- Open Access
Defining a role for lung function associated gene GSTCD in cell homeostasis
Respiratory Research volume 20, Article number: 172 (2019)
Genome wide association (GWA) studies have reproducibly identified signals on chromosome 4q24 associated with lung function and COPD. GSTCD (Glutathione S-transferase C-terminal domain containing) represents a candidate causal gene in this locus, however little is currently known about the function of this protein. We set out to further our understanding of the role of GSTCD in cell functions and homeostasis using multiple molecular and cellular approaches in airway relevant cells. Recombinant expression of human GSTCD in conjunction with a GST activity assay did not identify any enzymatic activity for two GSTCD isoforms questioning the assignment of this protein to this family of enzymes. Protein structure analyses identified a potential methyltransferase domain contained within GSTCD, with these enzymes linked to cell viability and apoptosis. Targeted knockdown (siRNA) of GSTCD in bronchial epithelial cells identified a role for GSTCD in cell viability as proliferation rates were not altered. To provide greater insight we completed transcriptomic analyses on cells with GSTCD expression knocked down and identified several differentially expressed genes including those implicated in airway biology; fibrosis e.g. TGFBR1 and inflammation e.g. IL6R. Pathway based transcriptomic analyses identified an over-representation of genes related to adipogenesis which may suggest additional functions for GSTCD. These findings identify potential additional functions for GSTCD in the context of airway biology beyond the hypothesised GST activity and warrant further investigation.
Lung function forms a key diagnostic criteria for chronic obstructive pulmonary disease (COPD), a leading cause of morbidity and mortality. A greater understanding of genetic variants associated with lung function and COPD may provide new insight into disease mechanisms and provide new opportunities for therapeutic intervention. In 2010, two large consortia for respiratory research: SpiroMeta consortium (n = 20,288 individuals of European ancestry) and Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium (n = 21,209 individuals of European ancestry) conducted the first in a series of meta-analyses of GWA studies which identified a selection of loci associated with lung function, the most significant of which were novel variants at locus 4q24 [1, 2].
Later studies suggested two independent signals in this region [3, 4] including variants at the GSTCD and the NPNT gene. Importantly, the genetic effects appear to be independent of both smoking and disease status . More recent studies replicated association with variants spanning GSTCD and forced expiratory volume in one second (FEV1), forced vital capacity (FVC) and COPD [5,6,7,8,9,10,11,12]. Furthermore, these variants have recently been associated with FEV1 in children and with growth, measured as bronchial responsiveness development , thus suggesting that GSTCD may have an early life effect. Therefore, GSTCD represents a potential candidate/casual gene in this region and may functionally contribute to the development or severity of COPD.
In our previous work we demonstrated that GSTCD mRNA is expressed in multiple airway relevant cell types and total lung mRNA expression of GSTCD correlated with lung function . GSTCD protein expression decreased between the pseudoglandular and canalicular stages in human lung suggesting a potential role in development. Little is known about the function of GSTCD in cells and tissues and based on homology it has been designated a potential member of the Glutathione S-Transferase (GST) family of enzymes due to a shared C-terminal α-helical domain . GST enzymes carry out cellular detoxification, by conjugating glutathione to a variety of endogenous targets . The function of GSTCD particularly in airway cells remain to be determined.
To elucidate the role of GSTCD in cell function and homeostasis we used multiple approaches including; recombinant expression (gain of function) combined with GST activity assessment to define the activity of GSTCD. Similarly, to test the hypothesis that GSTCD is required for normal cell homeostasis we used targeted knockdown (loss of function) in primary human airway epithelium followed by analyses of proliferation, apoptosis and Reactive Oxygen Species (ROS) quantification. Importantly, in parallel we used a hypothesis free approach to identify functions of GSTCD by examining global transcriptomic changes in human bronchial epithelial cells (HBECs) with targeted knockdown of GSTCD.
Overall, we demonstrate that GSTCD does not have GST activity suggesting yet undiscovered functions of this uncharacterized protein. Our findings using multiple approaches suggests a role in primary human cell homeostasis influencing cell viability including also a regulatory function influencing several genes related to airway biology e.g. Transforming growth factor β (TGFB) and Interleukin 6 (IL6) signalling and genes related to adipogenesis.
GST activity assay
The SensoLyte® GST Activity Assay Kit (AnaSpec) was used to determine the GST activity of cell hosts; CHO-K1, Human airway smooth muscle (HASM) and human bronchial epithelial (HBEC) cells engineered to express GSTCD or GSTM5 (positive control) in 96 well plate format as described by the manufacturer. Cells were maintained in culture as previously described; CHO-K1 , HASM , HBEC . Briefly, cells were transfected with plasmids pIRES-GSTCDT1, pIRES-GSTCDT2 (two isoforms of GSTCD, variant 1 NP_001026890.2 and GSTCD variant 2 NP_079027.2 where variant 2 contains a truncated exon 2 leading to an 87amino acid shorter protein), pIRES-Empty Vector (EV, negative control) or pcDNA-GSTM5 (positive control) as described  and after 48 h transfection the enzymatic reaction was measured on a Flexstation®3 (Molecular Devices).
