Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2018 Feb 1.
Published in final edited form as: J Cell Physiol. 2016 Jun 7;232(2):363–370. doi: 10.1002/jcp.25433

Effects of Sex and Notch Signaling on the Osteocyte Cell Pool

Ernesto Canalis 1,2, Lauren Schilling 1, Stefano Zanotti 1,2
PMCID: PMC5325059  NIHMSID: NIHMS849393  PMID: 27192486

Abstract

Osteocytes play a fundamental role in mechanotransduction and skeletal remodeling. Sex is a determinant of skeletal structure, and female C57BL/6J mice have increased osteoblast number in cancellous bone when compared to male mice. Activation of Notch in the skeleton causes profound cell-context dependent changes in skeletal physiology. To determine the impact of sex and of Notch signaling on the osteocyte cell pool, we analyzed cancellous and cortical bone of 1 to 6 month old C57BL/6J or 129SvJ/C57BL/6J mice and determined the osteocyte number/area. There was an age-dependent decline in osteocyte number in cancellous bone of male but not female mice, so that 6 month old female mice had a greater number of osteocytes than male littermates. Although differences between male and female mice were modest, female mice had ~10-15% greater number of osteocytes/area. RNA sequence analysis of osteocyte-rich preparations did not reveal differences between sexes in the expression of genes known to influence bone homeostasis. Neither the activation of Notch1 nor the concomitant inactivation of Notch1 and Notch2 in Osterix (Sp7) or Dentin matrix protein 1 (Dmp1) expressing cells had a pronounced and consistent effect on cancellous or cortical bone osteocyte number in either sex. Moreover, inactivation of Notch1 and Notch2 in Dmp1 expressing cells did not influence the bone loss in a muscle immobilization model of skeletal unloading. In conclusion, cancellous bone osteocytes decline with age in male mice, cortical osteocytes are influenced by sex in younger mice, but osteocyte cell density is not affected substantially by Notch signaling.

Keywords: Notch, bone remodeling, sex, osteocytes, mechanotransduction

INTRODUCTION

Osteocytes are cells with a dendritic morphology that communicate through a canalicular network with each other and with osteoblasts and lining cells (Dallas et al., 2013). Osteocytes play a fundamental role in mechanotransduction, and osteocyte ablated mice exhibit bone loss and microstructural deterioration, verifying the critical function played by these cells in bone remodeling (Tatsumi et al., 2007). Osteocytes have distinct biology from osteoblasts, their cells of origin prior to becoming embedded in the trabecular and cortical bone matrix. Moreover, osteocytes are a primary source of signals that regulate bone remodeling. For example, osteocytes are a rich source of receptor activator of nuclear factor kappa B ligand (Rankl) and can signal osteoclast precursors to differentiate into bone resorbing cells (Nakashima et al., 2011; Xiong et al., 2011; Xiong et al., 2015). Osteocytes are the most prevalent source of the Wnt antagonist sclerostin and Wnt/β-catenin signaling in osteocytes plays a critical role in bone homeostasis. Mice harboring osteocyte-specific inactivation of β-catenin are profoundly osteopenic (Kramer et al., 2010). Moreover, activation of Wnt/β-catenin signaling in osteocytes induces a bone anabolic response and triggers Notch signaling (Tu et al., 2015). Female C57BL/6J mice have a higher number of osteoblasts/trabecular perimeter than male mice, and since osteoblasts are the cellular source of osteocytes, the osteocyte cell density may also be influenced by sex (Zanotti et al., 2014).

Notch are single-pass transmembrane receptors that play a critical role in skeletal development and homeostasis, and in osteoblast and osteoclast differentiation (Engin et al., 2008; Hilton et al., 2008; Zanotti and Canalis, 2010; Zanotti et al., 2008). Notch interactions with its ligands, which are Jagged1 and 2, and Delta Like1, 3 and 4, result in a series of proteolytic cleavages and the release of the Notch intracellular domain (NICD) (Borggrefe and Liefke, 2012; Fortini, 2009; Zanotti and Canalis, 2010). The NICD translocates to the nucleus and interacts with recombination signal binding protein for immunoglobulin kappa J region (Rbpjκ) and mastermind-like proteins to regulate transcription (Kovall, 2008; Nam et al., 2006; Schroeter et al., 1998; Wilson and Kovall, 2006). Recently, we demonstrated that Notch1 plays a unique role in osteocyte function, and its activation in these cells leads to an inhibition of bone resorption in cancellous bone and an enhancement of bone formation in cortical bone (Canalis et al., 2013a). However, it is not known whether Notch has an impact on the osteocyte cell pool, or whether this is influenced by sex.

The intent of the present study was to define the influence of sex and Notch signaling on the osteocyte cell density using models of conditional activation or inactivation of Notch previously reported by our laboratory (Canalis et al., 2013a; Canalis et al., 2013b; Zanotti and Canalis, 2014). To activate Notch, we used the RosaNotch mouse model, where a STOP cassette, placed between the Rosa26 promoter and the Notch1 NICD coding sequence, is flanked by loxP sites (Murtaugh et al., 2003; Stanger et al., 2005). To inactivate Notch, we used dual Notch1loxP/loxP;Notch2loxP/loxP mice, where Cre recombination results in the downregulation of Notch1 and Notch2. RosaNotch and Notch1loxP/loxP;Notch2loxP/loxP mice were crossed with mice expressing the Cre recombinase under the control of the Osterix (Sp7) or the Dentin matrix protein1 (Dmp1) promoter (Lu et al., 2007; Rodda and McMahon, 2006). Osterix expressing cells are undifferentiated cells of the osteoblastic lineage that eventually differentiate into osteocytes, cells known to express Dmp1 (Chen et al., 2014; Lu et al., 2007; Maes et al., 2010; Nakashima et al., 2002). The osteocyte cell density was established by histomorphometry of cancellous and cortical bone. In addition, we compared gene profiles in osteocyte-enriched preparations from C57BL/6J male and female mice, and tested the consequences of the Notch1 and Notch2 inactivation in osteocytes on the skeletal response to unloading.

MATERIALS AND METHODS

Wild Type Mice

Experiments in wild type mice were conducted in male and female littermate-matched C57BL/6J mice (Jackson Laboratory, Bar Harbor, ME).

