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<article xml:lang="en" article-type="research-article" xmlns:xlink="http://www.w3.org/1999/xlink">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">IJO</journal-id>
<journal-title-group>
<journal-title>International Journal of Oncology</journal-title></journal-title-group>
<issn pub-type="ppub">1019-6439</issn>
<issn pub-type="epub">1791-2423</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name></publisher></journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/ijo.2016.3688</article-id>
<article-id pub-id-type="publisher-id">ijo-49-05-1953</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject></subj-group></article-categories>
<title-group>
<article-title>Knockdown of RPL9 expression inhibits colorectal carcinoma growth via the inactivation of Id-1/NF-&#x003BA;B signaling axis</article-title></title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Baik</surname><given-names>In Hye</given-names></name><xref rid="af1-ijo-49-05-1953" ref-type="aff">1</xref><xref rid="af2-ijo-49-05-1953" ref-type="aff">2</xref><xref rid="fn1-ijo-49-05-1953" ref-type="author-notes">*</xref></contrib>
<contrib contrib-type="author">
<name><surname>Jo</surname><given-names>Guk-Heui</given-names></name><xref rid="af3-ijo-49-05-1953" ref-type="aff">3</xref><xref rid="fn1-ijo-49-05-1953" ref-type="author-notes">*</xref></contrib>
<contrib contrib-type="author">
<name><surname>Seo</surname><given-names>Daekwan</given-names></name><xref rid="af4-ijo-49-05-1953" ref-type="aff">4</xref></contrib>
<contrib contrib-type="author">
<name><surname>Ko</surname><given-names>Min Ji</given-names></name><xref rid="af1-ijo-49-05-1953" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>Cho</surname><given-names>Chi Heum</given-names></name><xref rid="af5-ijo-49-05-1953" ref-type="aff">5</xref></contrib>
<contrib contrib-type="author">
<name><surname>Lee</surname><given-names>Min Goo</given-names></name><xref rid="af2-ijo-49-05-1953" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author">
<name><surname>Lee</surname><given-names>Yun-Han</given-names></name><xref rid="af1-ijo-49-05-1953" ref-type="aff">1</xref><xref ref-type="corresp" rid="c1-ijo-49-05-1953"/></contrib></contrib-group>
<aff id="af1-ijo-49-05-1953">
<label>1</label>Department of Molecular Medicine, Keimyung University School of Medicine, Daegu, Republic of Korea</aff>
<aff id="af2-ijo-49-05-1953">
<label>2</label>Department of Pharmacology and Brain Korea 21 Project for Medical Sciences, Yonsei University College of Medicine, Seoul, Republic of Korea</aff>
<aff id="af3-ijo-49-05-1953">
<label>3</label>Myunggok Eye Research Institute, Kim's Eye Hospital, Konyang University College of Medicine, Seoul, Republic of Korea</aff>
<aff id="af4-ijo-49-05-1953">
<label>4</label>Severance Biomedical Science Institute, Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, Republic of Korea</aff>
<aff id="af5-ijo-49-05-1953">
<label>5</label>Department of Obstetrics and Gynecology, Keimyung University School of Medicine, Daegu, Republic of Korea</aff>
<author-notes>
<corresp id="c1-ijo-49-05-1953">Correspondence to: Professor Yun-Han Lee, Department of Molecular Medicine, Keimyung University School of Medicine, 1095 Dalgubeol-daero, Dalseo-gu, Daegu 42601, Republic of Korea, E-mail: <email>yhlee87@kmu.ac.kr</email></corresp><fn id="fn1-ijo-49-05-1953">
<label>*</label>
<p>Contributed equally</p></fn></author-notes>
<pub-date pub-type="collection">
<month>11</month>
<year>2016</year></pub-date>
<pub-date pub-type="epub">
<day>13</day>
<month>09</month>
<year>2016</year></pub-date>
<volume>49</volume>
<issue>5</issue>
<fpage>1953</fpage>
<lpage>1962</lpage>
<history>
<date date-type="received">
<day>30</day>
<month>06</month>
<year>2016</year></date>
<date date-type="accepted">
<day>25</day>
<month>08</month>
<year>2016</year></date></history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2016, Spandidos Publications</copyright-statement>
<copyright-year>2016</copyright-year></permissions>
<abstract>
<p>Ribosomal protein L9 (RPL9), a component of the 60S subunit for protein synthesis, is upregulated in human colorectal cancer. In the present study, we investigated whether RPL9 gained extraribosomal function during tumorigenesis and whether targeting of RPL9 with small interfering (si) RNA could alter the course of colorectal cancer progression. Our results showed that siRNA knockdown of RPL9 suppresses colorectal cancer (CRC) cell growth and long-term colony formation through an increase in sub-G1 cell population and a strong induction of apoptotic cell death. To obtain insights into the molecular changes in response to RPL9 knockdown, global changes in gene expression were examined using RNA sequencing. It revealed that RPL9-specific knockdown led to dysregulation of 918 genes in HCT116 and 3178 genes in HT29 cells. Among these, 296 genes showed same directional regulation (128 upregulated and 168 downregulated genes) and were considered as a common RPL9 knockdown signature. Particularly, we found through a network analysis that Id-1, which is functionally associated with activation of NF-&#x003BA;B and cell survival, was commonly downregulated. Subsequent western blot analysis affirmed that RPL9 silencing induced the decrease in the levels of Id-1 and phosphorylated I&#x003BA;B&#x003B1; in both HCT116 and HT29 cells. Also, the same condition decreased the levels of PARP-1 and pro-caspase-3, accelerating apoptosis. Furthermore, inhibition of RPL9 expression significantly suppressed the growth of human CRC xenografts in nude mice. These findings indicate that the function of RPL9 is correlated with Id-1/NF-&#x003BA;B signaling axis and suggest that targeting RPL9 could be an attractive option for molecular therapy of colorectal cancer.</p></abstract>
