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. 2021 Oct 14;10:e71595. doi: 10.7554/eLife.71595

SLC1A5 provides glutamine and asparagine necessary for bone development in mice

Deepika Sharma 1, Yilin Yu 2, Leyao Shen 2, Guo-Fang Zhang 3,4, Courtney M Karner 1,2,5,
Editors: Ernestina Schipani6, Carlos Isales7
PMCID: PMC8553342  PMID: 34647520

Abstract

Osteoblast differentiation is sequentially characterized by high rates of proliferation followed by increased protein and matrix synthesis, processes that require substantial amino acid acquisition and production. How osteoblasts obtain or maintain intracellular amino acid production is poorly understood. Here, we identify SLC1A5 as a critical amino acid transporter during bone development. Using a genetic and metabolomic approach, we show SLC1A5 acts cell autonomously to regulate protein synthesis and osteoblast differentiation. SLC1A5 provides both glutamine and asparagine which are essential for osteoblast differentiation. Mechanistically, glutamine and to a lesser extent asparagine support amino acid biosynthesis. Thus, osteoblasts depend on Slc1a5 to provide glutamine and asparagine, which are subsequently used to produce non-essential amino acids and support osteoblast differentiation and bone development.

Research organism: Mouse

Introduction

Osteoblasts are secretory cells responsible for producing and secreting the Collagen Type one rich extracellular bone matrix. Osteoblasts differentiate from mesenchymal progenitors in a well-coordinated temporal sequence regulated by the transcription factors RUNX2 and OSX (encoded by Sp7) (Nakashima et al., 2002; Otto et al., 1997). Osteoblast progenitors are proliferative before undergoing terminal differentiation into postmitotic Collagen Type 1 (COL1A1) matrix producing osteoblasts (Quarles et al., 1992; Pardee et al., 1978; Tonna and Cronkite, 1961; Stein et al., 1990; Stein and Lian, 1993). Both proliferation and matrix production are biosynthetically demanding and burden osteoblasts with enhanced metabolic demands. For example, proliferation requires cells to increase nutrient and amino acid acquisition to generate the biomass necessary to duplicate cell mass for division. Likewise, matrix production places similar demands upon osteoblasts. Thus, bone formation is associated with increased synthetic demands due to osteoblast proliferation, differentiation, and bone matrix production (Guntur et al., 2014; Lee et al., 2017; Karner and Long, 2018; Riddle and Clemens, 2017).

These enhanced synthetic demands are predicted to require a constant supply of amino acids to sustain both proliferation and bone matrix production. Cells can obtain amino acids via uptake from the extracellular milieu or from de novo synthesis from glucose or other amino acids (Karner and Long, 2018; Flanagan and Nichols, 1964; Adamson and Ingbar, 1967; Finerman and Rosenberg, 1966; Yee, 1988; Palm and Thompson, 2017). In osteoblasts, amino acid consumption is known to be transcriptionally regulated (Elefteriou et al., 2006; Rached et al., 2010) and rapidly increases during differentiation and in response to osteoinductive signals (Karner et al., 2015; Shen et al., 2021; Yu et al., 2019; Hahn et al., 1969; Phang and Downing, 1973). Importantly, genetic mutations that limit amino acid uptake are associated with decreased proliferative capacity and reduced bone formation (Elefteriou et al., 2006; Rached et al., 2010; Hu et al., 2020). Despite this, little is known about how osteoblasts obtain the amino acids necessary to promote robust proliferation and bone matrix synthesis.

The regulation of amino acid supply is an important regulatory node that is frequently upregulated to support proliferation and biosynthesis in many pathological conditions (Garcia-Bermudez et al., 2018; Jones et al., 2019; Bhutia et al., 2015; Bröer et al., 2016). Amino acid uptake is controlled by a diverse array of membrane-bound transport proteins that transport amino acids into and out of the cell. Once inside the cell, amino acids have diverse fates. For example, amino acids may contribute directly to protein synthesis, facilitate signaling or be metabolized to generate ATP or other intermediate metabolites including other amino acids (DeBerardinis et al., 2007; Green et al., 2016; Wang et al., 2009; Karner and Long, 2017). How osteoblasts obtain or utilize amino acids is not well understood. We recently identified Alanine, Serine, Cysteine transporter 2 (ASCT2, denoted herein as SLC1A5, encoded by Slc1a5) as a potential regulator of amino acid supply in osteoblast progenitors (Shen et al., 2021; Hu et al., 2020). SLC1A5 is a Na+-dependent neutral amino acid exchanger that can transport glutamine, alanine, serine, asparagine, and threonine (Bröer et al., 1999; Scopelliti et al., 2018; Utsunomiya-Tate et al., 1996; Nakaya et al., 2014; Wu et al., 2021). In cancer cells, Slc1a5 upregulation is associated with metabolic reprograming and is necessary for increased proliferation and biosynthesis (Bröer et al., 2016; Liu et al., 2018; Ren et al., 2015; van Geldermalsen et al., 2016; Wang et al., 2014; Schulte et al., 2018; Hassanein et al., 2013). In comparison, little is known about the role of SLC1A5-dependent amino acid uptake during bone development.

Here, we define the role of amino acid uptake through Slc1a5 during bone development and homeostasis. Using a genetic and metabolic approach, we demonstrate Slc1a5 is required for osteoblast proliferation, differentiation and bone matrix production. Mechanistically, SLC1A5 provides glutamine and asparagine to maintain intracellular amino acid homeostasis in osteoblasts. Collectively, these data highlight the previously unknown role for Slc1a5 in osteoblasts regulating differentiation and bone development.

Results

Slc1a5 is required for bone development

We previously identified Slc1a5 as a potential regulator of proliferation and WNT induced osteoblast differentiation in stromal cells (Shen et al., 2021; Hu et al., 2020). To understand if Slc1a5 functions in osteoblasts, we first characterized Slc1a5 expression during osteoblast differentiation. Slc1a5 is highly expressed in both naive calvarial cells and bone marrow stromal cells and significantly increases during osteoblast differentiation (Figure 1A). To determine if Slc1a5 is required for osteoblast differentiation, we first utilized a CRISPR/Cas9 approach to knock out Slc1a5 in cultured calvarial cells (Figure 1—figure supplement 1A). Western blot analyses confirmed this approach effectively ablated SLC1A5 protein (Figure 1—figure supplement 1B). Slc1a5 targeting did not affect early osteoblast differentiation but did prevent the induction of the mature osteoblast genes Ibsp and Bglap and prevented matrix mineralization in primary calvarial cells (Figure 1B–C). To determine if Slc1a5-dependent amino acid uptake is important for osteoblast differentiation in vivo, we generated a conditional (floxed) Slc1a5 allele (Slc1a5fl) using homologous recombination (Figure 1—figure supplement 1C). These mice were crossed with the Sp7tTA;tetOeGFP/Cre deleter mouse (denoted hereafter as Sp7Cre) that expresses GFP and Cre recombinase under the control of the Sp7 promoter to generate mice lacking Slc1a5 in committed osteoblast progenitors (Rodda and McMahon, 2006). Western blot analysis confirmed the specific ablation of SLC1A5 in bones isolated from Sp7Cre;Slc1a5fl/fl mice (Figure 1—figure supplement 1D). Sp7Cre;Slc1a5fl/fl mice were characterized by delayed endochondral and intramembranous ossification evident at both embryonic (E) day E14.5 and E15.5 (Figure 1D–E–). In addition to delayed mineralization, Sp7Cre;Slc1a5fl/fl mice had reduced size of various skeletal elements (exemplified by the humerus, Figure 1F and J) relative to Sp7Cre;Slc1a5fl/+ littermate controls (Figure 1F–G and J–K and Figure 1—figure supplement 1E-L). By E16.5 the extent of mineralization was no longer significantly different although the overall length of individual skeletal elements was significantly different from Sp7Cre;Slc1a5fl/+ littermate controls (Figure 1L–O and Figure 1—figure supplement 1M-P). At birth, neither matrix mineralization or nor element length were significantly different suggesting there is a transient delay in endochondral ossification (Figure 1—figure supplement 1Q-X). Conversely, Sp7Cre;Slc1a5fl/fl mice are characterized by impaired intramembranous ossification at all stages evaluated (Figure 1D–E–, L–M and P–Q and Figure 1—figure supplement 1Q-R). At birth, Sp7Cre;Slc1a5fl/fl calvariae had increased porosity (1.0 ± 0.2 vs 2.3 ± 0.2 in Sp7Cre;Slc1a5fl/+ and Sp7Cre;Slc1a5fl/fl respectively, p < 0.05), increased suture width (1.0 ± 0.2 mm vs 1.4 ± 0.3 in Sp7Cre;Slc1a5fl/+ and Sp7Cre;Slc1a5fl/fl respectively, p < 0.05) and significantly less bone volume (0.7% ± 0.02% vs 0.6 ± 0.05% in Sp7Cre;Slc1a5fl/+ and Sp7Cre;Slc1a5fl/fl respectively, p < 0.05) as measured by micro-computed tomography (µCT) (Figure 1). At 2-months of age, Sp7Cre;Slc1a5fl/fl mice presented with less bone mass, increased suture width and altered suture morphology (Figure 1—figure supplement 2). Von Kossa staining of histological sections confirmed the reduction in mineralized bone matrix in newborn Sp7Cre;Slc1a5fl/fl calvariae (Figure 1T–U). Thus, Slc1a5 expression in osteoprogenitors is essential for bone development.

Figure 1. Slc1a5 is required for bone development in mice.

(A) qRT-PCR analyses of gene expression in calvarial osteoblasts (cOB) cultured for 7 days in growth or osteogenic media. (B–C) qRT-PCR analyses (B) or functional assays (C) of the effect of Slc1a5 deletion on osteoblast differentiation in cOB cultured for 7 days in osteogenic media. (D–O) Skeletal preparations of Sp7Cre;Slc1a5fl/+ and Sp7Cre;Slc1a5fl/fl mice at E14.5 (n = 5), E15.5 (N = 8) and E16.5 (N = 5). Arrows denote reduced mineralization. Isolated humeri shown in (F), (J) and (N). Blue dotted lines denotes the control overall humerus length. Red dotted lines denote control mineralized area. Images quantified in (G, K and O). (P–S) A representative skeletal preparation (P–Q) or (R–S) Representative Micro-computed tomography (μCT) (N = 6) used to quantify BV/TV(%) and (T–U) von Kossa staining on Sp7Cre;Slc1a5fl/+ and Sp7Cre;Slc1a5fl/fl (N = 4) knockout mice at P0. Error bars depict SD. * p ≤ 0.05, ** p ≤ 0.005, *** p ≤ 0.0005, **** p ≤ 0.00005, by an unpaired two-tailed Student’s t-test.

Figure 1—source data 1. Contains numerical source data for Figure 1.

Figure 1.

Figure 1—figure supplement 1. Slc1a5 ablation decreases bone development.

Figure 1—figure supplement 1.

(A) Slc1a5 Crispr targeting strategy(B) Western Blot analyses of the effect of Slc1a5 targeting ASCT2 normalized to α-tubulin. sgRNAs targeting luciferase and mCherry were used as a negative control. Fold change± SD for sgSlc1a5 over sgLuc in three independent experiments. * p ≤ 0.05 by an unpaired two-tailed Student’s t-test. (C) Slc1a5fl targeting strategy. (D) Western Blot analyses of SLC1A5 (ASCT2) expression in protein isolated from Muscle, Bone and Bone marrow from Sp7Cre;Slc1a5fl/+ and Sp7Cre;Slc1a5fl/fl mice. (E–X) Skeletal preparations of Sp7Cre;Slc1a5fl/+ and Sp7Cre;Slc1a5fl/fl hindlimbs at E14.5 (n = 5), E15.5 (N = 8), E16.5 (N = 5) and (p0). Images quantified in (G, H, K,L,O, P,U and X).
Figure 1—figure supplement 1—source data 1. Contains numerical and uncropped western blot source data for Figure 1—figure supplement 1.
Figure 1—figure supplement 2. Skull phenotype at 2 months of age in Sp7Cre;Slc1a5fl/fl mice.

Figure 1—figure supplement 2.

(A–B) Representative X-Ray, (C–D) µCT image of a whole calvarium from 2-month-old Sp7Cre;Slc1a5fl/+ or Sp7Cre;Slc1a5fl/fl littermates.
(E–F) H&E staining and cartoon depiction of section through the coronal suture (level of section indicated by the dotted red line in (C,D)) showing altered suture morphology.

