Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2021 Feb 14.
Published in final edited form as: Sci Transl Med. 2020 May 20;12(544):eaav9166. doi: 10.1126/scitranslmed.aav9166

ATRAID regulates the action of nitrogen-containing bisphosphonates on bone

Lauren E Surface 1,&, Damon T Burrow 2, Jinmei Li 2, Jiwoong Park 2, Sandeep Kumar 2, Cheng Lyu 2, Niki Song 2, Zhou Yu 1,^, Abbhirami Rajagopal 3,#, Yangjin Bae 3, Brendan H Lee 3, Steven Mumm 2,4, Charles C Gu 5, Jonathan C Baker 6, Mahshid Mohseni 2, Melissa Sum 7, Margaret Huskey 2, Shenghui Duan 2, Vinieth N Bijanki 4, Roberto Civitelli 2, Michael J Gardner 8, Chris M McAndrew 9, William M Ricci 10, Christina A Gurnett 9,11, Kathryn Diemer 2, Fei Wan 12, Christina L Costantino 13, Kristen M Shannon 14, Noopur Raje 14, Thomas B Dodson 15,@, Daniel A Haber 14,16, Jan E Carette 17, Malini Varadarajan 18, Thijn R Brummelkamp 19,20,21, Kivanc Birsoy 22, David M Sabatini 16,23,24,25, Gabe Haller 11,26, Timothy R Peterson 2,27,28,*
PMCID: PMC7882121  NIHMSID: NIHMS1664105  PMID: 32434850

Abstract

Nitrogen-containing bisphosphonates (N-BPs), such as alendronate, are the most widely prescribed medications for diseases involving bone, with nearly 200 million prescriptions written annually. Recently, widespread use of N-BPs has been challenged due to the risk of rare but traumatic side effects such as atypical femoral fracture (AFFs) and osteonecrosis of the jaw (ONJ). N-BPs bind to and inhibit farnesyl diphosphate synthase (FDPS), resulting in defects in protein prenylation. Yet it remains poorly understood what other cellular factors might allow N-BPs to exert their pharmacological effects. Here, we performed genome-wide studies in cells and patients to identify the poorly characterized gene, ATRAID. Loss of ATRAID function results in selective resistance to N-BP-mediated loss of cell viability and the prevention of alendronate-mediated inhibition of prenylation. ATRAID is required for alendronate inhibition of osteoclast function, and ATRAID-deficient mice have impaired therapeutic responses to alendronate in both postmenopausal and senile (old age) osteoporosis models. Lastly, we performed exome sequencing on patients taking N-BPs that suffered ONJ or an AFF. ATRAID is one of three genes that contain rare non-synonymous coding variants in patients with ONJ or AFF that is also differentially expressed in poor outcome groups of patients treated with N-BPs. We functionally validated this patient variation in ATRAID as conferring cellular hypersensitivity to N-BPs. Our work adds key insight into the mechanistic action of N-BPs and the processes that might underlie differential responsiveness to N-BPs in people.

One Sentence Summary:

ATRAID is essential for responses to the commonly prescribed osteoporosis drugs nitrogen-containing bisphosphonates.

INTRODUCTION

Nitrogen-containing bisphosphonates (N-BPs) are the standard treatment for osteoporosis and several other bone diseases (1, 2). Certain N-BPs (pamidronate, zoledronate) are also routinely prescribed to prevent skeletal complications in patients with multiple myeloma and with bone metastases from other malignancies, including breast and prostate cancer (3). However, because N-BPs cause rare yet serious side-effects, such as atypical fractures (AFFs) and osteonecrosis of the jaw (ONJ), many patients avoid taking them (1, 46), causing the number of prescriptions to plummet over 50% in the last decade (6, 7). A plan for addressing this crisis, developed by American Society for Bone and Mineral Research (ASBMR) leadership, calls for better pharmacogenomics to identify genetic factors that may underlie response to this class of drugs (6).

A goal of personalized medicine is to identify biomarkers that underlie drug responsiveness. For N-BPs, it can be said that there are limited personalization options owing to the limited number of genes implicated in the pharmacologic effects of N-BPs. Exposure of cells to N-BPs leads to inhibition of farnesyl diphosphate synthase (FDPS, also known as FPPS) resulting in reduction in protein prenylation (8). On the basis of this observation, it is widely believed that N-BPs act therapeutically by impairing protein prenylation, ultimately leading to deficits in numerous cellular processes including differentiation, recruitment, and adhesion of osteoclasts (the major bone resorptive cell type) to bone and/or osteoclast cell death (911).

Recently we performed CRISPRi-based, genome-wide screening and identified a poorly characterized gene, SLC37A3, that provides molecular details for how N-BPs reach their target, FDPS (12). As part of that work we determined that SLC37A3 requires another poorly characterized protein, ATRAID, for its expression (12). Here, we independently identified ATRAID using a different genome-wide, mutagenesis strategy. We generated Atraid-deficient mice and determined that it is required for the regulation of N-BPs on bone. We also performed exome sequencing in patients taking N-BPs and identified and functionally validated rare coding variants in ATRAID in patients that suffered side effects, namely atypical femoral fractures and osteonecrosis of the jaw.

RESULTS

ATRAID is required for molecular responses to nitrogen-containing bisphosphonates

To provide insight into the mechanism(s) of N-BPs action, we performed a genetic screen to identify human genes required for the anti-proliferative effects of N-BPs (Fig. 1A). We used a largely haploid human cell line of myeloid origin (KBM7, also known as HAP1) to generate a library of retroviral gene trap mutants (13) and then selected for clones that are resistant to cytotoxic concentrations of alendronate (ALN). The advantages of this cell line for genetic screening include: i) each gene is present as a single copy, enabling gene inactivation (except those genes on chromosome 8); ii) KBM7 cells are human and of the hematopoietic lineage, increasing the likelihood that any genes we identify could be relevant to the natural context for N-BPs, the bones of human patients (14); and iii) it is a different cell line and a different mutagenic approach than used previously with CRISPRi in K562 cells (12), which allows us to independently assess those results. Using this haploid approach, we identified, ATRAID, also known as APR-3/C2orf28 (15), as the gene most significantly enriched for insertions in alendronate-resistant cells compared to untreated cells (FDR corrected P-value = 7.02e-45) (Fig. 1B; fig. S1, A and B, and table S1). Providing confidence in our screen, we also identified SLC37A3, as well as SNTG1, PLCL1, and EPHB1, which have been previously connected to N-BP action on bone cells and/or human bone diseases (table S1) (1618).

Fig. 1. ATRAID is required for molecular responses to nitrogen-containing bisphosphonates.

Fig. 1.

(A) Schematic of haploid mutagenesis screening pipeline. Sequencing-based identification of gene-trap insertion sites in alendronate-resistant human haploid KBM7 cells. Genomic DNA for sequencing was obtained from mutagenized KBM7 cells grown for four weeks post-treatment with alendronate (165 μM). (B) Sequencing-based identification of gene-trap insertion sites in alendronate-resistant cells. N=number of unique insertions within the stated gene locus. False discovery rate corrected (FDR) P-values for ATRAID=7.02×10−45, PLCL1=1.02×10−04, EPHB1=2.05×10−04, SNTG1= 1.84×10−03. P-values represent enrichment in alendronate-treated versus vehicle treated cells. (C) Schematic representation of structural features of human ATRAID protein and its mouse and frog orthologues. (D) Cell viability in wild-type control and ATRAID-deficient cells exogenously expressing or not expressing ATRAID cDNA. Cells were treated with alendronate (60 μM) and analyzed for cell viability. Cell viability was determined by measuring cellular ATP and is expressed as a ratio of that compared with untreated cells. Error bars indicate the standard deviation for n=4 (biological replicates). N.S., not significant; *P < 0.05, student’s t-test. v2, variant 2 (NM_080592.3); v3, variant 3 (NM_001170795.1) of the ATRAID gene, respectively. (E) Chemical structures for nitrogen-containing bisphosphonates (N-BPs) or non-nitrogen-containing bisphosphonates (BP). KBM7 cell viability in ATRAID-deficient (ATRAID_GT1 and ATRAID_GT2) and control (wild-type) KBM7 cells upon treatment with nitrogen-containing bisphosphonates (N-BPs) or non-nitrogen-containing bisphosphonates (BP). All cells were treated with the indicated concentration of the indicated N-BP (alendronate, zoledronate), BP (etidronate, tiludronate) for 72 hours. Cell viability was determined by measuring cellular ATP and is expressed as a ratio of that compared with untreated cells. All measurements were performed in quadruplicate (biological replicates). *P < 0.05, student’s t-test. (F) Immunoblots of cell lysates from ATRAID-deficient and ATRAID v3-reconstituted HEK-293T cells treated with the indicated dose of alendronate for 24 hours. Equal amounts of protein were loaded in each lane. This experiment was repeated three times (biological replicates) and was consistent all three times. *non-specific band.

