101
|
Lefkofsky HB, Veloso A, Ljungman M. Transcriptional and post-transcriptional regulation of nucleotide excision repair genes in human cells. Mutat Res 2014; 776:9-15. [PMID: 26255935 DOI: 10.1016/j.mrfmmm.2014.11.008] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2014] [Revised: 11/02/2014] [Accepted: 11/24/2014] [Indexed: 10/24/2022]
Abstract
Nucleotide excision repair (NER) removes DNA helix-distorting lesions induced by UV light and various chemotherapeutic agents such as cisplatin. These lesions efficiently block the elongation of transcription and need to be rapidly removed by transcription-coupled NER (TC-NER) to avoid the induction of apoptosis. Twenty-nine genes have been classified to code for proteins participating in nucleotide excision repair (NER) in human cells. Here we explored the transcriptional and post-transcriptional regulation of these NER genes across 13 human cell lines using Bru-seq and BruChase-seq, respectively. Many NER genes are relatively large in size and therefore will be easily inactivated by UV-induced transcription-blocking lesions. Furthermore, many of these genes produce transcripts that are rather unstable. Thus, these genes are expected to rapidly lose expression leading to a diminished function of NER. One such gene is ERCC6 that codes for the CSB protein critical for TC-NER. Due to its large gene size and high RNA turnover rate, the ERCC6 gene may act as dosimeter of DNA damage so that at high levels of damage, ERCC6 RNA levels would be diminished leading to the loss of CSB expression, inhibition of TC-NER and the promotion of cell death.
Collapse
Affiliation(s)
- Hailey B Lefkofsky
- Translational Oncology Program, University of Michigan Medical School, Ann Arbor, MI, United States
| | - Artur Veloso
- Translational Oncology Program, University of Michigan Medical School, Ann Arbor, MI, United States; Department of Radiation Oncology, University of Michigan Medical School, Ann Arbor, MI, United States; Bioinformatics Program, Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, United States
| | - Mats Ljungman
- Translational Oncology Program, University of Michigan Medical School, Ann Arbor, MI, United States; Department of Radiation Oncology, University of Michigan Medical School, Ann Arbor, MI, United States; Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, United States.
| |
Collapse
|
102
|
Wilson TE, Arlt MF, Park SH, Rajendran S, Paulsen M, Ljungman M, Glover TW. Large transcription units unify copy number variants and common fragile sites arising under replication stress. Genome Res 2014; 25:189-200. [PMID: 25373142 PMCID: PMC4315293 DOI: 10.1101/gr.177121.114] [Citation(s) in RCA: 139] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
Copy number variants (CNVs) resulting from genomic deletions and duplications and common fragile sites (CFSs) seen as breaks on metaphase chromosomes are distinct forms of structural chromosome instability precipitated by replication inhibition. Although they share a common induction mechanism, it is not known how CNVs and CFSs are related or why some genomic loci are much more prone to their occurrence. Here we compare large sets of de novo CNVs and CFSs in several experimental cell systems to each other and to overlapping genomic features. We first show that CNV hotpots and CFSs occurred at the same human loci within a given cultured cell line. Bru-seq nascent RNA sequencing further demonstrated that although genomic regions with low CNV frequencies were enriched in transcribed genes, the CNV hotpots that matched CFSs specifically corresponded to the largest active transcription units in both human and mouse cells. Consistently, active transcription units >1 Mb were robust cell-type-specific predictors of induced CNV hotspots and CFS loci. Unlike most transcribed genes, these very large transcription units replicated late and organized deletion and duplication CNVs into their transcribed and flanking regions, respectively, supporting a role for transcription in replication-dependent lesion formation. These results indicate that active large transcription units drive extreme locus- and cell-type-specific genomic instability under replication stress, resulting in both CNVs and CFSs as different manifestations of perturbed replication dynamics.
