44 Works

Data from: Environmental DNA analysis as a non-invasive quantitative tool for reproductive migration of a threatened endemic fish in rivers

Atsushi Maruyama, Kousuke Sugatani, Kazuki Watanabe, Hiroki Yamanaka & Akio Imamura
Quantitative information regarding reproduction is essential for conserving endangered animals; however, some conventional quantitative methods can be damaging to the target population and their habitats. In the present study, the reproductive migration of a threatened endemic fish, three-lips (Opsariichthys uncirostris uncirostris), was non-invasively monitored by quantitative PCR of species-specific environmental DNA (eDNA), the usefulness of which has been under-studied. Water sampling and from-shore visual inspection were performed weekly along a tributary of Lake Biwa (Japan),...

Genetic basis for the evolution of pelvic-fin brooding, a new mode of reproduction, in a Sulawesian fish

Javier Montenegro, Shingo Fujimoto, Satoshi Ansai, Atsushi Nagano, Masahiro Sato, Yusuke Maeda, Rieko Fujitani, Kawilarang Masengi, Ryosuke Kimura, Jun Kitano & Kazunori Yamahira
Modes of reproduction in animals are diverse, with different modes having evolved independently in multiple lineages across a variety of taxa. However, an understanding of the genomic change driving the transition between different modes of reproduction is limited. Several ricefishes (Adrianichthyidae) on the island of Sulawesi have a unique mode of reproduction called “pelvic-fin brooding,” wherein females carry externally fertilized eggs until hatching using their pelvic fins. Phylogenomic analysis demonstrated pelvic-fin brooders to have evolved...

Use of the duplication range concept for understanding morphology and predicting prognosis in thumb polydactyly

Susumu Saito, Aiko Makino, Hiroki Yamanaka, Itaru Tsuge & Naoki Morimoto
This study systematically and comprehensively analysed 129 thumb polydactylies in 122 patients using a duplicating range concept based on the level of skin and skeletal bifurcation. Numerical levels were defined along the longitudinal axis of the ulnar thumb duplicate from distal to proximal: level 0 (thumb tip) to level 6 (carpometacarpal joint). The relationships between duplication range and morphological parameters were evaluated. Nail asymmetry was associated with skin bifurcation levels 0 to 2. Proximal phalangeal...

sj-jpg-1-jhs-10.1177_17531934221126864 - Supplemental material for Use of the duplication range concept for understanding morphology and predicting prognosis in thumb polydactyly

Susumu Saito, Aiko Makino, Hiroki Yamanaka, Itaru Tsuge & Naoki Morimoto
Supplemental material, sj-jpg-1-jhs-10.1177_17531934221126864 for Use of the duplication range concept for understanding morphology and predicting prognosis in thumb polydactyly by Susumu Saito, Aiko Makino, Hiroki Yamanaka, Itaru Tsuge and Naoki Morimoto in Journal of Hand Surgery (European Volume)

Combined burden and functional impact tests for cancer driver discovery using DriverPower

Shimin Shuai, Federico Abascal, Samirkumar B Amin, Gary D Bader, Pratiti Bandopadhayay, Jonathan Barenboim, Rameen Beroukhim, Johanna Bertl, Keith A Boroevich, Søren Brunak, Peter J Campbell, Joana Carlevaro-Fita, Dimple Chakravarty, Calvin Wing Yiu Chan, Ken Chen, Jung Kyoon Choi, Jordi Deu-Pons, Priyanka Dhingra, Klev Diamanti, Lars Feuerbach, J Lynn Fink, Nuno A Fonseca, Joan Frigola, Carlo Gambacorti-Passerini, Dale W Garsed … & L van’t Veer
The discovery of driver mutations is one of the key motivations for cancer genome sequencing. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2658 cancers across 38 tumour types, we describe DriverPower, a software package that uses mutational burden and functional impact evidence to identify driver mutations in coding and non-coding sites within cancer whole genomes. Using a total of 1373 genomic features...

