• Users Online: 110
  • Home
  • Print this page
  • Email this page
Home About us Editorial board Ahead of print Current issue Search Archives Submit article Instructions Subscribe Contacts Login 

 Table of Contents  
ORIGINAL ARTICLE
Year : 2018  |  Volume : 1  |  Issue : 2  |  Page : 55-62

Identification and characterization of glycine decarboxylase as a direct target of snail in the epithelial–mesenchymal transition of cancer cells


1 Department of Pathology, Wayne State University School of Medicine, Detroit, MI, USA
2 Karmanos Cancer Institute, Wayne State University School of Medicine, Detroit, MI, USA
3 Department of Pathology; Cardiovascular Research Institute, Wayne State University School of Medicine, Detroit, MI, USA

Date of Web Publication4-Feb-2019

Correspondence Address:
Dr. Jian Wang
6135 Woodward Ave., Detroit, MI 48202
USA
Login to access the Email id

Source of Support: None, Conflict of Interest: None


DOI: 10.4103/tme.tme_8_18

Get Permissions

  Abstract 


Context/Aims: Metabolic reprogramming and cellular plasticity drive tumorigenesis. However, how these cellular events collectively contribute to the oncogenic process is poorly understood. Epithelial-mesenchymal transition (EMT), a fundamental mechanism of cellular plasticity, is governed by the EMT transcription repressors such as Snail. In the present study, through establishment and characterization of inducible overexpression of Snail in A549 lung cancer cells, we aim to define the metabolic reprogramming in response to Snail in the EMT of lung cancer cells. Methods/Results: Our metabolomic analysis suggests that forced expression of Snail accompanied reduced diversion of glycolytic metabolites to the serine/glycine metabolic shunt, a critical metabolic branch that distributes glucose catabolic intermediates to the major anabolic pathways. Our gene expression profiling and molecular characterization revealed that Snail actively suppressed the expression of glycine decarboxylase (GLDC), a key enzyme on the serine/glycine metabolic shunt, through binding to an evolutionarily conserved E-box motif and thereby inhibiting the promoter of the GLDC gene. Besides, knockdown of GLDC led to a cellular function shift from proliferation to migration. Conclusion: This study has revealed a novel molecular link that integrates the serine/glycine metabolism with the Snail-mediated EMT program in cancer cells.

Keywords: Cancer metabolism, epithelial–mesenchymal transition, glycine catabolism, glycine decarboxylase, Snail


How to cite this article:
Chen G, Wu J, Li J, Wang J. Identification and characterization of glycine decarboxylase as a direct target of snail in the epithelial–mesenchymal transition of cancer cells. Tumor Microenviron 2018;1:55-62

How to cite this URL:
Chen G, Wu J, Li J, Wang J. Identification and characterization of glycine decarboxylase as a direct target of snail in the epithelial–mesenchymal transition of cancer cells. Tumor Microenviron [serial online] 2018 [cited 2019 Oct 15];1:55-62. Available from: http://www.TMEResearch.org/text.asp?2018/1/2/55/251516




  Introduction Top


During embryogenesis, multiple waves of transdifferentiation from the epithelial to the mesenchymal cell type denoted as the epithelial–mesenchymal transition (EMT), occur in the developing embryo, which allows the primitive embryonic cells to migrate and form the three germ layers fundamental to the development of a multicellular organism, including human beings.[1],[2] It is increasingly clear that tumor cells are able to hijack the capacities of EMT to achieve metastasis and chemoresistance.[3],[4] At the molecular level, EMT transcription factors such as Snail govern the occurrence of EMT through binding to the E-box regulatory motif (s) and thereby repressing the key epithelial genes such as E-cadherin.[5],[6]

Interestingly, while gaining migratory capacity during EMT, the cells often slow down proliferation, implying that significant rearrangement of cellular states including cellular metabolism would occur in the EMT processes.[7],[8],[9] However, the metabolic phenotype associated with the EMT of cancer cells is poorly defined and appears to be context dependent. For example, the elevation of Snail has been shown to augment differential responses in the glycolysis, the primary catabolic pathway of cancer cells,[10] with the upregulated and downregulated glycolysis seen in the breast[11] and lung cancer,[12] respectively. Therefore, it is imperative to elucidate the molecular relationship between the EMT transcription factor and the metabolic target for a better understanding of the metabolic basis for EMT.

The small amino acid glycine is a key metabolic intermediate that connects the major catabolic and anabolic pathways in cancer cells.[13],[14] Synthesized from the serine that is derived from the glycolytic catabolites, the glycine is broken down to form the folate-mediated one-carbon unit, supplying key anabolic intermediates for supporting cell proliferation.[13],[14] Therefore, high turnover of glycine is a unique metabolic feature associated with rapidly proliferating cancer[15] and embryonic stem cells.[16] Consistently, the key enzymes of this high-flux serine/glycine metabolic shunt including phosphoglycerate dehydrogenase, serine hydroxymethyltransferase, and glycine decarboxylase (GLDC) which are responsible for the synthesis and catabolism of serine and glycine, respectively, are all found to be significantly elevated to drive cancer proliferation.[17],[18],[19] However, given a clear functional shift from proliferation to migration during EMT, it is not known whether the serine/glycine metabolic shunt is reprogrammed at the molecular level in this important cellular process.

