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1 Laboratory of Molecular Pharmacology, 2 Pediatric Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, and 3 Laboratory of Proteomics and Analytical Technologies, Science Applications International Corporation-Frederick, Inc., National Cancer Institute-Frederick, Frederick, Maryland
Requests for reprints: Patricia S. Steeg, Building 37, Room 1122, Bethesda, MD 20892. Phone: 301-402-2732; E-mail: steegp{at}mail.nih.gov.
| Abstract |
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| Introduction |
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A model system consisting of MDA-MB-435 tumor cells transfected with an empty vector (C-100) or the Nm23-H1 metastasis suppressor (H1-177) was used. Previous characterization of these lines indicated a significant suppression of metastasis to the regional lymph nodes and lungs with no significant effect on primary tumor size (1). Nm23-H1 is known to possess enzymatic activities and to bind multiple proteins. Recently, we reported a third contributor to the mechanism of action of Nm23-H1, the regulation of EDG2 expression (2). To continue our analysis of differential expression patterns downstream of Nm23-H1, control and Nm23-H1 transfectants of the human MDA-MB-435 tumor cell line were analyzed for protein expression differences by Isotope Capture Affinity Tag (ICAT). Surprisingly, the most prominent class of differentially expressed proteins was that controlling RNA posttranscriptional modifications. The data presented herein investigate a potential role for alternative mRNA splicing in tumor progression, demonstrating that a component of the spliceosome complex, Gemin5, links alternative mRNA splicing to tumor cell motility.
| Materials and Methods |
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Plasmid and transfection. The pcDNA3 plasmid containing V5-tagged gemin5 was kindly provided by Dr. Gideon Dreyfuss (University of Pennsylvania, Philadelphia, PA). Cells were transfected with V5-gemin5 or control vector using Effectene transfection reagent (Qiagen). Transient transfections were performed as previously described (2).
ICAT and ingenuity pathway analysis. ICAT was performed as described (4). Proteins from the C-100 and H1-177 transfectants or he K7M2 and K7M2 AS1.46 were labeled with light (ICAT-12C9) and heavy (ICAT-13C9) isotopic versions of the ICAT reagents, combined, and digested with trypsin. The ICAT-labeled peptides were isolated using avidin chromatography and analyzed using multidimensional chromatography coupled directly online with tandem mass spectrometry. Peptides were identified, and the relative protein quantitation was determined using BioWorks (ThermoElectron). The differentially expressed proteins list was uploaded to Ingenuity Pathway analysis (IPA; Ingenuity Systems), which was used for generating molecular and cellular functional analysis.
Cell extraction, fractionation, and Western blot analysis. Total cell lysates were prepared in radioimmunoprecipitation assay buffer. For nuclear and cytosol fractionation, cells were lysed in NE-PER extraction reagent (Pierce) according to the manufacturer's protocol. Immunoblotting analysis was performed using anti–Nm23-H1 (BD Biosciences), anti-Acinus (BD Biosciences), anti-Gemin5 (Santa Cruz Biotechnology), anti–Poly(a) binding protein (PABPC1; Novus Biologicals), anti-HNRPA2B1 (Abcam), anti–V5-HRP (Invitrogen), anti-Tubulin (Calbiochem), and anti–c-Jun (Cell Signaling Technology).
SpliceArray chip preparation, labeling, hybridization, and analysis. Splicing arrays were performed per manufacturer's protocol (ExonHit Therapeutics, Inc.).4 The arrays were manufactured by Agilent Technologies on their custom 244K oligoarray format. Labeling, hybridization, and analysis of SpliceArray were performed per ExonHit Therapeutics website.5 To eliminate dye bias, a duplicate hybridization was performed with a dye swap. The arrays were scanned using Agilent's Microarray Scannner (Agilent Technologies). For data extraction, the images were analyzed with the Feature Extraction software, version 9.1.3. The data analysis was performed with SpliceArray Visualization Tool (ExonHit Therapeutics, Inc.) and Partek Genomic Suite (Partek, Inc.). Data were quantile normalized across arrays, and an ANOVA analysis was performed to select significant probes.