ATRAID was named because it is a gene whose mRNA expression is strongly induced by the ligand all-trans retinoic acid (15). ATRAID is conserved in chordates and contains a signal peptide, Toll-like-receptor leucine rich repeat, EGF-like domain, and a transmembrane domain (Fig. 1C and fig. S1A) (19, 20). The alendronate resistance phenotype of ATRAID-deficient cells (ATRAID_GT1 (gene-trap1) and ATRAID_GT2 (gene-trap2) was reversed by the re-introduction of wild-type ATRAID splice variant 2 (v2) or splice variant 3 (v3) cDNA, which differ in their N-termini (Fig. 1D; fig. S1, A and B). To better understand the degree of alendronate resistance in ATRAID-deficient cells, we varied both cell number and drug concentration in the viability assay. ATRAID-deficient cells were resistant to alendronate over two to three orders of magnitude of drug concentration or cell number (fig. S1C). The growth of untreated wild-type and ATRAID-deficient cells didn’t differ (fig. S1D). Overexpression of full-length ATRAID (v2) sensitized cells to alendronate (fig. S1E). Lastly, ATRAID membrane targeting is required for the anti-proliferative effects of alendronate, as ATRAID-deficient cells complemented with full-length ATRAID (v2) were sensitive to the cytotoxic effects of alendronate, whereas those expressing the membrane truncated form remained resistant (fig. S1F). Taken together, these data establish ATRAID as a genetic factor required for the growth inhibitory effects of alendronate.

N-BPs are part of a larger class of compounds known as bisphosphonates (BPs) that contain two phosphate moieties each joined to a carbon atom by a carbon-phosphorus bond (21) (Fig. 1E). To determine whether the effects of ATRAID deficiency on alendronate resistance were specific to nitrogen-containing bisphosphonates, we tested the effect of several nitrogen-containing and non-nitrogen-containing bisphosphonates on wild-type and mutant ATRAID cells. ATRAID-deficient cells were resistant to the nitrogen-containing bisphosphonates, alendronate and zoledronate (ZOL), but were as sensitive to the non-nitrogen-containing bisphosphonates, etidronate and tiludronate, as control cells (Fig. 1E).

To determine whether ATRAID is required for the reduction in protein prenylation observed upon N-BP treatment, we monitored the prenylation of several proteins, including the heat shock protein DnaJ (Hsp40) homolog HDJ-2, and the Ras family GTPase Rap1a (22). Alendronate strongly inhibited prenylation of HDJ-2 and Rap1a in wild-type cells in a dose dependent manner and had much less of an effect on prenylation of these proteins in ATRAID-deficient cells (Fig. 1F). Furthermore, the inhibitory effect of alendronate on prenylation was rescued when ATRAID cDNA variants (v2 and v3) were introduced (fig. S1F). We observed inhibition of prenylation resistance at N-BP doses where we did not see PARP-1 cleavage in ATRAID deficient cells, suggesting that ATRAID can mediate the effect on prenylation independent of apoptosis (fig. S1G). Thus, these findings suggest ATRAID functions as a positive regulator upstream of FDPS.

ATRAID is required for organismal responses to nitrogen-containing bisphosphonates

To determine whether ATRAID modulates organismal responses to N-BPs we inactivated Atraid globally in mice (23). We confirmed deletion of Atraid exons 3–5 and determined that Atraid homozygous deleted AtraidKO mice (labeled KO, −/−) are viable but their body weight is mildly reduced compared with litter-matched derived, wild-type controls (labeled as WT, +/+) (fig. S2, A to C). We confirmed that tail fibroblasts derived from AtraidKO animals are resistant to the cytotoxic effects of alendronate (fig. S2, D and E). Before studying the effects of the N-BPs in the context of Atraid loss, we first characterized the basal role of Atraid in bones. We determined that Atraid mRNA expression was undetectable in the bones of AtraidKO animals and that AtraidKO mice had slightly smaller bones compared with litter-matched derived, wild-type control mice (fig. S2, F and G). To examine the effects of Atraid on bone structure, we performed micro-computed tomography (μCT) analysis (24). Atraid deficiency did not decrease either trabecular or cortical structural parameters (fig. S2, H and I; data file S1). We measured bone strength using three-point bending tests (25). Some measures, such as stiffness (Newtons/millimeter, N/mm) and post-yield displacement (a measure of bone fragility, in millimeters, mm) were decreased by Atraid deficiency, whereas others, such as yield load (the point where bone bending goes from elastic vs. plastic, in Newtons, N), were not significantly altered (fig. S2, J to L; data file S1, P > 0.05, student’s t-test).

Osteoclasts release degradation products from C-terminal telopeptides of type I collagen (CTX-I) from bone into blood (26), and CTX-I in serum was not significantly different in wild-type mice compared with AtraidKO mice (fig. S2M; data file S1, P > 0.05, student’s t-test). Histomorphometric measures of osteoclast function including osteoclast surface per bone surface (Oc.S/BS) (27), as judged by Tartrate Resistant Acid Phosphatase (TRAP) staining (28), were also not statistically different (fig. S2N; data file S2). Consistent with a basal defect in osteoblast function (29), AtraidKO mice have reduced serum circulating Gla-Osteocalcin [Gla-OC; the activated form of osteocalcin, incorporated in bone matrix (30)] and modestly reduced bone formation rate (BFR) as measured by double-labeling (27) (fig. S2, O and P; data file S1).

To test the effect of alendronate in a model that mimics menopausal bone loss, the most common indication for the N-BPs, we performed ovariectomies (OVX) on adult female mice (Fig. 2A) (31). When ovaries are removed from females, the changes in estrogen cause a reduction in bone density triggered by disruption of the balance of osteoblast and osteoclast functions. This loss of bone density can be alleviated by treatment with N-BPs (32). The magnitude of trabecular bone loss in WT and AtraidKO sham mice four weeks after OVX is exemplified in the μCT 3D reconstruction of the femoral proximal metaphysis (Fig. 2B). Consistent with alendronate preventing bone loss (32), femoral cortical and trabecular structural parameters, including cortical thickness and area, bone volume/trabecular volume (%), and trabecular thickness, were increased by alendronate treatment of WT OVX mice (Fig. 2, C to F and data file S1; see WT OVX +/− alendronate). In contrast, alendronate had blunted effects in AtraidKO OVX mice (Fig. 2, C to F and data file S1; see ATRAIDKO OVX +/− alendronate).

Fig. 2. Atraid is required for organismal responses to nitrogen-containing bisphosphonates.

Fig. 2.

(A) Schematic of mouse menopausal bone loss model – bilateral ovariectomy (OVX). Saline or 100 μg/kg/week alendronate was administered concurrent with OVX or a sham procedure. After four weeks, mice were euthanized and bones and serum were extracted and analyzed. (B) Representative μCT reconstructions of femoral trabecular bone from 4-month-old litter-matched derived, wild-type, Atraid WT (+/+), and KO (−/−), female mice that were either ovariectomized (OVX) or sham operated (Sham), treated with either vehicle (saline) (+OVX), or alendronate (+OVX+ALN) for four weeks. (C-F) Ovariectomized WT and Atraid KO mice and their bone microstructural responses to alendronate. Femur cortical (C, D) and trabeculae (E, F) regions were analyzed by μCT. Each circle represents an individual animal. Circles offset to the right represent unique animals with similar values to those of another animal (offset for visual clarity). N=6–11 mice (3.5 month old) per group. *P < 0.01, # indicates 0.01<P<0.05, student’s t-test and red line indicates mean. (G-H) Ovariectomized WT and Atraid KO mice and their bone strength responses to alendronate. Stiffness (G) and yield load (H) were analyzed by three-point bending test. Each circle represents an individual animal. Circles offset to the right represent unique animals with similar values to those of another animal (offset for visual clarity). N=6–11 mice per group. *P < 0.01, #0.01 < P < 0.05, N.S., indicates not significant, student’s t-test, and red line indicates mean.