In the current study, through characterization of an EMT tissue culture model, we identified that GLDC, the glycine catabolic enzyme is a novel direct target of Snail. We found that Snail binds to an evolutionarily conserved proximal E-box motif in the GLDC gene and thereby suppresses the GLDC promoter. Thus, these observations have revealed a novel molecular link that integrates the serine/glycine metabolic rearrangement with the Snail-induced EMT program.


  Materials and Methods Top


Cell culture, plasmid construction, and cell line establishment.

Human lung cancer A549 and H1299 (ATCC) and human embryonic kidney 293FT (Invitrogen) cells were maintained in Dulbecco's modified Eagle medium supplemented with 10% fetal bovine serum, 100 U of penicillin/ml, and 0.1 ng of streptomycin/ml.

For construction of the Snail expression vectors, the full-length human Snail cDNA was fused with a 3' in-frame HA epitope tag sequence and was cloned into pInducer20[20] and pcDNA3.1 (Invitrogen) to yield pInducer20-Snail-HA and pcDNA3.1-Snail-HA for doxycycline-inducible and constitutive overexpression of wild-type Snail, respectively. For construction of the expression vector for the transcriptionally inactive Snail mutant that lacks SNAG domain,[21] the sequence encoding the amino acids at the positions of 2–8 at the N-terminal of Snail protein, was deleted in pcDNA3.1-Snail-HA to yield pcDNA3.1-SnailΔSNAG-HA using a site-directed mutagenesis kit (Stratagene). For construction of the luciferase reporter for CDH1 promoter, a ~400 bp sequence spanning the nucleotide positions-365 to +48 of CDH1 gene was amplified from human genomic DNA and cloned into pGL3-basic (Promega). For construction of the luciferase reporters for GLDC promoter, a ~1 kb sequence spanning the nucleotide positions-962 to +55 of GLDC gene was amplified from human genomic DNA and cloned into pGL3-basic (Promega) to yield the wild-type reporter GLDC-luc. The mutated reporter constructs with targeted deletion of either the proximal or the distal E-box motif were generated using site-directed mutagenesis and designated as E1 mut-luc and E2 mut-luc, respectively.

For establishment of A549-Snail cell line, the lentiviral particles were produced by cotransfection of pInducer20-Snail-HA with pMD2.G and psPAX2 packaging vectors into 293FT cells, and were then infected into A549 cells. The infectants were selected in the media containing 500 mg/ml of G418, and the drug-resistant cell clones were screened for doxycycline-inducible overexpression of Snail-HA protein using Western blotting.

For knockdown of GLDC, the siRNA oligos (Origene) was transfected into A549 cells using Lipofectamine RNAiMAX reagent according to the vendor's specifications.

Western blotting

Cells were washed twice in phosphate-buffered saline (PBS) and lysed in the hypotonic lysis buffer (25 mM Tris-HCl-pH 7.5, 40 mM NaCl, 1% Triton X-100). Protein concentrations were determined with the Bradford reagent (Bio-Rad). Cell lysates (40 μg) were resolved by sodium dodecyl sulfate-polyacrylamide gel electrophoresis, and proteins were transferred onto nitrocellulose filters. The blots were saturated with 5% nonfat milk and probed with antibodies against GLDC (Sigma, 1:1000), AMT (Sigma, 1:1000), DLD (Sigma, 1:1000), GAPDH (Santa Cruz, 1:1000), E-Cadherin (BD Bioscience, 1:1000), N-Cadherin (Abcam, 1:1000), Snail (Cell Signaling, 1:1000), or HA (Santa Cruz, 1:1000). Following a wash with PBST (PBS containing 0.1% Tween 20), the blots were incubated with peroxidase-coupled goat anti-rabbit immunoglobulin G (Sigma, 1:5000). The immunolabeled protein bands were detected by enhanced chemiluminescence method (Perkin Elmer).

Immunohistochemistry

Cells grown in the chamber slides were fixated with 4% paraformaldehyde, and subsequently permeabilized with 0.2% Triton X-100. After saturation with 3% Donkey serum, cells were incubated with the primary antibody against HA (Santa Cruz, 1:250) or E-Cadherin (BD Bioscience, 1:250), and then incubated with the TRITC-conjugated Donkey anti-rabbit (Jackson ImmunoResearch, 1:500) or FITC-conjugated Donkey anti-mouse (Jackson ImmunoResearch, 1:500) secondary antibody. The immunofluorescence was visualized in the cells using confocal microscopy (Olympus).

