Evidence map›Paper›PMID 41875423›Full record

ArticleNano letters2026

High-Curvature Features Improve Targeting of Nanoconstructs with Small-Molecule Ligands.

Jessica Chiu, Peter T Smith, Yuhao Leo Wu, Teri W Odom

Abstract read
In one paragraph

Article in Nano letters, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Funding

TR&D 7: Cell Specific ProteomicsP41GM108569 · NIGMS · NORTHWESTERN UNIVERSITY · PI KELLEHER, NEIL L · 2015 to 2024
$13.6M
Continuous Probing of Nanoconstruct-Cell Interactions at Biologically Relevant Time ScalesR01GM131421 · NIGMS · NORTHWESTERN UNIVERSITY · PI Teri Wang Odom · 2019 to 2026
$2.1M
An IC-ICP-MS for advanced speciation and metalomics analysisS10OD020118 · OD · NORTHWESTERN UNIVERSITY · PI O'HALLORAN, THOMAS V · 2015 to 2015
$268k
National Science Foundation DGE-2234667National Science Foundation DMR-2308691National Science Foundation ECCS-2025633NIGMS NIH HHS P41 GM108569NIGMS NIH HHS R01 GM131421NIH HHS S10 OD020118
6 · The paper itself

Abstract

Small molecules are promising ligands because of their affinity for cancer targets, chemical stability, controlled synthesis, and ease of characterization. Under biological conditions, small-molecule ligands grafted to nanoconstructs become coated with nonspecific proteins, collectively known as a protein corona, which physically obstruct targeting interactions because of their orders of magnitude difference in size. Here, we investigated how nanoparticle shape affects folic-acid ligand (FA) binding to folate receptors on cancer cell membranes using ensemble and single-particle analysis. From dot blot assays, we determined that gold nanoconstructs with spiky cores (tip features < 5 nm) and FA ligands bind more folate receptors compared to spherical cores of similar surface areas. Single-nanoconstruct tracking showed a higher proportion of spiky constructs displayed confined motion, which we attributed to binding of folate receptors. Our findings reveal that nanoparticles with anisotropic nanofeatures can circumvent adverse protein corona effects and enhance targeting of nanoconstructs with small-molecule ligands.

Indexed as

Folic AcidGoldMetal NanoparticlesFolate Receptors, GPI-AnchoredHumansLigandsProtein BindingProtein CoronaFolate Receptors, GPI-AnchoredFolic AcidGoldLigandsProtein Coronafolic acidligand−receptor interactionsprotein coronasingle particle trackingsmall molecules

Identifiers

PMID41875423
PMCPMC13268698

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.