Xenopus tropicalis Genome Re-Scaffolding and Re-Annotation Reach the Resolution Required for In Vivo ChIA-PET Analysis
Genome-wide functional analyses require high-resolution genome assembly and annotation. We applied ChIA-PET to analyze gene regulatory networks, including 3D chromosome interactions, underlying thyroid hormone (TH) signaling in the frog Xenopus tropicalis. As the available versions of Xenopus tropic...
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Published in | PloS one Vol. 10; no. 9; p. e0137526 |
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Main Authors | , , , , , , , , , , , , |
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Language | English |
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08.09.2015
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Abstract | Genome-wide functional analyses require high-resolution genome assembly and annotation. We applied ChIA-PET to analyze gene regulatory networks, including 3D chromosome interactions, underlying thyroid hormone (TH) signaling in the frog Xenopus tropicalis. As the available versions of Xenopus tropicalis assembly and annotation lacked the resolution required for ChIA-PET we improve the genome assembly version 4.1 and annotations using data derived from the paired end tag (PET) sequencing technologies and approaches (e.g., DNA-PET [gPET], RNA-PET etc.). The large insert (~10 Kb, ~17 Kb) paired end DNA-PET with high throughput NGS sequencing not only significantly improved genome assembly quality, but also strongly reduced genome "fragmentation", reducing total scaffold numbers by ~60%. Next, RNA-PET technology, designed and developed for the detection of full-length transcripts and fusion mRNA in whole transcriptome studies (ENCODE consortia), was applied to capture the 5' and 3' ends of transcripts. These amendments in assembly and annotation were essential prerequisites for the ChIA-PET analysis of TH transcription regulation. Their application revealed complex regulatory configurations of target genes and the structures of the regulatory networks underlying physiological responses. Our work allowed us to improve the quality of Xenopus tropicalis genomic resources, reaching the standard required for ChIA-PET analysis of transcriptional networks. We consider that the workflow proposed offers useful conceptual and methodological guidance and can readily be applied to other non-conventional models that have low-resolution genome data. |
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AbstractList | Genome-wide functional analyses require high-resolution genome assembly and annotation. We applied ChIA-PET to analyze gene regulatory networks, including 3D chromosome interactions, underlying thyroid hormone (TH) signaling in the frog Xenopus tropicalis. As the available versions of Xenopus tropicalis assembly and annotation lacked the resolution required for ChIA-PET we improve the genome assembly version 4.1 and annotations using data derived from the paired end tag (PET) sequencing technologies and approaches (e.g., DNA-PET [gPET], RNA-PET etc.). The large insert (~10 Kb, ~17 Kb) paired end DNA-PET with high throughput NGS sequencing not only significantly improved genome assembly quality, but also strongly reduced genome "fragmentation", reducing total scaffold numbers by ~60%. Next, RNA-PET technology, designed and developed for the detection of full-length transcripts and fusion mRNA in whole transcriptome studies (ENCODE consortia), was applied to capture the 5' and 3' ends of transcripts. These amendments in assembly and annotation were essential prerequisites for the ChIA-PET analysis of TH transcription regulation. Their application revealed complex regulatory configurations of target genes and the structures of the regulatory networks underlying physiological responses. Our work allowed us to improve the quality of Xenopus tropicalis genomic resources, reaching the standard required for ChIA-PET analysis of transcriptional networks. We consider that the workflow proposed offers useful conceptual and methodological guidance and can readily be applied to other non-conventional models that have low-resolution genome data. Genome-wide functional analyses require high-resolution genome assembly and annotation. We applied ChIA-PET to analyze gene regulatory networks, including 3D chromosome interactions, underlying thyroid hormone (TH) signaling in the frog Xenopus tropicalis . As the available versions of Xenopus tropicalis assembly and annotation lacked the resolution required for ChIA-PET we improve the genome assembly version 4.1 and annotations using data derived from the paired end tag (PET) sequencing technologies and approaches (e.g., DNA-PET [gPET], RNA-PET etc.). The large insert (~10Kb, ~17Kb) paired end DNA-PET with high throughput NGS sequencing not only significantly improved genome assembly quality, but also strongly reduced genome “fragmentation”, reducing total scaffold numbers by ~60%. Next, RNA-PET technology, designed and developed for the detection of full-length transcripts and fusion mRNA in whole transcriptome studies (ENCODE consortia), was applied to capture the 5' and 3' ends of transcripts. These amendments in assembly and