Cell motility assays. Cell motility assays were performed as previously described, (2) and statistical significance were determined with a Student's t test.
Isolation of total cellular RNA, and semiquantitative and quantitative reverse transcription-PCR. Total RNA was isolated from cells using Trizol (Invitrogen) following the manufacturer's protocol. Semiquantitative reverse transcription-PCR (semi–qRT-PCR) and quantitative reverse transcription-PCR (qRT-PCR) were performed as previously described (ref. 2; Supplementary Table S1 lists the oligos sequences). qRT-PCR for glyceraldehyde-3-phosphate dehydrogenase (GAPDH), bop1, and gemin5 was performed with an iQ5 Multicolor Real-time PCR Detection System (Bio-Rad). Diluted cDNA was combined with 15 µmol/L bop1 oligos and 2 x SYBR Green Supermix (Bio-Rad). The relative gene expression value of each gene was calculated by the standard curve of GAPDH with cDNA from the C-100 cells.
Gemin5 silencing. H1-177 cells were transfected with small interfering RNA (siRNA) designed against the coding sequence of gemin5, available from Dharmacon, using HiPerFect (Qiagen). siCONTROL, a nontargeting siRNA pool, was used as a negative control. Transfection assays were performed as previously described (2).
| Results and Discussion |
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10-fold compared with the C-100 cells and were significantly less motile in Boyden chamber assays to 1% fetal bovine serum (FBS) at the passages used herein (Fig. 1A–B
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= 0.6698). Based on an IPA, the most prominent class of altered proteins was that of RNA posttranscriptional modification. Figure 1C lists the top differentially expressed proteins identified in this category; further information is provided in Supplementary Table S2. RNA posttranscriptional processing proteins have rarely been associated with tumor motility or metastasis. The second most common class of differentially expressed proteins, cellular assembly and organization, contained cell surface receptors and cytoskeletal proteins, which were previously identified by microarray analysis (2). Several of the RNA posttranscriptional processing ICAT trends were confirmed using immunoblots. Nm23-H1 overexpressing H1-177 cells exhibited increased levels of Acinus1, which is involved in chromosome condensation and spliceosome function; Gemin5, part of the survival of motor neurons (SMN) complex involved in mRNA splicing; HNRPA2B1, which has diverse roles in mRNA splicing and RNA trafficking; and PABPC1, which functions in both the initiation and termination of translation (Fig. 2A ). Antibodies were unavailable to Bop1, which is involved in pre-rRNA processing. Figure 2B shows its overexpression in H1-177 cells at the mRNA level using qRT-PCR.
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300 differentially expressed proteins (data not shown). For four of the five differentially expressed proteins, overexpression was also observed in the lower metastatic potential K7M2 AS1.46 line (Fig. 2C, columns below the line). These data indicate that alterations in RNA posttranscriptional processing proteins may be a general property of metastasis. Gemin5, which exhibited the largest fold difference between two sets of transfectants, was chosen for further study. Gemin5 modulation of mRNA splicing and tumor cell motility. Alternative mRNA splicing, in which identical pre-mRNA molecules are spliced to form distinct mature mRNAs, may contribute to proteome diversity in both tumorigenesis and progression. Alternative splicing is regulated in part by canonical splicing signals defining intron-exon boundaries and a complex set of exonic splicing enhancers and splicing silencers that preferentially recruit the spliceosomal complex. The spliceosomal complex consists of small nuclear riboprotein particles, which contain small nuclear RNA (snRNA), a core structure composed of seven Sm proteins, and other proteins. The Sm core structure consists of the SMN protein and Gemins 2 to 7 (reviewed in refs. 5–8). Gemin5 plays a critical role in this process. Gemin5 functions as the snRNA binding protein of the SMN complex (9). Gemin5 knockdown in HeLa cells lead to reduced binding of the SMN complex to snRNAs and reduced assembly of Sm cores (9). A role for Gemin5 protein levels in alternative mRNA splicing and tumor progression has not been reported.
