Published OnlineFirst December 15, 2011; DOI: 10.1158/0008-5472.CAN-11-3647
Cancer Tumor and Stem Cell Biology Research
Mammary Gland Selective Excision of c-Jun Identifies Its Role in mRNA Splicing
Sanjay Katiyar1, Xuanmao Jiao1, Sankar Addya1, Adam Ertel1, Yolanda Covarrubias1, Vanessa Rose1, Mathew C. Casimiro1, Jie Zhou1, Michael P. Lisanti3, Talat Nasim4,5, Paolo Fortina1, and Richard G. Pestell1,2
Abstract The c-jun gene regulates cellular proliferation and apoptosis via direct regulation of cellular gene expression. Alternative splicing of pre-mRNA increases the diversity of protein functions, and alternate splicing events occur in tumors. Here, by targeting the excision of the endogenous c-jun gene within the mouse mammary epithelium, we have identified its selective role as an inhibitor of RNA splicing. Microarray-based assessment of gene expression, on laser capture microdissected c-jun / mammary epithelium, showed that endogenous c-jun regulates the expression of approximately 50 genes governing RNA splicing. In addition, genome-wide splicing arrays showed that endogenous c-jun regulated the alternate exon of approximately 147 genes, and 18% of these were either alternatively spliced in human tumors or involved in apoptosis. Endogenous c-jun also was shown to reduce splicing activity, which required the c-jun dimerization domain. Together, our findings suggest that c-jun directly attenuates RNA splicing efficiency, which may be of broad biologic importance as alternative splicing plays an important role in both cancer development and therapy resistance. Cancer Res; 72(4); 1023–34. 2011 AACR.
Introduction or regulates cell-cycle progression in the presence of DNA damage and thereby inducing apoptosis (16). In both scenarios, c-Jun is overexpressed in human tumors that display c-jun functions by regulating the gene transcription via cog- increased cellular proliferation and DNA synthesis whereas nate DNA-binding sites in the promoter of apoptosis regulatory its in vivo disruption prevents hepatocarcinoma (1). c-Jun genes. c-Jun function in mammary gland development and overexpression can induce anchorage-independent growth of growth in vivo is largely unknown as the c-jun / mice are Rat-1a and human breast MCF-7 cells (2, 3) and can inhibit embryonic lethal (13). Targeted expression of Cre recombinase fl/fl cellular apoptosis via gene transcription through a p53/ in the mammary epithelium of c-jun mice (MMTV-Cre/c- fl/fl p21CIP1-dependent mechanism (1). c-Jun complexes with jun ) showed that the loss of c-jun expression in the mam- Jun/Fos and MaF/Nr1 families members (4–6) to form an mary epithelium correlated with increased apoptosis by activator protein (AP-1) transcription factor complex that can terminal deoxynucleotidyl transferase–mediated dUTP nick regulate expression of genes that control G1 to S-phase pro- end labeling (TUNEL) staining (17) although the mechanism by gression and diverse cellular functions (7). which c-jun inhibits apoptosis remained to be determined. c-Jun mediates oncogenic transformation (8) and cellular Herein, we interrogated the molecular genetic events regulated apoptosis in a cell- and context-dependent manner (9–15). by endogenous c-jun in mammary epithelial in vivo. c-Jun regulates target gene expression that regulates apoptosis, Recent studies have revealed the importance of alternative RNA splicing in cellular apoptosis (18–20), in human disease and cancer (21, 22). Pre-mRNA splicing regulates gene expres- Authors' Affiliations: Departments of 1Cancer Biology, 2Medical Oncol- sion in 75% of human genes whereas serine/arginine (SR)-rich ogy, and 3Stem Cell Biology and Regenerative Medicine, Kimmel Cancer proteins mediate both constitutive and alternative splicing (23) 4 Center, Thomas Jefferson University, Philadelphia, Pennsylvania; Depart- and act as a switch that controls the conversion of apoptotic