Protein prediction modelling of GSTCD
Three protein prediction servers (I-TASSER, SWISS-MODEL and Phyre2). These structure modelling servers were integrated for homology for both GSTCD variants; NP_001026890.2 and NP_079027.2 with proteins of known structure and function. Three primary template based protein structure modelling servers were employed to infer potential 3D protein structures and function of GSTCD based on sequence homology  (Iterative Threading Assembly Refinement (I-TASSER) (threading method), SWISS-MODEL and Phyre2 (comparative modelling methods)). Sequences for both published human GSTCD protein variant sequences (NCBI references: GSTCD variant 1 NP_001026890.2 and GSTCD variant 2 NP_079027.2) were input into the servers and analysed by comparing results from the different protein prediction servers alongside results for the positive control Glutathione S-transferase Mu 5 (NCBI reference: NP_000842.2).
GSTCD SiRNA experiments
HBECs were grown as described  and knockdown of GSTCD was achieved by transfection with siRNAs as described . Three pre-designed sequences (A, B and C) targeted to different regions of the GSTCD gene (ORIGENE SR312613) were used to reduce expression of GSTCD and a scrambled control siRNA sequence was included for reference. Optimisation of the siRNA concentration transfected into HBECs using INTERFERin® transfection reagent (Polyplus Transfection, 409–10), was carried out using 0.1 nM, 1 nM and 10 nM for each individual SiRNA A, B, or C and a combination of all 3 for 48 h prior to assessing GSTCD mRNA levels using qPCR. Two of the 3 siRNAs were chosen to take forward (to provide confidence and account for off target effects) and a time course (12, 24, 48 and 72 h) was used to optimise the reduction in GSTCD mRNA. Two of the 3 siRNAs were chosen to take forward (to provide confidence and account for off target effects) at a concentration of 1 nM siRNA. Forty-Eight hours post transfection RNA for Taqman and protein for Western blotting was extracted from these cells as described below. The GSTCD Pre-Developed TaqMan® Assay Reagent (PDAR) was chosen across Exons 5 and 6 of GSTCD and an 18S PDAR was used as the housekeeping control for Taqman.
Cell experiments were set up in 6 well culture plates. At the specified time points cells were either used for RNA or protein extraction by the following methods.
The GenElute RNA extraction kit (Sigma) lysis solution was prepared according to protocol with the addition of Beta-Mercaptoethanol. Two wells of a six well plate per condition were washed in ice cold PBS followed by the addition of 600ul lysis solution, cells were scraped off and transferred into an Eppendorf. This was frozen at -80 °C until the RNA extraction was carried out at a later date.
The protein lysis extraction buffer was made up of 1.5 ml unsupplemented cytobuster (cytobuster is one tablet dissolved in 10 ml of cytobuster liquid), 15ul Benzone Nuclease, 1.5ul Dithiothreitol and 3ul Pepstatin A. Cells were washed in ice cold phosphate buffered saline and 200ul of protein lysis buffer was added into one well before cells were scraped off the plastic and this was then transferred into a second well of cells for lysis. This was then placed in an Eppendorf and frozen at -80 °C until the protein was used for quantification and Western blotting. Two polyclonal primary antibodies against GSTCD were used at dilutions of 1:500 and 1:1000 (Proteintech, 17,502–1-AP and Abnova, H00079807-B01) with β-actin antibody (Abcam, ab8227) diluted 1:5000 used as a control in the Western blotting.
Cell proliferation, number and apoptosis assays
After GSTCD siRNA knockdown in HBECs the cell proliferation rate, total cell number and apoptosis were quantified at different time intervals using the CyQUANT® NF proliferation assay, Click-iT® EdU microplate assay and Apoptosis was measured using the In situ cell death detection kit (Roche).
The CyQUANT® NF proliferation assay measures total cell number utilising a cell permeable fluorescent DNA binding dye applied to the cells at the experimental end-point. Click-iT® EdU microplate assay labels actively proliferating cells by incorporating the thymidine analogue 5-ethynyl-2-deoxyuridine (EdU) into DNA during cell replication, followed by antibody based signal amplification resulting in a fluorescence reading. Apoptosis was measured using the In situ cell death detection kit (Roche). In this assay the green fluorescent is an indicator of broken down DNA strands. The HBECs were seeded on 8-well chamber slides and transfected with the siRNA as previously described, cells were then fixed and the ratio of green apoptotic cells to the total number of blue DAPI stained cells were compared.