Integrative pathway enrichment analysis of multivariate omics data

Marta Paczkowska, Jonathan Barenboim, Nardnisa Sintupisut, Natalie S Fox, Helen Zhu, Diala Abd-Rabbo, Miles W Mee, Paul C Boutros, Federico Abascal, Samirkumar B Amin, Gary D Bader, Rameen Beroukhim, Johanna Bertl, Keith A Boroevich, Søren Brunak, Peter J Campbell, Joana Carlevaro-Fita, Dimple Chakravarty, Calvin Wing Yiu Chan, Ken Chen, Jung Kyoon Choi, Jordi Deu-Pons, Priyanka Dhingra, Klev Diamanti, Lars Feuerbach … & L van’t Veer
Multi-omics datasets represent distinct aspects of the central dogma of molecular biology. Such high-dimensional molecular profiles pose challenges to data interpretation and hypothesis generation. ActivePathways is an integrative method that discovers significantly enriched pathways across multiple datasets using statistical data fusion, rationalizes contributing evidence and highlights associated genes. As part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2658 cancers across 38 tumor types, we integrated...

Pathway and network analysis of more than 2500 whole cancer genomes

Matthew A Reyna, David Haan, Marta Paczkowska, Lieven PC Verbeke, Miguel Vazquez, Abdullah Kahraman, Sergio Pulido-Tamayo, Jonathan Barenboim, Lina Wadi, Priyanka Dhingra, Raunak Shrestha, Gad Getz, Michael S Lawrence, Jakob Skou Pedersen, Mark A Rubin, David A Wheeler, Søren Brunak, Jose MG Izarzugaza, Ekta Khurana, Kathleen Marchal, Christian von Mering, S Cenk Sahinalp, Alfonso Valencia, Federico Abascal, Samirkumar B Amin … & L van’t Veer
The catalog of cancer driver mutations in protein-coding genes has greatly expanded in the past decade. However, non-coding cancer driver mutations are less well-characterized and only a handful of recurrent non-coding mutations, most notably TERT promoter mutations, have been reported. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2658 cancer across 38 tumor types, we perform multi-faceted pathway and network analyses of non-coding...

Pathway and network analysis of more than 2500 whole cancer genomes

Matthew A Reyna, David Haan, Marta Paczkowska, Lieven PC Verbeke, Miguel Vazquez, Abdullah Kahraman, Sergio Pulido-Tamayo, Jonathan Barenboim, Lina Wadi, Priyanka Dhingra, Raunak Shrestha, Gad Getz, Michael S Lawrence, Jakob Skou Pedersen, Mark A Rubin, David A Wheeler, Søren Brunak, Jose MG Izarzugaza, Ekta Khurana, Kathleen Marchal, Christian von Mering, S Cenk Sahinalp, Alfonso Valencia, Federico Abascal, Samirkumar B Amin … & L van’t Veer
The catalog of cancer driver mutations in protein-coding genes has greatly expanded in the past decade. However, non-coding cancer driver mutations are less well-characterized and only a handful of recurrent non-coding mutations, most notably TERT promoter mutations, have been reported. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2658 cancer across 38 tumor types, we perform multi-faceted pathway and network analyses of non-coding...

Data from: The evolution of between-species reproductive interference capability under different within-species mating regimes

Daisuke Kyogoku & Teiji Sota
Sexual selection sometimes favors male traits that benefit their bearers, but harm their mates. The harmful effects of male traits may also extend to females of other species via heterospecific mating interactions. This could affect the coexistence of closely related species during secondary contact. We examined the evolution of the interspecific interfering capability of a beetle (Callosobruchus chinensis) with a congener (C. maculatus) using C. chinensis males reared under conditions of monogamy and polygamy for...