RosaNotch Mice

RosaNotch mice were obtained from Jackson Laboratory in a 129SvJ/C57BL/6J genetic background (Murtaugh et al., 2003; Stanger et al., 2005). In these mice, the Rosa26 locus is targeted with a DNA construct encoding Notch1 NICD, preceded by a STOP cassette flanked by loxP sites, cloned downstream of the Rosa26 promoter. Expression of NICD from the targeted Rosa26 locus occurs following the excision of the STOP cassette by Cre recombination of loxP sequences (Buchholz et al., 1996; Sauer and Henderson, 1988). To study the consequences of the Notch induction in undifferentiated cells of the osteoblastic lineage on the osteocyte cell pool, homozygous RosaNotch mice were bred with hemizygous mice expressing the Cre recombinase under the control of the Osterix (Sp7) promoter (Osx-Cre+/−) in a C57BL/6J genetic background (Jackson Laboratory) (Rodda and McMahon, 2006). Because the expression of Cre is under the control of the tet-off cassette, moms were treated with 645 mg/Kg of doxycycline from the time of conception to delivery. To activate Notch1 in osteocytes, transgenic mice expressing the Cre recombinase under the control of a ~10 kb fragment of the Dmp1 promoter (Dmp1-Cre) in a C57BL/6J genetic background were obtained from J. Feng (Dallas, TX) (Lu et al., 2007). Homozygous RosaNotch mice were mated with hemizygous Dmp1-Cre+/− mice. All mating schemes created 50% Cre+/−;RosaNotch experimental and 50% RosaNotch littermate controls. Male and female experimental and control littermate-matched mice were compared at 3 months of age. Genotyping was carried out by polymerase chain reaction (PCR) in tail DNA extracts (Table 1). Deletion of the loxP-flanked STOP cassette by the Cre recombinase was documented by PCR in DNA from tibiae at 1 month of age using specific primers, as previously published (Table 1) (Canalis et al., 2013b). The induction of NICD and Notch target gene expression was documented by quantitative reverse transcription (qRT)-PCR in femurs and calvariae from 1 month old mice, as published (Canalis et al., 2013a; Canalis et al., 2013b).

Table 1.

Primers used for allele identification by PCR.

Genotyping
Allele Strand Sequence 5′- to -3′ Amplicon Size (base pairs)
Dmp1-Cre Forward CCCGCAGAACCTGAAGATG 534
Reverse GACCCGGCAAAACAGGTAG
Notch1loxP Forward CTGACTTAGTAGGGGGAAAAC Notch1wt = 300
Notch1loxP = 350
Reverse AGTGGTCCAGGGTGTGAGTGT
Notch2loxP Forward GCTCAGCTAGAGTGTTGTTCTTG Notch2wt = 400
Notch2loxP = 500
Reverse TTTGTGGCCGTAACTTTCTCATG
Osx-Cre Forward GCGGTCTGGCAGTAAAAACTATC 100
Notch2loxP = 500
Reverse GTGAAACAGCATTGCTGTCACTT
RosaNotch allele Forward GGAGCGGGAGAAATGGATATG WT = 600
Wild type reverse AAAGTCGCTCTGAGTTGTTATTG
RosaNotch reverse GCGAAGAGTTTGTCCTCAACC RosaNotch = 250
LoxP Recombination
Notch1Δ Forward CTGACTTAGTAGGGGGAAAAC 370
Reverse TAAAAAGAGACAGCTGCGGAG
Notch2Δ Forward GCTCAGCTAGAGTGTTGTTCTTG 450
Reverse ATAACGCTAAACGTGCACTGGAG
RosaNotch STOPΔ Forward TTCGCGGTCTTTCCAGTGG 492
296
Reverse absent loxP recombination AGCCTCTGAGCCCAGAAAGC
Reverse present loxP recombination GCCGACTGAGTCCTCGCC

Notch1 and Notch2 Conditional Mice

Conditional Notch1 and Notch2 mice were provided by F. Radtke (Lausanne, Switzerland) and T. Gridley (Scarborough, ME), respectively (McCright et al., 2006; Radtke et al., 1999). For the creation of the Notch1 conditional allele, a region of the Notch1 locus containing the 3.5 kb upstream of the putative transcriptional start site and the first exon was flanked by loxP sequences, so that Cre recombination results in the removal of the Notch1 signal peptide (Radtke et al., 1999). For the creation of the Notch2 conditional allele, exon 3 was flanked by loxP sequences so that Cre recombination leads to a frameshift and consequent truncation of the Notch2 protein (McCright et al., 2006). Notch1 and Notch2 conditional mice were mated to create dual Notch1loxP/loxP and Notch2loxP/loxP mice in a 129SvJ/C57BL/6J background. Notch1loxP/loxP;Notch2loxP/loxP mice were mated with either Osx-Cre or Dmp1-Cre mice to create Osx-Cre+/−;Notch1loxP/loxP;Notch2loxP/loxP or Dmp1-Cre+/−;Notch1loxP/loxP;Notch2loxP/loxP to cross with Notch1loxP/loxP;Notch2loxP/loxP mice so that 50% of the progeny would be inactive for both Notch genes (Notch1Δ/Δ;Notch2Δ/Δ), and 50% would serve as controls (Notch1loxP/loxP;Notch2loxP/loxP). Moms carrying Osx-Cre alleles were treated with doxycycline throughout their pregnancy as described for crosses with RosaNotch mice. Male and female experimental and control littermate-matched mice were compared at 3 months of age. Genotyping was carried out in tail DNA by PCR using specific primers (Table 1). Deletion of loxP-flanked sequences by the Cre recombinase directed under the control of the Osterix (Sp7) promoter was documented by PCR in DNA extracted from tibiae of 1 month old and calvariae of 3 month old mice using specific primers (Table 1) as previously reported (Zanotti and Canalis, 2014). Deletion of loxP-flanked sequences by the Cre recombinase directed under the control of the Dmp1 promoter was documented in femurs from 1 month old mice, as previously reported (Canalis et al., 2013a).

Muscle Immobilization Protocol

The effect of muscle immobilization on the skeleton was tested in 9 and 12 week old Dmp1-Cre+/−;Notch1Δ/Δ;Notch2Δ/Δ and littermate control male mice. For this purpose, control and experimental mice were injected with botulinum toxin A (BtxA) (Allergan Inc., Irvine, CA) at a dose of 2 units/100 g of body weight administered in equal amounts in the quadriceps and the triceps surae muscle groups or injected with saline under anesthesia (Grimston et al., 2011; Manske et al., 2010; Poliachik et al., 2010; Warner et al., 2006). The contralateral limb was used as an internal control. Experimental and control mice were sacrificed 3 weeks post-BtxA injection, when bone loss following muscle paralysis reaches its nadir (Grimston et al., 2011). The degree of muscle paralysis was assessed 3 days post-injection using the digital abduction scoring test, where the degree of abduction of the digits in the paralyzed limb is assessed and scored using a scale of 0 – 4, with 0 reflecting normal muscle function and 4 indicating total paralysis (Aoki, 2001).

All animal experiments were approved by the Animal Care and Use Committees of Saint Francis Hospital and Medical Center or UConn Health.

