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Gallop Racing Shifts Mature mRNA towards Introns: Does Exercise-Induced Stress Enhance Genome Plasticity? Genes (Basel) 2020; 11:genes11040410. [PMID: 32283859 PMCID: PMC7230505 DOI: 10.3390/genes11040410] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Revised: 03/26/2020] [Accepted: 04/07/2020] [Indexed: 12/25/2022] Open
Abstract
Physical exercise is universally recognized as stressful. Among the "sport species", the horse is probably the most appropriate model for investigating the genomic response to stress due to the homogeneity of its genetic background. The aim of this work is to dissect the whole transcription modulation in Peripheral Blood Mononuclear Cells (PBMCs) after exercise with a time course framework focusing on unexplored regions related to introns and intergenic portions. PBMCs NGS from five 3 year old Sardinian Anglo-Arab racehorses collected at rest and after a 2000 m race was performed. Apart from differential gene expression ascertainment between the two time points the complexity of transcription for alternative transcripts was identified. Interestingly, we noted a transcription shift from the coding to the non-coding regions. We further investigated the possible causes of this phenomenon focusing on genomic repeats, using a differential expression approach and finding a strong general up-regulation of repetitive elements such as LINE. Since their modulation is also associated with the "exonization", the recruitment of repeats that act with regulatory functions, suggesting that there might be an active regulation of this transcriptional shift. Thanks to an innovative bioinformatic approach, our study could represent a model for the transcriptomic investigation of stress.
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352
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Williams JL, Paudyal A, Awad S, Nicholson J, Grzesik D, Botta J, Meimaridou E, Maharaj AV, Stewart M, Tinker A, Cox RD, Metherell LA. Mylk3 null C57BL/6N mice develop cardiomyopathy, whereas Nnt null C57BL/6J mice do not. Life Sci Alliance 2020; 3:3/4/e201900593. [PMID: 32213617 PMCID: PMC7103425 DOI: 10.26508/lsa.201900593] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Revised: 03/10/2020] [Accepted: 03/10/2020] [Indexed: 12/30/2022] Open
Abstract
The C57BL/6J and C57BL/6N mice have well-documented phenotypic and genotypic differences, including the infamous nicotinamide nucleotide transhydrogenase (Nnt) null mutation in the C57BL/6J substrain, which has been linked to cardiovascular traits in mice and cardiomyopathy in humans. To assess whether Nnt loss alone causes a cardiovascular phenotype, we investigated the C57BL/6N, C57BL/6J mice and a C57BL/6J-BAC transgenic rescuing NNT expression, at 3, 12, and 18 mo. We identified a modest dilated cardiomyopathy in the C57BL/6N mice, absent in the two B6J substrains. Immunofluorescent staining of cardiomyocytes revealed eccentric hypertrophy in these mice, with defects in sarcomere organisation. RNAseq analysis identified differential expression of a number of cardiac remodelling genes commonly associated with cardiac disease segregating with the phenotype. Variant calling from RNAseq data identified a myosin light chain kinase 3 (Mylk3) mutation in C57BL/6N mice, which abolishes MYLK3 protein expression. These results indicate the C57BL/6J Nnt-null mice do not develop cardiomyopathy; however, we identified a null mutation in Mylk3 as a credible cause of the cardiomyopathy phenotype in the C57BL/6N.
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Affiliation(s)
- Jack L Williams
- Centre for Endocrinology, William Harvey Research Institute, Charterhouse Square, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Anju Paudyal
- Medical Research Council Harwell Institute, Mary Lyon Centre, Harwell Campus, Oxfordshire, UK
| | - Sherine Awad
- Centre for Endocrinology, William Harvey Research Institute, Charterhouse Square, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - James Nicholson
- Centre for Endocrinology, William Harvey Research Institute, Charterhouse Square, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Dominika Grzesik
- Centre for Endocrinology, William Harvey Research Institute, Charterhouse Square, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Joaquin Botta
- Centre for Endocrinology, William Harvey Research Institute, Charterhouse Square, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Eirini Meimaridou
- School of Human Sciences, London Metropolitan University, London, UK
| | - Avinaash V Maharaj
- Centre for Endocrinology, William Harvey Research Institute, Charterhouse Square, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Michelle Stewart
- Medical Research Council Harwell Institute, Mary Lyon Centre, Harwell Campus, Oxfordshire, UK
| | - Andrew Tinker
- William Harvey Heart Centre, William Harvey Research Institute, Charterhouse Square, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Roger D Cox
- Medical Research Council Harwell Institute, Mammalian Genetics Unit, Harwell Campus, Oxfordshire, UK
| | - Lou A Metherell
- Centre for Endocrinology, William Harvey Research Institute, Charterhouse Square, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
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353
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Empowering Retinal Gene Therapy with a Specific Promoter for Human Rod and Cone ON-Bipolar Cells. MOLECULAR THERAPY-METHODS & CLINICAL DEVELOPMENT 2020; 17:505-519. [PMID: 32258214 PMCID: PMC7114634 DOI: 10.1016/j.omtm.2020.03.003] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Accepted: 03/09/2020] [Indexed: 12/31/2022]
Abstract
Optogenetic gene therapy holds promise to restore high-quality vision in blind patients and recently reached clinical trials. Although the ON-bipolar cells, the first retinal interneurons, make the most attractive targets for optogenetic vision restoration, they have remained inaccessible to human gene therapy due to the lack of a robust cell-specific promoter. We describe the design and functional evaluation of 770En_454P(hGRM6), a human GRM6 gene-derived, short promoter that drives strong and highly specific expression in both the rod- and cone-type ON-bipolar cells of the human retina. Expression also in cone-type ON-bipolar cells is of importance, since the cone-dominated macula mediates high-acuity vision and is the primary target of gene therapies. 770En_454P(hGRM6)-driven middle-wave opsin expression in ON-bipolar cells achieved lasting restoration of high visual acuity in the rd1 mouse model of late retinal degeneration. The new promoter enables precise manipulation of the inner retinal network and paves the way for clinical application of gene therapies for high-resolution optogenetic vision restoration, raising hopes of significantly improving the life quality of people suffering from blindness.
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354
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Harris RA, Raveendran M, Worley KC, Rogers J. Unusual sequence characteristics of human chromosome 19 are conserved across 11 nonhuman primates. BMC Evol Biol 2020; 20:33. [PMID: 32106815 PMCID: PMC7045612 DOI: 10.1186/s12862-020-1595-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Accepted: 02/11/2020] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Human chromosome 19 has many unique characteristics including gene density more than double the genome-wide average and 20 large tandemly clustered gene families. It also has the highest GC content of any chromosome, especially outside gene clusters. The high GC content and concomitant high content of hypermutable CpG sites raises the possibility chromosome 19 exhibits higher levels of nucleotide diversity both within and between species, and may possess greater variation in DNA methylation that regulates gene expression. RESULTS We examined GC and CpG content of chromosome 19 orthologs across representatives of the primate order. In all 12 primate species with suitable genome assemblies, chromosome 19 orthologs have the highest GC content of any chromosome. CpG dinucleotides and CpG islands are also more prevalent in chromosome 19 orthologs than other chromosomes. GC and CpG content are generally higher outside the gene clusters. Intra-species variation based on SNPs in human common dbSNP, rhesus, crab eating macaque, baboon and marmoset datasets is most prevalent on chromosome 19 and its orthologs. Inter-species comparisons based on phyloP conservation show accelerated nucleotide evolution for chromosome 19 promoter flanking and enhancer regions. These same regulatory regions show the highest CpG density of any chromosome suggesting they possess considerable methylome regulatory potential. CONCLUSIONS The pattern of high GC and CpG content in chromosome 19 orthologs, particularly outside gene clusters, is present from human to mouse lemur representing 74 million years of primate evolution. Much CpG variation exists both within and between primate species with a portion of this variation occurring in regulatory regions.
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Affiliation(s)
- R Alan Harris
- Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Mail Stop: BCM226, Houston, TX, 77030, USA.
- Department of Molecular and Human Genetics, Baylor College of Medicine, One Baylor Plaza, Mail Stop: BCM226, Houston, TX, 77030, USA.
| | - Muthuswamy Raveendran
- Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Mail Stop: BCM226, Houston, TX, 77030, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, One Baylor Plaza, Mail Stop: BCM226, Houston, TX, 77030, USA
| | - Kim C Worley
- Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Mail Stop: BCM226, Houston, TX, 77030, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, One Baylor Plaza, Mail Stop: BCM226, Houston, TX, 77030, USA
| | - Jeffrey Rogers
- Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Mail Stop: BCM226, Houston, TX, 77030, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, One Baylor Plaza, Mail Stop: BCM226, Houston, TX, 77030, USA
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355
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King DM, Hong CKY, Shepherdson JL, Granas DM, Maricque BB, Cohen BA. Synthetic and genomic regulatory elements reveal aspects of cis-regulatory grammar in mouse embryonic stem cells. eLife 2020; 9:41279. [PMID: 32043966 PMCID: PMC7077988 DOI: 10.7554/elife.41279] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2018] [Accepted: 02/07/2020] [Indexed: 01/08/2023] Open
Abstract
In embryonic stem cells (ESCs), a core transcription factor (TF) network establishes the gene expression program necessary for pluripotency. To address how interactions between four key TFs contribute to cis-regulation in mouse ESCs, we assayed two massively parallel reporter assay (MPRA) libraries composed of binding sites for SOX2, POU5F1 (OCT4), KLF4, and ESRRB. Comparisons between synthetic cis-regulatory elements and genomic sequences with comparable binding site configurations revealed some aspects of a regulatory grammar. The expression of synthetic elements is influenced by both the number and arrangement of binding sites. This grammar plays only a small role for genomic sequences, as the relative activities of genomic sequences are best explained by the predicted occupancy of binding sites, regardless of binding site identity and positioning. Our results suggest that the effects of transcription factor binding sites (TFBS) are influenced by the order and orientation of sites, but that in the genome the overall occupancy of TFs is the primary determinant of activity. Transcription factors are proteins that flip genetic switches; their role is to control when and where genes are active. They do this by binding to short stretches of DNA called cis-regulatory sequences. Each sequence can have several binding sites for different transcription factors, but it is largely unclear whether the transcription factors binding to the same regulatory sequence actually work together. It is possible that each transcription factor may work independently and there only needs to be critical mass of transcription factors bound to throw the genetic switch. If this is the case, the most important features of a cis-regulatory sequence should be the number of binding sites it contains, and how tightly the transcription factors bind to those sites. The more transcription factors and the more strongly they bind, the more active the gene should be. An alternative option is that certain transcription factors may work better together, enhancing each other's effects such that the total effect is more than the sum of its parts. If this is true, the order, orientation and spacing of the binding sites within a sequence should matter more than the number. One way to investigate to distinguish between these possibilities is to study mouse embryonic stem cells, which have a core set of four transcription factors. Looking directly at a real genome, however, can be confusing and it is difficult to measure the effects of different cis-regulatory sequences because genes differ in so many other ways. To tackle this problem, King et al. created a synthetic set of cis-regulatory sequences based on the four core transcription factors found in mouse stem cells. The synthetic set had every combination of two, three or four of the binding sites, with each site either facing forwards or backwards along the DNA strand. King et al. attached each of the synthetic cis-regulatory sequences to a reporter gene to find out how well each sequence performed. This revealed that the cis-regulatory sequences with the most binding sites and the tightest binding affinities work best, suggesting that transcription factors mainly work independently. There was evidence of some interaction between some transcription factors, because, of the synthetic sequences with four binding sites, some worked better than others, and there were patterns in the most effective binding site combinations. However, these effects were small and when King et al. went on to test sequences from the real mouse genome, the most important factor by far was the number of binding sites. Synthetic libraries of DNA sequences allow researchers to examine gene regulation more clearly than is possible in real genomes. Yet this approach does have its limitations and it is impossible to capture every type of cis-regulatory sequence in one library. The next step to extend this work is to combine the two approaches, taking sequences from the real genome and manipulating them one by one. This could help to unravel the rules that govern how cis-regulatory sequences work in real cells.
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Affiliation(s)
- Dana M King
- Edison Center for Genome Sciences and Systems Biology, Washington University in St. Louis, St. Louis, United States.,Department of Genetics, Washington University in St. Louis, St. Louis, United States
| | - Clarice Kit Yee Hong
- Edison Center for Genome Sciences and Systems Biology, Washington University in St. Louis, St. Louis, United States.,Department of Genetics, Washington University in St. Louis, St. Louis, United States
| | - James L Shepherdson
- Edison Center for Genome Sciences and Systems Biology, Washington University in St. Louis, St. Louis, United States.,Department of Genetics, Washington University in St. Louis, St. Louis, United States
| | - David M Granas
- Edison Center for Genome Sciences and Systems Biology, Washington University in St. Louis, St. Louis, United States.,Department of Genetics, Washington University in St. Louis, St. Louis, United States
| | - Brett B Maricque
- Edison Center for Genome Sciences and Systems Biology, Washington University in St. Louis, St. Louis, United States.,Department of Genetics, Washington University in St. Louis, St. Louis, United States
| | - Barak A Cohen
- Edison Center for Genome Sciences and Systems Biology, Washington University in St. Louis, St. Louis, United States.,Department of Genetics, Washington University in St. Louis, St. Louis, United States
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356
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Walker LA, Sovic MG, Chiang CL, Hu E, Denninger JK, Chen X, Kirby ED, Byrd JC, Muthusamy N, Bundschuh R, Yan P. CLEAR: coverage-based limiting-cell experiment analysis for RNA-seq. J Transl Med 2020; 18:63. [PMID: 32039730 PMCID: PMC7008572 DOI: 10.1186/s12967-020-02247-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2019] [Accepted: 01/28/2020] [Indexed: 01/07/2023] Open
Abstract
Background Direct cDNA preamplification protocols developed for single-cell RNA-seq have enabled transcriptome profiling of precious clinical samples and rare cell populations without the need for sample pooling or RNA extraction. We term the use of single-cell chemistries for sequencing low numbers of cells limiting-cell RNA-seq (lcRNA-seq). Currently, there is no customized algorithm to select robust/low-noise transcripts from lcRNA-seq data for between-group comparisons. Methods Herein, we present CLEAR, a workflow that identifies reliably quantifiable transcripts in lcRNA-seq data for differentially expressed genes (DEG) analysis. Total RNA obtained from primary chronic lymphocytic leukemia (CLL) CD5+ and CD5− cells were used to develop the CLEAR algorithm. Once established, the performance of CLEAR was evaluated with FACS-sorted cells enriched from mouse Dentate Gyrus (DG). Results When using CLEAR transcripts vs. using all transcripts in CLL samples, downstream analyses revealed a higher proportion of shared transcripts across three input amounts and improved principal component analysis (PCA) separation of the two cell types. In mouse DG samples, CLEAR identifies noisy transcripts and their removal improves PCA separation of the anticipated cell populations. In addition, CLEAR was applied to two publicly-available datasets to demonstrate its utility in lcRNA-seq data from other institutions. If imputation is applied to limit the effect of missing data points, CLEAR can also be used in large clinical trials and in single cell studies. Conclusions lcRNA-seq coupled with CLEAR is widely used in our institution for profiling immune cells (circulating or tissue-infiltrating) for its transcript preservation characteristics. CLEAR fills an important niche in pre-processing lcRNA-seq data to facilitate transcriptome profiling and DEG analysis. We demonstrate the utility of CLEAR in analyzing rare cell populations in clinical samples and in murine neural DG region without sample pooling.
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Affiliation(s)
- Logan A Walker
- Department of Physics, College of Arts and Sciences, The Ohio State University, Columbus, OH, USA.,The Ohio State University Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA
| | - Michael G Sovic
- The Ohio State University Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA
| | - Chi-Ling Chiang
- The Ohio State University Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.,Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH, USA
| | - Eileen Hu
- The Ohio State University Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.,Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH, USA
| | - Jiyeon K Denninger
- Department of Psychology, College of Arts and Sciences, The Ohio State University, Columbus, OH, USA
| | - Xi Chen
- The Ohio State University Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA
| | - Elizabeth D Kirby
- Department of Psychology, College of Arts and Sciences, The Ohio State University, Columbus, OH, USA.,Chronic Brain Injury Program, The Ohio State University, Columbus, OH, USA
| | - John C Byrd
- The Ohio State University Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.,Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH, USA
| | - Natarajan Muthusamy
- The Ohio State University Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.,Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH, USA
| | - Ralf Bundschuh
- Department of Physics, College of Arts and Sciences, The Ohio State University, Columbus, OH, USA. .,Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH, USA. .,Department of Chemistry & Biochemistry, College of Arts and Sciences, The Ohio State University, Columbus, OH, USA. .,Center for RNA Biology, The Ohio State University, Columbus, OH, USA.
| | - Pearlly Yan
- The Ohio State University Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA. .,Division of Hematology, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH, USA.
