The homeodomain transcription factor Nkx2-1 is essential for normal lung development and homeostasis. In lung tumors, it is considered a lineage survival oncogene and prognostic factor depending on its expression levels. The target genes directly bound by Nkx2-1, that could be the primary effectors of its functions in the different cellular contexts where it is expressed, are mostly unknown. In embryonic day 11.5 (E11.5) mouse lung, epithelial cells expressing Nkx2-1 are predominantly expanding, and in E19.5 prenatal lungs, Nkx2-1-expressing cells are predominantly differentiating in preparation for birth. To evaluate Nkx2-1 regulated networks in these two cell contexts, we analyzed genome-wide binding of Nkx2-1 to DNA regulatory regions by chromatin immunoprecipitation followed by tiling array analysis, and intersected these data to expression data sets. We further determined expression patterns of Nkx2-1 developmental target genes in human lung tumors and correlated their expression levels to that of endogenous NKX2-1. In these studies we uncovered differential Nkx2-1 regulated networks in early and late lung development, and a direct function of Nkx2-1 in regulation of the cell cycle by controlling the expression of proliferation-related genes. New targets, validated in Nkx2-1 shRNA transduced cell lines, include E2f3, Cyclin B1, Cyclin B2, and c-Met. Expression levels of Nkx2-1 direct target genes identified in mouse development significantly correlate or anti-correlate to the levels of endogenous NKX2-1 in a dosage-dependent manner in multiple human lung tumor expression data sets, supporting alternative roles for Nkx2-1 as a transcriptional activator or repressor, and direct regulator of cell cycle progression in development and tumors.
Citation:Tagne J-B, Gupta S, Gower AC, Shen SS, Varma S, et al. (2012) Genome-Wide Analyses of Nkx2-1 Binding to Transcriptional Target Genes Uncover Novel Regulatory Patterns Conserved in Lung Development and Tumors. PLoS ONE 7(1): e29907. doi:10.1371/journal.pone.0029907
Editor: Cara Gottardi, Northwestern University Feinberg School of Medicine, United States of America
Received: February 18, 2011; Accepted: December 7, 2011; Published: January 5, 2012
Copyright: © 2012 Tagne et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding:This work was supported by NHLBI P01 HL047049 and NIH UL1 RR025771 (NIH URL http://www.nhlbi.nih.gov/). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Lineage-specific transcription factors play master roles in development and in maintenance of particular phenotypes in normal tissues and in disease . NK2 homeobox 1 (Nkx2-1, Nkx2.1, Ttf-1, Titf1, T/ebp) is a transcription factor necessary for normal lung, thyroid and brain development . In the lung, once the respiratory epithelial cell fate is established, Nkx2-1 participates in expansion and differentiation of epithelial progenitor cells to form the lung branches; later in development, its expression is restricted to a subset of bronchiolar and alveolar epithelial cells, where it contributes to maintain their normal phenotype. In tumors, variable levels of NKX2-1 expression are detected in 40–50% of non-small cell lung carcinomas (NSCLCs), being higher in lung adenocarcinomas than in squamous cell carcinomas, suggesting that levels of NKX2-1 expression are linked to tumor cell phenotypes , .
Previous studies showed the physiological importance of normal Nkx2-1 expression levels in development and its dysregulation in disease. In mouse lung, Nkx2-1 absence results in impaired branching morphogenesis, abnormal distal cell differentiation and neonatal death ; mutations that prevent Nkx2-1 phosphorylation result in relatively normal morphogenesis but lethal functional defects ; conversely, epithelial Nkx2-1 over-expression produces cell hyperplasia, disrupted alveolar septation and emphysema . In human lung, NKX2-1 haplo-insufficiency causes respiratory dysfunction, abnormal airway and alveolar morphogenesis, abnormal surfactant protein expression and infections , . In lung cancer, NKX2-1 has been proposed as a positive or negative prognostic factor depending on expression levels , . Amplification of the 14q13 locus containing the NKX2-1 gene is observed in only 11–15% of adenocarcinomas , , ; DNA mutations in the open reading frame that may produce a mutated protein or truncations are rarely encountered , .
The functions elicited by Nkx2-1 expression in different cell contexts are primarily determined by the direct target genes transcriptionally regulated by Nkx2-1. In the lung, a few Nkx2-1 direct target genes have been identified by individual gene promoter analyses including surfactant proteins, secretoglobins, ABCA3 and Nkx2-1 itself . Microarray expression analyses identified genes directly and indirectly regulated by the active phosphorylated form of Nkx2-1 in mice  and in human lung fetal cells . The transcriptional program directly controlled by Nkx2-1 in early and late mouse lung development  that may explain its primary developmental effects, and the genes regulated by NKX2-1 in human lung cancer are unknown , .
To address these issues we have analyzed, by chromatin immunoprecipitation-chip and intersection with expression data sets, direct in vivo Nkx2-1 transcriptional targets in early vs. late lung development. The genes identified may serve as primary effectors of Nkx2-1 functions in different developmental cell contexts. We determined expression levels of Nkx2-1 target genes identified in development and correlated their expression to the level of NKX2-1 in more than ten public human lung tumor data sets. The regulatory networks discovered clarify the diverse biological roles of Nkx2-1 observed in development, and provide a rationale for the association of NKX2-1 levels and NSCLCs prognosis via its downstream targets.
Selection of lung developmental stages for Nkx2-1 target analysis
To identify genes directly regulated by Nkx2-1 in different cell contexts during lung development we selected two developmental stages based on general differentiation characteristics of the epithelium, and Nkx2-1 expression patterns . We analyzed Nkx2-1 target genes at E11.5, when Nkx2-1 is expressed in most epithelial cells as lung buds start branching (Figures 1A, 1C, and 1E) and at E19.5, when Nkx2-1-expressing cells in the distal lung are undergoing extensive differentiation preparing for the first breath at birth (Figures 1B, 1D and 1F). We observed, by confocal microscopy, using either the rabbit monoclonal Nkx2-1antibody (Figures 1A–D, ab76013; Abcam) or the rabbit polyclonal Nkx2-1 antibody (Figures 1E,F, 07-601; Millipore-Upstate), that Nkx2-1 and the proliferation marker Ki67  co-localize in most epithelial nuclei at E11.5 (Figure 1C, >90%; n = 3, and Figure 1E and inserts). At E19.5, however, only a few cells in the distal lung express Ki67, and those cells do not express Nkx2-1 protein (Figure 1D, 1F and inserts). The monoclonal antibody detects nuclear Nkx2-1 protein expression while the polyclonal antibody detects signal both in the nucleus and cytoplasm. Detection of Nkx2-1 in the cytoplasm has been previously shown by other authors , , . These results indicate that lung epithelial cells expressing Nkx2-1 in early and late lung development go through different biological processes; it is likely that Nkx2-1 elicits different functions by binding to specific target genes in these developmental stages. Context specific gene regulation controlled by Nkx2-1 has been shown in early and late brain development , , , , where Nkx2-1 regulates the specification of interneuron subtype in early proliferating telencephalic progenitors, and later, the migration and sorting of post mitotic neurons to different regions of the brain.
Immunohistochemistry analyses of Nkx2-1 protein expression using the Nkx2-1 antibody (ab76013) in (A) E11.5 lung (bar = 100 µm)) and in (B) E19.5 lung (bar = 100 µm). Nkx2-1 is expressed in all lung epithelial cells at E11.5, but is restricted to bronchiolar and type II alveolar cells at E19.5. Confocal immunofluorescence co-localization analysis of Nkx2-1 (green) and Ki67 (red) proteins in (C) E11.5 (bar = 20 µm) and (D) E19.5 embryonic lung (bar = 20 µm) using the Nkx2-1 antibody (ab76013) and in (E) E11.5 (bar = 20 µm) and (F) E19.5 embryonic lung (bar = 20 µm) using the Nkx2-1 antibody (07-601). Nkx2-1 and Ki67 co-localized in most epithelial nuclei at E11.5 (C,E inserts) but are detected in different cells at E19.5 (D,F inserts). (G) Western blot analysis of Nkx2-1 protein expression using Nkx2-1 rabbit polyclonal antibody (07-601) in developing mouse lung at the indicated time points, and adult lung, thyroid and liver. MLE15 mouse epithelial cells and H441 human lung carcinoma cells were also analyzed. Actin was used as control. Two main bands between 40 and 50 kD are detected with a differential developmental pattern of expression (n = 3) (black arrows). Other minor bands of unknown identity are also detected (*) Lb (lung buds), V (blood vessels), Br (bronchioles), E (epithelium), M (mesenchyme), A (alveolus), green arrow.
