Evidence map›Paper›PMID 25184005›Full record

ArticleJournal of genomics2014

Characterization of distinct classes of differential gene expression in osteoblast cultures from non-syndromic craniosynostosis bone.

Monica L Rojas-Peña, Rene Olivares-Navarrete, Sharon Hyzy, Dalia Arafat, Zvi Schwartz, Barbara D Boyan, Joseph Williams, Greg Gibson

Open access · goldAbstract read
In one paragraph

Article in Journal of genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.5field-weighted citation impact, top 27% 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

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. TheFrontiers in molecular neuroscience · 2021
    Article
  7. 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

8 authors at 1 institution in 1 country.

Monica L Rojas-Peña1. Center for Integrative Genomics, School of Biology, Georgia Institute of Technology, Atlanta, GA, USA.
Rene Olivares-Navarrete2. Department of Biomedical Engineering, School of Engineering, Virginia Commonwealth University, Richmond, VA.
Sharon Hyzy2. Department of Biomedical Engineering, School of Engineering, Virginia Commonwealth University, Richmond, VA.
Dalia Arafat1. Center for Integrative Genomics, School of Biology, Georgia Institute of Technology, Atlanta, GA, USA.
Zvi Schwartz2. Department of Biomedical Engineering, School of Engineering, Virginia Commonwealth University, Richmond, VA.
Barbara D Boyan2. Department of Biomedical Engineering, School of Engineering, Virginia Commonwealth University, Richmond, VA. ; 3. Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA.
Joseph Williams4. Center for Craniofacial Disorders, Scottish Rite Hospital and Children's Healthcare of Atlanta.
Greg Gibson1. Center for Integrative Genomics, School of Biology, Georgia Institute of Technology, Atlanta, GA, USA.
Georgia Institute of Technology · US

Funding

Statistical Methods for X-Chromosome Genetic DataP01GM099568 · NIGMS · UNIVERSITY OF WASHINGTON · PI WEIR, BRUCE S. · 2012 to 2016
$7.3M
NIGMS NIH HHS P01 GM099568
6 · The paper itself

Abstract

Craniosynostosis, the premature fusion of one or more skull sutures, occurs in approximately 1 in 2500 infants, with the majority of cases non-syndromic and of unknown etiology. Two common reasons proposed for premature suture fusion are abnormal compression forces on the skull and rare genetic abnormalities. Our goal was to evaluate whether different sub-classes of disease can be identified based on total gene expression profiles. RNA-Seq data were obtained from 31 human osteoblast cultures derived from bone biopsy samples collected between 2009 and 2011, representing 23 craniosynostosis fusions and 8 normal cranial bones or long bones. No differentiation between regions of the skull was detected, but variance component analysis of gene expression patterns nevertheless supports transcriptome-based classification of craniosynostosis. Cluster analysis showed 4 distinct groups of samples; 1 predominantly normal and 3 craniosynostosis subtypes. Similar constellations of sub-types were also observed upon re-analysis of a similar dataset of 199 calvarial osteoblast cultures. Annotation of gene function of differentially expressed transcripts strongly implicates physiological differences with respect to cell cycle and cell death, stromal cell differentiation, extracellular matrix (ECM) components, and ribosomal activity. Based on these results, we propose non-syndromic craniosynostosis cases can be classified by differences in their gene expression patterns and that these may provide targets for future clinical intervention.

Indexed as

Biomarkers.Non-syndromic craniosynostosisPersonalized medicineRNA-SeqTranscriptome profile

Identifiers

PMID25184005
PMCPMC4150121
OpenAlexW2170810696

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.