Collapse
Affiliation(s)
| | | | | | | | - Michelle Paulsen
- Department of Radiation Oncology and Translational Oncology Program, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Mats Ljungman
- Department of Radiation Oncology and Translational Oncology Program, University of Michigan, Ann Arbor, Michigan 48109, USA
| | | |
Collapse
|
103
|
Carpenter S, Ricci EP, Mercier BC, Moore MJ, Fitzgerald KA. Post-transcriptional regulation of gene expression in innate immunity. Nat Rev Immunol 2014; 14:361-76. [PMID: 24854588 DOI: 10.1038/nri3682] [Citation(s) in RCA: 291] [Impact Index Per Article: 26.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Innate immune responses combat infectious microorganisms by inducing inflammatory responses, antimicrobial pathways and adaptive immunity. Multiple genes within each of these functional categories are coordinately and temporally regulated in response to distinct external stimuli. The substantial potential of these responses to drive pathological inflammation and tissue damage highlights the need for rigorous control of these responses. Although transcriptional control of inflammatory gene expression has been studied extensively, the importance of post-transcriptional regulation of these processes is less well defined. In this Review, we discuss the regulatory mechanisms that occur at the level of mRNA splicing, mRNA polyadenylation, mRNA stability and protein translation, and that have instrumental roles in controlling both the magnitude and duration of the inflammatory response.
Collapse
Affiliation(s)
- Susan Carpenter
- 1] Program in Innate Immunity, Division of Infectious Diseases and Immunology, Department of Medicine, University of Massachusetts Medical School, Worcester, Massachusetts 01605, USA. [2]
| | - Emiliano P Ricci
- 1] Howard Hughes Medical Institute, University of Massachusetts Medical School, Worcester, Massachusetts 01605, USA. [2]
| | - Blandine C Mercier
- 1] Howard Hughes Medical Institute, University of Massachusetts Medical School, Worcester, Massachusetts 01605, USA. [2]
| | - Melissa J Moore
- Howard Hughes Medical Institute, University of Massachusetts Medical School, Worcester, Massachusetts 01605, USA
| | - Katherine A Fitzgerald
- 1] Program in Innate Immunity, Division of Infectious Diseases and Immunology, Department of Medicine, University of Massachusetts Medical School, Worcester, Massachusetts 01605, USA. [2] Centre of Molecular Inflammation Research, Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology, 7491 Trondheim, Norway
| |
Collapse
|
104
|
Abstract
A striking finding in the past decade is the production of numerous non-coding RNAs (ncRNAs) from mammalian genomes. While it is entirely possible that many of those ncRNAs are transcription noises or by-products of RNA processing, increasing evidence suggests that a large fraction of them are functional and provide various regulatory activities in the cell. Thus, functional genomics and proteomics are incomplete without understanding functional ribonomics. As has been long suggested by the 'RNA world' hypothesis, many ncRNAs have the capacity to act like proteins in diverse biochemical processes. The enormous amount of information residing in the primary sequences and secondary structures of ncRNAs makes them particularly suited to function as scaffolds for molecular interactions. In addition, their functions appear to be stringently controlled by default via abundant nucleases when not engaged in specific interactions. This review focuses on the functional properties of regulatory ncRNAs in comparison with proteins and emphasizes both the opportunities and challenges in future ncRNA research.
Collapse
Affiliation(s)
- Xiang-Dong Fu
- Department of Cellular and Molecular Medicine, Institute of Genomic Medicine, University of California, San Diego, La Jolla, CA 92093-0651, USA
| |
Collapse
|
105
|
Derks KWJ, Hoeijmakers JHJ, Pothof J. The DNA damage response: the omics era and its impact. DNA Repair (Amst) 2014; 19:214-20. [PMID: 24794401 DOI: 10.1016/j.dnarep.2014.03.008] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
The emergence of high density technologies monitoring the genome, transcriptome and proteome in relation to genotoxic stress have tremendously enhanced our knowledge on global responses and dynamics in the DNA damage response, including its relation with cancer and aging. Moreover, '-omics' technologies identified many novel factors, their post-translational modifications, pathways and global responses in the cellular response to DNA damage. Based on omics, it is currently estimated that thousands of gene(product)s participate in the DNA damage response, recognizing complex networks that determine cell fate after damage to the most precious cellular molecule, DNA. The development of next generation sequencing technology and associated specialized protocols can quantitatively monitor RNA and DNA at unprecedented single nucleotide resolution. In this review we will discuss the contribution of omics technologies and in particular next generation sequencing to our understanding of the DNA damage response and the future prospective of next generation sequencing, its single cell application and omics dataset integration in unraveling intricate DNA damage signaling networks.