ment of Medical and Molecular Genetics, and 5National Institute for Health Research (NIHR), Biomedical Research Centre, Guy's and St. Thomas' genes into proapoptotic splice variants (24). Alternative splic- NHS Foundation Trust King's College London, London, United Kingdom ing of a subset of genes is enriched in human breast and ovarian Note: Supplementary data for this article are available at Cancer Research cancers. The mechanisms governing alternative splicing in Online (http://cancerres.aacrjournals.org/). tumors and relative splicing activity are not well understood. S. Katiyar, X. Jiao, and R.G. Pestell contributed equally to the work. The development of a splicing minireporter gene to increase splicing activity has been useful in identifying candidate Corresponding Author: Richard G. Pestell, The Kimmel Cancer Center, Thomas Jefferson University, 233 South 10th Street, Philadelphia, PA mechanisms. 19107. Phone: 215-503-5692; Fax: 215-503-9334; E-mail: Herein, microarray analysis conducted on laser capture [email protected] microdissected mammary epithelial cells (MEC) from floxed doi: 10.1158/0008-5472.CAN-11-3647 c-jun transgenic mammary epithelium, (devoid of c-jun pro- 2011 American Association for Cancer Research. tein due to Cre-mediated c-jun gene excision), showed that
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c-jun altered the expression of splicing factors. c-Jun directly Immunohistochemistry, mouse mammary gland whole attenuated splicing activity and regulated target gene splice mounts, and Western blots variants. A significant proportion of these c-jun–dependent Transgenic animals were euthanized following Institutional alternatively spliced genes were also alternatively spliced in Animal Care and Use Committee allowed procedure. Mam- tumors and in apoptosis. Thus, in addition to mediating mary gland whole mounts were prepared as described (33). apoptosis or cell survival via regulating gene transcription, c-jun regulates the mRNA splicing apparatus and splicing of Laser capture microdissection, RNA extraction, RT-PCR, genes involved in apoptosis. qRT-PCR, gene expression arrays, and real-time qRT-PCR Materials and Methods RNA samples extracted from laser capture microdissected þ þ MECs from wild-type c-jun / and knockout c-jun / bitrans- Transgenic mice, mouse embryonic fibroblasts, MECs, genic mice mammary glands were processed for Affymetrix 430 expression plasmids, and reagents 2.0 Gene Expression Arrays for ascertaining the differential gene f/f Transgenic animals carrying floxed c-jun alleles, c-jun , expression of various genes in presence or absence of c-jun were previously described (25). All experimental procedures expression in MECs. Oligonucleotide primers used for various with these mice were approved by the ethics committee of gene amplifications are listed in Table 1. DNA-PCR, qRT-PCR, Thomas Jefferson University (Philadelphia, PA). Primary and real-time qRT-PCR were performed according to standard mouse MEC cultures were prepared by removing the 4th protocols for test genes and housekeeping gene controls. mammary gland from 8-week-old female mice (26). Production of mouse embryonic fibroblasts (MEF) and 3T3 and their Analyses of gene splicing using Affymetrix exon arrays culture conditions were described in other studies (26–28). and Ingenuity Pathway Analyses of alternatively spliced The adenoviruses (Ad-Null and Ad-Cre) used for infecting genes MEFs or MECs (29), RSV-c-jun, MSCV-c-jun, and their mutants For genome-wide analyses of alternative splicing of various (30), the splicing double reporter (31), and the c-Fos expression genes, Affymetrix Mouse Exon 1.0 ST arrays were used accord- vectors, a generous gift of Dr. Tom Curran (32), were previously ing to manufacturers prescribed protocols and conditions. described. Genespring 11.5.1 and Ingenuity Pathways Analysis System