<kwd-group>
<kwd>colorectal cancer</kwd>
<kwd>RPL9</kwd>
<kwd>RNA interference</kwd>
<kwd>extra-ribosomal function</kwd>
<kwd>Id-1</kwd>
<kwd>NF-&#x003BA;B</kwd>
<kwd>apoptosis</kwd></kwd-group></article-meta></front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Colorectal cancer is the third most common cancer worldwide and the fourth leading cause of cancer-related death (<xref rid="b1-ijo-49-05-1953" ref-type="bibr">1</xref>). The patients diagnosed with colorectal cancer often develop colorectal metastases and approximately 80&#x02013;90&#x00025; of these patients are found with unresectable metastatic liver disease (<xref rid="b2-ijo-49-05-1953" ref-type="bibr">2</xref>). Colorectal cancer is associated with the progressive accumulation of mutations in oncogenes and tumor suppressor genes. These tumor-specific mutations are the key to understand the cellular processes underlying tumorigenesis and could be used as diagnostic and therapeutic targets (<xref rid="b3-ijo-49-05-1953" ref-type="bibr">3</xref>).</p>
<p>Ribosomal proteins (RPs) are one of the components of ribosomes and there are approximately 80 RPs in eukaryotes (<xref rid="b4-ijo-49-05-1953" ref-type="bibr">4</xref>). RPs are known to stabilize specific rRNA structures in mature ribosomal subunits and promote correct folding of rRNAs during ribosomal assembly. However, not only RPs have crucial role in protein biosynthesis, but recent studies have also associated them to human congenital disorders and cancers (<xref rid="b5-ijo-49-05-1953" ref-type="bibr">5</xref>). For example, RPS4 has been implicated in Turner's syndrome (<xref rid="b6-ijo-49-05-1953" ref-type="bibr">6</xref>), and mutant RPS19 was found in individuals with Diamond-Blackfan anemia (<xref rid="b7-ijo-49-05-1953" ref-type="bibr">7</xref>). Hence, the functions of RPs that are independent of protein biosynthesis are called extraribosomal functions. The extraribosomal functions include transcription and repair, RNA splicing and modification, cell growth and proliferation, regulation of apoptosis and development (<xref rid="b8-ijo-49-05-1953" ref-type="bibr">8</xref>). Moreover, knockdown of many individual RPs resulted in p53 accumulation, cell death and defective development (<xref rid="b8-ijo-49-05-1953" ref-type="bibr">8</xref>,<xref rid="b9-ijo-49-05-1953" ref-type="bibr">9</xref>). Various RPs have been found to be overexpressed in many cancer cells and are associated with the development and progression of malignant cancers (<xref rid="b9-ijo-49-05-1953" ref-type="bibr">9</xref>). For instance, in gastric cancer cell line, RPL6 promoted cell cycle progression and cancer cell proliferation by upregulating the expression of cyclin E (<xref rid="b10-ijo-49-05-1953" ref-type="bibr">10</xref>). Also, phosphorylated RPS3 activated anti-apoptotic protein TRAF2 and enhanced radio-resistance in non-small cell lung cancer cells (<xref rid="b11-ijo-49-05-1953" ref-type="bibr">11</xref>).</p>
<p>Ribosomal protein L9 (RPL9) is a component of the 60S subunit that belongs to the L6P family of ribosomal proteins. From what we have gathered, RPL9's extraribosomal function is not known, but one of the studies have suggested that human RPL9 appears to be involved with the uncontrolled growth by promoting stress-mediated survival and that RPL9 is more like anti-apoptotic-encoding RP genes in yeast (<xref rid="b12-ijo-49-05-1953" ref-type="bibr">12</xref>). In addition, there are reports that RPL9 gene is overexpressed in colorectal cancer compared to normal colon (<xref rid="b5-ijo-49-05-1953" ref-type="bibr">5</xref>,<xref rid="b13-ijo-49-05-1953" ref-type="bibr">13</xref>,<xref rid="b14-ijo-49-05-1953" ref-type="bibr">14</xref>), which provides the possibility that RPL9 might be involved in tumorigenesis of colorectal cancer.</p>
<p>The aim of the present study was to define the extraribosomal function of RPL9 in colorectal cancer progression. Using RNA interference (RNAi) techniques, we targeted RPL9 gene in colorectal cancer HCT116 and HT29 cells. We found that silencing of RPL9 inhibited colorectal cancer cell growth <italic>in vitro</italic> as well as <italic>in vivo</italic> and caused apoptotic cell death. The anti-proliferative effects were induced through a common subset of molecular alterations of 296 mRNA transcripts, including downregulation of Id-1 (inhibitor of DNA binding-1) (<xref rid="b15-ijo-49-05-1953" ref-type="bibr">15</xref>). Western blotting proved that the decrease in Id-1 protein level by RPL9 knockdown was accompanied with the reduction in I&#x003BA;B&#x003B1; phosphorylation, which suggests that RPL9 is functionally associated with Id-1/NF-&#x003BA;B signaling pathway and that the regulation of RPL9 expression may be a potential therapeutic target in colorectal cancer treatment.</p></sec>
<sec sec-type="materials|methods">
<title>Materials and methods</title>
<sec>
<title>Cell culture and siRNA transfection</title>
<p>Human colorectal cancer cell lines, HCT116 and HT29, were purchased from the Korean Cell Line Bank (KCLB; Seoul, Republic of Korea). Both HCT116 and HT29 cells were cultured in RPMI-1640 medium (Corning Incorporated, Corning, NY, USA) supplemented with 10&#x00025; of fetal bovine serum (FBS; HyClone Laboratories, Logan, UT, USA) and 1&#x00025; of penicillin/streptomycin solution (HyClone Laboratories), in a 37&#x000B0;C humidified incubator with a mixture of 95&#x00025; air and 5&#x00025; CO<sub>2</sub>. The phenotypes of these cell lines have been authenticated by the KCLB. Cells were plated at 30&#x00025; density 24 h before transfection. A total of 15 nM siRNA was mixed with Lipofectamine 2000 (Invitrogen, Carlsbad, CA, USA) in Opti-MEM (Invitrogen) and the medium was replaced 6 h after transfection. RPL9 siRNA duplexes (si-RPL9) were chemically synthesized by Ambion (Austin, TX, USA; siRNA ID# s226955). The negative control siRNA (si-NC) that does not target any endogenous transcript was used for control experiments. The sequences of si-NC (Bioneer, Daejeon, South Korea) are as follows: 5&#x02032;-ACGUGA CACGUUCGGAGAA(UU)-3&#x02032; (sense) and 5&#x02032;-UUCUCCGAAC GUGUCACGU-3&#x02032; (antisense).</p></sec>