The same patterns of alendronate resistance in AtraidKO mice were observed for bone strength (Fig. 2, G and H). That is, alendronate increased bone strength as judged by stiffness and yield load in wild-type ovariectomized mice, but its effects were blunted in AtraidKO matched cohorts (Fig. 2, G and H; data file S1). Taken together, these results suggest that Atraid is required for the beneficial effects of N-BPs in ovariectomized female mice.

To test an additional osteoporosis model, we examined senile (old age) osteoporosis using 18 month-old male WT and Atraid deficient mice (33). After treating these mice weekly with alendronate or saline for two months, we found similar results to those in our OVX study. That is, measures of bone density were increased by alendronate, but less so in the Atraid deficient mice (fig. S2, Q and R, data file S1). This further suggests Atraid is key for responses to N-BPs in vivo.

ATRAID is required cell-autonomously for N-BP inhibition of osteoclast function

Because N-BPs potentially affect osteoclasts and osteoblasts, we investigated whether Atraid deficiency would regulate the effects of alendronate in each cell type in our post-menopausal (OVX) and old-age (senile) osteoporosis models. Regarding osteoclasts, in wild-type mice both serum and bone histological markers of osteoclast function, CTX-I, and osteoclast surface per bone surface (Oc.S/BS) and osteoclast number per bone surface (N.Oc/BS), respectively, were impaired by alendronate treatment (Fig. 3, A and B; fig. S3, A and B; data file S2) in both osteoporosis models. In contrast, in AtraidKO mice, alendronate was less effective on osteoclasts in both osteoporosis models (Fig. 3, A and B; fig. S3, A and B; data file S2). That osteoclast number was reduced by N-BPs in wild-type mice is consistent with our cell viability measurements in non-osteoclasts and with previous literature (32).

Fig. 3. Atraid is required cell-autonomously for N-BP inhibition of osteoclast prenylation.

Fig. 3.

(A) CTX-I, a serum marker of osteoclast activity, was measured in WT and AtraidKO ovariectomized mice with or without alendronate treatment by ELISA. Each circle represents an individual animal. Circles offset to the right represent unique animals with similar values to those of another animal (offset for visual clarity). N=8–13 mice per group. *P < 0.05, student’s t-test. (B) Osteoclast histomorphometric responses in WT and AtraidKO ovariectomized mice with or without alendronate treatment. Osteoclast surface to bone surface ratio (Oc.S/BS) was determined by Tartrate Acid Phosphatase (TRAP)-assay reactivity. Each circle represents an individual animal. Circles offset to the right represent unique animals with similar values to those of another animal (offset for visual clarity). N=5–7 mice per group. *P < 0.05, n.s. indicates not significant, student’s t-test, and red line indicates mean. (C) Quantitative PCR to examine mRNA expression of markers of osteoclast differentiation, Ctsk, Tnfrsf11a (RANK), Acp5 (TRAP), in wild-type (WT) and AtraidKO M-CSF-expanded bone marrow macrophages (BMMs) differentiated with RANKL to osteoclasts. Expression is normalized to wild-type, undifferentiated BMM cells, using Actb and Rplp0 as control genes. Error bars represent the standard deviation of technical triplicate reactions. (D) Percent of Annexin-V positive cells after a 48 hour alendronate treatment of WT and AtraidKO BMMs differentiated into osteoclasts. Annexin V staining was assessed using flow cytometry. Each circle represents osteoclasts derived from an individual animal (split for treatment with 0, 10 μM, 30 μM alendronate). Red line indicates mean. *P < 0.05, N.S. indicates not significant, student’s t-test. (E) Percent of Annexin-V positive cells after a 48 hour alendronate treatment (0, 30 μM, 80 μM) in wild-type and AtraidKO differentiated RAW 264.7 osteoclasts. Annexin V staining was assessed using flow cytometry. Error bars represent the standard deviation of n=3 experiments (biological replicates), *P < 0.05, student’s t-test. (F) Immunoblots of cell lysates of RAW wild-type (WT) and AtraidKO (KO) cells, and RAW 264.7-derived osteoclasts treated with alendronate for 48 hours. Top panel: immunoblot specific to the unprenylated version of Rap1a. Bottom panel: Gapdh, serving as a loading control. Alendronate concentrations were 0, 20 μM, 80 μM. (G) Representative image of a six-well dish co-culture of equal numbers of mouse primary osteoblasts and osteoclasts of the indicated genotypes with or without the indicated doses of alendronate (ALN) for four days. The experiment was performed three independent times with a similar result. Red staining reflects TRAP-assay reactivity. (H) Image analysis of the samples in (G). Error bars represent the standard deviation of n=3 independent images (technical replicates). *P < 0.01, N.S. indicates not significant, student’s t-test.

To provide insight into the effects of N-BPs on osteoblasts in our osteoporosis models, we measured BFR and mineral apposition rate (MAR) (27). Unlike BFR in which the rate is normalized by the amount of labeled bone surface, MAR is the rate of bone formation irrespective of how much of the bone is active (27). Alendronate did not affect trabecular MAR or BFR in either wild-type or AtraidKO mice in either osteoporosis model (fig. S3, C and D; data file S2).

To determine whether Atraid is required in a cell autonomous manner for the N-BP-dependent effects on osteoclasts, we isolated M-CSF-expanded bone marrow macrophages (BMMs) from both WT and AtraidKO mice, and differentiated these cells into osteoclasts following a standard protocol (34). AtraidKO BMMs differentiated into osteoclasts as well as wild-type cells irrespective of treatment with alendronate, yet BMM-derived AtraidKO osteoclasts were resistant to alendronate-induced apoptosis (Fig. 3, C and D). This suggests that Atraid is required cell autonomously in osteoclasts for the effects of N-BPs on cell number.

As an independent confirmation of our primary cell experiments, we generated Atraid knockout RAW 264.7 cells and differentiated them to osteoclasts (fig. S3E). RAW 264.7 cells are a robust, well-characterized murine macrophage cell line that can be differentiated to osteoclast-like cells using RANKL (35). We treated both RAW 264.7 cells and the RAW 264.7 cells differentiated into osteoclasts with alendronate, and found Atraid deficiency, as expected, conferred resistance to doses that induced apoptosis (Fig. 3E). Alendronate did not affect known markers of osteoclast differentiation in wild-type cells (Fig. 3C). Therefore, to pursue the mechanism of N-BPs on osteoclast function, we focused on prenylation. In alendronate-treated RAW 264.7 cells and osteoclasts differentiated from RAW 264.7 cells, we found that AtraidKO cells were resistant to alendronate-induced inhibition of prenylation (Fig. 3F).

We assessed whether wild-type osteoblasts might sensitize Atraid-deficient osteoclasts to N-BPs. We cultured primary wild-type osteoblasts with either WT or Atraid-deficient primary osteoclasts and treated these co-cultures with alendronate or vehicle. As in the case of WT RAW 264.7 cells grown independently (Fig. 3, E and F), WT osteoclasts were more inhibited by alendronate than Atraid deficient osteoclasts despite the presence of WT osteoblasts in both cases (Fig. 3, G and H). In total, these findings support that Atraid is required for the cell-autonomous effects of N-BPs on osteoclasts.