We also characterized, by western blots, Nkx2-1 protein expression patterns at different mouse lung developmental stages, thyroid, liver, and mouse MLE15 and human H441 cell lines. Using the rabbit polyclonal Nkx2-1 antibody (Millipore-Upstate), the same antibody used in ChIP assays, we detected two major bands between 40 and 50 kD in E13.5, E19.5, and adult lung, and in the MLE15 lung epithelial cell line. The higher molecular weight or lower mobility band was the major band detected at E11.5. Its abundance was increased from E13.5 to E19.5 consistent with previous reports ,  (Figure 1G). Only one band corresponding to the lower mobility protein was detected in mouse thyroid and in the H441 human lung carcinoma cell line although their mobility is not identical. Two mouse Nkx2-1 transcripts (2.1 kb and 2.3 kb) differentially expressed during lung development  are translated in vitro into two proteins that share a common DNA binding domain but differ in their N-terminal domain. The function and regulation of these isoforms in lung development are unknown, although they differentially activate the surfactant protein C (Sftpc) promoter , . Also Nkx2-1 posttranslational modifications such as phosphorylation, acetylation and redox state can modify Nkx2-1 proteins altering their molecular weight, mobility in electrophoresis assays and transcriptional activity , ; the lack of specific antibodies for each isoform or posttranslational modification precludes evaluating them in the present studies.
Genome-wide analysis of Nkx2-1 target genes in lung development
Due to the differential pattern of Nkx2-1 protein expression, and proliferation state of expressing cells in E11.5 and E19.5 lung, we chose these developmental time points to identify genome-wide Nkx2-1 binding to target genes in vivo. Chromatin immunoprecipitation (ChIP) assays, ligation mediated-PCR (LM-PCR) amplification, and hybridization to promoter tiling arrays were performed to map Nkx2-1 genomic occupancy , , . Nkx2-1 binding patterns on all mouse chromosomes (Supplementary Figure S1) at E11.5 and E19.5 showed comparable binding levels, despite the different cell context compared. The complete data set is available at GEO (GSE23043).
Bioinformatic analysis of the ChIP-chip data allowed us identifying unique interactions between Nkx2-1 and genomic DNA regions at high confidence. Nkx2-1 binds to ~8,000 features/oligonucleotides on the promoter tiling arrays at E11.5, and ~9,000 at E19.5 (p<0.001). Multiple features correspond to regulatory regions on the same gene. Comparison of Nkx2-1 binding features revealed that 25% of the targets were unique to E11.5 (3010 features), 32% were unique to E19.5 (3934 features) and 43% (5170 features) were common to both developmental stages. The Nkx2-1 bound features/oligonucleotides correspond to regulatory regions of >1300 independent genes at E11.5 and at E19.5 of the ~17,000 represented in the array (Supplementary Table S1a and S1b). Comparison of common bound genes using the ~1300 highest bound single probes representing individual genes showed that only 85 of the ~1300 genes (6.5%) were common between E11.5 and E19.5. These findings suggest that most of the common probes found at both time points have significant but low binding signal. So most of the genes used in further studies were either highly bound at E11.5 or at E19.5.
We found Nkx2-1 protein bound to its own promoter, the promoters of surfactant proteins-A and –B (Sftpa, Sftpb), secretoglobin 1a1 (Scgb1a1) consistent with previous reports  (Figure 2A) and other targets (Figure 2B). By intersecting the ChIP-chip data and microarray expression data sets of mesenchyme-free freshly isolated E11.5 lung epithelium  we identified Nkx2-1 target genes expressed in E11.5 lung. Among 3154 genes called ‘present’ in E11.5 lung epithelium, 374 genes are Nkx2-1 targets (p≤0.001) (Supplementary Table S2). Of the 2611 genes called ‘present’ in a public E18 lung data set , 183 genes are Nkx2-1 targets at E19.5 (≤0.001) (Supplementary Table S2). Furthermore, ~50% of the 95 top genes regulated by Nkx2-1 in human fetal epithelial cells are direct targets of Nkx2-1 (Supplementary Table S3), validating our findings.
(A) Binding patterns of Nkx2-1 to known lung target genes. Binding ratios (IP/Input) are shown at different chromosomal locations. Pink (binding in E11.5 lung), blue (binding in E19.5 lung). Transcripts are indicated by a black line. (B) Binding patterns of Nkx2-1 to newly identified targets involved in cell proliferation. (C) Chromatin immunoprecipitation-PCR validation of Nkx2-1 binding to proliferation-related target genes. Nkx2-1 IP DNA from E11.5 and E19.5 lungs, Input and IgG immunoprecipated control were used in PCR analyses. Oligonucleotides in the promoter region were used to analyze binding of Nkx2-1, and at exon regions of the same gene as control, (n = 2).
Validation of selected ChIP-chip targets by ChIP and gene specific PCR
We confirmed in vivo binding of Nkx2-1 to selected ChIP-chip predicted targets involved in cell proliferation by gene-specific ChIP-PCR in E11.5 and E19.5 lung (Figure 2C) using the same antibody than in the ChIP-chip analyses; we validated them as bona fide direct targets of Nkx2-1. Nkx2-1 regulated genes in other organs such as thyroglobulin in thyroid or Lhx6 and Olig3 in brain, not detected in lung development, are highly bound by Nkx2-1 in the lung (Supplementary Figure S2), indicating that binding does not imply functional activation of transcription; other mechanisms, such as chromatin remodeling or DNA methylation, may silence those genes in the lung. Genes expressed later in lung development are already bound by Nkx2-1 at E11.5. For example, Sftpa, not expressed at detectable levels in E11.5 lung, is bound by Nkx2-1 in regions 5′ and 3′ to the transcription initiation site (Figure 2A). At E19.5, increased Nkx2-1 binding is detected on the Sftpa promoter region correlating with higher transcription as previously described by classical promoter analyses .
Biological processes and pathways targeted by Nkx2-1
To identify novel genes and pathways that may be effectors of Nkx2-1 functions during lung development, we performed Gene Ontology analyses using EASE  and ~1300 individual genes bound by Nkx2-1 (log2 binding ratio >0.75; p≤0.001) at E11.5 or at E19.5. These analyses revealed significant enrichment in many biological processes at each time point (p<0.05) (Supplementary Table S4). Selected genes in the top biological processes at each time point are shown in Table 1. In particular, ‘positive regulation of cell proliferation’ is significantly enriched at E11.5 (p = 0.0038) but not at E19.5 (p = 0.9824), while ‘ion transport’ is enriched at E19.5 (p = 0.0001) but not at E11.5 (p = 0.1976), supporting a differential role for Nkx2-1 at each developmental stage . We concentrated our studies in Nkx2-1 proliferation-related target genes because of their link to development and cancer. Although Nkx2-1 has been shown to control cell proliferation , , direct regulation of proliferation-related genes by Nkx2-1 has not been reported. Proliferation-related Nkx2-1-target genes expressed in early lung epithelium and/or human lung tumors are shown in Table 2. Overrepresented pathway analysis performed by Ingenuity Pathway Analysis at E11.5 and E19.5 (Supplementary Table S5) identified common Nkx2-1 targeted pathways at both stages, such as ‘mechanisms of cancer’ and ‘HGF signaling’ (Supplementary Table S6). Other pathways were uniquely overrepresented at E11.5, including ‘RAR signaling’ and ‘TR/RXR activation’, and at E19.5, including ‘renin-angiotensin signaling’. These Nkx2-1 regulated pathways have been previously linked to lung development and tumorigenesis , , .