annotation were essential prerequisites for the ChIA-PET analysis of TH transcription regulation. Their application revealed complex regulatory configurations of target genes and the structures of the regulatory networks underlying physiological responses. Our work allowed us to improve the quality of Xenopus tropicalis genomic resources, reaching the standard required for ChIA-PET analysis of transcriptional networks. We consider that the workflow proposed offers useful conceptual and methodological guidance and can readily be applied to other non-conventional models that have low-resolution genome data. Genome-wide functional analyses require high-resolution genome assembly and annotation. We applied ChIA-PET to analyze gene regulatory networks, including 3D chromosome interactions, underlying thyroid hormone (TH) signaling in the frog Xenopus tropicalis . As the available versions of Xenopus tropicalis assembly and annotation lacked the resolution required for ChIA-PET we improve the genome assembly version 4.1 and annotations using data derived from the paired end tag (PET) sequencing technologies and approaches (e.g., DNA-PET [gPET], RNA-PET etc.). The large insert (~10Kb, ~17Kb) paired end DNA-PET with high throughput NGS sequencing not only significantly improved genome assembly quality, but also strongly reduced genome “fragmentation”, reducing total scaffold numbers by ~60%. Next, RNA-PET technology, designed and developed for the detection of full-length transcripts and fusion mRNA in whole transcriptome studies (ENCODE consortia), was applied to capture the 5' and 3' ends of transcripts. These amendments in assembly and annotation were essential prerequisites for the ChIA-PET analysis of TH transcription regulation. Their application revealed complex regulatory configurations of target genes and the structures of the regulatory networks underlying physiological responses. Our work allowed us to improve the quality of Xenopus tropicalis genomic resources, reaching the standard required for ChIA-PET analysis of transcriptional networks. We consider that the workflow proposed offers useful conceptual and methodological guidance and can readily be applied to other non-conventional models that have low-resolution genome data. Genome-wide functional analyses require high-resolution genome assembly and annotation. We applied ChIA-PET to analyze gene regulatory networks, including 3D chromosome interactions, underlying thyroid hormone (TH) signaling in the frog Xenopus tropicalis. As the available versions of Xenopus tropicalis assembly and annotation lacked the resolution required for ChIA-PET we improve the genome assembly version 4.1 and annotations using data derived from the paired end tag (PET) sequencing technologies and approaches (e.g., DNA-PET [gPET], RNA-PET etc.). The large insert (~10 Kb, ~17 Kb) paired end DNA-PET with high throughput NGS sequencing not only significantly improved genome assembly quality, but also strongly reduced genome "fragmentation", reducing total scaffold numbers by ~60%. Next, RNA-PET technology, designed and developed for the detection of full-length transcripts and fusion mRNA in whole transcriptome studies (ENCODE consortia), was applied to capture the 5' and 3' ends of transcripts. These amendments in assembly and annotation were essential prerequisites for the ChIA-PET analysis of TH transcription regulation. Their application revealed complex regulatory configurations of target genes and the structures of the regulatory networks underlying physiological responses. Our work allowed us to improve the quality of Xenopus tropicalis genomic resources, reaching the standard required for ChIA-PET analysis of transcriptional networks. We consider that the workflow proposed offers useful conceptual and methodological guidance and can readily be applied to other non-conventional models that have low-resolution genome data.Genome-wide functional analyses require high-resolution genome assembly and annotation. We applied ChIA-PET to analyze gene regulatory networks, including 3D chromosome interactions, underlying thyroid hormone (TH) signaling in the frog Xenopus tropicalis. As the available versions of Xenopus tropicalis assembly and annotation lacked the resolution required for ChIA-PET we improve the genome assembly version 4.1 and annotations using data derived from the paired end tag (PET) sequencing technologies and approaches (e.g., DNA-PET [gPET], RNA-PET etc.). The large insert (~10 Kb, ~17 Kb) paired end DNA-PET with high throughput NGS sequencing not only significantly improved genome assembly quality, but also strongly reduced genome "fragmentation", reducing total scaffold numbers by ~60%. Next, RNA-PET technology, designed and developed for the detection of full-length transcripts and fusion mRNA in whole transcriptome studies (ENCODE consortia), was applied to capture the 5' and 3' ends of transcripts. These amendments in assembly and annotation were essential prerequisites for the ChIA-PET analysis of TH transcription regulation. Their application revealed complex regulatory configurations of target genes and the structures of the regulatory networks underlying physiological responses. Our work allowed us to improve the quality of Xenopus tropicalis genomic resources, reaching the standard required for ChIA-PET analysis of transcriptional networks. We consider that the workflow proposed offers useful conceptual and methodological guidance and can readily be applied to other non-conventional models that have low-resolution genome data. |