<sec>
<title>Cell proliferation assay</title>
<p>Cell growth was measured using the Cell Counting kit-8 (Dojindo Laboratories, Kumamoto, Japan) according to the manufacturer's instructions. Log phase cells were trypsinized into single cell suspension and HCT116 (2&#x000D7;10<sup>3</sup> cells) and HT29 (1&#x000D7;10<sup>3</sup> cells) were seeded into 96-well plates. After 24 h, cells were transfected as described above and after day 1, day 2, day 3 and day 4 of cell culture, the CCK-8 solution was added into each well. After 2 h, OD value was measured at a wavelength of 450 nm using a VersaMax microplate reader (Molecular Devices, Sunnyvale, CA, USA).</p></sec>
<sec>
<title>Quantitative real-time RT-PCR (RT-qPCR)</title>
<p>The changes in target gene expression were detected using RT-qPCR. Total RNA was isolated using TRIzol (Ambion) and synthesized into cDNA by using first strand cDNA synthesis kit (Takara Bio, Shiga, Japan) according to the manufacturer's instruction. cDNAs were then amplified using corresponding pair of primers (RPL9 forward, 5&#x02032;-GCACAG TTATCGTGAAGG GC-3&#x02032; and RPL9 reverse, 5&#x02032;-TTACCC CACCATTTGTCAA CC-3&#x02032;; GAPDH forward, 5&#x02032;-GGGAGCCAAAAGGGTCATCA TCTC-3&#x02032; and GAPDH reverse, 5&#x02032;-CCATGCCAGTGAGCTT CCCGTTC-3&#x02032;) synthesized by Macrogen (Seoul, Republic of Korea). The relative quantification of mRNA was measured by LightCycler 96 (Roche, Basel, Switzerland) according to the manufacturer&#x02032;s instructions and quantified using LightCycler 96 software version 1.1, comparing with the Ct (threshold cycle) values of each target gene. The mRNA levels of GAPDH were used for normalization.</p></sec>
<sec>
<title>Clonogenic assay</title>
<p>siRNA transfected cells were seeded into three independent wells of 6-well culture plates (1&#x000D7;10<sup>3</sup> cells/well) and cultured at 37&#x000B0;C in 5&#x00025; CO<sub>2</sub>. Cells were maintained without medium change to let the viable cells propagate to sizable colonies for quantification. The colonies were fixed with methanol and then stained with 0.5&#x00025; crystal violet for 30 min at room temperature. The number of colonies formed in each well was counted under the microscope and statistically analyzed.</p></sec>
<sec>
<title>Cell cycle analysis</title>
<p>Cells were cultured in 60-mm culture dishes and harvested at 72 h after siRNA transfection. Cells were washed with cold PBS, and then fixed 24 h with 70&#x00025; cold ethanol at &#x02212;20&#x000B0;C. Cells were washed with cold PBS again and incubated in a dark condition with propidium iodide (PI) staining solution containing RNase A (BD Biosciences, San Diego, CA, USA) for 30 min at room temperature. The cell cycle was measured by FACSVerse flow cytometry (BD Biosciences) according to the manufacturer's instructions and quantified using FlowJo software program.</p></sec>
<sec>
<title>Detection of apoptosis</title>
<p>Cells were cultured in 60-mm culture dishes and harvested at 48 and 72 h after siRNA transfection. Apoptotic cells were stained with Annexin V and PI using FITC Annexin V apoptosis detection kit I (BD Biosciences) following the manufacturer's instruction. The cell death was measured by FACSVerse flow cytometry (BD Biosciences) and quantified using FlowJo software program.</p></sec>
<sec>
<title>RNA sequencing</title>
<p>Total RNA was extracted 48 h after siRNA transfection using the RNeasy mini kit (Qiagen, Valencia, CA, USA). The quantity of the total RNA was evaluated using RNA electropherograms (Bio-Rad Experion; Bio-Rad Laboratories, Hercules, CA, USA); RNA quality was assessed based on the RNA quality indicator (RQI). The total RNA from each sample with a RQI value of 8.0 or higher was used. The resulting mRNA samples were processed for sequencing libraries using the Illumina TruSeq Stranded mRNA sample preparation kit (Illumina, San Diego, CA, USA) according to the manufacturer's protocols. RNA sequencing was performed using the Illumina HiSeq 2500 to generate non-directional, paired-end 100-base-pair reads. Quality-filtered reads were mapped to the human reference genome sequence hg19 (UCSC Genome Bioinformatics, <ext-link xlink:href="https://genome.ucsc.edu" ext-link-type="uri">https://genome.ucsc.edu</ext-link>) using TopHat2 (<ext-link xlink:href="http://ccb.jhu.edu/software/tophat" ext-link-type="uri">http://ccb.jhu.edu/software/tophat</ext-link>). The relative transcript abundance was estimated by counting the fragments per kilo-base of the exon model per million mapped sequence reads (FPKM), and differentially expressed genes were evaluated using the cufflinks package (<ext-link xlink:href="http://cole-trapnell-lab.github.io/cufflinks" ext-link-type="uri">http://cole-trapnell-lab.github.io/cufflinks</ext-link>). The significantly overlapping pathways and Gene Ontology categories with differentially expressed genes were analyzed using DAVID (<ext-link xlink:href="http://david.abcc.ncifcrf.gov" ext-link-type="uri">http://david.abcc.ncifcrf.gov</ext-link>) and IPA (ingenuity pathway analysis, <ext-link xlink:href="www.ingenuity.com" ext-link-type="uri">www.ingenuity.com</ext-link>).</p></sec>
<sec>
<title>Western blot analysis</title>
