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Zhang K, Xu J, Chen R. Silencing proline-rich coiled-coil 2C inhibit the proliferation and metastasis of liver cancer cells. J Gastrointest Oncol 2023; 14:287-301. [PMID: 36915448 PMCID: PMC10007939 DOI: 10.21037/jgo-23-10] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Accepted: 02/10/2023] [Indexed: 03/02/2023] Open
Abstract
BACKGROUND Proline-rich coiled-coil 2C (PRRC2C) is located in the chromosome region lq where hepatocellular carcinoma (HCC) frequently undergoes genomic fragment amplification, but its role in HCC is unknown. In this study, we aimed to explore the correlation of PRRC2C with HCC diagnosis and progression, as well as its influence on the biological behavior of HCC cells. METHODS The Cancer Genome Atlas (TCGA) RNA-sequencing datasets of 371 cases of primary liver cancer and 50 normal liver tissue specimens were obtained to analyze correlation between PRRC2C expression and HCC staging, grades, and overall survival. After confirming expression of PRRC2C in HCC cells, PRRC2C silencing was performed. Celigo cell counting, cell clone formation, MTT (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide) assay and Flow cytometry were used to detect the cell proliferation and apoptosis; wound healing and Transwell assays were used to detect the invasion abilities of cells. Xenograft transplantation in nude mice was performed to investigate the impact of PRRC2C knockdown on tumorigenic capabilities. In addition, the expression levels of EMT (epithelial-mesenchymal transition)-related genes, including E-cadherin, N-cadherin, Twistl, Snail, Slug, and Smad2/3/4, were detected. RESULTS Analysis of TCGA data sets revealed that patients with high PRRC2C expression had significantly shorter overall survival. PRRC2C was abundantly expressed in four human hepatocarcinoma cell lines. After knockdown PRRC2C, the proliferation of HCC cells were suppressed and the numbers of apoptotic cells increased. Migration and invasion ability of HCC cells were inhibited by PRRC2C knockdown. Meanwhile, PRRC2C silencing inhibited the tumor formation (indicated by reduced tumor volume and weight compared to the control group) in BALB/c (Bagg Albino Laboratory-bred strain) nude mice. The expressions of EMT-related genes N-cadherin and Vimentin were significantly lower in the PRRC2C knockdown group than in the control group. CONCLUSIONS PRRC2C promotes the proliferation and metastasis of liver cancer cells and inhibited apoptosis, potentially through upregulation of EMT related N-cadherin and Vimentin.
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Affiliation(s)
- Kai Zhang
- Department of Oncology Surgery, Yuebei People’s Hospital Affiliated to Shantou University Medical College, Shaoguan, China
| | - Jiaming Xu
- Department of Oncology Surgery, Yuebei People’s Hospital Affiliated to Shantou University Medical College, Shaoguan, China
| | - Ran Chen
- Department of Gynaecology, Yuebei People’s Hospital Affiliated to Shantou University Medical College, Shaoguan, China
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Large-Scale Profiling of RBP-circRNA Interactions from Public CLIP-Seq Datasets. Genes (Basel) 2020; 11:genes11010054. [PMID: 31947823 PMCID: PMC7016857 DOI: 10.3390/genes11010054] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Revised: 12/26/2019] [Accepted: 12/29/2019] [Indexed: 12/14/2022] Open
Abstract
Circular RNAs are a special type of RNA that has recently attracted a lot of research interest in studying its formation and function. RNA binding proteins (RBPs) that bind circRNAs are important in these processes, but have been relatively less studied. CLIP-Seq technology has been invented and applied to profile RBP-RNA interactions on the genome-wide scale. While mRNAs are usually the focus of CLIP-Seq experiments, RBP-circRNA interactions could also be identified through specialized analysis of CLIP-Seq datasets. However, many technical difficulties are involved in this process, such as the usually short read length of CLIP-Seq reads. In this study, we created a pipeline called Clirc specialized for profiling circRNAs in CLIP-Seq data and analyzing the characteristics of RBP-circRNA interactions. In conclusion, to our knowledge, this is one of the first studies to investigate circRNAs and their binding partners through repurposing CLIP-Seq datasets, and we hope our work will become a valuable resource for future studies into the biogenesis and function of circRNAs.
