Evidence map›Paper›PMID 39044000›Full record

ReviewNature protocols2024

Analysis of nanomaterial biocoronas in biological and environmental surroundings.

Peng Zhang, Mingjing Cao, Andrew J Chetwynd, Klaus Faserl, Fazel Abdolahpur Monikh, Wei Zhang, Rawi Ramautar, Laura-Jayne A Ellis, Hossein Hayat Davoudi, Katie Reilly and 6 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature protocols, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Nanoscale advances · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Rational Immunogenicity Modulation of Virus-Like Particles by VLPIM.Computational and structural biotechnology journal · 2026
    Article
  10. Materials today. Bio · 2025
    Review
  11. Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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

16 authors.

Peng Zhang *School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, UK.ORCID 0000-0002-2774-5534
Mingjing Cao *CAS Center for Excellence in Nanoscience and CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, New Cornerstone Science Laboratory, National Center for Nanoscience and Technology of China, Beijing, China.ORCID 0000-0003-1741-3808
Andrew J ChetwyndDepartment of Women's and Children's Health, Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK.ORCID 0000-0001-6648-6881
Klaus FaserlInstitute of Medical Biochemistry, Medical University of Innsbruck, Innsbruck, Austria.
Fazel Abdolahpur MonikhDepartment of Chemical Sciences, University of Padua, Padova, Italy.ORCID 0000-0001-9500-5303
Wei ZhangMetabolomics and Analytics Centre, Leiden Academic Centre for Drug Research, Leiden University, Leiden, the Netherlands.
Rawi RamautarMetabolomics and Analytics Centre, Leiden Academic Centre for Drug Research, Leiden University, Leiden, the Netherlands.
Laura-Jayne A EllisDepartment of Environmental Science and Engineering, University of Science and Technology of China, Hefei, China.ORCID 0000-0003-2781-4509
Hossein Hayat DavoudiDepartment of Environmental Science and Engineering, University of Science and Technology of China, Hefei, China.
Katie ReillyDepartment of Environmental Science and Engineering, University of Science and Technology of China, Hefei, China.ORCID 0000-0002-6054-0645
Rong CaiCAS Center for Excellence in Nanoscience and CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, New Cornerstone Science Laboratory, National Center for Nanoscience and Technology of China, Beijing, China.
Korin E WheelerDepartment of Chemistry and Biochemistry, Santa Clara University, Santa Clara, CA, USA.
Diego Stéfani Teodoro MartinezBrazilian Nanotechnology National Laboratory (LNNano), Brazilian Centre for Research in Energy and Materials (CNPEM), Campinas, Brazil.
Zhiling GuoSchool of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, UK. z.guo@bham.ac.uk.
Chunying ChenCAS Center for Excellence in Nanoscience and CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, New Cornerstone Science Laboratory, National Center for Nanoscience and Technology of China, Beijing, China. chenchy@nanoctr.cn.ORCID 0000-0002-6027-0315
Iseult LynchDepartment of Environmental Science and Engineering, University of Science and Technology of China, Hefei, China. i.lynch@bham.ac.uk.ORCID 0000-0003-4250-4584

Funding

Bureau of International Cooperation, Chinese Academy of Sciences BX2021088Bureau of International Cooperation, Chinese Academy of Sciences XDB36000000, BX2021088EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 731032, 101008099EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 814425EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 814572EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 814572, 814425, 731032, 101008099National Natural Science Foundation of China (National Science Foundation of China) 22027810, 32071402, 22027810, U2032107RCUK | Engineering and Physical Sciences Research Council (EPSRC) 1001634Royal Society 1853690Royal Society 1853690, 2122860
6 · The paper itself

Abstract

A biomolecular coating, or biocorona, forms on the surface of engineered nanomaterials (ENMs) immediately as they enter biological or environmental systems, defining their biological and environmental identity and influencing their fate and performance. This biomolecular layer includes proteins (the protein corona) and other biomolecules, such as nucleic acids and metabolites. To ensure a meaningful and reproducible analysis of the ENMs-associated biocorona, it is essential to streamline procedures for its preparation, separation, identification and characterization, so that studies in different labs can be easily compared, and the information collected can be used to predict the composition, dynamics and properties of biocoronas acquired by other ENMs. Most studies focus on the protein corona as proteins are easier to monitor and characterize than other biomolecules and play crucial roles in receptor engagement and signaling; however, metabolites play equally critical roles in signaling. Here we describe how to reproducibly prepare and characterize biomolecule-coated ENMs, noting especially the steps that need optimization for different types of ENMs. The structure and composition of the biocoronas are characterized using general methods (transmission electron microscopy, dynamic light scattering, capillary electrophoresis-mass spectrometry and liquid chromatography-mass spectrometry) as well as advanced techniques, such as transmission electron cryomicroscopy, synchrotron-based X-ray absorption near edge structure and circular dichroism. We also discuss how to use molecular dynamic simulation to study and predict the interaction between ENMs and biomolecules and the resulting biocorona composition. The application of this protocol can provide mechanistic insights into the formation, composition and evolution of the ENM biocorona, ultimately facilitating the biomedical and agricultural application of ENMs and a better understanding of their impact in the environment.

Indexed as

NanostructuresChromatography, LiquidElectrophoresis, CapillaryMass SpectrometryMicroscopy, Electron, TransmissionProtein CoronaProtein Corona

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.