15 research outputs found
Premature Senescence and Increased TGFβ Signaling in the Absence of Tgif1
Transforming growth factor β (TGFβ) signaling regulates cell cycle progression in several cell types, primarily by inducing a G1 cell cycle arrest. Tgif1 is a transcriptional corepressor that limits TGFβ responsive gene expression. Here we demonstrate that primary mouse embryo fibroblasts (MEFs) lacking Tgif1 proliferate slowly, accumulate increased levels of DNA damage, and senesce prematurely. We also provide evidence that the effects of loss of Tgif1 on proliferation and senescence are not limited to primary cells. The increased DNA damage in Tgif1 null MEFs can be partially reversed by culturing cells at physiological oxygen levels, and growth in normoxic conditions also partially rescues the proliferation defect, suggesting that in the absence of Tgif1 primary MEFs are less able to cope with elevated levels of oxidative stress. Additionally, we show that Tgif1 null MEFs are more sensitive to TGFβ-mediated growth inhibition, and that treatment with a TGFβ receptor kinase inhibitor increases proliferation of Tgif1 null MEFs. Conversely, persistent treatment of wild type cells with low levels of TGFβ slows proliferation and induces senescence, suggesting that TGFβ signaling also contributes to cellular senescence. We suggest that in the absence of Tgif1, a persistent increase in TGFβ responsive transcription and a reduced ability to deal with hyperoxic stress result in premature senescence in primary MEFs
The Sno Oncogene Antagonizes Wingless Signaling during Wing Development in Drosophila
The Sno oncogene (Snoo or dSno in Drosophila) is a highly conserved protein and a well-established antagonist of Transforming Growth Factor-β signaling in overexpression assays. However, analyses of Sno mutants in flies and mice have proven enigmatic in revealing developmental roles for Sno proteins. Thus, to identify developmental roles for dSno we first reconciled conflicting data on the lethality of dSno mutations. Then we conducted analyses of wing development in dSno loss of function genotypes. These studies revealed ectopic margin bristles and ectopic campaniform sensilla in the anterior compartment of the wing blade suggesting that dSno functions to antagonize Wingless (Wg) signaling. A subsequent series of gain of function analyses yielded the opposite phenotype (loss of bristles and sensilla) and further suggested that dSno antagonizes Wg signal transduction in target cells. To date Sno family proteins have not been reported to influence the Wg pathway during development in any species. Overall our data suggest that dSno functions as a tissue-specific component of the Wg signaling pathway with modest antagonistic activity under normal conditions but capable of blocking significant levels of extraneous Wg, a role that may be conserved in vertebrates
Global analysis of transcriptional changes.
<p>A) RNA from three sets of triplicate cultures (passage 3 wild type [P3], passage 5 wild type [P5], and passage 3 <i>Tgif1</i> null MEFs [null]) and was analyzed on Affymetrix expression arrays. A Venn diagram is shown with the numbers of probe-sets that changed significantly in each of three pair-wise comparisons (null – P3, null – P5, and P5 – P3). B) An analysis of the overlap between the null – P3 and null – P5 comparisons is shown as a four-way Venn diagram, allowing overlaps between a maximum of two data-sets. The arrows indicate the direction of the change in signal: For example, pale blue arrow indicates increased signal in the null – P3 comparison. Of the 376 probe-sets that increased in the null – P3 comparison, 176 increased and 50 decreased in the null – P5 comparison, whereas 150 did not change significantly in the null – P5. The distribution of changes in the probe-sets present in the overlaps (176, 25, 50, 140) was analyzed using a 2×2 contingency table and a chi squared test. The chi squared value and p-value are shown above. C) An analysis of overlap of the data from the null – P3 and P5 – P3 comparisons is shown, as in panel B. D) Expression of ten genes from the overlaps shown in B and C was analyzed by qRT-PCR in RNAs from triplicate cultures of wild type and <i>Tgif1</i> null MEFs at both passage 3 and 5. Expression is presented as the average (+ s.d.) in arbitrary units with the P2 wild type set equal to 1 for each gene. Significance levels as determined by ANOVA are indicated above (* p<0.05, ** p<0.01, *** p<0.001).</p
Proliferation defects with transient knock-down of <i>Tgif1</i> in NMuLi cells.
