Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Jérémy Gruel"'
Autor:
Ram Kishor Yadav, Mariano Perales, Jérémy Gruel, Carolyn Ohno, Marcus Heisler, Thomas Girke, Henrik Jönsson, G Venugopala Reddy
Publikováno v:
Molecular Systems Biology, Vol 9, Iss 1, Pp 1-13 (2013)
Abstract In animal systems, master regulatory transcription factors (TFs) mediate stem cell maintenance through a direct transcriptional repression of differentiation promoting TFs. Whether similar mechanisms operate in plants is not known. In plants
Externí odkaz:
https://doaj.org/article/43707dc6e24e466ca88d5cda388af39a
Autor:
Madelaine E. Bartlett, David A. Jackson, Qingyu Wu, Henrik Jönsson, Mai Komatsu, Jérémy Gruel, Alexander Goldshmidt, Robert B. Meeley, Andrea L. Eveland, Young Koung Lee, Peter Bommert, Hajime Sakai, Edgar Demesa Arevalo, Byoung Il Je
Publikováno v:
Nature Genetics. 48:785-791
Shoot apical meristems are stem cell niches that balance proliferation with the incorporation of daughter cells into organ primordia. This balance is maintained by CLAVATA-WUSCHEL feedback signaling between the stem cells at the tip of the meristem a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6836315e55d1225684098916c6cfcac4
https://doi.org/10.1038/ng.3567
https://doi.org/10.1038/ng.3567
The plant shoot apical meristem holds a stem cell niche from which all aerial organs originate. Using a computational approach we show that a mixture of monomers and heterodimers of the transcription factors WUSCHEL and HAIRY MERISTEM is sufficient t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::444abc82db59a323f01c0b1c2f16b454
Autor:
Jérémy Gruel, Elliot M. Meyerowitz, Christoph Schuster, Benoit Landrein, Yassin Refahi, Paul T. Tarr, Henrik Jönsson, Arun Sampathkumar, Olivier Hamant
Publikováno v:
Science Advances
Science Advances, 2016, 2 (1), ⟨10.1126/sciadv.1500989⟩
Science Advances, American Association for the Advancement of Science (AAAS), 2016, 2 (1), ⟨10.1126/sciadv.1500989⟩
Science Advances 1 (2), . (2016)
Science Advances, 2016, 2 (1), ⟨10.1126/sciadv.1500989⟩
Science Advances, American Association for the Advancement of Science (AAAS), 2016, 2 (1), ⟨10.1126/sciadv.1500989⟩
Science Advances 1 (2), . (2016)
An epidermis control of plant shoot stem cells can explain the scaling and position of the niche expression domains.
How molecular patterning scales to organ size is highly debated in developmental biology. We explore this question for the chara
How molecular patterning scales to organ size is highly debated in developmental biology. We explore this question for the chara
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d880072084cf4a8d79b1d2ebb0d2612
https://hal.inrae.fr/hal-02632583
https://hal.inrae.fr/hal-02632583
Autor:
Carolyn Ohno, Henrik Jönsson, Jérémy Gruel, G. Venugopala Reddy, Thomas Girke, Ram Kishor Yadav, Mariano Perales, Marcus G. Heisler
Publikováno v:
Molecular Systems Biology
The plant stem cell regulator WUSCHEL is shown to repress differentiation-promoting transcription factors. This regulatory network is analyzed with a computational model of the three-dimensional shoot stem cell niche and a combination of genetic pert
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05777ba1e636225591f9e26a11b776a9
https://doi.org/10.1038/msb.2013.8
https://doi.org/10.1038/msb.2013.8
Publikováno v:
Current opinion in plant biology. 15(1)
Recent advances in experimental plant biology have led to an increased potential to investigate plant development at a systems level. The emerging research field of Computational Morphodynamics has the aim to lead this development by combining dynami