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Gaytan-Cervantes J, Gonzalez-Torres C, Maldonado V, Zampedri C, Ceballos-Cancino G, Melendez-Zajgla J. Protein Sam68 regulates the alternative splicing of survivin DEx3. J Biol Chem 2017; 292:13745-13757. [PMID: 28655776 DOI: 10.1074/jbc.m117.800318] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2017] [Indexed: 01/31/2023] Open
Abstract
Messenger RNA alternative splicing (AS) regulates the expression of a variety of genes involved in both physiological and pathological processes. AS of the anti-apoptotic and proliferation-associated survivin (BIRC5) gene generates six isoforms, which regulate key aspects of cancer initiation and progression. One of the isoforms is survivin DEx3, in which the exclusion of exon 3 generates a unique carboxyl terminus with specific anti-apoptotic functions. This isoform is highly expressed in advanced stages of breast and cervical tumors. Therefore, understanding the mechanisms that regulate survivin DEx3 mRNA AS is clearly important. To this end, we designed a minigene (M), and in combination with a series of deletions and site-directed mutations, we determined that the first 22 bp of exon 3 contain cis-acting elements that enhance the exclusion of exon 3 to generate the survivin DEx3 mRNA isoform. Furthermore, using pulldown assays, we discovered that Sam68 is a possible trans-acting factor that binds to this region and regulates exon 3 splicing. This result was corroborated using a cell line in which the Sam68 binding site in the survivin gene was mutated with the CRISPR/Cas system. This work provides the first clues regarding the regulation of survivin DEx3 mRNA splicing.
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Affiliation(s)
| | | | - Vilma Maldonado
- Epigenetics, National Institute of Genomic Medicine (INMEGEN), 14610 Mexico City, Mexico
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Avin BA, Umbricht CB, Zeiger MA. Human telomerase reverse transcriptase regulation by DNA methylation, transcription factor binding and alternative splicing (Review). Int J Oncol 2016; 49:2199-2205. [PMID: 27779655 DOI: 10.3892/ijo.2016.3743] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2016] [Accepted: 10/17/2016] [Indexed: 12/31/2022] Open
Abstract
The catalytic subunit of telomerase, human telomerase reverse transcriptase (hTERT), plays an essential role in telomere maintenance to oppose cellular senescence and, is highly regulated in normal and cancerous cells. Regulation of hTERT occurs through multiple avenues, including a unique pattern of CpG promoter methylation and alternative splicing. Promoter methylation affects the binding of transcription factors, resulting in changes in expression of the gene. In addition to expression level changes, changes in promoter binding can affect alternative splicing in a cotranscriptional manner. The alternative splicing of hTERT results in either the full length transcript which can form the active telomerase complex with hTR, or numerous inactive isoforms. Both regulation strategies are exploited in cancer to activate telomerase, however, the exact mechanism is unknown. Therefore, unraveling the link between promoter methylation status and alternative splicing for hTERT could expose yet another level of hTERT regulation. In an attempt to provide insight into the cellular control of active telomerase in cancer, this review will discuss our current perspective on CpG methylation of the hTERT promoter region, summarize the different forms of alternatively spliced variants, and examine examples of transcription factor binding that affects splicing.
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Affiliation(s)
- Brittany A Avin
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Christopher B Umbricht
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Martha A Zeiger
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
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de Miguel FJ, Sharma RD, Pajares MJ, Montuenga LM, Rubio A, Pio R. Identification of alternative splicing events regulated by the oncogenic factor SRSF1 in lung cancer. Cancer Res 2013; 74:1105-15. [PMID: 24371231 DOI: 10.1158/0008-5472.can-13-1481] [Citation(s) in RCA: 55] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abnormal alternative splicing has been associated with cancer. Genome-wide microarrays can be used to detect differential splicing events. In this study, we have developed ExonPointer, an algorithm that uses data from exon and junction probes to identify annotated cassette exons. We used the algorithm to profile differential splicing events in lung adenocarcinoma A549 cells after downregulation of the oncogenic serine/arginine-rich splicing factor 1 (SRSF1). Data were generated using two different microarray platforms. The PCR-based validation rate of the top 20 ranked genes was 60% and 100%. Functional enrichment analyses found a substantial number of splicing events in genes related to RNA metabolism. These analyses also identified genes associated with cancer and developmental and hereditary disorders, as well as biologic processes such as cell division, apoptosis, and proliferation. Most of the top 20 ranked genes were validated in other adenocarcinoma and squamous cell lung cancer cells, with validation rates of 80% to 95% and 70% to 75%, respectively. Moreover, the analysis allowed us to identify four genes, ATP11C, IQCB1, TUBD1, and proline-rich coiled-coil 2C (PRRC2C), with a significantly different pattern of alternative splicing in primary non-small cell lung tumors compared with normal lung tissue. In the case of PRRC2C, SRSF1 downregulation led to the skipping of an exon overexpressed in primary lung tumors. Specific siRNA downregulation of the exon-containing variant significantly reduced cell growth. In conclusion, using a novel analytical tool, we have identified new splicing events regulated by the oncogenic splicing factor SRSF1 in lung cancer.
