| Title |
Effects of upregulated expression of microRNA-16 on biological properties of culture-activated hepatic stellate cells
|
|---|---|
| Published in |
Apoptosis, September 2009
|
| DOI | 10.1007/s10495-009-0401-3 |
| Pubmed ID | |
| Authors |
Can-Jie Guo, Qin Pan, Bo Jiang, Guang-Yu Chen, Ding-Guo Li |
| Abstract |
In our previous studies, we identified miR-16 as being downregulated during activation of hepatic stellate cells (HSCs) by microarray hybridization. However, the roles and related mechanisms of miR-16 in HSCs are not understood. In this study, The miRNA RNAi technique was used to analyze the effects of miR-16 on biological properties of HSCs in vitro. The lentiviral vector encoding miR-16 was constructed and transfected. Furthermore, the expression level of miR-16 was measured by real-time PCR. Cellular growth and proliferation capacity were assayed using the cell counting kit-8 (CCK-8). The apoptosis rate and cell-cycle distribution were measured by flow cytometry. Cell morphological characteristics were identified by phase-contrast microscopy, fluorescence microscopy and electron microscopy. The underlying mechanisms related to the changes in biological properties were assessed. The identity of the recombinant plasmid was confirmed by restriction endonuclease analysis and DNA sequencing. Virus titer was 10(8) > ifu/m. Restoring the intracellular miRNAs by miR-16 administration greatly reduced the expression levels of cyclin D1 (CD1). Cell-cycle arrest and typical features of apoptosis were detected in activated HSCs treated with pLV-miR-16. Our results indicate that transduction of miR-16 offers a feasible approach to significantly inhibit HSC proliferation and increase the apoptosis index. Thus, targeted transfer of miR-16 into HSC may be useful for the treatment of hepatic fibrosis. |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 3% |
| China | 1 | 3% |
| Unknown | 33 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 29% |
| Student > Master | 5 | 14% |
| Student > Ph. D. Student | 4 | 11% |
| Student > Doctoral Student | 3 | 9% |
| Student > Postgraduate | 3 | 9% |
| Other | 7 | 20% |
| Unknown | 3 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 37% |
| Medicine and Dentistry | 9 | 26% |
| Biochemistry, Genetics and Molecular Biology | 6 | 17% |
| Neuroscience | 2 | 6% |
| Business, Management and Accounting | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 2 | 6% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 July 2021.
All research outputs
#7,453,827
of 22,787,797 outputs
Outputs from Apoptosis
#168
of 804 outputs
Outputs of similar age
#33,220
of 93,465 outputs
Outputs of similar age from Apoptosis
#6
of 12 outputs
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