Reduced Nkx2-1 expression affects cell cycle progression and transcription of target genes
To evaluate whether altered levels of Nkx2-1 expression can affect target gene transcription, we performed short hairpin RNA (shRNA)-mediated Nkx2-1 knockdown in the mouse lung epithelial cell line MLE-15. These cells express both forms of the Nkx2-1 protein identified in development (Figure 3A). Nkx2-1 message was reduced by 60% and average expression of both Nkx2-1 protein forms was reduced by 40% (Figures 3A and D). Nkx2-1s shRNA reduces expression of the two main bands between 40–50 kD but also of a faint band of higher molecular weight. These bands may represent modifications of Nkx2-1, although we have not confirmed their composition. Reduction of Nkx2-1 delayed cell cycle progression by halting cells in G2/M phase (Figures 3B and C). The moderate reduction in Nkx2-1 levels has a measurable impact on cell growth and target gene regulation. Cell count analyses performed at 24 h intervals for 4 days show a significant difference in total number of cells after 3 days in culture (Figure 3D). By qRT-PCR we determined downregulation of E2f3, Ccnb1, Ccnb2, and Pik3ca by reduction of Nkx2-1 (Figure 3E). Block of cell cycle in G2/S phase observed by down-regulation of Nkx2-1 in cell lines may be mediated by down-regulation of Cnnb1 and Cnnb2 which participate in transition of cells into the synthesis phase. c-Met, conversely, was highly upregulated, supporting a role of Nkx2-1 as a transcriptional repressor. Alternatively, indirect mechanisms controlled by Nkx2-1, besides Nkx2-1 binding to c-Met promoter, could control transcription of this gene.
(A) Western blot analysis of Nkx2-1 downregulation by shRNA in MLE15 cells using the Nkx2-1 antibody 07-601 (Millipore-Upstate). Two bands between 40–50 kD are detected in mouse MLE15 cells and E17.5 lung. Densitometry analyses show a significant downregulation of Nkx2-1 major bands in shRNA transduced cells. Nkx2-1 downregulation by shRNA also reduces the level of minor bands of higher molecular weight (*, asterisks) (B) Representative flow cytometry analyses of DNA content and cell cycle progression in the same cells; n = 3. (C) Relative number of cells in each stage of the cell cycle. (D) Cell count analysis of MLE15 cells transduced with empty vector or Nkx2-1shRNA. 5000 cells were plated and grown in standard conditions for up to 4 days. Attached cells were trypzinized and counted; n = 6 (E) Real time RT-PCR analyses of Nkx2-1 mRNA expression levels in Nkx2-1 shRNA or empty vector transduced cells; n = 3; similar analyses were performed for selected targets; n = 6. Error bars represent s.e.m.; (*) p≤0.05.
Correlation of NKX2-1 and developmental target gene expression levels in NSCLC
Lung development and cancer have been linked by comparing embryonic and tumor gene expression profiles , . Also, developmental gene programs active in human lung tumors have been explored as predictors of patient's survival , . The effector genes responsible for these associations, however, are largely unknown. We evaluated expression of Nkx2-1 target genes identified in mouse development in human lung tumors, and their correlation with endogenous NKX2-1 levels (Figures 4 and S4). Sixteen human lung tumor data sets, available in GEO or the literature, including gene expression levels in lung adenocarcinomas and squamous cell carcinomas, were analyzed (Table 3). Human homologues corresponding to mouse Nkx2-1 target genes at E11.5 (350 genes) and at E19.5 (183 genes) were used in GSEA analyses. The expression of E11.5 developmental target genes significantly correlated or anti-correlated to NKX2-1 level in 10 out 16 data sets (p<0.05). The expression of E19.5 developmental target genes significantly correlated or anti- correlated to NKX2-1 level in 9 out 16 data sets (p<0.05). The anti-correlation of many Nkx2-1 target genes with NKX2-1 expression in tumors (Figures 4 and S4) and of c-Met with Nkx2-1 levels shown in MLE15 cells supports a role of Nkx2-1 as a transcriptional repressor.
Heatmaps of human lung tumor genes identified in GSE12667 database showing gene expression levels of the human homologues of Nkx2-1 target genes identified in mouse lung development at E11.5 (upper panel) and E19.5 (lower panel); genes are organized according to their Pearson correlation value (y axis) to relative NKX2-1 expression level (x axis).
We also determined the enrichment of particular biological processes within the expression/correlation groups (Table 4). In the lung tumor datasets evaluated, there is a negative correlation between NKX2-1 and regulators of the cell cycle identified in early development, while there is a positive correlation with genes involved in transcriptional regulation. These links might be helpful in understanding the fact that patients with adenocarcinomas with higher levels of NKX2-1 expression have a better prognosis than those with lower or no expression of NKX2-1. For example, we determined that higher levels of NKX2-1 expression correlate to lower level of expression of the target genes Ccnb1, Ccnb2, Cdc2, Cdkn2c, and Mcm2.
To identify direct transcriptional targets of Nkx2-1 that could be effectors of its developmental functions we performed ChIP-chip analyses in early and late developing mouse lung. The differential expression pattern of Nkx2-1 at these developmental stages allowed us to evaluate Nkx2-1 targets in cell populations undergoing proliferation at E11.5 and differentiation at E19.5. In this work, we identified a preferential role for Nkx2-1 in direct transcriptional regulation of proliferation-related genes in early development and of ion transport genes in late development.
Nkx2-1 regulation of lung cell proliferation and survival was previously shown in development and tumor cell lines , , , but the effector genes directly regulated by Nkx2-1 were largely unknown. Amongst several proliferation-related genes targeted by Nkx2-1, we identified E2f3, cyclins Ccnb1 and Ccnb2, and c-Met. E2f3 controls the rate of cell proliferation by controlling the G1/S transition and the initiation of DNA synthesis ,  and is expressed in the lung epithelium in early development , . Cyclins Ccnb1 and Ccnb2 regulate the G2/M phase transition and are ubiquitously expressed in the lung during development. Ccnb1, E2f3 and other proliferation genes are mostly bound by Nkx2-1 at E11.5 but not at E19.5. Binding of Nkx2-1 to the promoters of these genes correlates with increased expression (Figure S3), and with proliferative state of the epithelial cells in early lung development. c-Met is a proto-oncogene and the HGF receptor tyrosine kinase expressed in E13 mouse lung epithelium and thereafter, where it is involved in mitosis, migration and morphogenesis . Reduction of Nkx2-1 expression in cell lines alters expression of these genes, and slows down cell cycle progression. In vivo, the absence of Nkx2-1 results in impaired lung epithelial lineage expansion and branching morphogenesis. These findings make us speculate that reduced expression of genes involved in cell proliferation and progression of the cell cycle may contribute to the hypomorphic lung phenotype observed in Nkx2-1 null embryos , , . It will be interesting in the future to determine if altered expression of the genes identified precludes distal lung epithelial progenitor cells to proliferate and engage in the process of branching morphogenesis.
A different context is observed at E19.5, when Nkx2-1 expressing cells are differentiating and preparing for the rapid absorption of luminal fluid and for the first breath , . Nkx2-1 binding to ion transport genes in distal lung epithelial cells at E19.5 suggests that Nkx2-1 participates in differentiation of the distal lung epithelium to perform these functions at birth. Gene expression analyses of E18 lungs harboring a Nkx2-1 phosphorylation-deficient mutant also show reduced expression of genes that regulate fluid and electrolyte transport  supporting a direct link between Nkx2-1 and these functions.