Slc1a5 is required for osteoblast differentiation and proliferation

To determine how Slc1a5 regulates bone development, we first characterized the cellular effects of Slc1a5 ablation on osteoblasts. Because we observed a consistent skull phenotype at all stages and Sp7Cre is expressed in both osteoblasts and hypertrophic chondrocytes in the developing limb (Rodda and McMahon, 2006), we focused our analyses on the skull which is formed by intramembranous ossification and does not involve a cartilaginous intermediate (Ornitz and Marie, 2002). Von Kossa staining confirmed there was delayed mineralization in Sp7Cre;Slc1a5fl/fl calvariae at E15.5 (Figure 2A–D). This was not due to changes in the number of osteoblast progenitors as we observed no significant difference in the number of Sp7GFP expressing osteoblast progenitors per bone area in Sp7Cre;Slc1a5fl/fl mice compared to Sp7Cre;Slc1a5fl/+ wild type littermates (75.3% ± 11.6% vs 64.7±9.5 % in Sp7Cre;Slc1a5fl/+ and Sp7Cre;Slc1a5fl/f animals, respectively) (Figure 2E–F). However, we did observe a significant reduction in the proportion of Sp7GFP cells that were positive for proliferating cell nuclear antigen (PCNA) (25.9% ± 4.6% vs 15.6±2.9 % in Sp7Cre;Slc1a5fl/+ or Sp7Cre;Slc1a5fl/fl respectively, p < 0.05) (Figure 2G–J) suggesting Slc1a5 is required for proliferation of Sp7 expressing osteoblast progenitors. We next evaluated osteoblast differentiation using in situ hybridization. We did not observe significant differences in the expression of early osteoblast genes including alkaline phosphatase (Alpl, as determined by in situ staining) or Col1a1 (Figure 2K–N). Conversely, Sp7Cre;Slc1a5fl/fl animals had reduced expression of the osteoblast differentiation genes Spp1 and Ibsp at both E15.5 and postnatal (P) day 0 (P0) (Figure 2O–T and Figure 2—figure supplement 1A-B). Similarly, the mature osteoblast gene Bglap was highly reduced at P0 in Sp7Cre;Slc1a5fl/fl compared to Sp7Cre;Slc1a5fl/+ littermates (Figure 2U–V). Consistent with these observations, primary calvarial cells isolated from Sp7Cre;Slc1a5fl/fl mice incorporated less EdU and were characterized by reduced osteoblast differentiation and matrix mineralization in vitro (Figure 2W–X). This is likely a direct effect of loss of Slc1a5 activity as acute SLC1A5 inhibition using GPNA reduced calvarial cell proliferation in vitro (Figure 2—figure supplement 1W). It is important to note we observed similar results in the developing long bones at both e15.5 and P0 (Figure 2—figure supplement 1C-V and Figure 2—figure supplement 2A-I). Similarly, 2-month-old Sp7Cre;Slc1a5fl/fl mice had reduced osteoblast numbers (exemplified by OCN expression) and significantly less trabecular bone volume as measured by µCT in the distal femur compared to Sp7Cre;Slc1a5fl/+ wild-type littermate controls (Figure 2—figure supplement 2J-N). Collectively, these data indicate Slc1a5 acts cell-autonomously to regulate osteoprogenitor proliferation and osteoblast differentiation.

Figure 2. Slc1a5 is necessary for osteoblast proliferation and differentiation.

(A–D) von Kossa/Alcian blue staining on Sp7Cre;Slc1a5fl/+ (A,C) and Sp7Cre;Slc1a5fl/fl (B,D) (N = 4) at E15.5. (E–J) Representative immunofluorescent staining for Proliferating Cell Nuclear Antigen (PCNA) used to quantify proliferation. Endogenous GFP from Sp7GFP shown in (G–H) used to quantify PCNA/GFP double positive cells. The numbers in each panel represent the percent GFP, PCNA or double positive cells per GFP positive bone area (dotted line). (K–V) Representative alkaline phosphatase (ALPL) staining (K–L) or In situ hybridization (M–V) for Col1a1, Spp1, Ibsp at E15.5 (N = 4) and Spp1, Bglap at P0 (N = 3). (W) Functional assays of osteoblast differentiation in cOB isolated from Sp7Cre;Slc1a5fl/+ and Sp7Cre;Slc1a5fl/fl mice. cultured for 14 days in osteogenic media. (X) Graphical depiction of EdU incorporation in cOB cells isolated from Sp7Cre;Slc1a5fl/+ and Sp7Cre;Slc1a5fl/fl mice. Error bars depict SD. * p ≤ 0.05, ** p ≤ 0.005. by an unpaired two-tailed Student’s t-test.

Figure 2—source data 1. Contains numerical source data for Figure 2.

Figure 2.

Figure 2—figure supplement 1. SLC1A5 is necessary for proliferation and endochondral ossification.

Figure 2—figure supplement 1.

(A–V) In situ hybridization for Ibsp on p0 skull (A–B), representative alkaline phosphatase (ALPL) staining (C–D) von Kossa/Alcian blue staining (E–F), In situ hybridization (G–L, O–P, S–V) for ColX, MMP13, SP7, Col1a1, Spp1, Ibsp at E15.5 (N = 4).
Representative immunofluorescent staining for OSX (M–N) or Collagen Type 1 (COL1A1) (Q–R) at E15.5 in Sp7Cre;Slc1a5fl/+ and Sp7Cre;Slc1a5fl/fl mice. (W–Y) Effect of GPNA (0.3 mM) treatment on EdU incorporation (W–X) or protein synthesis as determined by 35S incorporation assay (Y). Error bars depict SD. * p ≤ 0.05, ** p ≤ 0.005. by an unpaired two-tailed Student’s t-test.
Figure 2—figure supplement 1—source data 1. Contains numerical source data for Figure 2—figure supplement 1.
Figure 2—figure supplement 2. Limb phenotypes at birth and 2 months in Sp7Cre;Slc1a5fl/fl mice.

Figure 2—figure supplement 2.

(A–B) Alcian blue/Picrosirius red staining, (C) qRT-PCR analyses or in situ hybridization (D–I) on Sp7Cre;Slc1a5fl/+ and Sp7Cre;Slc1a5fl/fl femora (N = 5) at P0.
(J–K) Representative μCT (N = 6) used to quantify BV/TV(%) and (L–N) OCN immunofluorescent staining and quantification on Sp7Cre;Slc1a5fl/+ and Sp7Cre;Slc1a5fl/fl (N = 4) knockout mice at 2 months of age. Error bars depict SD. * p ≤ 0.05, ** p ≤ 0.005, by an unpaired two-tailed Student’s t-test.
Figure 2—figure supplement 2—source data 1. Contains numerical source data for Figure 2—figure supplement 2.

Slc1a5 inhibition reduces protein synthesis in osteoblasts

We next sought to understand how Slc1a5 regulates proliferation and differentiation. Because Slc1a5 encodes a neutral amino acid transporter, we hypothesized that Slc1a5 ablation would primarily affect protein synthesis. To test this hypothesis, we first evaluated protein synthesis directly by monitoring the incorporation of 3H-proline into protein. Slc1a5 targeting significantly reduced 3H-proline incorporation into both collagen and total protein (Figure 3—figure supplement 1A-B). Likewise, primary calvarial cells isolated from Sp7Cre;Slc1a5fl/fl mice had significantly reduced protein and collagen synthesis rates in vitro (Figure 3A–B). These results indicate Slc1a5 is required for robust protein synthesis in osteoblasts. To test the validity of this conclusion, we evaluated the production of osteoblast proteins in vivo. Consistent with the in vitro data, Sp7Cre;Slc1a5fl/fl mice were characterized by significantly less COL1A1 in both the calvariae and long bones at e15.5 and P0 (Figure 3C–H and Figure 2—figure supplement 1Q-R and Figure 3—figure supplement 1E-F). It is important to note, Col1a1 mRNA expression was not affected in these mice indicating Slc1a5 provides amino acids required for robust COL1A1 synthesis. Similarly, Sp7Cre;Slc1a5fl/fl mice had a significant reduction in OSX protein expression as we observed a reduction in the proportion of OSX expressing cells despite no change in Sp7GFP expression (used as a proxy for Sp7) in Sp7Cre;Slc1a5fl/fl calvariae (Figure 3I–N). Thus, Slc1a5 is essential for the synthesis of proteins like OSX to regulate terminal osteoblast differentiation and COL1A1 necessary for bone matrix production.

Figure 3. Slc1a5 is required for robust protein and matrix synthesis in osteoblasts.

(A–B) Radiolabeled 3H-proline incorporation into total protein (A) or collagen (B) in cOB cells isolated from Sp7Cre;Slc1a5fl/+ and Sp7Cre;Slc1a5fl/fl mice. (C–N) Representative immunofluorescent staining for Collagen Type 1 (COL1A1) (C–H) or OSX (I–N) at E15.5 in Sp7Cre;Slc1a5fl/+(C,D,E,I,J,K) and Sp7Cre;Slc1a5fl/fl (F,G,H,L,M,N) mice. Endogenous GFP from Sp7GFP shown in (C,F,I,L). Col1a1 intensity was quantified in the GFP-positive region. Endogenous GFP from Sp7GFP shown in (I, L) was used to quantify OSX/GFP double positive cells. The numbers in each panel represent the percent GFP, OSX or double positive cells per GFP-positive bone area (dotted line). Inset images show 60 x magnification of the indicated region. * p ≤ 0.05, by an unpaired two-tailed Student’s t-test.

Figure 3—source data 1. Contains numerical source data for Figure 3.

Figure 3.

Figure 3—figure supplement 1. SLC1A5 is necessary for protein synthesis.

Figure 3—figure supplement 1.

(A–B) Radiolabeled 3H-proline incorporation into total protein (A) or collagen (B) in cOB cells.
(C–H) Representative immunofluorescent staining for Collagen Type 1 (COL1A1) at P0 in Sp7Cre;Slc1a5fl/+(C,E,G) and Sp7Cre;Slc1a5fl/fl (D,F,H) mice. Endogenous GFP from Sp7GFP shown in (C–D). The value below the merged image is the quantification of Col1a1 intensity in the GFP positive area measured from 4 mice. Inset images are ×60 magnification of the indicated region. * p ≤ 0.05, by an unpaired two-tailed Student’s t-test.
Figure 3—figure supplement 1—source data 1. Contains numerical source data for Figure 3—figure supplement 1.

Slc1a5 provides glutamine and asparagine to regulate amino acid homeostasis

We next sought to define the molecular substrates of SLC1A5 in osteoblasts. First, we determined the effect of Slc1a5 knockout on downstream metabolites using mass spectrometry. Slc1a5 targeting significantly diminished the intracellular abundance of many amino acids including reported substrates of SLC1A5 (e.g. asparagine, glutamine, and alanine) as well as amino acids not known to be transported by SLC1A5 (e.g. glutamate, lysine, histidine, aspartate, glycine, and proline) (Figure 4A). Moreover, Slc1a5 deletion also reduced the abundance of select TCA cycle intermediates including fumarate, malate, citrate, and a-ketoglutarate (Figure 4—figure supplement 1A). Interestingly, the uptake of many of these amino acids was unaffected in Slc1a5-deficient cells as only glutamine and to a lesser extent asparagine uptake was diminished in Slc1a5 targeted calvarial cells (Figure 4B). Conversely, we observed a compensatory increase in the uptake of lysine in Slc1a5-deficient calvarial cells (Figure 4B). Similar results were obtained upon acute SLC1A5 inhibition indicating SLC1A5 transports glutamine and asparagine in osteoblasts (Figure 4—figure supplement 1B). Slc1a5-deficient cells had many cellular changes consistent with decreased amino acid concentrations. For example, Slc1a5 inhibition significantly increased EIF2a Ser51 phosphorylation, a marker of amino acid depletion (Figure 4C and Figure 4—figure supplement 1C). Additionally, we observed a significant reduction in mTORC1 activity, as both ribosomal protein S6 Ser240/244 phosphorylation and Eif4ebp1 Ser65 phosphorylation were significantly reduced in Slc1a5-deficient calvarial cells (Figure 4C). Interestingly, mTOR activation was not affected by acute SLC1A5 inhibition indicating decreased mTORC1 signaling may be a secondary effect of Slc1a5 deletion. Collectively, these data indicate SLC1A5 provides glutamine and asparagine to regulate intracellular amino acid homeostasis in osteoblast progenitors.

Figure 4. Slc1a5 provides glutamine and asparagine to maintain amino acid homeostasis.

(A) Effect of Slc1a5 targeting on intracellular amino acid concentration measured by mass spectrometry.(B) Effect of Slc1a5 targeting on the uptake of indicated radiolabeled amino acids. (C) Western Blot analyses of the effect of Slc1a5 targeting on mTORC1 signaling and Eif2a phosphorylation. Phospho-proteins normalized to respective total protein. ASCT2 normalized to α-tubulin. sgRNAs targeting luciferase were used as a negative control. Fold change± SD for sgSlc1a5 over sgLuc in three independent experiments. * p ≤ 0.05 by an unpaired two-tailed Student’s t-test.