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357
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Lee IH, Negron JA, Hernandez-Ferrer C, Alvarez WJ, Mandl KD, Kong SW. The Clinical Genome and Ancestry Report: An interactive web application for prioritizing clinically implicated variants from genome sequencing data with ancestry composition. Hum Mutat 2020; 41:387-396. [PMID: 31691385 PMCID: PMC7180092 DOI: 10.1002/humu.23942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2019] [Revised: 10/24/2019] [Accepted: 11/01/2019] [Indexed: 11/08/2022]
Abstract
Genome sequencing is positioned as a routine clinical work-up for diverse clinical conditions. A commonly used approach to highlight candidate variants with potential clinical implication is to search over locus- and gene-centric knowledge databases. Most web-based applications allow a federated query across diverse databases for a single variant; however, sifting through a large number of genomic variants with combination of filtering criteria is a substantial challenge. Here we describe the Clinical Genome and Ancestry Report (CGAR), an interactive web application developed to follow clinical interpretation workflows by organizing variants into seven categories: (1) reported disease-associated variants, (2) rare- and high-impact variants in putative disease-associated genes, (3) secondary findings that the American College of Medical Genetics and Genomics recommends reporting back to patients, (4) actionable pharmacogenomic variants, (5) focused reports for candidate genes, (6) de novo variant candidates for trio analysis, and (7) germline and somatic variants implicated in cancer risk, diagnosis, treatment and prognosis. For each variant, a comprehensive list of external links to variant-centric and phenotype databases are provided. Furthermore, genotype-derived ancestral composition is used to highlight allele frequencies from a matched population since some disease-associated variants show a wide variation between populations. CGAR is an open-source software and is available at https://tom.tch.harvard.edu/apps/cgar/.
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Affiliation(s)
- In-Hee Lee
- Computational Health Informatics Program, Boston Children’s Hospital, Boston, MA 02115
| | - Jose A. Negron
- Computational Health Informatics Program, Boston Children’s Hospital, Boston, MA 02115
| | | | | | - Kenneth D. Mandl
- Computational Health Informatics Program, Boston Children’s Hospital, Boston, MA 02115
- Department of Pediatrics, Harvard Medical School, Boston, MA 02115
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115
| | - Sek Won Kong
- Computational Health Informatics Program, Boston Children’s Hospital, Boston, MA 02115
- Department of Pediatrics, Harvard Medical School, Boston, MA 02115
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358
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Rose Li Y, Halliwill KD, Adams CJ, Iyer V, Riva L, Mamunur R, Jen KY, Del Rosario R, Fredlund E, Hirst G, Alexandrov LB, Adams D, Balmain A. Mutational signatures in tumours induced by high and low energy radiation in Trp53 deficient mice. Nat Commun 2020; 11:394. [PMID: 31959748 PMCID: PMC6971050 DOI: 10.1038/s41467-019-14261-4] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Accepted: 12/17/2019] [Indexed: 02/07/2023] Open
Abstract
Ionising radiation (IR) is a recognised carcinogen responsible for cancer development in patients previously treated using radiotherapy, and in individuals exposed as a result of accidents at nuclear energy plants. However, the mutational signatures induced by distinct types and doses of radiation are unknown. Here, we analyse the genetic architecture of mammary tumours, lymphomas and sarcomas induced by high (56Fe-ions) or low (gamma) energy radiation in mice carrying Trp53 loss of function alleles. In mammary tumours, high-energy radiation is associated with induction of focal structural variants, leading to genomic instability and Met amplification. Gamma-radiation is linked to large-scale structural variants and a point mutation signature associated with oxidative stress. The genomic architecture of carcinomas, sarcomas and lymphomas arising in the same animals are significantly different. Our study illustrates the complex interactions between radiation quality, germline Trp53 deficiency and tissue/cell of origin in shaping the genomic landscape of IR-induced tumours.
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Affiliation(s)
- Yun Rose Li
- UCSF Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, 94158, USA
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, 94143, USA
| | - Kyle D Halliwill
- UCSF Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, 94158, USA
- Abbvie, Redwood City, CA, 94063, USA
| | - Cassandra J Adams
- UCSF Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, 94158, USA
- Nuffield Department of Medicine, University of Oxford, Oxford OX7DQ, UK
| | - Vivek Iyer
- Experimental Cancer Genetics, Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1HH, UK
| | - Laura Riva
- Experimental Cancer Genetics, Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1HH, UK
| | - Rashid Mamunur
- Experimental Cancer Genetics, Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1HH, UK
| | - Kuang-Yu Jen
- UCSF Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, 94158, USA
- Department of Pathology, University of California Davis Medical Center, Sacramento, CA, USA
| | - Reyno Del Rosario
- UCSF Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Erik Fredlund
- UCSF Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, 94158, USA
- Doublestrand Bioinformatics, 11331, Stockholm, Sweden
| | - Gillian Hirst
- UCSF Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Ludmil B Alexandrov
- Department of Cellular and Molecular Medicine and Department of Bioengineering, Moores Cancer Center, University of California, San Diego, La Jolla, CA, 92093, USA
| | - David Adams
- Experimental Cancer Genetics, Wellcome Trust Sanger Institute, Hinxton, Cambridge, CB10 1HH, UK.
| | - Allan Balmain
- UCSF Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, 94158, USA.
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA, 94158, USA.
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359
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Li JY, Wang YY, Shao T, Fan DD, Lin AF, Xiang LX, Shao JZ. The zebrafish NLRP3 inflammasome has functional roles in ASC-dependent interleukin-1β maturation and gasdermin E–mediated pyroptosis. J Biol Chem 2020. [DOI: 10.1016/s0021-9258(17)49920-0] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
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360
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Lee H, Chawla HS, Obermeier C, Dreyer F, Abbadi A, Snowdon R. Chromosome-Scale Assembly of Winter Oilseed Rape Brassica napus. FRONTIERS IN PLANT SCIENCE 2020; 11:496. [PMID: 32411167 PMCID: PMC7202327 DOI: 10.3389/fpls.2020.00496] [Citation(s) in RCA: 46] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Accepted: 04/01/2020] [Indexed: 05/19/2023]
Abstract
Rapeseed (Brassica napus), the second most important oilseed crop globally, originated from an interspecific hybridization between B. rapa and B. oleracea. After this genome collision, B. napus underwent extensive genome restructuring, via homoeologous chromosome exchanges, resulting in widespread segmental deletions and duplications. Illicit pairing among genetically similar homoeologous chromosomes during meiosis is common in recent allopolyploids like B. napus, and post-polyploidization restructuring compounds the difficulties of assembling a complex polyploid plant genome. Specifically, genomic rearrangements between highly similar chromosomes are challenging to detect due to the limitation of sequencing read length and ambiguous alignment of reads. Recent advances in long read sequencing technologies provide promising new opportunities to unravel the genome complexities of B. napus by encompassing breakpoints of genomic rearrangements with high specificity. Moreover, recent evidence revealed ongoing genomic exchanges in natural B. napus, highlighting the need for multiple reference genomes to capture structural variants between accessions. Here we report the first long-read genome assembly of a winter B. napus cultivar. We sequenced the German winter oilseed rape accession 'Express 617' using 54.5x of long reads. Short reads, linked reads, optical map data and high-density genetic maps were used to further correct and scaffold the assembly to form pseudochromosomes. The assembled Express 617 genome provides another valuable resource for Brassica genomics in understanding the genetic consequences of polyploidization, crop domestication, and breeding of recently-formed crop species.
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Affiliation(s)
- HueyTyng Lee
- Department of Plant Breeding, Justus Liebig University Giessen, Giessen, Germany
| | - Harmeet Singh Chawla
- Department of Plant Breeding, Justus Liebig University Giessen, Giessen, Germany
| | - Christian Obermeier
- Department of Plant Breeding, Justus Liebig University Giessen, Giessen, Germany
| | | | | | - Rod Snowdon
- Department of Plant Breeding, Justus Liebig University Giessen, Giessen, Germany
- *Correspondence: Rod Snowdon,
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361
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Lee H, Chawla HS, Obermeier C, Dreyer F, Abbadi A, Snowdon R. Chromosome-Scale Assembly of Winter Oilseed Rape Brassica napus. FRONTIERS IN PLANT SCIENCE 2020; 11:496. [PMID: 32411167 DOI: 10.3389/fpls.2020.00496/full] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Accepted: 04/01/2020] [Indexed: 05/21/2023]
Abstract
Rapeseed (Brassica napus), the second most important oilseed crop globally, originated from an interspecific hybridization between B. rapa and B. oleracea. After this genome collision, B. napus underwent extensive genome restructuring, via homoeologous chromosome exchanges, resulting in widespread segmental deletions and duplications. Illicit pairing among genetically similar homoeologous chromosomes during meiosis is common in recent allopolyploids like B. napus, and post-polyploidization restructuring compounds the difficulties of assembling a complex polyploid plant genome. Specifically, genomic rearrangements between highly similar chromosomes are challenging to detect due to the limitation of sequencing read length and ambiguous alignment of reads. Recent advances in long read sequencing technologies provide promising new opportunities to unravel the genome complexities of B. napus by encompassing breakpoints of genomic rearrangements with high specificity. Moreover, recent evidence revealed ongoing genomic exchanges in natural B. napus, highlighting the need for multiple reference genomes to capture structural variants between accessions. Here we report the first long-read genome assembly of a winter B. napus cultivar. We sequenced the German winter oilseed rape accession 'Express 617' using 54.5x of long reads. Short reads, linked reads, optical map data and high-density genetic maps were used to further correct and scaffold the assembly to form pseudochromosomes. The assembled Express 617 genome provides another valuable resource for Brassica genomics in understanding the genetic consequences of polyploidization, crop domestication, and breeding of recently-formed crop species.
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Affiliation(s)
- HueyTyng Lee
- Department of Plant Breeding, Justus Liebig University Giessen, Giessen, Germany
| | - Harmeet Singh Chawla
- Department of Plant Breeding, Justus Liebig University Giessen, Giessen, Germany
| | - Christian Obermeier
- Department of Plant Breeding, Justus Liebig University Giessen, Giessen, Germany
| | | | | | - Rod Snowdon
- Department of Plant Breeding, Justus Liebig University Giessen, Giessen, Germany
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362
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Wang S, Wang L, Zhang Y, Pang S, Wang X. PEIS: a novel approach of tumor purity estimation by identifying information sites through integrating signal based on DNA methylation data. BMC Bioinformatics 2019; 20:714. [PMID: 31888435 PMCID: PMC6936156 DOI: 10.1186/s12859-019-3227-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Tumor purity plays an important role in understanding the pathogenic mechanism of tumors. The purity of tumor samples is highly sensitive to tumor heterogeneity. Due to Intratumoral heterogeneity of genetic and epigenetic data, it is suitable to study the purity of tumors. Among them, there are many purity estimation methods based on copy number variation, gene expression and other data, while few use DNA methylation data and often based on selected information sites. Consequently, how to choose methylation sites as information sites has an important influence on the purity estimation results. At present, the selection of information sites was often based on the differentially methylated sites that only consider the mean signal, without considering other possible signals and the strong correlation among adjacent sites. RESULTS Considering integrating multi-signals and strong correlation among adjacent sites, we propose an approach, PEIS, to estimate the purity of tumor samples by selecting informative differential methylation sites. Application to 12 publicly available tumor datasets, it is shown that PEIS provides accurate results in the estimation of tumor purity which has a high consistency with other existing methods. Also, through comparing the results of different information sites selection methods in the evaluation of tumor purity, it shows the PEIS is superior to other methods. CONCLUSIONS A new method to estimate the purity of tumor samples is proposed. This approach integrates multi-signals of the CpG sites and the correlation between the sites. Experimental analysis shows that this method is in good agreement with other existing methods for estimating tumor purity.
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Affiliation(s)
- Shudong Wang
- College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, Shandong, China
| | - Lihua Wang
- College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, Shandong, China
| | - Yuanyuan Zhang
- College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, Shandong, China. .,School of Information and Control Engineering, Qingdao University of Technology, Qingdao, Shandong, China.
| | - Shanchen Pang
- College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, Shandong, China
| | - Xinzeng Wang
- College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao, Shandong, China.
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363
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Li JY, Wang YY, Shao T, Fan DD, Lin AF, Xiang LX, Shao JZ. The zebrafish NLRP3 inflammasome has functional roles in ASC-dependent interleukin-1β maturation and gasdermin E-mediated pyroptosis. J Biol Chem 2019; 295:1120-1141. [PMID: 31852739 DOI: 10.1074/jbc.ra119.011751] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Revised: 12/02/2019] [Indexed: 01/04/2023] Open
Abstract
The NLR family pyrin domain containing 3 (NLRP3) inflammasome is one of the best-characterized inflammasomes in humans and other mammals. However, knowledge about the NLRP3 inflammasome in nonmammalian species remains limited. Here, we report the molecular and functional identification of an NLRP3 homolog (DrNLRP3) in a zebrafish (Danio rerio) model. We found that DrNLRP3's overall structural architecture was shared with mammalian NLRP3s. It initiates a classical inflammasome assembly for zebrafish inflammatory caspase (DrCaspase-A/-B) activation and interleukin 1β (DrIL-1β) maturation in an apoptosis-associated speck-like protein containing a caspase-recruitment domain (ASC)-dependent manner, in which DrNLRP3 organizes DrASC into a filament that recruits DrCaspase-A/-B by homotypic pyrin domain (PYD)-PYD interactions. DrCaspase-A/-B activation in the DrNLRP3 inflammasome occurred in two steps, with DrCaspase-A being activated first and DrCaspase-B second. DrNLRP3 also directly activated full-length DrCaspase-B and elicited cell pyroptosis in a gasdermin E (GSDME)-dependent but ASC-independent manner. These two events were tightly coordinated by DrNLRP3 to ensure efficient IL-1β secretion for the initiation of host innate immunity. By knocking down DrNLRP3 in zebrafish embryos and generating a DrASC-knockout (DrASC-/-) fish clone, we characterized the function of the DrNLRP3 inflammasome in anti-bacterial immunity in vivo The results of our study disclosed the origin of the NLRP3 inflammasome in teleost fish, providing a cross-species understanding of the evolutionary history of inflammasomes. Our findings also indicate that the NLRP3 inflammasome may coordinate inflammatory cytokine processing and secretion through a GSDME-mediated pyroptotic pathway, uncovering a previously unrecognized regulatory function of NLRP3 in both inflammation and cell pyroptosis.
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Affiliation(s)
- Jiang-Yuan Li
- College of Life Sciences, Key Laboratory for Cell and Gene Engineering of Zhejiang Province, Zhejiang University, Hangzhou 310058, People's Republic of China
| | - Yue-Yi Wang
- College of Life Sciences, Key Laboratory for Cell and Gene Engineering of Zhejiang Province, Zhejiang University, Hangzhou 310058, People's Republic of China
| | - Tong Shao
- College of Life Sciences, Key Laboratory for Cell and Gene Engineering of Zhejiang Province, Zhejiang University, Hangzhou 310058, People's Republic of China
| | - Dong-Dong Fan
- College of Life Sciences, Key Laboratory for Cell and Gene Engineering of Zhejiang Province, Zhejiang University, Hangzhou 310058, People's Republic of China
| | - Ai-Fu Lin
- College of Life Sciences, Key Laboratory for Cell and Gene Engineering of Zhejiang Province, Zhejiang University, Hangzhou 310058, People's Republic of China
| | - Li-Xin Xiang
- College of Life Sciences, Key Laboratory for Cell and Gene Engineering of Zhejiang Province, Zhejiang University, Hangzhou 310058, People's Republic of China
| | - Jian-Zhong Shao
- College of Life Sciences, Key Laboratory for Cell and Gene Engineering of Zhejiang Province, Zhejiang University, Hangzhou 310058, People's Republic of China .,Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, People's Republic of China
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364
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Kirsanova E, Heringstad B, Lewandowska-Sabat A, Olsaker I. Identification of candidate genes affecting chronic subclinical mastitis in Norwegian Red cattle: combining genome-wide association study, topologically associated domains and pathway enrichment analysis. Anim Genet 2019; 51:22-31. [PMID: 31808564 DOI: 10.1111/age.12886] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/10/2019] [Indexed: 12/19/2022]
Abstract
The aim of this study was to identify genes associated with chronic subclinical mastitis (SCM) in Norwegian Red (NR) cattle. Twelve SCM traits defined based on fixed threshold for test-day somatic cell count (SCC) were, together with lactation-average somatic cell score (LSCS) used for association and pathway enrichment analyses. A GWAS was performed on 3795 genotyped NR bulls with 777K SNP data and phenotypic information from 7 300 847 test-day SCC observations from 3 543 764 cows. At 5% chromosome-wide significance level 36 unique SNP were detected to be associated with one or more of the traits. These SNPs were analysed for linked genes using genomic positions of topologically associated domains (TAD). For the SCM traits with SCC >50 000 and >100 000 cells/ml on two test-days in a row and LSCS, the same top significant genes were identified - checkpoint clamp loader component (RAD17) and cyclin B1 (CCNB1). The SCM traits with SCC >250 000, 300 000, 350 000 or 400 000 cells/ml on two test-days in a row and D400 (number of days before the first case with SCC >400 000 cells/ml) displayed similar top significant genes: acyl-CoA thioesterase 2 and 4 (ACOT2; ACOT4). For the traits SCM200_3 (SCC >200 000 cells/ml on three test-days in a row) and SCM150, SCM200 (SCC >150 000; 200 000 cells/ml on two test-days in a row) a group of chemokine (C-X-C motif) ligand genes and the Fos proto-oncogene, AP-1 transcription factor subunit (FOS) gene, were identified. Further functional studies of these identified candidate genes are necessary to clarify their actual role in development of chronic SCM in NR cattle.