Our results may also have important implications for understanding NKX2-1 functions in lung cancer. A link between development and tumorigenesis has been suggested in different cancers and their corresponding organ of origin . Genomic associations between human lung cancer subtypes and developing mouse lung indicated that tumors with genomic profiles similar to early lung development correlate to poorer patient's prognosis  while tumors with gene expression profiles similar to more differentiated lung cell phenotypes correlate to better patient's prognosis. Developmental genes expressed in tumors, such as NKX2-1 may underlie these associations. Multiple evidences support a dual role for NKX2-1 as a proto-oncogene and tumor suppressor gene in lung cancer. NKX2-1 is considered a lineage specific oncogene since its expression is increased or amplified in some lung tumors , , , . In other analyses NKX2-1 is considered a good prognostic factor, since patients with NSCLC showing high levels of NKX2-1 or amplification of the locus have a better prognosis than those that have lost NKX2-1 expression , . NKX2-1 was also proposed as a suppressor of lung adenocarcinoma progression in a mouse model of lung cancer . NKX2-1 target genes, effectors of these functions in lung tumors are also unknown. NKX2-1 and some human homologues of the targets identified in development, including E2F3, CCNB1, CCNB2 and c-MET have been proposed as independent lung tumor markers and prognostic genes. E2F3 is overexpressed in 55–70% squamous cell carcinomas and 79% of adenocarcinomas of the lung. , and is associated with high Ki67 in invasive cancers . Increased expression of CCNB1 in NSCLC was suggested as a poor prognostic parameter , , . CCNB2 and c-MET are also over expressed in adenocarcinomas , , , . Our findings point to NKX2-1 as a direct transcriptional regulator of these independent markers of lung tumorigenesis modulating their level of expression at different stages of tumor progression.
Comparison of mouse lung development and human lung cancer data sets identified cell cycle and proliferation as the largest gene categories involved in both processes. Since early development in most organs involves significant cell proliferation, it is not surprising that most similarities between NKX2-1 targets in early lung development and tumors are related to cell cycle and proliferation genes . It is possible that tumor cells maintaining lung-lineage characteristics use tissue/cell specific factors including NKX2-1 to control proliferation and other functions. In addition to the genes identified in these studies, there may be other genes uniquely regulated by NKX2-1 in tumors and not in development; to identify those genes it will be necessary, in the future, to analyze direct NKX2-1 binding in primary tumors or alternatively in tumor cell lines.
It is intriguing that many cell proliferation genes inversely correlate to the levels of NKX2-1 in NSCLC. This inverse correlation may explain the poorer prognosis of patients with NSCLC with low levels of NKX2-1. To determine if the reverse correlation is due to repression by direct NKX2-1 binding, ChIP analyses may be performed in human tumor tissues or tumor cell lines. Alternatively molecular analyses of the promoters of these genes in cell lines may provide information about the repression of these genes by Nkx2-1 binding. These experiments will be the focus of our future studies. Adenocarcinomas sub-classification based on gene expression profiling was proposed to improve prediction of malignant potential and prognosis . The associations identified in our studies may contribute to the molecular classification of these tumors and clarify NSCLC heterogeneity, holding great potential to increase the understanding of this disease.
Our findings point to potential molecular mechanisms by which Nkx2-1 may differentially regulate transcriptional activity. First, inverse correlation in expression level of NKX2-1 and targets in tumors, and of Nkx2-1 and c-Met in MLE15 cells suggests a more widespread role of Nkx2-1 in transcriptional repression. This effect could be by direct binding or, alternatively, by recruitment or activation of transcriptional repressors by Nkx2-1 to down-regulate particular genes. Nkx2-1 has been mostly linked to transcriptional activation in lung and other organs , although neuropilin-2  and RAGE  have been reported to be down-regulated by direct binding of Nkx2-1 to a cis-element in their promoters strongly supporting Nkx2-1 repressor activity.
Second, there are target genes bound by Nkx2-1 at both developmental time points, whereas others are bound only at E11.5 or E19.5. Interactions with alternative co-factors differentially expressed at each time point might result in differential affinity and binding to alternative targets . Different isoforms and/or modifications of Nkx2-1 proteins by phosphorylation, acetylation or oxidation may affect affinity for particular cis-elements or interactions to different co-factors at each time point , , . Identification of different forms of Nkx2-1 protein at E11.5 and E19.5 will be necessary to fully understand the different targets in alternative cell contexts.
The specificity of Nkx2-1 binding has also been linked to promoter structure . Differences in chromatin modifications surrounding these cis-elements in different cell contexts could affect affinity of Nkx2-1 proteins. For example binding of Nkx2-1 to the Sftpb promoter is prevented by DNA methylation of the Sftpb promoter in non-expressing tissues, such as thyroid . To fully understand the differences in binding patterns in different cell contexts we will need to identify the consensus sequences and the chromatin modifications of the binding sites in genomic regions only bound at E11.5 or only bound at E19.5. Future analyses will be focused in discerning these alternatives and characterizing Nkx2-1 binding sites in different contexts.
Finally, we observed strong binding to brain and thyroid genes not expressed at detectable levels in developing lung, suggesting that binding of Nkx2-1 does not imply activation of transcription. In certain cases, binding may precede activation such as in the case of Sftpa and may prime the gene for activation upon recruitment of other transcription complexes and/or co-factors to the promoter. The identification of unique Nkx2-1 targets at E11.5 and E19.5 will facilitate the evaluation of possible mechanisms that control specificity.
Overall, we provide novel insights into biological processes regulated by Nkx2-1 in different cell contexts in development, and cancer. We identified Nkx2-1 direct target genes in mouse lung epithelium that are primary effectors of Nkx2-1 functions, in particular cell proliferation genes. We showed that expression levels of the target genes depend on NKX2-1 levels in NSCLC. NKX2-1 has been associated to longer, similar or shorter patient survival in NSCLC, depending on expression levels , . Therefore, evaluation of NKX2-1 expression levels relative to its downstream targets will provide a way to sub-classify NSCLCs, and understand the mechanisms underlying associations to patient survival.
Materials and Methods
A rabbit polyclonal Nkx2-1 antibody (EMD-Millipore-Upstate 07-601) was used in ChIP assays, immunofluorescence analyses and western blots; a rabbit monoclonal Nkx2-1 antibody (Abcam, ab76013) was used in immunofluorescence analyses and western blots. The later did not work in ChIP assays in the conditions tested. Although some antibodies work well in experiments such as western blots, or immunocytochemistry, they may not necessarily work in ChIP assays since the fixative conditions used may mask or destroy some epitopes. Monoclonal antibodies, such as ab76013, have higher specificity than polyclonal sera, but polyclonal sera, such as 07-601, may recognize several epitopes of the target, increasing signal levels , .
We selected the rabbit polyclonal Nkx2-1 antibody for the ChIP-chip analyses based on our previous results  and additional experiments performed for this manuscript. We have previously shown specificity of this antibody in ChIP-PCR analyses in vitro and in vivo. Briefly MLE15 cells were transfected with a wild type or mutant Sftpb promoter construct containing mutations of four Nkx2-1 consensus sites. ChIP-PCR assays were performed with the rabbit polyclonal Nkx2-1 antibody or IgG. Mutation of the Nkx2-1 binding sites abolished binding of Nkx2-1 to the promoter and therefore no PCR band is observed when the mutant DNA is immunoprecipitated with the Nkx2-1 antibody. PCR with oligonucleotides in the β-actin locus were also used to indicate the absence of non-specific binding. In addition we showed using the same antibody that Nkx2-1 binds to the endogenous Sftpb promoter in the lung but not the thyroid where the DNA in this region is highly methylated. This same antibody shows binding of Nkx2-1 to the thyroglobulin gene promoter in both tissues but not to β-actin. Supporting experiments that show the specificity of the antibody are included in the results section where down regulation of Nkx2-1 gene expression by shRNAs results in reduction in intensity of the two major bands in Western blots. Those shRNAs do not reduce the levels of the non-specific protein β-actin.
