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Combinatorial synthesis and screening of cancer cell-specific nanomedicines targeted via phage fusion proteins

Overview of attention for article published in Frontiers in Microbiology, June 2015
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Title
Combinatorial synthesis and screening of cancer cell-specific nanomedicines targeted via phage fusion proteins
Published in
Frontiers in Microbiology, June 2015
DOI 10.3389/fmicb.2015.00628
Pubmed ID
Authors

James W. Gillespie, Amanda L. Gross, Anatoliy T. Puzyrev, Deepa Bedi, Valery A. Petrenko

Abstract

Active tumor targeting of nanomedicines has recently shown significant improvements in the therapeutic activity of currently existing drug delivery systems, such as liposomal doxorubicin (Doxil/Caelyx/Lipodox). Previously, we have shown that isolated pVIII major coat proteins of the fd-tet filamentous phage vector, containing cancer cell-specific peptide fusions at their N-terminus, can be used as active targeting ligands in a liposomal doxorubicin delivery system in vitro and in vivo. Here, we show a novel major coat protein isolation procedure in 2-propanol that allows spontaneous incorporation of the hydrophobic protein core into preformed liposomal doxorubicin with minimal damage or drug loss while still retaining the targeting ligand exposed for cell-specific targeting. Using a panel of 12 structurally unique ligands with specificity toward breast, lung, and/or pancreatic cancer, we showed the feasibility of pVIII major coat proteins to significantly increase the throughput of targeting ligand screening in a common nanomedicine core. Phage protein-modified Lipodox samples showed an average doxorubicin recovery of 82.8% across all samples with 100% of protein incorporation in the correct orientation (N-terminus exposed). Following cytotoxicity screening in a doxorubicin-sensitive breast cancer line (MCF-7), three major groups of ligands were identified. Ligands showing the most improved cytotoxicity included: DMPGTVLP, ANGRPSMT, VNGRAEAP, and ANDVYLD showing a 25-fold improvement (p < 0.05) in toxicity. Similarly DGQYLGSQ, ETYNQPYL, and GSSEQLYL ligands with specificity toward a doxorubicin-insensitive pancreatic cancer line (PANC-1) showed significant increases in toxicity (2-fold; p < 0.05). Thus, we demonstrated proof-of-concept that pVIII major coat proteins can be screened in significantly higher throughput to identify novel ligands displaying improved therapeutic activity in a desired cancer phenotype.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 3%
Denmark 1 3%
Unknown 31 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 30%
Researcher 7 21%
Student > Master 5 15%
Student > Bachelor 3 9%
Student > Doctoral Student 2 6%
Other 2 6%
Unknown 4 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 21%
Biochemistry, Genetics and Molecular Biology 7 21%
Chemistry 5 15%
Chemical Engineering 2 6%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Other 4 12%
Unknown 6 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 23 June 2015.
All research outputs
#20,281,599
of 22,815,414 outputs
Outputs from Frontiers in Microbiology
#22,367
of 24,768 outputs
Outputs of similar age
#219,990
of 263,968 outputs
Outputs of similar age from Frontiers in Microbiology
#310
of 382 outputs
Altmetric has tracked 22,815,414 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,768 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 263,968 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 382 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.