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Affiliation(s)
- E Kirsanova
- Department of Basic Sciences and Aquatic Medicine, Faculty of Veterinary Medicine, Norwegian University of Life Sciences, Oslo, Norway
| | - B Heringstad
- Department of Animal and Aquacultural Sciences, Faculty of Biosciences, Norwegian University of Life Sciences, Oslo, Norway.,Geno Breeding and A.I. Association, Hamar, Norway
| | - A Lewandowska-Sabat
- Department of Basic Sciences and Aquatic Medicine, Faculty of Veterinary Medicine, Norwegian University of Life Sciences, Oslo, Norway
| | - I Olsaker
- Department of Basic Sciences and Aquatic Medicine, Faculty of Veterinary Medicine, Norwegian University of Life Sciences, Oslo, Norway
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365
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The Long Noncoding RNA Paupar Modulates PAX6 Regulatory Activities to Promote Alpha Cell Development and Function. Cell Metab 2019; 30:1091-1106.e8. [PMID: 31607563 PMCID: PMC7205457 DOI: 10.1016/j.cmet.2019.09.013] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2019] [Revised: 06/05/2019] [Accepted: 09/16/2019] [Indexed: 12/19/2022]
Abstract
Many studies have highlighted the role of dysregulated glucagon secretion in the etiology of hyperglycemia and diabetes. Accordingly, understanding the mechanisms underlying pancreatic islet α cell development and function has important implications for the discovery of new therapies for diabetes. In this study, comparative transcriptome analyses between embryonic mouse pancreas and adult mouse islets identified several pancreatic lncRNAs that lie in close proximity to essential pancreatic transcription factors, including the Pax6-associated lncRNA Paupar. We demonstrate that Paupar is enriched in glucagon-producing α cells where it promotes the alternative splicing of Pax6 to an isoform required for activation of essential α cell genes. Consistently, deletion of Paupar in mice resulted in dysregulation of PAX6 α cell target genes and corresponding α cell dysfunction, including blunted glucagon secretion. These findings illustrate a distinct mechanism by which a pancreatic lncRNA can coordinate glucose homeostasis by cell-specific regulation of a broadly expressed transcription factor.
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366
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Valliyodan B, Cannon SB, Bayer PE, Shu S, Brown AV, Ren L, Jenkins J, Chung CYL, Chan TF, Daum CG, Plott C, Hastie A, Baruch K, Barry KW, Huang W, Patil G, Varshney RK, Hu H, Batley J, Yuan Y, Song Q, Stupar RM, Goodstein DM, Stacey G, Lam HM, Jackson SA, Schmutz J, Grimwood J, Edwards D, Nguyen HT. Construction and comparison of three reference-quality genome assemblies for soybean. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2019; 100:1066-1082. [PMID: 31433882 DOI: 10.1111/tpj.14500] [Citation(s) in RCA: 80] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/27/2018] [Revised: 07/10/2019] [Accepted: 07/17/2019] [Indexed: 05/15/2023]
Abstract
We report reference-quality genome assemblies and annotations for two accessions of soybean (Glycine max) and for one accession of Glycine soja, the closest wild relative of G. max. The G. max assemblies provided are for widely used US cultivars: the northern line Williams 82 (Wm82) and the southern line Lee. The Wm82 assembly improves the prior published assembly, and the Lee and G. soja assemblies are new for these accessions. Comparisons among the three accessions show generally high structural conservation, but nucleotide difference of 1.7 single-nucleotide polymorphisms (snps) per kb between Wm82 and Lee, and 4.7 snps per kb between these lines and G. soja. snp distributions and comparisons with genotypes of the Lee and Wm82 parents highlight patterns of introgression and haplotype structure. Comparisons against the US germplasm collection show placement of the sequenced accessions relative to global soybean diversity. Analysis of a pan-gene collection shows generally high conservation, with variation occurring primarily in genomically clustered gene families. We found approximately 40-42 inversions per chromosome between either Lee or Wm82v4 and G. soja, and approximately 32 inversions per chromosome between Wm82 and Lee. We also investigated five domestication loci. For each locus, we found two different alleles with functional differences between G. soja and the two domesticated accessions. The genome assemblies for multiple cultivated accessions and for the closest wild ancestor of soybean provides a valuable set of resources for identifying causal variants that underlie traits for the domestication and improvement of soybean, serving as a basis for future research and crop improvement efforts for this important crop species.
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Affiliation(s)
- Babu Valliyodan
- Division of Plant Sciences and National Center for Soybean Biotechnology, University of Missouri, Columbia, 65211, MO, USA
- Department of Agriculture and Environmental Sciences, Lincoln University, Jefferson City, 65101, MO, USA
| | - Steven B Cannon
- Corn Insects and Crop Genetics Research Unit, US Department of Agriculture-Agricultural Research Service, Ames, 50011, IA, USA
| | - Philipp E Bayer
- School of Biological Sciences, The University of Western Australia, Crawley, 6009, WA, Australia
| | - Shengqiang Shu
- Department of Energy Joint Genome Institute, Walnut Creek, 94598, CA, USA
| | - Anne V Brown
- Corn Insects and Crop Genetics Research Unit, US Department of Agriculture-Agricultural Research Service, Ames, 50011, IA, USA
| | - Longhui Ren
- Interdepartmental Genetics Program, Iowa State University, Ames, 50011, IA, USA
| | - Jerry Jenkins
- Hudson-Alpha Institute for Biotechnology, Huntsville, 35806, AL, USA
| | - Claire Y-L Chung
- Centre for Soybean Research of the State Key Laboratory of Agrobiotechnology and School of Life Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region, China
| | - Ting-Fung Chan
- Centre for Soybean Research of the State Key Laboratory of Agrobiotechnology and School of Life Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region, China
| | - Christopher G Daum
- Department of Energy Joint Genome Institute, Walnut Creek, 94598, CA, USA
| | - Christopher Plott
- Hudson-Alpha Institute for Biotechnology, Huntsville, 35806, AL, USA
| | | | | | - Kerrie W Barry
- Department of Energy Joint Genome Institute, Walnut Creek, 94598, CA, USA
| | - Wei Huang
- Department of Agronomy, Iowa State University, Ames, 50011, IA, USA
| | - Gunvant Patil
- Division of Plant Sciences and National Center for Soybean Biotechnology, University of Missouri, Columbia, 65211, MO, USA
| | - Rajeev K Varshney
- Center of Excellence in Genomics and Systems Biology, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, 502 324, India
| | - Haifei Hu
- School of Biological Sciences, The University of Western Australia, Crawley, 6009, WA, Australia
| | - Jacqueline Batley
- School of Biological Sciences, The University of Western Australia, Crawley, 6009, WA, Australia
| | - Yuxuan Yuan
- School of Biological Sciences, The University of Western Australia, Crawley, 6009, WA, Australia
| | - Qijian Song
- Soybean Genomics and Improvement Lab, US Department of Agriculture - Agricultural Research Service, Beltsville, 20705, MD, USA
| | - Robert M Stupar
- Department of Agronomy and Plant Genetics, University of Minnesota, St. Paul, 55108, MN, USA
| | - David M Goodstein
- Department of Energy Joint Genome Institute, Walnut Creek, 94598, CA, USA
| | - Gary Stacey
- Division of Plant Sciences and National Center for Soybean Biotechnology, University of Missouri, Columbia, 65211, MO, USA
| | - Hon-Ming Lam
- Centre for Soybean Research of the State Key Laboratory of Agrobiotechnology and School of Life Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong Special Administrative Region, China
| | - Scott A Jackson
- Center for Applied Genetic Technologies, University of Georgia, Athens, 30602, GA, USA
| | - Jeremy Schmutz
- Hudson-Alpha Institute for Biotechnology, Huntsville, 35806, AL, USA
| | - Jane Grimwood
- Hudson-Alpha Institute for Biotechnology, Huntsville, 35806, AL, USA
| | - David Edwards
- School of Biological Sciences, The University of Western Australia, Crawley, 6009, WA, Australia
| | - Henry T Nguyen
- Division of Plant Sciences and National Center for Soybean Biotechnology, University of Missouri, Columbia, 65211, MO, USA
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367
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Batra V, Maheshwarappa A, Dagar K, Kumar S, Soni A, Kumaresan A, Kumar R, Datta TK. Unusual interplay of contrasting selective pressures on β-defensin genes implicated in male fertility of the Buffalo (Bubalus bubalis). BMC Evol Biol 2019; 19:214. [PMID: 31771505 PMCID: PMC6878701 DOI: 10.1186/s12862-019-1535-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2019] [Accepted: 10/22/2019] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND The buffalo, despite its superior milk-producing ability, suffers from reproductive limitations that constrain its lifetime productivity. Male sub-fertility, manifested as low conception rates (CRs), is a major concern in buffaloes. The epididymal sperm surface-binding proteins which participate in the sperm surface remodelling (SSR) events affect the survival and performance of the spermatozoa in the female reproductive tract (FRT). A mutation in an epididymal secreted protein, beta-defensin 126 (DEFB-126/BD-126), a class-A beta-defensin (CA-BD), resulted in decreased CRs in human cohorts across the globe. To better understand the role of CA-BDs in buffalo reproduction, this study aimed to identify the BD genes for characterization of the selection pressure(s) acting on them, and to identify the most abundant CA-BD transcript in the buffalo male reproductive tract (MRT) for predicting its reproductive functional significance. RESULTS Despite the low protein sequence homology with their orthologs, the CA-BDs have maintained the molecular framework and the structural core vital to their biological functions. Their coding-sequences in ruminants revealed evidence of pervasive purifying and episodic diversifying selection pressures. The buffalo CA-BD genes were expressed in the major reproductive and non-reproductive tissues exhibiting spatial variations. The Buffalo BD-129 (BuBD-129) was the most abundant and the longest CA-BD in the distal-MRT segments and was predicted to be heavily O-glycosylated. CONCLUSIONS The maintenance of the structural core, despite the sequence divergence, indicated the conservation of the molecular functions of the CA-BDs. The expression of the buffalo CA-BDs in both the distal-MRT segments and non-reproductive tissues indicate the retention the primordial microbicidal activity, which was also predicted by in silico sequence analyses. However, the observed spatial variations in their expression across the MRT hint at their region-specific roles. Their comparison across mammalian species revealed a pattern in which the various CA-BDs appeared to follow dissimilar evolutionary paths. This pattern appears to maintain only the highly efficacious CA-BD alleles and diversify their functional repertoire in the ruminants. Our preliminary results and analyses indicated that BuBD-129 could be the functional ortholog of the primate DEFB-126. Further studies are warranted to assess its molecular functions to elucidate its role in immunity, reproduction and fertility.
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Affiliation(s)
- Vipul Batra
- Animal Genomics Lab, National Dairy Research Institute, Karnal, 132001, India
| | | | - Komal Dagar
- Animal Genomics Lab, National Dairy Research Institute, Karnal, 132001, India
| | - Sandeep Kumar
- Animal Genomics Lab, National Dairy Research Institute, Karnal, 132001, India
| | - Apoorva Soni
- Animal Genomics Lab, National Dairy Research Institute, Karnal, 132001, India
| | - A Kumaresan
- Theriogenology Lab, SRS of NDRI, Bengaluru, 560030, India
| | - Rakesh Kumar
- Animal Genomics Lab, National Dairy Research Institute, Karnal, 132001, India
| | - T K Datta
- Animal Genomics Lab, National Dairy Research Institute, Karnal, 132001, India.
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368
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Recurrent SMARCB1 Mutations Reveal a Nucleosome Acidic Patch Interaction Site That Potentiates mSWI/SNF Complex Chromatin Remodeling. Cell 2019; 179:1342-1356.e23. [PMID: 31759698 DOI: 10.1016/j.cell.2019.10.044] [Citation(s) in RCA: 78] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2019] [Revised: 09/02/2019] [Accepted: 10/30/2019] [Indexed: 12/21/2022]
Abstract
Mammalian switch/sucrose non-fermentable (mSWI/SNF) complexes are multi-component machines that remodel chromatin architecture. Dissection of the subunit- and domain-specific contributions to complex activities is needed to advance mechanistic understanding. Here, we examine the molecular, structural, and genome-wide regulatory consequences of recurrent, single-residue mutations in the putative coiled-coil C-terminal domain (CTD) of the SMARCB1 (BAF47) subunit, which cause the intellectual disability disorder Coffin-Siris syndrome (CSS), and are recurrently found in cancers. We find that the SMARCB1 CTD contains a basic α helix that binds directly to the nucleosome acidic patch and that all CSS-associated mutations disrupt this binding. Furthermore, these mutations abrogate mSWI/SNF-mediated nucleosome remodeling activity and enhancer DNA accessibility without changes in genome-wide complex localization. Finally, heterozygous CSS-associated SMARCB1 mutations result in dominant gene regulatory and morphologic changes during iPSC-neuronal differentiation. These studies unmask an evolutionarily conserved structural role for the SMARCB1 CTD that is perturbed in human disease.
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369
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Complete Genome Assemblies for Three Variants of the Wolbachia Endosymbiont of Drosophila melanogaster. Microbiol Resour Announc 2019; 8:8/45/e00956-19. [PMID: 31699757 PMCID: PMC6838615 DOI: 10.1128/mra.00956-19] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023] Open
Abstract
Here, we report genome assemblies for three strains of Wolbachia pipientis, assembled from unenriched, unfiltered long-read shotgun sequencing data of geographically distinct strains of Drosophila melanogaster. Our simple methodology can be applied to long-read data sets of other Wolbachia-infected species with limited Wolbachia-host lateral gene transfers to produce complete assemblies for this important model symbiont. Here, we report genome assemblies for three strains of Wolbachia pipientis, assembled from unenriched, unfiltered long-read shotgun sequencing data of geographically distinct strains of Drosophila melanogaster. Our simple methodology can be applied to long-read data sets of other Wolbachia-infected species with limited Wolbachia-host lateral gene transfers to produce complete assemblies for this important model symbiont.
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370
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Böck J, Remmele CW, Dittrich M, Müller T, Kondova I, Persengiev S, Bontrop RE, Ade CP, Kraus TFJ, Giese A, El Hajj N, Schneider E, Haaf T. Cell Type and Species-specific Patterns in Neuronal and Non-neuronal Methylomes of Human and Chimpanzee Cortices. Cereb Cortex 2019; 28:3724-3739. [PMID: 30085031 PMCID: PMC6132288 DOI: 10.1093/cercor/bhy180] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2018] [Accepted: 07/13/2018] [Indexed: 12/04/2022] Open
Abstract
Epigenetic changes have likely contributed to the large size and enhanced cognitive abilities of the human brain which evolved within the last 2 million years after the human–chimpanzee split. Using reduced representation bisulfite sequencing, we have compared the methylomes of neuronal and non-neuronal cells from 3 human and 3 chimpanzee cortices. Differentially methylated regions (DMRs) with genome-wide significance were enriched in specific genomic regions. Intraspecific methylation differences between neuronal and non-neuronal cells were approximately 3 times more abundant than interspecific methylation differences between human and chimpanzee cell types. The vast majority (>90%) of human intraspecific DMRs (including DMRs in retrotransposons) were hypomethylated in neurons, compared with glia. Intraspecific DMRs were enriched in genes associated with different neuropsychiatric disorders. Interspecific DMRs were enriched in genes showing human-specific brain histone modifications. Human–chimpanzee methylation differences were much more frequent in non-neuronal cells (n. DMRs = 666) than in neurons (n. DMRs = 96). More than 95% of interspecific DMRs in glia were hypermethylated in humans. Although without an outgroup we cannot assign whether a change in methylation occurred in the human or chimpanzee lineage, our results are consistent with a wave of methylation affecting several hundred non-neuronal genes during human brain evolution.