Lungs were dissected from CD1 mice (Charles River Laboratories), minced and immediately immersed in 2 volumes of 1×PBS. For independent immunoprecipitations (IP), we pooled ten E11.5 mouse lungs (n = 2) or five E19.5 mouse lungs (n = 3). Lungs were chemically cross linked by addition of one-tenth volume of fresh 11% formaldehyde solution, and incubated for 10 minutes at room temperature. Formaldehyde was quenched with 2.5 M glycine solution and tissues rinsed twice in 1×PBS. Crosslinked lung samples were flashed frozen in liquid nitrogen and stored at −80°C. To solubilize and shear crosslinked DNA, lungs were lysed and sonicated on ice in a Branson Ultrasonic Sonicator coupled to a Fisher Scientific Sonic dismembrator 500 power supply. Samples were sonicated at 90% amplitude for 12 cycles of 30 second pulses with 60 second pause between pulses, yielding fragments of about 500 bp. Part of the whole cell extract was saved as input material and the rest was incubated overnight at 4°C with 100 µl of Dynal Protein G magnetic beads (Invitrogen) pre-incubated with 10 µl of the Nkx2-1 antibody (07-601, Upstate-Millipore) or IgG (Santa Cruz Biotechnologies, Inc). Beads were washed 4–5 times with RIPA buffer and 1 time with TE containing 50 mM NaCl. Bound complexes were eluted from the beads by addition of elution buffer and by heating at 65°C for 15 minutes with 2 minutes interval of vortexing. Crosslinking in the IP and input samples was reversed by overnight incubation at 65°C. Because Nkx2-1 null mice form only a lung rudiment due to impaired branching morphogenesis we could not use those lungs as control in the ChIP-chip experiments.
ChIP-chip sample preparation and hybridization
ChIP-chip experiments were performed as described previously . Briefly, immunoprecipitated DNA (IP) and whole cell extract DNA (input) were purified by treatment with RNAse A, proteinase K and multiple phenol: chloroform: isoamyl alcohol extractions. Purified DNA was blunt-ended and ligated to linkers, and amplified using a two-stage PCR protocol. Amplified immunoprecipitated DNA (IP) was labeled with Cy5 fluorophore, and amplified whole cell extract DNA (input) with Cy3 fluorophore. Both IP and input were purified using Bioprime random primer labeling kits (Invitrogen). Cy5 and Cy3 labeled DNAs were mixed (~5 µg of each) and hybridized to arrays in Agilent hybridization chambers for 40 hours at 40°C, washed and immediately scanned.
Data Extraction, Normalization and Analysis
We used mouse promoter microarray sets (Agilent Technologies, AMADID: 014716 and 014717), consisting of 2 slides containing ~244,000 60-mer oligonucleotides each, covering ~17,000 mouse genes −5.5 kb upstream to +2.5 kb downstream from the transcriptional start sites. Replicate experiments were performed for each time point and each array was scanned using an Agilent scanner model G2565BA. The image analysis was performed using Agilent's Feature Extraction software v.188.8.131.52 set to the default ChIP protocol. To combine the replicates for each time point, the raw data was background subtracted and median normalized using limma library, part of the Bioconductor project, in the R statistical environment , . The difference of binding between the IP and Input (Cy5/Cy3), for each probe/feature, was analyzed using empirical Bayes method implemented in the limma package. P-values obtained from the multiple comparison tests were corrected by false discovery rates. In addition, for the binding profiles, we calculated average binding ratio (Cy5/Cy3) for each probe by averaging the ratio between the candidate bound probe and the 2 closest neighboring probes. The complete data set is available at GEO Accession Number GSE23043.
Biological process and pathway analyses
Probes at E11.5 and at E19.5 with p≤0.001 and log2 binding ratio ≥0.75 were selected to query the Expression Analysis Systematic Explorer (EASE) to discover enriched biological themes within the probe sets . Multiple probes within a probe set representing binding to the same gene were consolidated by selection of the probe with the highest fold difference (corresponding to the peak of the binding region). Using median stringency settings we identified overrepresented functional annotation clusters (p≤0.05) for each list. We performed pathway enrichment analyses by using Ingenuity database through IPA interface. Enriched canonical pathways at significance level of p≤0.05 were compared between time points.
A list of 374 unique mouse gene symbols corresponding to genes both bound by Nkx2-1 and expressed in E11.5 mouse lung epithelium was obtained by intersecting a list of 1362 unique gene symbols corresponding to significant Nkx2-1 binding peaks at day E11.5 (Dataset S1) and a list of genes called present (detection p value≤0.05) in all measurements in a microarray analysis of isolated lung epithelium at day E11.5 , processed in Affymetrix, MG-U74v2 set and Microarray Suite 5 (MAS5). Gene symbols were translated to 350 unique mouse Entrez Gene IDs using a table obtained from the Homologene resource at NCBI (http://www.ncbi.nlm.nih.gov/sites/entrez?db=homologene).
A list of 183 unique mouse gene symbols corresponding to genes both bound by Nkx2-1 at E19.5 and expressed in E18 mouse lung was obtained by intersecting a list of 1358 unique gene symbols corresponding to significant Nkx2-1 binding peaks at day E19.5 (Dataset S1), translated to mouse Entrez Gene IDs using the Homologene table, and 2611 unique Entrez Gene IDs called present in all measurements in E18 lung, obtained from GEO series GSE10889 , processed with MAS5 and normalized with mouse Entrez Gene-specific CDF. All mouse Entrez Gene IDs in both gene sets were then translated to the Entrez Gene IDs of their human homologues using the Homologene table.
The human lung tumor data sets used in this study were identified in a search of the literature and the Gene Expression Omnibus (GEO) for microarray expression profiles of primary lung adenocarcinomas and squamous carcinomas (Table 3). The search was limited to include only those experiments performed using Affymetrix microarray platforms and for which raw CEL files were publicly available. Gene-specific expression levels were obtained using the Robust Multiarray Average (RMA)  and a Chip Definition File (CDF) that collapses oligonucleotide probes to probesets corresponding to Entrez Gene IDs , obtained from http://brainarray.mbni.med.umich.edu/Brainarray/Database/CustomCDF/). All computations were performed in R (version 2.9.2). To correlate expression of Nkx2-1 target genes to the levels of Nkx2-1, the 350 human homologues at E11.5 and the 183 at E19.5 were ranked according to the absolute value of the Pearson correlation coefficient of its expression level and that of NKX2-1, within each human lung tumor dataset. GSEA was then performed to determine whether the genes in the E11.5 and E19.5 gene sets were significantly enriched toward the top of each ranked list. A total of 1000 random permutations were used to determine significance in each GSEA analysis. Those analyses for which no permutations had greater significance than the gene set being tested are denoted as p<0.001. To elucidate biological signatures from the developmental genes correlated or anti-correlated with NKX2-1 levels in human lung tumors we used GATHER tool .
Lentivirus production and cell transduction
Mouse lung epithelial MLE 15 cells (a gift of Dr. Jeffrey A. Whitsett, Cincinnati Children's Hospital Medical Center) were cultured in modified conditions as described previously , and transduced with lentivirus expressing shRNAs targeting mouse and human Nkx2-1 as we described previously . We used individual clones TRCN0000020449, TRCN0000020450, and TRCN0000086264 contained in shRNA sets RHS4533 and RMM4534 (Open Biosystems). Lentivirus empty vector (RHS4080, Open Biosystems) was used as non-silencing control.
ChIP-PCR, ChIP-qPCR and qRT-PCR
E11.5 and E19.5 immunoprecipitated lung DNA (IP) using the Nkx2-1 antibody (07-601, Upstate-Millipore) or its corresponding IgG (Santa Cruz Biotechnologies), the input material and genomic DNA were analyzed by PCR, or by qPCR in a StepOnePlus (Applied Biosystems). Using equal amount of DNA from each sample, we performed PCR using polymerase (Qiagen) and primers for various selected targets of Nkx2-1 listed in Table S7. qPCR was performed using SYBR Green (Applied Biosystems). For expression analyses, isolated RNA (1 µg) was reverse transcribed (RT) using TaqMan reverse transcription reagents (Applied Biosystems) and Taqman assays on demand and Taqman Master Mix (Applied Biosystems) .
Cell proliferation analyses
For cell cycle analysis by FACS, MLE15 cells transduced with Nkx2-1 shRNA or non silencing vector were harvested, washed twice with 1XPBS, and re-suspended in 500 µl 1XPBS, at 4°C. Ice-cold ethanol (5 ml) was added drop-wise to the cell suspension and incubated overnight at −20°C. Cells were stained in 1 ml propidium iodide (PI) solution (1XPBS +50 µg/ml PI +100 µg/ml RNAse A), filtered using a 40 µM filter (BD Biosciences) and incubated at 4°C in the dark for 20 minutes before analyzing them by flow cytometry (BD FACScan; BD Biosciences, and FlowJo analysis software, Treestar).