<p>Cells were suspended in RIPA buffer (Thermo Fisher Scientific, Inc., Rockford, IL, USA) containing 0.01&#x00025; of a protease and phosphatase inhibitor cocktail (Thermo Fisher Scientific) at 48 h after siRNA transfection. The amount of protein was quantified by using the Pierce BCA protein assay kit (Thermo Fisher Scientific). Nuclear-cytoplasmic fractionation was conducted using the NE-PER Nuclear and Cytoplasmic Extraction Reagents kit (Thermo Fisher Scientific) according to the manufacturer's protocol. Equal amounts of total proteins were fractionated by SDS-PAGE on a 10&#x00025; gel and transferred to PVDF membranes (Roche, Basel, Switzerland). 0.1&#x00025; naphthol blue black (NBB) (Sigma-Aldrich, Seoul, Republic of Korea) was used to stain PVDF membrane to confirm equal sample loading. The membrane was blocked with 5&#x00025; milk/Tris-buffered saline plus Tween-20 (TBST) and incubated with primary antibodies against human Id-1 (sc-133104), PARP-1 (sc-8007), NF-&#x003BA;B p65 (sc-372), Lamin B1 (sc-30264), &#x003B2;-actin (sc-47778) (all from Santa Cruz Biotechnology, Santa Cruz, CA, USA), caspase-3 (#9662; Cell Signaling Technology, Danvers, MA, USA), Phospho-I&#x003BA;B&#x003B1; (Ser32/36) (#9246; Cell Signaling Technology), GAPDH (NB600-502; Novus Biologicals LLC, Littleton, CO, USA), RPL9 (ab182556; Abcam, Cambridge, MA, USA). HRP goat anti-mouse IgG, HRP goat anti-rabbit IgG and HRP rabbit anti-goat IgG (Santa Cruz Biotechnology) were used as the secondary antibodies. Immunoreactive bands were visualized with an LAS-3000 Imager (Fujifilm Corp., Tokyo, Japan).</p></sec>
<sec>
<title>Tumorigenic assay in nude mice</title>
<p>Tumor formation was assessed to define the effects of RPL9 silencing on tumorigenicity <italic>in vivo</italic>. HCT116 cells were transfected with si-NC or si-RPL9 using Lipofectamine 2000. Twenty-four hours after transfection, cells were harvested by trypsinization and then they were washed and resuspended in RPMI mixed with Matrigel (Corning Incorporated). Cells (1&#x000D7;10<sup>6</sup>) transfected with si-NC and si-RPL9 were injected subcutaneously into the left and right flank, respectively, of 4-week old male BALB/c nude mice (Orient Bio, Inc., Seongnam, Korea). Tumor formation was monitored at 2-day intervals for 14 days after tumor injection. The tumor size was measured using a vernier caliper and calculated as (width<sup>2</sup> &#x000D7; length &#x000D7; 1/2). The mice were then sacrificed and tumor weight of each mouse was evaluated. All the animal experiments were performed in accordance with the guidelines of IACUC (Institutional Animal Care and Use Committee) in Yonsei University Health System with the approval number 2015&#x02013;0066.</p></sec>
<sec>
<title>Statistical analysis</title>
<p>All the statistical analysis was performed using Student's t-test, except for <italic>in vivo</italic> experiment data which was applied with Bootstrap t-test with 10,000 random repetitions. All data are shown as means &#x000B1; SEM. P-values &#x02264;0.05, &#x02264;0.01 and &#x02264;0.001 were considered as statistically significant.</p></sec></sec>
<sec sec-type="results">
<title>Results</title>
<sec>
<title>RPL9 knockdown inhibits colorectal cancer cell proliferation and long-term colony formation</title>
<p>To test the effect of RPL9 knockdown on colorectal cancer cell survival, we transfected HCT116 and HT29 cells with si-NC or si-RPL9. After 96 h, we found from microscopic observation that the cell viability of RPL9 knockdown cells had decreased notably (<xref rid="f1-ijo-49-05-1953" ref-type="fig">Fig. 1A</xref>). In addition, we observed the maximum growth suppression of ~60&#x02013;80&#x00025; in both HCT116 and HT29 cells after 4 days of treatment (<xref rid="f1-ijo-49-05-1953" ref-type="fig">Fig. 1B</xref>). Concordance with the phenotypic assay result, si-RPL9 effectively silenced target gene expression in both the examined tumor cell lines (<xref rid="f1-ijo-49-05-1953" ref-type="fig">Fig. 1C</xref>). Consistent with the short-term results, RPL9 knockdown effectively suppressed the long-term colony formation of HCT116 and HT29 cells at day 7 and day 10, respectively, by ~60&#x00025; inhibition in both cell lines (<xref rid="f2-ijo-49-05-1953" ref-type="fig">Fig. 2</xref>). These data indicate that RPL9 is functionally involved in colorectal cell growth.</p></sec>
<sec>
<title>Silencing of RPL9 induces apoptosis in colorectal cancer cells</title>
<p>To further investigate the role of RPL9 in colorectal cancer growth, the effect of RPL9 silencing on cell cycle progression of HCT116 and HT29 cells were analyzed with flow cytometry (<xref rid="f3-ijo-49-05-1953" ref-type="fig">Fig. 3A</xref>). It revealed that, when compared to the control treatment, RPL9 knockdown cells showed increased percentage of sub-G1 population and a concomitant decrease in the G1-phase cells in both HCT116 and HT29 cells (<xref rid="f3-ijo-49-05-1953" ref-type="fig">Fig. 3B</xref>). Since sub-G1 population represents apoptotic cells, we then confirmed the phenomenon by staining CRC cells with the apoptotic marker Annexin V using FACS. Consequently, we affirmed that siRNA knockdown of RPL9 significantly induced the apoptotic cell death at 72 h after transfection (<xref rid="f4-ijo-49-05-1953" ref-type="fig">Fig. 4A</xref>). Moreover, the percentages of early-apoptotic cell populations (Q3 region) plus late-apoptotic cell populations (Q2 region) in HCT116 and HT29 cells have increased in both 48 and 72 h after transfection (<xref rid="f4-ijo-49-05-1953" ref-type="fig">Fig. 4B</xref>). Early apoptotic cells are considered as cells that have intact plasma membrane which expose phosphatidylserine (PS) on the surface and late apoptotic cells have permeabilized plasma membrane (<xref rid="b16-ijo-49-05-1953" ref-type="bibr">16</xref>). These results suggest that RPL9 knockdown induces apoptosis in colorectal cancer cells.</p></sec>
