Project description:Background:; Osteoblast differentiation requires the coordinated stepwise expression of multiple genes. Histone deacetylase inhibitors (HDIs) accelerate the osteoblast differentiation process by blocking the activity of histone deacetylases (HDACs), which alter gene expression by modifying chromatin structure. We previously demonstrated that HDIs and HDAC3 shRNAs accelerate matrix mineralization and the expression of osteoblast maturation genes (e.g. alkaline phosphatase, osteocalcin). Identifying other genes that are differentially regulated by HDIs might identify new pathways that contribute to osteoblast differentiation. Results:; To identify other osteoblast genes that are altered early by HDIs, we incubated MC3T3-E1 preosteoblasts with HDIs (trichostatin A, MS-275, or valproic acid) for 18 hours in osteogenic conditions. The promotion of osteoblast differentiation by HDIs in this experiment was confirmed by osteogenic assays. Gene expression profiles relative to vehicle-treated cells were assessed by microarray analysis with Affymetrix GeneChip 430 2.0 arrays. The regulation of several genes by HDIs in MC3T3-E1 cells and primary osteoblasts was verified by quantitative real-time PCR. Nine genes were differentially regulated by at least two-fold after exposure to each of the three HDIs and six were verified by PCR in osteoblasts. Four of the verified genes (solute carrier family 9 isoform 3 regulator 1 (Slc9a3r1), sorbitol dehydrogenase 1, a kinase anchor protein, and glutathione S-transferase alpha 4) were induced. Two genes (proteasome subunit, beta type 10 and adaptor-related protein complex AP-4 sigma 1) were suppressed. We also identified eight growth factors and growth factor receptor genes that are significantly altered by each of the HDIs, including Frizzled related proteins 1 and 4, which modulate the Wnt signaling pathway. Conclusions: This study identifies osteoblast genes that are regulated early by HDIs and indicates pathways that might promote osteoblast maturation following HDI exposure. One gene whose upregulation following HDI treatment is consistent with this notion is Slc9a3r1. Also known as NHERF1, Slc9a3r1 is required for optimal bone density. Similarly, the regulation of Wnt receptor genes indicates that this crucial pathway in osteoblast development is also affected by HDIs. These data support the hypothesis that HDIs regulate the expression of genes that promote osteoblast differentiation and maturation. Experiment Overall Design: To identify other osteoblast genes that are altered early by HDIs, we incubated MC3T3-E1 preosteoblasts with HDIs (trichostatin A, MS-275, or valproic acid) or the vehicle control (DMSO) for 18 hours in osteogenic conditions. Gene expression profiles relative to vehicle-treated cells were assessed in triplicate (in some cases quadruplicate) samples by microarray analysis with Affymetrix GeneChip 430 2.0 arrays.

Project description:Osteogenesis is a highly regulated developmental process and continues during the turnover and repair of mature bone. Runx2, the master regulator of osteoblastogenesis, directs a transcription program essential for bone formation through both genetic and epigenetic mechanisms. While individual Runx2 gene targets have been identified, further insights into the broad spectrum of Runx2 functions required for osteogenesis are needed. By performing genome-wide characterization of Runx2 binding at the three major stages of osteoblast differentiation: proliferation, matrix deposition and mineralization, we identified Runx2-dependent regulatory networks driving bone formation. Using chromatin immunoprecipitation followed by high-throughput sequencing (ChIP-Seq) over the course of these stages, we discovered close to 80,000 significantly enriched regions of Runx2 binding throughout the mouse genome. These binding events exhibited distinct patterns during osteogenesis, and were associated with proximal promoters as well as a large percentage of Runx2 occupancy in non-promoter regions: upstream, introns, exons, transcription termination site (TTS) regions, and intergenic regions. These peaks were partitioned into clusters that are associated with genes in complex biological processes that support bone formation. Using Affymetrix expression profiling of differentiating osteoblasts depleted of Runx2, we identified novel Runx2 targets including Ezh2, a critical epigenetic regulator; Crabp2, a retinoic acid signaling component; Adamts4 and Tnfrsf19, two remodelers of extracellular matrix. We demonstrated by luciferase assays that these novel biological targets are regulated by Runx2 occupancy at non-promoter regions. Our data establish that Runx2 interactions with chromatin across the genome reveal novel genes, pathways and transcriptional mechanisms that contribute to the regulation of osteoblastogenesis. MC3T3-E1 cells were treated with scramble or Runx2 shRNA, then harvested at proliferating stage (day 0) and differentiating stage (day 9). Total RNAs recovered from these cells were hybridization on Affymetrix microarrays. We sought to find new target genes or pathways regulated by Runx2 during osteoblast differentiation. When combined with genome-wide occupancy of Runx2, we expect to gain new insights on how Runx2 controls a transcriptional program essential for osteoblast differentiation.