Microcomputed Tomography

Bone microarchitecture of femurs from experimental and control mice was determined using a microcomputed tomography instrument (μCT 40; Scanco Medical AG, Bassersdorf, Switzerland), which was calibrated weekly using a phantom provided by the manufacturer (Bouxsein et al., 2010; Glatt et al., 2007). Femurs were scanned in 70% ethanol at high resolution, energy level of 55 kVp, intensity of 145 μA and integration time of 200 ms. Trabecular bone volume fraction and microarchitecture were evaluated starting approximately 1.0 mm proximal from the femoral condyles. A total of 160 consecutive slices were acquired at an istropic voxel dimension of 216 μm3 and a slice thickness of 6 μm and chosen for analysis. Contours were manually drawn every 10 slices a few voxels away from the endocortical boundary to define the region of interest for analysis. The remaining slice contours were iterated automatically. Trabecular regions were assessed for total volume, bone volume, bone volume fraction (bone volume/total volume, BV/TV), trabecular thickness (Tb.Th), trabecular number (Tb.N) and separation, connectivity density (Conn.D) and structure model index (SMI), using a Gaussian filter (σ = 0.8) and user defined thresholds (Bouxsein et al., 2010; Glatt et al., 2007). For analysis of femoral cortical bone, contours were iterated across 100 slices along the cortical shell of the femoral midshaft, excluding the marrow cavity. Analysis of bone volume/total volume (BV/TV), porosity, cortical thickness, cross-sectional tissue (TA) and bone (BA) areas, periosteal (P.peri) and endocortical (P.endo) perimeters, and material density were performed using a Gaussian filter (σ = 0.8) and user defined thresholds. The terminology and units used are in accordance with guidelines published by the Journal of Bone and Mineral Research (Bouxsein et al., 2010).

Bone Histomorphometric Analysis

For cancellous bone histomorphometry, femurs were embedded in methyl methacrylate, and longitudinal sections, 5 μm thick, were cut on a microtome (Microm, Richards-Allan Scientific, Kalamazoo, MI) and stained with 0.1% toluidine blue. Bone volume/tissue volume, bone area and osteocyte number were measured in a defined area between 360 μm and 2160 μm from the growth plate, using OsteoMeasureXP software (OsteoMetrics, Atlanta, GA). Complete cancellous bone histomorphometric parameters on the consequences of the Notch activation and inactivation in Osterix and Dmp1 expressing cells in the mice being reported have been published previously by this laboratory (Canalis et al., 2013a; Canalis et al., 2013b; Zanotti and Canalis, 2014). For cortical histomorphometry, femurs embedded in methyl methacrylate were cut through the mid-diaphysis with an EXAKT Precision Saw at Alizee Pathology (Baltimore, MD). Slides were ground using an EXAKT 400 CS micro grinding system to a thickness of ~15 μm, surface polished and stained with hematoxylin/eosin and analyzed at a magnification of x400 using OsteoMeasureXP software. Stained sections were used to draw the cortical bone to determine cortical thickness and area, and to count osteocytes within the cortex.

Osteocyte number in cancellous and cortical bone was expressed as cells/bone area measured. The terminology and units used for histomorphometry are those recommended by the Histomorphometry Nomenclature Committee of the American Society of Bone and Mineral Research (Dempster et al., 2013; Parfitt et al., 1987).

Osteocyte-enriched Femurs

Osteocyte-enriched cells were obtained following a modification of a previously described method (Halleux et al., 2012). Femurs were removed aseptically form 1 month old experimental and control mice; the surrounding tissues were dissected, the proximal epiphyseal end was excised, and the bone marrow was removed by centrifugation. The distal epiphysis was excised, and femurs were digested for 20 min at 37°C with type II bacterial collagenase pretreated with N-α-tosyl-L-lysyl-chloromethyl ketone hydrochloride and subsequently exposed to 5mM EDTA for 20 min at 37°C. The resulting osteocyte-enriched cortical femurs were processed for RNA extraction prior to RNA Sequence (RNASeq) analysis.

RNA Sequence Analysis

Differences in gene expression in the osteocyte cell population from male and female C57BL/6J mice were determined by RNASeq analysis (Marguerat and Bahler, 2010; Wang et al., 2009). Osteocyte enriched preparations from male and female littermate mice were obtained and high quality nucleic acids were extracted. The Agilent Tape Station 2200 High Sensitivity RNA Assay was used to verify total RNA integrity (Agilent Technologies, Santa Clara, CA). RNA libraries were made using the Illumina TruSeq Stranded mRNA sample preparation kit following manufacturer protocol (Illumina, San Diego, CA) at the Center for Genome Innovation, Institute for Systems Genomics (University of Connecticut, Storrs, CT). Eight samples were individually barcoded, quantified using qPCR (KAPA Biosystems, Wilmington, MA), pooled in equimolar ratios and sequenced on High Output Illumina NextSeq 500 sequencing run (paired end 150bp reads; version 2 chemistry). The Computational Biology Core within the Institute for Systems Genomics at the University of Connecticut (Storrs, CT) performed quality control and data analyses on these samples.

Statistical Analysis

Data are expressed as means ± SEM. Statistical differences were determined by analysis of variance with post-hoc analysis by Holm-Sidak.

RESULTS

Influence of Sex on Osteocyte Cell Density

In accordance with previous results establishing the skeletal microarchitectural and histomorphometric sex-dependent changes in C57BL/6J maturing mice, trabecular bone volume increased or remained stable between 1 and 6 months of age in male mice and declined in female mice (Table 2) (Zanotti et al., 2014). As a consequence, female C57BL/6J mice had lower cancellous bone volume than male littermates at 3 and 6 months of age. Cortical bone thickness and area increased in both sexes between 1 and 3 months of age although the increase was greater in male mice. Cortical thickness remained stable in male mice but continued to increase in female C57BL/6J mice so that it was not different between sexes at 6 months of age. The findings confirm that cancellous bone volume declines more rapidly in female than in male C57BL/6J mice, whereas cortical bone gains occur in both sexes through maturity (Glatt et al., 2007; Zanotti et al., 2014). The decline in cancellous bone in female mice is possibly due to greater resorptive activity than in male mice. There was an age-dependent decline in osteocyte cell density in cancellous bone in male, but not in female mice (p < 0.05). Therefore, at 6 months of age, female C57BL/6J mice had a greater number of osteocytes/bone area (Table 2). There was a modest but significant decrease in osteocyte cell number in cortical bone as the mice matured (p < 0.05), but this decline was not influenced by sex. A modest, although significant, difference in osteocyte number between sexes was noted in cortical bone where female mice had ~10-15% greater number of osteocytes/bone area than male mice in the first 3 months of life (Table 2).

Table 2.

Osteocyte number in cancellous and cortical bone of 1, 3 and 6 month old male and female C57BL/6J wild type mice.

1 Month 3 Month 6 Month
Male Female Male Female Male Female
Cancellous Bone
    Bone Volume/Tissue Volume (%) 8.9 ± 1.3 5.9 ± 0.7 17.4 ± 1.6 6.1 ± 1.2* 12.5 ± 1.6 2.6 ± 0.7*
    Bone Area (mm2) 0.21 ± 0.03 0.14 ± 0.02 0.40 ± 0.04 0.14 ± 0.03* 0.23 ± 0.03 0.05 ± 0.0.1*
    Osteocytes/Bone Area (mm2) 790 ± 53 850 ± 33 598 ± 32 749 ± 68 495 ± 42 859 ± 8.0*
Cortical Bone
    Thickness (μm) 190 ± 11 173 ± 4 355 ± 14 308 ± 9* 360 ± 11 342 ± 5
    Bone Area (mm2) 0.43 ± 0.03 0.37 ± 0.02 1.01 ± 0.08 0.76 ± 0.04* 1.06 ± 0.80 0.85 ± 0.03*
    Osteocytes/Bone Area (mm2) 1191 ± 38 1298 ± 24* 1007 ± 30 1153 ± 38* 1044 ± 33 1014 ± 20

Bone histomorphometry was performed on femurs from wild type C57BL/6J male and female mice. Values are means ± SEM; n = 4 to 6.