RNA integrity (RIN) analysis was carried out on the Agilent 2100 Bioanalyser to check quality (RIN > 9). Library preparation and sequencing was performed by Deep Seq, University of Nottingham. Paired end sequencing was performed using the Illumina NextSeq500 and generated 60 million paired end reads (75 bp) for each sample. Analyses of the RNA-seq data used the previously developed pipeline  described briefly here. Trimmed reads were aligned to the reference genome (human genome hg19) using TopHat v2.0.12  adapter trimming was achieved using Scythe© (https://github.com/vsbuffalo/scythe) and “Quality Trimming” was performed using Sickle (https://github.com/najoshi/sickle). Reads underwent quality control analysis before and after trimming using FastQC© v0.10.1 (Simon Andrews, Babraham Bioinformatics). Differential Gene Expression Analysis was performed using the Cufflinks suite . Briefly, alignment files were run through Cufflinks for transcriptome assembly. The assemblies were merged using Cuffmerge. Differential expression by Cuffdiff with a false discovery rate (FDR) of 5%. The inclusion of two siRNA targeting GSTCD provided an initial filter of results and we focussed to genes showing differential expression in both siRNA. Finally to provide greater robustness to the RNA-seq differential expression analysis we added a series of further filters including continuity in fragments Per Kilobase of transcript per Million mapped reads (FPKM) values across triplicates, which left genes significantly altered in the GSTCD knockdown compared to the scrambled control levels of expression only.
Gene set enrichment pathway analysis
Using the Gene set Enrichment Analysis (GSEA) from the Molecular signatures database we used the Curated gene set (C2) comprising 4738 gene sets and the Hallmark gene set (H) comprising 50 pathways. An FDR of 25% (FDR q = 0.25) indicates that the result is likely to be valid 3 out of 4 times, which is reasonable in the setting of exploratory discovery where one is interested in finding candidate hypothesis to be further validated as a results of future research [23, 24].
Reactive oxygen species (ROS) assay
The Oxiselect™ In Vitro ROS Assay Kit (Life Technologies) was used to measure the total free radical activity in supernatants taken from the GSTCD siRNA transfected HBEC experiments. Supernatants were plated in triplicate in 96 well plates and mixed with a catalyst to accelerate the oxidative reaction. A fluorescent probe (DCF-DiOxyQ) was added and the plate analysed on a Flexstation®3, the free radical content is determined by using a standard curve. The experiment was carried out on both fresh and frozen supernatants and fresh homogenised cells.
Data were analysed using GraphPad Prism 6 software (GraphPad Software, Inc.). The Kruskal-Wallis statistic was performed and median and inter-quartile range shown on the graphs. RNA seq differential Gene Expression Analysis was performed using the Cufflinks suite . For all statistical analysis described above, a p-value of <0.05 was considered to be significant.
GSTCD does not demonstrate classical GST activity
We expressed recombinant GSTCD in a number of cell hosts including CHO-K1, HASM and HBEC to determine if the GSTCD protein had GST activity. Two vectors expressing different isoforms of human GSTCD were transfected into two human airway cell types: airway smooth muscle (HASM) and bronchial epithelial cells (HBECs) alongside transfection of the positive control GST Mu5 (GSTM5). CHO-K1 which have endogenous GST activity was also transfected with the GSTCD plasmids. The two GSTCD isoforms differ in exon 2 (variant 2 is truncated) resulting in proteins of 633 amino acids and 546 amino acids respectively for variant 1 and 2 . The Sensolyte GST activity assay was performed on these recombinant cells, results revealed no discernible change in GST activity in either GSTCD variant 1 or 2 cells (relative to empty vector and transfection reagent only negative controls) (Fig. 1). In contrast, recombinant GSTM5 cells, a well characterised GST enzyme resulted in 2–3 fold increased GST activity relative to the negative controls (p = 0.02 in HASM). Based on these data the two reported protein isoforms of GSTCD do not have atypical GST activity in three independent cell hosts.
GSTCD protein structure prediction and nucleotide homology searches suggest additional protein functions
To address the lack of information regarding potential GSTCD function, homologous protein sequences were sought using three protein prediction servers I-TASSER, SWISS-MODEL and Phyre2. Homologous matches to the GSTCD protein sequence were searched with results indicating a high homology to methyltransferase enzymes across the servers (Table 1). Sequence homology is predominantly located across the predicted methyltransferase domain (variant 1: 423-541aa and variant 2: 336-454aa) as opposed to the GST C-terminal α-helical domain (variant 1: 251-332aa and variant 2: 164-245aa) and this is consistent throughout the top homologous matches for each server. Therefore these data provide initial insight that GSTCD may have additional protein functions, with methyltransferase enzymes linked to cell viability and apoptosis.
Targeting GSTCD by RNAi significantly attenuates both mRNA and protein expression in primary bronchial epithelial cells
To begin to understand the role of GSTCD in the cell we optimised GSTCD knock down in HBEC using the siRNA technique. Optimal conditions for maximal knock down were 1 nM siRNA incubated for 48 h and resulted in 88% (siRNA B) and 90% (C) decrease in GSTCD mRNA (Fig. 2), with 86% (siRNA A, data not shown). SiRNA B and C were taken forward in further experiments to help distinguish between true and off target effects.