Cell growth was measured by counting cell numbers of MLE15 cells transduced with Nkx2-1 shRNA or non silencing vector at 24 hours intervals for 4 days. We initiated the cultures seeding 5000 cells in triplicate. Cultured cells were trypsinized at 24, 48, 72 and 96 hours resuspended in equal volume of media and counted using a Scepter handheld automated cell counter (Millipore).
Western Blot Analyses
Mouse lungs and thyroid were dissected and homogenized in 1 ml of RIPA buffer (50 mM Hepes (pH 7.6), 1 mM EDTA, 0.7% Na deoxycholate, 1% NP-40, 0.5 M LiCl) plus Complete Protease Inhibitor Cocktail (Roche) and incubated in a rotator at 4°C for 2 hours. MLE15 and E10 mouse cells, and H441 and H661 human cells, grown in 10-cm diameter plates, were washed twice with 1XPBS, resuspended in 1 ml of RIPA buffer plus complete protease inhibitors cocktail and lysed by gentle vortexing every 5 minutes for 30 minutes. Samples were centrifuged at 14,000 rpm for 15 minutes, and the supernatant was collected and used in western blot analyses. Thirty micrograms of protein were electrophoresed in 12.5% Hydro Colorize gels (Bio-Rad) and electro-transferred to Immobilon-P Transfer membranes (Millipore). Proteins were detected with the Nkx2-1 antibody (07-601, EMD-Millipore-Upstate-), the Nkx2-1 antibody (ab76013; Abcam), β-Actin , and/or Gapdh (G9545, Sigma-Aldrich) and their corresponding secondary antibodies, in a LAS-4000 chemiluminescence image analyzer (Fuji). To compare the signals obtained by these antibodies and previously published western blots ,  we used the 8G7G3/1 LabVision mouse monoclonal antibody (Thermo Fisher Scientific) following the manufacturer protocols. Data are shown in Supplementary Figure S5. Similar bands are detected between 40 and 50 kDa with the 07-601 rabbit polyclonal and the 8G7G3/1 mouse monoclonal antibodies. The ab76013rabbit monoclonal antibody only detects one band in that range.
E11.5 whole embryos and E19.5 dissected lungs were fixed in freshly prepared 4% paraformaldehyde in 1XPBS, pH 7.4, at 4°C for 16 hours. For immunohistochemistry, tissues were embedded in paraffin following standard processing with ethanol dehydration. Tissue sections (6 µm) were deparaffinized and hydrated by standard methods. Antigen retrieval was done using an Antigen Unmasking solution (Vector Laboratories). Endogenous peroxidase was quenched with 3% H2O2 in methanol for 15 minutes. Blocking was performed with 2% normal goat serum in 1XPBS at room temperature for 1 hour. The tissues were incubated with the Nkx2-1 antibody (ab76013, Abcam, 1:500) at 4°C for 16 hours, and then washed with 1XPBS (5 minutes, twice). Antibody binding was detected with the Vectastain Elite ABC kit (Vector Laboratories) and diaminobenzidine (DAB) as substrate. Images were taken using Leitz Aristoplan microscope. For immunofluorescence, tissues were washed in 1XPBS for 30 minutes, dehydrated in 7.5% sucrose/1XPBS, pH7.4 for 1 hour and then 30% sucrose/1XPBS, pH 7.4 at 4°C for 16 hours. They were then embedded with optimal cutting temperature (OCT) medium in tetra-fluoro-ethane (TFE), liquefied in liquid nitrogen. Sections (6 µm) of these tissues were washed with 1XPBS (5 minutes, twice), blocked in 0.5% goat serum in PBS (1 hour) and incubated for 16 hours at 4°C with a mixture of Nkx2-1 antibodies [(ab76013, Abcam, 1:500) or (07-601, Upstate-Millipore, 1:500)] and mouse anti-human Ki67 antibody (550609, BD Biosciences, 1:250). They were washed with PBS (5 minutes, twice), incubated with M.O.M.™ Biotinylated Anti-Mouse IgG Reagent (FMK-2201, Vector Laboratories, 1:200) for 30 minutes, washed with PBS (5 minutes, twice), and exposed to a mixture of Alexafluor 488 goat anti rabbit IgG (H+L) (A11008, Invitrogen, 1:200) and Streptavidin conjugated Cy3 at (43-4315, Invitrogen, 1:2000) for another 30 minutes. After washing in PBS (5 minutes, twice), the sections were air dried and cover slipped with Prolong Gold (P36935, Invitrogen). Images were taken using the LSM 510 Axiovert 200 M.
Genome-wide patterns of Nkx2-1 binding. Location of Nkx2-1 binding in all mouse chromosomes in E11.5 (red) and E19.5 (green) lungs. X axis (chromosomal location), y axis (binding signal intensity).
Nkx2-1 binding patterns to selected target genes in lung development. Binding profiles of Nkx2-1 to newly identified target genes (left panel). Chromatin immunoprecipitation-qPCR validation of Nkx2-1 binding to target genes (right panel). IP DNA from E11.5 and E19.5 lungs, input and IgG immunoprecipitated control were used in qPCR analyses. Oligonucleotides in the promoter region were used to analyze binding of Nkx2-1, (n = 3). Data are expressed relative to the input.
Relative expression of selected Nkx2-1 target genes in E12 and E18 developing mouse lung extracted from the expression microarray dataset GEO series GSE 10889 (27).
Nkx2-1 levels in human lung tumors significantly correlate with expression of developmental Nkx2-1 target genes. Additional heatmaps of human lung tumor genes identified in GSE 12667 dataset showing gene expression levels of the human homologues of Nkx2-1 target genes identified in mouse lung development at E11.5 (upper panel) and E19.5 (lower panel); genes are organized in the same order as in Figure 4, according to the Pearson correlation value (y axis) to NKX2-1 expression (x axis).
Comparison of three commercial Nkx2-1 antibodies. Western blot experiments were performed using MLE15 lung epithelial cell protein extracts. Nkx2-1 rabbit polyclonal antibody (EMD-Millipore-Upstate), rabbit monoclonal antibody (Abcam) and mouse monoclonal antibody (LabVision, Fisher Scientific) detect a strong band between 40–45 kD (upper black arrow). Bands of lower intensity are detected around 40 kD with the rabbit polyclonal and the mouse monoclonal antibodies (lower black arrow). Other bands of minor intensity are detected (*) but their identity is unknown. The mouse IgG light chain is detected using the mouse monoclonal antibody (**).
(a). Target genes at E11.5 (log(2) >0.75, p≤0.001). (b) Target genes at E19.5 (log(2) >0.75, p≤0.001).
Nkx2-1 target genes expressed in lung development and correlated to NKX2-1 levels in human lung tumor datasets.
Genes bound and regulated by Nkx2-1 in human fetal lung epithelial cells.
(a) E11.5 overrepresented biological processes identified by EASE analysis p<0.05. (b) E19.5 overrepresented biological processes identified by EASE analysis (p<0.05).
Overrepresented canonical pathways identified by Ingenuity Pathway Analysis Software.
Nkx2-1 target genes genes included in Cancer pathways identified by IPA.
PCR and qPCR Oligonucleotide sequences.
We thank Drs. J. Brody, W. V. Cardoso and D. Kotton for valuable suggestions and critical reading of the manuscript, and Ms. Tiffany Vo for technical support. We also thank Dr. A. Solache, M. Machak and R. Benedict from EMD Millipore (Upstate) for their support in the characterization of the Nkx2-1 (07-601) antibody.
Conceived and designed the experiments: JBT ACG MIR. Performed the experiments: JBT SG TLV SV YC ML. Analyzed the data: JBT SG ACG SSS AS MIR. Contributed reagents/materials/analysis tools: AS TLV. Wrote the paper: JBT SG ACG MIR.
- 1. Vias M,Massie CE,East P,Scott H,Warren A,et al. (2008) Pro-neural transcription factors as cancer markers. BMC Med Genomics 1: 17.