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Affiliation(s)
- Julia Böck
- Institute of Human Genetics, Julius Maximilians University Würzburg, Würzburg, Germany
| | - Christian W Remmele
- Department of Bioinformatics, Julius Maximilians University Würzburg, Würzburg Germany
| | - Marcus Dittrich
- Institute of Human Genetics, Julius Maximilians University Würzburg, Würzburg, Germany.,Department of Bioinformatics, Julius Maximilians University Würzburg, Würzburg Germany
| | - Tobias Müller
- Department of Bioinformatics, Julius Maximilians University Würzburg, Würzburg Germany
| | - Ivanela Kondova
- Biomedical Primate Research Center, 2288 GJ Rijswijk, The Netherlands
| | | | - Ronald E Bontrop
- Biomedical Primate Research Center, 2288 GJ Rijswijk, The Netherlands
| | - Carsten P Ade
- Institute of Biochemistry and Molecular Biology, Julius Maximilians University Würzburg, Würzburg, Germany
| | - Theo F J Kraus
- Center for Neuropathology and Prion Research, Ludwig Maximilians University Munich, Munich, Germany
| | - Armin Giese
- Center for Neuropathology and Prion Research, Ludwig Maximilians University Munich, Munich, Germany
| | - Nady El Hajj
- Institute of Human Genetics, Julius Maximilians University Würzburg, Würzburg, Germany
| | - Eberhard Schneider
- Institute of Human Genetics, Julius Maximilians University Würzburg, Würzburg, Germany
| | - Thomas Haaf
- Institute of Human Genetics, Julius Maximilians University Würzburg, Würzburg, Germany
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371
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Ling WL, Ng YL, Wipat A, Lane DP, Gan SKE. The quantification of antibody elements and receptors subunit expression using qPCR: The design of VH, VL, CH, CL, FcR subunits primers for a more holistic view of the immune system. J Immunol Methods 2019; 476:112683. [PMID: 31682797 DOI: 10.1016/j.jim.2019.112683] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2019] [Revised: 08/20/2019] [Accepted: 10/09/2019] [Indexed: 12/18/2022]
Abstract
The expression levels of immunoglobulin elements and their receptors are important markers for health and disease. Within the immunoglobulin locus, the constant regions and the variable region families are associated with certain pathologies, yet a holistic view of the interaction between the expressions of the multiple genes remain to be fully characterized. There is thus an important need to quantify antibody elements, their receptors and the receptor subunits in blood (PBMC cDNA) for both screening and detailed studies of such associations. Leveraging on qPCR, we designed primers for all Vκ1-6, VH1-7, Vλ1-11, nine CH isotypes, Cκ, Cκ, Cλ1 &3, FcεRI α,β, and γ subunits, all three FcγR and their subunits, and FcαR. Validating this on a volunteer PBMC cDNA, we report a qPCR primer set repertoire that can quantify the relative expression of all the above genes to the GAPDH housekeeping gene, with implications and uses in both clinical monitoring and research.
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Affiliation(s)
- Wei-Li Ling
- Bioinformatics Institute, Agency for Science, Technology and Research (A*STAR), Singapore; Newcastle Research and Innovation Institute (NewRIIS), Singapore.
| | - Yuen-Ling Ng
- Newcastle Research and Innovation Institute (NewRIIS), Singapore.
| | - Anil Wipat
- School of Computing, Newcastle University, UK.
| | - David Philip Lane
- p53 Laboratory, Agency for Science, Technology and Research (A*STAR), Singapore.
| | - Samuel Ken-En Gan
- Bioinformatics Institute, Agency for Science, Technology and Research (A*STAR), Singapore; p53 Laboratory, Agency for Science, Technology and Research (A*STAR), Singapore.
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372
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Edge P, Bansal V. Longshot enables accurate variant calling in diploid genomes from single-molecule long read sequencing. Nat Commun 2019; 10:4660. [PMID: 31604920 PMCID: PMC6788989 DOI: 10.1038/s41467-019-12493-y] [Citation(s) in RCA: 139] [Impact Index Per Article: 23.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Accepted: 09/10/2019] [Indexed: 12/30/2022] Open
Abstract
Whole-genome sequencing using sequencing technologies such as Illumina enables the accurate detection of small-scale variants but provides limited information about haplotypes and variants in repetitive regions of the human genome. Single-molecule sequencing (SMS) technologies such as Pacific Biosciences and Oxford Nanopore generate long reads that can potentially address the limitations of short-read sequencing. However, the high error rate of SMS reads makes it challenging to detect small-scale variants in diploid genomes. We introduce a variant calling method, Longshot, which leverages the haplotype information present in SMS reads to accurately detect and phase single-nucleotide variants (SNVs) in diploid genomes. We demonstrate that Longshot achieves very high accuracy for SNV detection using whole-genome Pacific Biosciences data, outperforms existing variant calling methods, and enables variant detection in duplicated regions of the genome that cannot be mapped using short reads. Single-molecule sequencing (SMS) such as Pacific Biosciences and Oxford Nanopore generate long reads with high error rate. Here, the authors develop Longshot, a computational method that detects and phases single nucleotide variants (SNV) in diploid genomes using SMS data.
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Affiliation(s)
- Peter Edge
- Department of Computer Science and Engineering, University of California, San Diego, La Jolla, California, 92093, USA
| | - Vikas Bansal
- Department of Pediatrics, School of Medicine, University of California, San Diego, La Jolla, California, 92093, USA.
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373
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Plotnikova O, Baranova A, Skoblov M. Comprehensive Analysis of Human microRNA-mRNA Interactome. Front Genet 2019; 10:933. [PMID: 31649721 PMCID: PMC6792129 DOI: 10.3389/fgene.2019.00933] [Citation(s) in RCA: 104] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Accepted: 09/05/2019] [Indexed: 01/20/2023] Open
Abstract
MicroRNAs play a key role in the regulation of gene expression. A majority of microRNA–mRNA interactions remain unidentified. Despite extensive research, our ability to predict human microRNA-mRNA interactions using computational algorithms remains limited by a complexity of the models for non-canonical interactions, and an abundance of false-positive results. Here, we present the landscape of human microRNA–mRNA interactions derived from comprehensive analysis of HEK293 and Huh7.5 datasets, along with publicly available microRNA and mRNA expression data. We show that, while only 1–2% of human genes were the most regulated by microRNAs, few cell line–specific RNAs, including EEF1A1 and HSPA1B in HEK293 and AFP, APOB, and MALAT1 genes in Huh7.5, display substantial “sponge-like” properties. We revealed a group of microRNAs that are expressed at a very high level, while interacting with only a few mRNAs, which, indeed, serve as their specific expression regulators. In order to establish reliable microRNA-binding regions, we collected and systematically analyzed the data from 79 CLIP datasets of microRNA-binding sites. We report 46,805 experimentally confirmed mRNA–miRNA duplex regions. Resulting dataset is available at http://score.generesearch.ru/services/mirna/. Our study provides initial insight into the complexity of human microRNA–mRNA interactions.
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Affiliation(s)
- Olga Plotnikova
- Laboratory of Functional Genome Analysis, Moscow Institute of Physics and Technology, Moscow, Russia.,Laboratory of Functional Genomics, Research Centre for Medical Genetics, Moscow, Russia
| | - Ancha Baranova
- Laboratory of Functional Genomics, Research Centre for Medical Genetics, Moscow, Russia.,School of Systems Biology, George Mason University, Fairfax, VA, United States
| | - Mikhail Skoblov
- Laboratory of Functional Genomics, Research Centre for Medical Genetics, Moscow, Russia
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374
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Schwickert TA, Tagoh H, Schindler K, Fischer M, Jaritz M, Busslinger M. Ikaros prevents autoimmunity by controlling anergy and Toll-like receptor signaling in B cells. Nat Immunol 2019; 20:1517-1529. [PMID: 31591571 DOI: 10.1038/s41590-019-0490-2] [Citation(s) in RCA: 55] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2018] [Accepted: 08/06/2019] [Indexed: 12/21/2022]
Abstract
The establishment of a diverse B cell antigen receptor (BCR) repertoire by V(D)J recombination also generates autoreactive B cells. Anergy is one tolerance mechanism; it renders autoreactive B cells insensitive to stimulation by self-antigen, whereas Toll-like receptor (TLR) signaling can reactivate anergic B cells. Here, we describe a critical role of the transcription factor Ikaros in controlling BCR anergy and TLR signaling. Mice with specific deletion of Ikaros in mature B cells developed systemic autoimmunity. Ikaros regulated many anergy-associated genes, including Zfp318, which is implicated in the attenuation of BCR responsiveness by promoting immunoglobulin D expression in anergic B cells. TLR signaling was hyperactive in Ikaros-deficient B cells, which failed to upregulate feedback inhibitors of the MyD88-nuclear factor κB signaling pathway. Systemic inflammation was lost on expression of a non-self-reactive BCR or loss of MyD88 in Ikaros-deficient B cells. Thus, Ikaros acts as a guardian preventing autoimmunity by promoting BCR anergy and restraining TLR signaling.
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Affiliation(s)
- Tanja A Schwickert
- Research Institute of Molecular Pathology, Vienna Biocenter, Vienna, Austria.
| | - Hiromi Tagoh
- Research Institute of Molecular Pathology, Vienna Biocenter, Vienna, Austria.,Ludwig Institute for Cancer Research, University of Oxford, Oxford, UK
| | - Karina Schindler
- Research Institute of Molecular Pathology, Vienna Biocenter, Vienna, Austria
| | - Maria Fischer
- Research Institute of Molecular Pathology, Vienna Biocenter, Vienna, Austria
| | - Markus Jaritz
- Research Institute of Molecular Pathology, Vienna Biocenter, Vienna, Austria
| | - Meinrad Busslinger
- Research Institute of Molecular Pathology, Vienna Biocenter, Vienna, Austria.
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375
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Small non-coding RNA transcriptome of four high-altitude vertebrates and their low-altitude relatives. Sci Data 2019; 6:192. [PMID: 31586122 PMCID: PMC6778140 DOI: 10.1038/s41597-019-0204-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Accepted: 08/16/2019] [Indexed: 12/19/2022] Open
Abstract
Animals that lived at high altitudes have evolved distinctive physiological traits that allow them to tolerate extreme high-altitude environment, including higher hemoglobin concentration, increased oxygen saturation of blood and a high energy metabolism. Although previous investigations performed plenty of comparison between high- and low-altitude mammals at the level of morphology, physiology and genomics, mechanism underlying high-altitude adaptation remains largely unknown. Few studies provided comparative analyses in high-altitude adaptation, such as parallel analysis in multiple species. In this study, we generated high-quality small RNA sequencing data for six tissues (heart, liver, spleen, lung, kidney and muscle) from low- and high-altitude populations of four typical livestock animals, and identified comparable numbers of miRNAs in each species. This dataset will provide valuable information for understanding the molecular mechanism of high-altitude adaptation in vertebrates.
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376
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Rudman SM, Greenblum S, Hughes RC, Rajpurohit S, Kiratli O, Lowder DB, Lemmon SG, Petrov DA, Chaston JM, Schmidt P. Microbiome composition shapes rapid genomic adaptation of Drosophila melanogaster. Proc Natl Acad Sci U S A 2019; 116:20025-20032. [PMID: 31527278 PMCID: PMC6778213 DOI: 10.1073/pnas.1907787116] [Citation(s) in RCA: 80] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Population genomic data has revealed patterns of genetic variation associated with adaptation in many taxa. Yet understanding the adaptive process that drives such patterns is challenging; it requires disentangling the ecological agents of selection, determining the relevant timescales over which evolution occurs, and elucidating the genetic architecture of adaptation. Doing so for the adaptation of hosts to their microbiome is of particular interest with growing recognition of the importance and complexity of host-microbe interactions. Here, we track the pace and genomic architecture of adaptation to an experimental microbiome manipulation in replicate populations of Drosophila melanogaster in field mesocosms. Shifts in microbiome composition altered population dynamics and led to divergence between treatments in allele frequencies, with regions showing strong divergence found on all chromosomes. Moreover, at divergent loci previously associated with adaptation across natural populations, we found that the more common allele in fly populations experimentally enriched for a certain microbial group was also more common in natural populations with high relative abundance of that microbial group. These results suggest that microbiomes may be an agent of selection that shapes the pattern and process of adaptation and, more broadly, that variation in a single ecological factor within a complex environment can drive rapid, polygenic adaptation over short timescales.
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Affiliation(s)
- Seth M Rudman
- Department of Biology, University of Pennsylvania, Philadelphia, PA 19104;
| | | | - Rachel C Hughes
- Department of Plant and Wildlife Sciences, Brigham Young University, Provo, UT 84602
| | - Subhash Rajpurohit
- Department of Biology, University of Pennsylvania, Philadelphia, PA 19104
| | - Ozan Kiratli
- Department of Biology, University of Pennsylvania, Philadelphia, PA 19104
| | - Dallin B Lowder
- Department of Plant and Wildlife Sciences, Brigham Young University, Provo, UT 84602
| | - Skyler G Lemmon
- Department of Plant and Wildlife Sciences, Brigham Young University, Provo, UT 84602
| | - Dmitri A Petrov
- Department of Biology, Stanford University, Stanford, CA 94305
| | - John M Chaston
- Department of Plant and Wildlife Sciences, Brigham Young University, Provo, UT 84602
| | - Paul Schmidt
- Department of Biology, University of Pennsylvania, Philadelphia, PA 19104
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377
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Harmanci A, Harmanci AS, Swaminathan J, Gopalakrishnan V. EpiSAFARI: sensitive detection of valleys in epigenetic signals for enhancing annotations of functional elements. Bioinformatics 2019; 36:1014-1021. [PMID: 31501853 PMCID: PMC7703766 DOI: 10.1093/bioinformatics/btz702] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2019] [Revised: 07/22/2019] [Accepted: 09/05/2019] [Indexed: 01/31/2023] Open
Abstract
MOTIVATION Functional genomics experiments generate genomewide signal profiles that are dense information sources for annotating the regulatory elements. These profiles measure epigenetic activity at the nucleotide resolution and they exhibit distinctive patterns as they fluctuate along the genome. Most notable of these patterns are the valley patterns that are prevalently observed in assays such as ChIP Sequencing and bisulfite sequencing. The genomic positions of valleys pinpoint locations of cis-regulatory elements such as enhancers and insulators. Systematic identification of the valleys provides novel information for delineating the annotation of regulatory elements. Nevertheless, the valleys are not reported by majority of the analysis pipelines. RESULTS We describe EpiSAFARI, a computational method for sensitive detection of valleys from diverse types of epigenetic profiles. EpiSAFARI employs a novel smoothing method for decreasing noise in signal profiles and accounts for technical factors such as sparse signals, mappability and nucleotide content. In performance comparisons, EpiSAFARI performs favorably in terms of accuracy. The histone modification valleys detected by EpiSAFARI exhibit high conservation, transcription factor binding and they are enriched in nascent transcription. In addition, the large clusters of histone valleys are found to be enriched at the promoters of the developmentally associated genes. Differential histone valleys exhibit concordance with differential DNase signal at cell line specific valleys. DNA methylation valleys exhibit elevated conservation and high transcription factor binding. Specifically, we observed enriched binding of transcription factors associated with chromatin structure around methyl-valleys. AVAILABILITY AND IMPLEMENTATION EpiSAFARI is publicly available at https://github.com/harmancilab/EpiSAFARI. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
| | - Akdes Serin Harmanci
- School of Biomedical Informatics, Center for Systems Medicine, University of Texas Health Science Center, Houston, TX 77030, USA
| | | | - Vidya Gopalakrishnan
- Department of Pediatrics, USA,Department of Molecular and Cellular Oncology, USA,Brain Tumor Center, USA,Center for Cancer Epigenetics, University of Texas, M.D. Anderson Cancer Center, Houston, TX 77030, USA,M.D. Anderson UTHealth Graduate School of Biomedical Sciences, Houston, TX 77030, USA
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378
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Attardo GM, Abd-Alla AMM, Acosta-Serrano A, Allen JE, Bateta R, Benoit JB, Bourtzis K, Caers J, Caljon G, Christensen MB, Farrow DW, Friedrich M, Hua-Van A, Jennings EC, Larkin DM, Lawson D, Lehane MJ, Lenis VP, Lowy-Gallego E, Macharia RW, Malacrida AR, Marco HG, Masiga D, Maslen GL, Matetovici I, Meisel RP, Meki I, Michalkova V, Miller WJ, Minx P, Mireji PO, Ometto L, Parker AG, Rio R, Rose C, Rosendale AJ, Rota-Stabelli O, Savini G, Schoofs L, Scolari F, Swain MT, Takáč P, Tomlinson C, Tsiamis G, Van Den Abbeele J, Vigneron A, Wang J, Warren WC, Waterhouse RM, Weirauch MT, Weiss BL, Wilson RK, Zhao X, Aksoy S. Comparative genomic analysis of six Glossina genomes, vectors of African trypanosomes. Genome Biol 2019; 20:187. [PMID: 31477173 PMCID: PMC6721284 DOI: 10.1186/s13059-019-1768-2] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Accepted: 07/22/2019] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Tsetse flies (Glossina sp.) are the vectors of human and animal trypanosomiasis throughout sub-Saharan Africa. Tsetse flies are distinguished from other Diptera by unique adaptations, including lactation and the birthing of live young (obligate viviparity), a vertebrate blood-specific diet by both sexes, and obligate bacterial symbiosis. This work describes the comparative analysis of six Glossina genomes representing three sub-genera: Morsitans (G. morsitans morsitans, G. pallidipes, G. austeni), Palpalis (G. palpalis, G. fuscipes), and Fusca (G. brevipalpis) which represent different habitats, host preferences, and vectorial capacity. RESULTS Genomic analyses validate established evolutionary relationships and sub-genera. Syntenic analysis of Glossina relative to Drosophila melanogaster shows reduced structural conservation across the sex-linked X chromosome. Sex-linked scaffolds show increased rates of female-specific gene expression and lower evolutionary rates relative to autosome associated genes. Tsetse-specific genes are enriched in protease, odorant-binding, and helicase activities. Lactation-associated genes are conserved across all Glossina species while male seminal proteins are rapidly evolving. Olfactory and gustatory genes are reduced across the genus relative to other insects. Vision-associated Rhodopsin genes show conservation of motion detection/tracking functions and variance in the Rhodopsin detecting colors in the blue wavelength ranges. CONCLUSIONS Expanded genomic discoveries reveal the genetics underlying Glossina biology and provide a rich body of knowledge for basic science and disease control. They also provide insight into the evolutionary biology underlying novel adaptations and are relevant to applied aspects of vector control such as trap design and discovery of novel pest and disease control strategies.
