Nature Communications (May 2021)
Pancreatic cancer prognosis is predicted by an ATAC-array technology for assessing chromatin accessibility
- 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
Affiliations
- S. Dhara
- Dartmouth Geisel School of Medicine and Norris Cotton Cancer Center
- S. Chhangawala
- Weill Cornell Graduate School of Medical Sciences
- H. Chintalapudi
- Dartmouth Geisel School of Medicine and Norris Cotton Cancer Center
- G. Askan
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center
- V. Aveson
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center
- A. L. Massa
- Dartmouth Geisel School of Medicine and Norris Cotton Cancer Center
- L. Zhang
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center
- D. Torres
- Dartmouth Geisel School of Medicine and Norris Cotton Cancer Center
- A. P. Makohon-Moore
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center
- N. Lecomte
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center
- J. P. Melchor
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center
- J. Bermeo
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center
- A. Cardenas
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center
- S. Sinha
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center
- D. Glassman
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center
- R. Nicolle
- Programme Cartes d’Identité des Tumeurs, Ligue Nationale Contre Le Cancer
- R. Moffitt
- Stony Brook University
- K. H. Yu
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center
- S. Leppanen
- Agilent Technologies Inc.
- S. Laderman
- Agilent Technologies Inc.
- B. Curry
- Agilent Technologies Inc.
- J. Gui
- Dartmouth Geisel School of Medicine and Norris Cotton Cancer Center
- V. P. Balachandran
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center
- C. Iacobuzio-Donahue
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center
- R. Chandwani
- Weill Cornell Medicine
- C. S. Leslie
- Computational Biology Program, Memorial Sloan Kettering Cancer Center
- S. D. Leach
- Dartmouth Geisel School of Medicine and Norris Cotton Cancer Center
- DOI
- https://doi.org/10.1038/s41467-021-23237-2
- Journal volume & issue
-
Vol. 12,
no. 1
pp. 1 – 9
Abstract
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.
