Pancreatic cancer prognosis is predicted by an ATAC-array technology for assessing chromatin accessibility
ATAC-seq allows for the investigation of chromatin accessibility, a feature which can have important implications for gene regulation. Here the authors present ATAC-array to assess accessibility in human tumours and based on this predict disease prognosis.
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2021
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oai:doaj.org-article:6977d7f3af4b4cfabd67f3e6911c6b382021-12-02T15:00:50ZPancreatic cancer prognosis is predicted by an ATAC-array technology for assessing chromatin accessibility10.1038/s41467-021-23237-22041-1723https://doaj.org/article/6977d7f3af4b4cfabd67f3e6911c6b382021-05-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-23237-2https://doaj.org/toc/2041-1723ATAC-seq allows for the investigation of chromatin accessibility, a feature which can have important implications for gene regulation. Here the authors present ATAC-array to assess accessibility in human tumours and based on this predict disease prognosis.S. DharaS. ChhangawalaH. ChintalapudiG. AskanV. AvesonA. L. MassaL. ZhangD. TorresA. P. Makohon-MooreN. LecomteJ. P. MelchorJ. BermeoA. CardenasS. SinhaD. GlassmanR. NicolleR. MoffittK. H. YuS. LeppanenS. LadermanB. CurryJ. GuiV. P. BalachandranC. Iacobuzio-DonahueR. ChandwaniC. S. LeslieS. D. LeachNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-9 (2021) |
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Science Q S. Dhara S. Chhangawala H. Chintalapudi G. Askan V. Aveson A. L. Massa L. Zhang D. Torres A. P. Makohon-Moore N. Lecomte J. P. Melchor J. Bermeo A. Cardenas S. Sinha D. Glassman R. Nicolle R. Moffitt K. H. Yu S. Leppanen S. Laderman B. Curry J. Gui V. P. Balachandran C. Iacobuzio-Donahue R. Chandwani C. S. Leslie S. D. Leach Pancreatic cancer prognosis is predicted by an ATAC-array technology for assessing chromatin accessibility |
description |
ATAC-seq allows for the investigation of chromatin accessibility, a feature which can have important implications for gene regulation. Here the authors present ATAC-array to assess accessibility in human tumours and based on this predict disease prognosis. |
format |
article |
author |
S. Dhara S. Chhangawala H. Chintalapudi G. Askan V. Aveson A. L. Massa L. Zhang D. Torres A. P. Makohon-Moore N. Lecomte J. P. Melchor J. Bermeo A. Cardenas S. Sinha D. Glassman R. Nicolle R. Moffitt K. H. Yu S. Leppanen S. Laderman B. Curry J. Gui V. P. Balachandran C. Iacobuzio-Donahue R. Chandwani C. S. Leslie S. D. Leach |
author_facet |
S. Dhara S. Chhangawala H. Chintalapudi G. Askan V. Aveson A. L. Massa L. Zhang D. Torres A. P. Makohon-Moore N. Lecomte J. P. Melchor J. Bermeo A. Cardenas S. Sinha D. Glassman R. Nicolle R. Moffitt K. H. Yu S. Leppanen S. Laderman B. Curry J. Gui V. P. Balachandran C. Iacobuzio-Donahue R. Chandwani C. S. Leslie S. D. Leach |
author_sort |
S. Dhara |
title |
Pancreatic cancer prognosis is predicted by an ATAC-array technology for assessing chromatin accessibility |
title_short |
Pancreatic cancer prognosis is predicted by an ATAC-array technology for assessing chromatin accessibility |
title_full |
Pancreatic cancer prognosis is predicted by an ATAC-array technology for assessing chromatin accessibility |
title_fullStr |
Pancreatic cancer prognosis is predicted by an ATAC-array technology for assessing chromatin accessibility |
title_full_unstemmed |
Pancreatic cancer prognosis is predicted by an ATAC-array technology for assessing chromatin accessibility |
title_sort |
pancreatic cancer prognosis is predicted by an atac-array technology for assessing chromatin accessibility |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/6977d7f3af4b4cfabd67f3e6911c6b38 |
work_keys_str_mv |
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