*

Significantly different between sexes, p < 0.05.

To establish possible mechanisms or consequences of the differences in osteocyte cell density between male and female mice, RNASeq analysis of osteocyte-rich preparations was performed but revealed modest differences in gene expression (Table 3). Expression of genes known to affect bone remodeling was not different between sexes.

Table 3.

RNASeq analysis of male and female osteocytes.

Gene Name Ensemble Gene IDs Fold Change in Females
Mx1 ENSMUSG00000000386 0.564194103
Ms4a4c ENSMUSG00000024675 0.600576567
Ifi44 ENSMUSG00000028037 0.630366194
Il1rn ENSMUSG00000026981 0.631570758
Ptx3 ENSMUSG00000027832 0.633671403
Ebf3 ENSMUSG00000010476 0.752762452
Kdm5c ENSMUSG00000025332 1.326466707
Kdm6a ENSMUSG00000037369 1.517834561
Eif2s3x ENSMUSG00000035150 1.549843905
Vldlr ENSMUSG00000024924 1.551111996
Olfm2 ENSMUSG00000032172 1.671919491
Pi15 ENSMUSG00000067780 1.673890087
Lppr5 ENSMUSG00000033342 1.832092082
Lgi2 ENSMUSG00000039252 1.85071977
Zfp804a ENSMUSG00000070866 2.49317683
Shank2 ENSMUSG00000037541 2.859312896
Greb1 ENSMUSG00000036523 3.76399671
Aldh1a2 ENSMUSG00000013584 4.263146685
A2m ENSMUSG00000030111 5.861513757

RNA was extracted from osteocyte-rich preparations of male and female mice (n = 4) and processed for RNASeq analysis as described in Materials and Methods.

Influence of Notch on Osteocyte Cell Density

To induce the conditional activation of Notch in cells of the osteoblastic lineage with the potential to differentiate into osteocytes, as well as in mature osteocytes, homozygous RosaNotch mice were mated with hemizygous Osx-Cre or Dmp1-Cre mice. Recombination of loxP sites flanking the STOP cassette and induction of Notch target gene expression in bone extracts was previously documented (Canalis et al., 2013a; Canalis et al., 2013b). In accordance with previous publications, activation of Notch in either Osterix or Dmp1 expressing cells caused increased cancellous bone volume and bone area in 3 month old mice of both sexes (Canalis et al., 2013b). Cortical bone was not affected in Osx-Cre+/−;RosaNotch mice, and Dmp1-Cre+/−;RosaNotch mice had a cortical structure that could not be separated from cancellous bone (Table 4). Activation of Notch in Osterix expressing cells increased osteocyte number in cancellous bone of male but not female mice and had no effect in osteocyte number in cortical bone in either sex. Activation of Notch in Dmp1 expressing cells did not have an effect on osteocyte cell density in cancellous bone in either sex.

Table 4.

Osteocyte number in cancellous and cortical bone of 3 month old male and female conditional Osx-Cre+/−;RosaNotch and Dmp1-Cre+/−;RosaNotch mice and controls.

Osx-Cre+/−;RosaNotch
Males Females
Control Notch Control Notch
Cancellous Bone
    Bone Volume/Tissue Volume (%) 10.5 ± 1.5 25.3 ± 2.0* 3.8 ± 0.5# 25.7 ± 1.3*
    Bone Area (mm2) 0.27 ± 0.04 0.66 ± 0.05* 0.10 ± 0.01# 0.67 ± 0.03*
    Osteocytes/Bone Area (mm2) 552 ± 23 697 ± 46* 783 ± 63# 821 ± 26#
Cortical Bone
    Cortical Thickness (μm) 330 ± 9 325 ± 28 288 ± 10 302 ± 12
    Bone Area (mm2) 0.85 ± 0.04 0.91 ± 0.10 0.72 ± 0.03 0.77 ± 0.06
    Osteocytes/Bone Area (mm2) 1167 ± 30 1169 ± 58 1179 ± 10 1212 ± 20
Dmp1-Cre+/−;RosaNotch
Cancellous Bone
    Bone Volume/Tissue Volume (%) 6.3 ± 0.3 16.0 ± 3.0* 4.2 ± 0.4 17.1 ± 4.6*
    Bone Area (mm2) 0.17 ± 0.01 0.42 ± 0.08* 0.11 ± 0.01 0.44 ± 0.12*
    Osteocytes/Bone Area (mm2) 554 ± 26 625 ± 32 589 ± 40 684 ± 55
Cortical Bone Could not discern cortical from trabecular bone.

Bone histomorphometry was performed on femurs from 3 month old male and female Osx-Cre+/−;RosaNotch and Dmp1-Cre+/−;RosaNotch mice and control littermates. Values are means ± SEM; n = 5 to 6 for Osx-Cre+/−;RosaNotch and 4 to 7 for Dmp1-Cre+/−;RosaNotch.

*

Significantly different from controls, p < 0.05.

#

Significantly different between sexes.

To inactivate Notch1 and Notch2 in osteoblast precursors or mature osteocytes, female Notch1loxP/loxP;Notch2loxP/loxP were bred with either male Osx-Cre+/−;Notch1loxP/loxP;Notch2loxP/loxP or male Dmp1-Cre+/−;Notch1loxP/loxP;Notch2loxP/loxP mice to generate Cre+/−;Notch1Δ/Δ;Notch2Δ/Δ experimental and Notch1loxP/loxP;Notch2loxP/loxP littermate controls. Recombination of the Notch1 and Notch2 conditional alleles was documented in bone extracts as previously reported (Canalis et al., 2013a; Zanotti and Canalis, 2014). Inactivation of Notch1 and Notch2 in Osterix expressing cells caused modest changes in mature mice, whereas inactivation of Notch1 and Notch2 in Dmp1 expressing cells increased cancellous bone in 3 month old male and female mice. Inactivation of Notch1 and Notch2 in Osterix expressing cells did not alter osteocyte cell density in male or female mice in either cancellous or cortical bone (Table 5). Inactivation of Notch1 and Notch2 in Dmp1 expressing cells increased osteocyte number in cancellous bone of male but not female mice, and did not alter osteocyte number in cortical bone.

Table 5.

Osteocyte number in cancellous and cortical bone of 3 month old male and female conditional Osx-Cre+/−;Notch1Δ/Δ;Notch2Δ/Δ and Dmp1-Cre+/−;Notch1Δ/Δ;Notch2Δ/Δ null mice and controls.

