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1.
Oncogene ; 42(31): 2363-2373, 2023 07.
Article in English | MEDLINE | ID: mdl-37433987

ABSTRACT

The chromatin remodeler SMARCA4/BRG1 is a key epigenetic regulator with diverse roles in coordinating the molecular programs that underlie brain tumour development. BRG1 function in brain cancer is largely specific to the tumour type and varies further between tumour subtypes, highlighting its complexity. Altered SMARCA4 expression has been linked to medulloblastoma, low-grade gliomas such as oligodendroglioma, high-grade gliomas such as glioblastoma and atypical/teratoid rhabdoid tumours. SMARCA4 mutations in brain cancer predominantly occur in the crucial catalytic ATPase domain, which is associated with tumour suppressor activity. However, SMARCA4 is opposingly seen to promote tumourigenesis in the absence of mutation and through overexpression in other brain tumours. This review explores the multifaceted interaction between SMARCA4 and various brain cancer types, highlighting its roles in tumour pathogenesis, the pathways it regulates, and the advances that have been made in understanding the functional relevance of mutations. We discuss developments made in targeting SMARCA4 and the potential to translate these to adjuvant therapies able to enhance current methods of brain cancer treatment.


Subject(s)
Brain Neoplasms , Cerebellar Neoplasms , DNA Helicases , Medulloblastoma , Nuclear Proteins , Humans , Adenosine Triphosphatases/metabolism , Brain Neoplasms/genetics , Chromatin/genetics , DNA Helicases/genetics , Medulloblastoma/genetics , Nuclear Proteins/genetics , Transcription Factors/genetics
2.
Clin Epigenetics ; 13(1): 37, 2021 02 17.
Article in English | MEDLINE | ID: mdl-33596994

ABSTRACT

BACKGROUND: BRG1 (encoded by SMARCA4) is a catalytic component of the SWI/SNF chromatin remodelling complex, with key roles in modulating DNA accessibility. Dysregulation of BRG1 is observed, but functionally uncharacterised, in a wide range of malignancies. We have probed the functions of BRG1 on a background of prostate cancer to investigate how BRG1 controls gene expression programmes and cancer cell behaviour. RESULTS: Our investigation of SMARCA4 revealed that BRG1 is over-expressed in the majority of the 486 tumours from The Cancer Genome Atlas prostate cohort, as well as in a complementary panel of 21 prostate cell lines. Next, we utilised a temporal model of BRG1 depletion to investigate the molecular effects on global transcription programmes. Depleting BRG1 had no impact on alternative splicing and conferred only modest effect on global expression. However, of the transcriptional changes that occurred, most manifested as down-regulated expression. Deeper examination found the common thread linking down-regulated genes was involvement in proliferation, including several known to increase prostate cancer proliferation (KLK2, PCAT1 and VAV3). Interestingly, the promoters of genes driving proliferation were bound by BRG1 as well as the transcription factors, AR and FOXA1. We also noted that BRG1 depletion repressed genes involved in cell cycle progression and DNA replication, but intriguingly, these pathways operated independently of AR and FOXA1. In agreement with transcriptional changes, depleting BRG1 conferred G1 arrest. CONCLUSIONS: Our data have revealed that BRG1 promotes cell cycle progression and DNA replication, consistent with the increased cell proliferation associated with oncogenesis.


Subject(s)
Cell Proliferation/genetics , Chromatin Assembly and Disassembly/genetics , DNA Helicases/genetics , Nuclear Proteins/genetics , Prostatic Neoplasms/genetics , Transcription Factors/genetics , Cell Cycle/genetics , Cell Line, Tumor , DNA Replication/genetics , Down-Regulation , Gene Expression , Humans , Male , Promoter Regions, Genetic , Transcription, Genetic/genetics
3.
J Am Chem Soc ; 142(35): 14751, 2020 09 02.
Article in English | MEDLINE | ID: mdl-32830483
4.
Nat Commun ; 11(1): 320, 2020 01 16.
Article in English | MEDLINE | ID: mdl-31949157