Figure 4—source data 1. Contains numerical and uncropped western blot source data for Figure 4.

Figure 4.

Figure 4—figure supplement 1. NEAA can partially rescue differentiation but not proliferation.

Figure 4—figure supplement 1.

(A) Effect of Slc1a5 targeting on intracellular concentration of Pyruvate, Lactate, Succinate, Malate, citrate, and α ketoglutarate (αKG).
(B) Effect of GPNA treatment on the uptake of indicated radiolabeled amino acids. (C) Western blot analyses of the effect of GPNA treatment on Eif2a phosphorylation and mTORC1 signaling. Phospho-proteins normalized to respective total protein. HCL treated cells were used as negative control. Fold change± SD for HCL over GPNA treated in three independent experiments. (D–E) Effect of NEAA supplementation on osteoblast marker gene induction as measured by qRT-PCR (D) or EDU incorporation (E) in sgSlc1a5 cells. * p ≤ 0.05, ** p ≤ 0.005, ** p ≤ 0.0005, by multiple unpaired t-tests (A–B) or ordinary one-way ANOVA with Tukey’s multiple comparisons (D–E). Error bars depict SD.
Figure 4—figure supplement 1—source data 1. Contains numerical and uncropped western blot source data for Figure 4—figure supplement 1.

Glutamine depletion mimics the effects of Slc1a5 deletion

We next sought to understand the importance of both glutamine and asparagine for cellular function. To do this, we cultured naive calvarial cells in the absence of glutamine or in media treated with asparaginase to deplete asparagine. Depletion of either glutamine or asparagine from the media similarly inhibited the induction of terminal osteoblast genes Ibsp and Bglap and prevented matrix mineralization (Figures 1B–C ,5A–B). While this was reminiscent of Slc1a5 ablation, it is important to note that glutamine withdrawal had a more profound effect on osteoblast differentiation compared to either asparagine depletion or Slc1a5 ablation. We next evaluated mTORC1 activity and EIF2a phosphorylation. Depletion of glutamine, but not asparagine, mimicked the effects of Slc1a5 targeting on both EIF2a Ser51 phosphorylation and mTORc1 activity (Figure 5C). Consistent with this, cells cultured in the absence of glutamine had reduced COL1A1 expression and decreased proliferation like Slc1a5 deficient cells (Figure 5C–D). On the other hand, culturing cells in the absence of asparagine had no discernable effect on either pSer51 Eif2a, pSer240/244 S6rp, or COL1A1 expression and enhanced proliferation as determined by increased EdU incorporation (Figure 5C–D). Importantly, culturing cells in the absence of either glutamine or asparagine had no effect on cell viability (Figure 5E). From these data, we conclude SLC1A5 primarily provides glutamine to regulate amino acid homeostasis necessary for proliferation and osteoblast differentiation. Additionally, SLC1A5 provides asparagine which is essential for terminal osteoblast differentiation and matrix mineralization.

Figure 5. Glutamine and asparagine are required for osteoblast differentiation.

Figure 5.

(A–B) Functional assays (A) or qRT-PCR analyses (B) of the effect of glutamine withdrawal or asparaginase treatment on cOB cultured in osteogenic media for 14 days. (C) Western blot analyses of the effect of glutamine or asparagine withdrawal on mTORC1 signaling, Eif2a phosphorylation or COL1A1 expression. Phospho-proteins normalized to respective total protein. COL1A1 normalized to beta-actin. Fold change± SD for three independent experiments. * p ≤ 0.05 by an unpaired 2-tailed Student’s t-test. (D–E) Effect of glutamine or asparagine withdrawal on EdU incorporation (D) or cell viability (E) as determined by Annexin V staining.

Figure 5—source data 1. Contains numerical and uncropped western blot source data for Figure 5.

Glutamine and asparagine-dependent amino acid synthesis is essential for protein synthesis

We next investigated how osteoblast utilize glutamine and asparagine. Since SLC1A5 ablation reduced intracellular amino acids, we hypothesized osteoblasts rely on glutamine and asparagine metabolism to maintain cellular amino acid pools. To test the validity of this hypothesis, we traced the relative contribution of glutamine or asparagine into amino acids directly. Consistent with previous reports, glutamine carbon contributes to all TCA cycle intermediates and was significantly enriched in several amino acids (e.g. glutamate, aspartate, alanine, and proline) found to be reduced in Slc1a5 targeted cells (Figure 6A, Figure 6—figure supplement 1A). Similarly, glutamine nitrogen was significantly enriched in glutamate, aspartate, alanine, serine, glycine and proline (Figure 6B). Consistent with the minor effects of asparagine withdrawal on markers of amino acid depletion, asparagine carbon was enriched only in aspartate, malate, fumarate, and citrate (Figure 6A, Figure 6—figure supplement 1A). On the other hand, asparagine nitrogen was enriched in aspartate, glutamate, proline, serine, and alanine (Figure 6A–B). Thus, glutamine contributes both carbon and nitrogen for amino acid biosynthesis whereas asparagine carbon is used only for aspartate biosynthesis while asparagine nitrogen is used in transamination reactions. Importantly, the amino acids derived from either glutamine carbon (e.g. Glu, Ala, Asp, Pro) and nitrogen (e.g. Glu, Ala, Asp, Ser, Gly and Pro) and asparagine carbon (e.g. Asp) and nitrogen (e.g. Asp, Pro, Ala, Ser) were significantly enriched in total protein (Figure 6C–D). Rescue experiments found NEAA did not rescue proliferation but could rescue the induction of terminal osteoblast marker genes like Ibsp and to a lesser extent Bglap in Slc1a5-deficient cells (Figure 4—figure supplement 1). These data indicate Slc1a5 provides glutamine and asparagine that are used for de novo synthesis of many amino acids (e.g. Glu, Asp, Ala, Ser, Gly, and Pro) that can be incorporated into nascent protein in osteoblasts.

Figure 6. Glutamine and asparagine are utilized for de novo amino acid biosynthesis.

(A–B) Fractional contribution of [U-13C]glutamine or [U-13C]asparagine (A) or [α−15N]glutamine or [α–15N]asparagine (B) to asparagine, aspartate, glutamate, proline, serine, and alanine. (C–D) Fractional contribution of [U-13C]glutamine or [U-13C]asparagine (C) or [α–15N]glutamine or [α–15N]asparagine (D) to asparagine, aspartate, glutamate, proline, serine, and alanine in total protein. (E–F) Effect of BPTES treatment on the fractional contribution of [U-13C]glutamine (E) or [α–15N]glutamine (F) to amino acids. * p ≤ 0.05, ** p ≤ 0.005, *** p ≤ 0.0005, **** p ≤ 0.00005 by ordinary one-way ANOVA with Tukey’s multiple comparisons. (G) Effect of GLS inhibition on intracellular amino acid concentration measured by mass spectrometry. * p ≤ 0.05, multiple unpaired t-tests. Error bars depict SD.(H) Western blot analyses of the effects of BPTES treatment on mTORC1 signaling, Eif2a phosphorylation and COL1A1 expression. Phospho-proteins normalized to respective total protein. COL1A1 normalized to beta-actin. Fold change± SD for three independent experiments. * p ≤ 0.05 by an unpaired two-tailed Student’s t-test. (I) Effect of GLS inhibition on protein synthesis as determined by the rate of 3H Proline incorporation into total protein. * p ≤ 0.05 by an unpaired two-tailed Student’s t-test. Error bars depict SD.

Figure 6—source data 1. Contains numerical and uncropped western blot source data for Figure 6.

Figure 6.

Figure 6—figure supplement 1. Inhibiting glutamine metabolism recapitulates molecular effects of SLC1A5 ablation.

Figure 6—figure supplement 1

(A) Fractional contribution of [U-13C]glutamine or [U-13C]asparagine to fumarate, malate, succinate, and Citrate.
(B) Effect of BPTES treatment on the fractional contribution of [U-13C]glutamine to fumarate, malate, succinate, and Citrate. (C) Effect of BPTES on EdU incorporation. (D) Effect of GLS inhibition on tRNA charging. Error bars depict SD. (E) Gls Crispr targeting strategy. (F) PCR analysis of targeted region. Arrow denotes untargeted Gls band. (G) Western blot analyses of the effect of Gls targeting. sgRNAs targeting luciferase and mCherry (denoted sgLuc) were used as a negative control. * p ≤ 0.05, by an multiple unpaired t-tests. Error bars depict SD.
Figure 6—figure supplement 1—source data 1. Contains numerical and uncropped western blot source data for Figure 6—figure supplement 1.

Next, we sought to determine if glutamine-dependent amino acid synthesis was required for the high rate of protein synthesis in osteoblasts. We focused on glutamine because glutamine was more widely used for amino acid synthesis, and glutamine withdrawal more completely phenocopied the cellular effects of Slc1a5 targeting. To do this, we inhibited the enzyme glutaminase (GLS) which catalyzes the first rate-limiting step in glutamine metabolism. GLS inhibition using BPTES resulted in cellular effects similar to Slc1a5 ablation. GLS inhibition significantly reduced glutamine carbon and nitrogen contribution to amino acid synthesis and reduced the intracellular concentrations of glutamate, aspartate, alanine, serine, and glycine concentrations (Figure 6E–G). Consistent with reduced amino acid concentrations, GLS inhibition increased the presence of uncharged Glu, Asp, and Pro tRNA without affecting either Gln or Val tRNA charging (Figure 6—figure supplement 1D). Finally, GLS inhibition induced eIF2α Ser51 phosphorylation and reduced S6 Ser240/244 phosphorylation (Figure 6H). Consistent with these molecular changes, GLS inhibition significantly reduced EdU incorporation and COL1A1 expression (Figure 6H–I). Importantly, Gls targeting reduced overall protein synthesis like Slc1a5 targeting (Figure 6I, Figure 6—figure supplement 1E-G). These data highlight the importance of de novo amino acid synthesis to maintain amino acid homeostasis and promote proliferation and protein synthesis in osteoblasts.

Discussion

Here, we present data demonstrating that SLC1A5 is a critical regulator of osteoblast proliferation, differentiation and bone formation. Osteoblasts increase Slc1a5 expression as they undergo differentiation and increase bone matrix production. Genetically inhibiting SLC1A5 activity in preosteoblasts results in delayed endochondral and intramembranous ossification. Delayed bone development is the result of decreased osteoprogenitor proliferation as well as a reduction in overall osteoblast differentiation. Slc1a5 deficient osteoblasts have reduced protein synthetic activity which manifests in reduced OSX and COL1A1 protein expression. COL1A1 is the major organic component of bone matrix and OSX is required for terminal osteoblast differentiation (Nakashima et al., 2002). Mechanistically, SLC1A5 primarily provides glutamine and to a lesser extent asparagine in osteoblasts.

Glutamine is an essential nutrient in osteoblasts. We and others have shown that glutamine metabolism contribute to many downstream metabolites in osteoblasts including αKG, non-essential amino acids (NEAA) and the tripeptide antioxidant glutathione (Karner et al., 2015; Yu et al., 2019; Stegen et al., 2021). These different studies have demonstrated these glutamine derived metabolites regulate distinct processes during osteoblast differentiation. For example, αKG is essential for skeletal stem cell proliferation, GSH regulates osteoblast viability while NEAA are important for differentiation (Yu et al., 2019; Stegen et al., 2021). We have extended these previous findings by identifying SLC1A5 as the primary glutamine transporter in osteoblasts. SLC1A5 is responsible for the majority of glutamine uptake importing 53.5 % of glutamine in osteoblasts. In addition, Slc1a5 is a minor contributor to asparagine uptake importing only 19.5 % of asparagine in osteoblasts (Figure 4B). Consistent with our own and others previous reports, we found glutamine is a critical nutrient at all stages of osteoblast differentiation whereas asparagine is more important for terminal osteoblast differentiation. To our knowledge, this represents the first demonstration of the necessity of asparagine for osteoblast differentiation. Although, osteoblasts likely rely heavily on other transporters in addition to SLC1A5 to provide asparagine during differentiation.

Osteoblasts increase SLC1A5 expression to supply glutamine and asparagine which are used to maintain amino acid homeostasis. Interestingly, glutamine was more widely used for NEAA biosynthesis as our tracing experiments found glutamate, alanine, serine, aspartate, proline, and glycine were all synthesized from either glutamine carbon or nitrogen. Conversely, only aspartate was synthesized using asparagine carbon whereas Asp, Glu, Ala, and Ser were synthesized using asparagine nitrogen albeit at lower levels compared to glutamine (Figure 6A–B). It is important to note that while we focused our analyses on amino acid biosynthesis, our data does not preclude a role for glutamine and asparagine to support osteoblast proliferation or differentiation by providing other metabolites. Consistent with this, NEAA could not rescue proliferation in Slc1a5 deficient cells (Figure 4—figure supplement 1E). Moreover, the functional significance of asparagine derived amino acids in osteoblasts remains enigmatic. The effects of asparagine depletion on osteoblast differentiation may be due to direct effects on protein synthesis, reduction of select asparagine sensitive proteins or loss of an as yet undefined asparagine derived metabolite (e.g. nucleotides). Future studies into the role and downstream metabolism of asparagine in osteoblasts are warranted.