Phylogeographic and demographic modelling analyses of the multiple origins of the rheophytic goldenrod Solidago yokusaiana

Ryuuta Kyan, Takuma Kimura, Tadashi Yamashiro, Shinji Fujii, Shota Sakaguchi, Motomi Ito, Atsushi Nagano, Hiroshi Kudoh & Masayuki Maki
Understanding adaptation mechanisms is important in evolutionary biology. Parallel adaptation provides good opportunities to investigate adaptive evolution. To confirm parallel adaptation, it is effective to examine whether the phenotypic similarity has one or multiple origins and to use demographic modelling to consider the gene flow between ecotypes. Solidago yokusaiana is a rheophyte endemic to the Japanese Archipelago that diverged from Solidago virgaurea. This study examined the parallel origins of S. yokusaiana by distinguishing between multiple...

Resource partitioning is not coupled with assortative mating in sympatrically divergent ricefish in a Wallacean ancient lake

Ryo Kakioka, Nobu Sutra, Hirozumi Kobayashi, Satoshi Ansai, Kawilarang Masengi, Atsushi Nagano, Noboru Okuda, Rieko Tanaka, Masahiro Sato & Kazunori Yamahira
Sympatric speciation is considered to be difficult without the coupling between ecological traits that allow resource partitioning and reproductive traits that allow assortative mating. Such “magic traits” are known to be involved in most of the compelling examples of sympatric speciation. In this study, we report a possible case of sympatric speciation without magic traits. Three species of ricefish (genus Oryzias) are suggested to have diverged sympatrically within Lake Poso, an ancient lake in Sulawesi....

Data from: Drastic shift in flowering phenology of F1 hybrids explains the population structure of Imperata cylindrica in Japan

Yasuyuki Nomura, Yoshiko Shimono, Nobuyuki Mizuno, Ikuya Miyoshi, Satoshi Iwakami, Kazuhiro Sato & Tohru Tominaga
Hybridization is a major source of phenotypic variation and a driving force for evolution. On the other hand, these novel traits can often disrupt adaptive relationships between the parental phenotypes and their environments. However, it remains unclear how new hybrid traits disrupt local adaptation. Here, we report how a new phenotype of hybrids between two ecotypes of Imperata cylindrica contributes to rapid reproductive isolation from their parents and affects hybrid fitness. We analyzed 350 accessions...

sj-jpg-1-jhs-10.1177_17531934221126864 - Supplemental material for Use of the duplication range concept for understanding morphology and predicting prognosis in thumb polydactyly

Susumu Saito, Aiko Makino, Hiroki Yamanaka, Itaru Tsuge & Naoki Morimoto
Supplemental material, sj-jpg-1-jhs-10.1177_17531934221126864 for Use of the duplication range concept for understanding morphology and predicting prognosis in thumb polydactyly by Susumu Saito, Aiko Makino, Hiroki Yamanaka, Itaru Tsuge and Naoki Morimoto in Journal of Hand Surgery (European Volume)

sj-jpg-4-jhs-10.1177_17531934221126864 - Supplemental material for Use of the duplication range concept for understanding morphology and predicting prognosis in thumb polydactyly

Susumu Saito, Aiko Makino, Hiroki Yamanaka, Itaru Tsuge & Naoki Morimoto
Supplemental material, sj-jpg-4-jhs-10.1177_17531934221126864 for Use of the duplication range concept for understanding morphology and predicting prognosis in thumb polydactyly by Susumu Saito, Aiko Makino, Hiroki Yamanaka, Itaru Tsuge and Naoki Morimoto in Journal of Hand Surgery (European Volume)

Use of the duplication range concept for understanding morphology and predicting prognosis in thumb polydactyly

Susumu Saito, Aiko Makino, Hiroki Yamanaka, Itaru Tsuge & Naoki Morimoto
This study systematically and comprehensively analysed 129 thumb polydactylies in 122 patients using a duplicating range concept based on the level of skin and skeletal bifurcation. Numerical levels were defined along the longitudinal axis of the ulnar thumb duplicate from distal to proximal: level 0 (thumb tip) to level 6 (carpometacarpal joint). The relationships between duplication range and morphological parameters were evaluated. Nail asymmetry was associated with skin bifurcation levels 0 to 2. Proximal phalangeal...

