| Title |
A Novel In Vivo siRNA Delivery System Specifically Targeting Liver Cells for Protection of ConA-Induced Fulminant Hepatitis
|
|---|---|
| Published in |
PLOS ONE, September 2012
|
| DOI | 10.1371/journal.pone.0044138 |
| Pubmed ID | |
| Authors |
Nan Jiang, Xusheng Zhang, Xiufen Zheng, Di Chen, Kingsun Siu, Hongmei Wang, Thomas E. Ichim, Douglas Quan, Vivian McAlister, Guihua Chen, Wei-Ping Min |
| Abstract |
Fulminant hepatitis progresses to acute liver failure (ALF) when the extent of hepatocyte death exceeds the liver's regenerative capacity. Although small interfering RNA (siRNA) appears promising in animal models of hepatitis, the approach is limited by drawbacks associated with systemic administration of siRNA. The aim of this study is to develop a hepatocyte-specific delivery system of siRNA for treatment of fulminant hepatitis. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 2% |
| Netherlands | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 47 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 28% |
| Student > Ph. D. Student | 14 | 28% |
| Student > Bachelor | 6 | 12% |
| Other | 4 | 8% |
| Professor | 3 | 6% |
| Other | 7 | 14% |
| Unknown | 2 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 24% |
| Chemistry | 10 | 20% |
| Biochemistry, Genetics and Molecular Biology | 7 | 14% |
| Engineering | 4 | 8% |
| Medicine and Dentistry | 4 | 8% |
| Other | 8 | 16% |
| Unknown | 5 | 10% |