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Affiliation(s)
- Geoffrey M Attardo
- Department of Entomology and Nematology, University of California, Davis, Davis, CA, USA.
| | - Adly M M Abd-Alla
- Insect Pest Control Laboratory, Joint FAO/IAEA Division of Nuclear Techniques in Food & Agriculture, Vienna, Vienna, Austria
| | - Alvaro Acosta-Serrano
- Department of Vector Biology, Liverpool School of Tropical Medicine, Merseyside, Liverpool, UK
| | - James E Allen
- VectorBase, European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, Cambridgeshire, UK
| | - Rosemary Bateta
- Department of Biochemistry, Biotechnology Research Institute - Kenya Agricultural and Livestock Research Organization, Kikuyu, Kenya
| | - Joshua B Benoit
- Department of Biological Sciences, University of Cincinnati, Cincinnati, OH, USA
| | - Kostas Bourtzis
- Insect Pest Control Laboratory, Joint FAO/IAEA Division of Nuclear Techniques in Food & Agriculture, Vienna, Vienna, Austria
| | - Jelle Caers
- Department of Biology - Functional Genomics and Proteomics Group, KU Leuven, Leuven, Belgium
| | - Guy Caljon
- Laboratory of Microbiology, Parasitology and Hygiene, University of Antwerp, Antwerp, Belgium
| | - Mikkel B Christensen
- VectorBase, European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, Cambridgeshire, UK
| | - David W Farrow
- Department of Biological Sciences, University of Cincinnati, Cincinnati, OH, USA
| | - Markus Friedrich
- Department of Biological Sciences, Wayne State University, Detroit, MI, USA
| | - Aurélie Hua-Van
- Laboratoire Evolution, Genomes, Comportement, Ecologie, CNRS, IRD, Univ. Paris-Sud, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Emily C Jennings
- Department of Biological Sciences, University of Cincinnati, Cincinnati, OH, USA
| | - Denis M Larkin
- Department of Comparative Biomedical Sciences, Royal Veterinary College, London, UK
| | - Daniel Lawson
- Department of Life Sciences, Imperial College London, London, UK
| | - Michael J Lehane
- Department of Vector Biology, Liverpool School of Tropical Medicine, Merseyside, Liverpool, UK
| | - Vasileios P Lenis
- Schools of Medicine and Dentistry, University of Plymouth, Plymouth, UK
| | - Ernesto Lowy-Gallego
- VectorBase, European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, Cambridgeshire, UK
| | - Rosaline W Macharia
- Molecular Biology and Bioinformatics Unit, International Center for Insect Physiology and Ecology, Nairobi, Kenya.,Centre for Biotechnology and Bioinformatics, University of Nairobi, Nairobi, Kenya
| | - Anna R Malacrida
- Department of Biology and Biotechnology, University of Pavia, Pavia, Italy
| | - Heather G Marco
- Department of Biological Sciences, University of Cape Town, Rondebosch, South Africa
| | - Daniel Masiga
- Molecular Biology and Bioinformatics Unit, International Center for Insect Physiology and Ecology, Nairobi, Kenya
| | - Gareth L Maslen
- VectorBase, European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, Cambridgeshire, UK
| | - Irina Matetovici
- Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | - Richard P Meisel
- Department of Biology and Biochemistry, University of Houston, Houston, TX, USA
| | - Irene Meki
- Insect Pest Control Laboratory, Joint FAO/IAEA Division of Nuclear Techniques in Food & Agriculture, Vienna, Vienna, Austria
| | - Veronika Michalkova
- Department of Biological Sciences, Florida International University, Miami, Florida, USA.,Institute of Zoology, Slovak Academy of Sciences, Bratislava, Slovakia
| | - Wolfgang J Miller
- Department of Cell and Developmental Biology, Medical University of Vienna, Vienna, Austria
| | - Patrick Minx
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - Paul O Mireji
- Department of Biochemistry, Biotechnology Research Institute - Kenya Agricultural and Livestock Research Organization, Kikuyu, Kenya.,Centre for Geographic Medicine Research Coast, Kenya Medical Research Institute, Kilifi, Kenya
| | - Lino Ometto
- Department of Sustainable Ecosystems and Bioresources, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, TN, Italy.,Department of Biology and Biotechnology, University of Pavia, Pavia, Italy
| | - Andrew G Parker
- Insect Pest Control Laboratory, Joint FAO/IAEA Division of Nuclear Techniques in Food & Agriculture, Vienna, Vienna, Austria
| | - Rita Rio
- Department of Biology, West Virginia University, Morgantown, WV, USA
| | - Clair Rose
- Department of Vector Biology, Liverpool School of Tropical Medicine, Merseyside, Liverpool, UK
| | - Andrew J Rosendale
- Department of Biology, Mount St. Joseph University, Cincinnati, OH, USA.,Department of Biological Sciences, University of Cincinnati, Cincinnati, OH, USA
| | - Omar Rota-Stabelli
- Department of Sustainable Ecosystems and Bioresources, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, TN, Italy
| | - Grazia Savini
- Department of Biology and Biotechnology, University of Pavia, Pavia, Italy
| | - Liliane Schoofs
- Department of Biology - Functional Genomics and Proteomics Group, KU Leuven, Leuven, Belgium
| | - Francesca Scolari
- Department of Biology and Biotechnology, University of Pavia, Pavia, Italy
| | - Martin T Swain
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, Ceredigion, UK
| | - Peter Takáč
- Department of Animal Systematics, Ústav zoológie SAV; Scientica, Ltd, Bratislava, Slovakia
| | - Chad Tomlinson
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - George Tsiamis
- Department of Environmental and Natural Resources Management, University of Patras, Agrinio, Etoloakarnania, Greece
| | | | - Aurelien Vigneron
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Jingwen Wang
- School of Life Sciences, Fudan University, Shanghai, China
| | - Wesley C Warren
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA.,Bond Life Sciences Center, University of Missouri, Columbia, MO, USA
| | - Robert M Waterhouse
- Department of Ecology & Evolution, Swiss Institute of Bioinformatics, University of Lausanne, Lausanne, Switzerland
| | - Matthew T Weirauch
- Center for Autoimmune Genomics and Etiology and Divisions of Biomedical Informatics and Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Brian L Weiss
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Richard K Wilson
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - Xin Zhao
- CAS Center for Influenza Research and Early-warning (CASCIRE), Chinese Academy of Sciences, Beijing, China
| | - Serap Aksoy
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
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379
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Attardo GM, Abd-Alla AMM, Acosta-Serrano A, Allen JE, Bateta R, Benoit JB, Bourtzis K, Caers J, Caljon G, Christensen MB, Farrow DW, Friedrich M, Hua-Van A, Jennings EC, Larkin DM, Lawson D, Lehane MJ, Lenis VP, Lowy-Gallego E, Macharia RW, Malacrida AR, Marco HG, Masiga D, Maslen GL, Matetovici I, Meisel RP, Meki I, Michalkova V, Miller WJ, Minx P, Mireji PO, Ometto L, Parker AG, Rio R, Rose C, Rosendale AJ, Rota-Stabelli O, Savini G, Schoofs L, Scolari F, Swain MT, Takáč P, Tomlinson C, Tsiamis G, Van Den Abbeele J, Vigneron A, Wang J, Warren WC, Waterhouse RM, Weirauch MT, Weiss BL, Wilson RK, Zhao X, Aksoy S. Comparative genomic analysis of six Glossina genomes, vectors of African trypanosomes. Genome Biol 2019; 20:187. [PMID: 31477173 DOI: 10.1101/531749] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Accepted: 07/22/2019] [Indexed: 05/24/2023] Open
Abstract
BACKGROUND Tsetse flies (Glossina sp.) are the vectors of human and animal trypanosomiasis throughout sub-Saharan Africa. Tsetse flies are distinguished from other Diptera by unique adaptations, including lactation and the birthing of live young (obligate viviparity), a vertebrate blood-specific diet by both sexes, and obligate bacterial symbiosis. This work describes the comparative analysis of six Glossina genomes representing three sub-genera: Morsitans (G. morsitans morsitans, G. pallidipes, G. austeni), Palpalis (G. palpalis, G. fuscipes), and Fusca (G. brevipalpis) which represent different habitats, host preferences, and vectorial capacity. RESULTS Genomic analyses validate established evolutionary relationships and sub-genera. Syntenic analysis of Glossina relative to Drosophila melanogaster shows reduced structural conservation across the sex-linked X chromosome. Sex-linked scaffolds show increased rates of female-specific gene expression and lower evolutionary rates relative to autosome associated genes. Tsetse-specific genes are enriched in protease, odorant-binding, and helicase activities. Lactation-associated genes are conserved across all Glossina species while male seminal proteins are rapidly evolving. Olfactory and gustatory genes are reduced across the genus relative to other insects. Vision-associated Rhodopsin genes show conservation of motion detection/tracking functions and variance in the Rhodopsin detecting colors in the blue wavelength ranges. CONCLUSIONS Expanded genomic discoveries reveal the genetics underlying Glossina biology and provide a rich body of knowledge for basic science and disease control. They also provide insight into the evolutionary biology underlying novel adaptations and are relevant to applied aspects of vector control such as trap design and discovery of novel pest and disease control strategies.
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Affiliation(s)
- Geoffrey M Attardo
- Department of Entomology and Nematology, University of California, Davis, Davis, CA, USA.
| | - Adly M M Abd-Alla
- Insect Pest Control Laboratory, Joint FAO/IAEA Division of Nuclear Techniques in Food & Agriculture, Vienna, Vienna, Austria
| | - Alvaro Acosta-Serrano
- Department of Vector Biology, Liverpool School of Tropical Medicine, Merseyside, Liverpool, UK
| | - James E Allen
- VectorBase, European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, Cambridgeshire, UK
| | - Rosemary Bateta
- Department of Biochemistry, Biotechnology Research Institute - Kenya Agricultural and Livestock Research Organization, Kikuyu, Kenya
| | - Joshua B Benoit
- Department of Biological Sciences, University of Cincinnati, Cincinnati, OH, USA
| | - Kostas Bourtzis
- Insect Pest Control Laboratory, Joint FAO/IAEA Division of Nuclear Techniques in Food & Agriculture, Vienna, Vienna, Austria
| | - Jelle Caers
- Department of Biology - Functional Genomics and Proteomics Group, KU Leuven, Leuven, Belgium
| | - Guy Caljon
- Laboratory of Microbiology, Parasitology and Hygiene, University of Antwerp, Antwerp, Belgium
| | - Mikkel B Christensen
- VectorBase, European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, Cambridgeshire, UK
| | - David W Farrow
- Department of Biological Sciences, University of Cincinnati, Cincinnati, OH, USA
| | - Markus Friedrich
- Department of Biological Sciences, Wayne State University, Detroit, MI, USA
| | - Aurélie Hua-Van
- Laboratoire Evolution, Genomes, Comportement, Ecologie, CNRS, IRD, Univ. Paris-Sud, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Emily C Jennings
- Department of Biological Sciences, University of Cincinnati, Cincinnati, OH, USA
| | - Denis M Larkin
- Department of Comparative Biomedical Sciences, Royal Veterinary College, London, UK
| | - Daniel Lawson
- Department of Life Sciences, Imperial College London, London, UK
| | - Michael J Lehane
- Department of Vector Biology, Liverpool School of Tropical Medicine, Merseyside, Liverpool, UK
| | - Vasileios P Lenis
- Schools of Medicine and Dentistry, University of Plymouth, Plymouth, UK
| | - Ernesto Lowy-Gallego
- VectorBase, European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, Cambridgeshire, UK
| | - Rosaline W Macharia
- Molecular Biology and Bioinformatics Unit, International Center for Insect Physiology and Ecology, Nairobi, Kenya
- Centre for Biotechnology and Bioinformatics, University of Nairobi, Nairobi, Kenya
| | - Anna R Malacrida
- Department of Biology and Biotechnology, University of Pavia, Pavia, Italy
| | - Heather G Marco
- Department of Biological Sciences, University of Cape Town, Rondebosch, South Africa
| | - Daniel Masiga
- Molecular Biology and Bioinformatics Unit, International Center for Insect Physiology and Ecology, Nairobi, Kenya
| | - Gareth L Maslen
- VectorBase, European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Cambridge, Cambridgeshire, UK
| | - Irina Matetovici
- Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium
| | - Richard P Meisel
- Department of Biology and Biochemistry, University of Houston, Houston, TX, USA
| | - Irene Meki
- Insect Pest Control Laboratory, Joint FAO/IAEA Division of Nuclear Techniques in Food & Agriculture, Vienna, Vienna, Austria
| | - Veronika Michalkova
- Department of Biological Sciences, Florida International University, Miami, Florida, USA
- Institute of Zoology, Slovak Academy of Sciences, Bratislava, Slovakia
| | - Wolfgang J Miller
- Department of Cell and Developmental Biology, Medical University of Vienna, Vienna, Austria
| | - Patrick Minx
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - Paul O Mireji
- Department of Biochemistry, Biotechnology Research Institute - Kenya Agricultural and Livestock Research Organization, Kikuyu, Kenya
- Centre for Geographic Medicine Research Coast, Kenya Medical Research Institute, Kilifi, Kenya
| | - Lino Ometto
- Department of Sustainable Ecosystems and Bioresources, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, TN, Italy
- Department of Biology and Biotechnology, University of Pavia, Pavia, Italy
| | - Andrew G Parker
- Insect Pest Control Laboratory, Joint FAO/IAEA Division of Nuclear Techniques in Food & Agriculture, Vienna, Vienna, Austria
| | - Rita Rio
- Department of Biology, West Virginia University, Morgantown, WV, USA
| | - Clair Rose
- Department of Vector Biology, Liverpool School of Tropical Medicine, Merseyside, Liverpool, UK
| | - Andrew J Rosendale
- Department of Biology, Mount St. Joseph University, Cincinnati, OH, USA
- Department of Biological Sciences, University of Cincinnati, Cincinnati, OH, USA
| | - Omar Rota-Stabelli
- Department of Sustainable Ecosystems and Bioresources, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all'Adige, TN, Italy
| | - Grazia Savini
- Department of Biology and Biotechnology, University of Pavia, Pavia, Italy
| | - Liliane Schoofs
- Department of Biology - Functional Genomics and Proteomics Group, KU Leuven, Leuven, Belgium
| | - Francesca Scolari
- Department of Biology and Biotechnology, University of Pavia, Pavia, Italy
| | - Martin T Swain
- Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, Ceredigion, UK
| | - Peter Takáč
- Department of Animal Systematics, Ústav zoológie SAV; Scientica, Ltd, Bratislava, Slovakia
| | - Chad Tomlinson
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - George Tsiamis
- Department of Environmental and Natural Resources Management, University of Patras, Agrinio, Etoloakarnania, Greece
| | | | - Aurelien Vigneron
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Jingwen Wang
- School of Life Sciences, Fudan University, Shanghai, China
| | - Wesley C Warren
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
- Bond Life Sciences Center, University of Missouri, Columbia, MO, USA
| | - Robert M Waterhouse
- Department of Ecology & Evolution, Swiss Institute of Bioinformatics, University of Lausanne, Lausanne, Switzerland
| | - Matthew T Weirauch
- Center for Autoimmune Genomics and Etiology and Divisions of Biomedical Informatics and Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Brian L Weiss
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Richard K Wilson
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - Xin Zhao
- CAS Center for Influenza Research and Early-warning (CASCIRE), Chinese Academy of Sciences, Beijing, China
| | - Serap Aksoy
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
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380
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Stroehlein AJ, Korhonen PK, Chong TM, Lim YL, Chan KG, Webster B, Rollinson D, Brindley PJ, Gasser RB, Young ND. High-quality Schistosoma haematobium genome achieved by single-molecule and long-range sequencing. Gigascience 2019; 8:giz108. [PMID: 31494670 PMCID: PMC6736295 DOI: 10.1093/gigascience/giz108] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2019] [Revised: 06/25/2019] [Accepted: 08/10/2019] [Indexed: 01/30/2023] Open
Abstract
BACKGROUND Schistosoma haematobium causes urogenital schistosomiasis, a neglected tropical disease affecting >100 million people worldwide. Chronic infection with this parasitic trematode can lead to urogenital conditions including female genital schistosomiasis and bladder cancer. At the molecular level, little is known about this blood fluke and the pathogenesis of the disease that it causes. To support molecular studies of this carcinogenic worm, we reported a draft genome for S. haematobium in 2012. Although a useful resource, its utility has been somewhat limited by its fragmentation. FINDINGS Here, we systematically enhanced the draft genome of S. haematobium using a single-molecule and long-range DNA-sequencing approach. We achieved a major improvement in the accuracy and contiguity of the genome assembly, making it superior or comparable to assemblies for other schistosome species. We transferred curated gene models to this assembly and, using enhanced gene annotation pipelines, inferred a gene set with as many or more complete gene models as those of other well-studied schistosomes. Using conserved, single-copy orthologs, we assessed the phylogenetic position of S. haematobium in relation to other parasitic flatworms for which draft genomes were available. CONCLUSIONS We report a substantially enhanced genomic resource that represents a solid foundation for molecular research on S. haematobium and is poised to better underpin population and functional genomic investigations and to accelerate the search for new disease interventions.
