Protein Corona Fingerprinting Predicts the Cellular Interaction of Gold and Silver Nanoparticles (2014)
- Authors: Carl D. Walkey, Jonathan B. Olsen, Fayi Song, Rong Liu, Hongbo Guo, D. Wesley H. Olsen, Yoram Cohen, Andrew Emili, Warren C. W. Chan
- Journal: ACS Nano
- Article Type: journal-article
- Dataset Type: Toxicological Datasets
- Subject: General Physics and Astronomy,General Engineering,General Materials Science
- Date: 2014-2-25
- License:
- URL: http://dx.doi.org/10.1021/nn406018q
- DOI: 10.1021/nn406018q
Original Study Abstract
Using quantitative models to predict the biological interactions of nanoparticles will accelerate the translation of nanotechnology. Here, we characterized the serum protein corona ‘fingerprint’ formed around a library of 105 surface-modified gold nanoparticles. Applying a bioinformatics-inspired approach, we developed a multivariate model that uses the protein corona fingerprint to predict cell association 50% more accurately than a model that uses parameters describing nanoparticle size, aggregation state, and surface charge. Our model implicates a set of hyaluronan-binding proteins as mediators of nanoparticle–cell interactions. This study establishes a framework for developing a comprehensive database of protein corona fingerprints and biological responses for multiple nanoparticle types. Such a database can be used to develop quantitative relationships that predict the biological responses to nanoparticles and will aid in uncovering the fundamental mechanisms of nano–bio interactions.
Data Sample
| LSPR peak position (nm) |
|
|
Total protein (BCA assay) |
|
|
Autot (ICP-AES) |
|
|
Total surface area (SAtot) |
|
|
Protein density |
|
| Synthesized |
|
|
Mean |
SD |
N |
Mean |
SD |
N |
SAtot |
SD |
N |
Mean |
SEM |
| Mean |
SD |
N |
ug |
ug |
|
nmol |
mol |
|
cm^2 |
cm^2 |
|
ug/cm^2 |
ug/cm^2 |
| 518,77 |
0,51 |
3 |
2,927 |
0,465 |
3 |
255,4430266 |
10,23948422 |
2 |
1,061E+01 |
4,255E-01 |
2 |
2,758E-01 |
0,026465833 |
| 526,28 |
1,35 |
3 |
4,602 |
0,665 |
3 |
240,7287996 |
1,23667649 |
2 |
1,000E+01 |
5,139E-02 |
2 |
4,601E-01 |
0,038405008 |
| 518,33 |
0,06 |
3 |
4,790 |
0,144 |
3 |
247,0191324 |
15,07699228 |
2 |
1,026E+01 |
6,265E-01 |
2 |
4,667E-01 |
0,021712246 |
| 518,57 |
0,06 |
3 |
3,552 |
0,895 |
3 |
240,1767044 |
20,22898362 |
2 |
9,980E+00 |
8,406E-01 |
2 |
3,559E-01 |
0,055952944 |
| 523,23 |
0,12 |
3 |
5,741 |
0,669 |
3 |
244,2281341 |
1,237773251 |
2 |
1,015E+01 |
5,143E-02 |
2 |
5,657E-01 |
0,038100112 |
| 519,87 |
0,15 |
3 |
2,976 |
0,908 |
3 |
259,0438079 |
9,796935585 |
2 |
1,076E+01 |
4,071E-01 |
2 |
2,765E-01 |
0,049275338 |
Data Summary
| Group |
Count |
| # of Toxicity Endpoints |
125 |
| # of Nanomaterial types |
2 |