Zobrazeno 1 - 10
of 15
pro vyhledávání: '"James Shiniti Nagai"'
Autor:
Alexandre Hild Aono, Ricardo José Gonzaga Pimenta, Ana Letycia Basso Garcia, Fernando Henrique Correr, Guilherme Kenichi Hosaka, Marishani Marin Carrasco, Cláudio Benício Cardoso-Silva, Melina Cristina Mancini, Danilo Augusto Sforça, Lucas Borges dos Santos, James Shiniti Nagai, Luciana Rossini Pinto, Marcos Guimarães de Andrade Landell, Monalisa Sampaio Carneiro, Thiago Willian Balsalobre, Marcos Gonçalves Quiles, Welison Andrade Pereira, Gabriel Rodrigues Alves Margarido, Anete Pereira de Souza
Publikováno v:
Frontiers in Plant Science, Vol 12 (2021)
The protein kinase (PK) superfamily is one of the largest superfamilies in plants and the core regulator of cellular signaling. Despite this substantial importance, the kinomes of sugarcane and sorghum have not been profiled. Here, we identified and
Externí odkaz:
https://doaj.org/article/eb927cebf764488696ae9238bdc87c8f
Publikováno v:
Bioinformatics Advances, 3(1):vbad003. Oxford University Press
Summary The increasing availability of single-cell multi-omics data allows to quantitatively characterize gene regulation. We here describe scMEGA (Single-cell Multiomic Enhancer-based Gene Regulatory Network Inference) that enables an end-to-end ana
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::902d8c61c6418f6a7f1cea978a7dd8be
https://pure.eur.nl/en/publications/d1aef56e-e218-4417-b46a-cb818cd79b96
https://pure.eur.nl/en/publications/d1aef56e-e218-4417-b46a-cb818cd79b96
Autor:
Nils B. Leimkühler, James Shiniti Nagai, Ivan G. Costa, Michael T. Schaub, Rebekka K. Schneider
Publikováno v:
Bioinformatics (Oxford, England), 37(22), 4263-4265. Oxford University Press
Bioinformatics btab370 (2021). doi:10.1093/bioinformatics/btab370
Bioinformatics btab370 (2021). doi:10.1093/bioinformatics/btab370
Bioinformatics btab370 (2021). doi:10.1093/bioinformatics/btab370
Published by Oxford Univ. Press, Oxford
Published by Oxford Univ. Press, Oxford
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d0c40edee63994a2c632fb44eedf72c
https://doi.org/10.1093/bioinformatics/btab370
https://doi.org/10.1093/bioinformatics/btab370
Autor:
Rafael Kramann, Eric J. Steenbergen, Dirk J W den Braanker, Naomi Parr, Vedran Drenic, Jack F.M. Wetzels, Bart Smeets, Roy Wetzels, Christoph Kuppe, Tom Nijenhuis, Bartholomeus T. van den Berge, Rutger J. Maas, Katharina C Reimer, Helmer Mudde, James Shiniti Nagai, Nicole C. A. J. van de Kar, Martijn van den Broek, Ivan G. Costa, Fieke Mooren, Gianluca Di Giovanni, Brigith Willemsen, Nicole Endlich, Jitske Jansen, Rebekka K. Schneider, Johan van der Vlag, Michiel F. Schreuder, Quincy Nlandu
Nephrotic syndrome (NS) is characterized by severe proteinuria as a consequence of kidney glomerular injury due to podocyte damage. In vitro models mimicking in vivo podocyte characteristics are a prerequisite to resolve NS pathogenesis. Here, we rep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a849cfa988909b8feb5e7920ab399ad
https://doi.org/10.1101/2021.10.27.466054
https://doi.org/10.1101/2021.10.27.466054
Autor:
Aurelien Dugourd, Ivan G. Costa, Ricardo O. Ramirez Flores, James Shiniti Nagai, Bence Szalai, Alberto Valdeolivas, Daniel Dimitrov, Julio Saez Rodriguez, Charlotte Boys, Dénes Türei, Hyojin Kim
The growing availability of single-cell data has sparked an increased interest in the inference of cell-cell communication from this data. Many tools have been developed for this purpose. Each of them consists of a resource of intercellular interacti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::956297ca46f37bc38f2968676bfc88d3
https://doi.org/10.21203/rs.3.rs-634687/v1
https://doi.org/10.21203/rs.3.rs-634687/v1
Autor:
Matthias Begemann, Felix Schreibing, Dario Frank, Christoph Kuppe, Gernot Marx, Julio Saez-Rodriguez, Ivan Gesteira Costa Filho, Jennifer Kranz, Nikolaus Marx, Fabio Ticconi, Michael Dreher, Eleanor Fewings, Vera Balz, James Shiniti Nagai, Frank Windhofer, Patrick Ziegler, Jürgen Enczmann, Paul Balfanz, Monica Hannani, Ingo Kurth, Rebekka K. Schneider, Thomas Kraus, Rafael Kramann, Christian Kurts, Teresa Anslinger
The current COVID-19 pandemic represents a global challenge. A better understanding of the immune response against SARS-CoV-2 is key to unveil the differences in disease severity and to develop future vaccines targeting novel SARS-CoV-2 variants. Fea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c57fdb8272634c09c846e70ac3adae7
https://doi.org/10.1101/2021.03.03.432690
https://doi.org/10.1101/2021.03.03.432690
Autor:
Rebekka K. Schneider, James Shiniti Nagai, Nils B. Leimkühler, Ivan G. Costa, Michael T. Schaub
MotivationLigand-receptor (LR) network analysis allows the characterization of cellular crosstalk based on single cell RNA-seq data. However, current methods typically provide a list of inferred LR interactions and do not allow the researcher to focu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5fd0fd3d1c5791734d3df45d389053ac
https://doi.org/10.1101/2021.01.20.427390
https://doi.org/10.1101/2021.01.20.427390
Autor:
Lucas Borges dos Santos, Monalisa Sampaio Carneiro, Danilo Augusto Sforça, Marcos Guimarães de Andrade Landell, Marishani Marin Carrasco, Gabriel Rodrigues Alves Margarido, Welison Andrade Pereira, Luciana Rossini Pinto, James Shiniti Nagai, Ricardo José Gonzaga Pimenta, Guilherme Kenichi Hosaka, Ana Letycia Basso Garcia, Thiago Willian Balsalobre, Melina Cristina Mancini, Claudio Benicio Cardoso-Silva, Fernando Henrique Correr, Anete Pereira de Souza, Alexandre Hild Aono, Marcos G. Quiles
The protein kinase (PK) superfamily is one of the largest superfamilies in plants and is the core regulator of cellular signaling. Even considering this substantial importance, the kinomes of sugarcane and sorghum have not been profiled. Here we iden
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bac93f0310d78b25deac584491d1716e
https://doi.org/10.1101/2020.09.15.298612
https://doi.org/10.1101/2020.09.15.298612