Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Giulia Vallardi"'
Publikováno v:
Frontiers in Computer Science, Vol 3 (2021)
Single-cell methods are beginning to reveal the intrinsic heterogeneity in cell populations, arising from the interplay of deterministic and stochastic processes. However, it remains challenging to quantify single-cell behaviour from time-lapse micro
Externí odkaz:
https://doaj.org/article/012fc992637048beb319fb10857aa28b
Autor:
Daniel Gradeci, Anna Bove, Giulia Vallardi, Alan R Lowe, Shiladitya Banerjee, Guillaume Charras
Publikováno v:
eLife, Vol 10 (2021)
How cells with different genetic makeups compete in tissues is an outstanding question in developmental biology and cancer research. Studies in recent years have revealed that cell competition can either be driven by short-range biochemical signallin
Externí odkaz:
https://doaj.org/article/a7eb59c480d64f3284720e2100b5d57a
Autor:
Richard J. Smith, Marilia H. Cordeiro, Norman E. Davey, Giulia Vallardi, Andrea Ciliberto, Fridolin Gross, Adrian T. Saurin
Publikováno v:
Cell Reports, Vol 28, Iss 8, Pp 2206-2219.e8 (2019)
Summary: PP1 and PP2A-B56 are major serine/threonine phosphatase families that achieve specificity by colocalizing with substrates. At the kinetochore, however, both phosphatases localize to an almost identical molecular space and yet they still mana
Externí odkaz:
https://doaj.org/article/56be128601e84e0e9b4e4487d4343491
Publikováno v:
eLife, Vol 8 (2019)
PP2A-B56 is a serine/threonine phosphatase complex that regulates several major mitotic processes, including sister chromatid cohesion, kinetochore-microtubule attachment and the spindle assembly checkpoint. We show here that these key functions are
Externí odkaz:
https://doaj.org/article/dc9335a60cea4fd596dd2970fdbea044
Publikováno v:
Nature Machine Intelligence. 4:636-644
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6e1eb1bccb04335a4ca38bc3cb19b19
https://doi.org/10.1038/s42256-022-00503-6
https://doi.org/10.1038/s42256-022-00503-6
Deep learning is now a powerful tool in microscopy data analysis, and is routinely used for image processing applications such as segmentation and denoising. However, it has rarely been used to directly learn mechanistic models of a biological system
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c864d92c732c3efdfaa06f0e3e65672d
https://doi.org/10.1101/2021.11.24.469554
https://doi.org/10.1101/2021.11.24.469554
Single-cell methods are beginning to reveal the intrinsic heterogeneity in cell populations, which arises from the interplay or deterministic and stochastic processes. For example, the molecular mechanisms of cell cycle control are well characterised
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79a37be708dbb544e8b013638ea550bf
https://doi.org/10.1101/2020.09.10.276980
https://doi.org/10.1101/2020.09.10.276980
Autor:
Daniel Gradeci, Guillaume Charras, Giulia Vallardi, Shiladitya Banerjee, Alan R. Lowe, Anna Bove
Publikováno v:
eLife, Vol 10 (2021)
How cells with different genetic makeups compete in tissues is an outstanding question in developmental biology and cancer research. Studies in recent years have revealed that cell competition can either be driven by short-range biochemical signallin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11402f282675ae36fbc959611d5211ef
https://pubmed.ncbi.nlm.nih.gov/34256920
https://pubmed.ncbi.nlm.nih.gov/34256920
Autor:
Ola Epemolu, Philip J. Murray, Mariya Ptashnyk, Adrian T. Saurin, Isaac Proudfoot, Yoko Shishikura, Giulia Vallardi
Paclitaxel is a major chemotherapeutic drug used to treat a variety of tumour types. Through targeting the microtubules, paclitaxel induces abnormal or arrested cell mitosis, leading to tumour shrinkage. Unfortunately, the cytotoxicity of paclitaxel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ca90e04818c6d99c98326161215ba18