Collapse
Affiliation(s)
- Kasper W J Derks
- Department of Genetics, Netherlands Toxicogenomics Center, Erasmus University Medical Center, Dr. Molewaterplein 50, 3015 GE Rotterdam, The Netherlands
| | - Jan H J Hoeijmakers
- Department of Genetics, Netherlands Toxicogenomics Center, Erasmus University Medical Center, Dr. Molewaterplein 50, 3015 GE Rotterdam, The Netherlands
| | - Joris Pothof
- Department of Genetics, Netherlands Toxicogenomics Center, Erasmus University Medical Center, Dr. Molewaterplein 50, 3015 GE Rotterdam, The Netherlands.
| |
Collapse
|
106
|
Veloso A, Kirkconnell KS, Magnuson B, Biewen B, Paulsen MT, Wilson TE, Ljungman M. Rate of elongation by RNA polymerase II is associated with specific gene features and epigenetic modifications. Genome Res 2014; 24:896-905. [PMID: 24714810 PMCID: PMC4032854 DOI: 10.1101/gr.171405.113] [Citation(s) in RCA: 201] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
The rate of transcription elongation plays an important role in the timing of expression of full-length transcripts as well as in the regulation of alternative splicing. In this study, we coupled Bru-seq technology with 5,6-dichlorobenzimidazole 1-β-D-ribofuranoside (DRB) to estimate the elongation rates of over 2000 individual genes in human cells. This technique, BruDRB-seq, revealed gene-specific differences in elongation rates with a median rate of around 1.5 kb/min. We found that genes with rapid elongation rates showed higher densities of H3K79me2 and H4K20me1 histone marks compared to slower elongating genes. Furthermore, high elongation rates had a positive correlation with gene length, low complexity DNA sequence, and distance from the nearest active transcription unit. Features that negatively correlated with elongation rate included the density of exons, long terminal repeats, GC content of the gene, and DNA methylation density in the bodies of genes. Our results suggest that some static gene features influence transcription elongation rates and that cells may alter elongation rates by epigenetic regulation. The BruDRB-seq technique offers new opportunities to interrogate mechanisms of regulation of transcription elongation.
Collapse
Affiliation(s)
- Artur Veloso
- Department of Radiation Oncology, University of Michigan Comprehensive Cancer Center and Translational Oncology Program, University of Michigan, Ann Arbor, Michigan 48109, USA; Bioinformatics Program, Department of Computational Medicine and Bioinformatics and Department of Statistics, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Killeen S Kirkconnell
- Department of Radiation Oncology, University of Michigan Comprehensive Cancer Center and Translational Oncology Program, University of Michigan, Ann Arbor, Michigan 48109, USA; Human Genetics Training Program, Department of Human Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Brian Magnuson
- Department of Radiation Oncology, University of Michigan Comprehensive Cancer Center and Translational Oncology Program, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Benjamin Biewen
- Department of Radiation Oncology, University of Michigan Comprehensive Cancer Center and Translational Oncology Program, University of Michigan, Ann Arbor, Michigan 48109, USA; Gustavus Adolphus College, St. Peter, Minnesota 56082, USA
| | - Michelle T Paulsen
- Department of Radiation Oncology, University of Michigan Comprehensive Cancer Center and Translational Oncology Program, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Thomas E Wilson
