| Title |
Self-assembled IKVAV peptide nanofibers promote adherence of PC12 cells
|
|---|---|
| Published in |
Current Medical Science, October 2006
|
| DOI | 10.1007/s11596-006-0530-7 |
| Pubmed ID | |
| Authors |
Yongchao Wu, Qixin Zheng, Jingyuan Du, Yulin Song, Bin Wu, Xiaodong Guo |
| Abstract |
Lack of biocompatibility and bioactivity is a big problem for the synthetic materials that have been generated for neural tissue engineering. To get around the problem and generate better scaffold for neural tissue repair, we intended to generate nano-fibers by self-assembly of polypeptide IKVAV. Bioactive IKVAV Peptide-Amphiphile (IKVAV-PA) was first synthesized and purified, the property of which was analyzed and determined by high-performance liquid chromatography (HPLC) and mass spectrometry (MS). Then, by addition of hydrogen chloride (HCl), self-assembly of IK-VAV-PA was induced in vitro and nano-fibers formed as shown by transmission electron microscopy (TEM). The effect of IKVAV nanofibers on adherence of PC12 cells was assayed in cell culture and the results showed that the rates of adherence of PC12 increased significantly when the density of IKVAV was within a certain range (0.58 microg/cm2 to 15.6 microg/cm2). However, its effect on the rates of adherence did not significantly alter with time, whether after 1 hour or 3 hours of culture. In general, we showed that IKVAV-PA can successfully self-assemble to form nanofiber, and promote rapid and stable adherence of PC12 cells, and the effect of the self-assembled IKVAV to promote PC12 cells adherence is dosage-dependent within a certain range of densities. |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 5% |
| Unknown | 19 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 25% |
| Student > Ph. D. Student | 3 | 15% |
| Student > Bachelor | 3 | 15% |
| Student > Master | 3 | 15% |
| Student > Postgraduate | 2 | 10% |
| Other | 0 | 0% |
| Unknown | 4 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 6 | 30% |
| Agricultural and Biological Sciences | 4 | 20% |
| Medicine and Dentistry | 2 | 10% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Social Sciences | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 4 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 22 February 2018.
All research outputs
#3,798,066
of 25,371,288 outputs
Outputs from Current Medical Science
#36
of 719 outputs
Outputs of similar age
#9,102
of 88,257 outputs
Outputs of similar age from Current Medical Science
#1
of 6 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 719 research outputs from this source. They receive a mean Attention Score of 2.8. This one has done particularly well, scoring higher than 94% 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 88,257 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them