<sec>
<title>The function of RPL9 correlates with Id-1/NF-&#x003BA;B signaling</title>
<p>To explore the molecular basis of the growth inhibition caused by RPL9 silencing, we compared the global gene expression profiles of RPL9 knockdown HCT116 and HT29 cells to those of control cells transfected with si-NC using next-generation RNA sequencing. The global gene expression analysis, defined as at least a 2.0-fold change, revealed that RPL9-specific knockdown resulted in the upregulation and downregulation of 918 RNA transcripts in HCT116 and 3178 transcripts in HT29 cells (<xref rid="f5-ijo-49-05-1953" ref-type="fig">Fig. 5A</xref>). Comparing these two gene sets generated a statistically significant overlap of 296 genes (128 upregulated and 168 downregulated genes) which are considered as a common RPL9 knockdown signature (<xref rid="f5-ijo-49-05-1953" ref-type="fig">Fig. 5B</xref>). Subsequent IPA showed that the 269 mRNA transcripts were functionally enriched in the top five networks (<xref rid="tI-ijo-49-05-1953" ref-type="table">Table I</xref>). In particular, as shown in <xref rid="f5-ijo-49-05-1953" ref-type="fig">Fig. 5C</xref>, we found that the expression level of Id-1, which is involved in carcinogenesis (<xref rid="b17-ijo-49-05-1953" ref-type="bibr">17</xref>) and NF-&#x003BA;B activation (<xref rid="b18-ijo-49-05-1953" ref-type="bibr">18</xref>), was downregulated in mRNA level by RPL9 silencing. Consistent with our observation, it was previously demonstrated that Id-1 silenced colorectal cancer cells resulted in decreased proliferation and increased apoptotic rate (<xref rid="b15-ijo-49-05-1953" ref-type="bibr">15</xref>). Subsequent western blot analysis confirmed that the protein level of Id-1 was decreased in RPL9 knockdown HCT116 and HT29 cells when compared to the control (<xref rid="f6-ijo-49-05-1953" ref-type="fig">Fig. 6A</xref>). In addition, a concomitant decrease in pro-caspase 3, which activate apoptotic signaling, and PARP-1, a nuclear enzyme essential for genomic stability, were observed (<xref rid="f6-ijo-49-05-1953" ref-type="fig">Fig. 6A</xref>). Meanwhile, I&#x003BA;B&#x003B1; is an inhibitory protein that binds with NF-&#x003BA;B in the cytosol making NF-&#x003BA;B into an inactivated state. However, when I&#x003BA;B&#x003B1; becomes phosphorylated it dissociates from NF-&#x003BA;B. Then the activated NF-&#x003BA;B translocates into the nucleus where it binds to the specific sequences of DNA causing changes in cell function such as promoting cell survival (<xref rid="b19-ijo-49-05-1953" ref-type="bibr">19</xref>). We observed that the protein level of p-I&#x003BA;B&#x003B1; is decreased by RPL9 silencing (<xref rid="f6-ijo-49-05-1953" ref-type="fig">Fig. 6A</xref>), and NF-&#x003BA;B protein level also decreased in nucleic fraction of the RPL9 knockdown colorectal cancer cells (<xref rid="f6-ijo-49-05-1953" ref-type="fig">Fig. 6B</xref>). Since the expression level of housekeeping proteins may vary depending on the experimental condition (<xref rid="b20-ijo-49-05-1953" ref-type="bibr">20</xref>,<xref rid="b21-ijo-49-05-1953" ref-type="bibr">21</xref>), equal sample loading was confirmed by naphthol blue black staining of the western blot membrane (<xref rid="f6-ijo-49-05-1953" ref-type="fig">Fig. 6B</xref>). These findings indicate that the function of RPL9 is associated with Id-1/NF-&#x003BA;B signaling pathway in colorectal cancer cells.</p></sec>
<sec>
<title>Silencing of RPL9 delays tumor growth kinetics in vivo</title>
<p>To further validate the effects of RPL9 knockdown on tumorigenesis of colorectal cancer, tumor formation assay was performed in BALB/c nude mice. si-NC and si-RPL9 transfected HCT116 cells were subcutaneously inoculated into the left and right flank, respectively. Tumor sizes were measured in 2-day interval for 14 days. Eight days after the inoculation, tumor sizes between the control and RPL9 knock-down showed definite difference and that the control tumor sizes were larger (P&lt;0.05) (<xref rid="f7-ijo-49-05-1953" ref-type="fig">Fig. 7A</xref>). After 14 days, a significant difference (P&lt;0.001) was apparent in size and weight between the control and RPL9 knock-down (<xref rid="f7-ijo-49-05-1953" ref-type="fig">Fig. 7</xref>). The results show that silencing of RPL9 significantly suppresses the growth of human CRC xenografts <italic>in vivo</italic>.</p></sec></sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>Ribosomal proteins are known as the components of ribosomes which play a role in protein biosynthesis. However, in many types of human cancer cells, some of these ribosomal proteins are ectopically expressed compared to normal cells. For example, the mRNA expression of S8, L12, L23a, L27 and L30 ribosomal proteins was upregulated in human hepatocellular carcinoma (<xref rid="b22-ijo-49-05-1953" ref-type="bibr">22</xref>). RPL34 was overexpressed in non-small cell lung cancer cells (<xref rid="b23-ijo-49-05-1953" ref-type="bibr">23</xref>), and RPS13 was found to promote the growth and cell cycle progression of gastric cancer cells through inhibiting p27<sup>Kip1</sup> expression (<xref rid="b9-ijo-49-05-1953" ref-type="bibr">9</xref>). Reversely, it was demonstrated that RPS29 induces apoptosis in non-small cell lung cancer cells by downregulating Bcl-2, Bcl-XL and survivin and upregulating p53 and Bax (<xref rid="b24-ijo-49-05-1953" ref-type="bibr">24</xref>). Recent evidence suggests that ribosomal proteins are not only involved in the protein synthesis but also in the development of cancer, and it is likely that these proteins exhibit secondary functions called extraribosomal functions (<xref rid="b25-ijo-49-05-1953" ref-type="bibr">25</xref>).</p>