Semi-quantified Western blotting focussed to experiments using the siRNA B and C demonstrated GSTCD expression was reduced by 63% (siRNA B) and 74% (siRNA C) relative to untransfected control lysates (siRNA B p < 0.0036 and C p < 0.036, Kruskal Wallis. Figure 2). Therefore, both siRNA B and siRNA C effectively reduced GSTCD mRNA and protein expression in HBECs providing a platform for functional analyses.
Targeted GSTCD knock down does not influence cell proliferation but is associated with reduced numbers of bronchial epithelial cells when cultured over 72 h
To assess potential effects of GSTCD knock-down on cell growth two assays were utilised to investigate actively proliferating cells (Click-iT® EdU assay) and total cell number (CyQUANT® NF assay). GSTCD expression was knocked-down in HBECs as previously described over a 24, 48 and 72 h. No discernible changes in levels of actively proliferating cells were observed in either siRNA GSTCD knock-down sample relative to untransfected or scrambled controls (Fig. 3a). However total cell number was reduced in both siRNA B and C across time relative to untransfected or scrambled siRNA treated hBECs, with siRNA C displaying the greatest magnitude of effect (Fig. 3b). At 72 h total cell number was significantly reduced compared to scrambled siRNA for siRNA C (p < 0.02) when results are normalised to untransfected cells.
Targeted GSTCD knockdown does not have any impacts on apoptosis rate in bronchial epithelial cells
We wanted to determine if the reduction in total cell number observed in the human cell system could be explained by increased apoptosis in the GSTCD knockout cells. Figure 4 shows that there is no statistically significant difference in apoptosis levels between cells with GSTCD knocked down and the untransfected, transfection reagent alone or scrambled siRNA treated cells. There was a trend toward increase in apoptosis in siRNA B > siRNA C which inversely correlates with the effects of these siRNA on cell numbers. However, overall these data suggest decreased GSTCD expression has no significant effect on apoptosis in airway epithelial cells.
Targeted GSTCD knockdown in combination with transcriptomics identifies novel potential functions in bronchial epithelial cells
In order to identify novel functions of GSTCD in the cells and new understanding we completed a series of transcriptomic experiments using bronchial epithelial cells with GSTCD targeted knockdown. The RNA-seq profiling gave over 50 million aligned paired reads per sample to the hg19 genome build. A FDR of 5% was applied which identified 41 genes showed significant differential mRNA expression levels following GSTCD knockdown using either siRNA B or siRNA C compared with scrambled and untransfected gene expression providing an initial focus (Fig. 5). Further refinement of differentially expressed genes to reproducible effects across each biological replicate identified 17 priority genes altered transcription post GSTCD knockdown compared to the scrambled control levels (Table 2).
Reassuringly, GSTCD was the most significantly reduced mRNA, then the gene with the next greatest magnitude of change was; Lymphocyte cytosolic protein 1 (LCP1) with a 27 and 17 fold induction in mRNA in siRNA B and C respectively. In this modest number of genes identified several have been previously associated with airway biology and disease including e.g. TGFBR1, the receptor for TGFB1 involved in fibrosis and IL6R a cytokine receptor implicated in airway disease e.g. asthma. A description of these top 17 genes can be found in Table 3. To provide further reassurance of our findings we investigated the mRNA levels of three abundant mRNA in the original HBEC donor used for RNA seq analysis and also in a second independent donor. The three genes selected were; GPR176, C12orf49 and ETS1 (Fig. 6). In the original donor used for the RNA seq experiments taqman significantly confirmed knockdown of expression in GPR176 and ETS1 (p = 0.0087 and p = 0.0016 respectively Kruskal-Wallis) but was not significant for the C12orf49 gene expression. In the second donor none of these genes showed a significant differential gene expression although the GSTCD expression by taqman was significant for both donor1 and donor2 (p = 0.009 and p = 0.008 respectively). This lack of replication in the second donor may be due to the increased heterogeneity observed in this dataset.
Pathway based analyses of transcriptomic data implicate a role for GSTCD in multiple pathways including; oxidative phosphorylation/reactive oxygen species pathways and adipogenesis
Using the Gene set Enrichment Analysis (GSEA) from the Molecular signatures database we searched the Curated gene set (C2) and the Hallmark gene set (H) pathways. These analyses identified 29 significantly upregulated pathways which were mainly Cancer focussed but also Adipogenesis related and a Reactive Oxygen species (ROS) pathway involved in insulin resistance. Eight pathways were significantly upregulated in the H pathway analysis and no pathway showed any significant downregulation at this 25% FDR (q-value < 0.25) significance level. Table 4 shows results from the H pathway analysis with the number of genes in each pathway and the percent of those genes upregulated in the knockdown cells. Adipogenesis and ROS pathways were significantly upregulated (FDR 25%).