Table 1. List of primers used for PCR genotyping of animals and quantitative real-time PCR analyses
Gene Orientation Sequence 50!30
Floxed c-jun Forward CTC ATA CCA GTT CGC ACA GGC GGC Reverse CCG CTA GCA CTC ACG TTG GTA GGC Reverse CAG GGC GTT GTG TCA CTG AGC T Cre Forward TGC TCT GTC CGT TTG CCG Reverse ATC GTG TCC AGA CCA GGC c-jun Forward AGA CGC GTG CCT ACG GCT ACA GTA A Reverse CGA CGT GAG AAG GTC CGA GTT CTT G RPL-19 Forward CTG AAG GTC AAA GGG AAT GTG Reverse GGA CAG AGT CTT GAT GAT CTC Splicing reporter Forward AAC ATC AGC CGC TAC AGT CAA Reverse ACG TGA TGT TCT CCT CGA TAT Caspase 9 exon 9 Forward CTA CAC ATG CAG TTG TGG GCG TTT Reverse GAT GCA TAA TGG CCA GAA CTT GGG Caspase 8 exon 7 Forward AAA TGG CGG AAC TGT GTG ACT CG Reverse CCG TGA CTC ACT GTC TTG TTC TCT Wisp1 exon 3 Forward TAC ACC AAT GGC GAG TCC TTC CAA Reverse TGG TCT CCT TGC GTC ATC ATC ACA Kifap3 exon 14 Forward TGC AGC CCA GAT TTC CAG TGA TGA Reverse ATT GTC AGA TTT GCC AGC GTT CCC Kifap3 exon 21 Forward ACT AAG TAA GCC TCA AGC AGC CGA Reverse TAG TAA GGT TCG TCA GGG CGG AAT Idua exon 14 Forward TGG ACC CTC CCA CAT CAA TCA CTA Reverse GAG TCA TTT GGG AAG AAG GAA CCT C
NOTE: Oligonucleotide primers used for PCR genotyping of animals, DNA PCR, RT-PCR, qRT-PCR, and real-time qRT-PCR analyses.
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7.5 were used to explore gene networks regulated by c-jun. because of the sensitivity of RT-PCR, with resulting amplifi- Additional details are provided as Supplementary information. cation from trace amounts of c-jun from other stromal cells, lymphocytes, and macrophages. Immunostaining confirmed Results the expression of Cre-mRNA transcripts and proteins in the mammary glands (Fig. 1C). Western blot analysis showed Somatic excision of c-jun in the mammary gland reduces the loss of c-jun protein in whole mammary gland extracts MECs in vivo (Fig. 1B). Laser capture microdissection (LCM) was used to Female progeny, resulting from the crosses between floxed select MECs and extract RNA for all subsequent molecular f/f c-jun (c-jun ) or wild-type (c-junw/w) mice with MMTV-Cre assays [Fig. 1D (iii)]. Both RT-PCR and qRT-PCR on laser transgenic mice expressing mammary specific Cre recombi- capture microdissected RNA confirmed a 10-fold reduction nase were used (Fig. 1A–D). Amplification of a 600-bp PCR in c-jun expression [Fig. 1D (iv and v)]. fragment in the mammary gland was indicative of successful c- jun gene excision by Cre recombinase (Fig. 1B) and consequent Endogenous c-jun in MECs inhibits expression of genes reduction in expression of c-jun mRNA transcripts and pro- governing mRNA splicing teins (<90%; Fig. 1C). Amplification of residual c-jun mRNA In recent studies of the cellular components of the mam- transcripts in whole mammary gland RNA was detected mary gland of the bitransgenic mice, we showed an
Figure 1. Deletion of the c-jun in the MECs by transgenic mice. A, schematic representation of the genomic c-jun, floxed c-jun allele, and deleted c-jun is shown along with primer binding sites (arrows). B, PCR, RT-PCR, and Western blot (WB) analyses to validate the c-jun gene excision, expression of Cre recombinase, and reduced abundance of c-jun protein following c-jun excision. C, immunohistochemical staining for Cre in bitransgenic mice mammary gland section (i.e., positive cells indicated by an arrow). D, representative laser capture microdissected image of a trypan blue–stained mammary gland section from transgenic mice. i, entire section before LCM; ii, section after LCM; iii, green-stained microdissected MECs on laser capture microdissected cap; iv, RT-PCR for assessment of c-jun, Cre, and housekeeping gene control 18S expression on laser capture microdissected RNA; and v, qRT-PCR–based quantification of relative abundance of the Cre-recombinase and c-jun mRNA transcripts following Cre-mediated c-jun gene excision. , P 0.05; error bar, SD.