Genetic factors involved in responses to nitrogen-containing bisphosphonates in patients

We sought an unbiased approach to determine what genes might be relevant in patients treated with N-BPs. We performed whole exome sequencing (WES) on two sets of patients taking N-BPs who experienced side effects: patients with osteoporosis who experienced atypical femoral fractures (AFF) (n = 27 patients), as well as patients with multiple myeloma or breast cancer patients who experienced osteonecrosis of the jaw (ONJ) (n = 8 patients) and 11 control patients taking N-BPs that didn’t experience AFF or ONJ (Fig. 4A and data file S3 for patient information). We also analyzed two published gene expression datasets involving patients who had taken N-BPs: patients with multiple myeloma who did or did not suffer ONJ when taking N-BPs (36), and patients with breast cancer with bone marrow disseminated tumor cells (DTC) which reoccurred or the patient died less than 1000 days vs. greater than 2500 days following initiation of zoledronate treatment (37) (Fig. 4A and data file S3). We then compared the patient data to three cell-based, genome-wide CRISPRi and CRISPRa screens we previously performed: alendronate and zoledronate CRISPRi and alendronate CRISPRa (12, 38) (data file S3). To identify genes involved in N-BP response across experimental paradigms we generated a Venn diagram to visualize the overlap of “hits”. In comparing the WES hits –genes that had the same rare coding variants (minor allele frequency < 0.05) in both patients with AFF and ONJ but not in controls – with our hits from our alendronate and zoledronate CRISPRi/a screens, we identified 64 genes in common including ATRAID, FDPS, and SLC37A3 (Fig. 4A). When comparing the WES hits with the gene expression hits, we identified 49 genes, whereas the CRISPRi/a and gene expression studies had 76 genes in common (Fig. 4A). Three genes, ATRAID, ATR, and ZBTB4 were statistically significant in all three data types (Fig. 4A) (data file S3, FDR corrected P < 0.05). Focusing on ATRAID specifically, we observed a ~50% decrease in ATRAID expression in the patients with DTC and ONJ that had their gene expression measured. By exome sequencing the patients with AFF and ONJ, in ATRAID we detected two rare variants – hereafter referred to as the ‘D5G/G32R variant’ – that were present together in 3 out of 35 patients with AFF and ONJ (2 out of 27 AFF; 1 out of 8 ONJ) (Fig. 4B).

Fig. 4. ATRAID as a potential genetic factor for altered responses to nitrogen-containing bisphosphonates in patients.

Fig. 4.

(A) Genome-wide studies of N-BP responsiveness in patients vs. cells. The outcomes considered from human studies involving N-BPs are: osteonecrosis of the jaw (ONJ), breast cancer bone marrow micrometastases [disseminated tumor cells (DTC)], and atypical femoral fractures (AFF). ATRAID, ATR, ZBTB4 are statistically significant hits (FDR corrected P < 0.05) in N-BP cell-based CRISPRi/a screening, differentially expressed in both gene expression datasets (ONJ and DTC), and possess rare multiple non-synonymous coding variants in AFF and ONJ cases but not controls. These three genes are visualized as the Venn diagram of overlap of lists of genes that met the following criteria: significant alendronate CRISPRi, zoledronate CRISPRi, or alendronate CRISPRa hits with absolute value of rho growth phenotype values ≥ 0.30 and P ≤ 0.05 (1335 out of 15828 genes) (12, 38); differentially expressed N-BP in ONJ + DTC (774 out of 18415 for ONJ (36) and 20492 for DTC (37); multiple coding variant(s) in AFF and ONJ cases and not controls (1252 out of 11659 genes) (data as part of this study). (B) Patient genetic data for ATRAID. Raw expression values were normalized to 1 to fit on a comparable Y axis. *P < 0.05, moderated t-test. N.S. indicates not significant. “X”-enriched refers to the fold-enrichment of the allele compared with a population with a similar genetic background as the cases. For example, for ATRAID, the D5G variant is present in 2 out of 27 AFF patients. Though this allele wasn’t detected in the 11 control samples, it is present in a population of European Americans (EA) and Asian Americans (AA) that is representative of the study population at a prevalence of 0.0131. Therefore, the D5G allele is (2/27) / 0.0131 = 5.66X enriched in cases compared to the EA/AA population. “v3” and “v2” refer to isoforms of the ATRAID gene. A simple binomial test was used to calculate the significance of each variant. * P < 0.05. (C) Quantitative PCR to examine ATRAID mRNA expression in wild-type, ATRAID-deficient, and low ATRAID expressing cells. Error bars represent the standard deviation of technical triplicate reactions. Expression was normalized to WT cells using RPLP0 and TBP as controls. * indicates P<0.05, student’s t-test. (D) Cell viability in wild-type, ATRAID-deficient, and low ATRAID expressing cells. Cells were treated with the indicated doses of alendronate and analyzed for cell viability. Cell viability was determined by measuring cellular ATP and is expressed as a ratio of that compared with untreated cells. Error bars indicate the standard deviation for n=4 (biological replicates). N.S., not significant; * and # indicate P<0.05 for the indicated cell lines, student’s t-test. (E) Immunoblot (IB) of wild-type and D5G/G32R variant ATRAID-V5 tagged proteins. Mutant or wild-type ATRAID v2 and v3 were stably introduced into ATRAID-deficient HEK-293T cells. (F) Cell viability in wild-type vs. D5G/G32R variant cells. Cells were treated with the indicated doses of alendronate and analyzed for cell viability. Cell viability was determined by measuring cellular ATP and is expressed as a ratio of that compared with untreated cells. Error bars indicate the standard deviation for n=4 (biological replicates). N.S., not significant; *P < 0.05, student’s t-test.

We sought to determine the functional relevance of decreased ATRAID mRNA expression and the ATRAID D5G/G32R variant, both of which are associated with bad outcomes of N-BP treatment (Fig. 4, A and B). To test the former, we expressed ATRAID mRNA at sub-endogenous quantities in ATRAID deficient cells such that the expression was similar to the reduced expression seen in patients that experienced ONJ or DTC (~50% compared to wild-type controls) (Fig. 4C). We refer to these ATRAID partially restored cells as ‘ATRAIDlow expr.’. ATRAID-deficient cells conferred resistance to alendronate as expected, whereas ATRAIDlow expr. cells were hypersensitized to alendronate (Fig. 4D). Similarly, the ATRAID D5G/G32R variant, which we identified in both the patients with AFF and ONJ, conferred hypersensitivity to alendronate compared with wild-type ATRAID (Fig. 4, E and F). Taken together, this suggests that bad patient outcomes might reflect cellular hyper-response to N-BPs. In total, these findings support the importance of ATRAID in bisphosphonate responsiveness in humans.

DISCUSSION

This work focused on the physiological impact of ATRAID as a positive regulator genetically upstream of FDPS. Here we use prenylation as an output of FDPS function. Recently, we linked FDPS to DNA synthesis and damage (39). This was intriguing in light of earlier studies in the context of ONJ where N-BPs regulated p63 – a well-known mediator of DNA damage (40) – in a mevalonate pathway-dependent manner (41). Considering that each of the three top genes from the patient analysis, ATRAID, ATR, and ZBTB4, are involved in p53 responses – a better known p63-related mediator of DNA damage (4245) – it will be interesting to determine whether these genes mediate their effects on p53/p63 signaling via FDPS.

The molecular effects of N-BPs on FDPS require the transporter, SLC37A3 (12). Interestingly, the SLC37A family member (46), SLC37A2, is mutated in dogs and gives rise to a bone overgrowth phenotype that resembles the human disease Caffey syndrome (47, 48). This phenotype is particularly interesting because it suggests that natural ligands or drugs that inhibit the SLC37A family might phenocopy N-BP treatment in increasing bone density.

ATRAID binds NELL-1, a secreted protein that promotes bone mineralization in mice and potentiates osteoblast differentiation in an ATRAID-dependent manner (49, 50). It is also notable that NELL-1 is in pre-clinical testing for the treatment of osteoporosis (51). In future studies, it will be interesting to determine whether NELL-1 affects the responses to N-BPs we observe upon manipulating ATRAID. NELL-1 has a related family member, NELL-2. This family member has been the subject of high profile studies in the field of axon guidance (52). It is unknown whether ATRAID signals to NELL-2 and if so what role it may play in the brain.