GSTCD knockdown and ROS handling in bronchial epithelial cells in vitro
Based on the initial observation that the reactive oxygen species pathway is upregulated in human bronchial epithelial cells with targeted GSTCD based on RNA-seq data we wanted establish whether this knockdown could alter the ROS activity. To do this we used the Oxiselect™ ROS activity assay. Supernatants from fresh, frozen and directly from cells homogenised after 48 h transfection with the GSTCD siRNA were analysed (Fig. 7, no statistics were performed as it was n = 1 for each condition). There was no difference in ROS activity in either the cell supernatants or the cell homogenates from cells with or without GSTCD knockdown.
We set out to further our basic understanding of the still largely uncharacterised protein, GSTCD in the context of a potential role in the airways as genetic variants spanning GSTCD have reproducibly been associated with lung function and COPD in multiple GWAS. To achieve this, we used overlapping and complementary approaches including producing the recombinant protein, targeting GSTCD by siRNA followed by cell biology outcomes and transcriptomic analyses to identify novel functions. Overall we demonstrate that GSTCD does not have measurable GST activity suggesting additional unidentified protein functions, that GSTCD is required for cell homeostasis with reduction of the protein level associated with reduced cell numbers in vitro. Finally, we show that targeting GSTCD expression has a robust effect on a modest number of genes including genes that may influence airway cell biology e.g. TGFB1 and IL6 signalling and the more novel finding of a role in adipogenesis. These data provide additional insight into the role of GSTCD in the cell and highlights potential functions in the context of respiratory disease warranting further investigation.
The predicted GST function of GSTCD in part contributed to initial interest in this gene as a candidate/causal gene underlying the association signal with lung function on chromosome 4 as GST enzymes have a detoxification role in the airways . However, investigation of classical GST activity in a GSTCD over-expression system revealed no change in GST activity whereas over-expression of GSTM5 resulted in 2–3 times increased GST expression relative to the negative controls. This finding is intriguing and while we acknowledge the limitation of our study that we did not assess all GST activity, suggests that the assignment of protein family based on initial homology may be in error. Interestingly, GSTCD appears to have only one of the two domains characteristic of the GST family of enzymes  (C-terminal α-helical domain) and lacks the N-terminal thioredoxin-type domain. Furthermore, glutathione is thought to bind GST enzymes between the N- and C-terminal domains, therefore indicating that both domains are necessary for GST activity and that GSTCD may simply have GST-like activity . The more thorough structural analyses completed in the current study extends and complements our previous work that suggested GSTCD shares similar motifs with methyltransferase enzymes, GST enzymes and Eukaryotic Elongation Translation Factor 1 epsilon 1 (EEFE1/AIMP3); a component of the aminoacyl tRNA synthase complex . In the current study potential methyl transferase domain was highlighted and warrants further investigation. Methyltransferases have been implicated in cell homeostasis including; e.g. histone methyltransferase (NSD3) which has a role in cell viability and apoptosis  and carboxyl methyltranferase acrivity modulates endothelial cell apoptosis .
In order to formally assess the potential role of GSTCD in cell homeostasis including cell viability and apoptosis we developed siRNA targeted knockdown in primary human bronchial epithelial cells. This approach effectively reduces GSTCD expression at both the mRNA and protein levels, hence this is a valuable method to study effects of minimal GSTCD levels in a human in vitro model. We then looked at cell proliferation and viability under these conditions. The results suggest a possible role for GSTCD in determining cell number when assessing total cell number which was significantly reduced in cells targeted by GSTCD siRNA. However when proliferation was assessed in parallel these data do not indicate a role in cell proliferation for GSTCD, instead potentially suggesting a role in cell viability. To provide further insight we investigated the effect of targeting GSTCD on apoptosis in these cells. Knockdown of GSTCD did lead to an increase in apoptosis in bronchial epithelial cells albeit this did not reach statistical significance and there was heterogeneity in the data. Interestingly, the increase in apoptosis in cells treated with GSTCD siRNA was more prominent in the siRNA C treated cells which mirrored the more pronounced effects of this siRNA on cell number. However, we cannot exclude that other mechanisms are involved but these data would provide some tentative support for potential link to cell viability and apoptosis.
To provide greater insight into GSTCD function we also completed transcriptomic analyses on primary bronchial epithelial cells treated with two GSTCD siRNA. In these analyses we focussed on genes identified that are differentially expressed following knockdown in both siRNA and across biological replicates which gave a priority list of 17 genes (Table 2). The identification of only 41 genes influenced by knockdown and then the prioritisation to 17 highlights the potentially very limited influence of GSTCD on global gene expression.