- Department of Pathology, University of Michigan, Ann Arbor, Michigan 48109, USA; Department of Human Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Mats Ljungman
- Department of Radiation Oncology, University of Michigan Comprehensive Cancer Center and Translational Oncology Program, University of Michigan, Ann Arbor, Michigan 48109, USA; Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, Michigan 48109, USA
| |
Collapse
|
107
|
Khabar KSA. Post-transcriptional control of cytokine gene expression in health and disease. J Interferon Cytokine Res 2014; 34:215-9. [PMID: 24552151 DOI: 10.1089/jir.2013.0151] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
Post-transcriptional control of cytokine gene expression is essential for rapid and transient response to stimuli and external stress. In health, post-transcriptional control is exerted by a number of trans-acting RNA-binding proteins and cis-acting sequence elements. These elements exist largely in the 3' untranslated region and comprise microRNA targets and notably AU-rich elements, and exert regulated mRNA decay and translation repression. Defects in this control can lead to increased and sustained production of pro-inflammatory mediators contributing to several chronic inflammatory disease and cancer states. This introduction to the Journal's special issue on the topic summarizes, in a non-comprehensive list, the types of RNA-binding protein and their target cytokines, and potential contributions to disease, and presents the highlights of the individual reviews.
Collapse
Affiliation(s)
- Khalid S A Khabar
- Department of BioMolecular Research, King Faisal Specialist Hospital and Research Centre , Riyadh, Saudi Arabia
| |
Collapse
|
108
|
Veloso A, Biewen B, Paulsen MT, Berg N, Carmo de Andrade Lima L, Prasad J, Bedi K, Magnuson B, Wilson TE, Ljungman M. Genome-wide transcriptional effects of the anti-cancer agent camptothecin. PLoS One 2013; 8:e78190. [PMID: 24194914 PMCID: PMC3806802 DOI: 10.1371/journal.pone.0078190] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2013] [Accepted: 09/02/2013] [Indexed: 11/19/2022] Open
Abstract
The anti-cancer drug camptothecin inhibits replication and transcription by trapping DNA topoisomerase I (Top1) covalently to DNA in a "cleavable complex". To examine the effects of camptothecin on RNA synthesis genome-wide we used Bru-Seq and show that camptothecin treatment primarily affected transcription elongation. We also observed that camptothecin increased RNA reads past transcription termination sites as well as at enhancer elements. Following removal of camptothecin, transcription spread as a wave from the 5'-end of genes with no recovery of transcription apparent from RNA polymerases stalled in the body of genes. As a result, camptothecin preferentially inhibited the expression of large genes such as proto-oncogenes, and anti-apoptotic genes while smaller ribosomal protein genes, pro-apoptotic genes and p53 target genes showed relative higher expression. Cockayne syndrome group B fibroblasts (CS-B), which are defective in transcription-coupled repair (TCR), showed an RNA synthesis recovery profile similar to normal fibroblasts suggesting that TCR is not involved in the repair of or RNA synthesis recovery from transcription-blocking Top1 lesions. These findings of the effects of camptothecin on transcription have important implications for its anti-cancer activities and may aid in the design of improved combinatorial treatments involving Top1 poisons.