Cell proliferation and migration assays

Cell proliferation and migration were examined as previously described.[22],[23] To measure cell proliferation, equal number of cells were seeded on 6-cm plates, and were subjected the indicated treatment. The number of cells was then counted using a hemocytometer at the indicated time. To measure cellular capacity for migration, the Boyden chamber matrigel migration assay was performed. In brief, cells were seeded in the serum-free media in 8 μm Boyden chamber (Corning) coated with Matrigel (BD Bioscience), and the chamber was placed inside a bottom plate containing complete growth media as migratory attractants. Following 24 h incubation, invasive cells retained on the filter were fixed with 1% paraformaldehyde and stained with 1% crystal violet, and quantified under a microscope.

Quantitation of intracellular metabolites

Cell metabolism was quenched by flash freezing of the cells in liquid nitrogen. Cellular metabolites were extracted in 80% aqueous methanol, and then quantitated using the LC-MS/MS methods as previously described.[24] Data are presented as the relative abundance of each individual metabolite in reference to the level of the control cells without Snail induction.

Determination of mRNA expression by next- generation sequencing and quantitative reverse transcription-polymerase chain reaction

Total cellular RNA was isolated using the Trizol reagent (Invitrogen). To profile the differential expression of mRNAs in the A549-Snail cells with or without Snail induction, cDNA libraries compatible for Illumina sequencing were prepared by using the QuantSeq 3' mRNA-seq Reverse (REV) Library Prep Kit (Lexogen) according to the manufacturer's instruction. The resultant cDNA libraries were assessed using a TapeStation (Agilent), and subjected to 100 bp single-end sequencing using the Illumina HiSeq 2500 system at the Wayne State University Applied Genomics Technology Center. The sequencing reads were mapped to the human reference genome, and the differential gene expression was determined.

To determine the mRNA expression using quantitative reverse transcription-polymerase chain reaction (qRT-PCR), cDNA libraries were constructed by random priming using the SuperScript III First-Strand Synthesis System (Invitrogen). The synthesized cDNA was used as a template for qRT-PCR with SYBR Green qPCR Master Mixes (Thermo Scientific) on an Mx3000P cycler (Stratagene). All mRNA levels were determined as the delta-delta threshold cycle (DDCT), and normalized to PPIA mRNA level of PPIA or b-actin housekeeping gene. The results were expressed as the fold changes relative to the untreated control, and the standard deviation (SD) bar graphs were plotted. The PCR primers used are listed in [Table S1].



Dual luciferase reporter assay

Firefly luciferase reporter plasmids (2 mg each) were cotransfected with 0.04 mg of Renilla reniformis luciferase control vector pRL-CMV (Promega) into 293FT or A549-Snail cells using Lipofectamine 2000 (Invitrogen). The levels of Snail proteins were increased either by cotransfection of the 293FT cells with pcDNA3.1-Snail-HA or pcDNA3.1-SnailDN7-HA vector, or treatment of A549-Snail cells with doxycycline. Dual luciferase assays were performed according to the manufacturer's instructions (Promega).

Chromatin immunoprecipitation

A549-Snail cells were treated with doxycycline to induce the expression of Snail-HA protein for 2 days, and were then cross-linked in formaldehyde. The nuclei were isolated and sonicated using conditions resulting in prominent DNA fragments between 500 and 750 bp. Chromatin samples were immunoprecipitated with anti-HA antibody (Santa Cruz) and Protein G sepharose (GE Healthcare). DNA samples purified from the precipitated chromatin were used as PCR template. Primers for PCR reactions were: GLDC promoter: 5'-GCTGGGAAGAGGGTAGGAAG-3' (forward) and 5'-GCGCTCAACCAAGACACTC-3' (reverse); CDH1 promoter: 5'-GTGAACCCTCAGCCAATCAG-3' (forward) and 5'-TCACAGGTGCTTTGCAGTTC-3' (reverse); and GAPDH promoter: 5'-CGGCTACTAGCGGTTTTACG-3' (forward) and 5'-GCTGCGGGCTCAATTTATAG-3'.

Statistical analysis

Statistical analyses were performed with GraphPad Prism 6 software (GraphPad Software, La Jolla, CA, USA). Data are presented as means ± SD statistical significance between two groups was determined by unpaired t-test.