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approximately 50% reduction in area and the number of for the entire gene to yield a normalized intensity. The epithelial cells observed per field in c-jun / mice as compared splicing index is then calculated as a fold change between þ þ with c-jun / mice (17). Genome-wide transcriptional profil- the 2 normalized levels. One hundred fifty six genes were þ þ ing was carried out on RNA obtained by LCM of MECs from shown to be alternatively spliced in 3 c-jun / versus 3 c- þ f/f þ MMTV-Cre /c-jun (c-jun / or KO) and MMTV-Cre / jun / mice mammary epithelium (Fig. 3B). Several of those w w þ þ c-jun / (c-jun / or WT) mice. Gene set enrichment analysis genes are either known to be involved in apoptosis (caspase- by NIH-DAVID, using Gene Ontology terms to characterize the 9, caspase-6) or have been linked to disease in which differentially regulated genes by their molecular function and apoptosis is a prominent feature (Kifap3, Park2). The relative pathway analysis conducted using ASSESS showed c-jun– abundance of a subset of these genes was validated by qRT- regulated several functional categories (UVA/UVB; RhoGT- PCR of the affected exons (Fig. 3C), which is a quantitative – fi Pases, the G1 S reactome, estrogen signaling, E2F1/E2F1 indicator of higher abundance of the speci c spliced form. targets, apoptosis, mRNA processing reactome, and mRNA To display a subset of the analysis of the key individual genes splicing; ref. 17). The finding that the loss of endogenous c-jun and their alternative splicing, the probe sets were indicated correlated with the induction of pathways governing mRNA on the x-axis and the relative increase or decrease in processing and splicing was novel and warranted further transcript inclusionorexclusionasaresultofcellularmRNA investigation. The enrichment for altered expression of indi- splicing activity is shown as log10 on the y-axis. The affected vidual genes within the mRNA processing reactome (Fig. 2A) gene exons are represented in red below the graphical and the mRNA splicing factors (Fig. 2B), illustrates that endog- display of the splicing results (Supplementary Fig. S1). enous c-jun regulates the expression of genes involved in As a complementary interrogation of the genome subjected mRNA splicing. to alternative splicing by c-jun, comparison was made of c- þ þ Splicing factors include both activators and repressors of jun / versus c-jun / MECs, and individual exon mapping splicing (34). The excision of c-jun both induced and was conducted using Plotagene. For ease of display exon map, repressed activators and repressors of splicing. Members of Plotagene displays the structure of the specified gene, colored the SR family (SFR) which encode sequence specificspliceo- according to the expression level of each exon (36). The average some factors, basal SnRNA (SNRPB2), and SR repetitive expression of gene is calculated and used to color the overall matrix protein 1 (SRRM1) which encode proteins involved gene. The genes which are alternatively spliced in a manner in pre- and postsplicing mRNA complexes, were primarily dependent upon c-jun and the distribution of the alternately induced but some were repressed in c-jun / mammary spliced exons, is shown in Fig. 4A. Using this approach, the epithelium. Splicing factors known to function as repressors population of alternatively spliced genes expanded to include of splicing (i.e., SNRP70, SNRPN, and SNRPC) were mainly 147 genes. The 147 genes and the alteration in expression of the inhibited in c-jun / cells. Splicing of pre-mRNA occurs in individual exons determined by the relative abundance of c-jun the spliceosome which consists of 5 ribonucleoprotein sub- is shown in Fig. 4A. Recent studies have shown that active units. qRT-PCR was, therefore, conducted to determine the alternative splicing events are changed in breast/ovarian mRNA abundance of these components and the mean date tumors (37). A comparison of these alternatively spliced of n ¼ 6 for each mRNA is shown as mean dCt values genes with the c-jun–dependent spliced genes showed in Fig. 2D. The mean dCt value is essentially the reciprocal an overlap of 8 of 147 (Fig. 4B, individual genes shown of fold change. Expression of key mRNA splicing regulatory in Fig. 4A). genes (sfrs2, hnRNPA, hRNPU, snrpg, srp19, and sf3b3) were An advanced bioinformatics analysis was conducted to map increased upon c-jun excision (Fig. 2D). Heterogeneous nu- and classify the patterns of the c-jun–dependent alternatively clear ribonucleoproteins (hnRNP) are a family of 20 pre- spliced genes into Functional Gene Networks and Disease and mRNA–binding proteins designated hnRNPA through Disorder Networks using the Ingenuity Pathways Analyses U. hnRNPU stabilizes specificmRNAbybindingtheir30 System (IPA 7.5; Figs. 3 and 4 and Table 2). These highest UTR and interacts with nucleophosmin to regulate apopto- ranked functional networks identified by IPA 7.5 were: Cancer dC fi sis (35). Thus, SRSF2 expressed as a reduction in mean t (1) and Cell Death (score: 20; ref. Fig. 4D). This nding is values (Fig. 2B and D, red tag) was increased in abundance consistent with the 14 genes correlating with genes involved in by quantitative RT-PCR in c-jun / cells. apoptosis (Fig. 4A). Approximately 22% of the alternatively spliced genes within "Disease and Disorder" networks were Endogenous c-jun regulates alternative splicing of genes categorized as cancer related Fig. 4D). Approximately 54% of These studies indicate that c-jun regulates the abundance the alternatively spliced genes within the top "Molecular and of gene products regulating splicing. To determine whether Cellular Function" networks were functionally linked to cell alterations in abundance of genes associated with gene death or cellular compromise (Fig. 4E). splicing of altered gene splicing in vivo,weexaminedthe alternate splice forms of 28,853 gene transcripts represented Endogenous c-jun reduces expression of the on the Mouse Exon 1.0 ST chip. Using the Gene Spring "Core proapoptotic splicing factor SRSF2 Data Analysis" method and filtering and statistical methods We next examined the relative abundance of an individual þ þ (Fig. 3A), we determined the gene splicing index (SI). For the splicing factors in c-jun / and c-jun / MECs. The SRF of determination of the SI, each exonic probe set is normalized RNA-binding proteins are essential for multiple steps of spli- by dividing its expression by the gene-level summary value ceosome assembly at both the 50 and 30 sites and function in
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Figure 2. Genome-wide expression analysis on laser capture microdissected RNA from mammary epithelium. A, microarray-based gene expression analysis identifies c-jun–dependent signaling pathways. ASSESS was used to classify the pathways differentially regulated by endogenous c-jun. Red denotes positive enrichment and upregulation, whereas green denotes negative enrichment and downregulation. Tree view analysis of mRNA processing reactome. B, mRNA splicing factors data showing altered genes from 6 separate transgenic knockout mice. C, Venn diagram showing overlap between mRNA processing reactome and mRNA splicing factors. D, real-time qRT-PCR–based validation of exon array results. Data display mean dCt values from 3 wild-type (WT) and 3 knockout (KO) sample RNAs for each gene target. dCt ¼ CtT CtH, where T ¼ target gene and H ¼ housekeeping gene, so low dCt ¼ higher transcript expression and high dCt ¼ lower transcript expression. Error Bars ¼ SEM.
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Figure 3. Genome-wide splicing array shows endogenous c-jun governs alternative splicing. Exon inclusion or exclusion (resulting from altered mRNA splicing) was compared in exon arrays using laser capture microdissected RNA þ from mammary epithelium of Cre / c-junf/f (c-jun / ) versus Creþ/c- junw/w (c-junþ/þ). A, schematic representation of the alternative splicing analysis on Affymetrix exon arrays using Genespring. B, primary Heat Map depicting the splicing index of 156 differentially spliced genes among c-jun WT and KO. Blue lines indicate expression of probe set in WT c-jun (c-junþ/þ) and red lines indicates in KO (c-jun / ) MEC RNA. C, graphical representation of exonic inclusion or exclusion of 6 biologically relevant genes involved in apoptosis showing alternatively spliced exons. Mean transcript exclusion or inclusion data are represented for each of the probe set IDs with 3 samples for each sample type from c-junþ/þ and c-jun / animals. , P 0.05, Error bars ¼ SD. Casp, caspase; Ex, exon.