<p>In colorectal cancer cells, the overexpression of ribosomal protein L9 was found (<xref rid="b5-ijo-49-05-1953" ref-type="bibr">5</xref>,<xref rid="b13-ijo-49-05-1953" ref-type="bibr">13</xref>,<xref rid="b14-ijo-49-05-1953" ref-type="bibr">14</xref>), yet, there is no report on the function of RPL9 in human cancers. In this study we aimed at finding the extraribosomal function of RPL9 in colorectal cancer cells. We used RNAi system to knockdown RPL9 and observed strong inhibition in cell proliferation and colony formation of HCT116 and HT29, which demonstrates that RPL9 is important for the growth of colorectal cancer. Also, we found an increased sub-G1 population in cell cycle analysis and likewise, a significant increase of apoptotic cells. Furthermore, <italic>in vivo</italic> mouse model showed that silencing of RPL9 delayed tumor growth. The global gene expression profiles of RPL9 knockdown HCT116 and HT29 cells to those of control cells by next-generation RNA sequencing showed common knockdown signature of 296 genes. These data suggest that RPL9 is differentially involved in protein synthesis, but does not influence entire cellular protein synthesis in a non-specific manner. Therefore, silencing of RPL9 does not end up downregulating the protein synthesis as a whole but it is rather gene-specific and protein-specific (<xref rid="b26-ijo-49-05-1953" ref-type="bibr">26</xref>).</p>
<p>Of all the genes that were dysregulated by RPL9 knockdown, we focused on finding the particular molecule that might be involved in inducing apoptosis in colorectal cancer cells. Thus, in network 2 of the IPA analysis, we found an oncogenic Id-1 (<xref rid="b15-ijo-49-05-1953" ref-type="bibr">15</xref>) was downregulated. Id-1, a helix-loop-helix (HLH) protein, is known to functionally involve in cell growth, senescence and differentiation. Increased Id-1 expression has been found in over 20 types of human cancers including colorectal (<xref rid="b27-ijo-49-05-1953" ref-type="bibr">27</xref>), breast (<xref rid="b28-ijo-49-05-1953" ref-type="bibr">28</xref>), prostate (<xref rid="b29-ijo-49-05-1953" ref-type="bibr">29</xref>) and cervical cancers (<xref rid="b30-ijo-49-05-1953" ref-type="bibr">30</xref>). Many studies suggested that Id-1 plays a key role in cancer progression and associated it as a prognostic marker. According to a study, Id-1 knockdown colorectal cancer cells were decreased in proliferation, migration and invasion and increased in apoptosis rate (<xref rid="b15-ijo-49-05-1953" ref-type="bibr">15</xref>). Therefore, overexpression of Id-1 protects cancer cells against apoptosis, but decreasing the Id-1 expression would lead cancer cells to apoptosis. We found by western blotting that the protein level of Id-1 was decreased in RPL9 knockdown HCT116 and HT29 cells compared to the control. This finding shows that silencing of RPL9 decreased Id-1 protein expression in a mechanism we have not explored and may have induced apoptosis in CRC cells. In addition, Id-1 has been shown to promote cell survival by activating PI3K/Akt/NF-&#x003BA;B signaling pathway in esophangeal cancer and it has been suggested that it may be one of the upstream regulators of NF-&#x003BA;B (<xref rid="b18-ijo-49-05-1953" ref-type="bibr">18</xref>,<xref rid="b31-ijo-49-05-1953" ref-type="bibr">31</xref>). NF-&#x003BA;B is a transcription factor that translocates the nucleus and mediates the transcription of a vast array of proteins involved in cell survival and proliferation, and anti-apoptotic factors (<xref rid="b32-ijo-49-05-1953" ref-type="bibr">32</xref>). Hence, we investigated the change in NF-&#x003BA;B activity in RPL9 knockdown HCT116 and HT29 cells and observed that protein level of p-I&#x003BA;B&#x003B1; was decreased and NF-&#x003BA;B protein level decreased in the nuclear fraction of RPL9 silenced cells. These results reveal that the downregulation of RPL9 cause inactivation of Id-1 and NF-&#x003BA;B, which leads to apoptosis of colorectal cancer cells.</p>
<p>In <xref rid="f6-ijo-49-05-1953" ref-type="fig">Fig. 6B</xref>, Lamin B1, a nuclear loading control, shows slight decrease in RPL9 knockdown HCT116 cell. The reason for this may be that Lamin B1 is involved in apoptosis and often cleaved by caspases or becomes degraded (<xref rid="b33-ijo-49-05-1953" ref-type="bibr">33</xref>,<xref rid="b34-ijo-49-05-1953" ref-type="bibr">34</xref>). Depending on the experimental conditions, the expression level of a particular housekeeping gene may change. Hence, there are studies that argue that reversible protein staining dye can be used advantageously over housekeeping protein detection for quality or equal loading control in western blotting (<xref rid="b20-ijo-49-05-1953" ref-type="bibr">20</xref>,<xref rid="b21-ijo-49-05-1953" ref-type="bibr">21</xref>). Therefore, we stained the transferred membrane with naphthol blue black and confirmed equal sample loading of western blotting.</p>
<p>In the present study, we demonstrated for the first time that silencing of RPL9 by RNAi suppresses the proliferation and induces apoptosis in colorectal cancer cells by <italic>in vitro</italic> and <italic>in vivo</italic> assays. Also, we found that the downregulation of RPL9 induces the inactivation of Id-1/NF-&#x003BA;B signaling axis. Taken together, our findings suggest that RPL9 may play an important role in promoting the malignant growth of colorectal cancer cells and that targeting of RPL9 might be an attractive option for exploiting a next-line molecular therapy of colorectal cancer.</p></sec></body>
<back>
<ack>
<title>Acknowledgements</title>
