Genome BiologyPub Date : 2021-04-06DOI: 10.1186/s13059-021-02307-0
Maria Artesi, Vincent Hahaut, Basiel Cole, Laurens Lambrechts, Fereshteh Ashrafi, Ambroise Marçais, Olivier Hermine, Philip Griebel, Natasa Arsic, Frank van der Meer, Arsène Burny, Dominique Bron, Elettra Bianchi, Philippe Delvenne, Vincent Bours, Carole Charlier, Michel Georges, Linos Vandekerckhove, Anne Van den Broeke, Keith Durkin
{"title":"PCIP-seq: simultaneous sequencing of integrated viral genomes and their insertion sites with long reads.","authors":"Maria Artesi, Vincent Hahaut, Basiel Cole, Laurens Lambrechts, Fereshteh Ashrafi, Ambroise Marçais, Olivier Hermine, Philip Griebel, Natasa Arsic, Frank van der Meer, Arsène Burny, Dominique Bron, Elettra Bianchi, Philippe Delvenne, Vincent Bours, Carole Charlier, Michel Georges, Linos Vandekerckhove, Anne Van den Broeke, Keith Durkin","doi":"10.1186/s13059-021-02307-0","DOIUrl":"10.1186/s13059-021-02307-0","url":null,"abstract":"<p><p>The integration of a viral genome into the host genome has a major impact on the trajectory of the infected cell. Integration location and variation within the associated viral genome can influence both clonal expansion and persistence of infected cells. Methods based on short-read sequencing can identify viral insertion sites, but the sequence of the viral genomes within remains unobserved. We develop PCIP-seq, a method that leverages long reads to identify insertion sites and sequence their associated viral genome. We apply the technique to exogenous retroviruses HTLV-1, BLV, and HIV-1, endogenous retroviruses, and human papillomavirus.</p>","PeriodicalId":48922,"journal":{"name":"Genome Biology","volume":"22 1","pages":"97"},"PeriodicalIF":12.3,"publicationDate":"2021-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s13059-021-02307-0","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"25565205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Genome BiologyPub Date : 2021-03-31DOI: 10.1186/s13059-021-02273-7
Jun Cheng, Muhammed Hasan Çelik, Anshul Kundaje, Julien Gagneur
{"title":"MTSplice predicts effects of genetic variants on tissue-specific splicing.","authors":"Jun Cheng, Muhammed Hasan Çelik, Anshul Kundaje, Julien Gagneur","doi":"10.1186/s13059-021-02273-7","DOIUrl":"10.1186/s13059-021-02273-7","url":null,"abstract":"<p><p>We develop the free and open-source model Multi-tissue Splicing (MTSplice) to predict the effects of genetic variants on splicing of cassette exons in 56 human tissues. MTSplice combines MMSplice, which models constitutive regulatory sequences, with a new neural network that models tissue-specific regulatory sequences. MTSplice outperforms MMSplice on predicting tissue-specific variations associated with genetic variants in most tissues of the GTEx dataset, with largest improvements on brain tissues. Furthermore, MTSplice predicts that autism-associated de novo mutations are enriched for variants affecting splicing specifically in the brain. We foresee that MTSplice will aid interpreting variants associated with tissue-specific disorders.</p>","PeriodicalId":48922,"journal":{"name":"Genome Biology","volume":"22 1","pages":"94"},"PeriodicalIF":12.3,"publicationDate":"2021-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8011109/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"25534806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Genome BiologyPub Date : 2021-03-31DOI: 10.1186/s13059-021-02282-6
Yao-Ting Huang, Po-Yu Liu, Pei-Wen Shih
