Smad3 ChIP-chip analysis on human breast epithelial cells of the MCF10A series
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE34271 | GEO | 2015/01/01
SECONDARY ACCESSION(S): PRJNA156535
REPOSITORIES: GEO
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2015-01-01 | GSE34270 | GEO
Project description:TGF-betas have complex roles in tumorigenesis, with context-dependent effects that can either suppress or promote tumor progression. We have previously shown that TGF-beta has tumor suppressor activity in the MCF10Ca1h (M3) human breast cancer xenograft model. To identify potential molecular players in the tumor suppressor responses, we performed global gene expression analyses. To determine which genes were regulated by TGF-beta in this tumor model in vivo, we performed gene expression arrays on tumors derived from xenografts of M3 cells with and without expression of a dominant negative TGF-beta receptor to block activity of endogenous TGF-beta.
2015-01-01 | GSE34276 | GEO
Project description:Transforming growth factor (TGF)-beta induces apoptosis of many types of cancer cells and acts as a tumor suppressor. We found lower expression of TGF-beta type II receptor (TbRII) in most of SCLC cells and tissues than in normal lung epithelial cells and normal lung tissues, respectively. In vitro cell growth and in vivo tumor formation were suppressed by TGF-beta-mediated apoptosis when the wild-type TbRII was overexpressed in SCLC cells. We therefore determined Smad2 and Smad3 (Smad2/3) binding sites in a SCLC cell line H345 stably expressing exogenous TbRII (H345-TbRII) to identify target genes of TGF-beta. Smad2 and Smad3 binding sites in H345-TbRII cells were determined by ChIP-seq (one sample analysis, without replicates).
2015-09-15 | E-GEOD-63871 | biostudies-arrayexpress
Project description:Transforming growth factor-beta (TGF-beta) transmits signals that facilitate cancer progression. Especially, epithelial-mesenchymal transition (EMT) induced by TGF-beta is considered to crucially contribute to the malignant phenotype of cancer cells. Here we report that the EMT-associated cellular responses induced by TGF-beta are mediated through distinct signaling pathways that diverge at Smad3; cell motility and epithelial marker downregulation are Smad3-dependent while mesenchymal marker induction is not. Furthermore, using a chimeric protein approach in SMAD3 knockout A549 cells, we found that the beta 4 region in the MH1 domain of Smad3 is indispensable for TGF-beta–induced cell motility, but not for epithelial marker downregulation. A transcriptome analysis was performed using A549 cells expressing Smad3 mutant of the MH1 domain.
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Project description:Transforming growth factor (TGF)-beta induces apoptosis of many types of cancer cells and acts as a tumor suppressor. We found lower expression of TGF-beta type II receptor (TbRII) in most of SCLC cells and tissues than in normal lung epithelial cells and normal lung tissues, respectively. In vitro cell growth and in vivo tumor formation were suppressed by TGF-beta-mediated apoptosis when the wild-type TbRII was overexpressed in SCLC cells. We therefore determined Smad2 and Smad3 (Smad2/3) binding sites in a SCLC cell line H345 stably expressing exogenous TbRII (H345-TbRII) to identify target genes of TGF-beta.
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Project description:TGF-β is involved in various biological processes, including development, differentiation, growth regulation, and epithelial-mesenchymal transition (EMT). In TGF-β/Smad signaling, receptor-activated Smad complexes activate or repress their target gene promoters. Smad cofactors are a group of Smad-binding proteins that promote recruitment of Smad complexes to these promoters. Long noncoding RNAs (lncRNAs), that behave as Smad cofactors have thus far not been identified. Here, we characterize a novel lncRNA EMT-associated lncRNA induced by TGF-β-1(ELIT-1). ELIT-1 was induced by TGF-β-stimulation via the TGF-β/Smad pathway in TGF-β-responsive cell lines. ELIT-1-depletion abrogated TGF-β-mediated EMT progression and expression of TGF-β target genes including Snail, a transcription factor critical for EMT. A positive correlation between high expression of ELIT-1 and poor prognosis in lung adenocarcinoma and gastric cancer patients suggests that ELIT-1 may be useful as a prognostic and therapeutic target. RIP assays revealed that ELIT-1 bound to Smad3, but not Smad2. In conjunction with Smad3, ELIT-1 enhanced Smad-responsive promoter activities by recruiting Smad3 to the promoters of its target genes including Snail, other TGF-β-target genes, and ELIT-1 itself. Collectively, these data show that ELIT-1 is a novel trans-acting lncRNA that forms a positive feedback loop to enhance TGF-β/Smad3 signaling and promote EMT progression.