It is interesting that glutamine and asparagine metabolism impinge upon aspartate biosynthesis in osteoblasts. Aspartate synthesis is critical for proliferation by providing both carbon and nitrogen for synthetic reactions (Birsoy et al., 2015; Sullivan et al., 2015). Thus, glutamine (and asparagine when glutamine is limiting) likely regulate proliferation in part by providing both carbon and nitrogen for aspartate biosynthesis (Pavlova et al., 2018). Aspartate synthesis likely occurs as part of the malate aspartate shuttle which is critical to regenerate oxidized NAD+ to maintain high rates of glycolysis in osteoblasts (Lee et al., 2020). While we do not completely understand the metabolism of aspartate in osteoblasts, the aspartate derived from both glutamine and asparagine was enriched in total protein (Figure 6E). Interestingly, while glutamine contributed more to aspartate biosynthesis than asparagine, asparagine-derived aspartate was more highly enriched in total protein. This suggests disparate pools of aspartate exist in osteoblasts and that the metabolic fates for these glutamine- or asparagine-derived aspartate pools vary. For example, glutamine derived aspartate may contribute more to nucleotide biosynthesis to facilitate osteoblast proliferation whereas asparagine derived aspartate is used more for protein and matrix synthesis.

Proliferation is one of the initial stages of the osteoblast differentiation process. Proliferation is associated with increased demand for glucose and amino acids to support both nucleotide and NEAA biosynthesis required for cell division (Guntur et al., 2014; Karner and Long, 2018; Flanagan and Nichols, 1964; Hosios et al., 2016). To fulfil this need, proliferating cancer cells increase amino acid transporter expression to enhance amino acid supply (Bhutia et al., 2015; Liu et al., 2018; Hassanein et al., 2013; DeBerardinis et al., 2008; Jones et al., 2018; Kiyokawa et al., 1996; Krall et al., 2016). Here, we find that Slc1a5 provides glutamine and asparagine to osteoblasts, but that only glutamine is required for proliferation. This is consistent with recent reports that asparagine is important for proliferation only when glutamine is limited (Pavlova et al., 2018; Vander Heiden and DeBerardinis, 2017; Zhang et al., 2014). Glutamine is an essential nutrient in proliferating cells (Eagle, 1955), and recent studies found glutamine and its metabolism are critical for proliferation in osteoblast progenitor cells (Yu et al., 2019; Stegen et al., 2021). The precise mechanism by which SLC1A5 regulates proliferation remains unclear as amino acid supplementation was unable to rescue proliferation. This may be because NEAA uptake is inherently limited in osteoblasts resulting in the need for amino acid biosynthesis. Alternatively, glutamine catabolism provides amino acids and other intermediate metabolites (e.g. α-KG) to support proliferation. Consistent with this, we and others have shown that either α-KG or NEAA can rescue proliferation in GLS-deficient skeletal stem cells or osteoblasts respectively (Yu et al., 2019; Stegen et al., 2021).

During differentiation, osteoblasts increase their capacity for protein synthesis and secretion. Here, we find that Slc1a5 expression is required for robust protein synthesis in osteoblasts. This effect is likely regulated by multiple factors. First, Slc1a5 provides glutamine and asparagine that are likely directly incorporated into nascent protein. Second, our tracing data shows both glutamine and asparagine are used for de novo amino acid synthesis to support protein synthesis. Third, Slc1a5 provides glutamine to activate the mechanistic target of rapamycin complex 1 (mTORC1), an important regulator of both osteoblast proliferation and differentiation (Nicklin et al., 2009; Singha et al., 2008; Xian et al., 2012; Chen et al., 2014; Fitter et al., 2017). mTORC1 is tightly regulated by amino acid availability and functions to increase protein synthesis when amino acids are available. Consistent with this, Slc1a5-deficient osteoblasts had decreased mTORC1 activation and reduced protein synthesis (Figures 3A–B ,4C). Finally, Slc1a5-deficient osteoblasts were characterized by robust activation of the integrated stress response (ISR). When amino acids are limiting, uncharged tRNA activates the kinase general control nonderepressible 2 (GCN2) which phosphorylates eukaryotic initiation factor 2 a (eIF2a) to attenuate global protein synthesis (Zhang et al., 2002; Ye et al., 2010; Kroemer et al., 2010; Pakos-Zebrucka et al., 2016). These molecular changes in Slc1a5-deficient osteoblasts are primarily the result of reduced glutamine uptake as our drop out experiments found glutamine but not asparagine withdrawal reduced mTORC1 activation and increased ISR like Slc1a5 ablation (Figure 5C). Moreover, inhibiting glutamine catabolism similarly affected mTORC1 and ISR activation (Figure 6H). Thus, Slc1a5 provides glutamine used to maintain amino acid homeostasis to regulate protein synthesis directly and indirectly downstream of mTORC1 and GCN2-dependent ISR.

In summary, we have defined the necessity and the molecular substrates of Slc1a5 in osteoblasts. Our data indicates that SLC1A5 is the primary glutamine transporter in osteoblasts. In addition to glutamine, SLC1A5 acts cell autonomously in osteoblasts to provide asparagine, both of which are essential for osteoblast differentiation. These data highlight an elegant mechanism by which osteoblasts both directly obtain and synthesize the requisite amino acids to support osteoblast differentiation and bone formation.

Materials and methods

Key resources table.

Reagent type (species) or resource Designation Source or reference Identifiers Additional information
Genetic Reagent (M. musculus) C57Bl/6 J Jackson Laboratory RRID:IMSR_JAX:000664
Genetic Reagent (M. musculus) Rosa26Cas9 Jackson Laboratory RRID:IMSR_JAX:024858
Genetic Reagent (M. musculus) Rosa26Flpe Jackson Laboratory RRID:IMSR_JAX:003946
Genetic Reagent (M. musculus) Sp7tTA;tetOeGFP/Cre PMID:16854976 RRID:IMSR_JAX:006361
Genetic Reagent (M. musculus) Slc1a5 flox This paper See Methods – Mouse strains for more information.
Chemical compound, drug Ascorbic acid Sigma Cat#A4544
Chemical compound, drug β-glycerophosphate Sigma Cat#G9422
Chemical compound, drug one-step NBT/BCIP solution Thermofisher Cat#PI34042
Chemical compound, drug L-(2,3,4-3H)Glutamine Perkin Elmer Cat#NET551250UC
Chemical compound, drug L-(14C)Alanine Perkin Elmer Cat#EC266E250UC
Chemical compound, drug L-(2,3,-3H)Proline Perkin Elmer Cat#NET483250UC
Chemical compound, drug L-(2,3,-3H)Aspartic acid Perkin Elmer Cat#NET390V001MC
Chemical compound, drug L-(4,5-3H(N))Lysine Perkin Elmer Cat#NEC280E050UC
Chemical compound, drug L-(2,3,3 H)Asparagine American Radiolabeled Chemicals Cat#ART-0500–250
Chemical compound, drug [U-13C]glutamine, Sigma Cat#605,166 Used at 2 mM final concentration
Chemical compound, drug [α-15 N]glutamine Sigma Cat#486,809 Used at 2 mM final concentration
Chemical compound, drug [U-13C]Asparagine Sigma Cat#579,866 Used at 0.33 mM final concentration
Chemical compound, drug [α-15 N] Asparagine Sigma Cat#485,896 Used at 0.33 mM final concentration
Chemical compound, drug AP substrate BM purple Roche Cat#11442074001
Chemical compound, drug ECL substrate Biorad Cat#1705060
Chemical compound, drug super signal West Femto ECL. Thermofisher Cat#1705060
Antibody Eif2α (Rabbit monoclonal) Cell Signaling RRID:AB_10692650 (1:1000)
Antibody pSer51 Eif2α (Rabbit monoclonal) Cell Signaling RRID:AB_2096481 (1:1000)
Antibody pSer240/244 S6rp(rabbit polyclonal) Cell Signaling RRID:AB_331682 (1:1000)
Antibody S6rp (rabbit monoclonal) Cell Signaling RRID:AB_331355 (1:1000)
Antibody α-tubulin (rabbit monoclonal) Cell Signaling RRID:AB_2619646 (1:1000)
Antibody α-actin (rabbit polyclonal) Cell Signaling RRID:AB_330288 (1:2000)
Antibody HRP goat anti-rabbit (goat polyclonal) Cell Signaling RRID:AB_2099233 (1:2000)
Antibody HRP anti-mouse (horse polyclonal) Cell Signaling RRID:AB_330924 (1:2000)
Antibody COL1A1 (mouse monoclonal) Santa Cruz RRID:AB_2797597 (1:2000) WB (1:1000) IF
Antibody OSX (rabbit polyclonal) Abcam RRID:AB_2194492 (1:1000)
Antibody PCNA (mouse monoclonal) Cell Signaling RRID:AB_2160343 (1:500)
Antibody goat anti mouse 568 (goat unknown clonality) Thermofisher RRID:AB_141359 (1:1000)
Antibody goat anti Rabbit 568 (goat polyclonal) Thermofisher RRID:AB_143157 (1:1000)
Commercial assay or kit Iscript Reverse transcription kit Biorad Cat#1708841
Commercial assay or kit SYBR green Biorad Cat#1725275
Commercial assay or kit Click-iT EdU Cell Proliferation Imaging Kit Invitrogen, Cat#C10337
Commercial assay or kit Click-iT EdU Alexa Fluor 488 Flow Cytometry Assay Kit Invitrogen Cat#C10420
Commercial assay or kit Apoptosis Assay Kit (Cat# 22837). AAT BIO Cat# 22,837
Chemical compound, drug AP substrate BM purple Roche Cat#11442074001
Software Algorithm Graphpad 6 https://www.graphpad.com/

Mouse strains

C57Bl/6 J (RRID:IMSR_JAX:000664), Rosa26Cas9 (RRID:1MSR_JAX:024858), Sp7tTA;tetOeGFP/Cre (RRID:IMSR_JAX:006361) (denoted in the text as Sp7Cre), and Rosa26Flpe (RRID:IMSR_JAX:003946) mouse strains were obtained from the Jackson Laboratory. The Slc1a5flox mouse strain was generated by the Duke Cancer Institute Transgenic Core facility. Briefly, LoxP sites flanking exon two and a frt PGK neo-cassette were inserted in to the endogenous Slc1a5 locus using homologous recombination (Fig. S1). The chimeric mice containing the targeting vector were then crossed to the Rosa26Flpe mouse to remove the neomycin cassette. All mice were housed at 23 °C on a 12 hr light/dark cycle and maintained on PicoLab Rodent Diet 290 (Lab diet#5053, St. Louis, MO). Timed pregnant females euthanized, and embryos were analyzed at E14.5, E15.5, E16.5, and P0. Sp7tTA;tetOeGFP/Cre mice expresses GFP and Cre recombinase under the control of the Sp7 promoter. We evaluated GFP as a proxy for Sp7 mRNA expression. The Sp7tTA;tetOeGFP/Cre mice have a partially penetrant bone phenotype. To control for this, in all genetic experiments, Sp7Cre;Slc1a5fl/fl ‘knockout’ mice are always compared to Sp7Cre;Slc1a5fl/+ as ‘wild type’ littermate controls. All animal studies were approved by the animal studies committees at Duke University and the University of Texas Southwestern Medical Center at Dallas.

Cell culture

P3 pups were euthanized and the parietal and frontal bones were isolated according to standard protocols. The membranous tissue was removed, and the bones were washed and cleaned with PBS. The calvaria was chopped and four sequential 10 min digestions were performed with 1 mg/ml Collagenase P in a shaking incubator at 37 °C. The first digestion was discarded, and the rest were combined. The digested calvarial cells were centrifuged and plated with α-MEM (GIBCO) supplemented with 15 % FBS (Invitrogen). The cells were seeded at 50,000 cells/ml. To initiate osteoblast differentiation the growth media was replaced with α-MEM with 10 % FBS, 50 mg/ml ascorbic acid (Sigma) and 10 mM β-glycerophosphate (Sigma). RNA was isolated at day 7 after mineralization media was added. At day 14, alizarin red and Von kossa staining was performed to visualize matrix mineralization. Alkaline phosphatase staining was performed using the one-step nitro-blue tetrazolium (NBT) and 5-bromo-4-chloro-3’-indolyphosphate p-toluidine salt (BCIP) solution (Thermofisher). For amino acid rescue experiments, cells were cultured for either 24 hr (proliferation) or 7 days in α-MEM supplemented to the indicated concentration with the following amino acids: 0.67 mM glycine, 0.28 mM alanine, 0.23 mM aspartic acid, 0.2 mM histidine, 0.24 mM serine, 0.35 mM proline, 0.4 mM lysine, and 0.5 mM arginine.