Lymphocyte cytosolic protein 1, LCP1 was the most significantly reduced gene when GSTCD is reduced, this gene has been identified by GWAS for non-alcoholic fatty acid liver disease (NFALD) and mRNA from biopsies show a 300% increase in mRNA in this disease compared with control livers . Similarly GPR176 a Gz-linked orphan G-protein coupled receptor which represses cAMP signalling in an agonist-independent manner in the brain , had reduced levels which would potentially have a significant effect on cell signalling and is reduced when GSTCD is reduced. The top 6 genes altered by knockdown of GSTCD are also reduced included ETS1, a transcription factor for the activation or repression of numerous genes involved in stem cell development, cell senescence and death and tumorigenesis [42, 43]. AKAP12 a protein which directs the activity of protein kinase A by tethering the enzyme near its physiologic substrates also has reduced expression, it has been shown to mediate barrier functions in fibrotic scarring of the central nervous system . GPD1L a protein found in the cytoplasm associated with the plasma membrane where it binds to the sodium channel SCN5A is however upregulated with a reduction of GSTCD . Interestingly, also in this list of priority genes were genes already linked to respiratory disease including; TGFBR1 and IL6R, two receptor linked to fibrosis and inflammation in the airways respectively [33, 36] see Table 3.
Gene set Enrichment Analysis (GSEA) identified eight pathways that showed significant upregulation with no pathways downregulated (Table 4). A number of these pathways (Adipogenesis, Bile Acid metabolism and Fatty acid metabolism) are involved in fat emulsification, metabolism, storage and removal. The finding that when GSTCD is targeted there are alterations in multiple genes related to adipogenesis (confirmed by both siRNA) is of interest as GSTCD−/− mice have been shown to have abnormal body fat amount (International Mouse Phenotyping Consortium). The link between adipose tissue and chronic lung disease is unclear at this time, however there is accumulating evidence for a causative role including adipocyte derived mediators such as leptin in obstructive lung disease and a link between cardiovascular disease and COPD . Again in the GSTCD−/− mice there was abnormal electrocardiogram measurement providing a cardiovascular connection in vivo.
The Reactive oxygen species (ROS) pathway being highlighted in the RNA-seq pathway analyses is also of interest with respect to lung disease as Asthma and COPD are characterized by systemic and chronic localized inflammation and oxidative stress. Sources of oxidative stress arise from the increased burden of inhaled oxidants, as well as elevated amounts of ROS released from inflammatory cells. Increased levels of ROS, either directly or via the formation of lipid peroxidation products may play a role in enhancing the inflammatory response in both asthma and COPD (Oxidative stress in asthma and COPD). To specifically address the potential role of GSTCD in ROS pathways again we targeted GSTCD using siRNA, however we were unable to identify a significant effect.
In conclusion, we provide new insight into the largely uncharacterised protein, GSTCD that is a candidate gene for lung function/COPD. GSTCD has no classical GST activity and protein structure analyses suggest methyltransferase homology. Reduction of GSTCD expression in bronchial epithelial cells by siRNA suggests a role in cell viability. Transcriptomic analyses post GSTCD reduction identified several genes and pathways that may be functionally relevant for the role of GSTCD including genes in pathways implicated in fibrosis and inflammation in the airways. Pathway based approaches identified a role for GSTCD particularly in adipogenesis which complements well GSTCD−/− mouse data and warrants further investigation for the potential causative role between GSTCD expression, adipose tissue inflammation and COPD where data already exists for a potential causative link.
Availability of data and materials
The majority of data generated in this analysis is presented in this published article.
The RNA seq datasets are available from corresponding author on reasonable request.
Curated gene set 2
Cohorts for Heart and Aging Research in Genomic Epidemiology
Chronic obstructive pulmonary disease
False discovery rate
- FEV1 :
Forced expiratory volume in one second
fragments Per Kilobase of transcript per Million mapped reads
Forced vital capacity
Gene set Enrichment Analysis
Glutathione S-transferase C-terminal domain containing
Genome wide association studies
Hallmark gene set
Human airway smooth muscle
Human bronchial epithelial cell
Iterative Threading Assembly Refinement
Pre-Developed TaqMan® Assay Reagent
Reactive oxygen species
Transforming growth factor β
Hancock DB, Eijgelsheim M, Wilk JB, Gharib SA, Loehr LR, Marciante KD, et al. Meta-analyses of genome-wide association studies identify multiple loci associated with pulmonary function. Nat Genet. 2010;42(1):45–52.
Repapi E, Sayers I, Wain LV, Burton PR, Johnson T, Obeidat M, et al. Genome-wide association study identifies five loci associated with lung function. Nat Genet. 2010;42(1):36–44.
Soler Artigas M, Wain LV, Miller S, Kheirallah AK, Huffman JE, Ntalla I, et al. Sixteen new lung function signals identified through 1000 genomes project reference panel imputation. Nat Commun. 2015;6:8658.
Wain LV, Shrine N, Artigas MS, Erzurumluoglu AM, Noyvert B, Bossini-Castillo L, et al. Genome-wide association analyses for lung function and chronic obstructive pulmonary disease identify new loci and potential druggable targets. Nat Genet. 2017;49(3):416–25.
