Home > Publications Database > Decoding mechanism of action and sensitivity to drug candidates from integrated transcriptome and chromatin state. > print |
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005 | 20230915090615.0 | ||
024 | 7 | _ | |a 10.7554/eLife.78012 |2 doi |
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024 | 7 | _ | |a pmc:PMC9433094 |2 pmc |
024 | 7 | _ | |a altmetric:135208511 |2 altmetric |
037 | _ | _ | |a DZNE-2022-01569 |
041 | _ | _ | |a English |
082 | _ | _ | |a 600 |
100 | 1 | _ | |a Carraro, Caterina |0 P:(DE-2719)9001303 |b 0 |u dzne |
245 | _ | _ | |a Decoding mechanism of action and sensitivity to drug candidates from integrated transcriptome and chromatin state. |
260 | _ | _ | |a Cambridge |c 2022 |b eLife Sciences Publications |
336 | 7 | _ | |a article |2 DRIVER |
336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1665484418_26138 |2 PUB:(DE-HGF) |
336 | 7 | _ | |a ARTICLE |2 BibTeX |
336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
500 | _ | _ | |a CC BY: https://creativecommons.org/licenses/by/4.0/ |
520 | _ | _ | |a Omics-based technologies are driving major advances in precision medicine, but efforts are still required to consolidate their use in drug discovery. In this work, we exemplify the use of multi-omics to support the development of 3-chloropiperidines, a new class of candidate anticancer agents. Combined analyses of transcriptome and chromatin accessibility elucidated the mechanisms underlying sensitivity to test agents. Furthermore, we implemented a new versatile strategy for the integration of RNA- and ATAC-seq (Assay for Transposase-Accessible Chromatin) data, able to accelerate and extend the standalone analyses of distinct omic layers. This platform guided the construction of a perturbation-informed basal signature predicting cancer cell lines' sensitivity and to further direct compound development against specific tumor types. Overall, this approach offers a scalable pipeline to support the early phases of drug discovery, understanding of mechanisms, and potentially inform the positioning of therapeutics in the clinic. |
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650 | _ | 7 | |a chromatin accessibility |2 Other |
650 | _ | 7 | |a computational biology |2 Other |
650 | _ | 7 | |a drug candidate |2 Other |
650 | _ | 7 | |a human |2 Other |
650 | _ | 7 | |a mechanism of action |2 Other |
650 | _ | 7 | |a multi-omics |2 Other |
650 | _ | 7 | |a sensitivity ML prediction |2 Other |
650 | _ | 7 | |a systems biology |2 Other |
650 | _ | 7 | |a transcriptome |2 Other |
650 | _ | 7 | |a Chromatin |2 NLM Chemicals |
650 | _ | 7 | |a RNA |0 63231-63-0 |2 NLM Chemicals |
650 | _ | 7 | |a Transposases |0 EC 2.7.7.- |2 NLM Chemicals |
650 | _ | 2 | |a Chromatin |2 MeSH |
650 | _ | 2 | |a Precision Medicine |2 MeSH |
650 | _ | 2 | |a RNA |2 MeSH |
650 | _ | 2 | |a Transcriptome |2 MeSH |
650 | _ | 2 | |a Transposases: metabolism |2 MeSH |
700 | 1 | _ | |a Bonaguro, Lorenzo |0 P:(DE-2719)9001512 |b 1 |u dzne |
700 | 1 | _ | |a Schulte-Schrepping, Jonas |0 P:(DE-2719)9001500 |b 2 |u dzne |
700 | 1 | _ | |a Horne, Arik |0 P:(DE-2719)9002161 |b 3 |u dzne |
700 | 1 | _ | |a Oestreich, Marie |0 P:(DE-2719)9002070 |b 4 |u dzne |
700 | 1 | _ | |a Warnat-Herresthal, Stefanie |0 P:(DE-2719)9001511 |b 5 |u dzne |
700 | 1 | _ | |a Helbing, Tim |0 0000-0002-1284-3254 |b 6 |
700 | 1 | _ | |a De Franco, Michele |b 7 |
700 | 1 | _ | |a Händler, Kristian |0 P:(DE-2719)2812735 |b 8 |u dzne |
700 | 1 | _ | |a Mukherjee, Sach |0 P:(DE-2719)2811372 |b 9 |u dzne |
700 | 1 | _ | |a Ulas, Thomas |0 P:(DE-2719)9000845 |b 10 |u dzne |
700 | 1 | _ | |a Gandin, Valentina |b 11 |
700 | 1 | _ | |a Goettlich, Richard |b 12 |
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700 | 1 | _ | |a Schultze, Joachim L |0 P:(DE-2719)2811660 |b 14 |u dzne |
700 | 1 | _ | |a Gatto, Barbara |0 0000-0001-9465-6913 |b 15 |
773 | _ | _ | |a 10.7554/eLife.78012 |g Vol. 11, p. e78012 |0 PERI:(DE-600)2687154-3 |p e78012 |t eLife |v 11 |y 2022 |x 2050-084X |
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