Audience | Academic |
Author | Mulawadi, Fabianus Liu, Edison T. Grimaldi, Alexis Sung, Wing-Kin Demeneix, Barbara A. Ruan, Yijun Bilesimo, Patrice Alfama, Gladys Ariyaratne, Pramila Ruan, Xiaoan Sachs, Laurent M. Buisine, Nicolas Chen, Jieqi |
AuthorAffiliation | 1 UMR CNRS 7221, Muséum National d'Histoire Naturelle, Paris, France 2 The Jackson Laboratory of Genomic Medicine, Farmington, Connecticut, United States of America 3 Department of Genetics and Developmental Biology, University of Connecticut, Farmington, Connecticut, United States of America 5 Watchfrog S.A.S., Evry, France 4 Genome Institute of Singapore, Singapore, Singapore University of California, Los Angeles, UNITED STATES |
AuthorAffiliation_xml | – name: 1 UMR CNRS 7221, Muséum National d'Histoire Naturelle, Paris, France – name: 5 Watchfrog S.A.S., Evry, France – name: University of California, Los Angeles, UNITED STATES – name: 3 Department of Genetics and Developmental Biology, University of Connecticut, Farmington, Connecticut, United States of America – name: 4 Genome Institute of Singapore, Singapore, Singapore – name: 2 The Jackson Laboratory of Genomic Medicine, Farmington, Connecticut, United States of America |
Author_xml | – sequence: 1 givenname: Nicolas surname: Buisine fullname: Buisine, Nicolas – sequence: 2 givenname: Xiaoan surname: Ruan fullname: Ruan, Xiaoan – sequence: 3 givenname: Patrice surname: Bilesimo fullname: Bilesimo, Patrice – sequence: 4 givenname: Alexis surname: Grimaldi fullname: Grimaldi, Alexis – sequence: 5 givenname: Gladys surname: Alfama fullname: Alfama, Gladys – sequence: 6 givenname: Pramila surname: Ariyaratne fullname: Ariyaratne, Pramila – sequence: 7 givenname: Fabianus surname: Mulawadi fullname: Mulawadi, Fabianus – sequence: 8 givenname: Jieqi surname: Chen fullname: Chen, Jieqi – sequence: 9 givenname: Wing-Kin surname: Sung fullname: Sung, Wing-Kin – sequence: 10 givenname: Edison T. surname: Liu fullname: Liu, Edison T. – sequence: 11 givenname: Barbara A. surname: Demeneix fullname: Demeneix, Barbara A. – sequence: 12 givenname: Yijun surname: Ruan fullname: Ruan, Yijun – sequence: 13 givenname: Laurent M. surname: Sachs fullname: Sachs, Laurent M. |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/26348928$$D View this record in MEDLINE/PubMed |
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CitedBy_id | crossref_primary_10_1101_pdb_prot097725 crossref_primary_10_1101_pdb_prot104620 crossref_primary_10_1101_pdb_top097667 crossref_primary_10_1002_dvg_23000 crossref_primary_10_1038_s41598_017_06679_x crossref_primary_10_1016_j_ydbio_2020_03_013 crossref_primary_10_1016_j_isci_2020_100899 crossref_primary_10_3389_fendo_2019_00276 crossref_primary_10_3389_fendo_2019_00287 crossref_primary_10_1038_s41467_017_01316_7 crossref_primary_10_3390_cells10092375 crossref_primary_10_1210_en_2016_1465 crossref_primary_10_3389_fendo_2019_00194 crossref_primary_10_3389_fendo_2016_00058 crossref_primary_10_1002_dvg_22997 |
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Copyright | COPYRIGHT 2015 Public Library of Science 2015 Buisine et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2015 Buisine et al 2015 Buisine et al |
Copyright_xml | – notice: COPYRIGHT 2015 Public Library of Science – notice: 2015 Buisine et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. – notice: 2015 Buisine et al 2015 Buisine et al |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Conceived and designed the experiments: LMS NB YR ETL BAD. Performed the experiments: NB XR PB GA LMS. Analyzed the data: NB AG PA FM JC WKS LMS. Contributed reagents/materials/analysis tools: PA. Wrote the paper: NB XR BAD YR LMS. Competing Interests: Watchfrog S.A.S. provided support in form of salaries for author (P.B.). This does not alter the authors' adherence to PLOS ONE policies on sharing data and materials. |
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SubjectTerms | Analysis Animals Annotations Assembly Binding sites Bioinformatics Chromatin - genetics Consortia Data processing Deoxyribonucleic acid Developmental biology DNA DNA methylation DNA sequencing Gene expression Gene Expression Regulation Gene regulation Gene Regulatory Networks - genetics Gene sequencing Genes Genetic aspects Genetics Genome Genomes Genomics Humans Identification Laboratories Methods Molecular Sequence Annotation Networks Physiological aspects Physiological responses Respiration Ribonucleic acid RNA RNA - genetics RNA polymerase RNA, Messenger - genetics Scaffolding Sequence Analysis, DNA Thyroid Thyroid Hormones - genetics Transcription Transcription factors Transcriptome - genetics Workflow Xenopus Xenopus - genetics |
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Title | Xenopus tropicalis Genome Re-Scaffolding and Re-Annotation Reach the Resolution Required for In Vivo ChIA-PET Analysis |
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