Divergent mutational processes distinguish hypoxic and normoxic tumours

Vinayak Bhandari, Constance H Li, Robert G Bristow, Paul C Boutros, Lauri A Aaltonen, Federico Abascal, Adam Abeshouse, Hiroyuki Aburatani, David J Adams, Nishant Agrawal, Keun Soo Ahn, Sung-Min Ahn, Hiroshi Aikata, Rehan Akbani, Kadir C Akdemir, Hikmat Al-Ahmadie, Sultan T Al-Sedairy, Fatima Al-Shahrour, Malik Alawi, Monique Albert, Kenneth Aldape, Ludmil B Alexandrov, Adrian Ally, Kathryn Alsop, Eva G Alvarez … & Christian von Mering
Many primary tumours have low levels of molecular oxygen (hypoxia), and hypoxic tumours respond poorly to therapy. Pan-cancer molecular hallmarks of tumour hypoxia remain poorly understood, with limited comprehension of its associations with specific mutational processes, non-coding driver genes and evolutionary features. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2658 cancers across 38 tumour types, we quantify hypoxia in 1188 tumours spanning...

A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns

Wei Jiao, Gurnit Atwal, Paz Polak, Rosa Karlic, Edwin Cuppen, Fatima Al-Shahrour, Peter J Bailey, Andrew V Biankin, Paul C Boutros, Peter J Campbell, David K Chang, Susanna L Cooke, Vikram Deshpande, Bishoy M Faltas, William C Faquin, Levi Garraway, Gad Getz, Sean M Grimmond, Syed Haider, Katherine A Hoadley, Vera B Kaiser, Mamoru Kato, Kirsten Kübler, Alexander J Lazar, Constance H Li … & Christian von Mering
In cancer, the primary tumour’s organ of origin and histopathology are the strongest determinants of its clinical behaviour, but in 3% of cases a patient presents with a metastatic tumour and no obvious primary. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, we train a deep learning classifier to predict cancer type based on patterns of somatic passenger mutations detected in whole genome sequencing (WGS) of 2606 tumours representing 24...

A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns

Wei Jiao, Gurnit Atwal, Paz Polak, Rosa Karlic, Edwin Cuppen, Fatima Al-Shahrour, Peter J Bailey, Andrew V Biankin, Paul C Boutros, Peter J Campbell, David K Chang, Susanna L Cooke, Vikram Deshpande, Bishoy M Faltas, William C Faquin, Levi Garraway, Gad Getz, Sean M Grimmond, Syed Haider, Katherine A Hoadley, Vera B Kaiser, Mamoru Kato, Kirsten Kübler, Alexander J Lazar, Constance H Li … & Christian von Mering
In cancer, the primary tumour’s organ of origin and histopathology are the strongest determinants of its clinical behaviour, but in 3% of cases a patient presents with a metastatic tumour and no obvious primary. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, we train a deep learning classifier to predict cancer type based on patterns of somatic passenger mutations detected in whole genome sequencing (WGS) of 2606 tumours representing 24...

Combined burden and functional impact tests for cancer driver discovery using DriverPower

Shimin Shuai, Federico Abascal, Samirkumar B Amin, Gary D Bader, Pratiti Bandopadhayay, Jonathan Barenboim, Rameen Beroukhim, Johanna Bertl, Keith A Boroevich, Søren Brunak, Peter J Campbell, Joana Carlevaro-Fita, Dimple Chakravarty, Calvin Wing Yiu Chan, Ken Chen, Jung Kyoon Choi, Jordi Deu-Pons, Priyanka Dhingra, Klev Diamanti, Lars Feuerbach, J Lynn Fink, Nuno A Fonseca, Joan Frigola, Carlo Gambacorti-Passerini, Dale W Garsed … & L van’t Veer
The discovery of driver mutations is one of the key motivations for cancer genome sequencing. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2658 cancers across 38 tumour types, we describe DriverPower, a software package that uses mutational burden and functional impact evidence to identify driver mutations in coding and non-coding sites within cancer whole genomes. Using a total of 1373 genomic features...

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  • Ryukoku University
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  • University of Tennessee Health Science Center
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