<p>The present study was financially supported by the grants from the Korean Health Technology R&amp;D Project, Ministry of Health &amp; Welfare (A121982) and the Mid-career Researcher Program of the Ministry of Education, Science and Technology (NRF-2014R1A2A1A11054162), Republic of Korea. This study was also supported by the National Research Foundation of Korea (NRF) Grant funded by the Korean Government (MSIP) (NRF-2014R1A5A2010008).</p></ack>
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<floats-group>
<fig id="f1-ijo-49-05-1953" position="float">
<label>Figure 1</label>
<caption>
<p>siRNA knockdown of RPL9 inhibits growth of colorectal cancer cells. (A) Representative light microscopy images of HCT116 and HT29 cells 96 h after transfection. Scale bar, 100 &#x003BC;m. (B) Detection of cell viability on day 1, day 2, day 3 and day 4 after transfection in HCT116 and HT29 cells. It is expressed as fold changes relative to si-NC. Data represent three independent experiments (<sup>***</sup>P&lt;0.001 by Student's t-test). (C) Detection of RPL9 mRNA expression in HCT116 and HT29 cells at 48 h after transfection. The data are shown as means &#x000B1; SEM of triplicate experiments (<sup>**</sup>P&lt;0.01; <sup>***</sup>P&lt;0.001 by Student's t-test). si-NC, negative control siRNA; si-RPL9, RPL9 specific siRNA.</p></caption>
<graphic xlink:href="IJO-49-05-1953-g00.gif"/></fig>
<fig id="f2-ijo-49-05-1953" position="float">
<label>Figure 2</label>
<caption>
<p>Knockdown of RPL9 reduces long-term colony formation in colorectal cancer cells. (A) Observation of long-term colony formation by clonogenic assay at 7 days and 10 days after transfection in HCT116 and HT29 cells, respectively. (B) The number of colonies was counted and graphed to compare effectively. The data represent three independent experiments (<sup>***</sup>P&lt;0.001 by Student's t-test).</p></caption>
<graphic xlink:href="IJO-49-05-1953-g01.gif"/></fig>
<fig id="f3-ijo-49-05-1953" position="float">
<label>Figure 3</label>
<caption>
<p>Silencing of RPL9 increases the sub-G1 population in HCT116 and HT29 cells. (A) FACS analysis of cell cycle progression at 72 h after transfection with si-NC and si-RPL9 is shown in the histogram. (B) For each phase of the cell cycle, percentage of cells is shown in bar graph. The data are shown as means &#x000B1; SEM of triplicate experiments (<sup>*</sup>P&lt;0.05; <sup>**</sup>P&lt;0.01 by Student's t-test).</p></caption>
<graphic xlink:href="IJO-49-05-1953-g02.gif"/></fig>
<fig id="f4-ijo-49-05-1953" position="float">
<label>Figure 4</label>
<caption>
<p>RPL9 silencing induces apoptosis in colorectal cancer cells. (A) Detection of the apoptotic cell population through FACS analysis with the intensity of apoptotic marker Annexin V in HCT116 and HT29 cells at 72 h after transfection. (B) Number of Annexin V positive cells at 48 and 72 h after transfection. The data represent three independent experiments (<sup>**</sup>P&lt;0.01; <sup>***</sup>P&lt;0.001 by Student's t-test).</p></caption>
<graphic xlink:href="IJO-49-05-1953-g03.gif"/></fig>
<fig id="f5-ijo-49-05-1953" position="float">
<label>Figure 5</label>
<caption>
<p>Transcriptomic analysis of RPL9 knockdown gene expression by RNA sequencing. (A) Venn diagrams represent the number of mRNA transcripts upregulated or downregulated at 48 h after transfection in HCT116 or HT29 cells. (B) A heat map of the 296 commonly deregulated genes in HCT116 and HT29 cells after normalization to the corresponding sham-treated cells &#x0005B;a threshold cut-off of 2-fold change, red (induced) and green (repressed), log2-based scale&#x0005D;. (C) IPA top network 2 associated with Id-1 and NF-&#x003BA;B pathway. Upregulated and downregulated genes by RPL9 silencing are shown in red and green, respectively. The genes shown in gray are associated with the regulated genes.</p></caption>
<graphic xlink:href="IJO-49-05-1953-g04.gif"/></fig>
<fig id="f6-ijo-49-05-1953" position="float">
<label>Figure 6</label>
<caption>
<p>Downregulation of RPL9 causes apoptosis through inactivation of Id-1 and NF-&#x003BA;B. (A) The expression of RPL9, Id-1, p-I&#x003BA;B&#x003B1; (Ser32/36), PARP-1, cleaved PARP-1, caspase-3 in HCT116 and HT29 cells with RPL9 depletion was determined by western blot analysis using the corresponding antibodies. &#x003B2;-actin was detected as a loading control. (B) Proteins were extracted from both cytosol and nuclei fraction in order to examine localization of NF-&#x003BA;B p65. Lamin B1 and GAPDH were used as nucleic and cytosolic marker, respectively. Equal sample loading was confirmed by naphthol blue black (NBB) staining of the western blot membrane.</p></caption>
<graphic xlink:href="IJO-49-05-1953-g05.gif"/></fig>
<fig id="f7-ijo-49-05-1953" position="float">
<label>Figure 7</label>
<caption>
<p>RPL9 silencing suppresses tumor growth <italic>in vivo</italic>. (A) Observation of tumor sizes between si-NC and si-RPL9 transfected xenografts. Tumor volumes were measured at 2-day intervals for 14 days. The data represent five independent experiments. <sup>*</sup>P&lt;0.05; <sup>**</sup>P&lt;0.01; <sup>***</sup>P&lt;0.001 by Bootstrap t-test. (B) Measurement of the control and RPL9 knockdown tumor weight. The data represent five independent experiments. <sup>***</sup>P&lt;0.001 by Student's t-test.</p></caption>
<graphic xlink:href="IJO-49-05-1953-g06.gif"/></fig>
<table-wrap id="tI-ijo-49-05-1953" position="float">
<label>Table I</label>
<caption>
<p>Top 5 gene networks from Ingenuity Pathway Analysis.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="bottom" align="left">Network ID</th>
<th valign="bottom" align="center">Score</th>
<th valign="bottom" align="center"># of focus genes</th>
<th valign="bottom" align="center">Genes in network and their top functions</th></tr></thead>