Osx-Cre+/−;Notch1Δ/Δ;Notch2Δ/Δ
Males Females
Control Notch1,2Δ/Δ Control Notch1,2Δ/Δ
Cancellous Bone
    Bone Volume/Tissue Volume (%) 8.9 ± 1.8 11.4 ± 1.8 4.3 ± 0.8# 6.3 ± 1.4
    Bone Area (mm2) 0.23 ± 0.06 0.24 ± 0.03 0.10 ± 0.02# 0.14 ± 0.03
    Osteocytes/Bone Area (mm2) 647 ± 59 785 ± 20 894 ± 80# 1075 ± 70#
Cortical Bone
    Cortical Thickness (μm) 307 ± 16 279 ± 13 307 ± 13 284 ± 7
    Bone Area (mm2) 0.83 ± 0.06 0.76 ± 0.03 0.81 ± 0.08 0.68 ± 0.03
    Osteocytes/Bone Area (mm2) 1471 ± 46 1525 ± 34 1384 ± 78 1535 ± 91
Dmp1-Cre+/−;Notch1Δ/Δ;Notch2Δ/Δ
Cancellous Bone
    Bone Volume/Tissue Volume (%) 7.8 ± 0.8 11.9 ± 0.8* 2.7 ± 0.2# 8.2 ± 0.8*#
    Bone Area (mm2) 0.20 ± 0.02 0.31 ± 0.02* 0.06 ± 0.0# 0.17 ± 0.02*#
    Osteocytes/Bone Area (mm2) 578 ± 25 746 ± 27* 789 ± 90# 678 ± 51
Cortical Bone
    Cortical Thickness (μm) 326 ± 6 385 ± 12* 324 ± 21 293 ± 10#
    Bone Area (mm2) 0.93 ± 0.04 1.12 ± 0.09 0.87 ± 0.12 0.71 ± 0.04#
    Osteocytes/Bone Area (mm2) 1073 ± 70 981 ± 46 1146 ± 67 1162 ± 34#

Bone histomorphometry was performed on femurs from 3 month old male and female Osx-Cre+/−;Notch1Δ/Δ;Notch2Δ/Δ and Dmp1-Cre+/−;Notch1Δ/Δ;Notch2Δ/Δ null mice and control littermates. Values are means ± SEM; n = 4 to 6 for Osx-Cre+/−;Notch1Δ/Δ;Notch2Δ/Δ and n = 5 to 8 for Dmp1-Cre+/;Notch 1Δ/Δ;Notch2Δ/Δ.

*

Significantfy different from controls, p < 0.05.

#

Significantly different between sexes.

Confirming the results obtained in C57BL/6J mice, 3 month old 129SvJ/C57BL/6J female mice had greater number of osteocytes/cancellous bone area under basal and under conditions of Notch activation and inactivation (Tables 4 and 5). However, the magnitude of the difference in cancellous bone osteocyte cell density between sexes was variable and not uniformly statistically significant.

Effect of Immobilization on the Skeleton of Osteocyte Notch1/2 Inactivated Mice

In previous work, we reported a protective effect of the Notch activation in osteocytes on the skeleton during immobilization (Canalis et al., 2013a). To test whether the preferential Notch1 and Notch2 inactivation in osteocytes affected the bone loss that occurs during immobilization, the quadriceps and triceps surae muscle groups of 9 week or 12 week old Dmp1-Cre+/−;Notch1Δ/Δ;Notch2Δ/Δ male mice and sex-matched littermate controls were injected with BtxA or saline. Mice were sacrificed 3 weeks later, the known nadir of the effect of BtxA-induced immobilization on bone mass (Grimston et al., 2011). Muscle paralysis was confirmed by the digital abduction test, and saline-injected mice scored 0, whereas mice injected with BtxA scored (means ± SEM; n=14) 3.6 ± 0.2, respectively, confirming adequate paralysis (Aoki, 2001). μCT revealed an ~60% decrease in femoral cancellous bone volume in control and Dmp1-Cre+/−;Notch1Δ/Δ;Notch2Δ/Δ mice following BtxA administration (Table 6). Connectivity density was markedly decreased, structure model index revealed a tendency toward rod-like trabeculae, and cortical bone revealed a decrease in thickness and bone area following immobilization. There were no obvious differences between BtxA treated controls and Dmp1-Cre+/−;Notch1Δ/Δ;Notch2Δ/Δ mice at cancellous sites, although a greater decrease in cortical thickness was observed in one of two experiments in Notch1 and Notch2 null mice. These observations confirm that BtxA-induced immobilization causes bone loss and indicate that the preferential inactivation of Notch1 and Notch2 in osteocytes does not modify the loss of cancellous bone and has a modest impact at cortical sites.

Table 6.

Effect of botulinum toxin A-induced immobilization on femoral microarchitecture assessed by μCT in 12 and 15 week old male conditional Dmp1-Cre+/−;Notch1Δ/Δ;Notch2Δ/Δ mice and controls.

Experiment A Control Dmp1-Cre+/−;Notch1,2Δ/Δ
Saline
n = 4
BtxA
n = 3
Saline
n = 4
BtxA
n = 5
Distal Femur Trabecular Bone
    Bone Volume/Tissue Volume (%) 9.6 ± 2.1 4.0 ± 0.5* 7.9 ± 1.0 4.1 ± 0.3*
    Trabecular Separation (μm) 248 ± 9 249 ± 14 232 ± 8 238 ± 5
    Trabecular Number (1/mm) 4.0 ± 0.1 4.1 ± 0.3 4.3 ± 0.1 4.2 ± 0.1
    Trabecular Thickness (μm) 407 ± 3 263 ± 17* 372 ± 20 238 ± 4*
    Connectivity Density (1/mm3) 154 ± 31 69 ± 15* 177 ± 24 88 ± 16*
    Structure Model Index 2.2 ± 0.3 2.6 ± 0.1 2.4 ± 0.1 2.5 ± 0.1
    Density of Material (mg HA/cm3) 963 ± 10 916 ± 6* 963 ± 6 909 ± 6*
Femoral Midshaft Cortical Bone
    Bone Volume/Tissue Volume (%) 88.8 ± 0.8 85.9 ± 0.6 88.0 ± 0.8 83.4 ± 1.7*
    Porosity (%) 11.2 ± 0.8 14.1 ± 0.6 12.0 ± 0.8 16.6 ± 1.7 *
    Cortical Thickness (μm) 166 ± 3 129 ± 10* 156 ± 7 123 ± 8*
    Total Area (mm2) 2.1 ± 0.2 2.1 ± 0.1 2.0 ± 0.1 2.0 ± 0.1
    Bone Area (mm2) 0.94 ± 0.08 0.79 ± 0.02* 0.99 ± 0.02 0.85 ± 0.02*
    Periosteal Perimeter (μm) 5.1 ± 0.3 5.1 ± 0.1 5.0 ± 0.1 5.0 ± 0.1
    Endocortical Perimeter (mm) 3.7 ± 0.2 4.0 ± 0.2 3.5 ± 0.1 3.8 ± 0.1
    Density of Material (mg HA/cm3) 1171 ± 8 1149 ± 7 1168 ± 13 1164 ± 3
Experiment B Control Dmp1-Cre+/−;Notch1,2Δ/Δ
Saline
n = 3
BtxA
n = 2
Saline
n = 4
BtxA
n = 3
Distal Femur Trabecular Bone
    Bone Volume/Tissue Volume (%) 14.7 ± 3.5 6.0 ± 0.5* 14.8 ± 4.8 5.7 ± 0.4*
    Trabecular Separation (μm) 199 ± 7 225 ± 5 193 ± 9 213 ± 13
    Trabecular Number (1/mm) 5.0 ± 0.2 4.4 ± 0.1 5.2 ± 0.2 4.7 ± 0.2
    Trabecular Thickness (μm) 43 ± 6 33 ± 1 45 ± 3 31 ± 3*
    Connectivity Density (1/mm3) 374 ± 47 173 ± 30* 397 ± 36 214 ± 25*
    Structure Model Index 1.6 ± 0.4 2.8 ± 0.1* 1.8 ± 0.1 2.8 ± 0.1*
    Density of Material (mg HA/cm3) 996 ± 8 957 ± 9* 999 ± 5 967 ± 4*
Femoral Midshaft Cortical Bone
    Bone Volume/Tissue Volume (%) 91.8 ± 0.4 90.4 ± 0.3 90.6 ± 0.2 85.9 ± 0.1*#
    Porosity (%) 8.2 ± 0.4 9.6 ± 0.3 9.4 ± 0.2 14.2 ± 1.0*#
    Cortical Thickness (μm) 179 ± 9 151 ± 5* 160 ± 4 116 ± 6*#
    Total Area (mm2) 1.8 ± 0.2 1.7 ± 0.1 1.9 ± 0.1 1.9 ± 0.2
    Bone Area (mm2) 0.88 ± 0.05 0.74 ± 0.06* 0.92 ± 0.04 0.75 ± 0.05
    Periosteal Perimeter (μm) 4.8 ± 0.2 4.6 ± 0.1 4.9 ± 0.1 4.9 ± 0.2
    Endocortical Perimeter (mm) 3.5 ± 0.2 3.4 ± 0.1 3.6 ± 0.1 3.8 ± 0.2
    Density of Material (mg HA/cm3) 1158 ± 1 1135 ± 12 1170 ± 12 1137 ± 16