{"title":"Homopolish: a method for the removal of systematic errors in nanopore sequencing by homologous polishing.","authors":"Yao-Ting Huang, Po-Yu Liu, Pei-Wen Shih","doi":"10.1186/s13059-021-02282-6","DOIUrl":"https://doi.org/10.1186/s13059-021-02282-6","url":null,"abstract":"<p><p>Nanopore sequencing has been widely used for the reconstruction of microbial genomes. Owing to higher error rates, errors on the genome are corrected via neural networks trained by Nanopore reads. However, the systematic errors usually remain uncorrected. This paper designs a model that is trained by homologous sequences for the correction of Nanopore systematic errors. The developed program, Homopolish, outperforms Medaka and HELEN in bacteria, viruses, fungi, and metagenomic datasets. When combined with Medaka/HELEN, the genome quality can exceed Q50 on R9.4 flow cells. We show that Nanopore-only sequencing can produce high-quality microbial genomes sufficient for downstream analysis.</p>","PeriodicalId":48922,"journal":{"name":"Genome Biology","volume":"22 1","pages":"95"},"PeriodicalIF":12.3,"publicationDate":"2021-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s13059-021-02282-6","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"25535183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Genome BiologyPub Date : 2021-03-30DOI: 10.1186/s13059-021-02306-1
Jakob Wirbel, Konrad Zych, Morgan Essex, Nicolai Karcher, Ece Kartal, Guillem Salazar, Peer Bork, Shinichi Sunagawa, Georg Zeller
{"title":"Microbiome meta-analysis and cross-disease comparison enabled by the SIAMCAT machine learning toolbox.","authors":"Jakob Wirbel, Konrad Zych, Morgan Essex, Nicolai Karcher, Ece Kartal, Guillem Salazar, Peer Bork, Shinichi Sunagawa, Georg Zeller","doi":"10.1186/s13059-021-02306-1","DOIUrl":"10.1186/s13059-021-02306-1","url":null,"abstract":"<p><p>The human microbiome is increasingly mined for diagnostic and therapeutic biomarkers using machine learning (ML). However, metagenomics-specific software is scarce, and overoptimistic evaluation and limited cross-study generalization are prevailing issues. To address these, we developed SIAMCAT, a versatile R toolbox for ML-based comparative metagenomics. We demonstrate its capabilities in a meta-analysis of fecal metagenomic studies (10,803 samples). When naively transferred across studies, ML models lost accuracy and disease specificity, which could however be resolved by a novel training set augmentation strategy. This reveals some biomarkers to be disease-specific, with others shared across multiple conditions. SIAMCAT is freely available from siamcat.embl.de .</p>","PeriodicalId":48922,"journal":{"name":"Genome Biology","volume":"22 1","pages":"93"},"PeriodicalIF":12.3,"publicationDate":"2021-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8008609/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"25531630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Genome BiologyPub Date : 2021-03-29DOI: 10.1186/s13059-021-02285-3
Yifan Wang, Taejeong Bae, Jeremy Thorpe, Maxwell A Sherman, Attila G Jones, Sean Cho, Kenneth Daily, Yanmei Dou, Javier Ganz, Alon Galor, Irene Lobon, Reenal Pattni, Chaggai Rosenbluh, Simone Tomasi, Livia Tomasini, Xiaoxu Yang, Bo Zhou, Schahram Akbarian, Laurel L Ball, Sara Bizzotto, Sarah B Emery, Ryan Doan, Liana Fasching, Yeongjun Jang, David Juan, Esther Lizano, Lovelace J Luquette, John B Moldovan, Rujuta Narurkar, Matthew T Oetjens, Rachel E Rodin, Shobana Sekar, Joo Heon Shin, Eduardo Soriano, Richard E Straub, Weichen Zhou, Andrew Chess, Joseph G Gleeson, Tomas Marquès-Bonet, Peter J Park, Mette A Peters, Jonathan Pevsner, Christopher A Walsh, Daniel R Weinberger, Flora M Vaccarino, John V Moran, Alexander E Urban, Jeffrey M Kidd, Ryan E Mills, Alexej Abyzov
{"title":"Comprehensive identification of somatic nucleotide variants in human brain tissue.","authors":"Yifan Wang, Taejeong Bae, Jeremy Thorpe, Maxwell A Sherman, Attila G Jones, Sean Cho, Kenneth Daily, Yanmei Dou, Javier Ganz, Alon Galor, Irene Lobon, Reenal Pattni, Chaggai Rosenbluh, Simone Tomasi, Livia Tomasini, Xiaoxu Yang, Bo Zhou, Schahram Akbarian, Laurel L Ball, Sara Bizzotto, Sarah B Emery, Ryan Doan, Liana Fasching, Yeongjun Jang, David Juan, Esther Lizano, Lovelace J Luquette, John B Moldovan, Rujuta Narurkar, Matthew T Oetjens, Rachel E Rodin, Shobana Sekar, Joo Heon Shin, Eduardo Soriano, Richard E Straub, Weichen Zhou, Andrew Chess, Joseph G Gleeson, Tomas Marquès-Bonet, Peter J Park, Mette A Peters, Jonathan Pevsner, Christopher A Walsh, Daniel R Weinberger, Flora M Vaccarino, John V Moran, Alexander E Urban, Jeffrey M Kidd, Ryan E Mills, Alexej Abyzov","doi":"10.1186/s13059-021-02285-3","DOIUrl":"10.1186/s13059-021-02285-3","url":null,"abstract":"<p><strong>Background: </strong>Post-zygotic mutations incurred during DNA replication, DNA repair, and other cellular processes lead to somatic mosaicism. Somatic mosaicism is an established cause of various diseases, including cancers. However, detecting mosaic variants in DNA from non-cancerous somatic tissues poses significant challenges, particularly if the variants only are present in a small fraction of cells.