  Results Top


Overexpression of Snail induces epithelial-to-mesenchymal transition in A549 cells

To recapitulate the EMT process in tissue culture, we engineered the lentiviral-mediated, doxycycline (Dox)-inducible overexpression of Snail in the A549 cells, a lung carcinoma cell line that has been widely used as in vitro model for EMT.[25] As shown in [Figure 1], Dox treatment of the stable infectants, designated as the A549-Snail cells, strongly induced the expression of Snail protein in the nuclei, as examined by the Western blotting and immunohistochemistry. Importantly, Snail induction was accompanied by a concomitant reduction and elevation of E- and N-cadherin, the canonical epithelial and mesenchymal gene marker, respectively [Figure 1]a and [Figure 1]b. In addition, analyses of cell migratory capacity and growth kinetics demonstrated that Snail induction significantly increased cell migration [Figure 1]c and decreased cell proliferation [Figure 1]d. Thus, the A549-Snail cells exhibit the key characteristics of EMT on Snail induction.
Figure 1: Overexpression of Snail induces the epithelial–mesenchymal transition in A549 cells. A549-Snail cells, engineered to stably express Snail-HA under the control of a doxycycline (Dox)-inducible promoter, were grown in the absence or presence of 2 μg/ml Dox for 2 days. (a) The levels of Snail-HA, E-cadherin, N-cadherin, and GAPDH proteins were measured using Western blotting. (b) The levels of Snail-HA (red) and E-cadherin (green) were visualized using immunohistochemistry, and the nuclei were visualized using 4′,6-diamidino-2-phenylindole staining (blue). (c) The number of migratory cells was measured using Boyden chamber assay. ****P < 0.0001 (t-test). (d) A549-Snail cells were grown in the absence or presence of 2 μg/ml Dox for the indicated time, and the growth kinetics of the cells were measured using cell counting. ****P < 0.0001 (t-test)

Click here to view


Overexpression of Snail reprograms cellular metabolic backbone

Wondering if Snail induction triggers metabolic alteration, we measured the levels of numerous metabolites in the A549-Snail cells using liquid chromatography-coupled tandem mass spectrometry (LC-MS/MS) analysis. We observed that Snail induction reduced the levels of the nucleotide biosynthetic intermediates [[Figure 2], gray shades], suggesting that the metabolic demand for DNA replication is likely reduced when the proliferation is slowed in the Snail-overexpressing cells [Figure 1]d. Warburg effect denotes a prominent cancerous metabolic phenotype where proliferative cancer cells prefer partial catabolism of glucose in the cytoplasm to complete oxidation of the glucose carbon in the mitochondria.[26] We observed that Snail induction had negligible effects on the levels of the metabolites of the tricarboxylic acid (TCA) cycle [[Figure 2], green shades], suggesting that mitochondrial oxidation likely remains as a significant bioenergetics source in support of the cellular commitment to EMT. Interestingly, Snail induction imposed a biphasic change on the fluctuation of the glycolytic metabolites: dividing between glyceraldehyde 3-phosphate (GAP) and 3-phosphoglyceric acid (3PG), Snail induction significantly reduced the levels of the upstream glycolytic intermediates but had negligible effects on the levels of the downstream metabolites [[Figure 2], blue shades]. These suggest that distribution of glycolytic metabolites to the downstream metabolic branches, particularly to the one connecting at the junction with GAP/3PG, is dramatically reprogrammed.
Figure 2: Overexpression of Snail alters the fluctuations of the metabolites on the central metabolic pathways in A549 cells. A549-Snail cells were grown in the absence (black bars) or presence (white bars) of 2 mg/ml Dox for 2 days. The levels of the metabolites of glycolysis (blue shaded), tricarboxylic acid cycle (green shaded), and nucleotide synthesis (gray shaded) were measured using liquid chromatography-coupled tandem mass spectrometry/mass spectrometry analysis. *P < 0.05 (t-test)

Click here to view


Snail represses the expression of glycine decarboxylase

We then investigated the molecular basis for which Snail induces metabolic changes. As Snail is a transcription repressor, we performed gene expression profiling to identify the metabolic enzyme transcripts that decreased in the Snail-overexpressing cells. We found that the transcript encoding GLDC was among the top hits that decreased in response to Snail induction in the A549-Snail cells. GLDC is the rate-limiting component of the glycine cleavage system (GCS), a mitochondrial multimeric enzyme complex that breaks down glycine and concomitantly synthesizes a one-carbon unit, which is a crucial anabolic intermediate required for cell proliferation.[27] As GLDC is a metabolic oncogene previously reported in lung cancer,[19] and it locates on the serine/glycine metabolic shunt that diverts the glycolytic metabolites to the major anabolic pathways,[13] we characterized how Snail regulates the expression of GLDC in detail. We first examined the effects of Snail overexpression on the levels of the transcripts of each GCS components in two clones of the A549-Snail cells. We observed that overexpression of Snail significantly reduced the level of the GLDC transcript without affecting those of the other GCS components including AMT, GCSH, and DLD indicating that Snail selectively suppresses GLDC, the rate-limiting component of GCS [Figure 3]a. Consistently, a similar selective downregulation of GLDC at the protein level was also observed in the Snail-overexpressing cells and was not in the Dox-treated A549 parent cells, which helped to exclude the possibility of which Dox influences the expression of GLDC [Figure 3]b. Thus, our data demonstrated that Snail is a novel suppressor of the GLDC gene in lung cancer cells.
Figure 3: Snail selectively suppresses the expression of glycine decarboxylase. (a) Two clones of A549-Snail cells (clone #1 and #8) were grown in the absence (white bars) or presence (black bars) of 2 μg/ml Dox for 2 days. The levels of SNAI1, GAPDH, glycine decarboxylase, AMT, DLD, and GCSH mRNAs were measured using quantitative reverse transcription-polymerase chain reaction. The result is expressed as fold change relative to the level of the uninduced control. (b) A549-Snail or A549 parent cells were grown in the absence or presence of 2 mg/ml Dox for the indicated time. The levels of Snail-HA, glycine decarboxylase, AMT, DLD, and GAPDH proteins were measured using Western blotting. ****P < 0.0001 (t-test)

