Evidence map›Paper›PMID 30458601›Full record

ArticleBiomolecules & therapeutics2019

Cell Surface Antigen Display for Neuronal Differentiation-Specific Tracking.

Sang Chul Kim, Eun-Hye Lee, Ji Hea Yu, Sang-Mi Kim, Bae-Geun Nam, Hee Yong Chung, Yeon-Soo Kim, Sung-Rae Cho, Chang-Hwan Park

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomolecules & therapeutics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 51% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

9 authors at 4 institutions in 2 countries.

Sang Chul KimGraduate School of Biomedical Science and Engineering, Hanyang University, Seoul 04763, Republic of Korea.
Eun-Hye LeeHanyang Biomedical Research Institute, Hanyang University, Seoul 04763, Republic of Korea.
Ji Hea YuDepartment and Research Institute of Rehabilitation Medicine, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.
Sang-Mi KimHanyang Biomedical Research Institute, Hanyang University, Seoul 04763, Republic of Korea.
Bae-Geun NamDepartment and Research Institute of Rehabilitation Medicine, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.
Hee Yong ChungGraduate School of Biomedical Science and Engineering, Hanyang University, Seoul 04763, Republic of Korea.
Yeon-Soo KimDepartment of New Drug Discovery & Development, Graduate School of New Drug Discovery & Development, Chungnam National University, Daejeon 34134, Republic of Korea.
Sung-Rae ChoDepartment and Research Institute of Rehabilitation Medicine, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.
Chang-Hwan ParkGraduate School of Biomedical Science and Engineering, Hanyang University, Seoul 04763, Republic of Korea.
Hanyang University · KRYonsei University · KRBiomedical Research Institute · USChungnam National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell therapeutic agents for treating degenerative brain diseases using neural stem cells are actively being developed. However, few systems have been developed to monitor in real time whether the transplanted neural stem cells are actually differentiated into neurons. Therefore, it is necessary to develop a technology capable of specifically monitoring neuronal differentiation

Indexed as

DifferentiationIn vivo monitoringNeuron specificSurface antigen

Identifiers

PMID30458601
PMCPMC6319552
OpenAlexW2901574592

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.