Evidence map›Paper›PMID 21956884›Full record

ArticleProteomics2011

Quantitative proteomics analysis of adsorbed plasma proteins classifies nanoparticles with different surface properties and size.

Haizhen Zhang, Kristin E Burnum, Maria L Luna, Brianne O Petritis, Jong-Seo Kim, Wei-Jun Qian, Ronald J Moore, Alejandro Heredia-Langner, Bobbie-Jo M Webb-Robertson, Brian D Thrall and 4 more

Abstract read
In one paragraph

Article in Proteomics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

41 citing papers in PubMed.

  1. Article
  2. Review
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  8. Review
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  11. SWATH-MS Protocols in Human Diseases.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  12. Review
  13. Article
  14. Article
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  17. Review
  18. Review
  19. Article
  20. NanoEHS beyond Toxicity - Focusing on Biocorona.Environmental science. Nano · 2017
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Haizhen ZhangBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99352, USA.
Kristin E Burnum
Maria L Luna
Brianne O Petritis
Jong-Seo Kim
Wei-Jun Qian
Ronald J Moore
Alejandro Heredia-Langner
Bobbie-Jo M Webb-Robertson
Brian D Thrall
David G Camp
Richard D Smith
Joel G Pounds
Tao Liu

Funding

WORKSHOP AND TRAINING ACTIVITIESP41RR018522 · NCRR · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI SMITH, RICHARD D · 2003 to 2011
$25.1M
Project 3: Dosimetry and Structure-Activity Relationships for Nanomaterial Risk AU19ES019544 · NIEHS · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI POUNDS, JOEL G · 2010 to 2014
$6.0M
Sytems Analysis of Nanoparticle BiocompatibilityR01ES016212 · NIEHS · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI THRALL, BRIAN D. · 2007 to 2011
$1.9M
NCRR NIH HHS P41 RR018522NCRR NIH HHS RR018522NIEHS NIH HHS ES016212NIEHS NIH HHS ES019544NIEHS NIH HHS R01 ES016212NIEHS NIH HHS U19 ES019544
6 · The paper itself

Abstract

Nanoparticle biological activity, biocompatibility and fate can be directly affected by layers of readily adsorbed host proteins in biofluids. Here, we report a study on the interactions between human blood plasma proteins and nanoparticles with a controlled systematic variation of properties using (18)O-labeling and LC-MS-based quantitative proteomics. We developed a novel protocol to both simplify isolation of nanoparticle bound proteins and improve reproducibility. LC-MS analysis identified and quantified 88 human plasma proteins associated with polystyrene nanoparticles consisting of three different surface chemistries and two sizes, as well as, for four different exposure times (for a total of 24 different samples). Quantitative comparison of relative protein abundances was achieved by spiking an (18)O-labeled "universal" reference into each individually processed unlabeled sample as an internal standard, enabling simultaneous application of both label-free and isotopic labeling quantification across the entire sample set. Clustering analysis of the quantitative proteomics data resulted in distinctive patterns that classified the nanoparticles based on their surface properties and size. In addition, temporal data indicated that the formation of the stable protein corona was at equilibrium within 5 min. The comprehensive quantitative proteomics results obtained in this study provide rich data for computational modeling and have potential implications towards predicting nanoparticle biocompatibility.

Indexed as

AdsorptionAnalysis of VarianceBlood ProteinsChromatography, LiquidCluster AnalysisHumansMass SpectrometryNanoparticlesParticle SizePolystyrenesProtein BindingProteomicsSurface PropertiesBlood ProteinsPolystyrenes

Identifiers

PMID21956884
PMCPMC3252235

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.