μCT was performed on femurs from Dmp1-Cre+/−;Notch1Δ/Δ;Notch2Δ/Δ mice and control littermates. In experiment A and B, 9 week and 12 week old mice, respectively, were injected with saline or BtxA and sacrificed 3 weeks later at 12 and 15 weeks of age. Values are means ± SEM

*

Significantly different between saline and BtxA injection, p < 0.05 by unpaired t test.

#

Significantly different between control and Dmp1-Cre+/−;Notch1Δ/Δ;Notch2Δ/Δ.

DISCUSSION

Our study verifies previous work demonstrating structural differences in cancellous and cortical bone between male and female C57BL/6J mice. Our findings also demonstrate a sex-dependent decline in cancellous bone osteocyte cell density as mice mature, so that osteocyte number/bone area is greater in fully mature female than in male C57BL/6J mice. In younger mice (1 to 3 months of age), the osteocyte number/cortical bone area also was higher in female than in male mice. These observations reveal compartment-specific influences of age and sex on osteocyte cell density in the skeleton. Although these observations may not apply to mice of other genetic compositions, the results of these studies suggest that osteocyte cell density is modestly influenced by age and sex. Moreover, the same tendency of a higher number of osteocytes/cancellous bone area was noted in 3 month old female 126SvJ/C57BL/6J mice under basal and under conditions of Notch misexpression. There are no immediate explanation for these findings, and RNASeq analysis failed to demonstrate meaningful differences in the gene expression profile in osteocyte-rich preparations from either sex. The results reported are in line with the sex-dependent differences in osteoblast number in C57BL/6J mice (Zanotti et al., 2014). A terminal fate of the osteoblast is its differentiation into osteocytes and since female C57BL/6J mice have a greater number of osteoblasts, one may have expected a greater number of osteocytes in female than in male mice. However, the results do not exclude alternate destinies for osteoblasts or a differential rate of osteoblast differentiation into osteocytes between male and female C57BL/6J mice.

Recent work has confirmed a rapid turnover of osteoblasts in vivo, and a selected number of these cells differentiate into osteocytes (Mizoguchi et al., 2014). Work from this and other laboratories has demonstrated that Notch activation arrests osteoblast cell differentiation (Engin et al., 2008; Hilton et al., 2008; Zanotti et al., 2008). Because of this reason, we expected a Notch-dependent effect on the osteocyte cell pool. The present work confirms that Notch activation in cells of the osteoblastic lineage with the capacity to differentiate into osteocytes or its activation in mature osteocytes causes an increase in cancellous bone. However, it demonstrates that Notch1 activation does not have a consistent or substantial effect on osteocyte cell density in either sex, although this does not exclude direct effects of Notch on osteocyte function. Notch activation in mature Dmp1 expressing cells did not cause obvious morphological changes in these cells. The conditional activation of Notch in “osteocyte precursors” and in mature osteocytes was achieved by expressing the Cre recombinase under the control of the Osterix or Dmp1 promoter, for the removal of a STOP cassette and release of the NICD. Osterix was used to direct Cre because Osterix expressing cells eventually differentiate into mature osteoblasts and osteocytes (Chen et al., 2014; Maes et al., 2010). Inactivation of Notch1 and 2 in Osterix expressing cells did not alter cancellous or cortical bone osteocytes of male or female mice while the inactivation of Notch1 and Notch2 in Dmp1 expressing cells caused a modest increase in osteocyte cell density in cancellous bone of male mice. The results suggest that Notch activity in osteocyte precursors or in mature osteocytes does not play a major role in the control of the osteocyte cell pool.

A central function of osteocytes is to sense mechanical signals and transduce these into biological signals that regulate skeletal cell function (Dallas et al., 2013). Recently, we demonstrated that mechanical stimulation of the MLOY4 osteocytic cell line using fluid flow shear stress induces Notch signaling (E. Canalis, unpublished observations), leading to the hypothesis that Notch regulates mechanotransduction in osteocytes. This function is not necessarily dependent on osteocyte cell density and may prove relevant to the mechanisms of Notch action in bone.

Because activation of Notch in osteocytes protects from the bone loss observed following the unloading of the skeleton, we postulated that the Notch inactivation in Dmp1 expressing osteocytes would lead to a greater bone loss following immobilization (Canalis et al., 2013a). However, microarchitectural analyses revealed a similar loss of cancellous and cortical bone in BtxA paralyzed limbs of control mice and of Notch1/Notch2 inactivated mice. The protective effect of the Notch activation in osteocytes from the consequences of skeletal unloading is probably related to a substantial suppression of bone resorption and an osteopetrotic phenotype. The fact that the Notch1 and Notch2 inactivation did not influence the effects of skeletal unloading may suggest that Notch plays only a limited function in the unloaded skeleton.

CONCLUSIONS

In conclusion, there is an age-dependent decline in cancellous bone osteocytes in male but not in female mice, and cortical osteocyte density is higher in younger female mice but osteocytes are only modestly affected by Notch signaling in either skeletal compartment.