There are several limitations of our study. 1) Because we used a global knockout strategy with Atraid, we can’t definitively conclude it is required in vivo in osteoclasts – the target cell type for the N-BPs; 2) We identified ATRAID in screening in leukemia cells, not in osteoclasts. Therefore, there it is possible a screen in a cell type more relevant to the N-BPs would yield additional genes important to bone; 3) There are relatively modest numbers of DNA samples in existence from ONJ and AFF patients. More samples need to be collected and analyzed to further test our findings as identifying those patients who might experience these consequences when taking N-BPs is of paramount importance.

MATERIALS AND METHODS

Study design.

The objective of this study was to identify and subsequently characterize factors involved in the on- and off-target effects of the osteoporosis drugs, nitrogen-containing bisphosphonates (N-BPs). To address this, we performed a genome-wide haploid cell screen and identified the gene ATRAID. To assess the cellular role of ATRAID in the response to N-BPs, we treated a variety of cell lines including human 293T and KBM7 cells, murine macrophage RAW 264.7 cells differentiated into osteoclasts and primary cells derived from mice, with the N-BPs (including alendronate and zoledronate) or other drugs and assessed cell viability/growth/fitness by measuring cellular ATP, as well as protein prenylation by immunoblot. These analyses established that ATRAID is required for the cellular responses to N-BPs. We investigated the in vivo role of ATRAID by utilizing two mouse models of osteoporosis (ovariectomies on 3.5-month old female mice as a model of post-menopausal osteoporosis (OVX), and 18-month old male mice as a model for senile osteoporosis) treated with alendronate. The effects on wildtype and AtraidKO mice were assessed by profiling bone structure using micro-computed tomography (μCT) (OVX, senile: n = 6–11, n = 5–8), strength using a three-point bending assay (OVX: n = 6–11), histomorphometry using TRAP staining and double-labeling (OVX, senile: n = 5–7, n = 4–7), and serum bone proteins using ELISA (OVX, n = 8–13). These analyses established that ATRAID is required for the organismal responses to N-BPs. To translate our findings to humans, we integrated clinical and unbiased genome-scale molecular data in patients treated with N-BPs, including patients that experienced atypical femoral fractures or osteonecrosis of the jaw while being treated with N-BPs. These analyses established that ATRAID is potentially important for N-BP responses in humans. For our animal studies, mice were randomized to treatment groups, and subsequent analyses were blinded to the extent possible. All experiments involving mice were performed with protocols approved by the Harvard and Washington University Animal Studies Committees. The details of study design, sample sizes, experimental replicates, and statistics are provided in the corresponding figures, figure legends, data files, and Material and Methods.

Statistical analysis.

Unless otherwise specified, group means were compared by one-tailed student’s t test for unpaired samples. Data on repeated measures were analyzed by ANOVA, followed by a post-hoc multiple Holm–Sidak method t-test. All data are expressed as the mean ± s.d with numbers of samples indicated in figure legends. P values are indicated in each figure legend, and values less than 0.05 were considered significant (alpha) with ≥ 80% power, unless indicated otherwise. We estimated the cohort sizes we would need for this study based on our prior study which involved a similar experimental paradigm in using bisphosphonates and the ovariectomy (OVX) osteoporosis model in BL/6 mice (32). All code used to generate statistics and correlations for this project can be found at https://github.com/tim-peterson/ATRAID (DOI: 10.5281/zenodo.3739576).

Supplementary Material

Data File S3

Data file S3. Gene expression, sequencing, and growth phenotype data for ONJ, DTC, AFF and CRISPRi and CRISPRa studies.

Data File S2

Data file S2. Statistics for bone histomorphometry and serum bone proteins in ovariectomized and senile wildtype and AtraidKO animals treated with alendronate.

Data File S1

Data file S1. Statistics for AtraidKO mice basal characterization, and statistics for bone structure, strength of ovariectomized wildtype and AtraidKO animals treated with alendronate.

Table S1

Table S1. Results of haploid genomic screen for genes required for the response to alendronate.

ATRAID_Supp_text_and_figures

Fig. S1. ATRAID is required for the cellular responses to nitrogen-containing bisphosphonates.

Fig. S2. Generation and skeletal characterization of AtraidKO mice.

Fig. S3. Atraid is required cell-autonomously for the effects of N-BP on osteoclasts in two models of osteoporosis.

ACKNOWLEDGMENTS

We thank members of the Peterson and E. O’Shea laboratories for helpful discussions, especially C. Chow and K. Li (Peterson), and A. R. Subramaniam, C. Chidley, and A. Puszynska for illustrations (O’Shea). We thank M. Bouxsein and D. Brooks (Beth Israel Deaconess Medical Center), and D. Lieb, Y. Kim, and M. Silva (Washington University School of Medicine) for bone structure and function analysis. We thank K. Nagano and R. Baron (Harvard School of Dental Medicine), Y. Iwamoto (Massachusetts General Hospital) and D. Novack, G. London, K. Hyrc, and C. Idleburg for histology, histomorphometry, and imaging (Washington University School of Medicine). We thank L. Gilbert (University of California San Francisco) for assistance on the CRISPRi/a screening protocol.

Funding: This work was supported by grants from the NIH (CA103866 and AI047389 to D.M.S., HD070394 to B.H.L.) and Department of Defense (W81XWH-07-0448 to D.M.S.); awards from the W.M. Keck Foundation and the LAM (lymphangioleiomyomatosis) Foundation to D.M.S.; Rolanette and Berdon Lawrence Bone Disease Program of Texas and BCM Center for Skeletal Medicine and Biology and NIDDK training grant 5T32DK060445-10 to A.R.; Shriners Hospitals for Children and Merck Sharp & Dohme to S.M.; Fellowship from the Jane Coffin Childs Foundation, and NIH/NIA K99/R00 AG047255, NIH/NIAMS R01 AR073017, and NIH/NIAMS P30 AR057235 to T.R.P; NIH/NIAMS K99 AR073903 to L.E.S. D.M.S. is an investigator of the Howard Hughes Medical Institute. NCI 2RO1CA129933 to D.A.H., who is also investigator of the Howard Hughes Medical Institute and a F30 NIH training grant to C.L.C.

Footnotes

Competing Interests: ATRAID, SNTG1, EPHB1, and PLCL1, the genes identified here, are part of a Whitehead–Harvard patent on which T.R.P., T.R.B., and D.M.S. are inventors (US8748097B1). No authors received consulting fees related to this work.

Data and materials availability:

All data associated with this study are present in the paper, the Supplementary Materials, or will be available at NCBI BioProject ID: PRJNA624650. Shared reagents are subject to a materials transfer agreement.