ABSTRACT

Endocrine therapy resistance frequently develops in estrogen receptor positive (ER+) breast cancer, but the underlying molecular mechanisms are largely unknown. Here, we show that 3-dimensional (3D) chromatin interactions both within and between topologically associating domains (TADs) frequently change in ER+ endocrine-resistant breast cancer cells and that the differential interactions are enriched for resistance-associated genetic variants at CTCF-bound anchors. Ectopic chromatin interactions are preferentially enriched at active enhancers and promoters and ER binding sites, and are associated with altered expression of ER-regulated genes, consistent with dynamic remodelling of ER pathways accompanying the development of endocrine resistance. We observe that loss of 3D chromatin interactions often occurs coincidently with hypermethylation and loss of ER binding. Alterations in active A and inactive B chromosomal compartments are also associated with decreased ER binding and atypical interactions and gene expression. Together, our results suggest that 3D epigenome remodelling is a key mechanism underlying endocrine resistance in ER+ breast cancer.


Subject(s)
Binding Sites , Breast Neoplasms/genetics , Chromatin/metabolism , Epigenesis, Genetic , Receptors, Estrogen/chemistry , Receptors, Estrogen/metabolism , Antineoplastic Agents, Hormonal/pharmacology , Breast Neoplasms/metabolism , CCCTC-Binding Factor/chemistry , CCCTC-Binding Factor/metabolism , Chromatin/chemistry , Chromatin/genetics , DNA Methylation , Epigenesis, Genetic/drug effects , Female , Gene Expression Regulation, Neoplastic , Humans , MCF-7 Cells , Neoplasm Proteins/genetics , Promoter Regions, Genetic/drug effects , Protein Interaction Domains and Motifs , Whole Genome Sequencing
5.
Epigenetics Chromatin ; 12(1): 12, 2019 02 12.
Article in English | MEDLINE | ID: mdl-30755246

ABSTRACT

BACKGROUND: ATP-dependent chromatin remodelling complexes are responsible for establishing and maintaining the positions of nucleosomes. Chromatin remodellers are targeted to chromatin by transcription factors and non-coding RNA to remodel the chromatin into functional states. However, the influence of chromatin remodelling on shaping the functional epigenome is not well understood. Moreover, chromatin remodellers have not been extensively explored as a collective group across two-dimensional and three-dimensional epigenomic layers. RESULTS: Here, we have integrated the genome-wide binding profiles of eight chromatin remodellers together with DNA methylation, nucleosome positioning, histone modification and Hi-C chromosomal contacts to reveal that chromatin remodellers can be stratified into two functional groups. Group 1 (BRG1, SNF2H, CHD3 and CHD4) has a clear preference for binding at 'actively marked' chromatin and Group 2 (BRM, INO80, SNF2L and CHD1) for 'repressively marked' chromatin. We find that histone modifications and chromatin architectural features, but not DNA methylation, stratify the remodellers into these functional groups. CONCLUSIONS: Our findings suggest that chromatin remodelling events are synchronous and that chromatin remodellers themselves should be considered simultaneously and not as individual entities in isolation or necessarily by structural similarity, as they are traditionally classified. Their coordinated function should be considered by preference for chromatin features in order to gain a more accurate and comprehensive picture of chromatin regulation.


