Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Carol Bult"'
Autor:
Zdenka Dudová, Nathalie Conte, Jeremy Mason, Dalibor Stuchlík, Radim Peša, Csaba Halmagyi, Zinaida Perova, Abayomi Mosaku, Ross Thorne, Alex Follette, Ľuboslav Pivarč, Radim Šašinka, Muhammad Usman, Steven Neuhauser, Dale A. Begley, Debra M. Krupke, Massimiliano Frassà, Alessandro Fiori, Riccardo Corsi, Luca Vezzadini, Claudio Isella, Andrea Bertotti, Carol Bult, Helen Parkinson, Enzo Medico, Terrence Meehan, Aleš Křenek
Publikováno v:
BMC Genomics, Vol 23, Iss 1, Pp 1-11 (2022)
Abstract Background Patient-derived xenografts (PDX) mice models play an important role in preclinical trials and personalized medicine. Sharing data on the models is highly valuable for numerous reasons – ethical, economical, research cross valida
Externí odkaz:
https://doaj.org/article/f99e9bc8c35f4c12ae94bc2bd9b450b1
Autor:
Renata Stripecke, Christian Münz, Jan Jacob Schuringa, Karl‐Dimiter Bissig, Brian Soper, Terrence Meeham, Li‐Chin Yao, James P Di Santo, Michael Brehm, Estefania Rodriguez, Anja Kathrin Wege, Dominique Bonnet, Silvia Guionaud, Kristina E Howard, Scott Kitchen, Florian Klein, Kourosh Saeb‐Parsy, Johannes Sam, Amar Deep Sharma, Andreas Trumpp, Livio Trusolino, Carol Bult, Leonard Shultz
Publikováno v:
EMBO Molecular Medicine, Vol 12, Iss 7, Pp n/a-n/a (2020)
Abstract Mice xenotransplanted with human cells and/or expressing human gene products (also known as “humanized mice”) recapitulate the human evolutionary specialization and diversity of genotypic and phenotypic traits. These models can provide a
Externí odkaz:
https://doaj.org/article/0b7a5df243a34bd59c1903d19ca29593
Autor:
Chong-Xian Pan, Hongyong Zhang, Clifford G Tepper, Tzu-yin Lin, Ryan R Davis, James Keck, Paramita M Ghosh, Parkash Gill, Susan Airhart, Carol Bult, David R Gandara, Edison Liu, Ralph W de Vere White
Publikováno v:
PLoS ONE, Vol 10, Iss 8, p e0134346 (2015)
The overarching goal of this project is to establish a patient-derived bladder cancer xenograft (PDX) platform, annotated with deep sequencing and patient clinical information, to accelerate the development of new treatment options for bladder cancer
Externí odkaz:
https://doaj.org/article/ff7616f6731448008c3ccd6a09a25d4e
Autor:
Masaaki Furuno, Ken C Pang, Noriko Ninomiya, Shiro Fukuda, Martin C Frith, Carol Bult, Chikatoshi Kai, Jun Kawai, Piero Carninci, Yoshihide Hayashizaki, John S Mattick, Harukazu Suzuki
Publikováno v:
PLoS Genetics, Vol 2, Iss 4, p e37 (2006)
Non-protein-coding RNAs (ncRNAs) are increasingly being recognized as having important regulatory roles. Although much recent attention has focused on tiny 22- to 25-nucleotide microRNAs, several functional ncRNAs are orders of magnitude larger in si
Externí odkaz:
https://doaj.org/article/90c32b0d57dc4c4fa87080183428175c
Autor:
Zinaida Perova, Mauricio Martinez, Tushar Mandloi, Federico Lopez Gomez, Csaba Halmagyi, Alex Follette, Jeremy Mason, Steven Newhauser, Dale A Begley, Debra M Krupke, Carol Bult, Helen Parkinson, Tudor Groza
Publikováno v:
Nucleic Acids Research. 51:D1360-D1366
PDCM Finder (www.cancermodels.org) is a cancer research platform that aggregates clinical, genomic and functional data from patient-derived xenografts, organoids and cell lines. It was launched in April 2022 as a successor of the PDX Finder portal, w
Autor:
Zinaida Perova, Mauricio Martinez, Tushar Mandloi, Federico Lopez Gomez, Csaba Halmagyi, Alex Follette, Jeremy Mason, Steven Neuhauser, Dale A. Begley, Debra M. Krupke, Carol Bult, Helen Parkinson, Tudor Groza, Marcelo P. Rios Almanza
Publikováno v:
Cancer Research. 83:4682-4682
PDCM Finder (www.cancermodels.org) is a cancer research platform that aggregates clinical, genomic and functional data from patient-derived xenografts, organoids and cell lines. Currently, the portal has over 6300 models across 13 cancer types, inclu
Publikováno v:
Cladistics : the international journal of the Willi Hennig SocietyREFERENCES. 8(3)
The skewness criterion of phylogenetic structure in data is too sensitive to character state frequencies, is not sensitive enough to number of characters (degree of corroboration) and relies on counts of arbitrarily-resolved bifurcating trees. For th
Autor:
James S. Farris, Mari Kallersjo, Victor A. Albert, Marc Allard, Arne Anderberg, Brunella Bowditch, Carol Bult, James M. Carpenter, Timothy M. Crowe, Jan Laet, Kirk Fitzhugh, Darryl Frost, Pablo Goloboff, Christopher J. Humphries, Ulf Jondelius, Darlene Judd, Per Ola Karis, Diana Lipscomb, Melissa Luckow, David Mindell, Jyrki Muona, Kevin Nixon, William Presch, Ole Seberg, Mark E. Siddall, Lena Struwe, Anders Tehler, John Wenzel, Quentin Wheeler, Ward Wheeler
Publikováno v:
Cladistics : the international journal of the Willi Hennig SocietyREFERENCES. 11(2)
ispartof: Cladistics vol:11 issue:2 pages:211-218 ispartof: location:United States status: published
Autor:
Vida Ravanmehr, Hannah Blau, Luca Cappelletti, Tommaso Fontana, Leigh Carmody, Ben Coleman, Joshy George, Justin Reese, Marcin Joachimiak, Giovanni Bocci, Peter Hansen, Carol Bult, Jens Rueter, Elena Casiraghi, Giorgio Valentini, Christopher Mungall, Tudor I Oprea, Peter N Robinson
Publikováno v:
NAR genomics and bioinformatics, vol 3, iss 4
NAR Genomics and Bioinformatics
NAR Genomics and Bioinformatics
Inhibiting protein kinases (PKs) that cause cancers has been an important topic in cancer therapy for years. So far, almost 8% of >530 PKs have been targeted by FDA-approved medications, and around 150 protein kinase inhibitors (PKIs) have been teste
Autor:
Zdenka Dudová, Nathalie Conte, Jeremy Mason, Dalibor Stuchlík, Radim Peša, Csaba Halmagyi, Zinaida Perova, Abayomi Mosaku, Ross Thorne, Alex Follette, Ľuboslav Pivarč, Radim Šašinka, Muhammad Usman, Steven Neuhauser, Dale A. Begley, Debra M. Krupke, Massimiliano Frassà, Alessandro Fiori, Riccardo Corsi, Luca Vezzadini, Claudio Isella, Andrea Bertotti, Carol Bult, Helen Parkinson, Enzo Medico, Terrence Meehan, Aleš Křenek
Publikováno v:
BMC genomics. 23(1)
Background Patient-derived xenografts (PDX) mice models play an important role in preclinical trials and personalized medicine. Sharing data on the models is highly valuable for numerous reasons – ethical, economical, research cross validation etc.