Click here to view


Transforming Growth Factor (TGF)-β is a cytokine that actively induces Snail and thus promotes EMT in A549 cells.[25] We, therefore, tested whether an inverse relationship between Snail and GLDC expression exists in the cells exposed to TGF-β. As expected, treating the cells with increasing amounts of TGF-β led to concomitant upregulation of Snail and downregulation of GLDC at both the transcript and protein levels in dose-dependent manners [Figure 4]. As cytokine signaling conveys the communication between tumor cells and microenvironment, these observations suggest that the newly identified TGF-β/Snail/GLDC axis may be necessary for tumor cells to adapt to the fluctuation of their microenvironment.
Figure 4: Transforming growth factor-b treatment led to a concomitant upregulation of Snail and downregulation of glycine decarboxylase expression in A549 cells. A549 cells were treated with the indicated amounts of transforming growth factor-b for overnight. (a) The levels of SNAI1, CDH1, glycine decarboxylase, AMT, GCSH, and DLD mRNAs were measured using quantitative reverse transcription-polymerase chain reaction. The result is expressed as fold change relative to the level of untreated control. *P < 0.05, ***P < 0.001, ****P < 0.0001 (t-test). (b) The levels of Snail, E-cadherin, glycine decarboxylase, and GAPDH proteins were measured using Western blotting

Click here to view


Snail binds to an evolutionarily conserved E-box motif and thereby inhibits the promoter of glycine decarboxylase

We then investigated the molecular mechanism of how Snail represses the expression of GLDC. As Snail belongs to a family of sequence-specific transcription repressor that recognizes the E-box motif with a consensus of 5'-CAGGTG-3',[5],[6] we searched for the possible Snail binding site(s) in the sequence of human GLDC gene. We found two perfectly matched E-box motifs in the promoter of GLDC that located at nucleotide positions -23 to -18 and -303 to -298, respectively, relative to the transcription start site. Multi-sequence alignment demonstrated that the proximal motif (positioned at -23 to -18) but not the distal one (positioned at -303 to -298) conserved in two rodent species [Figure 5]a. To test whether Snail interacts with these E-box motifs in vivo, we induced the expression of the Snail-HA protein in A549-Snail cells and performed the chromatin immunoprecipitation (ChIP) assay using anti-HA antibody. The ChIP analyses demonstrated that Snail interacted with the promoter of GLDC as well as the promoter of CDH1, a bona fide Snail target, and not with the promoter of GAPDH, an irrelevant negative control gene [Figure 5]b. As the interspace of the two GLDC E-box motifs only has 278 nucleotides that were not separable in the ChIP assay, we conclude that Snail interacts with at least one of the E-box motifs in the promoter of GLDC in A549 cells.
Figure 5: Snail suppresses the promoter of glycine decarboxylase gene by binding to an evolutionarily conserved proximal E-box motif. (a) glycine decarboxylase genomic sequences at the nucleotide positions from −43 to −2 (top, aligned with the indicated rodent sequences) and from −322 to −281 are exhibited. The E-box motifs are highlighted in red. (b) A549-Snail cells were grown in the presence of 2 mg/ml Dox for 2 days. The binding of Snail-HA to the promoters of glycine decarboxylase, CDH1, and GAPDH were measured using chromatin immunoprecipitation with the anti-HA antibody followed by polymerase chain reaction amplification with the gene-specific primers. The amplified products were visualized using agarose gel electrophoresis, and the sizes of each individual amplicon are labeled at the right. (c) A schematic representation of the luciferase reporter constructs. (d) HEK293 cells were transfected with the indicated plasmids for 2 days, and the luciferase activities of the cells were measured. *P < 0.05, **P < 0.01, ***P < 0.001 (t-test). (e) A549-Snail cells were transfected with the indicated reporter constructs and then grown in the absence (black bars) and presence (white bars) of 2 mg/ml Dox for 2 days, and the luciferase activities of the cells were subsequently measured. *P < 0.05 (t-test)

Click here to view


To examine whether and how Snail represses the activity of GLDC promoter, we generated a set of luciferase reporters that carry either the wild-type or the mutated GLDC promoter [Figure 5]c. The luciferase reporter assays demonstrated that Snail, but not the transcriptionally inactive SnailΔSNAG,[21] inhibited the promoter of GLDC as well as the promoter of CDH1 in a dose-dependent manner [Figure 5]d. In addition, mutagenesis analysis demonstrated that deletion of the proximal but not the distal E-box motif abolished the response of the GLDC promoter to Snail [Figure 5]e. Together, our studies identified a proximal E-box motif that mediates the binding and thereby the inhibition of Snail to the promoter of GLDC.

