Evidence map›Paper›PMID 37903891›Full record

ArticleNature nanotechnology2024

A modular approach to enhancing cell membrane-coated nanoparticle functionality using genetic engineering.

Nishta Krishnan, Yao Jiang, Jiarong Zhou, Animesh Mohapatra, Fei-Xing Peng, Yaou Duan, Maya Holay, Sanam Chekuri, Zhongyuan Guo, Weiwei Gao and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature nanotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing 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

75 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Intelligent Programmable Membrane Nanosponge for Early Virus Blocking.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Biomimetic Cell Membrane-Coated MOFs System for Targeted Cancer Therapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  18. Article
  19. Review
  20. Review

15 more citing papers are in PubMed but not listed here.

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

12 authors.

Nishta Krishnan *Department of NanoEngineering, Chemical Engineering Program, and Moores Cancer Center, University of California San Diego, La Jolla, CA, USA.
Yao Jiang *Department of NanoEngineering, Chemical Engineering Program, and Moores Cancer Center, University of California San Diego, La Jolla, CA, USA.
Jiarong ZhouDepartment of NanoEngineering, Chemical Engineering Program, and Moores Cancer Center, University of California San Diego, La Jolla, CA, USA.
Animesh MohapatraDepartment of NanoEngineering, Chemical Engineering Program, and Moores Cancer Center, University of California San Diego, La Jolla, CA, USA.
Fei-Xing PengDepartment of NanoEngineering, Chemical Engineering Program, and Moores Cancer Center, University of California San Diego, La Jolla, CA, USA.
Yaou DuanDepartment of NanoEngineering, Chemical Engineering Program, and Moores Cancer Center, University of California San Diego, La Jolla, CA, USA.
Maya HolayDepartment of NanoEngineering, Chemical Engineering Program, and Moores Cancer Center, University of California San Diego, La Jolla, CA, USA.
Sanam ChekuriDepartment of NanoEngineering, Chemical Engineering Program, and Moores Cancer Center, University of California San Diego, La Jolla, CA, USA.
Zhongyuan GuoDepartment of NanoEngineering, Chemical Engineering Program, and Moores Cancer Center, University of California San Diego, La Jolla, CA, USA.
Weiwei GaoDepartment of NanoEngineering, Chemical Engineering Program, and Moores Cancer Center, University of California San Diego, La Jolla, CA, USA.ORCID 0000-0001-5196-4887
Ronnie H FangDepartment of NanoEngineering, Chemical Engineering Program, and Moores Cancer Center, University of California San Diego, La Jolla, CA, USA. rhfang@ucsd.edu.ORCID 0000-0001-6373-3189
Liangfang ZhangDepartment of NanoEngineering, Chemical Engineering Program, and Moores Cancer Center, University of California San Diego, La Jolla, CA, USA. zhang@ucsd.edu.ORCID 0000-0003-0637-0654

Funding

Tumor-Targeted Chemo-Immunotherapy for Osteosarcoma MetastasisR01CA200574 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LI, SHULIN, ZHANG, LIANGFANG · 2016 to 2020
$1.8M
Motorized delivery of bacterial antigens to mucosal barriers to enhance immunity against infectionR21AI159492 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FANG, RONNIE H · 2022 to 2023
$435k
Inflammation-targeted delivery of corticosteroids using genetically engineered cellular nanoparticlesR21AI175904 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FANG, RONNIE H · 2023 to 2024
$435k
National Science Foundation DMR-1904702NCI NIH HHS R01 CA200574NIAID NIH HHS R21 AI159492NIAID NIH HHS R21 AI175904
6 · The paper itself

Abstract

Since their initial development, cell membrane-coated nanoparticles (CNPs) have become increasingly popular in the biomedical field. Despite their inherent versatility and ability to enable complex biological applications, there is considerable interest in augmenting the performance of CNPs through the introduction of additional functionalities. Here we demonstrate a genetic-engineering-based modular approach to CNP functionalization that can encompass a wide range of ligands onto the nanoparticle surface. The cell membrane coating is engineered to express a SpyCatcher membrane anchor that can readily form a covalent bond with any moiety modified with SpyTag. To demonstrate the broad utility of this technique, three unique targeted CNP formulations are generated using different classes of targeting ligands, including a designed ankyrin repeat protein, an affibody and a single-chain variable fragment. In vitro, the modified nanoparticles exhibit enhanced affinity towards cell lines overexpressing the cognate receptors for each ligand. When formulated with a chemotherapeutic payload, the modularly functionalized nanoparticles display strong targeting ability and growth suppression in a murine tumour xenograft model of ovarian cancer. Our data suggest genetic engineering offers a feasible approach for accelerating the development of multifunctional CNPs for a broad range of biomedical applications.

Indexed as

Genetic EngineeringNanoparticlesAnimalsCell LineCell MembraneHumansMice

Identifiers

PMID37903891
PMCPMC10954421

What OpenQuestion holds

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Registered trials

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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.