both constitutive and alternative splicing (38). SC35, SRSF2 whether the increased abundance of SRSF2 regulated splicing, (the protein product of the Srsf2 gene), is known to promote siRNA to SrSf2 was deployed in conjunction with a synthetic the alternative splicing of several genes to enhance their splicing reporter gene (31; Fig. 5C). Two distinct siRNAs to Srsf2 proapoptotic phenotype (38). Immunohistochemistry for enhanced splicing reporter activity by approximately 5-fold SRSF2 showed increased abundance in a nuclear speckled (Fig. 5D). Consistent with the lower level of Srsf2 in c-jun / distribution in c-jun / mammary epithelial breast tumor cells, the induction of splicing activity by Srsf2 siRNA was cells (Fig. 5A) and Western blot analysis confirmed increased increased only 2-fold in c-jun / cells. The approximately SRSF2 abundance in c-jun / MECs (Fig. 5B). To determine 10-fold increase in SRSF2 was abrogated by reintroduction of
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A B
Gene Human Human Gene Human Human Splicing Index Symbol Ortholog ASE Apoptosis Splicing Index (Continued) Symbol Ortholog ASE Apoptosis Prpf40a PRPF40A Sh3bp5l SH3BP5L Ank1 ANK1 Larp7 LARP7 Vps54 VPS54 BCa,O Sord SORD Iqcb1 IQCB1 Tbcb TBCB Stt3b STT3B 2610001J05Rik LOC401397 Cwf19l2 CWF19L2 Myl7 MYL7 Tpm1 TPM1 BCa,OCa Cox6b1 COX6B1 Nup214 NUP214 Mypop MYPOP Wapal WAPAL Fth1 FTH1 Kifap3 KIFAP3 Grid2 GRID2 * 2210018M11Rik C11orf30 Atp5e ATP5E Ccdc59 CCDC59 Nfkbil1 NFKBIL1 Hipk2 HIPK2 * Rps5 RPS5 Tmem38a TMEM38A Tnfrsf12a TNFRSF12A * Nwd1 NWD1 Sncb SNCB * Plekhh2 PLEKHH2 Pfpl Brwd1 BRWD1 Dusp8 DUSP8 Idua IDUA 2310003L22Rik C20orf7 Clock CLOCK Serpinb8 SERPINB8 Acly ACLY BCa,OCa Sdhb SDHB Zdhhc17 ZDHHC17 Sostdc1 SOSTDC1 Strbp STRBP Ltbp4 LTBP4 Mrps23 MRPS23 Tnfrsf25 TNFRSF25 O Psma1 PSMA1 Cdc42se2 CDC42SE2 Brd9 BRD9 B,OCa Atg7 ATG7 * Uckl1 UCKL1 Atp5f1 ATP5F1 Ifrd2 IFRD2 Sigirr SIGIRR R3hdm2 R3HDM2 Vamp2 VAMP2 Prpf3 PRPF3 Zfp212 ZNF212 Gpn1 GPN1 Casp9 CASP9 * 2010012O05Rik C10orf32 Tbc1d25 TBC1D25 B,O Nedd4l NEDD4L Dtnbp1 DTNBP1 Ndufs1 NDUFS1 * Hsd17b11 HSD17B11 Slc43a3 SLC43A3 Dhx34 DHX34 B,O Dnttip2 DNTTIP2 Adcy5 ADCY5 Edc4 EDC4 Txnl4a TXNL4A 4430402I18Rik C9orf68 Ppp1r1a PPP1R1A Tada3 TADA3 P2rx4 P2RX4 * Nup85 NUP85 Slmap SLMAP Unc13b UNC13B 0610007P14Rik C14orf1 Prkcd PRKCD * Park2 PARK2 * Sgpl1 SGPL1 * Sgcd SGCD Slc37a4 SLC37A4 Dlgap4 DLGAP4 Dhx36 DHX36 Snrpn SNRPN Uhrf2 UHRF2 Dctn3 DCTN3 Eef2 EEF2 Fam160a2 FAM160A2 Nup107 NUP107 Pbrm1 PBRM1 BCa,OCa Pomt1 POMT1 Polr1b POLR1B Rfng RFNG Igf2r IGF2R * Letm1 LETM1 Alox15 ALOX15 Ddit4l DDIT4L Osmr OSMR Slc7a6 SLC7A6 Calcoco1 CALCOCO1 5730494M16Rik C18orf10 Myoz1 MYOZ1 Utp14b Rin2 RIN2 Acsl3 ACSL3 B,O Prlr PRLR Jarid2 JARID2 Ilf2 ILF2 Dennd4b DENND4B D930015E06Rik KIAA0922 Ccnk CCNK Cyp39a1 CYP39A1 Mettl5 METTL5 Srpk2 SRPK2 Cyp20a1 CYP20A1 B,O Hace1 HACE1 Capsl CAPSL Gsto2 GSTO2 Fbp2 FBP2 Hif1a HIF1A * Sdhc SDHC BCa,OCa Vcam1 VCAM1 Ptcd1 PTCD1 Hexb HEXB Bola3 BOLA3 B,O Faf2 FAF2 Pygm PYGM Rod1 ROD1 Stc2 STC2 Trf TF Tmem57 TMEM57 Tmem126b TMEM126B Sqrdl SQRDL Stx19 STX19 Arrdc3 ARRDC3 Cma1 CMA1 Med15 MED15 OCa Ldb3 LDB3 Acadvl ACADVL D Tmem14c TMEM14C Xpa XPA * Nnmt NNMT Etv3 ETV3 Gab1 GAB1 B,O Casp6 CASP6 OCa, *