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Affiliation(s)
- Fernando J de Miguel
- Authors' Affiliations: Division of Oncology, Center for Applied Medical Research (CIMA); Departments of Histology and Pathology and Biochemistry and Genetics, Schools of Science and Medicine, University of Navarra, Pamplona; and CEIT and TECNUN, University of Navarra, San Sebastian, Spain
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Abstract
AS (alternative splicing) and its role in disease, especially cancer, has come to forefront in research over the last few years. Alterations in the ratio of splice variants have been widely observed in cancer. Splice variants of cancer-associated genes have functions that can alter cellular phenotype, ultimately altering metastatic potential. As metastases are the cause of approximately 90% of all human cancer deaths, it is crucial to understand how AS is dysregulated in metastatic disease. We highlight some recent studies into the relationship between altered AS of key genes and the initiation of prostate cancer metastasis.
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Steger D, Berry D, Haider S, Horn M, Wagner M, Stocker R, Loy A. Systematic spatial bias in DNA microarray hybridization is caused by probe spot position-dependent variability in lateral diffusion. PLoS One 2011; 6:e23727. [PMID: 21858215 PMCID: PMC3157431 DOI: 10.1371/journal.pone.0023727] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2011] [Accepted: 07/26/2011] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND The hybridization of nucleic acid targets with surface-immobilized probes is a widely used assay for the parallel detection of multiple targets in medical and biological research. Despite its widespread application, DNA microarray technology still suffers from several biases and lack of reproducibility, stemming in part from an incomplete understanding of the processes governing surface hybridization. In particular, non-random spatial variations within individual microarray hybridizations are often observed, but the mechanisms underpinning this positional bias remain incompletely explained. METHODOLOGY/PRINCIPAL FINDINGS This study identifies and rationalizes a systematic spatial bias in the intensity of surface hybridization, characterized by markedly increased signal intensity of spots located at the boundaries of the spotted areas of the microarray slide. Combining observations from a simplified single-probe block array format with predictions from a mathematical model, the mechanism responsible for this bias is found to be a position-dependent variation in lateral diffusion of target molecules. Numerical simulations reveal a strong influence of microarray well geometry on the spatial bias. CONCLUSIONS Reciprocal adjustment of the size of the microarray hybridization chamber to the area of surface-bound probes is a simple and effective measure to minimize or eliminate the diffusion-based bias, resulting in increased uniformity and accuracy of quantitative DNA microarray hybridization.
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Affiliation(s)
- Doris Steger
- Department of Microbial Ecology, Vienna Ecology Center, Faculty of Life Sciences, University of Vienna, Wien, Austria
| | - David Berry
- Department of Microbial Ecology, Vienna Ecology Center, Faculty of Life Sciences, University of Vienna, Wien, Austria
| | - Susanne Haider
- Department of Microbial Ecology, Vienna Ecology Center, Faculty of Life Sciences, University of Vienna, Wien, Austria
| | - Matthias Horn
- Department of Microbial Ecology, Vienna Ecology Center, Faculty of Life Sciences, University of Vienna, Wien, Austria
| | - Michael Wagner
- Department of Microbial Ecology, Vienna Ecology Center, Faculty of Life Sciences, University of Vienna, Wien, Austria
| | - Roman Stocker
- Ralph M. Parsons Laboratory, Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
| | - Alexander Loy
- Department of Microbial Ecology, Vienna Ecology Center, Faculty of Life Sciences, University of Vienna, Wien, Austria
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Roy NC, Altermann E, Park ZA, McNabb WC. A comparison of analog and Next-Generation transcriptomic tools for mammalian studies. Brief Funct Genomics 2011; 10:135-50. [DOI: 10.1093/bfgp/elr005] [Citation(s) in RCA: 48] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
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Wen J, Chiba A, Cai X. Computational identification of tissue-specific alternative splicing elements in mouse genes from RNA-Seq. Nucleic Acids Res 2010; 38:7895-907. [PMID: 20685814 PMCID: PMC3001057 DOI: 10.1093/nar/gkq679] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
Tissue-specific alternative splicing is a key mechanism for generating tissue-specific proteomic diversity in eukaryotes. Splicing regulatory elements (SREs) in pre-mature messenger RNA play a very important role in regulating alternative splicing. In this article, we use mouse RNA-Seq data to determine a positive data set where SREs are over-represented and a reliable negative data set where the same SREs are most likely under-represented for a specific tissue and then employ a powerful discriminative approach to identify SREs. We identified 456 putative splicing enhancers or silencers, of which 221 were predicted to be tissue-specific. Most of our tissue-specific SREs are likely different from constitutive SREs, since only 18% of our exonic splicing enhancers (ESEs) are contained in constitutive RESCUE-ESEs. A relatively small portion (20%) of our SREs is included in tissue-specific SREs in human identified in two recent studies. In the analysis of position distribution of SREs, we found that a dozen of SREs were biased to a specific region. We also identified two very interesting SREs that can function as an enhancer in one tissue but a silencer in another tissue from the same intronic region. These findings provide insight into the mechanism of tissue-specific alternative splicing and give a set of valuable putative SREs for further experimental investigations.
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Affiliation(s)
- Ji Wen
- Department of Electrical and Computer Engineering, University of Miami, 1251 Memorial Drive, Coral Gables, FL 33146, USA
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