</p><p><strong>Results: </strong>Here, the Brain Somatic Mosaicism Network conducts a coordinated, multi-institutional study to examine the ability of existing methods to detect simulated somatic single-nucleotide variants (SNVs) in DNA mixing experiments, generate multiple replicates of whole-genome sequencing data from the dorsolateral prefrontal cortex, other brain regions, dura mater, and dural fibroblasts of a single neurotypical individual, devise strategies to discover somatic SNVs, and apply various approaches to validate somatic SNVs. These efforts lead to the identification of 43 bona fide somatic SNVs that range in variant allele fractions from ~ 0.005 to ~ 0.28. Guided by these results, we devise best practices for calling mosaic SNVs from 250× whole-genome sequencing data in the accessible portion of the human genome that achieve 90% specificity and sensitivity. Finally, we demonstrate that analysis of multiple bulk DNA samples from a single individual allows the reconstruction of early developmental cell lineage trees.</p><p><strong>Conclusions: </strong>This study provides a unified set of best practices to detect somatic SNVs in non-cancerous tissues. The data and methods are freely available to the scientific community and should serve as a guide to assess the contributions of somatic SNVs to neuropsychiatric diseases.</p>","PeriodicalId":48922,"journal":{"name":"Genome Biology","volume":"22 1","pages":"92"},"PeriodicalIF":12.3,"publicationDate":"2021-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8006362/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"25539414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Genome BiologyPub Date : 2021-03-29DOI: 10.1186/s13059-021-02317-y
Justin Borevitz
{"title":"Utilizing genomics to understand and respond to global climate change.","authors":"Justin Borevitz","doi":"10.1186/s13059-021-02317-y","DOIUrl":"https://doi.org/10.1186/s13059-021-02317-y","url":null,"abstract":"","PeriodicalId":48922,"journal":{"name":"Genome Biology","volume":"22 1","pages":"91"},"PeriodicalIF":12.3,"publicationDate":"2021-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s13059-021-02317-y","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"25542602","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Genome BiologyPub Date : 2021-03-25DOI: 10.1186/s13059-021-02314-1
Rebecca Davies, Ling Liu, Sheng Taotao, Natasha Tuano, Richa Chaturvedi, Kie Kyon Huang, Catherine Itman, Amit Mandoli, Aditi Qamra, Changyuan Hu, David Powell, Roger J Daly, Patrick Tan, Joseph Rosenbluh
Genome BiologyPub Date : 2021-03-24DOI: 10.1186/s13059-021-02310-5
Roy Rabbie, Doreen Lau, Richard M White, David J Adams
{"title":"Unraveling the cartography of the cancer ecosystem.","authors":"Roy Rabbie, Doreen Lau, Richard M White, David J Adams","doi":"10.1186/s13059-021-02310-5","DOIUrl":"10.1186/s13059-021-02310-5","url":null,"abstract":"","PeriodicalId":48922,"journal":{"name":"Genome Biology","volume":"22 1","pages":"87"},"PeriodicalIF":12.3,"publicationDate":"2021-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7988951/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"25513299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Genome BiologyPub Date : 2021-03-22DOI: 10.1186/s13059-021-02311-4
Xi Gu, Daqi Wang, Zhijiao Xu, Jinghan Wang, Luo Guo, Renjie Chai, Genglin Li, Yilai Shu, Huawei Li