CRISPR/Cas9 targeting sgRNA vectors were purchased from the Genome Engineering and iPSC Center at Washington University School of Medicine. cOB were isolated from RosaCas9 mice and were infected with five lentiviral delivered short guide RNAs targeting exons 4–6 of either Slc1a5 (sgSlc1a5) or Gls (sgGls) (Fig. S1 and S6). As a control cOB were infected with sgRNAs targeting the open-reading frames of Luciferase and mCherry as a control (designated sgLuc in text and Fig.s). sgRNA sequences are listed in Table 1. To make virus, 293T cells were cotransfected with the lentiviral vector expressing short guide RNAs, pMD2.g and psPax2. After 48 hr of transfection, the media containing the virus was collected and filtered through 0.45µ m filter. cOB were cultured to 50 % confluency and were infected for 24 hr followed by recovery in regular media for another 24 hr.

Table 1. sgRNA sequences.

Slc1a5.g4 ATTGATCTCCCGCTGGATACNGG
Slc1a5.g1 ACCCGTTGGAATCCTGTTCCNGG
Slc1a5.g10 AAAATCCCTATCGATTCCTGNGG
Slc1a5.g17 AGAAGAGGTCCCGAAAGCAGNGG
Slc1a5.g31 CCAGGAGCCCGTGGATGGCGNGG
MS344.Gls.g5 ATATAACTCATCGATGTGTGNGG
MS344.Gls.g3 GTGCTAAAAAGCAGTCTGGANGG
MS345.Gls.g3 CAAATTCAGTCCTGATTTGTNGG
MS346.Gls.g14 ATATTTCAGGGGTTTTACACNGG
MS346.Gls.g1 TGCAATTGCTGTTAATGACCNGG
SP498.mCherry.g17 CAAGTAGTCGGGGATGTCGGNGG
SP498.mCherry.g19 AGTAGTCGGGGATGTCGGCGNGG
SP499.Luc.g3 CAATTCTTTATGCCGGTGTTNGG
SP399.Luc.g4 GTGTTGGGCGCGTTATTTATNGG

Uptake assays and proline incorporation assay

Confluent primary cells were washed ones with PBS and two additionally washes with Krebs Ringer Hepes (KRH) (120 mM NaCl, 5 mM KCl, 2 mM CaCl2, 1 mM MgCl2, 25 mM NaHCO3, 5 mM HEPES, 1 mM D-Glucose, pH 8). Cells were then treated for 5 min with KRH containing 4 μCi/mL of either L-(2,3,4-3H)Glutamine, L-(14C)Alanine, L-(2,3,-3H)Proline, L-(2,3,-3H)Aspartic acid, L-(4,5-3H(N))Lysine, or L-(2,3,-3H)Asparagine. After 5 min, the uptake was terminated by washing the cells three times with ice cold KRH. Cells were then scraped in 1 mL of dH2O and lysed by sonication for 1 min with 1 second pulses at 20 % amplitude. The lysate was then centrifuged and mixed with 8 mL scintillation liquid. The counts per minute (CPM) were measured using a Beckman LS6500 scintillation counter. Proline incorporation assay was performed on confluent cells in a 12-well plate. The cells were washed ones with PBS and two additional washes with KRH. The cells were incubated with 4 μCi/mL L (2,3,-3H) Proline in KRH at 37 C for 3 hr. The uptake was terminated with three washes of cold KRH, and the cells were scraped with 150 μl RIPA. The lysates were then cleared and 90 μl of the protein was precipitated with 10 % tricholoroacetic acid (TCA). The pellet was washed three times with 5%TCA and resuspended with 1 ml 0.2 N NaOH. A total of 100 μl of the lysate was saved to measure proline incorporation in total protein. The remaining lysate was separated in to two 400 μl parts, to one-part 200 μl of 60 μm HEPES containing 10 units of collagenase was added and to the second part only HEPES was added. The lysates were incubated at 37 C for 2 hr, followed by precipitation of undigested protein with 10%TCA. The supernatant was added to 8 ml of scintillation liquid to measure proline incorporation in collagen using a Beckman LS6500 scintillation counter.

RT-PCR

RNA was isolated using the Qiagen RNAeasy kit. 500 ng of RNA was reverse transcribed to cDNA using Iscript Reverse transcription kit (Biorad). The cDNA was diluted 1:10. qPCR reaction was setup using SYBR green (Biorad), 2μl of diluted cDNA and 0.1 μM primers in technical and biological triplicates. ABI Quantstudio three was used to run the qPCR. The PCR cycle were 95 °C for 3 min followed by 35 cycles of 95 °C for 10 s and 60 °C for 30 s. Gene expression was normalized to ActB followed by calculating relative expression using the 2-(ΔΔCt) method. The list of primers is found in Table 2.

Table 2. RT-PCR primer sequences.

Gene symbol Forward Reverse
Slc1a5 TGGAGATGAAAGACGTCCGC CAGGCAGGCTGACACTGGAT
β-actin AGATGTGGATCAGCAAGCAG GCGCAAGTTAGGTTTTGTCA
Akp2 CCAACTCTTTTGTGCCAGAGA GGCTACATTGGTGTTGAGCTTTT
Ibsp CAGAGGAGGCAAGCGTCACT GCTGTCTGGGTGCCAACACT
Sp7 CCTTCTCAAGCACCAATGG AAGGGTGGGTAGTCATTTGCATA
Runx2 CCAACCGAGTCATTTAAGGCT GCTCACGTCGCTCATCTTG
Bglap CAGCGGCCCTGAGTCTGA GCCGGAGTCTGTTCACTACCTTA
Asns CAAGGAGCCCAAGTTCAGTAT GGCTGTCCTCCAGCCAAT

Western blotting

To isolate protein, cells were scraped, or bones were pulverized in RIPA lysis buffer (50 mM Tris (pH 7.4), 15 mM NaCl, 0.5% NP-40) containing protease and phosphatase inhibitors (Roche). Protein concentration was measured using the BCA method and 10 μg of the protein was run on 10 % polyacrylamide gel. The protein was then transferred to a nitrocellulose membrane which was blocked for 1 hour at room temperature with 5 % milk in TBST (TBS, 0.1 % Tween20). The blots were then incubated with primary antibodies raised against ASCT2/SLC1A5 (RRID:AB_10621427, 1:1000), Eif2α (RRID:AB_10692650), pSer51 Eif2α (RRID:AB_2096481) pSer240/244 S6rp (RRID:AB_331682, 1:1000), S6rp (RRID:AB_331355, 1:1000), α-tubulin (RRID: AB_2619646, 1:1000), or β-actin (RRID: AB_330288, 1:2000) overnight at 4 C. On day 2, the membranes were washed three times 5 min each with TBST and incubated with appropriate secondary antibody HRP goat anti-rabbit (RRID:AB_2099233) or HRP anti-mouse (RRID:AB_330924) in 5 % milk in TBST for 1 hr at room temperature. The membranes were again washed three times with TBST and developed using clarity ECL substrate (Biorad) or super signal West Femto ECL.

EdU incorporation and annexin V assay

5000 cells/well were seeded in a 96 well plate for 12–16 hr after which the cells were incubated with 10 μM EdU (5-ethynyl-2’-deoxyuridine) for 6 hr. EdU incorporation was performed using the instructions provided in the Click-iT EdU Cell Proliferation Imaging Kit (Invitrogen, C10337). EdU incorporation was also analyzed using Click-iT EdU Alexa Fluor 488 Flow Cytometry Assay Kit (Invitrogen, C10420) after 24 hr incubation with 10 μM EdU. The cells were then trypsinized, permeabilized and stained as per kit instructions. Cell viability assay was performed using the Apoptosis Assay Kit (Cat# 22837).

Skeletal prep

Timed pregnant females were euthanized, and pups were harvested at E14.5, E15.5, and P0. The embryos were skinned, eviscerated and dehydrated in 95 % ethanol overnight. The mice were transferred to acetone for another night to dissolve fat tissue. After which, the tissue was stained with Alcian blue 8 GX (0.03%, m/v in 70 % ethanol) and Alizarin red S (0.005%, m/v in dH2O) solution containing 10 % acetic acid and 80 % ethanol. The stained skeletons were cleared in 1 % KOH followed by a gradient of glycerol.

Histology, immunofluorescence, and in situ hybridization

Limbs and skulls from E15.5, E16.5, and P0 were harvested skinned and fixed overnight in 4 % PFA (paraformaldehyde). Limbs from E16.5 and P0 were decalcified in 14 % EDTA overnight, followed by transferring them to 30 % sucrose for frozen embedding in OCT and 70 % ethanol for paraffin embedding. Paraffin embedded blocks were sectioned at 5 μM thickness and utilized for Alcian blue and picro-sirius, von Kossa and alcian blue using standard protocols.

Immunofluorescence was performed on 10 μM frozen sections brought to room temperature and incubated with 3 % H2O2 for 10 min. The sections were then incubated with 1.5 % goat serum in PBST (PBS with 0.1 % Tween20) at room temperature for 1 hr. The sections were then incubated overnight in primary antibodies COL1A1 (RRID:AB_638601,1:200), OSX (RRID:AB_2194492 1:500,), PCNA (RRID:AB_2160343,1:500) diluted in 1.5 % goat serum in PBST. On day 2, the sections were washed three times with PBST for 5 min each and incubated with goat anti-mouse 568 (RRID:AB_141359, 1:1000) for COL1A1 and goat anti-Rabbit 568 (RRID:AB_143157, 1:1000) for OSX and PCNA for 30 min at room temperature. The sections were then mounted with DAPI and imaged. COL1A1 intensity was measured in the Sp7GFP-positive region. OSX, Sp7GFP copositive cells were counted using Image J.

In situ hybridization was performed on 10 μM frozen sections. The sections were fixed with 4 % PFA for 10 min at room temperature followed by 10 min in acetylation solution (1.3 % triethanolamine, 0.175 % HCl, 0.375 % acetic anhydride in dH2O). The sections were then washed and incubated with hybridization buffer (50 % formamide (deionized), 5 X SSC, pH 4.5 (use citric acid to pH), 1 % SDS, 50 μg/mL yeast tRNA, 50 μg/mL heparin) for 2 hr in a humidified chamber. The excess hybridization buffer was removed and prewarmed probe diluted 1:10 was added to the slides, covered with parafilm and incubated at 60 C overnight. The slides were immersed in 5 X SSC to remove the parafilm and washed twice with 0.2 X SSC for 30 min at 60 C. After an additional wash at room temperature with 0.2 X SSC the slides were transferred to NTT (0.15 M NaCl, 0.1 M tris-Cl pH 7.5, 0.1 % tween 20) for 10 min at room temperature. The slides were blocked with blocking buffer (5 % heat inactivated sheep serum, 2 % blocking reagent/NTT) for 2 hr, followed by incubation with anti-Dig AP antibody diluted at 1:4000 in the blocking buffer overnight at 4 C. On the third day, the slides were washed with NTT on rotator three times for 30 min each, followed by 3 5 min washes with NTTML (0.15 M NaCl, 0.1 M tris pH 9.5, 50 mM MgCl2,2mM Levamisole, 0.1 % tween 20). The slides were then incubated with prewarmed AP substrate BM purple (ROCHE) at 37 C and monitored for desired staining. After staining was achieved the slides were rinsed in PBS 3 times for 5 min each. The slides were fixed in 0.2 % glutaraldehyde in 4 % PFA overnight, the slides were then mounted with glycergel and imaged.

Micro computed tomography (uCT)

Micro computed tomography (µCT) (VivaCT80, Scanco Medical AG) was used for three-dimensional reconstruction and analysis of bone parameters. Calvariae were harvested from either newborn mice or 2-month-old mice. All muscle and extemporaneous tissue were removed and the isolated calvariae were washed in PBS, fixed overnight in 10%NBF and dehydrated in 70 % ethanol. The calvariae were immobilized in 2 % agarose in PBS for scanning. A fixed volume surrounding the skull was used for 3D reconstructions. In newborn calvariae, bone volume was quantified from a fixed number of slices in the occipital lobe. The threshold was set at 280. For quantification of bone mass in the long bone, 2-month-old femurs were isolated, fixed, immobilized, and scanned. Bone parameters were quantified from 200 slices directly underneath the growth plate with the threshold set at 320.

