Evidence map›Paper›PMID 17146666›Full record

ArticleMolecular genetics and genomics : MGG2007

Gene expression dynamics in deer antler: mesenchymal differentiation toward chondrogenesis.

István Gyurján, Andrea Molnár, Adrienn Borsy, Viktor Stéger, László Hackler, Zoltán Zomborszky, Péter Papp, Erno Duda, Ferenc Deák, Péter Lakatos and 2 more

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Article in Molecular genetics and genomics : MGG, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Review
  2. TheBiology · 2025
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  17. Transcriptome analysis of sika deer in China.Molecular genetics and genomics : MGG · 2016
    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

12 authors.

István GyurjánInstitute of Genetics, Agricultural Biotechnology Center, Szent-Györgyi Albert u 4, 2101, Gödöllo, Hungary.
Andrea Molnár
Adrienn Borsy
Viktor Stéger
László Hackler
Zoltán Zomborszky
Péter Papp
Erno Duda
Ferenc Deák
Péter Lakatos
László G Puskás
László Orosz

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Annual re-growth of deer antler represents a unique example of complete organ regeneration. Because antler mesenchymal cells retain their embryonic capacity to develop into cartilage or bone, studying antler development provides a natural system to follow gene expression changes during mesenchymal differentiation toward chondrogenic/osteogenic lineage. To identify novel genes involved either in early events of mesenchymal cell specialization or in robust bone development, we have introduced a 3 K heterologous microarray set-up (deer cDNA versus mouse template). Fifteen genes were differentially expressed; genes for housekeeping, regulatory functions (components of different signaling pathways, including FGF, TGFbeta, Wnt), and genes encoding members of the Polycomb group were represented. Expression dynamics for genes are visualized by an expression logo. The expression profile of the gene C21orf70 of unknown function is described along with the effects when over-expressed; furthermore the nuclear localization of the cognate protein is shown. In this report, we demonstrate the particular advantage of the velvet antler model in bone research for: (1) identification of mesenchymal and precartilaginous genes and (2) targeting genes upregulated in robust cartilage development.

Indexed as

Amino Acid SequenceAnimalsAntlersBase SequenceChondrogenesisCloning, MolecularDeerDNA PrimersGene Expression ProfilingGene Expression Regulation, DevelopmentalHumansIn Situ HybridizationMaleMesodermMiceMice, TransgenicDNA PrimersPolycomb-Group ProteinsRepressor ProteinsRNA, Messenger

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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.