{"title":"Prevention of acquired sensorineural hearing loss in mice by in vivo Htra2 gene editing.","authors":"Xi Gu, Daqi Wang, Zhijiao Xu, Jinghan Wang, Luo Guo, Renjie Chai, Genglin Li, Yilai Shu, Huawei Li","doi":"10.1186/s13059-021-02311-4","DOIUrl":"10.1186/s13059-021-02311-4","url":null,"abstract":"<p><strong>Background: </strong>Aging, noise, infection, and ototoxic drugs are the major causes of human acquired sensorineural hearing loss, but treatment options are limited. CRISPR/Cas9 technology has tremendous potential to become a new therapeutic modality for acquired non-inherited sensorineural hearing loss. Here, we develop CRISPR/Cas9 strategies to prevent aminoglycoside-induced deafness, a common type of acquired non-inherited sensorineural hearing loss, via disrupting the Htra2 gene in the inner ear which is involved in apoptosis but has not been investigated in cochlear hair cell protection.</p><p><strong>Results: </strong>The results indicate that adeno-associated virus (AAV)-mediated delivery of CRISPR/SpCas9 system ameliorates neomycin-induced apoptosis, promotes hair cell survival, and significantly improves hearing function in neomycin-treated mice. The protective effect of the AAV-CRISPR/Cas9 system in vivo is sustained up to 8 weeks after neomycin exposure. For more efficient delivery of the whole CRISPR/Cas9 system, we also explore the AAV-CRISPR/SaCas9 system to prevent neomycin-induced deafness. The in vivo editing efficiency of the SaCas9 system is 1.73% on average. We observed significant improvement in auditory brainstem response thresholds in the injected ears compared with the non-injected ears. At 4 weeks after neomycin exposure, the protective effect of the AAV-CRISPR/SaCas9 system is still obvious, with the improvement in auditory brainstem response threshold up to 50 dB at 8 kHz.</p><p><strong>Conclusions: </strong>These findings demonstrate the safe and effective prevention of aminoglycoside-induced deafness via Htra2 gene editing and support further development of the CRISPR/Cas9 technology in the treatment of non-inherited hearing loss as well as other non-inherited diseases.</p>","PeriodicalId":48922,"journal":{"name":"Genome Biology","volume":"22 1","pages":"86"},"PeriodicalIF":12.3,"publicationDate":"2021-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7983387/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"25505755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Histone lactylation drives oncogenesis by facilitating m<sup>6</sup>A reader protein YTHDF2 expression in ocular melanoma.","authors":"Jie Yu, Peiwei Chai, Minyue Xie, Shengfang Ge, Jing Ruan, Xianqun Fan, Renbing Jia","doi":"10.1186/s13059-021-02308-z","DOIUrl":"https://doi.org/10.1186/s13059-021-02308-z","url":null,"abstract":"<p><strong>Background: </strong>Histone lactylation, a metabolic stress-related histone modification, plays an important role in the regulation of gene expression during M1 macrophage polarization. However, the role of histone lactylation in tumorigenesis remains unclear.</p><p><strong>Results: </strong>Here, we show histone lactylation is elevated in tumors and is associated with poor prognosis of ocular melanoma. Target correction of aberrant histone lactylation triggers therapeutic efficacy both in vitro and in vivo. Mechanistically, histone lactylation contributes to tumorigenesis by facilitating YTHDF2 expression. Moreover, YTHDF2 recognizes the m6A modified PER1 and TP53 mRNAs and promotes their degradation, which accelerates tumorigenesis of ocular melanoma.</p><p><strong>Conclusion: </strong>We reveal the oncogenic role of histone lactylation, thereby providing novel therapeutic targets for ocular melanoma therapy. We also bridge histone modifications with RNA modifications, which provides novel understanding of epigenetic regulation in tumorigenesis.</p>","PeriodicalId":48922,"journal":{"name":"Genome Biology","volume":"22 1","pages":"85"},"PeriodicalIF":12.3,"publicationDate":"2021-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s13059-021-02308-z","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"25484292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}