C
E
Figure 4. c-Jun mediates alternative gene splicing. A and B, a plot gene display of the specific genes colored according to the expression of individual exons for each gene. Average gene expression of the specific exon is shown. The relative splicing index for each gene is shown with the gene symbol human orthologue and the presence of the alternatively spliced gene in human disease either BCa (breast cancer), OCa (ovarian cancer), O (ovarian), B (breast), or in apoptosis from Venables and colleagues (37). C, Venn diagram representing the overlap between the c-jun–dependent alternatively spliced gene sense (MoEx SI > 0.5) with overlap shown to OCa, ASE, and BCa ASE (ovarian cancer alternatively spliced exons or breast cancer alternatively spliced exons). D, enrichment for gene function by Ingenuity Pathway Analysis (IPA) systems. The relative proportion of genes within the top functional gene networksis shown. E, proportion of the top 7 genes by molecular and cellular function based on IPA.
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Table 2. IPA (IPA7.5) results for 156 alternatively spliced genes
Top Networks Network Score Cancer, cell death, hematologic disease 20 Cancer, developmental disorder, embryonic development 23 Neurologic disease, skeletal and muscular disorders, cellular compromise 23 Genetic disorder, skeletal and muscular disorders, development disorders 28 Top Bio Functions Disease and Disorder name P Molecules Cancer 4.11e-03–4.57e-02 11 Genetic disorder 4.11e-03–4.83e-02 11 Dermatologic diseases and conditions 4.11e-03–4.43e-02 10 Skeletal and muscular disorders 3.44e-04–4.83e-02 9 Cardiovascular diseases 4.11e-03–4.43e-02 7 Molecular and cellular function name P Molecules Cellular compromise 9.40e-04–4.49e-02 13 Cell death 3.44e-04–4.83e-02 12 Cell morphology 4.97e-05–1.63e-02 8 Protein degradation 9.40e-04–4.69e-02 4 Carbohydrate metabolism 1.46e-03–4.04e-02 3 Physiologic system development and function name P Molecules Embryonic development 4.11e-03–4.04e-02 9 Cardiovascular system development and function 4.11e-03–3.64e-02 5 Digestive system development and function 4.97e-05–4.97e-05 2 Connective tissue development and function 4.11e-03–4.11e-03 1 Top Canonical Pathways Name P Ratio Glycosaminoglycan degradation 3.6e-04 3/72 (0.042) Mitochondrial dysfunction 1.99e-03 4/172 (0.023) Parkinson's signaling 2.17e-03 2/17 (0.118) Docosahexaenoic acid (DHA) signaling 9.03e-03 2/45 (0.044) Oxidative phosphorylation 1.84e-02 3/166 (0.018)