ArticleNanoscale advances2020
Poly-d-lysine coated nanoparticles to identify pro-inflammatory macrophages.
Article in Nanoscale advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
The trial behind it
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Who cites it
4 citing papers in PubMed.
- Metal ions and nanomaterials for targeted bone cancer immunotherapy.Frontiers in immunology · 2025Review
- Recent advances of nanoparticles on bone tissue engineering and bone cells.Nanoscale advances · 2024Review
- Interactions of neural-like cells with 3D-printed polycaprolactone with different inner diameters for neural regeneration.Journal of dental sciences · 2024Article
- Oxidative Degradation of Sequence-Defined Peptoid Oligomers.Molecular systems design & engineering · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Identifying pro-inflammatory macrophages (M1) is of immense importance to diagnose, monitor, and treat various pathologies. In addition, adoptive cell therapies, where harvested cells are isolated, modified to express an M1-like phenotype, then re-implanted to the patient, are also becoming more prevalent to treat diseases such as cancer. In a step toward identifying, labeling, and monitoring macrophage phenotype for adoptive cell therapies, we developed a reactive oxygen species (ROS)-sensitive, gold nanoparticle (AuNP) that fluorescently labels M1 macrophages. AuNPs are electrostatically coated with a proteolysis resistant, fluorescein isothiocyanate-conjugated, poly-d-lysine (PDL-FITC) that is susceptible to backbone cleavage by ROS. When PDL-FITC is bound to AuNPs, fluorescence is quenched
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Registered trials
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.