COL1A1and miR-29b show lower expression levels during osteoblast differentiation of bone marrow stromal cells from Osteogenesis Imperfecta patients
© Kaneto et al.; licensee BioMed Central Ltd. 2014
Received: 3 December 2013
Accepted: 17 April 2014
Published: 27 April 2014
The majority of Osteogenesis Imperfecta (OI) cases are caused by mutations in one of the two genes, COL1A1 and COL1A2 encoding for the two chains that trimerize to form the procollagen 1 molecule. However, alterations in gene expression and microRNAs (miRNAs) are responsible for the regulation of cell fate determination and may be evolved in OI phenotype.
In this work, we analyzed the coding region and intron/exon boundaries of COL1A1 and COL1A2 genes by sequence analysis using an ABI PRISM 3130 automated sequencer and Big Dye Terminator Sequencing protocol. COL1A1 and miR-29b expression were also evaluated during the osteoblastic differentiation of mesenchymal stem cell (MSC) by qRT-PCR using an ABI7500 Sequence Detection System.
We have identified eight novel mutations, where of four may be responsible for OI phenotype. COL1A1 and miR-29b showed lower expression values in OI type I and type III samples. Interestingly, one type III OI sample from a patient with Bruck Syndrome showed COL1A1 and miR-29b expressions alike those from normal samples.
Results suggest that the miR-29b mechanism directed to regulate collagen protein accumulation during mineralization is dependent upon the amount of COL1A1 mRNA. Taken together, results indicate that the lower levels observed in OI samples were not sufficient for the induction of miR-29b.
KeywordsOsteogenesis Imperfecta miR-29b COL1A1 Osteogenesis Mesenchymalstem cells
Osteogenesis Imperfecta (OI) (OMIM #166200) is a heterogeneous group of inherited disorders characterized by increased bone fragility and clinical severity ranging from mild to lethal . Four types of OI have been described based on clinical phenotypes and histological findings , but more recently, at least three additional groups of patients who had a clinical diagnosis of the disorder but who presented clearly distinct features were delineated . The clinical spectrum is wide, ranging from few fractures, in mild cases, to multiple fractures and perinatal lethality . Most patients have mutations in the COL1A1 or COL1A2 genes, which encode collagen 1, which in turn is the major component of the bone matrix . Collagen 1, an extra-cellular matrix protein, has two α1 and one α2 collagen chains forming a triple helix structure. However, skeletal development and bone remodeling also require stringent control of gene expression for osteoprogenitor lineage cells to advance through stages of differentiation whereas little is known about this in OI .
Recent reports identify critical roles of microRNAs (miRNAs) as regulators of gene expression either by inhibiting the translation or by stimulating the degradation of target mRNAs in the regulation of cell fate determination . Additionally, miRNA profiling during the initial stages of osteoblast phenotype development showed the up-regulation of a limited cohort of miRNAs that have predicted targets for muscle differentiation . Other works have described the importance of microRNAs in controlling transcriptions factors  and non-collagen extracellular matrix proteins leading to inhibition of the osteogenic process . On the other hand, some microRNAs are responsible for the induction of osteogenesis . MiR-29b, for example, supports osteoblast differentiation through several mechanisms which decrease the activity of COL1A1, COL5A3 and COL4A2 and regulate collagen protein accumulation during mineralization when miR-29b reaches peak levels . There is no information regarding the expression of microRNAs in patients with Osteogenesis Imperfecta.
In this work, the analysis of COL1A1 and COL1A2genes in five unrelated patients with type I and type III OI identified a total of 8 novel mutations, whereas the analysis from miR-29b expression led us to propose that it does not regulate COL1A1 levels during osteoblast differentiation in OI in comparison to normal mesenchymal stem cells.
