ArticleNano letters2022
Absolute Quantification of Nanoparticle Interactions with Individual Human B Cells by Single Cell Mass Spectrometry.
Article in Nano letters, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed, 18 citations in OpenAlex.
- Quantitative single cell analysis of gold nanoparticle association across a mouse triple-negative breast cancer cell line and blood immune cell populations.Analytical and bioanalytical chemistry · 2026Article
- Label-Free and High-Throughput Quantification of Nanoparticle-Cell Interactions at the Single-Cell Level with Flow Cytometry.Analytical chemistry · 2026Article
- Article
- Targeting Intracellular miRNA in Different Cancer Cell Models Using Gold Nanoprobes and Combined Mass Cytometry and Single Particle ICP-MS.Nano letters · 2025Article
- The Predictive Synthesis of Monodisperse and Biocompatible Gold Nanoparticles.ACS applied nano materials · 2024Article
- High-Throughput Single-Cell Analysis of Nanoparticle-Cell Interactions.Trends in analytical chemistry : TRAC · 2023Article
- Quantification of monodisperse and biocompatible gold nanoparticles by single-particle ICP-MS.Analytical and bioanalytical chemistry · 2023Article
- Quantifying Intracellular Nanoparticle Distributions with Three-Dimensional Super-Resolution Microscopy.ACS nano · 2023Article
- Gold Nanoparticles Disrupt the IGFBP2/mTOR/PTEN Axis to Inhibit Ovarian Cancer Growth.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022Article
- Controlling Nanoparticle Uptake in Innate Immune Cells with Heparosan Polysaccharides.Nano letters · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 4 institutions in 2 countries.
Funding
Abstract
We report on the absolute quantification of nanoparticle interactions with individual human B cells using quadrupole-based inductively coupled plasma mass spectrometry (ICP-MS). This method enables the quantification of nanoparticle-cell interactions at single nanoparticle and single cell levels. We demonstrate the efficient and accurate detection of individually suspended B cells and found an ∼100-fold higher association of colloidally stable positively charged nanoparticles with single B cells than neutrally charged nanoparticles. We confirmed that these nanoparticles were internalized by individual B cells and determined that the internalization occurred via energy-dependent pathways consistent with endocytosis. Using dual analyte ICP-MS, we determined that >80% of single B cells were positive for nanoparticles. Our study demonstrates an ICP-MS workflow for the absolute quantification of nanoparticle-cell interactions with single cell and single nanoparticle resolution. This unique workflow could inform the rational design of various nanomaterials for controlling cellular interactions, including immune cell-nanoparticle interactions.
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What OpenQuestion holds
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.