Evidence map›Paper›PMID 30836939›Full record

ArticleBMC genomics2019

Transcriptomic analysis of different tissue layers in antler growth Center in Sika Deer (Cervus nippon).

Hengxing Ba, Datao Wang, Tung On Yau, Yudong Shang, Chunyi Li

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

36 citing papers in PubMed, 50 citations in OpenAlex.

  1. Article
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  8. A Novel Deer Antler-Inspired Bone Graft Triggers Rapid Bone Regeneration.Advanced materials (Deerfield Beach, Fla.) · 2025
    Article
  9. Article
  10. Optimizing protein yield from growing deer antlers.Frontiers in bioengineering and biotechnology · 2025
    Article
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  12. Article
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  15. Review
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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

5 authors at 4 institutions in 2 countries.

Hengxing BaState Key Laboratory for Molecular Biology of Special Wild Economic Animals, Institute of Special Wild Economic Animals and Plants, Chinese Academy of Agricultural Sciences, Changchun, 130112, China.
Datao WangState Key Laboratory for Molecular Biology of Special Wild Economic Animals, Institute of Special Wild Economic Animals and Plants, Chinese Academy of Agricultural Sciences, Changchun, 130112, China.
Tung On YauCollege of Science and Technology, Nottingham Trent University, Clifton Campus, Nottingham, NG11 8NS, UK.
Yudong ShangState Key Laboratory for Molecular Biology of Special Wild Economic Animals, Institute of Special Wild Economic Animals and Plants, Chinese Academy of Agricultural Sciences, Changchun, 130112, China.
Chunyi LiState Key Laboratory for Molecular Biology of Special Wild Economic Animals, Institute of Special Wild Economic Animals and Plants, Chinese Academy of Agricultural Sciences, Changchun, 130112, China. Lichunyi1959@163.com.
Institute of Special Animal and Plant Sciences · CNChangchun University · CNChinese Academy of Agricultural Sciences · CNNottingham Trent University · GB

Funding

Central Public-interest Scientific Institution Basal Research Fund 1610342016003Natural Science Foundation of Jilin Province of China 20170101003JCthe Strategic Priority Research Program of the Chinese Academy of Sciences XDA16010403
6 · The paper itself

Abstract

backgroundWith the unprecedented rapid growth rate (up to 2.75 cm/day), velvet antler is an invaluable model for the identification of potent growth factors and signaling networks for extremely fast growing tissues, mainly cartilage. Antler growth center (AGC) locates in its tip and consists of five tissue layers: reserve mesenchyme (RM), precartilage (PC), transition zone (TZ), cartilage (CA) and mineralized cartilage (MC). The aim of this study was to investigate the transcription dynamics in the AGC using RNA-seq technology.

resultsFive tissue layers in the AGC were collected from three 3-year-old male sika deer using our previously reported sampling method (morphologically distinguishable). After sequencing (15 samples; triplicates/tissue layer), we assembled a reference transcriptome de novo and used RNA-seq to measure gene expression profiles across these five layers. Nine differentially expressed genes (DEGs) were selected from our data and subsequently verified using qRT-PCR. The results showed a high consistency with the RNA-seq results (R

conclusionWe have successfully assembled a reference transcriptome, generated gene expression profiling across the five tissue layers in the AGC, and identified nine co-expressed modules that contain 370 hub genes and genes predorminantly expressed in and highly relevant to each tissue layer. We believe our findings have laid the foundation for the identification of novel genes for rapid proliferation and chondrogenic differentiation of antler cells.

Indexed as

Gene Expression ProfilingAnimalsAntlersCartilageCell DifferentiationChondrogenesisDeerGene Expression Regulation, DevelopmentalMaleOrgan SpecificityOsteogenesisTranscriptomeAntlerAntler growth centerChondrogenesisRNA-seqTissue layerTranscriptome

Identifiers

PMID30836939
PMCPMC6402185
OpenAlexW2932213815

What OpenQuestion holds

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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.