Mass spectrometry and metabolic tracing cOB isolated from RosaCas9 homozygous P3 pups were cultured in 6 cm plates and treated as indicated. Cells were incubated with 2 mM [U-13C]glutamine, 2 mM [α–15N]glutamine, 0.33 mM [U-13C]Asparagine and 0.33 mM [α–15N] Asparagine for either 24 or 72 hours as indicated. Cells treated for 24 hr were washed with cold PBS and isolated three times with –80 °C methanol on dry ice in Eppendorf tubes containing 20 nM norvaline, which is an internal standard. The extracts were vortexed and centrifuged at 12,000 RPM for 15 min. The supernatant was completely dried with N2 gas. The dried residue was resuspended in 25 μl methoxylamine hydrochloride (2 % MOX in pyridine) and incubated for 90 min at 40 °C on a heat block. After the incubation, the samples were spun at maximum speed for 2 min and 35 μl of MTBSTFA + 1 % TBDMS was added followed by a 30 min incubation at 60 °C. The samples were centrifuged at 12,000 RPM for 5 minutes and the supernatant was transferred to GC vials for GC-MS analysis. For the experiments tracing labeled amino acids into protein, cells were incubated with 2 mM [U-13C]glutamine, 2 mM [α–15N]glutamine, 0.33 mM [U-13C]Asparagine or 0.33 mM [α–15N] Asparagine for 72 hours. Cells were isolated in 1 ml 1 M PCA and centrifuged for 10 min to precipitate the protein. The precipitate was washed twice with 1 ml 70 % ethanol after which 20 nM norvaline was added to the samples. The protein was hydrolyzed with 1 ml 6 M HCl at 110 °C for 18 hr. The samples were cooled and 1 ml chloroform was added and vortexed to remove hydrophobic metabolites. The isolates were centrifuged for 10 minutes and 100 μl of the supernatant was dried with N2 gas until dry, 50 μl of MTBSTFA + 1 % TBDMS was added followed by a 30 min incubation at 60 °C. The samples were transferred to GC vials for GC-MS analysis.

tRNA aminoacylation assay

The method is adapted from two recent reports (Loayza-Puch et al., 2016). Purified RNA was resuspended in 30 mM NaOAc/HOAc (pH 4.5). RNA was divided into two parts (2µ g each): one was oxidized with 50 mM NaIO4 in 100 mM NaOAc/HOAc (pH 4.5) and the other was treated with 50 mM NaCl in NaOAc/HOAc (pH 4.5) for 15 min at room temperature. Samples were quenched with 100 mM glucose for 5 min at room temperature, followed by desaltation using G50 columns and precipitation using ethanol. tRNA was then deacylated in 50 mM Tris-HCl (pH 9) for 30 min at 37°C, followed by another ethanol precipitation. RNA (400 ng) was then ligated the 3′adaptor.

(5′-/5rApp/TGGAATTCTCGGGTGCCAAGG/3ddC/–3′) using T4 RNA ligase 2(NEB) for 4 hr at 37 °C. 1µ g RNA was then reverse transcribed using SuperScript III first strand synthesis system with the primer (GCCTTGGCACCCGAGAATTCCA) following the manufacturer’s instruction.

Quantification and statistical analysis

All statistics were performed in Graphpad six software. In cell culture studies, statistical significance was determined by an unpaired two-tailed Student’s t-test or one-way Anova. For uCT statistical significance was determine by a paired two-tailed Student’s t-test comparing paired littermate controls. All quantifications are represented as mean ± standard deviation. A p value of less than 0.05 is considered statistically significant. All experiments were performed with n ≥ 3 biological replicates. The sample size and statistical analysis are noted in the Figure legends.

Acknowledgements

The authors thank Drs. Vishal Patel and Guoli Hu for critical comments on this manuscript. This work was supported by National Institute of Health R01 grants (AR076325 and AR071967) to CMK.

Funding Statement

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Contributor Information

Courtney M Karner, Email: courtney.karner@utsouthwestern.edu.

Ernestina Schipani, University of Pennsylvania, United States.

Carlos Isales, Medical College of Georgia at Augusta University, United States.

Funding Information

This paper was supported by the following grants:

  • National Institute of Arthritis and Musculoskeletal and Skin Diseases AR076325 to Courtney M Karner.

  • National Institute of Arthritis and Musculoskeletal and Skin Diseases AR071967 to Courtney M Karner.

Additional information

Competing interests

No competing interests declared.

No competing interests declared.

Author contributions

Investigation, Writing – review and editing.

Investigation, Writing – review and editing.

Investigation, Writing – review and editing.

Investigation, Writing – review and editing.

Conceptualization, Funding acquisition, Investigation, Project administration, Writing – original draft, Writing – review and editing.

Ethics

This study was performed in accordance with the recommendations in the Guide for the Care and Use of Laboratory Animals of the National Institutes of Health. All animal procedures were approved (APN 2020-102999) by the Animal Studies Committees at Duke University and the University of Texas Southwestern Medical Center at Dallas.

Additional files

Transparent reporting form

Data availability

All data generated or analyzed during this study are included in the manuscript.

