Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Thalia E. Chan"'
Autor:
Sung Pil Hong, Thalia E. Chan, Ylenia Lombardo, Giacomo Corleone, Nicole Rotmensz, Sara Bravaccini, Andrea Rocca, Giancarlo Pruneri, Kirsten R. McEwen, R. Charles Coombes, Iros Barozzi, Luca Magnani
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-14 (2019)
The development of resistance to endocrine therapy is a significant, clinical problem in breast cancer. Here, the authors identify a rare subpopulation of cells that drive resistance following transcriptional reprogramming.
Externí odkaz:
https://doaj.org/article/266ee5cecff04b52b1a25a258b6d6db4
Autor:
Giacomo Corleone, Giancarlo Pruneri, Nicole Rotmensz, Andrea Rocca, Kirsten R. McEwen, Sara Bravaccini, Charles Coombes, Iros Barozzi, Thalia E. Chan, Sung Pil Hong, Ylenia Lombardo, Luca Magnani
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-14 (2019)
Nature Communications
Nature Communications
Resistant tumours are thought to arise from the action of Darwinian selection on genetically heterogenous cancer cell populations. However, simple clonal selection is inadequate to describe the late relapses often characterising luminal breast cancer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd06216316ffa9b948132d37d4a25874
http://link.springer.com/article/10.1038/s41467-019-11721-9
http://link.springer.com/article/10.1038/s41467-019-11721-9
Publikováno v:
Current Opinion in Systems Biology. 5:72-81
Single cell transcriptomic data allow us to probe the transcriptional changes occurring during cell development in unprecedented detail. These complex datasets are driving the development of new computational and statistical tools that are revolution
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c210137184873407d7e2cc48c682b5c
https://doi.org/10.1016/j.coisb.2017.07.013
https://doi.org/10.1016/j.coisb.2017.07.013
Publikováno v:
Methods in molecular biology (Clifton, N.J.). 1975
Single cell experimental techniques now allow us to quantify gene expression in up to thousands of individual cells. These data reveal the changes in transcriptional state that occur as cells progress through development and adopt specialized cell fa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::5c5f3721a94a81f6157b59bd8b24d727
https://pubmed.ncbi.nlm.nih.gov/31062312
https://pubmed.ncbi.nlm.nih.gov/31062312
Publikováno v:
Computational Stem Cell Biology ISBN: 9781493992232
Single cell experimental techniques now allow us to quantify gene expression in up to thousands of individual cells. These data reveal the changes in transcriptional state that occur as cells progress through development and adopt specialized cell fa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3e8a86515452052d6f5ff5d35c5a33b
https://doi.org/10.1007/978-1-4939-9224-9_10
https://doi.org/10.1007/978-1-4939-9224-9_10
Autor:
Giacomo Corleone, Kirsten R. McEwen, Nicole Rotmensz, Charles Coombes, Sung Pil Hong, Iros Barozzi, Giancarlo Pruneri, Ylenia Lombardo, Luca Magnani, Thalia E. Chan
Resistant tumours are thought to arise from the action of Darwinian selection on genetically heterogenous cancer cell populations. However, simple clonal selection is inadequate to describe the late relapses often characterising luminal breast cancer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ddfb13594bd20f0fca3ceaf45b03caa4
Autor:
Al-Zouabi L, Enrico Petretto, Petra Hajkova, Huang T, Sardini A, Sarah Filippi, Kirsten R. McEwen, Michael P. H. Stumpf, Prashant K. Srivastava, Harry G. Leitch, Sarah Linnett, Thalia E. Chan, Maxime Rotival
Pluripotent stem cells (PSCs) can self-renew indefinitely while maintaining the ability to generate all cell types of the body. This plasticity is proposed to require heterogeneity in gene expression, driving a metastable state which may allow flexib
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7cab992c30fb3f89382a1e598188ff62
https://doi.org/10.1101/373373
https://doi.org/10.1101/373373
Gene expression is controlled by networks of transcription factors and regulators, but the structure of these networks is as yet poorly understood and is thus inferred from data. Recent work has shown the efficacy of information theoretical approache
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::615b7e3165adb80ab955fc0c3608add8
Autor:
Ann C. Babtie, Fumio Arai, Colin P. Please, Michael P. H. Stumpf, Franz-Josef Müller, Thalia E. Chan, Michael Lenz, Sam Howison, Ben D. MacArthur, Andreas Schuppert, Rosanna C.G. Smith, Patrick S. Stumpf
Pluripotent stem cells are able to self-renew indefinitely in culture and differentiate into all somatic cell typesin vivo. While much is known about the molecular basis of pluripotency, the molecular mechanisms of lineage commitment are complex and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b4abc158d6bc49372a3fa09f103cdd6
Publikováno v:
267.e3
Cell Systems
Cell Systems
Summary While single-cell gene expression experiments present new challenges for data processing, the cell-to-cell variability observed also reveals statistical relationships that can be used by information theory. Here, we use multivariate informati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28ab212c0498a9f6e7b3d4488eb9aa5a
https://doi.org/10.1016/j.cels.2017.08.014
https://doi.org/10.1016/j.cels.2017.08.014