- 2. Boggaram V (2009) Thyroid transcription factor-1 (TTF-1/Nkx2.1/TITF1) gene regulation in the lung. Clin Sci (Lond) 116: 27–35.
- 3. Kwei KA,Kim YH,Girard L,Kao J,Pacyna-Gengelbach M,et al. (2008) Genomic profiling identifies TITF1 as a lineage-specific oncogene amplified in lung cancer. Oncogene 27: 3635–3640.
- 4. Stenhouse G,Fyfe N,King G,Chapman A,Kerr KM (2004) Thyroid transcription factor 1 in pulmonary adenocarcinoma. J Clin Pathol 57: 383–387.
- 5. Kimura S,Hara Y,Pineau T,Fernandez-Salguero P,Fox CH,et al. (1996) The T/ebp null mouse: thyroid-specific enhancer-binding protein is essential for the organogenesis of the thyroid, lung, ventral forebrain, and pituitary. Genes Dev 10: 60–69.
- 6. DeFelice M,Silberschmidt D,DiLauro R,Xu Y,Wert SE,et al. (2003) TTF-1 phosphorylation is required for peripheral lung morphogenesis, perinatal survival, and tissue-specific gene expression. J Biol Chem 278: 35574–35583.
- 7. Wert SE,Dey CR,Blair PA,Kimura S,Whitsett JA (2002) Increased expression of thyroid transcription factor-1 (TTF-1) in respiratory epithelial cells inhibits alveolarization and causes pulmonary inflammation. Dev Biol 242: 75–87.
- 8. Galambos C,Levy H,Cannon CL,Vargas SO,Reid LM,et al. (2010) Pulmonary Pathology in Thyroid Transcription Factor-1 Deficiency Syndrome. Am J Respir Crit Care Med.
- 9. Kendall J,Liu Q,Bakleh A,Krasnitz A,Nguyen KC,et al. (2007) Oncogenic cooperation and coamplification of developmental transcription factor genes in lung cancer. Proc Natl Acad Sci U S A 104: 16663–16668.
- 10. Perner S,Wagner PL,Soltermann A,LaFargue C,Tischler V,et al. (2009) TTF1 expression in non-small cell lung carcinoma: association with TTF1 gene amplification and improved survival. J Pathol 217: 65–72.
- 11. Maeda Y,Dave V,Whitsett JA (2007) Transcriptional control of lung morphogenesis. Physiol Rev 87: 219–244.
- 12. Kolla V,Gonzales LW,Gonzales J,Wang P,Angampalli S,et al. (2007) Thyroid transcription factor in differentiating type II cells: regulation, isoforms, and target genes. Am J Respir Cell Mol Biol 36: 213–225.
- 13. Zhou L,Lim L,Costa RH,Whitsett JA (1996) Thyroid transcription factor-1, hepatocyte nuclear factor-3beta, surfactant protein B, C, and Clara cell secretory protein in developing mouse lung. J Histochem Cytochem 44: 1183–1193.
- 14. Scholzen T,Gerdes J (2000) The Ki-67 protein: from the known and the unknown. J Cell Physiol 182: 311–322.
- 15. Kumar AS,Venkatesh VC,Planer BC,Feinstein SI,Ballard PL (1997) Phorbol ester down-regulation of lung surfactant protein B gene expression by cytoplasmic trapping of thyroid transcription factor-1 and hepatocyte nuclear factor 3. J Biol Chem 272: 20764–20773.
- 16. Peca D,Petrini S,Tzialla C,Boldrini R,Morini F,et al. (2011) Altered surfactant homeostasis and recurrent respiratory failure secondary to TTF-1 nuclear targeting defect. Respir Res 12: 115.
- 17. Silberschmidt D,Rodriguez-Mallon A,Mithboakar P,Cali G,Amendola E,et al. (2011) In vivo role of different domains and of phosphorylation in the transcription factor Nkx2-1. BMC Dev Biol 11: 9.
- 18. Butt SJ,Sousa VH,Fuccillo MV,Hjerling-Leffler J,Miyoshi G,et al. (2008) The requirement of Nkx2-1 in the temporal specification of cortical interneuron subtypes. Neuron 59: 722–732.
- 19. Elias LA,Potter GB,Kriegstein AR (2008) A time and a place for nkx2-1 in interneuron specification and migration. Neuron 59: 679–682.
- 20. Nobrega-Pereira S,Kessaris N,Du T,Kimura S,Anderson SA,et al. (2008) Postmitotic Nkx2-1 controls the migration of telencephalic interneurons by direct repression of guidance receptors. Neuron 59: 733–745.
- 21. Li C,Cai J,Pan Q,Minoo P (2000) Two functionally distinct forms of NKX2.1 protein are expressed in the pulmonary epithelium. Biochem Biophys Res Commun 270: 462–468.
- 22. Zannini M,Acebron A,De Felice M,Arnone MI,Martin-Perez J,et al. (1996) Mapping and functional role of phosphorylation sites in the thyroid transcription factor-1 (TTF-1). J Biol Chem 271: 2249–2254.
- 23. Lee TI,Johnstone SE,Young RA (2006) Chromatin immunoprecipitation and microarray-based analysis of protein location. Nat Protoc 1: 729–748.
- 24. Lee TI,Rinaldi NJ,Robert F,Odom DT,Bar-Joseph Z,et al. (2002) Transcriptional regulatory networks in Saccharomyces cerevisiae. Science 298: 799–804.
- 25. Ren B,Robert F,Wyrick JJ,Aparicio O,Jennings EG,et al. (2000) Genome-wide location and function of DNA binding proteins. Science 290: 2306–2309.
- 26. Lu J,Izvolsky KI,Qian J,Cardoso WV (2005) Identification of FGF10 targets in the embryonic lung epithelium during bud morphogenesis. J Biol Chem 280: 4834–4841.
- 27. Mariani TJ,Reed JJ,Shapiro SD (2002) Expression profiling of the developing mouse lung: insights into the establishment of the extracellular matrix. Am J Respir Cell Mol Biol 26: 541–548.
- 28. Liu D,Yi M,Smith M,Mendelson CR (2008) TTF-1 response element is critical for temporal and spatial regulation and necessary for hormonal regulation of human surfactant protein-A2 promoter activity. Am J Physiol Lung Cell Mol Physiol 295: L264–271.
- 29. Hosack DA,Dennis G Jr,Sherman BT,Lane HC,Lempicki RA (2003) Identifying biological themes within lists of genes with EASE. Genome Biol 4: R70.
- 30. Morrisey EE,Hogan BL (2010) Preparing for the first breath: genetic and cellular mechanisms in lung development. Dev Cell 18: 8–23.
- 31. Arrieta O,Gonzalez-De la Rosa CH,Arechaga-Ocampo E,Villanueva-Rodriguez G,Ceron-Lizarraga TL,et al. (2010) Randomized phase II trial of All-trans-retinoic acid with chemotherapy based on paclitaxel and cisplatin as first-line treatment in patients with advanced non-small-cell lung cancer. J Clin Oncol 28: 3463–3471.
- 32. Feng Y,Wan H,Liu J,Zhang R,Ma Q,et al. (2010) The angiotensin-converting enzyme 2 in tumor growth and tumor-associated angiogenesis in non-small cell lung cancer. Oncol Rep 23: 941–948.
- 33. Rigas JR,Dragnev KH (2005) Emerging role of rexinoids in non-small cell lung cancer: focus on bexarotene. Oncologist 10: 22–33.
- 34. Kho AT,Zhao Q,Cai Z,Butte AJ,Kim JY,et al. (2004) Conserved mechanisms across development and tumorigenesis revealed by a mouse development perspective of human cancers. Genes Dev 18: 629–640.
- 35. Liu H,Kho AT,Kohane IS,Sun Y (2006) Predicting survival within the lung cancer histopathological hierarchy using a multi-scale genomic model of development. PLoS Med 3: e232.
- 36. Powers S,Mu D (2008) Genetic similarities between organogenesis and tumorigenesis of the lung. Cell Cycle 7: 200–204.