Project description:Osteogenesis is a highly regulated developmental process and continues during the turnover and repair of mature bone. Runx2, the master regulator of osteoblastogenesis, directs a transcription program essential for bone formation through both genetic and epigenetic mechanisms. While individual Runx2 gene targets have been identified, further insights into the broad spectrum of Runx2 functions required for osteogenesis are needed. By performing genome-wide characterization of Runx2 binding at the three major stages of osteoblast differentiation: proliferation, matrix deposition and mineralization, we identified Runx2-dependent regulatory networks driving bone formation. Using chromatin immunoprecipitation followed by high-throughput sequencing (ChIP-Seq) over the course of these stages, we discovered close to 80,000 significantly enriched regions of Runx2 binding throughout the mouse genome. These binding events exhibited distinct patterns during osteogenesis, and were associated with proximal promoters as well as a large percentage of Runx2 occupancy in non-promoter regions: upstream, introns, exons, transcription termination site (TTS) regions, and intergenic regions. These peaks were partitioned into clusters that are associated with genes in complex biological processes that support bone formation. Using Affymetrix expression profiling of differentiating osteoblasts depleted of Runx2, we identified novel Runx2 targets including Ezh2, a critical epigenetic regulator; Crabp2, a retinoic acid signaling component; Adamts4 and Tnfrsf19, two remodelers of extracellular matrix. We demonstrated by luciferase assays that these novel biological targets are regulated by Runx2 occupancy at non-promoter regions. Our data establish that Runx2 interactions withM-BM- chromatin across the genome reveal novel genes, pathways and transcriptional mechanisms that contribute to the regulation of osteoblastogenesis. To identiy the genome-wide occupancy of Runx2, DNA bound by Runx2 at the prolieration, matrix deposition, and mineralization stages were recovered by Runx2 ChIP. Libraries of purified DNA were generated using Illumina SR adapters (Illumina) following manufacturerM-bM-^@M-^Ys manual, and were selected for the inserted fragments of 200 M-BM-1 50 bp, and sequenced 36 bases on an Illumina Genome Analyzer II. Base calls and sequence reads were generated by Illumina CASAVA software (version 1.6, Illumina). Two independent biological repeats of Runx2 ChIP-Seq libraries were prepared for each time point, and two input libraries were prepared with sonicated DNA from day 9 MC3T3-E1 cells. We pooled the reads from two biological replicates for peaking calling using MACS (version 1.4.1) with a stringent p value threshold (p < 1e-10) in contrast to input control, and used these peaks for further bioinformatic analyses. Each sample deposited here contains three files: the sequence file with short reads combined from two biological replicates, a Bed file with peaks called from the pooled short reads, and a Wig file with peak signals.

Project description:Gene regulation during the process of osteoblastogenesis has been well-described, yet the discovery of novel regulatory regions has been limited by how we currently predict the locations of functional cis-regulatory modules. Historically, the de novo identification of sequences critical for the control of gene expression relied primarily on sequence conservation in promoters. Queries for binding motifs were based on position weight matrices of known transcription factors and the identification of disease-causing, non-coding mutations near critical genes. However, we now must consider that regulatory elements also rely on 3-dimensional chromosomal interactions between far-distal regions, epigenetic chromosomal modifications, and RNA:DNA interactions. Traditionally, DNaseI-hypersensitivity assays have been used for the identification of regulatory regions via preferential digestion at chromatin depleted or displaced of nucleosomes, as a result of transcription factor occupancy. We probed DNase hypersensitivity on a genome-wide scale to determine whether osteogenic differentiation and/or bone-related gene regulation is marked by the presence of commonly utilized DNA motifs within active cis-regulatory modules. We thus sought to evaluate the gain or loss of motif representation within hypersensitive regions during osteoblastogenesis, from day-0 (growth-phase) to day-28 (mineralizing) MC3T3 cultures. We find that differentiation is marked by an increased enrichment of NFkB-p65, MEF2, and bHLH/E-box motifs within hypersensitive regions, while CTCF, NF1, TEAD, and AP1 motifs decrease. Furthermore, grouping hypersensitive regions based on genomic positioning (promoters, introns, exons, and far-distal regions) reveals significant differences in motif abundance in first introns versus other genomic positions. This finding suggests that the regulation conferred within first intron sequences may be somewhat distinct. Interestingly, the majority of motifs that were enriched, regardless of genomic position or differentiation time-point, were not completely matched to currently known transcription factor motifs (curated in the JASPAR database). Taken together, the changes in DNase-hypersensitive regions during osteoblastogenesis and the enrichment of distinct motifs within these regions indicate that osteoblasts utilize unique sets of motif rules for transcription factor binding or that regulatory control operates through undiscovered factors. Genome-wide DNase hypersensitivity mapping of osteoblast cultures was performed by adapting the DNase-seq protocol from Song et al. (Song and Crawford, 2010) with slight modifications. Growth-phase (day 0), matrix-deposition stage (day 9), or mineralization stage (day 28) MC3T3-E1 clone-4 cultures were subjected to DNase-seq library preparation. Libraries of purified DNA were generated using custom adapters described in Song et al. High-throughput sequencing was performed by Illumina Genome Analyzer II with 36 base reads and on an Illumina Hiseq-1000 with 100 base reads. Base calls and sequence reads were generated by Illumina CASAVA software (version 1.6, Illumina). Two independent biological repeats of DNase-seq libraries were prepared for each time point. Each biological repeat is represented by two technical repeats.

Dataset Information

Histone Deacetylase Inhibition Promotes Osteoblast Maturation by Altering the Histone 4 (H4) Epigenome

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