2019-04-12 | GSE129008 | GEO
Project description:TGF-β is involved in various biological processes, including development, differentiation, growth regulation, and epithelial-mesenchymal transition (EMT). In TGF-β/Smad signaling, receptor-activated Smad complexes activate or repress their target gene promoters. Smad cofactors are a group of Smad-binding proteins that promote recruitment of Smad complexes to these promoters. Long noncoding RNAs (lncRNAs), that behave as Smad cofactors have thus far not been identified. Here, we characterize a novel lncRNA EMT-associated lncRNA induced by TGF-β-1(ELIT-1). ELIT-1 was induced by TGF-β-stimulation via the TGF-β/Smad pathway in TGF-β-responsive cell lines. ELIT-1-depletion abrogated TGF-β-mediated EMT progression and expression of TGF-β target genes including Snail, a transcription factor critical for EMT. A positive correlation between high expression of ELIT-1 and poor prognosis in lung adenocarcinoma and gastric cancer patients suggests that ELIT-1 may be useful as a prognostic and therapeutic target. RIP assays revealed that ELIT-1 bound to Smad3, but not Smad2. In conjunction with Smad3, ELIT-1 enhanced Smad-responsive promoter activities by recruiting Smad3 to the promoters of its target genes including Snail, other TGF-β-target genes, and ELIT-1 itself. Collectively, these data show that ELIT-1 is a novel trans-acting lncRNA that forms a positive feedback loop to enhance TGF-β/Smad3 signaling and promote EMT progression.
2019-04-12 | GSE128965 | GEO
Project description:Investigation of transcript level modulation in unstimulated and TGF-beta treated (with or without superimposed T-cell receptor and CD28 stimulation) naive CD4 T cells from wild type or Smad3-deficient littermate mice. Smad3 is a critical signaling molecule and transcription factor downstream of TGF-beta and mediates several of the TGF-beta dependent tolerogenic effects in T cells. This study was undertaken to unveil the transcriptionnal program controled by the TGF-b/Smad3 axis. Microarray study using RNA recovered after 6 hours of culture in either serum free media, serum-free media + TGF-beta (2.5ng/ml) or serum-free media + TGF-beta and anti-CD3e and anti-CD28 stimulation (3 conditions). Naive CD4 T cells (TCRb+, CD4+, CD62L+ and CD44-) were sorted from either wild type or Smad3 deficient littermates and submitted to the 3 culture conditions. Three biological replicates were obtained (each from at least 2 different mice). Thus a total of 18 Nimblegen 365K chip were used.