References

  1. Adamson LF, Ingbar SH. Further studies of amino acid transport by embryonic chick bone. The Journal of Biological Chemistry. 1967;242:2646–2652. doi: 10.1016/S0021-9258(18)99619-5. [DOI] [PubMed] [Google Scholar]
  2. Bhutia YD, Babu E, Ramachandran S, Ganapathy V. Amino Acid transporters in cancer and their relevance to “glutamine addiction”: novel targets for the design of a new class of anticancer drugs. Cancer Research. 2015;75:1782–1788. doi: 10.1158/0008-5472.CAN-14-3745. [DOI] [PubMed] [Google Scholar]
  3. Birsoy K, Wang T, Chen WW, Freinkman E, Abu-Remaileh M, Sabatini DM. An Essential Role of the Mitochondrial Electron Transport Chain in Cell Proliferation Is to Enable Aspartate Synthesis. Cell. 2015;162:540–551. doi: 10.1016/j.cell.2015.07.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Bröer A, Brookes N, Ganapathy V, Dimmer KS, Wagner CA, Lang F, Bröer S. The astroglial ASCT2 amino acid transporter as a mediator of glutamine efflux. Journal of Neurochemistry. 1999;73:2184–2194. [PubMed] [Google Scholar]
  5. Bröer A, Rahimi F, Bröer S. Deletion of Amino Acid Transporter ASCT2 (SLC1A5) Reveals an Essential Role for Transporters SNAT1 (SLC38A1) and SNAT2 (SLC38A2) to Sustain Glutaminolysis in Cancer Cells. The Journal of Biological Chemistry. 2016;291:13194–13205. doi: 10.1074/jbc.M115.700534. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Chen J, Tu X, Esen E, Joeng KS, Lin C, Arbeit JM, Rüegg MA, Hall MN, Ma L, Long F. WNT7B promotes bone formation in part through mTORC1. PLOS Genetics. 2014;10:e1004145. doi: 10.1371/journal.pgen.1004145. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. DeBerardinis R, Mancuso A, Daikhin E, Nissim I, Yudkoff M, Wehrli S, Thompson CB. Beyond aerobic glycolysis: transformed cells can engage in glutamine metabolism that exceeds the requirement for protein and nucleotide synthesis. PNAS. 2007;104:19345–19350. doi: 10.1073/pnas.0709747104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. DeBerardinis R. J, Lum JJ, Hatzivassiliou G, Thompson CB. The biology of cancer: metabolic reprogramming fuels cell growth and proliferation. Cell Metabolism. 2008;7:11–20. doi: 10.1016/j.cmet.2007.10.002. [DOI] [PubMed] [Google Scholar]
  9. Eagle H. Nutrition needs of mammalian cells in tissue culture. Science. 1955;122:501–514. doi: 10.1126/science.122.3168.501. [DOI] [PubMed] [Google Scholar]
  10. Elefteriou F, Benson MD, Sowa H, Starbuck M, Liu X, Ron D, Parada LF, Karsenty G. ATF4 mediation of NF1 functions in osteoblast reveals a nutritional basis for congenital skeletal dysplasiae. Cell Metabolism. 2006;4:441–451. doi: 10.1016/j.cmet.2006.10.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Finerman GA, Rosenberg LE. Amino acid transport in bone Evidence for separate transport systems for neutral amino and imino acids. The Journal of Biological Chemistry. 1966;241:1487–1493. [PubMed] [Google Scholar]
  12. Fitter S, Matthews MP, Martin SK, Xie J, Ooi SS, Walkley CR, Codrington JD, Ruegg MA, Hall MN, Proud CG, Gronthos S, Zannettino ACW. mTORC1 Plays an Important Role in Skeletal Development by Controlling Preosteoblast Differentiation. Molecular and Cellular Biology. 2017;37:e00668-16. doi: 10.1128/MCB.00668-16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Flanagan B, Nichols G. Metabolic Studies of Bone in Vitro. Journal of Biological Chemistry. 1964;239:1261–1265. doi: 10.1016/S0021-9258(18)91421-3. [DOI] [PubMed] [Google Scholar]
  14. Garcia-Bermudez J, Baudrier L, La K, Zhu XG, Fidelin J, Sviderskiy VO, Papagiannakopoulos T, Molina H, Snuderl M, Lewis CA, Possemato RL, Birsoy K. Aspartate is a limiting metabolite for cancer cell proliferation under hypoxia and in tumours. Nature Cell Biology. 2018;20:775–781. doi: 10.1038/s41556-018-0118-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Green CR, Wallace M, Divakaruni AS, Phillips SA, Murphy AN, Ciaraldi TP, Metallo CM. Branched-chain amino acid catabolism fuels adipocyte differentiation and lipogenesis. Nature Chemical Biology. 2016;12:15–21. doi: 10.1038/nchembio.1961. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Guntur AR, Le PT, Farber CR, Rosen CJ. Bioenergetics during calvarial osteoblast differentiation reflect strain differences in bone mass. Endocrinology. 2014;155:1589–1595. doi: 10.1210/en.2013-1974. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Hahn TJ, Downing SJ, Phang JM. sulin effect on amino acid transport in bone. Biochimica et Biophysica Acta. 1969;184:675–677. doi: 10.1016/0304-4165(69)90292-x. [DOI] [PubMed] [Google Scholar]
  18. Hassanein M, Hoeksema MD, Shiota M, Qian J, Harris BK, Chen H, Clark JE, Alborn WE, Eisenberg R, Massion PP. SLC1A5 mediates glutamine transport required for lung cancer cell growth and survival. Clinical Cancer Research. 2013;19:560–570. doi: 10.1158/1078-0432.CCR-12-2334. [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Hosios AM, Hecht VC, Danai LV, Johnson MO, Rathmell JC, Steinhauser ML, Manalis SR, Vander Heiden MG. Amino Acids Rather than Glucose Account for the Majority of Cell Mass in Proliferating Mammalian Cells. Developmental Cell. 2016;36:540–549. doi: 10.1016/j.devcel.2016.02.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Hu G, Yu Y, Tang YJ, Wu C, Long F, Karner CM. The Amino Acid Sensor Eif2ak4/GCN2 Is Required for Proliferation of Osteoblast Progenitors in Mice. Journal of Bone and Mineral Research. 2020;35:2004–2014. doi: 10.1002/jbmr.4091. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Jones CL, Stevens BM, D’Alessandro A, Reisz JA, Culp-Hill R, Nemkov T, Pei S, Khan N, Adane B, Ye H, Krug A, Reinhold D, Smith C, DeGregori J, Pollyea DA, Jordan CT. Inhibition of Amino Acid Metabolism Selectively Targets Human Leukemia Stem Cells. Cancer Cell. 2018;34:724–740. doi: 10.1016/j.ccell.2018.10.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Jones CL, Stevens BM, D’Alessandro A, Reisz JA, Culp-Hill R, Nemkov T, Pei S, Khan N, Adane B, Ye H, Krug A, Reinhold D, Smith C, DeGregori J, Pollyea DA, Jordan CT. Inhibition of Amino Acid Metabolism Selectively Targets Human Leukemia Stem Cells. Cancer Cell. 2019;35:333–335. doi: 10.1016/j.ccell.2019.01.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Karner CM, Esen E, Okunade AL, Patterson BW, Long F. creased glutamine catabolism mediates bone anabolism in response to WNT signaling. The Journal of Clinical Investigation. 2015;125:551–562. doi: 10.1172/JCI78470. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Karner CM, Long F. Wnt signaling and cellular metabolism in osteoblasts. Cellular and Molecular Life Sciences. 2017;74:1649–1657. doi: 10.1007/s00018-016-2425-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Karner CM, Long F. Glucose metabolism in bone. Bone. 2018;115:2–7. doi: 10.1016/j.bone.2017.08.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Kiyokawa H, Kineman RD, Manova-Todorova KO, Soares VC, Hoffman ES, Ono M, Khanam D, Hayday AC, Frohman LA, Koff A. Enhanced growth of mice lacking the cyclin-dependent kinase inhibitor function of p27(Kip1. Cell. 1996;85:721–732. doi: 10.1016/s0092-8674(00)81238-6. [DOI] [PubMed] [Google Scholar]
  27. Krall AS, Xu S, Graeber TG, Braas D, Christofk HR. Asparagine promotes cancer cell proliferation through use as an amino acid exchange factor. Nature Communications. 2016;7:11457. doi: 10.1038/ncomms11457. [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Kroemer G, Mariño G, Levine B. Autophagy and the integrated stress response. Molecular Cell. 2010;40:280–293. doi: 10.1016/j.molcel.2010.09.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Lee WC, Guntur AR, Long F, Rosen CJ. Energy Metabolism of the Osteoblast: Implications for Osteoporosis. Endocrine Reviews. 2017;38:255–266. doi: 10.1210/er.2017-00064. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Lee WC, Ji X, Nissim I, Long F. Malic Enzyme Couples Mitochondria with Aerobic Glycolysis in Osteoblasts. Cell Reports. 2020;32:108108. doi: 10.1016/j.celrep.2020.108108. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Liu Y, Zhao T, Li Z, Wang L, Yuan S, Sun L. The role of ASCT2 in cancer: A review. European Journal of Pharmacology. 2018;837:81–87. doi: 10.1016/j.ejphar.2018.07.007. [DOI] [PubMed] [Google Scholar]
  32. Loayza-Puch F, Rooijers K, Buil LCM, Zijlstra J, Oude Vrielink JF, Lopes R, Ugalde AP, van Breugel P, Hofland I, Wesseling J, van Tellingen O, Bex A, Agami R. Tumour-specific proline vulnerability uncovered by differential ribosome codon reading. Nature. 2016;530:490–494. doi: 10.1038/nature16982. [DOI] [PubMed] [Google Scholar]
  33. Nakashima K, Zhou X, Kunkel G, Zhang Z, Deng JM, Behringer RR, de Crombrugghe B. 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]
  34. Nakaya M, Xiao Y, Zhou X, Chang J-H, Chang M, Cheng X, Blonska M, Lin X, Sun S-C. flammatory T cell responses rely on amino acid transporter ASCT2 facilitation of glutamine uptake and mTORC1 kinase activation. Immunity. 2014;40:692–705. doi: 10.1016/j.immuni.2014.04.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Nicklin P, Bergman P, Zhang B, Triantafellow E, Wang H, Nyfeler B, Yang H, Hild M, Kung C, Wilson C, Myer VE, MacKeigan JP, Porter JA, Wang YK, Cantley LC, Finan PM, Murphy LO. Bidirectional transport of amino acids regulates mTOR and autophagy. Cell. 2009;136:521–534. doi: 10.1016/j.cell.2008.11.044. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Ornitz DM, Marie PJ. FGF signaling pathways in endochondral and intramembranous bone development and human genetic disease. Genes & Development. 2002;16:1446–1465. doi: 10.1101/gad.990702. [DOI] [PubMed] [Google Scholar]
  37. Otto F, Thornell AP, Crompton T, Denzel A, Gilmour KC, Rosewell IR, Stamp GW, Beddington RS, Mundlos S, Olsen BR, Selby PB, Owen MJ. Cbfa1, a candidate gene for cleidocranial dysplasia syndrome, is essential for osteoblast differentiation and bone development. Cell. 1997;89:765–771. doi: 10.1016/s0092-8674(00)80259-7. [DOI] [PubMed] [Google Scholar]
  38. Pakos-Zebrucka K, Koryga I, Mnich K, Ljujic M, Samali A, Gorman AM. The integrated stress response. EMBO Reports. 2016;17:1374–1395. doi: 10.15252/embr.201642195. [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Palm W, Thompson CB. Nutrient acquisition strategies of mammalian cells. Nature. 2017;546:234–242. doi: 10.1038/nature22379. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Pardee AB, Dubrow R, Hamlin JL, Kletzien RF. Animal cell cycle. Annual Review of Biochemistry. 1978;47:715–750. doi: 10.1146/annurev.bi.47.070178.003435. [DOI] [PubMed] [Google Scholar]
  41. Pavlova NN, Hui S, Ghergurovich JM, Fan J, Intlekofer AM, White RM, Rabinowitz JD, Thompson CB, Zhang J. As Extracellular Glutamine Levels Decline, Asparagine Becomes an Essential Amino Acid. Cell Metabolism. 2018;27:428–438. doi: 10.1016/j.cmet.2017.12.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Phang JM, Downing SJ. Amino acid transport in bone: stimulation by cyclic AMP. The American Journal of Physiology. 1973;224:191–196. doi: 10.1152/ajplegacy.1973.224.1.191. [DOI] [PubMed] [Google Scholar]
  43. Quarles LD, Yohay DA, Lever LW, Caton R, Wenstrup RJ. Distinct proliferative and differentiated stages of murine MC3T3-E1 cells in culture: an in vitro model of osteoblast development. Journal of Bone and Mineral Research. 1992;7:683–692. doi: 10.1002/jbmr.5650070613. [DOI] [PubMed] [Google Scholar]
  44. Rached M-T, Kode A, Xu L, Yoshikawa Y, Paik J-H, Depinho RA, Kousteni S. FoxO1 is a positive regulator of bone formation by favoring protein synthesis and resistance to oxidative stress in osteoblasts. Cell Metabolism. 2010;11:147–160. doi: 10.1016/j.cmet.2010.01.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Ren P, Yue M, Xiao D, Xiu R, Gan L, Liu H, Qing G. ATF4 and N-Myc coordinate glutamine metabolism in MYCN-amplified neuroblastoma cells through ASCT2 activation. The Journal of Pathology. 2015;235:90–100. doi: 10.1002/path.4429. [DOI] [PubMed] [Google Scholar]
  46. Riddle RC, Clemens TL. Bone Cell Bioenergetics and Skeletal Energy Homeostasis. Physiological Reviews. 2017;97:667–698. doi: 10.1152/physrev.00022.2016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. 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]
  48. Schulte ML, Fu A, Zhao P, Li J, Geng L, Smith ST, Kondo J, Coffey RJ, Johnson MO, Rathmell JC, Sharick JT, Skala MC, Smith JA, Berlin J, Washington MK, Nickels ML, Manning HC. Pharmacological blockade of ASCT2-dependent glutamine transport leads to antitumor efficacy in preclinical models. Nature Medicine. 2018;24:194–202. doi: 10.1038/nm.4464. [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Scopelliti AJ, Font J, Vandenberg RJ, Boudker O, Ryan RM. Structural characterisation reveals insights into substrate recognition by the glutamine transporter ASCT2/SLC1A5. Nature Communications. 2018;9:38. doi: 10.1038/s41467-017-02444-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Shen L, Sharma D, Yu Y, Long F, Karner CM. Biphasic regulation of glutamine consumption by WNT during osteoblast differentiation. Journal of Cell Science. 2021;134:jcs251645. doi: 10.1242/jcs.251645. [DOI] [PMC free article] [PubMed] [Google Scholar]
  51. Singha UK, Jiang Y, Yu S, Luo M, Lu Y, Zhang J, Xiao G. Rapamycin inhibits osteoblast proliferation and differentiation in MC3T3-E1 cells and primary mouse bone marrow stromal cells. Journal of Cellular Biochemistry. 2008;103:434–446. doi: 10.1002/jcb.21411. [DOI] [PubMed] [Google Scholar]
  52. Stegen S, Devignes C-S, Torrekens S, Van Looveren R, Carmeliet P, Carmeliet G. Glutamine Metabolism in Osteoprogenitors Is Required for Bone Mass Accrual and PTH-Induced Bone Anabolism in Male Mice. Journal of Bone and Mineral Research. 2021;36:604–616. doi: 10.1002/jbmr.4219. [DOI] [PubMed] [Google Scholar]
  53. Stein GS, Lian JB, Owen TA. Relationship of cell growth to the regulation of tissue-specific gene expression during osteoblast differentiation. FASEB Journal. 1990;4:3111–3123. doi: 10.1096/fasebj.4.13.2210157. [DOI] [PubMed] [Google Scholar]
  54. Stein GS, Lian JB. Molecular mechanisms mediating proliferation/differentiation interrelationships during progressive development of the osteoblast phenotype. Endocrine Reviews. 1993;14:424–442. doi: 10.1210/edrv-14-4-424. [DOI] [PubMed] [Google Scholar]
  55. Sullivan LB, Gui DY, Hosios AM, Bush LN, Freinkman E, Vander Heiden MG. Supporting Aspartate Biosynthesis Is an Essential Function of Respiration in Proliferating Cells. Cell. 2015;162:552–563. doi: 10.1016/j.cell.2015.07.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  56. Tonna EA, Cronkite EP. Autoradiographic studies of cell proliferation in the periosteum of intact and fractured femora of mice utilizing DNA labeling with H3-thymidine. Proceedings of the Society for Experimental Biology and Medicine. Society for Experimental Biology and Medicine. 1961;107:719–721. doi: 10.3181/00379727-107-26733. [DOI] [PubMed] [Google Scholar]
  57. Utsunomiya-Tate N, Endou H, Kanai Y. Cloning and functional characterization of a system ASC-like Na+-dependent neutral amino acid transporter. The Journal of Biological Chemistry. 1996;271:14883–14890. doi: 10.1074/jbc.271.25.14883. [DOI] [PubMed] [Google Scholar]
  58. van Geldermalsen M, Wang Q, Nagarajah R, Marshall AD, Thoeng A, Gao D, Ritchie W, Feng Y, Bailey CG, Deng N, Harvey K, Beith JM, Selinger CI, O’Toole SA, Rasko JEJ, Holst J. ASCT2/SLC1A5 controls glutamine uptake and tumour growth in triple-negative basal-like breast cancer. Oncogene. 2016;35:3201–3208. doi: 10.1038/onc.2015.381. [DOI] [PMC free article] [PubMed] [Google Scholar]
  59. Vander Heiden MG, DeBerardinis RJ. Understanding the Intersections between Metabolism and Cancer Biology. Cell. 2017;168:657–669. doi: 10.1016/j.cell.2016.12.039. [DOI] [PMC free article] [PubMed] [Google Scholar]
  60. Wang J, Alexander P, Wu L, Hammer R, Cleaver O, McKnight SL. Dependence of mouse embryonic stem cells on threonine catabolism. Science. 2009;325:435–439. doi: 10.1126/science.1173288. [DOI] [PMC free article] [PubMed] [Google Scholar]
  61. Wang Q, Beaumont KA, Otte NJ, Font J, Bailey CG, van Geldermalsen M, Sharp DM, Tiffen JC, Ryan RM, Jormakka M, Haass NK, Rasko JEJ, Holst J. Targeting glutamine transport to suppress melanoma cell growth. Ternational Journal of Cancer. 2014;135:1060–1071. doi: 10.1002/ijc.28749. [DOI] [PubMed] [Google Scholar]
  62. Wu J, Li G, Li L, Li D, Dong Z, Jiang P. Asparagine enhances LCK signalling to potentiate CD8+ T-cell activation and anti-tumour responses. Nature Cell Biology. 2021;23:75–86. doi: 10.1038/s41556-020-00615-4. [DOI] [PubMed] [Google Scholar]
  63. Xian L, Wu X, Pang L, Lou M, Rosen CJ, Qiu T, Crane J, Frassica F, Zhang L, Rodriguez JP. Matrix IGF-1 maintains bone mass by activation of mTOR in mesenchymal stem cells. Nature Medicine. 2012;18:1095–1101. doi: 10.1038/nm.2793. [DOI] [PMC free article] [PubMed] [Google Scholar]
  64. Ye J, Kumanova M, Hart LS, Sloane K, Zhang H, De Panis DN, Bobrovnikova-Marjon E, Diehl JA, Ron D, Koumenis C. The GCN2-ATF4 pathway is critical for tumour cell survival and proliferation in response to nutrient deprivation. The EMBO Journal. 2010;29:2082–2096. doi: 10.1038/emboj.2010.81. [DOI] [PMC free article] [PubMed] [Google Scholar]
  65. Yee JA. Effect of parathyroid hormone on amino acid transport by cultured neonatal mouse calvarial bone cells. Journal of Bone and Mineral Research. 1988;3:211–218. doi: 10.1002/jbmr.5650030214. [DOI] [PubMed] [Google Scholar]
  66. Yu Y, Newman H, Shen L, Sharma D, Hu G, Mirando AJ, Zhang H, Knudsen E, Zhang G-F, Hilton MJ, Karner CM. Glutamine Metabolism Regulates Proliferation and Lineage Allocation in Skeletal Stem Cells. Cell Metabolism. 2019;29:966–978. doi: 10.1016/j.cmet.2019.01.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  67. Zhang P, McGrath BC, Reinert J, Olsen DS, Lei L, Gill S, Wek SA, Vattem KM, Wek RC, Kimball SR, Jefferson LS, Cavener DR. The GCN2 eIF2alpha kinase is required for adaptation to amino acid deprivation in mice. Molecular and Cellular Biology. 2002;22:6681–6688. doi: 10.1128/mcb.22.19.6681-6688.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  68. Zhang J, Fan J, Venneti S, Cross JR, Takagi T, Bhinder B, Djaballah H, Kanai M, Cheng EH, Judkins AR, Pawel B, Baggs J, Cherry S, Rabinowitz JD, Thompson CB. Asparagine plays a critical role in regulating cellular adaptation to glutamine depletion. Molecular Cell. 2014;56:205–218. doi: 10.1016/j.molcel.2014.08.018. [DOI] [PMC free article] [PubMed] [Google Scholar]

Decision letter

Editor: Ernestina Schipani1

Our editorial process produces two outputs: i) public reviews designed to be posted alongside the preprint for the benefit of readers; ii) feedback on the manuscript for the authors, including requests for revisions, shown below. We also include an acceptance summary that explains what the editors found interesting or important about the work.