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Affiliation(s)
- Andreas J Stroehlein
- Department of Veterinary Biosciences, Melbourne Veterinary School, Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Corner Flemington Road and Park Drive, Parkville, VIC 3010, Australia
| | - Pasi K Korhonen
- Department of Veterinary Biosciences, Melbourne Veterinary School, Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Corner Flemington Road and Park Drive, Parkville, VIC 3010, Australia
| | - Teik Min Chong
- Institute of Biological Sciences, Faculty of Science, University of Malaya, 50603 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
| | - Yan Lue Lim
- Institute of Biological Sciences, Faculty of Science, University of Malaya, 50603 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
| | - Kok Gan Chan
- Institute of Biological Sciences, Faculty of Science, University of Malaya, 50603 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
| | - Bonnie Webster
- Parasites and Vectors Division, The Natural History Museum, Cromwell Rd, South Kensington, London SW7 5BD, UK
| | - David Rollinson
- Parasites and Vectors Division, The Natural History Museum, Cromwell Rd, South Kensington, London SW7 5BD, UK
| | - Paul J Brindley
- School of Medicine & Health Sciences, Department of Microbiology, Immunology & Tropical Medicine, George Washington University, 2300 Eye Street, NW, Suite 502, Washington, DC 20037, USA
| | - Robin B Gasser
- Department of Veterinary Biosciences, Melbourne Veterinary School, Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Corner Flemington Road and Park Drive, Parkville, VIC 3010, Australia
| | - Neil D Young
- Department of Veterinary Biosciences, Melbourne Veterinary School, Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Corner Flemington Road and Park Drive, Parkville, VIC 3010, Australia
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381
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Kośla K, Płuciennik E, Styczeń-Binkowska E, Nowakowska M, Orzechowska M, Bednarek AK. The WWOX Gene Influences Cellular Pathways in the Neuronal Differentiation of Human Neural Progenitor Cells. Front Cell Neurosci 2019; 13:391. [PMID: 31543760 PMCID: PMC6730490 DOI: 10.3389/fncel.2019.00391] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2019] [Accepted: 08/08/2019] [Indexed: 11/13/2022] Open
Abstract
The brain is the most functionally organized structure of all organs. It manages behavior, perception and higher cognitive functions. The WWOX gene is non-classical tumor suppressor gene, which has been shown to have an impact on proliferation, apoptosis and migration processes. Moreover, genetic aberrations in WWOX induce severe neuropathological phenotypes in humans and rodents. The aim of the present study was to investigate in detail the impact of WWOX on human neural progenitor cell (hNPC) maintenance and how depletion of WWOX disturbs signaling pathways playing a pivotal role in neuronal differentiation and central nervous system (CNS) organogenesis. hNPC with a silenced WWOX gene exhibited lowered mitochondrial redox potential, enhanced adhesion to fibronectin and extracellular matrix protein mixture, downregulation of MMP2/9 expression and impaired 3D growth. Global transcriptome analysis using cap analysis of gene expression (CAGE) found that WWOX downregulation significantly changes the expression of multiple genes engaged in cytoskeleton organization, adhesion, cell signaling and chromatin remodeling. The massive changes in gene expression caused by WWOX silencing may strongly affect the differentiation and migration of neurons in organogenesis, brain injury, cancerogenesis or neurodifferentiation. WWOX gene appears to be an important regulator of neural tissue architecture and function.
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Affiliation(s)
- Katarzyna Kośla
- Department of Molecular Carcinogenesis, Medical University of Łódź, Łódź, Poland
| | - Elżbieta Płuciennik
- Department of Molecular Carcinogenesis, Medical University of Łódź, Łódź, Poland
| | | | - Magdalena Nowakowska
- Department of Molecular Carcinogenesis, Medical University of Łódź, Łódź, Poland
| | | | - Andrzej K Bednarek
- Department of Molecular Carcinogenesis, Medical University of Łódź, Łódź, Poland
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382
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Licht K, Kapoor U, Amman F, Picardi E, Martin D, Bajad P, Jantsch MF. A high resolution A-to-I editing map in the mouse identifies editing events controlled by pre-mRNA splicing. Genome Res 2019; 29:1453-1463. [PMID: 31427386 PMCID: PMC6724681 DOI: 10.1101/gr.242636.118] [Citation(s) in RCA: 84] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2018] [Accepted: 07/25/2019] [Indexed: 11/25/2022]
Abstract
Pre-mRNA-splicing and adenosine to inosine (A-to-I) RNA-editing occur mostly cotranscriptionally. During A-to-I editing, a genomically encoded adenosine is deaminated to inosine by adenosine deaminases acting on RNA (ADARs). Editing-competent stems are frequently formed between exons and introns. Consistently, studies using reporter assays have shown that splicing efficiency can affect editing levels. Here, we use Nascent-seq and identify ∼90,000 novel A-to-I editing events in the mouse brain transcriptome. Most novel sites are located in intronic regions. Unlike previously assumed, we show that both ADAR (ADAR1) and ADARB1 (ADAR2) can edit repeat elements and regular transcripts to the same extent. We find that inhibition of splicing primarily increases editing levels at hundreds of sites, suggesting that reduced splicing efficiency extends the exposure of intronic and exonic sequences to ADAR enzymes. Lack of splicing factors NOVA1 or NOVA2 changes global editing levels, demonstrating that alternative splicing factors can modulate RNA editing. Finally, we show that intron retention rates correlate with editing levels across different brain tissues. We therefore demonstrate that splicing efficiency is a major factor controlling tissue-specific differences in editing levels.
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Affiliation(s)
- Konstantin Licht
- Center for Anatomy and Cell Biology, Medical University of Vienna, A-1090 Vienna, Austria
| | - Utkarsh Kapoor
- Center for Anatomy and Cell Biology, Medical University of Vienna, A-1090 Vienna, Austria
| | - Fabian Amman
- Center for Anatomy and Cell Biology, Medical University of Vienna, A-1090 Vienna, Austria.,Institute of Theoretical Biochemistry, University of Vienna, A-1090 Vienna, Austria
| | - Ernesto Picardi
- Department of Biosciences, Biotechnologies, and Biopharmaceutics, University of Bari, I-70126 Bari, Italy.,Institute of Biomembranes, Bioenergetics and Molecular Biotechnologies, National Research Council, I-70126 Bari, Italy
| | - David Martin
- Center for Anatomy and Cell Biology, Medical University of Vienna, A-1090 Vienna, Austria
| | - Prajakta Bajad
- Center for Anatomy and Cell Biology, Medical University of Vienna, A-1090 Vienna, Austria
| | - Michael F Jantsch
- Center for Anatomy and Cell Biology, Medical University of Vienna, A-1090 Vienna, Austria
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383
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Przanowski P, Mondal SS, Cabaj A, Dębski KJ, Wojtas B, Gielniewski B, Kaza B, Kaminska B, Dabrowski M. Open chromatin landscape of rat microglia upon proinvasive or inflammatory polarization. Glia 2019; 67:2312-2328. [PMID: 31339627 DOI: 10.1002/glia.23686] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Revised: 06/18/2019] [Accepted: 06/21/2019] [Indexed: 01/02/2023]
Abstract
Microglia are brain-resident, myeloid cells that play important roles in health and brain pathologies. Herein, we report a comprehensive, replicated, false discovery rate-controlled dataset of DNase-hypersensitive (DHS) open chromatin regions for rat microglia. We compared the open chromatin landscapes in untreated primary microglial cultures and cultures stimulated for 6 hr with either glioma-conditioned medium (GCM) or lipopolysaccharide (LPS). Glioma-secreted factors induce proinvasive and immunosuppressive activation of microglia, and these cells then promote tumor growth. The open chromatin landscape of the rat microglia consisted of 126,640 reproducible DHS regions, among which 2,303 and 12,357 showed a significant change in openness following stimulation with GCM or LPS, respectively. Active genes exhibited constitutively open promoters, but there was no direct dependence between the aggregated openness of DHS regions near a gene and its expression. Individual regions mapped to the same gene often presented different patterns of openness changes. GCM-regulated DHS regions were more frequent in areas away from gene bodies, while LPS-regulated regions were more frequent in introns. GCM and LPS differentially affected the openness of regions mapped to immune checkpoint genes. The two treatments differentially affected the aggregated openness of regions mapped to genes in the Toll-like receptor signaling and axon guidance pathways, suggesting that the molecular machinery used by migrating microglia is similar to that of growing axons and that modulation of these pathways is instrumental in the induction of proinvasive polarization of microglia by glioma. Our dataset of open chromatin regions paves the way for studies of gene regulation in rat microglia.
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Affiliation(s)
- Piotr Przanowski
- Laboratory of Molecular Neurobiology, Nencki Institute of Experimental Biology of Polish Academy of Sciences, Warsaw, Poland
| | - Shamba S Mondal
- Laboratory of Bioinformatics, Nencki Institute of Experimental Biology of Polish Academy of Sciences, Warsaw, Poland
| | - Aleksandra Cabaj
- Laboratory of Bioinformatics, Nencki Institute of Experimental Biology of Polish Academy of Sciences, Warsaw, Poland
| | - Konrad J Dębski
- Laboratory of Bioinformatics, Nencki Institute of Experimental Biology of Polish Academy of Sciences, Warsaw, Poland
| | - Bartosz Wojtas
- Laboratory of Molecular Neurobiology, Nencki Institute of Experimental Biology of Polish Academy of Sciences, Warsaw, Poland
| | - Bartłomiej Gielniewski
- Laboratory of Molecular Neurobiology, Nencki Institute of Experimental Biology of Polish Academy of Sciences, Warsaw, Poland
| | - Beata Kaza
- Laboratory of Molecular Neurobiology, Nencki Institute of Experimental Biology of Polish Academy of Sciences, Warsaw, Poland
| | - Bozena Kaminska
- Laboratory of Molecular Neurobiology, Nencki Institute of Experimental Biology of Polish Academy of Sciences, Warsaw, Poland
| | - Michal Dabrowski
- Laboratory of Bioinformatics, Nencki Institute of Experimental Biology of Polish Academy of Sciences, Warsaw, Poland
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384
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Liu L, Kim MH, Hyeon C. Heterogeneous Loop Model to Infer 3D Chromosome Structures from Hi-C. Biophys J 2019; 117:613-625. [PMID: 31337548 DOI: 10.1016/j.bpj.2019.06.032] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2019] [Revised: 05/22/2019] [Accepted: 06/25/2019] [Indexed: 10/26/2022] Open
Abstract
Adapting a well-established formalism in polymer physics, we develop a minimalist approach to infer three-dimensional folding of chromatin from Hi-C data. The three-dimensional chromosome structures generated from our heterogeneous loop model (HLM) are used to visualize chromosome organizations that can substantiate the measurements from fluorescence in situ hybridization, chromatin interaction analysis by paired-end tag sequencing, and RNA-seq signals. We demonstrate the utility of the HLM with several case studies. Specifically, the HLM-generated chromosome structures, which reproduce the spatial distribution of topologically associated domains from fluorescence in situ hybridization measurement, show the phase segregation between two types of topologically associated domains explicitly. We discuss the origin of cell-type-dependent gene-expression level by modeling the chromatin globules of α-globin and SOX2 gene loci for two different cell lines. We also use the HLM to discuss how the chromatin folding and gene-expression level of Pax6 loci, associated with mouse neural development, are modulated by interactions with two enhancers. Finally, HLM-generated structures of chromosome 19 of mouse embryonic stem cells, based on single-cell Hi-C data collected over each cell-cycle phase, visualize changes in chromosome conformation along the cell-cycle. Given a contact frequency map between chromatic loci supplied from Hi-C, HLM is a computationally efficient and versatile modeling tool to generate chromosome structures that can complement interpreting other experimental data.
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Affiliation(s)
- Lei Liu
- School of Computational Sciences, Korea Institute for Advanced Study, Seoul, Republic of Korea
| | - Min Hyeok Kim
- School of Computational Sciences, Korea Institute for Advanced Study, Seoul, Republic of Korea
| | - Changbong Hyeon
- School of Computational Sciences, Korea Institute for Advanced Study, Seoul, Republic of Korea.
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385
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Pellenz S, Phelps M, Tang W, Hovde BT, Sinit RB, Fu W, Li H, Chen E, Monnat RJ. New Human Chromosomal Sites with "Safe Harbor" Potential for Targeted Transgene Insertion. Hum Gene Ther 2019; 30:814-828. [PMID: 30793977 PMCID: PMC6648220 DOI: 10.1089/hum.2018.169] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2018] [Accepted: 02/18/2019] [Indexed: 01/31/2023] Open
Abstract
This study identified 35 new sites for targeted transgene insertion that have the potential to serve as new human genomic "safe harbor" sites (SHS). SHS potential for these 35 sites, located on 16 chromosomes, including both arms of the human X chromosome, and for the existing human SHS AAVS1, hROSA26, and CCR5 was assessed using eight different desirable, widely accepted criteria for SHS verifiable with human genomic data. Three representative newly identified sites on human chromosomes 2 and 4 were then experimentally validated by in vitro and in vivo cleavage-sensitivity tests, and analyzed for population-level and cell line-specific sequence variants that might confound site targeting. The highly ranked site on chromosome 4 (SHS231) was further characterized by targeted homology-dependent and -independent transgene insertion and expression in different human cell lines. The structure and fidelity of transgene insertions at this site were confirmed, together with analyses that demonstrated stable expression and function of transgene-encoded proteins, including fluorescent protein markers, selectable marker cassettes, and Cas9 protein variants. SHS-integrated transgene-encoded Cas9 proteins were shown to be capable of introducing a large (17 kb) gRNA-specified deletion in the PAX3/FOXO1 fusion oncogene in human rhabdomyosarcoma cells and as a Cas9-VPR fusion protein to upregulate expression of the muscle-specific transcription factor MYF5 in human rhabdomyosarcoma cells. An engineering "toolkit" was developed to enable easy use of the most extensively characterized of these new human sites, SHS231, located on the proximal long arm of chromosome 4. The target sites identified here have the potential to serve as additional human SHS to enable basic and clinical gene editing and genome-engineering applications.
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Affiliation(s)
- Stefan Pellenz
- Department of Pathology, University of Washington, Seattle, Washington
| | - Michael Phelps
- Department of Pathology, University of Washington, Seattle, Washington
| | - Weiliang Tang
- Department of Pathology, University of Washington, Seattle, Washington
| | - Blake T. Hovde
- Department of Genome Sciences, University of Washington, Seattle, Washington
| | - Ryan B. Sinit
- Department of Pathology, University of Washington, Seattle, Washington
| | - Wenqing Fu
- Department of Genome Sciences, University of Washington, Seattle, Washington
| | - Hui Li
- Department of Pathology, University of Washington, Seattle, Washington
| | - Eleanor Chen
- Department of Pathology, University of Washington, Seattle, Washington
| | - Raymond J. Monnat
- Department of Pathology, University of Washington, Seattle, Washington
- Department of Genome Sciences, University of Washington, Seattle, Washington
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386
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Open chromatin dynamics in prosensory cells of the embryonic mouse cochlea. Sci Rep 2019; 9:9060. [PMID: 31227770 PMCID: PMC6588700 DOI: 10.1038/s41598-019-45515-2] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2019] [Accepted: 06/10/2019] [Indexed: 12/13/2022] Open
Abstract
Hearing loss is often due to the absence or the degeneration of hair cells in the cochlea. Understanding the mechanisms regulating the generation of hair cells may therefore lead to better treatments for hearing disorders. To elucidate the transcriptional control mechanisms specifying the progenitor cells (i.e. prosensory cells) that generate the hair cells and support cells critical for hearing function, we compared chromatin accessibility using ATAC-seq in sorted prosensory cells (Sox2-EGFP+) and surrounding cells (Sox2-EGFP−) from E12, E14.5 and E16 cochlear ducts. In Sox2-EGFP+, we find greater accessibility in and near genes restricted in expression to the prosensory region of the cochlear duct including Sox2, Isl1, Eya1 and Pou4f3. Furthermore, we find significant enrichment for the consensus binding sites of Sox2, Six1 and Gata3—transcription factors required for prosensory development—in the open chromatin regions. Over 2,200 regions displayed differential accessibility with developmental time in Sox2-EGFP+ cells, with most changes in the E12-14.5 window. Open chromatin regions detected in Sox2-EGFP+ cells map to over 48,000 orthologous regions in the human genome that include regions in genes linked to deafness. Our results reveal a dynamic landscape of open chromatin in prosensory cells with potential implications for cochlear development and disease.