ACKNOWLEDGMENTS

The authors thank F. Radtke for Notch1 and T. Gridley for Notch2 conditional mice. J. Feng for Dmp1-Cre transgenics, Jill Wegrzyn for performing bioinformatics analysis of RNASeq data, Allison Kent, Kristen Parker and David Bridgewater for technical assistance and Mary Yurczak for secretarial assistance.

Contract grant sponsor: National Institutes of Arthritis and Musculoskeletal and Skin Diseases (NIAMS) and Office of Research for Women's Health; Contract Grant Number: AR063049

ABBREVIATIONS

The abbreviations used are:

BA

bone area

BV/TV

bone volume/total volume

BtxA

botulinum toxin A

Conn.D

connectivity density

Dmp1

Dentin matrix protein 1

NICD

Notch intracellular domain

Osx

Osterix

P.peri

periosteal perimeter

P.endo

periosteal endocortical perimeter

qRT

quantitative reverse transcription

PCR

polymerase chain reaction

Rankl

receptor activator of Nuclear factor kappa B ligand

Rbpjκ

recombination signal binding protein for immunoglobulin kappa J region

RNASeq

RNA sequence

SMI

structure model index

TA

tissue area

Tb.N

trabecular number

Tb.Th

trabecular thickness

μCT

microcomputed tomography

Footnotes

Competing interests: The authors declare that they have no competing interests.

