↓ Skip to main content

Cationic liposomes induce cytotoxicity in HepG2 via regulation of lipid metabolism based on whole-transcriptome sequencing analysis

Overview of attention for article published in BMC Pharmacology and Toxicology, July 2018
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 (66th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
37 Mendeley
Title
Cationic liposomes induce cytotoxicity in HepG2 via regulation of lipid metabolism based on whole-transcriptome sequencing analysis
Published in
BMC Pharmacology and Toxicology, July 2018
DOI 10.1186/s40360-018-0230-5
Pubmed ID
Authors

Ying Li, Xiu-Liang Cui, Qing-Shan Chen, Jing Yu, Hai Zhang, Jie Gao, Du-Xin Sun, Guo-Qing Zhang

Abstract

Cationic liposomes (CLs) can be used as non-viral vectors in gene transfer and drug delivery. However, the underlying molecular mechanism of its cytotoxicity has not been well elucidated yet. We herein report a systems biology approach based on whole-transcriptome sequencing coupled with computational method to identify the predominant genes and pathways involved in the cytotoxicity of CLs in HepG2 cell line. Firstly, we validated the concentration-dependent cytotoxicity of CLs with an IC50 of 120 μg/ml in HepG2 exposed for 24 h. Subsequently, we used whole-transcriptome sequencing to identify 220 (77 up- and 143 down-regulated) differentially expressed genes (DEGs). Gene ontology (GO) and pathway analysis showed that these DEGs were mainly related to cholesterol, steroid, lipid biosynthetic and metabolic processes. Additionally, "key regulatory" genes were identified using gene act, pathway act and co-expression network analysis, and expression levels of 11 interested altered genes were confirmed by quantitative real time PCR. Interestingly, no cell cycle arrest was observed through flow cytometry. These data are expected to provide deep insights into the molecular mechanism of CLs cytotoxicity.

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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 14%
Researcher 5 14%
Student > Ph. D. Student 4 11%
Student > Doctoral Student 2 5%
Student > Master 2 5%
Other 2 5%
Unknown 17 46%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 7 19%
Biochemistry, Genetics and Molecular Biology 4 11%
Medicine and Dentistry 2 5%
Chemistry 2 5%
Social Sciences 1 3%
Other 3 8%
Unknown 18 49%
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 03 September 2023.
All research outputs
#15,820,326
of 25,492,047 outputs
Outputs from BMC Pharmacology and Toxicology
#207
of 485 outputs
Outputs of similar age
#190,711
of 339,661 outputs
Outputs of similar age from BMC Pharmacology and Toxicology
#5
of 15 outputs
Altmetric has tracked 25,492,047 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 485 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 54% of its peers.
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 339,661 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.