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387
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White LC, Fontsere C, Lizano E, Hughes DA, Angedakin S, Arandjelovic M, Granjon AC, Hans JB, Lester JD, Rabanus-Wallace MT, Rowney C, Städele V, Marques-Bonet T, Langergraber KE, Vigilant L. A roadmap for high-throughput sequencing studies of wild animal populations using noninvasive samples and hybridization capture. Mol Ecol Resour 2019; 19:609-622. [PMID: 30637963 DOI: 10.1111/1755-0998.12993] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2018] [Revised: 12/14/2018] [Accepted: 01/08/2019] [Indexed: 11/30/2022]
Abstract
Large-scale genomic studies of wild animal populations are often limited by access to high-quality DNA. Although noninvasive samples, such as faeces, can be readily collected, DNA from the sample producers is usually present in low quantities, fragmented, and contaminated by microorganism and dietary DNAs. Hybridization capture can help to overcome these impediments by increasing the proportion of subject DNA prior to high-throughput sequencing. Here we evaluate a key design variable for hybridization capture, the number of rounds of capture, by testing whether one or two rounds are most appropriate, given varying sample quality (as measured by the ratios of subject to total DNA). We used a set of 1,780 quality-assessed wild chimpanzee (Pan troglodytes schweinfurthii) faecal samples and chose 110 samples of varying quality for exome capture and sequencing. We used multiple regression to assess the effects of the ratio of subject to total DNA (sample quality), rounds of capture and sequencing effort on the number of unique exome reads sequenced. We not only show that one round of capture is preferable when the proportion of subject DNA in a sample is above ~2%-3%, but also explore various types of bias introduced by capture, and develop a model that predicts the sequencing effort necessary for a desired data yield from samples of a given quality. Thus, our results provide a useful guide and pave a methodological way forward for researchers wishing to plan similar hybridization capture studies.
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Affiliation(s)
- Lauren C White
- Department of Primatology, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Claudia Fontsere
- Institut de Biologia Evolutiva (Consejo Superior de Investigaciones Científicas-Universitat Pompeu Fabra), Barcelona Biomedical Research Park, Barcelona, Spain
| | - Esther Lizano
- Institut de Biologia Evolutiva (Consejo Superior de Investigaciones Científicas-Universitat Pompeu Fabra), Barcelona Biomedical Research Park, Barcelona, Spain
| | - David A Hughes
- MRC Integrative Epidemiology Unit at University of Bristol, Bristol, UK.,Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Samuel Angedakin
- Department of Primatology, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Mimi Arandjelovic
- Department of Primatology, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Anne-Céline Granjon
- Department of Primatology, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Jörg B Hans
- Department of Primatology, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Jack D Lester
- Department of Primatology, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | | | - Carolyn Rowney
- Department of Primatology, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Veronika Städele
- Department of Primatology, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Tomas Marques-Bonet
- Institut de Biologia Evolutiva (Consejo Superior de Investigaciones Científicas-Universitat Pompeu Fabra), Barcelona Biomedical Research Park, Barcelona, Spain.,Catalan Institution of Research and Advanced Studies (ICREA), Barcelona, Spain.,CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain.,Institut Català de Paleontologia Miquel Crusafont, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Kevin E Langergraber
- School of Human Evolution and Social Change, Arizona State University, Tempe, Arizona.,Institute of Human Origins, Arizona State University, Tempe, Arizona
| | - Linda Vigilant
- Department of Primatology, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
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388
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Abugessaisa I, Noguchi S, Hasegawa A, Kondo A, Kawaji H, Carninci P, Kasukawa T. refTSS: A Reference Data Set for Human and Mouse Transcription Start Sites. J Mol Biol 2019; 431:2407-2422. [DOI: 10.1016/j.jmb.2019.04.045] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2018] [Revised: 04/25/2019] [Accepted: 04/29/2019] [Indexed: 01/22/2023]
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389
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Chen Z, Omori Y, Koren S, Shirokiya T, Kuroda T, Miyamoto A, Wada H, Fujiyama A, Toyoda A, Zhang S, Wolfsberg TG, Kawakami K, Phillippy AM, Mullikin JC, Burgess SM. De novo assembly of the goldfish ( Carassius auratus) genome and the evolution of genes after whole-genome duplication. SCIENCE ADVANCES 2019; 5:eaav0547. [PMID: 31249862 PMCID: PMC6594761 DOI: 10.1126/sciadv.aav0547] [Citation(s) in RCA: 106] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2018] [Accepted: 05/21/2019] [Indexed: 05/20/2023]
Abstract
For over a thousand years, the common goldfish (Carassius auratus) was raised throughout Asia for food and as an ornamental pet. As a very close relative of the common carp (Cyprinus carpio), goldfish share the recent genome duplication that occurred approximately 14 million years ago in their common ancestor. The combination of centuries of breeding and a wide array of interesting body morphologies provides an exciting opportunity to link genotype to phenotype and to understand the dynamics of genome evolution and speciation. We generated a high-quality draft sequence and gene annotations of a "Wakin" goldfish using 71X PacBio long reads. The two subgenomes in goldfish retained extensive synteny and collinearity between goldfish and zebrafish. However, genes were lost quickly after the carp whole-genome duplication, and the expression of 30% of the retained duplicated gene diverged substantially across seven tissues sampled. Loss of sequence identity and/or exons determined the divergence of the expression levels across all tissues, while loss of conserved noncoding elements determined expression variance between different tissues. This assembly provides an important resource for comparative genomics and understanding the causes of goldfish variants.
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Affiliation(s)
- Zelin Chen
- Translational and Functional Genomics Branch, National Human Genome Research Institute, Bethesda, MD, USA
| | - Yoshihiro Omori
- Laboratory for Molecular and Developmental Biology, Institute for Protein Research, Osaka University, Suita, Osaka, Japan
| | - Sergey Koren
- Computational and Statistical Genomics Branch, National Human Genome Research Institute, Bethesda, MD, USA
| | - Takuya Shirokiya
- Yatomi Station, Aichi Fisheries Research Institute, Yatomi, Aichi, Japan
| | - Takuo Kuroda
- Yatomi Station, Aichi Fisheries Research Institute, Yatomi, Aichi, Japan
| | - Atsushi Miyamoto
- Yatomi Station, Aichi Fisheries Research Institute, Yatomi, Aichi, Japan
| | - Hironori Wada
- Laboratory of Molecular and Developmental Biology, National Institute of Genetics, and Department of Genetics, SOKENDAI (The Graduate University for Advanced Studies), Mishima, Shizuoka, Japan
| | - Asao Fujiyama
- Advanced Genomics Center, National Institute of Genetics, Mishima, Shizuoka, Japan
| | - Atsushi Toyoda
- Advanced Genomics Center, National Institute of Genetics, Mishima, Shizuoka, Japan
- Center for Information Biology, National Institute of Genetics, Mishima, Shizuoka, Japan
| | - Suiyuan Zhang
- Computational and Statistical Genomics Branch, National Human Genome Research Institute, Bethesda, MD, USA
| | - Tyra G. Wolfsberg
- Computational and Statistical Genomics Branch, National Human Genome Research Institute, Bethesda, MD, USA
| | - Koichi Kawakami
- Laboratory of Molecular and Developmental Biology, National Institute of Genetics, and Department of Genetics, SOKENDAI (The Graduate University for Advanced Studies), Mishima, Shizuoka, Japan
| | - Adam M. Phillippy
- Computational and Statistical Genomics Branch, National Human Genome Research Institute, Bethesda, MD, USA
| | | | - James C. Mullikin
- NIH Intramural Sequencing Center, National Human Genome Research Institute, Bethesda, MD, USA
- Cancer Genetics and Comparative Genomics Branch, National Human Genome Research Institute, Bethesda, MD, USA
| | - Shawn M. Burgess
- Translational and Functional Genomics Branch, National Human Genome Research Institute, Bethesda, MD, USA
- Corresponding author.
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390
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The Translational Landscape of the Human Heart. Cell 2019; 178:242-260.e29. [DOI: 10.1016/j.cell.2019.05.010] [Citation(s) in RCA: 272] [Impact Index Per Article: 45.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2018] [Revised: 03/01/2019] [Accepted: 05/06/2019] [Indexed: 12/22/2022]
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391
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Abstract
Nucleotide excision repair is a versatile mechanism to repair a variety of bulky DNA adducts. We developed excision repair sequencing (XR-seq) to study nucleotide excision repair of DNA adducts in humans, mice, Arabidopsis thaliana, yeast and Escherichia coli. In this protocol, the excised oligomers, generated in the nucleotide excision repair reaction, are isolated by cell lysis and fractionation, followed by immunoprecipitation with damage- or repair factor-specific antibodies from the non-chromatin fraction. The single-stranded excised oligomers are ligated to adapters and re-immunoprecipitated with damage-specific antibodies. The DNA damage in the excised oligomers is then reversed by enzymatic or chemical reactions before being converted into a sequencing library by PCR amplification. Alternatively, the excised oligomers containing DNA damage, especially those containing irreversible DNA damage such as benzo[a]pyrene-induced DNA adducts, can be converted to a double-stranded DNA (dsDNA) form by using appropriate translesion DNA synthesis (TLS) polymerases and then can be amplified by PCR. The current genome-wide approaches for studying repair measure the loss of damage signal with time, which limits their resolution. By contrast, an advantage of XR-seq is that the repair signal is directly detected above a background of zero. An XR-seq library using the protocol described here can be obtained in 7-9 d.
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392
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Gòdia M, Estill M, Castelló A, Balasch S, Rodríguez-Gil JE, Krawetz SA, Sánchez A, Clop A. A RNA-Seq Analysis to Describe the Boar Sperm Transcriptome and Its Seasonal Changes. Front Genet 2019; 10:299. [PMID: 31040860 PMCID: PMC6476908 DOI: 10.3389/fgene.2019.00299] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2018] [Accepted: 03/19/2019] [Indexed: 12/31/2022] Open
Abstract
Understanding the molecular basis of cell function and ultimate phenotypes is crucial for the development of biological markers. With this aim, several RNA-seq studies have been devoted to the characterization of the transcriptome of ejaculated spermatozoa in relation to sperm quality and fertility. Semen quality follows a seasonal pattern and decays in the summer months in several animal species. The aim of this study was to deeply profile the transcriptome of the boar sperm and to evaluate its seasonal changes. We sequenced the total and the short fractions of the sperm RNA from 10 Pietrain boars, 5 collected in summer and 5 five sampled in winter, and identified a complex and rich transcriptome with 4,436 coding genes of moderate to high abundance. Transcript fragmentation was high but less obvious in genes related to spermatogenesis, chromatin compaction and fertility. Short non-coding RNAs mostly included piwi-interacting RNAs, transfer RNAs and microRNAs. We also compared the transcriptome of the summer and the winter ejaculates and identified 34 coding genes and 7 microRNAs with a significantly distinct distribution. These genes were mostly related to oxidative stress, DNA damage and autophagy. This is the deepest characterization of the boar sperm transcriptome and the first study linking the transcriptome and the seasonal variability of semen quality in animals. The annotation described here can be used as a reference for the identification of markers of sperm quality in pigs.
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Affiliation(s)
- Marta Gòdia
- Animal Genomics Group, Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Campus UAB, Catalonia, Spain
| | - Molly Estill
- Department of Obstetrics and Gynecology, Wayne State University, Detroit, MI, United States
- C.S. Mott Center for Human Growth and Development, Wayne State University, Detroit, MI, United States
| | - Anna Castelló
- Animal Genomics Group, Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Campus UAB, Catalonia, Spain
- Unit of Animal Science, Department of Animal and Food Science, Autonomous University of Barcelona, Barcelona, Spain
| | | | - Joan E. Rodríguez-Gil
- Unit of Animal Reproduction, Department of Animal Medicine and Surgery, Autonomous University of Barcelona, Barcelona, Spain
| | - Stephen A. Krawetz
- Department of Obstetrics and Gynecology, Wayne State University, Detroit, MI, United States
- C.S. Mott Center for Human Growth and Development, Wayne State University, Detroit, MI, United States
- Center for Molecular Medicine and Genetics, Wayne State University, Detroit, MI, United States
| | - Armand Sánchez
- Animal Genomics Group, Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Campus UAB, Catalonia, Spain
- Unit of Animal Science, Department of Animal and Food Science, Autonomous University of Barcelona, Barcelona, Spain
| | - Alex Clop
- Animal Genomics Group, Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Campus UAB, Catalonia, Spain
- Consejo Superior de Investigaciones Científicas (CSIC), Barcelona, Spain
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393
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Hardwick SA, Bassett SD, Kaczorowski D, Blackburn J, Barton K, Bartonicek N, Carswell SL, Tilgner HU, Loy C, Halliday G, Mercer TR, Smith MA, Mattick JS. Targeted, High-Resolution RNA Sequencing of Non-coding Genomic Regions Associated With Neuropsychiatric Functions. Front Genet 2019; 10:309. [PMID: 31031799 PMCID: PMC6473190 DOI: 10.3389/fgene.2019.00309] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2019] [Accepted: 03/21/2019] [Indexed: 12/18/2022] Open
Abstract
The human brain is one of the last frontiers of biomedical research. Genome-wide association studies (GWAS) have succeeded in identifying thousands of haplotype blocks associated with a range of neuropsychiatric traits, including disorders such as schizophrenia, Alzheimer's and Parkinson's disease. However, the majority of single nucleotide polymorphisms (SNPs) that mark these haplotype blocks fall within non-coding regions of the genome, hindering their functional validation. While some of these GWAS loci may contain cis-acting regulatory DNA elements such as enhancers, we hypothesized that many are also transcribed into non-coding RNAs that are missing from publicly available transcriptome annotations. Here, we use targeted RNA capture ('RNA CaptureSeq') in combination with nanopore long-read cDNA sequencing to transcriptionally profile 1,023 haplotype blocks across the genome containing non-coding GWAS SNPs associated with neuropsychiatric traits, using post-mortem human brain tissue from three neurologically healthy donors. We find that the majority (62%) of targeted haplotype blocks, including 13% of intergenic blocks, are transcribed into novel, multi-exonic RNAs, most of which are not yet recorded in GENCODE annotations. We validated our findings with short-read RNA-seq, providing orthogonal confirmation of novel splice junctions and enabling a quantitative assessment of the long-read assemblies. Many novel transcripts are supported by independent evidence of transcription including cap analysis of gene expression (CAGE) data and epigenetic marks, and some show signs of potential functional roles. We present these transcriptomes as a preliminary atlas of non-coding transcription in human brain that can be used to connect neurological phenotypes with gene expression.
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Affiliation(s)
- Simon A. Hardwick
- Genomics and Epigenetics Division, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
- Faculty of Medicine, University of New South Wales Sydney, Kensington, NSW, Australia
- Brain and Mind Research Institute and Center for Neurogenetics, Weill Cornell Medicine, New York, NY, United States
| | - Samuel D. Bassett
- Genomics and Epigenetics Division, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
- Faculty of Medicine, University of New South Wales Sydney, Kensington, NSW, Australia
| | - Dominik Kaczorowski
- Genomics and Epigenetics Division, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
| | - James Blackburn
- Genomics and Epigenetics Division, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
- Faculty of Medicine, University of New South Wales Sydney, Kensington, NSW, Australia
| | - Kirston Barton
- Genomics and Epigenetics Division, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
| | - Nenad Bartonicek
- Genomics and Epigenetics Division, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
- Faculty of Medicine, University of New South Wales Sydney, Kensington, NSW, Australia
| | - Shaun L. Carswell
- Genomics and Epigenetics Division, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
| | - Hagen U. Tilgner
- Brain and Mind Research Institute and Center for Neurogenetics, Weill Cornell Medicine, New York, NY, United States
| | - Clement Loy
- Genomics and Epigenetics Division, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
- Brain and Mind Centre, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW, Australia
| | - Glenda Halliday
- Brain and Mind Centre, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW, Australia
| | - Tim R. Mercer
- Genomics and Epigenetics Division, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
- Faculty of Medicine, University of New South Wales Sydney, Kensington, NSW, Australia
- Altius Institute for Biomedical Sciences, Seattle, WA, United States
| | - Martin A. Smith
- Genomics and Epigenetics Division, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
- Faculty of Medicine, University of New South Wales Sydney, Kensington, NSW, Australia
| | - John S. Mattick
- Genomics and Epigenetics Division, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
- Faculty of Medicine, University of New South Wales Sydney, Kensington, NSW, Australia
- Green Templeton College, Oxford, United Kingdom
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394
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Wei Q, Ramsey SA, Larson MK, Berlow NE, Ochola D, Shiprack C, Kashyap A, Séguin B, Keller C, Löhr CV. Elucidating the transcriptional program of feline injection-site sarcoma using a cross-species mRNA-sequencing approach. BMC Cancer 2019; 19:311. [PMID: 30947707 PMCID: PMC6449919 DOI: 10.1186/s12885-019-5501-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2018] [Accepted: 03/20/2019] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND Feline injection-site sarcoma (FISS), an aggressive iatrogenic subcutaneous malignancy, is challenging to manage clinically and little is known about the molecular basis of its pathogenesis. Tumor transcriptome profiling has proved valuable for gaining insights into the molecular basis of cancers and for identifying new therapeutic targets. Here, we report the first study of the FISS transcriptome and the first cross-species comparison of the FISS transcriptome with those of anatomically similar soft-tissue sarcomas in dogs and humans. METHODS Using high-throughput short-read paired-end sequencing, we comparatively profiled FISS tumors vs. normal tissue samples as well as cultured FISS-derived cell lines vs. skin-derived fibroblasts. We analyzed the mRNA-seq data to compare cancer/normal gene expression level, identify biological processes and molecular pathways that are associated with the pathogenesis of FISS, and identify multimegabase genomic regions of potential somatic copy number alteration (SCNA) in FISS. We additionally conducted cross-species analyses to compare the transcriptome of FISS to those of soft-tissue sarcomas in dogs and humans, at the level of cancer/normal gene expression ratios. RESULTS We found: (1) substantial differential expression biases in feline orthologs of human oncogenes and tumor suppressor genes suggesting conserved functions in FISS; (2) a genomic region with recurrent SCNA in human sarcomas that is syntenic to a feline genomic region of probable SCNA in FISS; and (3) significant overlap of the pattern of transcriptional alterations in FISS with the patterns of transcriptional alterations in soft-tissue sarcomas in humans and in dogs. We demonstrated that a protein, BarH-like homeobox 1 (BARX1), has increased expression in FISS cells at the protein level. We identified 11 drugs and four target proteins as potential new therapies for FISS, and validated that one of them (GSK-1059615) inhibits growth of FISS-derived cells in vitro. CONCLUSIONS (1) Window-based analysis of mRNA-seq data can uncover SCNAs. (2) The transcriptome of FISS-derived cells is highly consistent with that of FISS tumors. (3) FISS is highly similar to soft-tissue sarcomas in dogs and humans, at the level of gene expression. This work underscores the potential utility of comparative oncology in improving understanding and treatment of FISS.
