دورية أكاديمية
ATLANTIS - Attractor Landscape Analysis Toolbox for Cell Fate Discovery and Reprogramming
العنوان: | ATLANTIS - Attractor Landscape Analysis Toolbox for Cell Fate Discovery and Reprogramming |
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المؤلفون: | Osama Shiraz Shah, Muhammad Faizyab Ali Chaudhary, Hira Anees Awan, Fizza Fatima, Zainab Arshad, Bibi Amina, Maria Ahmed, Hadia Hameed, Muhammad Furqan, Shareef Khalid, Amir Faisal, Safee Ullah Chaudhary |
المصدر: | Scientific Reports, Vol 8, Iss 1, Pp 1-11 (2018) |
بيانات النشر: | Nature Portfolio, 2018. |
سنة النشر: | 2018 |
المجموعة: | LCC:Medicine LCC:Science |
مصطلحات موضوعية: | Medicine, Science |
الوصف: | Abstract Boolean modelling of biological networks is a well-established technique for abstracting dynamical biomolecular regulation in cells. Specifically, decoding linkages between salient regulatory network states and corresponding cell fate outcomes can help uncover pathological foundations of diseases such as cancer. Attractor landscape analysis is one such methodology which converts complex network behavior into a landscape of network states wherein each state is represented by propensity of its occurrence. Towards undertaking attractor landscape analysis of Boolean networks, we propose an Attractor Landscape Analysis Toolbox (ATLANTIS) for cell fate discovery, from biomolecular networks, and reprogramming upon network perturbation. ATLANTIS can be employed to perform both deterministic and probabilistic analyses. It has been validated by successfully reconstructing attractor landscapes from several published case studies followed by reprogramming of cell fates upon therapeutic treatment of network. Additionally, the biomolecular network of HCT-116 colorectal cancer cell line has been screened for therapeutic evaluation of drug-targets. Our results show agreement between therapeutic efficacies reported by ATLANTIS and the published literature. These case studies sufficiently highlight the in silico cell fate prediction and therapeutic screening potential of the toolbox. Lastly, ATLANTIS can also help guide single or combinatorial therapy responses towards reprogramming biomolecular networks to recover cell fates. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 2045-2322 |
Relation: | https://doaj.org/toc/2045-2322 |
DOI: | 10.1038/s41598-018-22031-3 |
URL الوصول: | https://doaj.org/article/2f7851b8e389489cae1ee358c76f0e63 |
رقم الأكسشن: | edsdoj.2f7851b8e389489cae1ee358c76f0e63 |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 20452322 |
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DOI: | 10.1038/s41598-018-22031-3 |