Evidence map›Paper›PMID 22540867›Full record

ArticleACS nano2012

Nuclear mapping of nanodrug delivery systems in dynamic cellular environments.

Ashwinkumar A Bhirde, Ankur Kapoor, Gang Liu, Ramiro Iglesias-Bartolome, Albert Jin, Guofeng Zhang, Ruijun Xing, Seulki Lee, Richard D Leapman, J Silvio Gutkind and 1 more

Abstract read
In one paragraph

Article in ACS nano, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
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  8. 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

11 authors.

Ashwinkumar A BhirdeLaboratory of Molecular Imaging and Nanomedicine, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, Maryland 20892, USA.
Ankur Kapoor
Gang Liu
Ramiro Iglesias-Bartolome
Albert Jin
Guofeng Zhang
Ruijun Xing
Seulki Lee
Richard D Leapman
J Silvio Gutkind
Xiaoyuan Chen

Funding

Laboratory of Molecular Imaging and NanomedicineZIAEB000073 · NIBIB · NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING · PI CHEN, XIAOYUAN · 2010 to 2020
$32.8M
Molecular Mechanisms Of Growth Control And CarcinogenesisZIADE000551 · NIDCR · NATIONAL INSTITUTE OF DENTAL & CRANIOFACIAL RESEARCH · PI GUTKIND, JORGE SILVIO · 2009 to 2015
$11.5M
Oral CarcinogenesisZIADE000558 · NIDCR · NATIONAL INSTITUTE OF DENTAL & CRANIOFACIAL RESEARCH · PI GUTKIND, JORGE SILVIO · 2009 to 2015
$11.4M
Electron MicroscopyZICEB000080 · NIBIB · NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING · PI ZHANG, GUOFENG · 2011 to 2025
$8.2M
Biomedical Studies and Cellular Imaging via Atomic Force MicroscopyZIAEB000015 · NIBIB · NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING · PI JIN, ALBERT J · 2009 to 2025
$5.8M
Electron microscopy of therapeutic and diagnostic nanoparticlesZIAEB000083 · NIBIB · NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING · PI LEAPMAN, RICHARD · 2012 to 2019
$1.2M
Intramural NIH HHS Z99 EB999999Intramural NIH HHS ZIA EB000015Intramural NIH HHS ZIA EB000073
6 · The paper itself

Abstract

Nanoformulations have shown great promise for delivering chemotherapeutics and hold tremendous clinical relevance. However nuclear mapping of the chemodrugs is important to predict the success of the nanoformulation. In this study fluorescence microscopy and a subcellular tracking algorithm were used to map the diffusion of chemotherapeutic drugs in cancer cells. Positively charged nanoparticles efficiently carried the chemodrug across the cell membrane. The algorithm helped map free drug and drug-loaded nanoparticles, revealing a varying nuclear diffusion pattern of the chemotherapeutics in drug-sensitive and -resistant cells in a live dynamic cellular environment. While the drug-sensitive cells showed an exponential uptake of the drug with time, resistant cells showed random and asymmetric drug distribution. Moreover nanoparticles carrying the drug remained in the perinuclear region, while the drug accumulated in the cell nuclei. The tracking approach has enabled us to predict the therapeutic success of different nanoscale formulations of doxorubicin.

Indexed as

AlgorithmsCell Line, TumorCell NucleusDoxorubicinHumansMicroscopy, FluorescenceMolecular ImagingNanocapsulesNeoplasms, ExperimentalPattern Recognition, AutomatedDoxorubicinNanocapsules

Identifiers

PMID22540867
PMCPMC3383922

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.