Immortalized Rat Tendon-Derived Stem Cells for Tendon Tissue Engineering.

Kat Tik Lau, Hui Wang, Jinxiang Zhang, Dan Michelle Wang, Dai Fei Elmer Ker

Abstract read

In one paragraph

Article in Bioengineering (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing 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

1 citing paper in PubMed.

Development of mechanically optimized biomimetic hybrid scaffold-stem cell constructs for functional tendon regeneration and restoration of mechanical integrity.PloS one · 2026
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

5 authors.

Kat Tik LauSchool of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.

Hui WangDepartment of Medical Genetics, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.ORCID 0000-0003-2568-7200

Jinxiang ZhangDepartment of Emergency Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.ORCID 0000-0002-5447-272X

Dan Michelle WangSchool of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0002-5934-9085

Dai Fei Elmer KerDepartment of Biomedical Engineering, Faculty of Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China.ORCID 0000-0003-3434-8390

Funding

National Natural Science Foundation of China N_CUHK409/23The Innovation Technology Fund Health@InnoHKThe Innovation Technology Fund ITS/020/23MXThe Innovation Technology Fund ITS/267/23The Research Grants Council of Hong Kong SAR 14118620The Research Grants Council of Hong Kong SAR 14121121The Research Grants Council of Hong Kong SAR 14213922

6 · The paper itself

Abstract

Tendon-derived stem cells (TDSCs) are a unique cell population found in tendons, exhibiting both mesenchymal stem cell (MSC)-like phenotypes and tendon-specific markers. They have emerged as a promising research tool in tendon-related tissue engineering studies. However, there is currently no well-characterized TDSC line with MSC-related phenotypes for investigating tendon biology or developing therapeutics. Here, we established an immortalized monoclonal TDSC, named iTDSC#6, from the Achilles tendon of an adult male Sprague-Dawley rat. Cell clones were characterized for MSC-associated cell surface markers, colony formation capacity, and trilineage differentiation potentials, tenogenic potential and

Indexed as

immortalized mesenchymal stem celltendon-derived stem cellstissue engineering

Identifiers

PMID41899886

DOI10.3390/bioengineering13030354

PMCPMC13024414

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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.