<tbody>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="center">54</td>
<td valign="top" align="center">30</td>
<td valign="top" align="left"><bold>FBLN1</bold>&#x02193;, <bold>LAMC2</bold>&#x02191;, <bold>LAMB3</bold>&#x02191;, <bold>LAMA3</bold>&#x02191;, ERK1/2, <bold>DGKA</bold>&#x02191;, <bold>GLIPR2</bold>&#x02193;, <bold>NUCB2</bold>&#x02193;, <bold>TRIB1</bold>&#x02191;, VLDL-cholesterol, <bold>ACAT2</bold>&#x02193;, <bold>RAB26</bold>&#x02193;, <bold>ITGA7</bold>&#x02193;, <bold>SHB</bold>&#x02191;, <bold>AKAP12</bold>&#x02191;, <bold>FHL1</bold>&#x02193;, SMAD1/5, <bold>BCAR3</bold>&#x02191;, atypical protein kinase C, Sos, <bold>TIPARP</bold>&#x02191;, <bold>DAP</bold>&#x02191;, <bold>DAPK2</bold>&#x02193;, <bold>CA</bold>2&#x02193;, <bold>WWC1</bold>&#x02191;, <bold>AURK</bold>&#x02193;, <bold>AURKB</bold>&#x02193;, <bold>KLHL21</bold>&#x02191;, <bold>KIF20A</bold>&#x02193;, <bold>MAD2L1</bold>&#x02193;, <bold>KIF2C</bold>&#x02193;, <bold>NDC8O</bold>&#x02193;, <bold>SPC24</bold>&#x02193;, <bold>NUF2</bold>&#x02193;, <bold>SPC25</bold>&#x02193;<break/>Cell cycle, cellular assembly and organization, DNA replication, recombination and repair</td></tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="center">33</td>
<td valign="top" align="center">24</td>
<td valign="top" align="left">TGFBR, <bold>Smad</bold>&#x02191;, <bold>ID1</bold>&#x02193;, NFkb (complex), <bold>CHRD</bold>&#x02193;, BMP, <bold>ID2</bold>&#x02193;, cyclin E, <bold>SMEK1</bold>&#x02191;, <bold>PLK2</bold>&#x02191;, <bold>SLC37A4</bold>&#x02193;, <bold>MY01E</bold>&#x02191;, <bold>RHEBL1</bold>&#x02193;, <bold>COR01A</bold>&#x02193;, <bold>DBP</bold>&#x02193;, <bold>JDP2</bold>&#x02193;, <bold>CBX2</bold>&#x02193;, <bold>KDM6B</bold>&#x02191;, HISTONE, <bold>IDH2</bold>&#x02193;, <bold>METTL8</bold>&#x02191;, <bold>CCNB2</bold>&#x02193;, <bold>CDC25C</bold>&#x02193;, <bold>PLK1</bold>&#x02193;, <bold>20s proteasome</bold>&#x02193;, <bold>PSMB9</bold>&#x02193;, E2f, Smad2/3-Smad4, APC (complex), <bold>PTTG1</bold>&#x02193;, Cdk, <bold>cyclin B</bold>&#x02193;, cyclin A, Cdc2, <bold>MYT1</bold>&#x02193;<break/>Cell cycle, DNA replication, recombination and repair, organismal survival</td></tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">23</td>
<td valign="top" align="left"><bold>IFRD1</bold>&#x02191;, <bold>DES</bold>&#x02193;, Pak, <bold>ARHGEF6</bold>&#x02193;, Dynamin, ERK, lgG2a, Alpha tubulim, <bold>KIF22</bold>&#x02193;, <bold>TMEM173</bold>&#x02193;, <bold>STMN1</bold>&#x02193;, <bold>ZFP36L1</bold>&#x02191;, <bold>CHAD</bold>&#x02193;, <bold>LIMA1</bold>&#x02191;, <bold>G-Actin</bold>&#x02191;, <bold>MKNK2</bold>&#x02191;, CaMKII, NFAT (complex), <bold>SDC4</bold>&#x02191;, Nfat (family), <bold>KLF6</bold>&#x02191;, Fcer1, calcineurin protein(s), <bold>DUSP4</bold>&#x02191;, Cg, MAP2K1/2, <bold>PDGFA</bold>&#x02191;, <bold>CYR61</bold>&#x02191;, <bold>GUSB</bold>&#x02193;, <bold>HERPUD1</bold>&#x02193;, <bold>CTSV</bold>&#x02193;, <bold>DNASE2</bold>&#x02193;, <bold>H2AFZ</bold>&#x02193;, <bold>HPSE</bold>&#x02193;, <bold>CENPA</bold>&#x02193;<break/>Organismal functions, organismal injury and abnormalities, tissue morphology</td></tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="center">27</td>
<td valign="top" align="center">22</td>
<td valign="top" align="left"><bold>NRGN</bold>&#x02193;, <bold>thymidine kinase</bold>&#x02193;, Rxr, <bold>FABP6</bold>&#x02193;, Rar, <bold>ITGB3BP</bold>&#x02193;, <bold>CRABP2</bold>&#x02193;, T3-TR-RXR, <bold>SLC01B3</bold>&#x02191;, Nr1h, <bold>PEPCK</bold>&#x02193;, <bold>PCK2</bold>&#x02193;, C/ebp, GOT, <bold>ANGPTL4</bold>&#x02191;, Growth hormone, <bold>PPP1R15A</bold>&#x02191;, STAT5a/b, JINK1/2, thyroid hormone receptor, <bold>UCP2</bold>&#x02193;, Cbp/p300, <bold>PTPase</bold>&#x02193;, <bold>SLC22A17</bold>&#x02193;, <bold>ACAP1</bold>&#x02191;, Akt, <bold>ATF3</bold>&#x02191;, <bold>LOC102724788/PRODH</bold>&#x02193;, <bold>SEMA7A</bold>&#x02191;, <bold>PLAGL1</bold>&#x02191;, <bold>death receptor</bold>&#x02191;, <bold>TNFRSF10B</bold>&#x02191;, <bold>TP5313</bold>&#x02191;, <bold>TNFRSF1D</bold>&#x02191;, HDL cholesterol<break/>Cell death and survival, lipid metabolism, molecular transport</td></tr>
<tr>
<td valign="top" align="left">5</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">22</td>
<td valign="top" align="left"><bold>MMP17</bold>&#x02193;, Fibrinogen, Ck2, <bold>LDL</bold>&#x02193;, <bold>PSRC1</bold>&#x02193;, <bold>PCSK9</bold>&#x02193;, <bold>Pdgf (complex)</bold>&#x02191;, Ap1, <bold>F3</bold>&#x02191;, Creb, <bold>PTPN6</bold>&#x02193;, <bold>phosphatase</bold>&#x02193;, <bold>RNASEH2A</bold>&#x02193;, <bold>PTPRM</bold>&#x02191;, <bold>EPHX2</bold>&#x02193;, <bold>PPF1A4</bold>&#x02193;, Gsk3, Creb, Ap1, FSH, <bold>DUSP14</bold>&#x02191;, <bold>CFLAR</bold>&#x02191;, Pkc(s), Pka, Insulin, <bold>ATP2A3</bold>&#x02193;, 14-3-3, PP2A, <bold>MIDN</bold>&#x02191;, <bold>Histone H1</bold>&#x02193;, <bold>H1FX</bold>&#x02193;, <bold>PLC</bold>&#x02193;, ADRB, Lh, <bold>PTP4A1</bold>&#x02191;, <bold>LOC81691</bold>&#x02193;, <bold>CRYM</bold>&#x02193;<break/>Neurological disease, psychological disorders, post-translational modification</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn1-ijo-49-05-1953">
<p>The score is a numerical value used to rank networks according to how relevant they are to the genes in the input dataset (296 genes). The score takes into account the number of genes in network and the size of the network to approximate how relevant this network is to input gene list. Upregulated and downregulated genes (in bold) are indicated with upward and downward arrows, respectively.</p></fn></table-wrap-foot></table-wrap></floats-group></article>