Castaldi PJ, Demeo DL, Hersh CP, Lomas DA, Soerheim IC, Gulsvik A, et al. Impact of non-linear smoking effects on the identification of gene-by-smoking interactions in COPD genetics studies. Thorax. 2011;66(10):903–9.
Hancock DB, Soler Artigas M, Gharib SA, Henry A, Manichaikul A, Ramasamy A, et al. Genome-wide joint meta-analysis of SNP and SNP-by-smoking interaction identifies novel loci for pulmonary function. PLoS Genet. 2012;8(12):e1003098.
Imboden M, Bouzigon E, Curjuric I, Ramasamy A, Kumar A, Hancock DB, et al. Genome-wide association study of lung function decline in adults with and without asthma. J Allergy Clin Immunol. 2012;129(5):1218–28.
Loth DW, Soler Artigas M, Gharib SA, Wain LV, Franceschini N, Koch B, et al. Genome-wide association analysis identifies six new loci associated with forced vital capacity. Nat Genet. 2014;46(7):669–77.
Ong BA, Li J, McDonough JM, Wei Z, Kim C, Chiavacci R, et al. Gene network analysis in a pediatric cohort identifies novel lung function genes. PLoS One. 2013;8(9):e72899.
Soler Artigas M, Wain LV, Repapi E, Obeidat M, Sayers I, Burton PR, et al. Effect of five genetic variants associated with lung function on the risk of chronic obstructive lung disease, and their joint effects on lung function. Am J Respir Crit Care Med. 2011;184(7):786–95.
Yao TC, Du G, Han L, Sun Y, Hu D, Yang JJ, et al. Genome-wide association study of lung function phenotypes in a founder population. J Allergy Clin Immunol. 2014;133(1):248–55 e1–10.
Li X, Ortega VE, Ampleford EJ, Graham Barr R, Christenson SA, Cooper CB, et al. Genome-wide association study of lung function and clinical implication in heavy smokers. BMC medical genetics. 2018;19(1):134.
Kreiner-Moller E, Bisgaard H, Bonnelykke K. Prenatal and postnatal genetic influence on lung function development. J Allergy Clin Immunol. 2014;134(5):1036–42 e15.
Obeidat M, Miller S, Probert K, Billington CK, Henry AP, Hodge E, et al. GSTCD and INTS12 regulation and expression in the human lung. PLoS One. 2013;8(9):e74630.
Hayes JD, Flanagan JU, Jowsey IR. Glutathione transferases. Annu Rev Pharmacol Toxicol. 2005;45:51–88.
Sayers I, Hawley J, Stewart CE, Billington CK, Henry A, Leighton-Davies JR, et al. Pharmacogenetic characterization of indacaterol, a novel beta 2-adrenoceptor agonist. Br J Pharmacol. 2009;158(1):277–86.
Peel SE, Liu B, Hall IP. A key role for STIM1 in store operated calcium channel activation in airway smooth muscle. Respir Res. 2006;7:119.
Portelli MA, Stewart CE, Hall IP, Brightling CE, Sayers I. Cigarette smoke and the induction of Urokinase plasminogen activator receptor in vivo: selective contribution of isoforms to bronchial epithelial phenotype. Am J Respir Cell Mol Biol. 2015;53(2):174–83.
Miller S, Henry AP, Hodge E, Kheirallah AK, Billington CK, Rimington TL, et al. The Ser82 RAGE variant affects lung function and serum RAGE in smokers and sRAGE production in vitro. PLoS One. 2016;11(10):e0164041.
Biasini M, Bienert S, Waterhouse A, Arnold K, Studer G, Schmidt T, et al. SWISS-MODEL: modelling protein tertiary and quaternary structure using evolutionary information. Nucleic Acids Res. 2014;42(Web Server issue):W252–8.
Kheirallah AK, de Moor CH, Faiz A, Sayers I, Hall IP. Lung function associated gene integrator complex subunit 12 regulates protein synthesis pathways. BMC Genomics. 2017;18(1):248.
Trapnell C, Roberts A, Goff L, Pertea G, Kim D, Kelley DR, et al. Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and cufflinks. Nat Protoc. 2012;7(3):562–78.
Mootha VK, Lindgren CM, Eriksson KF, Subramanian A, Sihag S, Lehar J, et al. PGC-1alpha-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes. Nat Genet. 2003;34(3):267–73.
Subramanian A, Tamayo P, Mootha VK, Mukherjee S, Ebert BL, Gillette MA, et al. Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc Natl Acad Sci U S A. 2005;102(43):15545–50.
Andrade MA, Perez-Iratxeta C, Ponting CP. Protein repeats: structures, functions, and evolution. J Struct Biol. 2001;134(2–3):117–31.
Adams LA, White SW, Marsh JA, Lye SJ, Connor KL, Maganga R, et al. Association between liver-specific gene polymorphisms and their expression levels with nonalcoholic fatty liver disease. Hepatology. 2013;57(2):590–600.
