Evidence map›Paper›PMID 25939643›Full record

ArticleACS applied materials & interfaces2015

Multifunctional biocompatible graphene oxide quantum dots decorated magnetic nanoplatform for efficient capture and two-photon imaging of rare tumor cells.

Yongliang Shi, Avijit Pramanik, Christine Tchounwou, Francisco Pedraza, Rebecca A Crouch, Suhash Reddy Chavva, Aruna Vangara, Sudarson Sekhar Sinha, Stacy Jones, Dhiraj Sardar and 2 more

Abstract read
In one paragraph

Article in ACS applied materials & interfaces, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

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  17. Encapsulation for Cancer Therapy.Molecules (Basel, Switzerland) · 2020
    Review
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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.

Yongliang Shi†Department of Chemistry and Biochemistry, Jackson State University, Jackson, Mississippi 39217, United States.
Avijit Pramanik†Department of Chemistry and Biochemistry, Jackson State University, Jackson, Mississippi 39217, United States.
Christine Tchounwou†Department of Chemistry and Biochemistry, Jackson State University, Jackson, Mississippi 39217, United States.
Francisco Pedraza‡Department of Physics and Astronomy, University of Texas at San Antonio, San Antonio, Texas 78249, United States.
Rebecca A Crouch†Department of Chemistry and Biochemistry, Jackson State University, Jackson, Mississippi 39217, United States.
Suhash Reddy Chavva†Department of Chemistry and Biochemistry, Jackson State University, Jackson, Mississippi 39217, United States.
Aruna Vangara†Department of Chemistry and Biochemistry, Jackson State University, Jackson, Mississippi 39217, United States.
Sudarson Sekhar Sinha†Department of Chemistry and Biochemistry, Jackson State University, Jackson, Mississippi 39217, United States.
Stacy Jones†Department of Chemistry and Biochemistry, Jackson State University, Jackson, Mississippi 39217, United States.
Dhiraj Sardar‡Department of Physics and Astronomy, University of Texas at San Antonio, San Antonio, Texas 78249, United States.
Craig Hawker§Department of Chemistry and Biochemistry and Materials Research Laboratory, Materials Department, University of California at Santa Barbara, Santa Barbara, California 93106, United States.
Paresh Chandra Ray†Department of Chemistry and Biochemistry, Jackson State University, Jackson, Mississippi 39217, United States.

Funding

UTSA RISE Research Training ProgramR25GM060655 · NIGMS · UNIVERSITY OF TEXAS SAN ANTONIO · PI BAREA-RODRIGUEZ, EDWIN J · 2000 to 2022
$21.6M
RCMI-Center for Environmental HealthG12MD007581 · NIMHD · JACKSON STATE UNIVERSITY · PI TCHOUNWOU, PAUL B. · 2012 to 2017
$11.2M
NIGMS NIH HHS R25 GM060655NIMHD NIH HHS G12 MD007581NIMHD NIH HHS G12MD007581
6 · The paper itself

Abstract

Circulating tumor cells (CTCs) are extremely rare cells in blood containing billions of other cells. The selective capture and identification of rare cells with sufficient sensitivity is a real challenge. Driven by this need, this manuscript reports the development of a multifunctional biocompatible graphene oxide quantum dots (GOQDs) coated, high-luminescence magnetic nanoplatform for the selective separation and diagnosis of Glypican-3 (GPC3)-expressed Hep G2 liver cancer tumor CTCs from infected blood. Experimental data show that an anti-GPC3-antibody-attached multifunctional nanoplatform can be used for selective Hep G2 hepatocellular carcinoma tumor cell separation from infected blood containing 10 tumor cells/mL of blood in a 15 mL sample. Reported data indicate that, because of an extremely high two-photon absorption cross section (40530 GM), an anti-GPC3-antibody-attached GOQDs-coated magnetic nanoplatform can be used as a two-photon luminescence platform for selective and very bright imaging of a Hep G2 tumor cell in a biological transparency window using 960 nm light. Experimental results with nontargeted GPC3(-) and SK-BR-3 breast cancer cells show that multifunctional-nanoplatform-based cell separation, followed by two-photon imaging, is highly selective for Hep G2 hepatocellular carcinoma tumor cells.

Indexed as

Quantum DotsBiocompatible MaterialsGraphiteHep G2 CellsHumansMagnetite NanoparticlesMaterials TestingMicroscopy, Fluorescence, MultiphotonNanoconjugatesNeoplastic Cells, CirculatingOxidesParticle SizeRare DiseasesReproducibility of ResultsSensitivity and SpecificityBiocompatible MaterialsGraphiteMagnetite NanoparticlesNanoconjugatesOxidesgraphene oxide quantum dotshighly efficient two-photon-absorbing materialluminescent magnetic nanoplatformrare liver cancer cell separation from bloodselective two-photon imaging

Identifiers

PMID25939643
PMCPMC4570252

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.