<p>A) NMuLi and NMuMG cells were transfected with siRNAs targeting <i>Tgif1</i>, or with a control pool, and Tgif1 protein levels were analyzed 48 hours later, by western blot. Smad2 levels are shown as a loading control. B) Control and <i>Tgif1</i> knock-down NMuLi and NMuMG cells were analyzed for senescence associated β-gal staining 72 hours after knock-down. The percentage of SA β-gal positive cells is presented as mean + s.d. of triplicate transfections, together with p values. C) Control and <i>Tgif1</i> knock-down NMuLi cells were analyzed for EdU incorporation, as a measure of proliferation. Cells were incubated with EdU for 1 hour, 48 hours after transfection. Data is presented as mean + s.d. of triplicate transfections, together with the p value. D) Expression of the ten genes analyzed in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0035460#pone-0035460-g005" target="_blank">Figure 5D</a> was tested in control and <i>Tgif1</i> knock-down NMuLi cells by qRT-PCR from triplicate cultures. Data is shown for <i>Tgif1</i> and the six genes for which differences in expression were significant. All p values were determined by the Student's T test (* p<0.05, ** p<0.01, *** p<0.001, for panel D).</p
Overlap of TGFβ-mediated transcriptional changes with those in <i>Tgif1</i> null MEFs.
<p>A) Data from the comparison of <i>Tgif1</i> null to wild type P3 MEFs was compared to that from MEFs treated with TGFβ for 10 hours (from GSE15871). Total numbers of probe-sets with significant changes, and the overlaps are shown as in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0035460#pone-0035460-g005" target="_blank">Figure 5</a>. Chi squared analysis was performed as in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0035460#pone-0035460-g005" target="_blank">Figure 5</a> and is shown above. B) Data from the comparison of <i>Tgif1</i> null to wild type P3 MEFs was compared to MEFs treated with TNFα for 4 hours (from GSE3700). Data was analyzed and is presented as in A. C) Twelve genes represented in the overlap shown in panel B were analyzed by qRT-PCR. Six genes each were selected from those that went up in both and those that went down in both. Expression was analyzed in triplicate cultures of passage 3 <i>Tgif1</i> null MEFs treated with a TGFβ receptor kinase inhibitor (1 µM SB-431542), or left untreated. Data is shown as mean (+ s.d.) with the value in the untreated cells set to 1 in each case. * p<0.05, ** p<0.01, *** p<0.001, as determined by the Student's T test. Shown below is the fold change (on a linear scale) in the comparison of the <i>Tgif1</i> null to wild type P3 array data for each gene.</p
Increased DNA damage in MEFs lacking Tgif1.
<p>Passage 2 wild type and <i>Tgif1</i> null cells were analyzed by comet assay, under denaturing conditions. The percentage of total DNA in the tail was quantified for at least 50 cells per condition. A) The percentage of DNA in the tail is plotted for each of two independent batches of wild type and <i>Tgif1</i> null MEFs. Data is plotted as median, 25<sup>th</sup> and 75<sup>th</sup> percentiles (box) and 5<sup>th</sup> and 95<sup>th</sup> percentiles (whiskers). p-values determined by the Student's T test are shown. B) The data shown in A, binned into 5% blocks, are plotted to show the distribution. C) Cells were treated with 100 µM H<sub>2</sub>O<sub>2</sub> for 20 minutes and analyzed by comet assay at time-points thereafter over a 160 minute time-course. Data are presented as in A, with p-values for comparisons between wild type and Tgif1 null shown where significant. D) representative images of mitotic cells with DNA bridges are shown for <i>Tgif1</i> null cells. Cells analyzed for α-tubulin (green), pHH3 (red), and Hoechst (blue) are shown, together with a merged image of all three colors. Images were captured at 40×. Scale bar = 25 µM. E) Wild type and <i>Tgif1</i> null MEFs were grown on a 3T3 protocol in a standard incubator (5% CO<sub>2</sub> in air [20% O<sub>2</sub>]), or in a chamber with 5% CO<sub>2</sub> and 3% O<sub>2</sub>. Growth is plotted as relative cumulative cell number, with the starting 300,000 cells at P2 set equal to 1.</p
TGFβ induces growth inhibition and senescence.
<p>A) The TGFβ data-set from GSE15871 was compared to probe-set changes between P3 and P5 wild type MEFs. Data was analyzed and is presented as in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0035460#pone-0035460-g005" target="_blank">Figures 5</a> and <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0035460#pone-0035460-g007" target="_blank">7</a>. B) The culture conditions over passages 2 to 5 are shown schematically: Arrows below indicate times at which TGFβ (1 pM or 3 pM) was added for the 3T3 assay. The time of addition of TGFβ and EdU is shown above, and the time at which the SAβG assay was performed is shown below. Relative cell proliferation was measured at passage 3 and 5 in cells grown under standard conditions, followed by a single 24 hour treatment with TGFβ at the indicated concentration. The percentage of EdU positive cells is shown. C) Cell proliferation was determined in a 3T3 assay and is shown as cumulative increase in cell number. Cells were cultured under standard conditions or with the addition of 1 or 3 pM TGFβ at the times indicated in panel B. D) The percentage (average + s.d. of triplicate cultures) of wild type cells with positive SAβG staining is shown at passage 5, after continued treatment with 1 pM or 3 pM TGFβ, or under standard conditions. Significant differences between control and plus TGFβ are shown: * p<0.05, ** p<0.01, as determined by the Student's T test. E) A tentative model describing the involvement of Tgif1 and TGFβ in the pathways leading to cellular senescence.</p
<i>Tgif1</i> null MEFs have increased DNA damage foci.
