of which were downregulated. Furthermore, 1106 significant differentially expressed lncRNAs were detected, 713 of which were upregulated and 393 of which were downregulated. Quantitative reverse transcription PCR (qRT-PCR) verified changes in 10 randomly selected DEGs. GO analyses showed that the DEGs and predicted lncRNA target genes were mostly enriched for actin binding and lipid metabolism. KEGG biological pathway analyses showed that the DEGs in the livers of PSRC1-overexpressing ApoE-/- mice were enriched in the mitogen-activated protein kinase (MAPK) pathway. These findings reveal that PSRC1 may affect liver actin polymerization and cholesterol metabolism-related genes or pathways. These mRNAs and lncRNAs may represent new biomarkers and targets for the diagnosis and therapy of lipid metabolism disturbance and AS.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 22%
Researcher 2 22%
Unspecified 1 11%
Student > Master 1 11%
Unknown 3 33%
Readers by discipline Count As %
Arts and Humanities 1 11%
Unspecified 1 11%
Biochemistry, Genetics and Molecular Biology 1 11%
Neuroscience 1 11%
Medicine and Dentistry 1 11%
Other 0 0%
Unknown 4 44%
Attention Score in Context

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 16 December 2019.
All research outputs
#15,064,058
of 23,182,015 outputs
Outputs from Molecular and Cellular Biochemistry
#1,270
of 2,334 outputs
Outputs of similar age
#262,142
of 459,188 outputs
Outputs of similar age from Molecular and Cellular Biochemistry
#5
of 20 outputs
Altmetric has tracked 23,182,015 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,334 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 43rd percentile – i.e., 43% 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 459,188 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.