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Accessing to the minor proteome of red blood cells through the influence of the nanoparticle surface properties on the corona composition

Overview of attention for article published in International Journal of Nanomedicine, March 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

patent
6 patents

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
32 Mendeley
Title
Accessing to the minor proteome of red blood cells through the influence of the nanoparticle surface properties on the corona composition
Published in
International Journal of Nanomedicine, March 2015
DOI 10.2147/ijn.s70503
Pubmed ID
Authors

Affif Zaccaria, Florence Roux-Dalvai, Ali Bouamrani, Adrien Mombrun, Pascal Mossuz, Bernard Monsarrat, François Berger

Abstract

Nanoparticle (NP)-protein interactions in complex samples have not yet been clearly understood. Nevertheless, several studies demonstrated that NP's physicochemical features significantly impact on the protein corona composition. Taking advantage of the NP potential to harvest different subsets of proteins, we assessed for the first time the capacity of three kinds of superparamagnetic NPs to highlight the erythrocyte minor proteome. Using both qualitative and quantitative proteomics approaches, nano-liquid chromatography-tandem mass spectrometry allowed the identification of 893 different proteins, confirming the reproducible capacity of NPs to increase the number of identified proteins, through a reduction of the sample concentration range and the capture of specific proteins on the three different surfaces. These NP-specific protein signatures revealed significant differences in their isoelectric point and molecular weight. Moreover, this NP strategy offered a deeper access to the erythrocyte proteome highlighting several signaling pathways implicated in important erythrocyte functions. The automated potentiality, the reproducibility, and the low-consuming sample demonstrate the strong compatibility of our strategy for large-scale clinical studies and may become a standardized sample preparation in future erythrocyte-associated proteomics studies.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 3%
Unknown 31 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 34%
Student > Ph. D. Student 5 16%
Student > Bachelor 2 6%
Professor > Associate Professor 2 6%
Student > Master 2 6%
Other 3 9%
Unknown 7 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 31%
Biochemistry, Genetics and Molecular Biology 4 13%
Chemistry 3 9%
Medicine and Dentistry 3 9%
Unspecified 1 3%
Other 3 9%
Unknown 8 25%
Attention Score in Context

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 04 July 2023.
All research outputs
#3,798,945
of 25,374,647 outputs
Outputs from International Journal of Nanomedicine
#264
of 4,123 outputs
Outputs of similar age
#46,153
of 270,996 outputs
Outputs of similar age from International Journal of Nanomedicine
#9
of 77 outputs
Altmetric has tracked 25,374,647 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 4,123 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 92% 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 270,996 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 82% of its contemporaries.
We're also able to compare this research output to 77 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.