Evidence map›Paper›PMID 38136656›Full record

ReviewBiomolecules2023

Fluorescence-Based Mono- and Multimodal Imaging for In Vivo Tracking of Mesenchymal Stem Cells.

Wan Su Yun, Hanhee Cho, Seong Ik Jeon, Dong-Kwon Lim, Kwangmeyung Kim

Abstract readReview
In one paragraph

Review in Biomolecules, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
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  4. Molecular imaging of stem cell therapies in ischemic stroke.European journal of nuclear medicine and molecular imaging · 2025
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  7. Article
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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

5 authors.

Wan Su YunKU-KIST Graduate School of Converging Science and Technology, Korea University, Seoul 02841, Republic of Korea.
Hanhee ChoGraduate School of Pharmaceutical Sciences, College of Pharmacy, Ewha Woman's University, Seoul 03760, Republic of Korea.
Seong Ik JeonGraduate School of Pharmaceutical Sciences, College of Pharmacy, Ewha Woman's University, Seoul 03760, Republic of Korea.
Dong-Kwon LimKU-KIST Graduate School of Converging Science and Technology, Korea University, Seoul 02841, Republic of Korea.
Kwangmeyung KimGraduate School of Pharmaceutical Sciences, College of Pharmacy, Ewha Woman's University, Seoul 03760, Republic of Korea.ORCID 0000-0001-7919-188X

Funding

National Research Foundation of Korea NRF-2022M3H4A1A03067401
6 · The paper itself

Abstract

The advancement of stem cell therapy has offered transformative therapeutic outcomes for a wide array of diseases over the past decades. Consequently, stem cell tracking has become significant in revealing the mechanisms of action and ensuring safe and effective treatments. Fluorescence stands out as a promising choice for stem cell tracking due to its myriad advantages, including high resolution, real-time monitoring, and multi-fluorescence detection. Furthermore, combining fluorescence with other tracking modalities-such as bioluminescence imaging (BLI), positron emission tomography (PET), photoacoustic (PA), computed tomography (CT), and magnetic resonance (MR)-can address the limitations of single fluorescence detection. This review initially introduces stem cell tracking using fluorescence imaging, detailing various labeling strategies such as green fluorescence protein (GFP) tagging, fluorescence dye labeling, and nanoparticle uptake. Subsequently, we present several combinations of strategies for efficient and precise detection.

Indexed as

Mesenchymal Stem CellsMagnetic Resonance ImagingMultimodal ImagingPositron-Emission TomographyTomography, X-Ray Computedfluorescence imagingin vivo cell imagingmultimodal imagingstem cell tracking

Identifiers

PMID38136656
PMCPMC10742164

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.