Knockdown of glycine decarboxylase inhibits the proliferation and promotes the migration of A549 cells

To examine how reduced expression of GLDC influences the cell behavior, we knocked down GLDC in A549 cells using small interference RNA (siRNA). The data demonstrated that transfection of the siRNA oligos specific for GLDC reduced the expression of GLDC protein by ~ 80%, and significantly decreased the proliferation and increased the migration of A549 cells [Figure 6]. Thus, reducing GLDC expression mimics the effects of Snail overexpression on the proliferation and migration of A549 cells.
Figure 6: Knockdown of glycine decarboxylase induces a shift of cellular function from proliferation to migration in A549 cells. A549 cells were transfected with either the scrambled (siControl) or glycine decarboxylase-specific siRNA oligos for 2 days. (a) The levels of glycine decarboxylase and GAPDH proteins were measured using Western blotting. (b) The number of migratory cells was measured using Boyden chamber assay. **P < 0.01 (t-test). (c) A549 cells were transfected with either the siControl or siGLDC oligos, and the growth kinetics of the transfected cells were measured using cell counting within the indicated time frame. **P < 0.01 (t-test)

Click here to view



  Discussion Top


As metabolic reprogramming and cellular plasticity are common features for the adaption of cells to the environment,[7],[8],[9] it is interesting to address whether these events are functionally coordinated. Concerning to tumor biology, it is mechanistically insightful and therapeutically useful to elucidate how metabolic reprogramming couples with the EMT program, which could help for developing novel therapeutic approaches against metastasis and chemoresistance through disrupting the metabolic basis for tumor plasticity.[28],[29] In this study, we examined how gain of Snail, a prototypic EMT transcription factor and an oncogenic protein, affects the fluctuation of the backbone metabolic pathways in lung cancer cells, and further identified that GLDC is a novel metabolic component integral to the Snail-induced EMT program.

To robustly examine the metabolic fluctuation in the process of EMT, we established an inducible EMT tissue culture model through ectopic expression of Snail under the control of doxycycline-inducible promoter in the lung cancer A549 cells. We demonstrated that induction of Snail robustly activated EMT, as manifested by the appearance of the critical molecular and functional signatures of EMT, including concomitant reduction of E-cadherin and elevation of N-cadherin, as well as increase of migration and decrease of proliferation in the Snail-expressing cells. Using targeted metabolomics analysis, we probed the influence of Snail overexpression on the metabolite fluctuation of the backbone metabolic pathways, those including nucleotide synthesis, glycolysis, and TCA cycle. We observed that the levels of nucleotide biosynthetic intermediates were uniformly decreased in the Snail-expressing cells, suggesting the metabolic demand for DNA synthesis possibly decreased when the cells commit to EMT and slow down proliferation. In contrast, the levels of TCA cycle metabolites remained unchanged in the Snail-expressing cells, indicating that mitochondrial oxidation is likely bioenergetically necessary for supporting the EMT-committed cells. Interestingly, a biphasic response in the levels of the glycolytic metabolites to the Snail induction was observed. After Snail induction, dividing at the interface between GAP and 3PG, the levels of the upstream glycolytic metabolites were decreased, yet the levels of the downstream ones remained unchanged. At present, we do not fully understand the logic behind this clear split in the alterations of the glycolytic metabolites in response to Snail induction. However, a clue may lie in the fact that in addition to feeding the TCA cycle, glycolysis diverts its metabolic flux to specific key branching pathways including the pentose phosphate pathway and the serine/glycine metabolic shunt.[13] We predict that the sharp divergence of the alterations of the glycolytic metabolites under the condition of Snail induction may reflect a significant rearrangement of a metabolic branch that connects with the glycolytic pathway at the interface of GAP and 3PG. Indeed, the serine/glycine metabolic shunt, a vital connector between glycolysis and key anabolic pathways, is right started using 3PG as metabolic substrate.[13] Thus, our metabolite analysis predicted that Snail significantly rearranges the serine/glycine metabolism in the EMT commitment of the lung cancer cells.