To investigate a potential role for differential Gemin5 expression in alternative mRNA splicing, global mRNA splicing patterns were determined using custom 244K SpliceArray chips. Supplementary Table S3 lists splice variants between the control C-100 cells and the Nm23-H1 overexpressing H1-177 cells. Genes with known functions in proliferation, motility and invasion, and apoptosis are represented. To determine which of these mRNA splicing events were caused by Gemin5 overexpression in the H1-177 cells, C-100 cells were transiently transfected with another vector or gemin5 and the SpliceArrays repeated. Table 1
lists genes that were differentially spliced >1.5-fold in replicate arrays of both the (a) control C-100 cells compared with Nm23-H1 expressing H1-177 cells and (b) C-100 cells transiently transfected with another vector compared with gemin5. In general, these genes do not represent the classic genes involved in the mechanics of motility, invasion, or metastasis (actin, Fak, Src, etc.), but many have reported regulatory roles in these processes. For instance, Catenin
-like 1 (CTNNAL1) is part of the Rho signaling complex (10), whereas myelin-associated glycoprotein (MAG) lies upstream of Rho in neuronal signaling and participates in their invasion/outgrowth (11); engulfment and cell motility 1 (ELMO1) is part of the Rac signaling complex (12). Two receptors, FGFR1 and IL-1R, have been reported to regulate motility (13, 14). Calcium/calmodulin-dependent protein kinase IV (CAMK4) regulates sperm motility (15), whereas thrombospondin 4 (THBS4) regulates neurite outgrowth (16). Tie-1 is expressed on both carcinoma and endothelial cells, in the latter where it regulates angiogenesis through interactions with Tie-2 (17). These patterns seemed specific, affecting particular but not all possible splice forms of each gene. Almost all occurred within the coding sequences of genes and most involved either the deletion of an exon or the insertion of a novel exon compared with the wild-type transcript, suggestive of altered biochemical functions.
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The contribution of alternative mRNA splicing to cancer represents an emerging area of research. It is estimated that 74% of human genes encode transcripts that undergo splicing, and that 15% of human genetic diseases are associated with a mutation in either splice junctions or the spliceosomal apparatus (18). Examples include BRCA1 mutations in splice sites, and functional differences in alternatively spliced forms of p73, survivin, caspases, and vascular endothelial growth factor (reviewed in ref. 5). Only one previous report linked alternative mRNA splicing with tumor cell motility. This study revealed that differential expression of exonic splicing enhancer SF2/ASF in Ron mediated motility (18). Our data extend this trend to indicate that expression of critical spliceosome machinery also effects alternative splicing and tumor cell motility. Furthermore, the data suggest the hypothesis that alternative mRNA splicing, which can regulate transcript diversity, is modulated in metastasis and may contribute to metastatic instability.
Translational approaches to alternative mRNA splicing are being reported, including targeted antisense oligos to exonic splicing factors and histone deacetylase inhibitor augmentation of SMN protein levels (19, 20). These efforts indicate that alternative mRNA splicing may be a worthwhile molecular target for cancer.
| Acknowledgments |
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The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.
We thank Dr. Gideon Dreyfuss, University of Pennsylvania, for the Gemin5 construct and Dr. David Goldstein, Center for Cancer Research, National Cancer Institute for assistance with the SpliceArray technology.
| Footnotes |
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4 http://portal.splicearray.com/PortalHome/ ![]()
5 http://www.exonhit.com/html/SpliceArray/index.htm ![]()
Received 7/11/07. Revised 11/19/07. Accepted 12/14/07.
| References |
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-catenin-related protein,
-catulin/CTNNAL1, supports serum response factor activation. J Biol Chem 2002;277:45361–70.This article has been cited by other articles:
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D. R. Welch, C. R. Cooper, D. R. Hurst, C. C. Lynch, M. D. Martin, K. S. Vaidya, M. N. VanSaun, and A. M. Mastro Metastasis Research Society-American Association for Cancer Research Joint Conference on Metastasis Cancer Res., December 1, 2008; 68(23): 9578 - 9582. [Full Text] [PDF] |
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J. D. Fackenthal and L. A. Godley Aberrant RNA splicing and its functional consequences in cancer cells Dis. Model. Mech., July 1, 2008; 1(1): 37 - 42. [Abstract] [Full Text] [PDF] |
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