<p>A) Representative images of passage 5 cells stained with an antibody against γH2AX (green) and Hoechst (blue) are shown. Images were captured at 20×. Scale bar = 50 µM. B) The distribution of the number of γH2AX damage foci per nucleus is shown for passage 4 and 5 wild type and <i>Tgif1</i> null cells. Significance values were determined by Chi squared test, comparing the distribution in <i>Tgif1</i> null to that expected based on the wild type. C) The distributions of the number of γH2AX damage foci per nucleus in passage 4 cells were compared to those from cells that had been grown in 3% oxygen from passage 2 to 4. Data is presented and analyzed as in B. Note that the P4 MEFs analyzed for damage foci in 20% oxygen in panels B and C are the same. p-values for the comparisons of wild type to <i>Tgif1</i> null and 3% to 20% oxygen are shown below.</p
Somatic mutation of GRIN2A in malignant melanoma results in loss of tumor suppressor activity via aberrant NMDAR complex formation.
The ionotropic glutamate receptors (N-methyl-D-aspartate receptors (NMDARs)) are composed of large complexes of multi-protein subunits creating ion channels in the cell plasma membranes that allow for influx or efflux of mono- or divalent cations (e.g., Ca(2+)) important for synaptic transmissions, cellular migration, and survival. Recently, we discovered the high prevalence of somatic mutations within one of the ionotropic glutamate receptors, GRIN2A, in malignant melanoma. Functional characterization of a subset of GRIN2A mutants demonstrated a loss of NMDAR complex formation between GRIN1 and GRIN2A, increased anchorage-independent growth in soft agar, and increased migration. Somatic mutation of GRIN2A results in a dominant negative effect inhibiting the tumor-suppressive phenotype of wild-type (WT) GRIN2A in melanoma. Depletion of endogenous GRIN2A in melanoma cells expressing WT GRIN2A resulted in increased proliferation compared with control. In contrast, short-hairpin RNA depletion of GRIN2A in mutant cell lines slightly reduced proliferation. Our data show that somatic mutation of GRIN2A results in increased survival, and we demonstrate the functional importance of GRIN2A mutations in melanoma and the significance that ionotropic glutamate receptor signaling has in malignant melanoma
Integrin alphavbeta6 promotes an osteolytic program in cancer cells by upregulating MMP2
The molecular circuitries controlling osseous prostate metastasis are known to depend on the activity of multiple pathways, including integrin signaling. Here, we demonstrate that the alphavbeta6 integrin is upregulated in human prostate cancer bone metastasis. In prostate cancer cells, this integrin is a functionally active receptor for fibronectin and latency-associated peptide-TGF-beta1; it mediates attachment and migration upon ligand binding and is localized in focal contacts. Given the propensity of prostate cancer cells to form bone metastatic lesions, we investigated whether the alphavbeta6 integrin promotes this type of metastasis. We show for the first time that alphavbeta6 selectively induces matrix metalloproteinase 2 (MMP2) in vitro in multiple prostate cancer cells and promotes osteolysis in vivo in an immunodeficient mouse model of bone metastasis through upregulation of MMP2, but not MMP9. The effect of alphavbeta6 on MMP2 expression and activity is independent of androgen receptor in the analyzed prostate cancer cells. Increased levels of parathyroid hormone-related protein (PTHrP), known to induce osteoclastogenesis, were also observed in alphavbeta6-expressing cells. However, by using MMP2 short hairpin RNA, we demonstrate that the alphavbeta6 effect on bone loss is due to upregulation of soluble MMP2 by the cancer cells, not due to changes in tumor growth rate. Another related alphav-containing integrin, alphavbeta5, fails to show similar responses, underscoring the significance of alphavbeta6 activity. Overall, these mechanistic studies establish that expression of a single integrin, alphavbeta6, contributes to the cancer cell-mediated program of osteolysis by inducing matrix degradation through MMP2. Our results open new prospects for molecular therapy for metastatic bone disease