2012-08-31 | E-GEOD-40494 | biostudies-arrayexpress
Project description:Purpose: The goal of the study is to compare NGS-derived transcriptome in an isogenic breast cancer progression model cell line system. By comparing the protein-coding and noncoding gene expression of normal versus tumorigenic breast cancer cell lines, we will be able to identify genes that show aberrant expression during breast cancer progression. Methods: We isolated poly A + RNA from four isogenic mammary epithelial cell lines showing various stages of breast cancer progression. The model system comprises of 4 isogenic cell lines, categorized as M1-M4. M1 represents the normal, non-tumorigenic, immortalized MCF10A cells. Transfection of MCF10A with activated T24-HRAS and selection by xenografting generated the M2 (MCF10AT1k.cl2) cell line, which is highly proliferative and gives rise to premalignant lesions with the potential for neoplastic progression. M3 (MCF10Ca1h) and M4 (MCF10CA1a.cl1) were derived from occasional carcinomas arising from xenografts of M2 cells. M3 gives predominantly well-differentiated low-grade carcinomas on xenografting, while M4 gives rise to relatively undifferentiated carcinomas and colonizes to the lung upon injection of these cells into the tail vein. We performed paired-end deep sequencing (190-260 million reads/sample) of poly A+ RNA isolated from these cells that were cultured as 3D acini in biological duplicates. Reads of the samples were trimmed for adapters and low-quality bases using Trimmomatic software before alignment with the reference genome (Human - hg19) and the annotated transcripts using STAR. The average mapping rate of all samples is 96%. Unique alignment is above 87%. There are 3.74 to 4.07% unmapped reads. The mapping statistics are calculated using Picard software. The samples have 0.59% ribosomal bases. Percent coding bases are between 67-72%. Percent UTR bases are 23-26%, and mRNA bases are between 94-96% for all the samples. Library complexity is measured in terms of unique fragments in the mapped reads using Picard’s MarkDuplicate utility. The samples have 31-52% non-duplicate reads. In addition, the gene expression quantification analysis was performed for all samples using STAR/RSEM tools. Both the normalized count and the raw count are provided as part of the data delivery. Results: Using an optimised data analysis workflow, we mapped ~190-250 million reads/sample and identified expression of 17396 protein-coding genes and 11509 long noncoding RNA genes. We initially compared gene expression between M1 and M4 cells. 4668 genes (2815 protein coding and 1853 lncRNAs) showed ~2 fold change in their expression between M1 and M4 cells in both biological repeats. 1159 out of the 1853 deregulated lncRNAs showed 2-fold upregulation in M4 cells in both repeats. On the other hand, 694 of lncRNAs displayed reduced levels in M4 compared to M1 cells. Further, we noticed that natural antisense transcripts (NATs) comprised one of the largest types of lncRNAs (504 out of 1853) that showed deregulation in M4 cells. Conclusion: Our study revealed differential expression of thousands of protein-coding and long noncoding RNAs during breast cancer progression using the isogenic cell line model system. This data set will act as a rich resource for downstream mechanistic studies to determine the role of these differentially expressed genes in breast cancer progression.
2018-11-23 | GSE120796 | GEO
Project description:Increasing evidence supports the idea that cancer cell plasticity promotes metastasis and tumor recurrence, resulting in patient mortality. While it is clear that the tumor microenvironment (TME) contributes to cancer cell plasticity, the specific TME factors most actively controlling plasticity remain largely unknown. Here, we performed a screen to identify TME cytokines and growth factors that promote epithelial-mesenchymal plasticity, and acquisition of cancer stem-cell (CSC) properties. Of 28 TME cytokines and growth factors tested, we identified Oncostatin M (OSM) as the most potent inducer of mesenchymal/CSC properties. OSM-induced plasticity was Signal Transducer and Activator of Transcription 3 (STAT3)-dependent, and also required a novel intersection with Transforming Growth Factor-β (TGF-β)/SMAD signaling. OSM/STAT3 activation promoted SMAD3 nuclear accumulation, DNA-binding, and induced SMAD3-dependent transcriptional activity. Suppression of TGF-β receptor activity or ablation of SMAD3 or SMAD4, but not SMAD2, strongly suppressed OSM/STAT3-mediated plasticity. Moreover, removal of OSM or inhibition of STAT3 or SMAD3 resulted in a marked reversion to a non-invasive, epithelial phenotype. We propose that, targeted blockade of the STAT3/SMAD3 axis in tumor cells may represent a novel therapeutic approach to prevent the plasticity required for metastatic progression and tumor recurrence.
2016-12-13 | GSE92297 | GEO