Interestingly, our gene expression profiling identified that the expression of GLDC, a key enzyme of the serine/glycine metabolic branch was significantly reduced in response to Snail induction. Our molecular characterization further defined that an evolutionarily conserved proximal E-box motif in GLDC gene mediates the binding and thereby the inhibition of Snail to the GLDC promoter. Also, we demonstrated that treatment of cells with TGFb, a canonical EMT-inducing cytokine, led to concomitant induction of Snail and suppression of GLDC in dose-dependent manners. Thus, we demonstrated that this newly identified Snail/GLDC axis is an integral component of the EMT program. GLDC is the rate-limiting enzyme of GCS that catabolizes glycine for the synthesis of critical anabolic substrate – the folate-mediated one-carbon unit.[27] GLDC is a metabolic oncogene sufficient to drive the proliferation of cancer cells.[19] For metabolic networking, GLDC, as a bottleneck enzyme, is essential for cancer cells to sustain the metabolic flux through the serine/glycine shunt.[30] In this sense, it is plausible that GLDC functions as a regulatory checkpoint that influences the activity of the serine/glycine branch and in turn, the distribution of glycolytic flux in response to Snail induction. Indeed, the functional significance of this newly identified Snail/GLDC axis is further supported by the observation that reduction of GLDC is sufficient to induce a switch of cellular phenotype from proliferation to migration in both the present [Figure 6] and previous[31] studies.

In summary, the present study has identified that GLDC is a novel metabolic target directly controlled by Snail. It further suggests that the Snail/GLDC regulatory axis, as an integral part of the EMT program, poses a significant impact on the diversion of glycolytic flux to biosynthetic pathways, and thereby the arrangement of global anabolic/catabolic activities in the process of EMT. However, the functional importance of this novel regulatory link in the context of tumor biology needs further investigation.

Financial support and sponsorship

This work is supported by the WSU faculty startup fund to J.W.

Conflicts of interest

There are no conflicts of interest.



 
  References Top

1.
Kalluri R, Weinberg RA. The basics of epithelial-mesenchymal transition. J Clin Invest 2009;119:1420-8.  Back to cited text no. 1
    
2.
Thiery JP, Acloque H, Huang RY, Nieto MA. Epithelial-mesenchymal transitions in development and disease. Cell 2009;139:871-90.  Back to cited text no. 2
    
3.
Kang Y, Massagué J. Epithelial-mesenchymal transitions: Twist in development and metastasis. Cell 2004;118:277-9.  Back to cited text no. 3
    
4.
Singh A, Settleman J. EMT, cancer stem cells and drug resistance: An emerging axis of evil in the war on cancer. Oncogene 2010;29:4741-51.  Back to cited text no. 4
    
5.
Batlle E, Sancho E, Francí C, Domínguez D, Monfar M, Baulida J, et al. The transcription factor snail is a repressor of E-cadherin gene expression in epithelial tumour cells. Nat Cell Biol 2000;2:84-9.  Back to cited text no. 5
    
6.
Cano A, Pérez-Moreno MA, Rodrigo I, Locascio A, Blanco MJ, del Barrio MG, et al. The transcription factor snail controls epithelial-mesenchymal transitions by repressing E-cadherin expression. Nat Cell Biol 2000;2:76-83.  Back to cited text no. 6
    
7.
Huang R, Zong X. Aberrant cancer metabolism in epithelial-mesenchymal transition and cancer metastasis: Mechanisms in cancer progression. Crit Rev Oncol Hematol 2017;115:13-22.  Back to cited text no. 7
    
8.
Jiang L, Xiao L, Sugiura H, Huang X, Ali A, Kuro-o M, et al. Metabolic reprogramming during TGFβ1-induced epithelial-to-mesenchymal transition. Oncogene 2015;34:3908-16.  Back to cited text no. 8
    
9.
Li L, Li W. Epithelial-mesenchymal transition in human cancer: Comprehensive reprogramming of metabolism, epigenetics, and differentiation. Pharmacol Ther 2015;150:33-46.  Back to cited text no. 9
    
10.
Warburg O. On the origin of cancer cells. Science 1956;123:309-14.  Back to cited text no. 10
    
11.
Dong C, Yuan T, Wu Y, Wang Y, Fan TW, Miriyala S, et al. Loss of FBP1 by snail-mediated repression provides metabolic advantages in basal-like breast cancer. Cancer Cell 2013;23:316-31.  Back to cited text no. 11
    
12.
Kim NH, Cha YH, Lee J, Lee SH, Yang JH, Yun JS, et al. Snail reprograms glucose metabolism by repressing phosphofructokinase PFKP allowing cancer cell survival under metabolic stress. Nat Commun 2017;8:14374.  Back to cited text no. 12
    
13.
Locasale JW. Serine, glycine and one-carbon units: Cancer metabolism in full circle. Nat Rev Cancer 2013;13:572-83.  Back to cited text no. 13
    
14.
Amelio I, Cutruzzolá F, Antonov A, Agostini M, Melino G. Serine and glycine metabolism in cancer. Trends Biochem Sci 2014;39:191-8.  Back to cited text no. 14
    
15.
Jain M, Nilsson R, Sharma S, Madhusudhan N, Kitami T, Souza AL, et al. Metabolite profiling identifies a key role for glycine in rapid cancer cell proliferation. Science 2012;336:1040-4.  Back to cited text no. 15
    