The mononuclear cell fractions were derived from the bone marrow of eight different donors [five patients with Osteogenesis Imperfecta (MOOI1-MOOI5) and three normal donors (MON1-MON3)] who gave consent after full information and approval by the Ethics Committee of the Medical School of Ribeirão Preto Hospital, University of São Paulo (Number: 10188/2007). All MNC (mononuclear cells) were isolated and MSC were cultivated as previously described  until the third passage, when osteogenic differentiation was induced with an expansion medium supplemented with 0.01 mM dexamethasone, 200 μM ascorbic-acid-2-phosphate and 10 mM β–glycerophosphate. Genomic DNA was extracted from mesenchymal stem cells using the Wizard Genomic DNA Purification Kit (Promega). DNA sequencing of PCR-amplified COL1A1 and COL1A2 gene fragments covering the entire coding region and intron/exon boundaries was carried out using an ABI PRISM 3130 automated sequencer and the Big Dye Terminator Sequencing protocol. All primer sequences used in the PCR amplification of COL1A1 and COL1A2 are available as an Additional file 1. RNA was harvested at seven time points during the osteogenic differentiation period (D0, D + 1, D + 2, D + 7, D + 12, D + 17 and D + 21). Total RNA was isolated with TRIzol reagent (Invitrogen) and concentration was determined by photometric measurements. A High Capacity cDNA Reverse Transcription Kit (Applied Biosystems) was used to synthesize cDNA from 2 μg of RNA, following manufacturer’s recommendations. The primer sequences used in the PCR amplification of COL1A1 are available as an Additional file 1. qRT-PCR amplification mixtures contained 20 ng template cDNA, 2X Power SYBR Green Master mix (10 μL) (Applied Biosystems) and 400–600 nM forward and reverse primers in a final volume of 20 μL. TaqMan® MicroRNA Assays (Applied Biosystems) were used to assess miR-29b expression levels and included two steps: reverse transcription and real-time PCR. The total RNA (2.5 ng/reaction) from samples was reverse-transcribed with specific looped RT primers. 15 μL reactions, in turn, were performed using reagents from the High-Capacity cDNA Archive Kit (PN 4322171, AppliedBiosystems) and 1.9 U RNase inhibitor (PNN8080119, Applied Biosystems) and were and incubated for 30 minutes at 16°C, 30 minutes at 42°C, and 5 minutes at 85°C. As for the real-time PCR step, 4.5 μL 1:5 diluted cDNA samples were used as templates in 10 μL reactions containing primers and probes for miR-29b, according to manufacturer instructions. All reactions were run in duplicate on an ABI7500 Sequence Detection System (Applied Biosystems, Foster City, CA, USA) under the following conditions: 95°C, for 10 minutes, followed by 40 cycles at 95°C for 15 seconds, and 60°C, for 1 minute. Total RNA input was normalized based on the Ct values obtained for RNU6B, which is a nucleolar RNA used as an endogenous control in this type of analysis. Experiments with coefficients of variation greater than 5% were excluded. As regards COL1A1 reactions, each run was completed with a melting curve analysis so as to confirm the specificity of amplification and the lack of primer dimers. Reactions were carried out in triplicates and a no-template control was also included. The relative quantification of gene expression was carried out using the mathematical model described in .
Clinical features and detected mutations of OI patients
Number of fractures
COL1A1 c.3076C > T, Arg1026X
COL1A2 c.2503G > A, Gly835Ser
COL1A1 c. 869G > A, Gly290Glu
COL1A1 c.198_204dupCAAGGTG, Leu69Glu-fsX74
It is possible that extracellular signals contribute to microRNA regulation during differentiation, supporting a role for microRNAs during MSC development . Suh et al. (2012) have investigated the role of microRNAs in a fibroblast model of quiescence and discovered that microRNA expression is broadly and similarly altered by two different quiescence signals: contact inhibition and serum withdrawal. They further found that microRNAs regulate some of the changes in gene expression and cellular function associated with quiescence, as well as the transition between proliferation and quiescence . We therefore hypothesized that the amount of mRNA and the quality of secreted collagen could be those signals. Apparently, the miR-29b mechanism for regulating collagen protein accumulation during mineralization is dependent upon the amount of COL1A1 mRNA. The lower levels observed in OI samples are not sufficient for miR-29b induction. However, no direct interaction between COL1A1 and miR-29b has been examined in this study.
The pattern of microRNA expression in MSC is distinct from that in pluripotent stem cells while specific populations of microRNAs are regulated in MSC during differentiation targeted towards specific cell types. Understanding the key regulatory pathways and molecules either involved in maintaining MSC in their undifferentiated state or during the process of differentiation allows for a better handle on expanding these cells for therapeutic applications on a broad scale .
The data obtained for BS patient revealed miR-29b and COL1A1 expression profiles similar to those found in normal samples. Studies of Bruck syndrome have found normal secretion of collagen 1 in three families, whereas no mutations have been detected in the COL1A1 and COL1A2 genes . In addition to the normal miR-29b and COL1A1 expression levels, the absence of pathogenic mutations in COL1A1 and COL1A2 suggest that miR29b expression could be associated to COL1A1 expression levels.
Taken together, our study suggests that the miR-29b mechanism for regulating collagen protein accumulation during mineralization is dependent upon the amount of COL1A1 mRNA. Results indicate that the lower levels observed in OI samples are not sufficient for the induction of miR-29b, but no direct interaction between COL1A1 and miR-29b has been examined in this study. Furthermore, we have presented the clinical and molecular features of four patients with novel, so far undescribed mutations in COL1A1 and COL1A2 genes that further illustrate the complexity, but that can contribute to better understand genotype-phenotype correlations for OI and related connective tissue disorders.
Support for this work was provided by the Brazilian agencies FAPESP, CNPq, and Center for Cell-based Therapy. We are also thankful to Cristiane Ayres Ferreira and Adriana Aparecida Marques for their excellent technical assistance.
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