REFERENCES

  1. Aoki KR. A comparison of the safety margins of botulinum neurotoxin serotypes A, B, and F in mice. Toxicon. 2001;39:1815–1820. doi: 10.1016/s0041-0101(01)00101-5. [DOI] [PubMed] [Google Scholar]
  2. Borggrefe T, Liefke R. Fine-tuning of the intracellular canonical Notch signaling pathway. Cell Cycle. 2012;11:264–276. doi: 10.4161/cc.11.2.18995. [DOI] [PubMed] [Google Scholar]
  3. Bouxsein ML, Boyd SK, Christiansen BA, Guldberg RE, Jepsen KJ, Muller R. Guidelines for assessment of bone microstructure in rodents using micro-computed tomography. J Bone Miner Res. 2010;25:1468–1486. doi: 10.1002/jbmr.141. [DOI] [PubMed] [Google Scholar]
  4. Buchholz F, Ringrose L, Angrand PO, Rossi F, Stewart AF. Different thermostabilities of FLP and Cre recombinases: implications for applied site-specific recombination. Nucleic Acids Res. 1996;24:4256–4262. doi: 10.1093/nar/24.21.4256. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Canalis E, Adams DJ, Boskey A, Parker K, Kranz L, Zanotti S. Notch Signaling in Osteocytes Differentially Regulates Cancellous and Cortical Bone Remodeling. J Biol Chem. 2013a;288:25614–25625. doi: 10.1074/jbc.M113.470492. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Canalis E, Parker K, Feng JQ, Zanotti S. Osteoblast Lineage-specific Effects of Notch Activation in the Skeleton. Endocrinology. 2013b;154:623–634. doi: 10.1210/en.2012-1732. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Chen J, Shi Y, Regan J, Karuppaiah K, Ornitz DM, Long F. Osx-Cre targets multiple cell types besides osteoblast lineage in postnatal mice. PLoS One. 2014;9:e85161. doi: 10.1371/journal.pone.0085161. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Dallas SL, Prideaux M, Bonewald LF. The osteocyte: an endocrine cell ... and more. Endocr Rev. 2013;34:658–690. doi: 10.1210/er.2012-1026. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Dempster DW, Compston JE, Drezner MK, Glorieux FH, Kanis JA, Malluche H, Meunier PJ, Ott SM, Recker RR, Parfitt AM. Standardized nomenclature, symbols, and units for bone histomorphometry: a 2012 update of the report of the ASBMR Histomorphometry Nomenclature Committee. J Bone Miner Res. 2013;28:2–17. doi: 10.1002/jbmr.1805. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Engin F, Yao Z, Yang T, Zhou G, Bertin T, Jiang MM, Chen Y, Wang L, Zheng H, Sutton RE, Boyce BF, Lee B. Dimorphic effects of Notch signaling in bone homeostasis. Nat Med. 2008;14:299–305. doi: 10.1038/nm1712. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Fortini ME. Notch signaling: the core pathway and its posttranslational regulation. Dev Cell. 2009;16:633–647. doi: 10.1016/j.devcel.2009.03.010. [DOI] [PubMed] [Google Scholar]
  12. Glatt V, Canalis E, Stadmeyer L, Bouxsein ML. Age-Related Changes in Trabecular Architecture Differ in Female and Male C57BL/6J Mice. J Bone Miner Res. 2007;22:1197–1207. doi: 10.1359/jbmr.070507. [DOI] [PubMed] [Google Scholar]
  13. Grimston SK, Goldberg DB, Watkins M, Brodt MD, Silva MJ, Civitelli R. Connexin43 deficiency reduces the sensitivity of cortical bone to the effects of muscle paralysis. J Bone Miner Res. 2011;26:2151–2160. doi: 10.1002/jbmr.425. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Halleux C, Kramer I, Allard C, Kneissel M. Isolation of mouse osteocytes using cell fractionation for gene expression analysis. Methods Mol Biol. 2012;816:55–66. doi: 10.1007/978-1-61779-415-5_5. [DOI] [PubMed] [Google Scholar]
  15. Hilton MJ, Tu X, Wu X, Bai S, Zhao H, Kobayashi T, Kronenberg HM, Teitelbaum SL, Ross FP, Kopan R, Long F. Notch signaling maintains bone marrow mesenchymal progenitors by suppressing osteoblast differentiation. Nat Med. 2008;14:306–314. doi: 10.1038/nm1716. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Kovall RA. More complicated than it looks: assembly of Notch pathway transcription complexes. Oncogene. 2008;27:5099–5109. doi: 10.1038/onc.2008.223. [DOI] [PubMed] [Google Scholar]
  17. Kramer I, Halleux C, Keller H, Pegurri M, Gooi JH, Weber PB, Feng JQ, Bonewald LF, Kneissel M. Osteocyte Wnt/beta-catenin signaling is required for normal bone homeostasis. Mol Cell Biol. 2010;30:3071–3085. doi: 10.1128/MCB.01428-09. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Lu Y, Xie Y, Zhang S, Dusevich V, Bonewald LF, Feng JQ. DMP1-targeted Cre expression in odontoblasts and osteocytes. J Dent Res. 2007;86:320–325. doi: 10.1177/154405910708600404. [DOI] [PubMed] [Google Scholar]
  19. Maes C, Kobayashi T, Selig MK, Torrekens S, Roth SI, Mackem S, Carmeliet G, Kronenberg HM. Osteoblast precursors, but not mature osteoblasts, move into developing and fractured bones along with invading blood vessels. Dev Cell. 2010;19:329–344. doi: 10.1016/j.devcel.2010.07.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Manske SL, Boyd SK, Zernicke RF. Muscle and bone follow similar temporal patterns of recovery from muscle-induced disuse due to botulinum toxin injection. Bone. 2010;46:24–31. doi: 10.1016/j.bone.2009.10.016. [DOI] [PubMed] [Google Scholar]
  21. Marguerat S, Bahler J. RNA-seq: from technology to biology. Cell Mol Life Sci. 2010;67:569–579. doi: 10.1007/s00018-009-0180-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. McCright B, Lozier J, Gridley T. Generation of new Notch2 mutant alleles. Genesis. 2006;44:29–33. doi: 10.1002/gene.20181. [DOI] [PubMed] [Google Scholar]
  23. Mizoguchi T, Pinho S, Ahmed J, Kunisaki Y, Hanoun M, Mendelson A, Ono N, Kronenberg HM, Frenette PS. Osterix marks distinct waves of primitive and definitive stromal progenitors during bone marrow development. Developmental cell. 2014;29:340–349. doi: 10.1016/j.devcel.2014.03.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Murtaugh LC, Stanger BZ, Kwan KM, Melton DA. Notch signaling controls multiple steps of pancreatic differentiation. Proc Natl Acad Sci U S A. 2003;100:14920–14925. doi: 10.1073/pnas.2436557100. [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Nakashima K, Zhou X, Kunkel G, Zhang Z, Deng JM, Behringer RR, de CB. The novel zinc finger-containing transcription factor osterix is required for osteoblast differentiation and bone formation. Cell. 2002;108:17–29. doi: 10.1016/s0092-8674(01)00622-5. [DOI] [PubMed] [Google Scholar]
  26. Nakashima T, Hayashi M, Fukunaga T, Kurata K, Oh-Hora M, Feng JQ, Bonewald LF, Kodama T, Wutz A, Wagner EF, Penninger JM, Takayanagi H. Evidence for osteocyte regulation of bone homeostasis through RANKL expression. Nat Med. 2011;17:1231–1234. doi: 10.1038/nm.2452. [DOI] [PubMed] [Google Scholar]
  27. Nam Y, Sliz P, Song L, Aster JC, Blacklow SC. Structural basis for cooperativity in recruitment of MAML coactivators to Notch transcription complexes. Cell. 2006;124:973–983. doi: 10.1016/j.cell.2005.12.037. [DOI] [PubMed] [Google Scholar]
  28. Parfitt AM, Drezner MK, Glorieux FH, Kanis JA, Malluche H, Meunier PJ, Ott SM, Recker RR. Bone histomorphometry: standardization of nomenclature, symbols, and units. Report of the ASBMR Histomorphometry Nomenclature Committee. J Bone Miner Res. 1987;2:595–610. doi: 10.1002/jbmr.5650020617. [DOI] [PubMed] [Google Scholar]
  29. Poliachik SL, Bain SD, Threet D, Huber P, Gross TS. Transient muscle paralysis disrupts bone homeostasis by rapid degradation of bone morphology. Bone. 2010;46:18–23. doi: 10.1016/j.bone.2009.10.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Radtke F, Wilson A, Stark G, Bauer M, van MJ, MacDonald HR, Aguet M. Deficient T cell fate specification in mice with an induced inactivation of Notch1. Immunity. 1999;10:547–558. doi: 10.1016/s1074-7613(00)80054-0. [DOI] [PubMed] [Google Scholar]
  31. Rodda SJ, McMahon AP. Distinct roles for Hedgehog and canonical Wnt signaling in specification, differentiation and maintenance of osteoblast progenitors. Development. 2006;133:3231–3244. doi: 10.1242/dev.02480. [DOI] [PubMed] [Google Scholar]
  32. Sauer B, Henderson N. Site-specific DNA recombination in mammalian cells by the Cre recombinase of bacteriophage P1. Proc Natl Acad Sci U S A. 1988;85:5166–5170. doi: 10.1073/pnas.85.14.5166. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Schroeter EH, Kisslinger JA, Kopan R. Notch-1 signalling requires ligand-induced proteolytic release of intracellular domain. Nature. 1998;393:382–386. doi: 10.1038/30756. [DOI] [PubMed] [Google Scholar]
  34. Stanger BZ, Datar R, Murtaugh LC, Melton DA. Direct regulation of intestinal fate by Notch. Proc Natl Acad Sci U S A. 2005;102:12443–12448. doi: 10.1073/pnas.0505690102. [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Tatsumi S, Ishii K, Amizuka N, Li M, Kobayashi T, Kohno K, Ito M, Takeshita S, Ikeda K. Targeted ablation of osteocytes induces osteoporosis with defective mechanotransduction. Cell Metab. 2007;5:464–475. doi: 10.1016/j.cmet.2007.05.001. [DOI] [PubMed] [Google Scholar]
  36. Tu X, Delgado-Calle J, Condon KW, Maycas M, Zhang H, Carlesso N, Taketo MM, Burr DB, Plotkin LI, Bellido T. Osteocytes mediate the anabolic actions of canonical Wnt/beta-catenin signaling in bone. Proc Natl Acad Sci U S A. 2015;112:E478–486. doi: 10.1073/pnas.1409857112. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Wang Z, Gerstein M, Snyder M. RNA-Seq: a revolutionary tool for transcriptomics. Nat Rev Genet. 2009;10:57–63. doi: 10.1038/nrg2484. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Warner SE, Sanford DA, Becker BA, Bain SD, Srinivasan S, Gross TS. Botox induced muscle paralysis rapidly degrades bone. Bone. 2006;38:257–264. doi: 10.1016/j.bone.2005.08.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Wilson JJ, Kovall RA. Crystal structure of the CSL-Notch-Mastermind ternary complex bound to DNA. Cell. 2006;124:985–996. doi: 10.1016/j.cell.2006.01.035. [DOI] [PubMed] [Google Scholar]
  40. Xiong J, Onal M, Jilka RL, Weinstein RS, Manolagas SC, O'Brien CA. Matrix-embedded cells control osteoclast formation. Nat Med. 2011;17:1235–1241. doi: 10.1038/nm.2448. [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Xiong J, Piemontese M, Onal M, Campbell J, Goellner JJ, Dusevich V, Bonewald L, Manolagas SC, O'Brien CA. Osteocytes, not Osteoblasts or Lining Cells, are the Main Source of the RANKL Required for Osteoclast Formation in Remodeling Bone. PLoS One. 2015;10:e0138189. doi: 10.1371/journal.pone.0138189. [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Zanotti S, Canalis E. Notch and the Skeleton. Mol Cell Biol. 2010;30:886896. doi: 10.1128/MCB.01285-09. [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Zanotti S, Canalis E. Notch1 and Notch2 expression in osteoblast precursors regulates femoral microarchitecture. Bone. 2014;62:2228. doi: 10.1016/j.bone.2014.01.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Zanotti S, Kalajzic I, Aguila HL, Canalis E. Sex and genetic factors determine osteoblastic differentiation potential of murine bone marrow stromal cells. PLoS One. 2014;9:e86757. doi: 10.1371/journal.pone.0086757. [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Zanotti S, Smerdel-Ramoya A, Stadmeyer L, Durant D, Radtke F, Canalis E. Notch Inhibits Osteoblast Differentiation And Causes Osteopenia. Endocrinology. 2008;149:3890–3899. doi: 10.1210/en.2008-0140. [DOI] [PMC free article] [PubMed] [Google Scholar]

RESOURCES