16.
Wang J, Alexander P, Wu L, Hammer R, Cleaver O, McKnight SL, et al. Dependence of mouse embryonic stem cells on threonine catabolism. Science 2009;325:435-9.  Back to cited text no. 16
    
17.
Possemato R, Marks KM, Shaul YD, Pacold ME, Kim D, Birsoy K, et al. Functional genomics reveal that the serine synthesis pathway is essential in breast cancer. Nature 2011;476:346-50.  Back to cited text no. 17
    
18.
Nikiforov MA, Chandriani S, O'Connell B, Petrenko O, Kotenko I, Beavis A, et al. A functional screen for myc-responsive genes reveals serine hydroxymethyltransferase, a major source of the one-carbon unit for cell metabolism. Mol Cell Biol 2002;22:5793-800.  Back to cited text no. 18
    
19.
Zhang WC, Shyh-Chang N, Yang H, Rai A, Umashankar S, Ma S, et al. Glycine decarboxylase activity drives non-small cell lung cancer tumor-initiating cells and tumorigenesis. Cell 2012;148:259-72.  Back to cited text no. 19
    
20.
Meerbrey KL, Hu G, Kessler JD, Roarty K, Li MZ, Fang JE, et al. The pINDUCER lentiviral toolkit for inducible RNA interference in vitro and in vivo. Proc Natl Acad Sci U S A 2011;108:3665-70.  Back to cited text no. 20
    
21.
Lin Y, Wu Y, Li J, Dong C, Ye X, Chi YI, et al. The SNAG domain of snail1 functions as a molecular hook for recruiting lysine-specific demethylase 1. EMBO J 2010;29:1803-16.  Back to cited text no. 21
    
22.
Wang J, Pantopoulos K. Conditional derepression of ferritin synthesis in cells expressing a constitutive IRP1 mutant. Mol Cell Biol 2002;22:4638-51.  Back to cited text no. 22
    
23.
Chen G, Zhou G, Aras S, He Z, Lucas S, Podgorski I, et al. Loss of ABHD5 promotes the aggressiveness of prostate cancer cells. Sci Rep 2017;7:13021.  Back to cited text no. 23
    
24.
Wu J, Zhang Y, Wiegand R, Wang J, Bepler G, Li J, et al. Quantitative analysis of intracellular nucleoside triphosphates and other polar metabolites using ion pair reversed-phase liquid chromatography coupled with tandem mass spectrometry. J Chromatogr B Analyt Technol Biomed Life Sci 2015;1006:167-78.  Back to cited text no. 24
    
25.
Kasai H, Allen JT, Mason RM, Kamimura T, Zhang Z. TGF-beta1 induces human alveolar epithelial to mesenchymal cell transition (EMT). Respir Res 2005;6:56.  Back to cited text no. 25
    
26.
Vander Heiden MG, Cantley LC, Thompson CB. Understanding the warburg effect: The metabolic requirements of cell proliferation. Science 2009;324:1029-33.  Back to cited text no. 26
    
27.
Kikuchi G. The glycine cleavage system: Composition, reaction mechanism, and physiological significance. Mol Cell Biochem 1973;1:169-87.  Back to cited text no. 27
    
28.
Morandi A, Taddei ML, Chiarugi P, Giannoni E. Targeting the metabolic reprogramming that controls epithelial-to-mesenchymal transition in aggressive tumors. Front Oncol 2017;7:40.  Back to cited text no. 28
    
29.
Sánchez-Martínez R, Cruz-Gil S, Gómez de Cedrón M, Álvarez-Fernández M, Vargas T, Molina S, et al. A link between lipid metabolism and epithelial-mesenchymal transition provides a target for colon cancer therapy. Oncotarget 2015;6:38719-36.  Back to cited text no. 29
    
30.
Kim D, Fiske BP, Birsoy K, Freinkman E, Kami K, Possemato RL, et al. SHMT2 drives glioma cell survival in ischaemia but imposes a dependence on glycine clearance. Nature 2015;520:363-7.  Back to cited text no. 30
    
31.
Zhuang H, Li Q, Zhang X, Ma X, Wang Z, Liu Y, et al. Downregulation of glycine decarboxylase enhanced cofilin-mediated migration in hepatocellular carcinoma cells. Free Radic Biol Med 2018;120:1-2.  Back to cited text no. 31
    


    Figures

  [Figure 1], [Figure 2], [Figure 3], [Figure 4], [Figure 5], [Figure 6]



 

Top
 
 
  Search
 
Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
Access Statistics
Email Alert *
Add to My List *
* Registration required (free)

 
  In this article
Abstract
Introduction
Materials and Me...
Results
Discussion
References
Article Figures

 Article Access Statistics
    Viewed845    
    Printed126    
    Emailed0    
    PDF Downloaded167    
    Comments [Add]    

Recommend this journal


[TAG2]
[TAG3]
[TAG4]