REFERENCES

  • 1.Favus MJ, Bisphosphonates for osteoporosis. N Engl J Med 363, 2027–2035 (2010). [DOI] [PubMed] [Google Scholar]
  • 2.Rosen CJ, Clinical practice. Postmenopausal osteoporosis. N Engl J Med 353, 595–603 (2005). [DOI] [PubMed] [Google Scholar]
  • 3.Coleman R, The use of bisphosphonates in cancer treatment. Ann N Y Acad Sci 1218, 3–14 (2011). [DOI] [PubMed] [Google Scholar]
  • 4.Watts NB, Diab DL, Long-term use of bisphosphonates in osteoporosis. J Clin Endocrinol Metab 95, 1555–1565 (2010). [DOI] [PubMed] [Google Scholar]
  • 5.Bi Y, Gao Y, Ehirchiou D, Cao C, Kikuiri T, Le A, Shi S, Zhang L, Bisphosphonates cause osteonecrosis of the jaw-like disease in mice. Am J Pathol 177, 280–290 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Khosla S, Cauley JA, Compston J, Kiel DP, Rosen C, Saag KG, Shane E, Addressing the Crisis in the Treatment of Osteoporosis: A Path Forward. J Bone Miner Res, (2016). [DOI] [PubMed] [Google Scholar]
  • 7.Jha S, Wang Z, Laucis N, Bhattacharyya T, Trends in Media Reports, Oral Bisphosphonate Prescriptions, and Hip Fractures 1996–2012: An Ecological Analysis. J Bone Miner Res 30, 2179–2187 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Reszka AA, Rodan GA, Nitrogen-containing bisphosphonate mechanism of action. Mini Rev Med Chem 4, 711–719 (2004). [PubMed] [Google Scholar]
  • 9.Breuil V, Cosman F, Stein L, Horbert W, Nieves J, Shen V, Lindsay R, Dempster DW, Human osteoclast formation and activity in vitro: effects of alendronate. J Bone Miner Res 13, 1721–1729 (1998). [DOI] [PubMed] [Google Scholar]
  • 10.Zimolo Z, Wesolowski G, Rodan GA, Acid extrusion is induced by osteoclast attachment to bone. Inhibition by alendronate and calcitonin. J Clin Invest 96, 2277–2283 (1995). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Hughes DE, Wright KR, Uy HL, Sasaki A, Yoneda T, Roodman GD, Mundy GR, Boyce BF, Bisphosphonates promote apoptosis in murine osteoclasts in vitro and in vivo. J Bone Miner Res 10, 1478–1487 (1995). [DOI] [PubMed] [Google Scholar]
  • 12.Yu Z, Surface LE, Park CY, Horlbeck MA, Wyant GA, Abu-Remaileh M, Peterson TR, Sabatini DM, Weissman JS, O’Shea EK, Identification of a transporter complex responsible for the cytosolic entry of nitrogen-containing-bisphosphonates. Elife 7, (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Carette JE, Guimaraes CP, Varadarajan M, Park AS, Wuethrich I, Godarova A, Kotecki M, Cochran BH, Spooner E, Ploegh HL, Brummelkamp TR, Haploid genetic screens in human cells identify host factors used by pathogens. Science 326, 1231–1235 (2009). [DOI] [PubMed] [Google Scholar]
  • 14.Roelofs AJ, Thompson K, Ebetino FH, Rogers MJ, Coxon FP, Bisphosphonates: molecular mechanisms of action and effects on bone cells, monocytes and macrophages. Curr Pharm Des 16, 2950–2960 (2010). [DOI] [PubMed] [Google Scholar]
  • 15.Zhu F, Yan W, Zhao ZL, Chai YB, Lu F, Wang Q, Peng WD, Yang AG, Wang CJ, Improved PCR-based subtractive hybridization strategy for cloning differentially expressed genes. Biotechniques 29, 310–313 (2000). [DOI] [PubMed] [Google Scholar]
  • 16.Bashiardes S, Veile R, Allen M, Wise CA, Dobbs M, Morcuende JA, Szappanos L, Herring JA, Bowcock AM, Lovett M, SNTG1, the gene encoding gamma1-syntrophin: a candidate gene for idiopathic scoliosis. Hum Genet 115, 81–89 (2004). [DOI] [PubMed] [Google Scholar]
  • 17.Liu YZ, Wilson SG, Wang L, Liu XG, Guo YF, Li J, Yan H, Deloukas P, Soranzo N, Chinappen-Horsley U, Cervino A, Williams FM, Xiong DH, Zhang YP, Jin TB, Levy S, Papasian CJ, Drees BM, Hamilton JJ, Recker RR, Spector TD, Deng HW, Identification of PLCL1 gene for hip bone size variation in females in a genome-wide association study. PLoS One 3, e3160 (2008). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Shimizu E, Tamasi J, Partridge NC, Alendronate affects osteoblast functions by crosstalk through EphrinB1-EphB. J Dent Res 91, 268–274 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Yang G, Yu F, Fu H, Lu F, Huang B, Bai L, Zhao Z, Yao L, Lu Z, Identification of the distinct promoters for the two transcripts of apoptosis related protein 3 and their transcriptional regulation by NFAT and NFkappaB. Mol Cell Biochem 302, 187–194 (2007). [DOI] [PubMed] [Google Scholar]
  • 20. http://www.sbg.bio.ic.ac.uk/phyre2/html/page.cgi?id=index.
  • 21.Russell RG, Bisphosphonates: the first 40 years. Bone 49, 2–19 (2011). [DOI] [PubMed] [Google Scholar]
  • 22.Thompson K, Rogers MJ, Coxon FP, Crockett JC, Cytosolic entry of bisphosphonate drugs requires acidification of vesicles after fluid-phase endocytosis. Mol Pharmacol 69, 1624–1632 (2006). [DOI] [PubMed] [Google Scholar]
  • 23.Skarnes WC, Rosen B, West AP, Koutsourakis M, Bushell W, Iyer V, Mujica AO, Thomas M, Harrow J, Cox T, Jackson D, Severin J, Biggs P, Fu J, Nefedov M, de Jong PJ, Stewart AF, Bradley A, A conditional knockout resource for the genome-wide study of mouse gene function. Nature 474, 337–342 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.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 25, 1468–1486 (2010). [DOI] [PubMed] [Google Scholar]
  • 25. https://cpb-us-w2.wpmucdn.com/sites.wustl.edu/dist/f/1982/files/2019/05/Understanding-3pt-Bending-outcomes.pdf.
  • 26.Rosenquist C, Fledelius C, Christgau S, Pedersen BJ, Bonde M, Qvist P, Christiansen C, Serum CrossLaps One Step ELISA. First application of monoclonal antibodies for measurement in serum of bone-related degradation products from C-terminal telopeptides of type I collagen. Clin Chem 44, 2281–2289 (1998). [PubMed] [Google Scholar]
  • 27.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 28, 2–17 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Ballanti P, Minisola S, Pacitti MT, Scarnecchia L, Rosso R, Mazzuoli GF, Bonucci E, Tartrate-resistant acid phosphate activity as osteoclastic marker: sensitivity of cytochemical assessment and serum assay in comparison with standardized osteoclast histomorphometry. Osteoporos Int 7, 39–43 (1997). [DOI] [PubMed] [Google Scholar]
  • 29.Zou X, Shen J, Chen F, Ting K, Zheng Z, Pang S, Zara JN, Adams JS, Soo C, Zhang X, NELL-1 binds to APR3 affecting human osteoblast proliferation and differentiation. FEBS Lett 585, 2410–2418 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Ferron M, Wei J, Yoshizawa T, Del Fattore A, DePinho RA, Teti A, Ducy P, Karsenty G, Insulin signaling in osteoblasts integrates bone remodeling and energy metabolism. Cell 142, 296–308 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Fleisch HA, Bisphosphonates: preclinical aspects and use in osteoporosis. Ann Med 29, 55–62 (1997). [DOI] [PubMed] [Google Scholar]
  • 32.Watkins MP, Norris JY, Grimston SK, Zhang X, Phipps RJ, Ebetino FH, Civitelli R, Bisphosphonates improve trabecular bone mass and normalize cortical thickness in ovariectomized, osteoblast connexin43 deficient mice. Bone 51, 787–794 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Watanabe K, Hishiya A, Mouse models of senile osteoporosis. Mol Aspects Med 26, 221–231 (2005). [DOI] [PubMed] [Google Scholar]
  • 34.Tevlin R, McArdle A, Chan CK, Pluvinage J, Walmsley GG, Wearda T, Marecic O, Hu MS, Paik KJ, Senarath-Yapa K, Atashroo DA, Zielins ER, Wan DC, Weissman IL, Longaker MT, Osteoclast derivation from mouse bone marrow. J Vis Exp, e52056 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Collin-Osdoby P, Osdoby P, RANKL-mediated osteoclast formation from murine RAW 264.7 cells. Methods Mol Biol 816, 187–202 (2012). [DOI] [PubMed] [Google Scholar]