- 37. Chong JL,Tsai SY,Sharma N,Opavsky R,Price R,et al. (2009) E2f3a and E2f3b contribute to the control of cell proliferation and mouse development. Mol Cell Biol 29: 414–424.
- 38. Humbert PO,Verona R,Trimarchi JM,Rogers C,Dandapani S,et al. (2000) E2f3 is critical for normal cellular proliferation. Genes Dev 14: 690–703.
- 39. Parisi T,Yuan TL,Faust AM,Caron AM,Bronson R,et al. (2007) Selective requirements for E2f3 in the development and tumorigenicity of Rb-deficient chimeric tissues. Mol Cell Biol 27: 2283–2293.
- 40. Visel A,Thaller C,Eichele G (2004) GenePaint.org: an atlas of gene expression patterns in the mouse embryo. Nucleic Acids Res 32: D552–556.
- 41. Sonnenberg E,Meyer D,Weidner KM,Birchmeier C (1993) Scatter factor/hepatocyte growth factor and its receptor, the c-met tyrosine kinase, can mediate a signal exchange between mesenchyme and epithelia during mouse development. J Cell Biol 123: 223–235.
- 42. Kimura S,Ward JM,Minoo P (1999) Thyroid-specific enhancer-binding protein/thyroid transcription factor 1 is not required for the initial specification of the thyroid and lung primordia. Biochimie 81: 321–327.
- 43. Yuan B,Li C,Kimura S,Engelhardt RT,Smith BR,et al. (2000) Inhibition of distal lung morphogenesis in Nkx2.1(-/-)embryos. Dev Dyn 217: 180–190.
- 44. Bardou O,Trinh NT,Brochiero E (2009) Molecular diversity and function of K+ channels in airway and alveolar epithelial cells. Am J Physiol Lung Cell Mol Physiol 296: L145–155.
- 45. Olver RE,Walters DV,S MW (2004) Developmental regulation of lung liquid transport. Annu Rev Physiol 66: 77–101.
- 46. Tanaka H,Yanagisawa K,Shinjo K,Taguchi A,Maeno K,et al. (2007) Lineage-specific dependency of lung adenocarcinomas on the lung development regulator TTF-1. Cancer Res 67: 6007–6011.
- 47. Weir BA,Woo MS,Getz G,Perner S,Ding L,et al. (2007) Characterizing the cancer genome in lung adenocarcinoma. Nature 450: 893–898.
- 48. Myong NH (2003) Thyroid transcription factor-1 (TTF-1) expression in human lung carcinomas: its prognostic implication and relationship with wxpressions of p53 and Ki-67 proteins. J Korean Med Sci 18: 494–500.
- 49. Winslow MM,Dayton TL,Verhaak RG,Kim-Kiselak C,Snyder EL,et al. (2011) Suppression of lung adenocarcinoma progression by Nkx2-1. Nature 473: 101–104.
- 50. Cooper CS,Nicholson AG,Foster C,Dodson A,Edwards S,et al. (2006) Nuclear overexpression of the E2F3 transcription factor in human lung cancer. Lung Cancer 54: 155–162.
- 51. Oeggerli M,Tomovska S,Schraml P,Calvano-Forte D,Schafroth S,et al. (2004) E2F3 amplification and overexpression is associated with invasive tumor growth and rapid tumor cell proliferation in urinary bladder cancer. Oncogene 23: 5616–5623.
- 52. Arinaga M,Noguchi T,Takeno S,Chujo M,Miura T,et al. (2003) Clinical implication of cyclin B1 in non-small cell lung cancer. Oncol Rep 10: 1381–1386.
- 53. Singhal S,Vachani A,Antin-Ozerkis D,Kaiser LR,Albelda SM (2005) Prognostic implications of cell cycle, apoptosis, and angiogenesis biomarkers in non-small cell lung cancer: a review. Clin Cancer Res 11: 3974–3986.
- 54. Yoshida T,Tanaka S,Mogi A,Shitara Y,Kuwano H (2004) The clinical significance of Cyclin B1 and Wee1 expression in non-small-cell lung cancer. Ann Oncol 15: 252–256.
- 55. Hofmann HS,Hansen G,Burdach S,Bartling B,Silber RE,et al. (2004) Discrimination of human lung neoplasm from normal lung by two target genes. Am J Respir Crit Care Med 170: 516–519.
- 56. Nakamura Y,Matsubara D,Goto A,Ota S,Sachiko O,et al. (2008) Constitutive activation of c-Met is correlated with c-Met overexpression and dependent on cell-matrix adhesion in lung adenocarcinoma cell lines. Cancer Sci 99: 14–22.
- 57. Nakamura Y,Niki T,Goto A,Morikawa T,Miyazawa K,et al. (2007) c-Met activation in lung adenocarcinoma tissues: an immunohistochemical analysis. Cancer Sci 98: 1006–1013.
- 58. Stav D,Bar I,Sandbank J (2007) Usefulness of CDK5RAP3, CCNB2, and RAGE genes for the diagnosis of lung adenocarcinoma. Int J Biol Markers 22: 108–113.
- 59. Naxerova K,Bult CJ,Peaston A,Fancher K,Knowles BB,et al. (2008) Analysis of gene expression in a developmental context emphasizes distinct biological leitmotifs in human cancers. Genome Biol 9: R108.
- 60. Reynolds PR,Kasteler SD,Cosio MG,Sturrock A,Huecksteadt T,et al. (2008) RAGE: developmental expression and positive feedback regulation by Egr-1 during cigarette smoke exposure in pulmonary epithelial cells. Am J Physiol Lung Cell Mol Physiol 294: L1094–1101.
- 61. Arnone MI,Zannini M,Di Lauro R (1995) The DNA binding activity and the dimerization ability of the thyroid transcription factor I are redox regulated. J Biol Chem 270: 12048–12055.
- 62. De Felice M,Damante G,Zannini M,Francis-Lang H,Di Lauro R (1995) Redundant domains contribute to the transcriptional activity of the thyroid transcription factor 1. J Biol Chem 270: 26649–26656.
- 63. Cao Y,Vo T,Millien G,Tagne JB,Kotton D,et al. (2010) Epigenetic mechanisms modulate thyroid transcription factor 1-mediated transcription of the surfactant protein B gene. J Biol Chem 285: 2152–2164.
- 64. Berghmans T,Paesmans M,Mascaux C,Martin B,Meert AP,et al. (2006) Thyroid transcription factor 1–a new prognostic factor in lung cancer: a meta-analysis. Ann Oncol 17: 1673–1676.
- 65. Haring M,Offermann S,Danker T,Horst I,Peterhansel C,et al. (2007) Chromatin immunoprecipitation: optimization, quantitative analysis and data normalization. Plant Methods 3: 11.
- 66. Reimer JJ,Turck F (2010) Genome-wide mapping of protein-DNA interaction by chromatin immunoprecipitation and DNA microarray hybridization (ChIP-chip). Part A: ChIP-chip molecular methods. Methods Mol Biol 631: 139–160.
- 67. Gentleman RC,Carey VJ,Bates DM,Bolstad B,Dettling M,et al. (2004) Bioconductor: open software development for computational biology and bioinformatics. Genome Biol 5: R80.
- 68. Irizarry RA,Hobbs B,Collin F,Beazer-Barclay YD,Antonellis KJ,et al. (2003) Exploration, normalization, and summaries of high density oligonucleotide array probe level data. Biostatistics 4: 249–264.
- 69. Dai M,Wang P,Boyd AD,Kostov G,Athey B,et al. (2005) Evolving gene/transcript definitions significantly alter the interpretation of GeneChip data. Nucleic Acids Res 33: e175.
- 70. Chang JT,Nevins JR (2006) GATHER: a systems approach to interpreting genomic signatures. Bioinformatics 22: 2926–2933.
- 71. Ramirez MI,Rishi AK,Cao YX,Williams MC (1997) TGT3, thyroid transcription factor I, and Sp1 elements regulate transcriptional activity of the 1.3-kilobase pair promoter of T1alpha, a lung alveolar type I cell gene. J Biol Chem 272: 26285–26294.