Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Kadlof, A."'
Publikováno v:
In Methods June 2024 226:54-60
Publikováno v:
In Methods 1 October 2020 181-182:62-69
Autor:
Paweł Trzaskoma, Błażej Ruszczycki, Byoungkoo Lee, Katarzyna K. Pels, Katarzyna Krawczyk, Grzegorz Bokota, Andrzej A. Szczepankiewicz, Jesse Aaron, Agnieszka Walczak, Małgorzata A. Śliwińska, Adriana Magalska, Michal Kadlof, Artur Wolny, Zofia Parteka, Sebastian Arabasz, Magdalena Kiss-Arabasz, Dariusz Plewczyński, Yijun Ruan, Grzegorz M. Wilczyński
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-9 (2020)
The genome is folded in 3-dimensions, though the lack of robust ultra-resolution imaging makes this difficult to visualise. Here, the authors present 3D-EMISH that combines serial block-face scanning electron microscopy with in situ hybridization.
Externí odkaz:
https://doaj.org/article/314efe399d9e425fbc4fd722009456ec
Publikováno v:
In Methods 15 August 2019 166:83-90
Akademický článek
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Publikováno v:
Nucleic Acids Research.
In the current update, we added a feature for analysing changes in spatial distances between promoters and enhancers in chromatin 3D model ensembles. We updated our datasets by the novel in situ CTCF and RNAPII ChIA-PET chromatin loops obtained from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2415ef0ef6791a808c1d634b67c2b8a7
https://doi.org/10.1093/nar/gkad354
https://doi.org/10.1093/nar/gkad354
Autor:
Dariusz Plewczynski, Michal Kadlof
Publikováno v:
Methods. :1-4
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b57449a36df2bf06e287ffe4e2971038
https://doi.org/10.1016/j.ymeth.2020.09.013
https://doi.org/10.1016/j.ymeth.2020.09.013
Publikováno v:
Methods. :62-69
Chromatin structure modeling is a rapidly developing field. Parallel to the enormous growth of available experimental data, there is a growing need of building and visualizing 3D structures of nuclei, chromosomes, chromatin domains, and single loops
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0226132cb8ee7fa0b3faf04ce6d86f2
https://doi.org/10.1016/j.ymeth.2019.11.014
https://doi.org/10.1016/j.ymeth.2019.11.014
Publikováno v:
Methods
We present machine learning models of human genome three-dimensional structure that combine one dimensional (linear) sequence specificity, epigenomic information, and transcription factor binding profiles, with the polymer-based biophysical simulatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90c936a441ce5f775069f0dbaa1bb336
https://doi.org/10.1016/j.ymeth.2019.03.002
https://doi.org/10.1016/j.ymeth.2019.03.002
Autor:
Grzegorz M. Wilczynski, Andrzej A. Szczepankiewicz, Michal Kadlof, Agnieszka Walczak, Artur Wolny, Blazej Ruszczycki, Parteka Z, Katarzyna Karolina Pels, Jesse Aaron, Małgorzata Alicja Śliwińska, Grzegorz Bokota, Sebastian Arabasz, Magdalena Kiss-Arabasz, Pawel Trzaskoma, Adriana Magalska, Dariusz Plewczynski, Yijun Ruan, Katarzyna Krawczyk, Byoungkoo Lee
The human genome is extensively folded into 3-dimensional organization, yet the detailed 3D chromatin folding structures have not been fully visualized due to the lack of robust and ultra- resolution imaging capability. Here, we report the developmen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::238890a93a3e833ff9202ebcef12bcad