  • 36.Raje N, Woo SB, Hande K, Yap JT, Richardson PG, Vallet S, Treister N, Hideshima T, Sheehy N, Chhetri S, Connell B, Xie W, Tai YT, Szot-Barnes A, Tian M, Schlossman RL, Weller E, Munshi NC, Van Den Abbeele AD, Anderson KC, Clinical, radiographic, and biochemical characterization of multiple myeloma patients with osteonecrosis of the jaw. Clin Cancer Res 14, 2387–2395 (2008). [DOI] [PubMed] [Google Scholar]
  • 37.Xiang J, Hurchla MA, Fontana F, Su X, Amend SR, Esser AK, Douglas GJ, Mudalagiriyappa C, Luker KE, Pluard T, Ademuyiwa FO, Romagnoli B, Tuffin G, Chevalier E, Luker GD, Bauer M, Zimmermann J, Aft RL, Dembowsky K, Weilbaecher KN, CXCR4 Protein Epitope Mimetic Antagonist POL5551 Disrupts Metastasis and Enhances Chemotherapy Effect in Triple-Negative Breast Cancer. Mol Cancer Ther 14, 2473–2485 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Jiwoong Park JL, Kumar Sandeep, Burrow Damon T., Bean Nicholas L., Chow Chris, Jacobs Nicholas C., Song Niki, Diemar Sarah S., Gilbert Luke A., Peterson Timothy R., Using cell fitness to reduce human biases in human gene characterization. in preparation, (2019). [Google Scholar]
  • 39.Horlbeck MA, Xu A, Wang M, Bennett NK, Park CY, Bogdanoff D, Adamson B, Chow ED, Kampmann M, Peterson TR, Nakamura K, Fischbach MA, Weissman JS, Gilbert LA, Mapping the Genetic Landscape of Human Cells. Cell 174, 953–967 e922 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Bergholz J, Xiao ZX, Role of p63 in Development, Tumorigenesis and Cancer Progression. Cancer Microenviron 5, 311–322 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Scheller EL, Baldwin CM, Kuo S, D’Silva NJ, Feinberg SE, Krebsbach PH, Edwards PC, Bisphosphonates inhibit expression of p63 by oral keratinocytes. J Dent Res 90, 894–899 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Han S, Lu Q, Wang N, Apr3 accelerates the senescence of human retinal pigment epithelial cells. Mol Med Rep 13, 3121–3126 (2016). [DOI] [PubMed] [Google Scholar]
  • 43.Lecona E, Fernandez-Capetillo O, Targeting ATR in cancer. Nat Rev Cancer, (2018). [DOI] [PubMed] [Google Scholar]
  • 44.Yamada D, Perez-Torrado R, Filion G, Caly M, Jammart B, Devignot V, Sasai N, Ravassard P, Mallet J, Sastre-Garau X, Schmitz ML, Defossez PA, The human protein kinase HIPK2 phosphorylates and downregulates the methyl-binding transcription factor ZBTB4. Oncogene 28, 2535–2544 (2009). [DOI] [PubMed] [Google Scholar]
  • 45.Weber A, Marquardt J, Elzi D, Forster N, Starke S, Glaum A, Yamada D, Defossez PA, Delrow J, Eisenman RN, Christiansen H, Eilers M, Zbtb4 represses transcription of P21CIP1 and controls the cellular response to p53 activation. EMBO J 27, 1563–1574 (2008). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Chou JY, Mansfield BC, The SLC37 family of sugar-phosphate/phosphate exchangers. Curr Top Membr 73, 357–382 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Hytonen MK, Arumilli M, Lappalainen AK, Owczarek-Lipska M, Jagannathan V, Hundi S, Salmela E, Venta P, Sarkiala E, Jokinen T, Gorgas D, Kere J, Nieminen P, Drogemuller C, Lohi H, Molecular Characterization of Three Canine Models of Human Rare Bone Diseases: Caffey, van den Ende-Gupta, and Raine Syndromes. PLoS Genet 12, e1006037 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Guerin A, Dupuis L, Mendoza-Londono R, in GeneReviews((R)), Adam MP, Ardinger HH, Pagon RA, Wallace SE, Bean LJH, Stephens K, Amemiya A, Eds. (Seattle (WA), 1993). [Google Scholar]
  • 49.Zou X, Shen J, Chen F, Ting K, Zheng Z, Pang S, Zara JN, Adams JS, Soo C, Zhang X, NELL-1 binds to APR3 affecting human osteoblast proliferation and differentiation. FEBS Lett 585, 2410–2418 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Desai J, Shannon ME, Johnson MD, Ruff DW, Hughes LA, Kerley MK, Carpenter DA, Johnson DK, Rinchik EM, Culiat CT, Nell1-deficient mice have reduced expression of extracellular matrix proteins causing cranial and vertebral defects. Hum Mol Genet 15, 1329–1341 (2006). [DOI] [PubMed] [Google Scholar]
  • 51.James AW, Shen J, Zhang X, Asatrian G, Goyal R, Kwak JH, Jiang L, Bengs B, Culiat CT, Turner AS, Seim Iii HB, Wu BM, Lyons K, Adams JS, Ting K, Soo C, NELL-1 in the treatment of osteoporotic bone loss. Nat Commun 6, 7362 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Jaworski A, Tom I, Tong RK, Gildea HK, Koch AW, Gonzalez LC, Tessier-Lavigne M, Operational redundancy in axon guidance through the multifunctional receptor Robo3 and its ligand NELL2. Science 350, 961–965 (2015). [DOI] [PubMed] [Google Scholar]
  • 53.Carette JE, Guimaraes CP, Wuethrich I, Blomen VA, Varadarajan M, Sun C, Bell G, Yuan B, Muellner MK, Nijman SM, Ploegh HL, Brummelkamp TR, Global gene disruption in human cells to assign genes to phenotypes by deep sequencing. Nat Biotechnol 29, 542–546 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Jost M, Chen Y, Gilbert LA, Horlbeck MA, Krenning L, Menchon G, Rai A, Cho MY, Stern JJ, Prota AE, Kampmann M, Akhmanova A, Steinmetz MO, Tanenbaum ME, Weissman JS, Combined CRISPRi/a-Based Chemical Genetic Screens Reveal that Rigosertib Is a Microtubule-Destabilizing Agent. Mol Cell 68, 210–223 e216 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55. http://weissmanlab.ucsf.edu/CRISPR/CRISPR.html.
  • 56.Peterson TR, Sengupta SS, Harris TE, Carmack AE, Kang SA, Balderas E, Guertin DA, Madden KL, Carpenter AE, Finck BN, Sabatini DM, mTOR complex 1 regulates lipin 1 localization to control the SREBP pathway. Cell 146, 408–420 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Peterson TR, Laplante M, Thoreen CC, Sancak Y, Kang SA, Kuehl WM, Gray NS, Sabatini DM, DEPTOR is an mTOR inhibitor frequently overexpressed in multiple myeloma cells and required for their survival. Cell 137, 873–886 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Ran FA, Hsu PD, Wright J, Agarwala V, Scott DA, Zhang F, Genome engineering using the CRISPR-Cas9 system. Nat Protoc 8, 2281–2308 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Coxon FP, Helfrich MH, Van’t Hof R, Sebti S, Ralston SH, Hamilton A, Rogers MJ, Protein geranylgeranylation is required for osteoclast formation, function, and survival: inhibition by bisphosphonates and GGTI-298. J Bone Miner Res 15, 1467–1476 (2000). [DOI] [PubMed] [Google Scholar]
  • 60.Frith JC, Monkkonen J, Auriola S, Monkkonen H, Rogers MJ, The molecular mechanism of action of the antiresorptive and antiinflammatory drug clodronate: evidence for the formation in vivo of a metabolite that inhibits bone resorption and causes osteoclast and macrophage apoptosis. Arthritis and rheumatism 44, 2201–2210 (2001). [DOI] [PubMed] [Google Scholar]
  • 61.Tsubaki M, Komai M, Itoh T, Imano M, Sakamoto K, Shimaoka H, Takeda T, Ogawa N, Mashimo K, Fujiwara D, Mukai J, Sakaguchi K, Satou T, Nishida S, Nitrogen-containing bisphosphonates inhibit RANKL- and M-CSF-induced osteoclast formation through the inhibition of ERK1/2 and Akt activation. J Biomed Sci 21, 10 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Kuhn R, Torres RM, Cre/loxP recombination system and gene targeting. Methods Mol Biol 180, 175–204 (2002). [DOI] [PubMed] [Google Scholar]