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Affiliation(s)
- Qi Wei
- Department of Biomedical Sciences, Oregon State University, Corvallis, OR, USA
| | - Stephen A Ramsey
- Department of Biomedical Sciences, Oregon State University, Corvallis, OR, USA.
| | - Maureen K Larson
- Department of Clinical Sciences, Oregon State University, Corvallis, OR, USA
| | - Noah E Berlow
- Children's Cancer Therapy Development Institute, Beaverton, OR, USA
| | - Donasian Ochola
- Flint Animal Cancer Center, Colorado State University, Fort Collins, CO, USA
| | | | - Amita Kashyap
- Department of Biomedical Sciences, Oregon State University, Corvallis, OR, USA
| | - Bernard Séguin
- Flint Animal Cancer Center, Colorado State University, Fort Collins, CO, USA
| | - Charles Keller
- Children's Cancer Therapy Development Institute, Beaverton, OR, USA
| | - Christiane V Löhr
- Department of Biomedical Sciences, Oregon State University, Corvallis, OR, USA.
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395
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Lehrer S, Rheinstein PH. Mouse mammary tumor viral env sequences are not present in the human genome but are present in breast tumors and normal breast tissues. Virus Res 2019; 266:43-47. [PMID: 30951792 DOI: 10.1016/j.virusres.2019.03.011] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2019] [Revised: 03/12/2019] [Accepted: 03/14/2019] [Indexed: 01/28/2023]
Abstract
In 1936, John Joseph Bittner identified mouse mammary tumor virus (MMTV), a milk transmitted beta retrovirus, a form of single-stranded positive-sense RNA virus. A retrovirus inserts a copy of its genome into the DNA of a host cell, thus altering the cell's genome. In the current analysis, we searched for MMTV sequences within the human genome. To compare the MMTV genome to the human genome, we used BLAT, the Blast-Like Alignment Tool of the UCSC Genome Browser. BLAT can align a user sequence of 25 bases or more to the genome. 60 MMTV sequences were in the human genome. Of 56 sequences from the MMTV POL gene, 36 POL sequences were from the same part of the gene, beginning at viral nucleotide 4800 but of different lengths. 8 viral sequences began at nucleotide ∼3430 of the POL gene. Four viral sequences were from GAGdUTPase, encoded by the MMTV PRO gene. Deoxyuridine 5'-triphosphate nucleotidohydrolase (dUTPase) is an enzyme present in several major retroviral families. In MMTV dUTPase may be essential for viral replication. Since BLAT identified no MMTV envelope (env) sequence in the human genome, the env sequences from breast tumors and normal breast tissue found in other studies may have come from an MMTV infection. However, no one is certain how MMTV could enter human cells, since the cells do not have a cellular receptor for MMTV, as do mouse cells.
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Affiliation(s)
- Steven Lehrer
- Department of Radiation Oncolog, Icahn School of Medicine at Mount Sinai, New York, United States.
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396
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Yu B, Yao L, Liu C, Tang L, Xing T. Upregulation of microRNA‑16 alters the response to inhaled β‑agonists in patients with asthma though modulating expression of ADRB2. Mol Med Rep 2019; 19:4027-4034. [PMID: 30942450 PMCID: PMC6471313 DOI: 10.3892/mmr.2019.10097] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2017] [Accepted: 10/15/2018] [Indexed: 01/07/2023] Open
Abstract
MicroRNAs (miRNAs) are non‑coding RNAs of ~22 nucleotides in length, which serve an important role in numerous diseases. Asthma is a chronic airway inflammatory disease, which is the most common chronic disease among children. The role of miRNA (miR)‑16 in asthma is unclear. The objective of the present study was to examine the underlying molecular mechanism of the involvement of miR‑16 in asthma. A total of 72 volunteers diagnosed with asthma consented to participate in the study, of whom 52 participants were identified to be sensitive to salmeterol and 20 participants were identified to be resistant to salmeterol. Receiver operating characteristic (ROC) curve analysis was performed to compare the expression levels of serum miR‑16 between the sensitive and resistant groups, and to confirm the association between the expression level of serum miR‑16 and forced expiratory volume in 1 sec (FEV1). In silico analysis, a luciferase assay, reverse transcription‑quantitative polymerase chain reaction analysis and western blotting were performed to elucidate the molecular mechanism underlying the role of miR‑16 in asthma. ROC results demonstrated that the serum miR‑16 level may function as a biomarker to predict the response to salmeterol therapy, and the miR‑16 expression level displayed a significant negative correlation with FEV1. According to the in silico analysis, adrenoreceptor β‑2 (ADRB2) was a direct target of miR‑16, and it was further confirmed by luciferase assay that 25 nM miR‑16 mimic had an inhibitory effect on the luciferase activity of the wild‑type ADRB2 3' untranslated region (UTR); the inhibitory effect on the luciferase activity of the wild‑type ADRB2 3'UTR was stronger with 50 nM miR‑16 mimic, and strongest with 75 nM miR‑16 mimic, whereas the luciferase activity of the mutant ADRB2 3'UTR in cells was similar following treatment with 0, 25, 50 or 75 nM miR‑16 mimic. miR‑16 reduced the mRNA and protein expression levels of ADRB2 in a dose‑dependent manner. These results identified that miR‑16 may be used as a predictive biomarker of therapeutic response in asthma.
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Affiliation(s)
- Bo Yu
- Department of Respiratory Medicine, Liaocheng People's Hospital, Liaocheng, Shandong 252000, P.R. China
| | - Lusu Yao
- Department of Neurological Intensive Care Unit, Liaocheng People's Hospital, Liaocheng, Shandong 252000, P.R. China
| | - Cuiqiao Liu
- Department of Neurological Intensive Care Unit, Liaocheng People's Hospital, Liaocheng, Shandong 252000, P.R. China
| | - Lina Tang
- Department of Neurological Intensive Care Unit, Liaocheng People's Hospital, Liaocheng, Shandong 252000, P.R. China
| | - Tao Xing
- Department of Neurological Intensive Care Unit, Liaocheng People's Hospital, Liaocheng, Shandong 252000, P.R. China
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397
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Miotto YE, Tessele C, Czermainski ABC, Porto DD, Falavigna VDS, Sartor T, Cattani AM, Delatorre CA, de Alencar SA, da Silva-Junior OB, Togawa RC, Costa MMDC, Pappas GJ, Grynberg P, de Oliveira PRD, Kvitschal MV, Denardi F, Buffon V, Revers LF. Spring Is Coming: Genetic Analyses of the Bud Break Date Locus Reveal Candidate Genes From the Cold Perception Pathway to Dormancy Release in Apple ( Malus × domestica Borkh.). FRONTIERS IN PLANT SCIENCE 2019; 10:33. [PMID: 30930909 PMCID: PMC6423911 DOI: 10.3389/fpls.2019.00033] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/16/2018] [Accepted: 01/10/2019] [Indexed: 05/26/2023]
Abstract
Chilling requirement (CR) for bud dormancy completion determines the time of bud break in apple (Malus × domestica Borkh.). The molecular control of bud dormancy is highly heritable, suggesting a strong genetic control of the trait. An available Infinium II SNP platform for genotyping containing 8,788 single nucleotide polymorphic markers was employed, and linkage maps were constructed in a F1 cross from the low CR M13/91 and the moderate CR cv. Fred Hough. These maps were used to identify quantitative trait loci (QTL) for bud break date as a trait related to dormancy release. A major QTL for bud break was detected at the beginning of linkage group 9 (LG9). This QTL remained stable during seven seasons in two different growing sites. To increase mapping efficiency in detecting contributing genes underlying this QTL, 182 additional SNP markers located at the locus for bud break were used. Combining linkage mapping and structural characterization of the region, the high proportion of the phenotypic variance in the trait explained by the QTL is related to the coincident positioning of Arabidopsis orthologs for ICE1, FLC, and PRE1 protein-coding genes. The proximity of these genes from the most explanatory markers of this QTL for bud break suggests potential genetic additive effects, reinforcing the hypothesis of inter-dependent mechanisms controlling dormancy induction and release in apple trees.
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Affiliation(s)
- Yohanna Evelyn Miotto
- Department of Crop Science, Agronomy School, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Carolina Tessele
- Department of Crop Science, Agronomy School, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
| | | | | | - Vítor da Silveira Falavigna
- Embrapa Uva e Vinho, Bento Gonçalves, Brazil
- Graduate Program in Cell and Molecular Biology, Centro de Biotecnologia, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Tiago Sartor
- Embrapa Uva e Vinho, Bento Gonçalves, Brazil
- Graduate Program in Cell and Molecular Biology, Centro de Biotecnologia, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Amanda Malvessi Cattani
- Embrapa Uva e Vinho, Bento Gonçalves, Brazil
- Graduate Program in Cell and Molecular Biology, Centro de Biotecnologia, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Carla Andrea Delatorre
- Department of Crop Science, Agronomy School, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Sérgio Amorim de Alencar
- Programa de Pós-Graduação em Ciências Genômicas e Biotecnologia, Universidade Católica de Brasília, Brasília, Brazil
| | | | | | | | | | | | | | - Marcus Vinícius Kvitschal
- Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina – Epagri – Estação Experimental de Caçador, Caçador, Brazil
| | - Frederico Denardi
- Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina – Epagri – Estação Experimental de Caçador, Caçador, Brazil
| | | | - Luís Fernando Revers
- Embrapa Uva e Vinho, Bento Gonçalves, Brazil
- Graduate Program in Cell and Molecular Biology, Centro de Biotecnologia, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
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398
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Colonic epithelial cell diversity in health and inflammatory bowel disease. Nature 2019; 567:49-55. [PMID: 30814735 DOI: 10.1038/s41586-019-0992-y] [Citation(s) in RCA: 495] [Impact Index Per Article: 82.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2018] [Accepted: 01/28/2019] [Indexed: 02/07/2023]
Abstract
The colonic epithelium facilitates host-microorganism interactions to control mucosal immunity, coordinate nutrient recycling and form a mucus barrier. Breakdown of the epithelial barrier underpins inflammatory bowel disease (IBD). However, the specific contributions of each epithelial-cell subtype to this process are unknown. Here we profile single colonic epithelial cells from patients with IBD and unaffected controls. We identify previously unknown cellular subtypes, including gradients of progenitor cells, colonocytes and goblet cells within intestinal crypts. At the top of the crypts, we find a previously unknown absorptive cell, expressing the proton channel OTOP2 and the satiety peptide uroguanylin, that senses pH and is dysregulated in inflammation and cancer. In IBD, we observe a positional remodelling of goblet cells that coincides with downregulation of WFDC2-an antiprotease molecule that we find to be expressed by goblet cells and that inhibits bacterial growth. In vivo, WFDC2 preserves the integrity of tight junctions between epithelial cells and prevents invasion by commensal bacteria and mucosal inflammation. We delineate markers and transcriptional states, identify a colonic epithelial cell and uncover fundamental determinants of barrier breakdown in IBD.
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399
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Demeter T, Vaskovicova M, Malik R, Horvat F, Pasulka J, Svobodova E, Flemr M, Svoboda P. Main constraints for RNAi induced by expressed long dsRNA in mouse cells. Life Sci Alliance 2019; 2:2/1/e201800289. [PMID: 30808654 PMCID: PMC6391682 DOI: 10.26508/lsa.201800289] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2018] [Revised: 02/09/2019] [Accepted: 02/11/2019] [Indexed: 12/13/2022] Open
Abstract
A systematic survey of dsRNA expression in mouse fibroblasts and embryonic stem cells shows main constraints for RNAi. RNAi activity depends on the initial Dicer cleavage of dsRNA, having implications for the evolution of mammalian RNAi functions. RNAi is the sequence-specific mRNA degradation guided by siRNAs produced from long dsRNA by RNase Dicer. Proteins executing RNAi are present in mammalian cells but rather sustain the microRNA pathway. Aiming for a systematic analysis of mammalian RNAi, we report here that the main bottleneck for RNAi efficiency is the production of functional siRNAs, which integrates Dicer activity, dsRNA structure, and siRNA targeting efficiency. Unexpectedly, increased expression of Dicer cofactors TARBP2 or PACT reduces RNAi but not microRNA function. Elimination of protein kinase R, a key dsRNA sensor in the interferon response, had minimal positive effects on RNAi activity in fibroblasts. Without high Dicer activity, RNAi can still occur when the initial Dicer cleavage of the substrate yields an efficient siRNA. Efficient mammalian RNAi may use substrates with some features of microRNA precursors, merging both pathways even more than previously suggested. Although optimized endogenous Dicer substrates mimicking miRNA features could evolve for endogenous regulations, the same principles would make antiviral RNAi inefficient as viruses would adapt to avoid efficacy.
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Affiliation(s)
- Tomas Demeter
- Institute of Molecular Genetics, Academy of Sciences of the Czech Republic, Prague, Czech Republic
| | - Michaela Vaskovicova
- Institute of Molecular Genetics, Academy of Sciences of the Czech Republic, Prague, Czech Republic
| | - Radek Malik
- Institute of Molecular Genetics, Academy of Sciences of the Czech Republic, Prague, Czech Republic
| | - Filip Horvat
- Institute of Molecular Genetics, Academy of Sciences of the Czech Republic, Prague, Czech Republic.,Bioinformatics Group, Division of Molecular Biology, Department of Biology, Faculty of Science, University of Zagreb, Zagreb, Croatia
| | - Josef Pasulka
- Institute of Molecular Genetics, Academy of Sciences of the Czech Republic, Prague, Czech Republic
| | - Eliska Svobodova
- Institute of Molecular Genetics, Academy of Sciences of the Czech Republic, Prague, Czech Republic
| | - Matyas Flemr
- Institute of Molecular Genetics, Academy of Sciences of the Czech Republic, Prague, Czech Republic
| | - Petr Svoboda
- Institute of Molecular Genetics, Academy of Sciences of the Czech Republic, Prague, Czech Republic
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S-CAP extends pathogenicity prediction to genetic variants that affect RNA splicing. Nat Genet 2019; 51:755-763. [PMID: 30804562 DOI: 10.1038/s41588-019-0348-4] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2018] [Accepted: 01/10/2019] [Indexed: 01/01/2023]
Abstract
Exome analysis of patients with a likely monogenic disease does not identify a causal variant in over half of cases. Splice-disrupting mutations make up the second largest class of known disease-causing mutations. Each individual (singleton) exome harbors over 500 rare variants of unknown significance (VUS) in the splicing region. The existing relevant pathogenicity prediction tools tackle all non-coding variants as one amorphic class and/or are not calibrated for the high sensitivity required for clinical use. Here we calibrate seven such tools and devise a novel tool called Splicing Clinically Applicable Pathogenicity prediction (S-CAP) that is over twice as powerful as all previous tools, removing 41% of patient VUS at 95% sensitivity. We show that S-CAP does this by using its own features and not via meta-prediction over previous tools, and that splicing pathogenicity prediction is distinct from predicting molecular splicing changes. S-CAP is an important step on the path to deriving non-coding causal diagnoses.
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