Evidence map›Paper›PMID 30181604›Full record

ArticleScientific reports2018

Safety and Optimization of Metabolic Labeling of Endothelial Progenitor Cells for Tracking.

Sang-Soo Han, Hye-Eun Shim, Soon-Jung Park, Byoung-Chul Kim, Dong-Eun Lee, Hyung-Min Chung, Sung-Hwan Moon, Sun-Woong Kang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. 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
1.6field-weighted citation impact, top 18% of its field
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, 28 citations in OpenAlex.

  1. Beyond labeling: differential AcRegenerative biomaterials · 2026
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  11. Towards structure-focused glycoproteomics.Biochemical Society transactions · 2021
    Review
  12. Article
  13. Review
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

8 authors at 5 institutions in 1 country.

Sang-Soo HanPredictive Model Research Center, Korea Institute of Toxicology, Daejeon, Korea.
Hye-Eun ShimPredictive Model Research Center, Korea Institute of Toxicology, Daejeon, Korea.
Soon-Jung ParkDepartment of Stem Cell Biology, School of Medicine, Konkuk University, Seoul, Korea.
Byoung-Chul KimThe Genomics Institute, Ulsan National Institute of Science and Technology, Ulsan, Korea.
Dong-Eun LeeAdvanced Radiation Technology Institute, Korea Atomic Energy Research Institute, Jeonbuk, Korea.
Hyung-Min ChungDepartment of Stem Cell Biology, School of Medicine, Konkuk University, Seoul, Korea.
Sung-Hwan MoonDepartment of Stem Cell Biology, School of Medicine, Konkuk University, Seoul, Korea. sunghwanmoon@kku.ac.kr.
Sun-Woong KangPredictive Model Research Center, Korea Institute of Toxicology, Daejeon, Korea. swkang@kitox.re.kr.
Konkuk University · KRKorea Institute of Toxicology · KRKorea Atomic Energy Research Institute · KRKorea University of Science and Technology · KRUlsan National Institute of Science and Technology · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic labeling is one of the most powerful methods to label the live cell for in vitro and in vivo tracking. However, the cellular mechanisms by modified glycosylation due to metabolic agents are not fully understood. Therefore, metabolic labeling has not yet been widely used in EPC tracking and labeling. In this study, cell functional properties such as proliferation, migration and permeability and gene expression patterns of metabolic labeling agent-treated hUCB-EPCs were analyzed to demonstrate cellular effects of metabolic labeling agents. As the results, 10 μM Ac4ManNAz treatment had no effects on cellular function or gene regulations, however, higher concentration of Ac4ManNAz (>20 μM) led to the inhibition of functional properties (proliferation rate, viability and rate of endocytosis) and down-regulation of genes related to cell adhesion, PI3K/AKT, FGF and EGFR signaling pathways. Interestingly, the new blood vessel formation and angiogenic potential of hUCB-EPCs were not affected by Ac4ManNAz concentration. Based on our results, we suggest 10 μM as the optimal concentration of Ac4ManNAz for in vivo hUCB-EPC labeling and tracking. Additionally, we expect that our approach can be used for understanding the efficacy and safety of stem cell-based therapy in vivo.

Indexed as

AzidesCell LineCell MovementCell ProliferationCell TrackingEndocytosisEndothelial Progenitor CellsHexosaminesHumansStaining and LabelingTranscriptomeAzidesHexosaminesperacetylated N-azidoacetylmannosamine

Identifiers

PMID30181604
PMCPMC6123424
OpenAlexW2889507738

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.