  • 63. https://simple.wikipedia.org/wiki/Central_dogma_of_molecular_biology.
  • 64.Schwenk F, Baron U, Rajewsky K, A cre-transgenic mouse strain for the ubiquitous deletion of loxP-flanked gene segments including deletion in germ cells. Nucleic Acids Res 23, 5080–5081 (1995). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Lai CF, Cheng SL, Mbalaviele G, Donsante C, Watkins M, Radice GL, Civitelli R, Accentuated ovariectomy-induced bone loss and altered osteogenesis in heterozygous N-cadherin null mice. J Bone Miner Res 21, 1897–1906 (2006). [DOI] [PubMed] [Google Scholar]
  • 66.Fuchs RK, Phipps RJ, Burr DB, Recovery of trabecular and cortical bone turnover after discontinuation of risedronate and alendronate therapy in ovariectomized rats. J Bone Miner Res 23, 1689–1697 (2008). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Allen MR, Iwata K, Phipps R, Burr DB, Alterations in canine vertebral bone turnover, microdamage accumulation, and biomechanical properties following 1-year treatment with clinical treatment doses of risedronate or alendronate. Bone 39, 872–879 (2006). [DOI] [PubMed] [Google Scholar]
  • 68.Bouxsein ML, Myers KS, Shultz KL, Donahue LR, Rosen CJ, Beamer WG, Ovariectomy-induced bone loss varies among inbred strains of mice. J Bone Miner Res 20, 1085–1092 (2005). [DOI] [PubMed] [Google Scholar]
  • 69.Willinghamm MD, Brodt MD, Lee KL, Stephens AL, Ye J, Silva MJ, Age-related changes in bone structure and strength in female and male BALB/c mice. Calcif Tissue Int 86, 470–483 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.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 26, 2151–2160 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Guise TA, Antitumor effects of bisphosphonates: promising preclinical evidence. Cancer Treat Rev 34 Suppl 1, S19–24 (2008). [DOI] [PubMed] [Google Scholar]
  • 72.Aft R, Naughton M, Trinkaus K, Watson M, Ylagan L, Chavez-MacGregor M, Zhai J, Kuo S, Shannon W, Diemer K, Herrmann V, Dietz J, Ali A, Ellis M, Weiss P, Eberlein T, Ma C, Fracasso PM, Zoberi I, Taylor M, Gillanders W, Pluard T, Mortimer J, Weilbaecher K, Effect of zoledronic acid on disseminated tumour cells in women with locally advanced breast cancer: an open label, randomised, phase 2 trial. Lancet Oncol 11, 421–428 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Bolstad BM, Irizarry RA, Astrand M, Speed TP, A comparison of normalization methods for high density oligonucleotide array data based on variance and bias. Bioinformatics 19, 185–193 (2003). [DOI] [PubMed] [Google Scholar]
  • 74.Gentleman R CV, Huber W and Hahne F (2017).
  • 75.Smyth GK, Linear models and empirical bayes methods for assessing differential expression in microarray experiments. Stat Appl Genet Mol Biol 3, Article3 (2004). [DOI] [PubMed] [Google Scholar]
  • 76.Carlson M. (2016).
  • 77.Buchan JG, Alvarado DM, Haller GE, Cruchaga C, Harms MB, Zhang T, Willing MC, Grange DK, Braverman AC, Miller NH, Morcuende JA, Tang NL, Lam TP, Ng BK, Cheng JC, Dobbs MB, Gurnett CA, Rare variants in FBN1 and FBN2 are associated with severe adolescent idiopathic scoliosis. Hum Mol Genet 23, 5271–5282 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Cruchaga C, Karch CM, Jin SC, Benitez BA, Cai Y, Guerreiro R, Harari O, Norton J, Budde J, Bertelsen S, Jeng AT, Cooper B, Skorupa T, Carrell D, Levitch D, Hsu S, Choi J, Ryten M, Hardy J, Trabzuni D, Weale ME, Ramasamy A, Smith C, Sassi C, Bras J, Gibbs JR, Hernandez DG, Lupton MK, Powell J, Forabosco P, Ridge PG, Corcoran CD, Tschanz JT, Norton MC, Munger RG, Schmutz C, Leary M, Demirci FY, Bamne MN, Wang X, Lopez OL, Ganguli M, Medway C, Turton J, Lord J, Braae A, Barber I, Brown K, Passmore P, Craig D, Johnston J, McGuinness B, Todd S, Heun R, Kolsch H, Kehoe PG, Hooper NM, Vardy ER, Mann DM, Pickering-Brown S, Kalsheker N, Lowe J, Morgan K, David Smith A, Wilcock G, Warden D, Holmes C, Pastor P, Lorenzo-Betancor O, Brkanac Z, Scott E, Topol E, Rogaeva E, Singleton AB, Kamboh MI, St George-Hyslop P, Cairns N, Morris JC, Kauwe JS, Goate AM, Rare coding variants in the phospholipase D3 gene confer risk for Alzheimer’s disease. Nature 505, 550–554 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Krawitz P, Rodelsperger C, Jager M, Jostins L, Bauer S, Robinson PN, Microindel detection in short-read sequence data. Bioinformatics 26, 722–729 (2010). [DOI] [PubMed] [Google Scholar]
  • 80.McKenna A, Hanna M, Banks E, Sivachenko A, Cibulskis K, Kernytsky A, Garimella K, Altshuler D, Gabriel S, Daly M, DePristo MA, The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data. Genome Res 20, 1297–1303 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Van der Auwera GA, Carneiro MO, Hartl C, Poplin R, Del Angel G, Levy-Moonshine A, Jordan T, Shakir K, Roazen D, Thibault J, Banks E, Garimella KV, Altshuler D, Gabriel S, DePristo MA, From FastQ data to high confidence variant calls: the Genome Analysis Toolkit best practices pipeline. Curr Protoc Bioinformatics 43, 11 10 11–33 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.Lek M, Karczewski KJ, Minikel EV, Samocha KE, Banks E, Fennell T, O’Donnell-Luria AH, Ware JS, Hill AJ, Cummings BB, Tukiainen T, Birnbaum DP, Kosmicki JA, Duncan LE, Estrada K, Zhao F, Zou J, Pierce-Hoffman E, Berghout J, Cooper DN, Deflaux N, DePristo M, Do R, Flannick J, Fromer M, Gauthier L, Goldstein J, Gupta N, Howrigan D, Kiezun A, Kurki MI, Moonshine AL, Natarajan P, Orozco L, Peloso GM, Poplin R, Rivas MA, Ruano-Rubio V, Rose SA, Ruderfer DM, Shakir K, Stenson PD, Stevens C, Thomas BP, Tiao G, Tusie-Luna MT, Weisburd B, Won HH, Yu D, Altshuler DM, Ardissino D, Boehnke M, Danesh J, Donnelly S, Elosua R, Florez JC, Gabriel SB, Getz G, Glatt SJ, Hultman CM, Kathiresan S, Laakso M, McCarroll S, McCarthy MI, McGovern D, McPherson R, Neale BM, Palotie A, Purcell SM, Saleheen D, Scharf JM, Sklar P, Sullivan PF, Tuomilehto J, Tsuang MT, Watkins HC, Wilson JG, Daly MJ, MacArthur DG, C. Exome Aggregation, Analysis of protein-coding genetic variation in 60,706 humans. Nature 536, 285–291 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Data File S3

Data file S3. Gene expression, sequencing, and growth phenotype data for ONJ, DTC, AFF and CRISPRi and CRISPRa studies.

Data File S2

Data file S2. Statistics for bone histomorphometry and serum bone proteins in ovariectomized and senile wildtype and AtraidKO animals treated with alendronate.

Data File S1

Data file S1. Statistics for AtraidKO mice basal characterization, and statistics for bone structure, strength of ovariectomized wildtype and AtraidKO animals treated with alendronate.

Table S1

Table S1. Results of haploid genomic screen for genes required for the response to alendronate.

ATRAID_Supp_text_and_figures

Fig. S1. ATRAID is required for the cellular responses to nitrogen-containing bisphosphonates.

Fig. S2. Generation and skeletal characterization of AtraidKO mice.

Fig. S3. Atraid is required cell-autonomously for the effects of N-BP on osteoclasts in two models of osteoporosis.

Data Availability Statement

All data associated with this study are present in the paper, the Supplementary Materials, or will be available at NCBI BioProject ID: PRJNA624650. Shared reagents are subject to a materials transfer agreement.

RESOURCES