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      Characterization of Distinct Classes of Differential Gene Expression in Osteoblast Cultures from Non-Syndromic Craniosynostosis Bone

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          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.

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          Most cited references29

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          A population-based study of craniosynostosis in metropolitan Atlanta, 1989-2003.

          Craniosynostosis is a birth defect characterized by premature fusion of one or more cranial sutures. We describe the birth prevalence of craniosynostosis and related risk factors among infants born to residents of metropolitan Atlanta during 1989-2003. Data from the Metropolitan Atlanta Congenital Defects Program (MACDP) were used to identify infants with craniosynostosis. Case records with a code for craniosynostosis were reviewed to substantiate the diagnosis of craniosynostosis and to classify infants as having isolated craniosynostosis (no other unrelated major defects), multiple defects (one or more additional major, unrelated defects), or a syndrome (recognized or strongly suspected single-gene condition or chromosome abnormality). Vital records data on births of Georgia residents were used to analyze craniosynostosis prevalence by year of birth, maternal race and age, parity, plurality, and infants' sex, birth weight, and gestational age. We identified 281 infants born with craniosynostosis in metropolitan Atlanta during 1989-2003: 84% with isolated craniosynostosis, 7% with multiple defects, and 9% with syndromes. The birth prevalence was 4.3 per 10,000 births, results consistent with findings from other population-based studies using similar case definitions. Apert syndrome was diagnosed in 40% of the syndromic cases, and sagittal synostosis was diagnosed in 39% of the cases of nonsyndromic craniosynostosis. Maternal age 35 years or older, multiple birth, male sex, and birth weight >4,000 g were risk factors for craniosynostosis. Published 2008 Wiley-Liss, Inc.
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            Supervised normalization of microarrays

            Motivation: A major challenge in utilizing microarray technologies to measure nucleic acid abundances is ‘normalization’, the goal of which is to separate biologically meaningful signal from other confounding sources of signal, often due to unavoidable technical factors. It is intuitively clear that true biological signal and confounding factors need to be simultaneously considered when performing normalization. However, the most popular normalization approaches do not utilize what is known about the study, both in terms of the biological variables of interest and the known technical factors in the study, such as batch or array processing date. Results: We show here that failing to include all study-specific biological and technical variables when performing normalization leads to biased downstream analyses. We propose a general normalization framework that fits a study-specific model employing every known variable that is relevant to the expression study. The proposed method is generally applicable to the full range of existing probe designs, as well as to both single-channel and dual-channel arrays. We show through real and simulated examples that the method has favorable operating characteristics in comparison to some of the most highly used normalization methods. Availability: An R package called snm implementing the methodology will be made available from Bioconductor (http://bioconductor.org). Contact: jstorey@princeton.edu Supplementary information: Supplementary data are available at Bioinformatics online.
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              Intracranial pressure monitoring in children with single suture and complex craniosynostosis: a review.

              One third of patients with craniofacial dysostosis syndromes and about 15-20% of children with single suture craniostenosis have a documented increase in intracranial pressure (ICP). The early detection of intracranial hypertension is important in order to reduce the risks for brain development and visual function. However, in children with craniosynostosis, the clinical manifestations of abnormally increased ICP are difficult to detect, as the majority of patients may have neither warning signs nor symptoms for a long period of time. Moreover, data from the literature suggest that neither fundoscopic nor radiological findings are necessarily related to intracranial pressure recordings in this type of pathology. In this context prolonged ICP monitoring seems actually to be the most valuable diagnostic tool. Extradural, subdural, and intraparenchymal devices have been used, and different softwares have been employed for PC storage and analysis of the data obtained. Most recent series consider mean ICP combined with plateaux waves as the most sensitive indicators in the final evaluation of the results. The analysis of the literature demonstrates a significant difference in the prevalence of raised ICP preoperatively between non-syndromic and syndromic patients. Among the non-syndromic children, a direct relation between the number of sutures involved and raised ICP is documented. The analysis of plateaux waves seems to be particularly important in children with borderline mean ICP values. Persistent postoperative raised ICP has been described in 6-15% of patients with craniofacial dysostosis. It must be related to the multifactorial etiology of increased ICP in these patients, which includes cerebral venous congestion, upper airway obstruction, and hydrocephalus.
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                Author and article information

                Journal
                J Genomics
                J Genomics
                jgen
                Journal of Genomics
                Ivyspring International Publisher (Sydney )
                1839-9940
                2014
                1 August 2014
                : 2
                : 121-130
                Affiliations
                1. Center for Integrative Genomics, School of Biology, Georgia Institute of Technology, Atlanta, GA, USA.
                2. Department of Biomedical Engineering, School of Engineering, Virginia Commonwealth University, Richmond, VA.
                3. Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA.
                4. Center for Craniofacial Disorders, Scottish Rite Hospital and Children's Healthcare of Atlanta.
                Author notes
                ✉ Corresponding author: Greg Gibson, Professor of Biology. Address: Center for Integrative Genomics, School of Biology, Georgia Institute of Technology, Atlanta, GA 30332. Telephone number: 404-385-2343, fax number: 404-894-0519 email: greg.gibson@ 123456biology.gatech.edu .

                Competing Interests: The authors have declared that no competing interest exists.

                Article
                jgenv02p0121
                10.7150/jgen.8833
                4150121
                25184005
                54033dc5-e089-45ba-9fd6-0f9fe5f56f72
                © Ivyspring International Publisher. This is an open-access article distributed under the terms of the Creative Commons License (http://creativecommons.org/licenses/by-nc-nd/3.0/). Reproduction is permitted for personal, noncommercial use, provided that the article is in whole, unmodified, and properly cited.
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                Categories
                Research Paper

                non-syndromic craniosynostosis,rna-seq,transcriptome profile,personalized medicine,biomarkers.

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