Doi M, Murai I, Kunisue S, Setsu G, Uchio N, Tanaka R, et al. Gpr176 is a Gz-linked orphan G-protein-coupled receptor that sets the pace of circadian behaviour. Nat Commun. 2016;7:10583.
Ferreira MA, Matheson MC, Tang CS, Granell R, Ang W, Hui J, et al. Genome-wide association analysis identifies 11 risk variants associated with the asthma with hay fever phenotype. J Allergy Clin Immunol. 2014;133(6):1564–71.
Hinds DA, McMahon G, Kiefer AK, Do CB, Eriksson N, Evans DM, et al. A genome-wide association meta-analysis of self-reported allergy identifies shared and allergy-specific susceptibility loci. Nat Genet. 2013;45(8):907–11.
Matsuo H, Yamamoto K, Nakaoka H, Nakayama A, Sakiyama M, Chiba T, et al. Genome-wide association study of clinically defined gout identifies multiple risk loci and its association with clinical subtypes. Ann Rheum Dis. 2016;75(4):652–9.
Li S, Ma Y, Xie C, Wu Z, Kang Z, Fang Z, et al. EphA6 promotes angiogenesis and prostate cancer metastasis and is associated with human prostate cancer progression. Oncotarget. 2015;6(26):22587–97.
Egan JB, Barrett MT, Champion MD, Middha S, Lenkiewicz E, Evers L, et al. Whole genome analyses of a well-differentiated liposarcoma reveals novel SYT1 and DDR2 rearrangements. PLoS One. 2014;9(2):e87113.
Ferreira RC, Freitag DF, Cutler AJ, Howson JM, Rainbow DB, Smyth DJ, et al. Functional IL6R 358Ala allele impairs classical IL-6 receptor signaling and influences risk of diverse inflammatory diseases. PLoS Genet. 2013;9(4):e1003444.
Malard V, Berenguer F, Prat O, Ruat S, Steinmetz G, Quemeneur E. Global gene expression profiling in human lung cells exposed to cobalt. BMC Genomics. 2007;8:147.
Ziganshin BA, Bailey AE, Coons C, Dykas D, Charilaou P, Tanriverdi LH, et al. Routine genetic testing for thoracic aortic aneurysm and dissection in a clinical setting. Ann Thorac Surg. 2015;100(5):1604–11.
Zhang Q, Ye H, Xiang F, Song LJ, Zhou LL, Cai PC, et al. miR-18a-5p inhibits sub-pleural pulmonary fibrosis by targeting TGF-beta receptor II. Mol Ther. 2017;25(3):728–38.
Takamochi K, Ohmiya H, Itoh M, Mogushi K, Saito T, Hara K, et al. Novel biomarkers that assist in accurate discrimination of squamous cell carcinoma from adenocarcinoma of the lung. BMC Cancer. 2016;16(1):760.
Harju T, Mazur W, Merikallio H, Soini Y, Kinnula VL. Glutathione-S-transferases in lung and sputum specimens, effects of smoking and COPD severity. Respir Res. 2008;9:80.
Nebert DW, Vasiliou V. Analysis of the glutathione S-transferase (GST) gene family. Hum Genomics. 2004;1(6):460–4.
Liu Z, Piao L, Zhuang M, Qiu X, Xu X, Zhang D, et al. Silencing of histone methyltransferase NSD3 reduces cell viability in osteosarcoma with induction of apoptosis. Oncol Rep. 2017;38(5):2796–802.
Kramer K, Harrington EO, Lu Q, Bellas R, Newton J, Sheahan KL, et al. Isoprenylcysteine carboxyl methyltransferase activity modulates endothelial cell apoptosis. Mol Biol Cell. 2003;14(3):848–57.
Dwyer J, Li H, Xu D, Liu JP. Transcriptional regulation of telomerase activity: roles of the the Ets transcription factor family. Ann N Y Acad Sci. 2007;1114:36–47.
Ohtani N, Zebedee Z, Huot TJ, Stinson JA, Sugimoto M, Ohashi Y, et al. Opposing effects of Ets and id proteins on p16INK4a expression during cellular senescence. Nature. 2001;409(6823):1067–70.
Cha JH, Wee HJ, Seo JH, Ahn BJ, Park JH, Yang JM, et al. AKAP12 mediates barrier functions of fibrotic scars during CNS repair. PLoS One. 2014;9(4):e94695.
Valdivia CR, Ueda K, Ackerman MJ, Makielski JC. GPD1L links redox state to cardiac excitability by PKC-dependent phosphorylation of the sodium channel SCN5A. Am J Physiol Heart Circ Physiol. 2009;297(4):H1446–52.
Tkacova R. Systemic inflammation in chronic obstructive pulmonary disease: may adipose tissue play a role? Review of the literature and future perspectives. Mediators Inflamm. 2010;2010:585989.
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