Evidence map›Paper›PMID 29978741›Full record

SynthesisStem cells and development2018

Understanding Tendons: Lessons from Transgenic Mouse Models.

Manuel Delgado Caceres, Christian G Pfeifer, Denitsa Docheva

Open access · bronzeAbstract readSystematic Review
In one paragraph

Synthesis in Stem cells and development, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.0field-weighted citation impact, top 10% 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

18 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Comparative Analysis of Tendon Healing in a Clinically Relevant Mouse Model of Achilles Tendon Repair.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Advanced Gene Therapy Strategies for the Repair of ACL Injuries.International journal of molecular sciences · 2022
    Review
  7. Article
  8. Article
  9. Article
  10. Intrinsic and growth-mediated cell and matrix specialization during murine meniscus tissue assembly.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2021
    Article
  11. Bringing tendon biology to heel: Leveraging mechanisms of tendon development, healing, and regeneration to advance therapeutic strategies.Developmental dynamics : an official publication of the American Association of Anatomists · 2021
    Review
  12. Article
  13. Review
  14. In Vitro Innovation of Tendon Tissue Engineering Strategies.International journal of molecular sciences · 2020
    Review
  15. Article
  16. Article
  17. Article
  18. 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

3 authors at 2 institutions in 2 countries.

Manuel Delgado Caceres1 Experimental Trauma Surgery, Department of Trauma Surgery, University Regensburg Medical Centre , Regensburg, Germany .
Christian G Pfeifer1 Experimental Trauma Surgery, Department of Trauma Surgery, University Regensburg Medical Centre , Regensburg, Germany .
Denitsa Docheva1 Experimental Trauma Surgery, Department of Trauma Surgery, University Regensburg Medical Centre , Regensburg, Germany .
University Hospital Regensburg · DEMedical University Plovdiv · BG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tendons and ligaments are connective tissues that have been comparatively less studied than muscle and cartilage/bone, even though they are crucial for proper function of the musculoskeletal system. In tendon biology, considerable progress has been made in identifying tendon-specific genes (Scleraxis, Mohawk, and Tenomodulin) in the past decade. However, besides tendon function and the knowledge of a small number of important players in tendon biology, neither the ontogeny of the tenogenic lineage nor signaling cascades have been fully understood. This results in major drawbacks in treatment and repair options following tendon degeneration. In this review, we have systematically evaluated publications describing tendon-related genes, which were studied in depth and characterized by using knockout technologies and the subsequently generated transgenic mouse models (Tg) (knockout mice, KO). We report in a tabular manner, that from a total of 24 tendon-related genes, in 22 of the respective knockout mouse models, phenotypic changes were detected. Additionally, in some of the models it was described at which developmental stages these changes appeared and progressed. To summarize, only loss of Scleraxis and TGFβ signaling led to severe tendon developmental phenotypes, while mice deficient for various proteoglycans, Mohawk, EGR1 and 2, and Tenomodulin presented mild phenotypes. These data suggest that the tendon developmental system is well organized, orchestrated, and backed up; this is even more evident among the members of the proteoglycan family, where the compensatory effects are much clearer. In future, it will be of great importance to discover additional master tendon transcription factors and the genes that play crucial roles in tendon development. This would improve our understanding of the genetic makeup of tendons, and will increase the chances of generating tendon-specific drugs to advance overall treatment strategies.

Indexed as

Gene Expression Regulation, DevelopmentalAnimalsBasic Helix-Loop-Helix ProteinsGenetic Association StudiesHomeodomain ProteinsLigamentsMembrane ProteinsMice, KnockoutMice, TransgenicSignal TransductionTendonsBasic Helix-Loop-Helix ProteinsHomeodomain ProteinsMembrane Proteinsmohawk protein, mouseScx protein, mouseTnmd protein, mouseknockout micemice modelstendon and ligamentstendon biologytendon phenotypetransgenic technology

Identifiers

PMID29978741
PMCPMC6121181
OpenAlexW2828663997

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.