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a2d4e9420ad6b05843f3922e92537b6
https://pubmed.ncbi.nlm.nih.gov/22000039
https://pubmed.ncbi.nlm.nih.gov/22000039
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, BioMed Central, 2011, 12, pp.365. ⟨10.1186/1471-2105-12-365⟩
BMC Bioinformatics, Vol 12, Iss 1, p 365 (2011)
BMC Bioinformatics, 2011, 12, pp.365. ⟨10.1186/1471-2105-12-365⟩
BMC Bioinformatics, BioMed Central, 2011, 12, pp.365. ⟨10.1186/1471-2105-12-365⟩
BMC Bioinformatics, Vol 12, Iss 1, p 365 (2011)
BMC Bioinformatics, 2011, 12, pp.365. ⟨10.1186/1471-2105-12-365⟩
Background Regulation of gene expression plays a pivotal role in cellular functions. However, understanding the dynamics of transcription remains a challenging task. A host of computational approaches have been developed to identify regulatory motifs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd7ae87a7107136685124e61de74ac2a
https://pubmed.ncbi.nlm.nih.gov/21910886
https://pubmed.ncbi.nlm.nih.gov/21910886
Publikováno v:
BMC Research Notes
BMC Research Notes, 2009, 2 (1), pp.193. ⟨10.1186/1756-0500-2-193⟩
IPG 2008
IPG 2008, Nov 2008, Lyon, France
BMC Research Notes, BioMed Central, 2009, 2 (1), pp.193. ⟨10.1186/1756-0500-2-193⟩
BMC Research Notes, Vol 2, Iss 1, p 193 (2009)
BMC Research Notes, 2009, 2 (1), pp.193. ⟨10.1186/1756-0500-2-193⟩
IPG 2008
IPG 2008, Nov 2008, Lyon, France
BMC Research Notes, BioMed Central, 2009, 2 (1), pp.193. ⟨10.1186/1756-0500-2-193⟩
BMC Research Notes, Vol 2, Iss 1, p 193 (2009)
Background The transforming growth factor beta is known to have pleiotropic effects, including differentiation, proliferation and apoptosis. However the underlying mechanisms remain poorly understood. The regulation and effect of TGF-β signaling is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fbd5e7d5f635dbb8db4ec845ea4f9609
https://www.hal.inserm.fr/inserm-00663589/file/1756-0500-2-193.pdf
https://www.hal.inserm.fr/inserm-00663589/file/1756-0500-2-193.pdf
Publikováno v:
COMPUTATIONAL INTELLIGENCE METHODS FOR BIOINFORMATICS AND BIOSTATISTICS
CIBB 2008: COMPUTATIONAL INTELLIGENCE METHODS FOR BIOINFORMATICS AND BIOSTATISTICS
CIBB 2008: COMPUTATIONAL INTELLIGENCE METHODS FOR BIOINFORMATICS AND BIOSTATISTICS, Oct 2008, Salerno, Italy. 5488, pp.144-155, 2009, Lecture Notes in Computer Sciences LNCS. 〈http://www.springerlink.com/content/r058r17l84778kg9/?p=74d54a52824142029829f687fb65a4d3&pi=12〉
CIBB 2008: COMPUTATIONAL INTELLIGENCE METHODS FOR BIOINFORMATICS AND BIOSTATISTICS, Oct 2008, Salerno, Italy. pp.144-155
HAL
Computational Intelligence Methods for Bioinformatics and Biostatistics ISBN: 9783642025037
CIBB
CIBB 2008: COMPUTATIONAL INTELLIGENCE METHODS FOR BIOINFORMATICS AND BIOSTATISTICS
CIBB 2008: COMPUTATIONAL INTELLIGENCE METHODS FOR BIOINFORMATICS AND BIOSTATISTICS, Oct 2008, Salerno, Italy. 5488, pp.144-155, 2009, Lecture Notes in Computer Sciences LNCS. 〈http://www.springerlink.com/content/r058r17l84778kg9/?p=74d54a52824142029829f687fb65a4d3&pi=12〉
CIBB 2008: COMPUTATIONAL INTELLIGENCE METHODS FOR BIOINFORMATICS AND BIOSTATISTICS, Oct 2008, Salerno, Italy. pp.144-155
HAL
Computational Intelligence Methods for Bioinformatics and Biostatistics ISBN: 9783642025037
CIBB
International audience; The analysis of large-scale regulatory models using data issued from genome-scale highthroughput experimental techniques is an actual challenge in the systems biology field. This kind of analysis faces three common problems: t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e66add46b002ec8f976274599f6fece8
https://hal.inria.fr/inria-00331385/file/cibb.pdf
https://hal.inria.fr/inria-00331385/file/cibb.pdf