Acceptance summary:

This is an important work that evaluates the role of ASCT2 transporter in amino acid metabolisms in osteoblasts. State of the art in vitro and in vivo methods are used to prove that ASCT2 plays an important role in bone cells and tissue to supply glutamine required for normal osteoblasts function and matrix biosynthesis. This work adds new knowledge of osteoblast metabolism.

Decision letter after peer review:

Thank you for submitting your article "SLC1A5 provides glutamine and asparagine necessary for bone development in mice" for consideration by eLife. Your article has been reviewed by 3 peer reviewers, one of whom is a member of our Board of Reviewing Editors, and the evaluation has been overseen by a Reviewing Editor and Carlos Isales as the Senior Editor. The reviewers have opted to remain anonymous.

The reviewers have discussed their reviews with one another, and the Reviewing Editor has drafted this to help you prepare a revised submission.

Essential revisions:

Reviewers all agree the study is interesting, but a series of critical issues were raised that need to be addressed by either performing additional experiments or clarifying their interpretation of the current results.

Please address concerns and comments point-by-point.

In particular, it is crucial to carefully discuss the novelty of the findings. In addition, it is critical to clarify whether the OSX-Cre driver used in the study is inducible.

Reviewer #1 (Recommendations for the authors):

Specific Comments:

1. The authors show that impairing the intracellular transport of glutamine and asparagine decreases the intracellular accumulation of metabolites of the TCA cycle such as citrate and α-ketoglutarate. Is mitochondrial respiration negatively affected in mutant osteoblasts? Are the mutant cells energy deficient?

2. Are the widening of the sutures and the delay of the osteogenic front still present in the flat bones of the skull in mutant mice postnatally?

Reviewer #2 (Recommendations for the authors):

1. The authors propose that inactivation of SLC1A5 affects osteoblast differentiation. While matrix mineralization is clearly decreased, it is not fully clear whether ALP staining is affected to the same extent using the different in vitro models (i.e. sgRNA against Slc1a5, cells from SLC1A5 conditional knockout mice, GPNA-treatment).

2. Based on the whole-skeleton stainings, the defect caused by SLC1A5 deletion appears to disappear in long bones of P0 mice. Is BV/TV decreased in long bones of SLC1A5 knockout mice, and, if so, does the bone phenotype progress in (young) adult mice? This is likely important information, as this would suggest that only a transient upregulation of SLC1A5 activity is required during bone development.

3. Is protein and matrix synthesis affected by GPNA treatment, thereby mimicking the genetic models?

4. The observation that asparagine depletion increases proliferation is interesting. Is glutamine uptake and/or catabolism increased in these conditions?

5. Figure 6A-F, Figure S5A-B – please provide statistics.

6. Please provide scale bars in Figure 1P-U, Figure S1Q-W, Figure S2A-W.

7. There appears to be some variation in the degree of mineralization in the different experiments (e.g. Figure S2Y), which might affect the effect size of the treatment condition.

8. For some experiments, the authors used the term 'ACTS2' instead of SLC1A5. It might be clearer to use SLC1A5 throughout.

Reviewer #3 (Recommendations for the authors):

This work by Sharma et al., studied the role of aa transporter, ASCT2, encoded by Slc1a5 gene, that transports mostly Glmn and Asn, in osteoblasts (OB). They use gene targeting in vitro and in vivo using Sp7-Cre driven cKO. They found that ASCT2 deletion impairs OB differentiation in vitro as well as mostly intramembranous ossification in vivo by interfering with proliferation and protein synthesis. Mechanistically, they show that Glmn uptake via ASCT2 is important for aa synthesis in OBs.

This group has shown before that Glmn is essential for OB metabolism. The current work further investigates this phenomenon and identifies ASCT2 as the key mechanism of Glmn uptake into OBs.

The work is logically structured and carefully done with appropriate in vivo and in vitro controls. A variety of methods is used to confirm their findings, such as in vivo immunodetection and in situ hybridization and in vitro metabolic tracing. The conclusions are well justified by the data.

eLife. 2021 Oct 14;10:e71595. doi: 10.7554/eLife.71595.sa2

Author response


Essential revisions:

Reviewers all agree the study is interesting, but a series of critical issues were raised that need to be addressed by either performing additional experiments or clarifying their interpretation of the current results.

Please address concerns and comments point-by-point.

In particular, it is crucial to carefully discuss the novelty of the findings. In addition, it is critical to clarify whether the OSX-Cre driver used in the study is inducible.

We thank the editor and reviewers for their constructive comments that have given us the opportunity to improve this work. We can confirm the Sp7Cre driver (Sp7Cre;tTAtetOeGFP) we used in this study is inducible (DOX OFF) although we did not use it in this manner. We used this as a constitutive CRE line in this study. We have better described this Cre line and the controls we used in the methods. Also, we have expanded the discussion to include a new paragraph that better discusses the novelty of our findings. The relevant text is as follows:

“Glutamine is an essential nutrient in osteoblasts. We and others have shown that glutamine metabolism contribute to many downstream metabolites in osteoblasts including aKG, non-essential amino acids (NEAA) and the tripeptide antioxidant glutathione. These different studies have demonstrated these glutamine derived metabolites regulate distinct processes during osteoblast differentiation. For example, aKG is essential for skeletal stem cell proliferation, GSH regulates osteoblast viability while NEAA are important for differentiation. We have extended these previous findings by identifying SLC1A5 as the primary glutamine transporter in osteoblasts. SLC1A5 is responsible for a majority of glutamine uptake importing 53.5% of glutamine in osteoblasts. In addition, Slc1a5 is a minor contributor to asparagine uptake importing 19.5% of asparagine in osteoblasts. Consistent with our own and others previous reports, we found glutamine is a critical nutrient at all stages of osteoblast differentiation whereas asparagine is more important for terminal osteoblast differentiation. To our knowledge this represents the first demonstration of the necessity of asparagine for osteoblast differentiation. Although it is likely that osteoblasts rely heavily on other transporters in addition to SLC1A5 to provide asparagine during differentiation.”

Reviewer #1 (Recommendations for the authors):

Specific Comments:

1. The authors show that impairing the intracellular transport of glutamine and asparagine decreases the intracellular accumulation of metabolites of the TCA cycle such as citrate and α-ketoglutarate. Is mitochondrial respiration negatively affected in mutant osteoblasts? Are the mutant cells energy deficient?

We thank the reviewer for the overall positive review of our work. We have not evaluated mitochondrial respiration directly. In our initial characterization of these mice, we did not observe obvious changes in markers of energetic stress (e.g. increased pThr172 of AMPK). Because of this, we focused our analyses on amino acid homeostasis as this was obviously affected in the Slc1a5 mutant cells.

2. Are the widening of the sutures and the delay of the osteogenic front still present in the flat bones of the skull in mutant mice postnatally?

The suture phenotype is present in postnatal stages. We have included X-Ray, µCT and histology of 2-month-old Sp7Cre;Slc1a5fl/fl mice. Increased suture width and altered suture morphology is evident at this age. We have included these data in Figure 1 —figure supplement 2.

Reviewer #2 (Recommendations for the authors):

1. The authors propose that inactivation of SLC1A5 affects osteoblast differentiation. While matrix mineralization is clearly decreased, it is not fully clear whether ALP staining is affected to the same extent using the different in vitro models (i.e. sgRNA against Slc1a5, cells from SLC1A5 conditional knockout mice, GPNA-treatment).

It is difficult to directly compare these experiments. One involves a chemical inhibitor (GPNA) while the other two are genetic in nature. Sp7Cre (which deletes Slc1a5 only in Sp7 expressing cells that already express ALPL) is not expressed in naïve calvarial cells and only becomes expressed after osteogenic induction. The sgRNA experiment is targeting Slc1a5 in naïve cells prior to ALPL and Sp7 expression. Likewise, GPNA is an acute inhibition targeting naïve cells. All three models demonstrated a consistent inhibition of both matrix mineralization and the induction of terminal osteoblast marker genes like Ibsp and Bglap. Thus, we conclude Slc1a5 is essential for osteoblast differentiation.

2. Based on the whole-skeleton stainings, the defect caused by SLC1A5 deletion appears to disappear in long bones of P0 mice. Is BV/TV decreased in long bones of SLC1A5 knockout mice, and, if so, does the bone phenotype progress in (young) adult mice? This is likely important information, as this would suggest that only a transient upregulation of SLC1A5 activity is required during bone development.

We apologize for giving the impression that the phenotype only affected the calvarium and the long bones were normal at birth. We evaluated the long bone phenotypes in the Slc1a5 knockout mice at both birth (P0) and 2-months of age. At birth, these mice are characterized by reduced expression of late osteoblast genes Spp1 and Bglap with no change in Col1a1 as measured by qPCR from whole bone shafts and in situ hybridization. At 2-months of age, the knockout mice have significantly decreased trabecular BV/TV and decreased OCN positive cells. We have included these data in Figure 2 —figure supplement 2.

3. Is protein and matrix synthesis affected by GPNA treatment, thereby mimicking the genetic models?

Yes, protein synthesis is significantly reduced in GPNA treated cells as determined by 35S-Cys and Met incorporation. This data is included in Figure 2 —figure supplement 1Y.

4. The observation that asparagine depletion increases proliferation is interesting. Is glutamine uptake and/or catabolism increased in these conditions?

The increase in proliferation when Asn is limiting was unexpected and we agree this finding is interesting. We have not evaluated either glutamine uptake or catabolism under these conditions. These are interesting experiments to perform in the future.

5. Figure 6A-F, Figure S5A-B – please provide statistics.

We have added statistics for these experiments.

6. Please provide scale bars in Figure 1P-U, Figure S1Q-W, Figure S2A-W.

We have added scale bars to these figures.

7. There appears to be some variation in the degree of mineralization in the different experiments (e.g. Figure S2Y), which might affect the effect size of the treatment condition.

We agree with the reviewer that the data in the original Figure S2Y is suboptimal. GPNA is dissolved in HCl, thus our vehicle control for those experiments is equal molar HCl. In our experience, this limits matrix mineralization under “control” conditions. Because the genetic data in Figures 1 and 2 is more robust we have removed the GPNA functional differentiation data.

8. For some experiments, the authors used the term 'ACTS2' instead of SLC1A5. It might be clearer to use SLC1A5 throughout.

Thank you for this suggestion. We have removed the references to ASCT2 and replaced them with SLC1A5.

Associated Data

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

    Supplementary Materials

    Figure 1—source data 1. Contains numerical source data for Figure 1.
    Figure 1—figure supplement 1—source data 1. Contains numerical and uncropped western blot source data for Figure 1—figure supplement 1.
    Figure 2—source data 1. Contains numerical source data for Figure 2.
    Figure 2—figure supplement 1—source data 1. Contains numerical source data for Figure 2—figure supplement 1.
    Figure 2—figure supplement 2—source data 1. Contains numerical source data for Figure 2—figure supplement 2.
    Figure 3—source data 1. Contains numerical source data for Figure 3.
    Figure 3—figure supplement 1—source data 1. Contains numerical source data for Figure 3—figure supplement 1.
    Figure 4—source data 1. Contains numerical and uncropped western blot source data for Figure 4.
    Figure 4—figure supplement 1—source data 1. Contains numerical and uncropped western blot source data for Figure 4—figure supplement 1.
    Figure 5—source data 1. Contains numerical and uncropped western blot source data for Figure 5.
    Figure 6—source data 1. Contains numerical and uncropped western blot source data for Figure 6.
    Figure 6—figure supplement 1—source data 1. Contains numerical and uncropped western blot source data for Figure 6—figure supplement 1.
    Transparent reporting form

    Data Availability Statement

    All data generated or analyzed during this study are included in the manuscript.


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