Subject(s)
Chromatin Assembly and Disassembly , Epigenesis, Genetic , Histone Code , ATPases Associated with Diverse Cellular Activities , Adenosine Triphosphatases/metabolism , Chromosomal Proteins, Non-Histone/metabolism , DNA Helicases/metabolism , DNA-Binding Proteins/metabolism , Genome, Human , Humans , Mi-2 Nucleosome Remodeling and Deacetylase Complex/metabolism , Nuclear Proteins/metabolism , Transcription Factors/metabolism
6.
Bioinformatics ; 35(4): 560-570, 2019 02 15.
Article in English | MEDLINE | ID: mdl-30084929

ABSTRACT

MOTIVATION: A synoptic view of the human genome benefits chiefly from the application of nucleic acid sequencing and microarray technologies. These platforms allow interrogation of patterns such as gene expression and DNA methylation at the vast majority of canonical loci, allowing granular insights and opportunities for validation of original findings. However, problems arise when validating against a "gold standard" measurement, since this immediately biases all subsequent measurements towards that particular technology or protocol. Since all genomic measurements are estimates, in the absence of a "gold standard" we instead empirically assess the measurement precision and sensitivity of a large suite of genomic technologies via a consensus modelling method called the row-linear model. This method is an application of the American Society for Testing and Materials Standard E691 for assessing interlaboratory precision and sources of variability across multiple testing sites. Both cross-platform and cross-locus comparisons can be made across all common loci, allowing identification of technology- and locus-specific tendencies. RESULTS: We assess technologies including the Infinium MethylationEPIC BeadChip, whole genome bisulfite sequencing (WGBS), two different RNA-Seq protocols (PolyA+ and Ribo-Zero) and five different gene expression array platforms. Each technology thus is characterised herein, relative to the consensus. We showcase a number of applications of the row-linear model, including correlation with known interfering traits. We demonstrate a clear effect of cross-hybridisation on the sensitivity of Infinium methylation arrays. Additionally, we perform a true interlaboratory test on a set of samples interrogated on the same platform across twenty-one separate testing laboratories. AVAILABILITY AND IMPLEMENTATION: A full implementation of the row-linear model, plus extra functions for visualisation, are found in the R package consensus at https://github.com/timpeters82/consensus. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.


Subject(s)
Computational Biology , DNA Methylation , Genomics , Genome, Human , Humans , Oligonucleotide Array Sequence Analysis , Software
7.
Genome Res ; 26(6): 719-31, 2016 06.
Article in English | MEDLINE | ID: mdl-27053337

ABSTRACT

A three-dimensional chromatin state underpins the structural and functional basis of the genome by bringing regulatory elements and genes into close spatial proximity to ensure proper, cell-type-specific gene expression profiles. Here, we performed Hi-C chromosome conformation capture sequencing to investigate how three-dimensional chromatin organization is disrupted in the context of copy-number variation, long-range epigenetic remodeling, and atypical gene expression programs in prostate cancer. We find that cancer cells retain the ability to segment their genomes into megabase-sized topologically associated domains (TADs); however, these domains are generally smaller due to establishment of additional domain boundaries. Interestingly, a large proportion of the new cancer-specific domain boundaries occur at regions that display copy-number variation. Notably, a common deletion on 17p13.1 in prostate cancer spanning the TP53 tumor suppressor locus results in bifurcation of a single TAD into two distinct smaller TADs. Change in domain structure is also accompanied by novel cancer-specific chromatin interactions within the TADs that are enriched at regulatory elements such as enhancers, promoters, and insulators, and associated with alterations in gene expression. We also show that differential chromatin interactions across regulatory regions occur within long-range epigenetically activated or silenced regions of concordant gene activation or repression in prostate cancer. Finally, we present a novel visualization tool that enables integrated exploration of Hi-C interaction data, the transcriptome, and epigenome. This study provides new insights into the relationship between long-range epigenetic and genomic dysregulation and changes in higher-order chromatin interactions in cancer.


Subject(s)
Chromatin/genetics , Epigenesis, Genetic , Neoplasms/genetics , CCCTC-Binding Factor , Cell Line, Tumor , Enhancer Elements, Genetic , Gene Expression Regulation, Neoplastic , Genome, Human , Histones/metabolism , Humans , Molecular Sequence Annotation , Neoplasms/metabolism , Protein Binding , Protein Processing, Post-Translational , Repressor Proteins/physiology
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