Collapse
Affiliation(s)
- Artur Veloso
- Department of Radiation Oncology, University of Michigan Comprehensive Cancer Center and Translational Oncology Program, University of Michigan, Ann Arbor, Michigan, United States of America
- Bioinformatics Program and Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Benjamin Biewen
- Department of Radiation Oncology, University of Michigan Comprehensive Cancer Center and Translational Oncology Program, University of Michigan, Ann Arbor, Michigan, United States of America
- Gustavus Adolphus College, St. Peter, Minnesota, United States of America
| | - Michelle T. Paulsen
- Department of Radiation Oncology, University of Michigan Comprehensive Cancer Center and Translational Oncology Program, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Nathan Berg
- Department of Radiation Oncology, University of Michigan Comprehensive Cancer Center and Translational Oncology Program, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Leonardo Carmo de Andrade Lima
- Department of Radiation Oncology, University of Michigan Comprehensive Cancer Center and Translational Oncology Program, University of Michigan, Ann Arbor, Michigan, United States of America
- University of Sao Paulo, Sao Paulo, Brazil
| | - Jayendra Prasad
- Department of Radiation Oncology, University of Michigan Comprehensive Cancer Center and Translational Oncology Program, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Karan Bedi
- Department of Radiation Oncology, University of Michigan Comprehensive Cancer Center and Translational Oncology Program, University of Michigan, Ann Arbor, Michigan, United States of America
- Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Brian Magnuson
- Department of Radiation Oncology, University of Michigan Comprehensive Cancer Center and Translational Oncology Program, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Thomas E. Wilson
- Department of Pathology, University of Michigan, Ann Arbor, Michigan, United States of America
- Department of Human Genetics, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Mats Ljungman
- Department of Radiation Oncology, University of Michigan Comprehensive Cancer Center and Translational Oncology Program, University of Michigan, Ann Arbor, Michigan, United States of America
- Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, Michigan, United States of America
- * E-mail:
| |
Collapse
|
109
|
Paulsen MT, Veloso A, Prasad J, Bedi K, Ljungman EA, Magnuson B, Wilson TE, Ljungman M. Use of Bru-Seq and BruChase-Seq for genome-wide assessment of the synthesis and stability of RNA. Methods 2013; 67:45-54. [PMID: 23973811 DOI: 10.1016/j.ymeth.2013.08.015] [Citation(s) in RCA: 142] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2013] [Revised: 08/10/2013] [Accepted: 08/15/2013] [Indexed: 11/29/2022] Open
Abstract
Gene expression studies commonly examine total cellular RNA, which only provides information about its steady-state pool of RNA. It remains unclear whether differences in the steady-state reflects variable rates of transcription or RNA degradation. To specifically monitor RNA synthesis and degradation genome-wide, we developed Bru-Seq and BruChase-Seq. These assays are based on metabolic pulse-chase labeling of RNA using bromouridine (Bru). In Bru-Seq, recently labeled RNAs are sequenced to reveal spans of nascent transcription in the genome. In BruChase-Seq, cells are chased in uridine for different periods of time following Bru-labeling, allowing for the isolation of RNA populations of specific ages. Here we describe these methodologies in detail and highlight their usefulness in assessing RNA synthesis and stability as well as splicing kinetics with examples of specific genes from different human cell lines.
Collapse
Affiliation(s)
- Michelle T Paulsen
- Department of Radiation Oncology, University of Michigan Comprehensive Cancer Center and Translational Oncology Program, University of Michigan, Ann Arbor, MI, USA
| | - Artur Veloso
- Department of Radiation Oncology, University of Michigan Comprehensive Cancer Center and Translational Oncology Program, University of Michigan, Ann Arbor, MI, USA; Bioinformatics Program, University of Michigan, Ann Arbor, MI, USA
| | - Jayendra Prasad
- Department of Radiation Oncology, University of Michigan Comprehensive Cancer Center and Translational Oncology Program, University of Michigan, Ann Arbor, MI, USA
| | - Karan Bedi
- Department of Radiation Oncology, University of Michigan Comprehensive Cancer Center and Translational Oncology Program, University of Michigan, Ann Arbor, MI, USA; Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Emily A Ljungman
- Department of Radiation Oncology, University of Michigan Comprehensive Cancer Center and Translational Oncology Program, University of Michigan, Ann Arbor, MI, USA
| | - Brian Magnuson
- Department of Radiation Oncology, University of Michigan Comprehensive Cancer Center and Translational Oncology Program, University of Michigan, Ann Arbor, MI, USA
| | - Thomas E Wilson
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA; Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Mats Ljungman
- Department of Radiation Oncology, University of Michigan Comprehensive Cancer Center and Translational Oncology Program, University of Michigan, Ann Arbor, MI, USA; Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
| |
Collapse
|