Drosophila as a model system to study nonautonomous mechanisms affecting tumour growth and cell death [PDF]
, 2018 The study of cancer has represented a central focus in medical research for over a century. The great complexity and constant evolution of the pathology require the use of multiple research model systems and interdisciplinary approaches.
Cordero, Julia B. +2 more
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iScience, 2022 Summary: Autoimmune diseases (ADs) are at a significantly higher risk of cancers with unclear mechanism. By searching GWAS catalog database and Medline, susceptible genes for five common ADs, including systemic lupus erythematosus (SLE), rheumatoid ...
Shasha Li +10 more
doaj +1 more source
Embryonic stem cell-specific signatures in cancer: insights into genomic regulatory networks and implications for medicine [PDF]
, 2011 Embryonic stem (ES) cells are of great interest as a model system for studying early developmental processes and because of their potential therapeutic applications in regenerative medicine.
Kim, Jonghwan, Orkin, Stuart
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Cyclin-dependent kinases as drug targets for cell growth and proliferation disorders. A role for systems biology approach in drug development. Part II - CDKs as drug targets in hypertrophic cell growth. Modelling of drugs targeting CDKs [PDF]
, 2012 Cyclin-dependent kinases (CDKs) are key regulators of cell growth and proliferation. Impaired regulation of their activity leads to various diseases such as cancer and heart hypertrophy.
Idowu, Michael A.
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Biomarker-Drug and Liquid Biopsy Co-development for Disease Staging and Targeted Therapy: Cornerstones for Alzheimer's Precision Medicine and Pharmacology. [PDF]
, 2019 Systems biology studies have demonstrated that different (epi)genetic and pathophysiological alterations may be mapped onto a single tumor's clinical phenotype thereby revealing commonalities shared by cancers with divergent phenotypes.
Goetzl, Edward J +4 more
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Cell-to-cell variability in cell death: can systems biology help us make sense of it all? [PDF]
, 2014 One of the most common observations in cell death assays is that not all cells die at the same time, or at the same treatment dose. Here, using the perspective of the systems biology of apoptosis and the context of cancer treatment, we discuss possible ...
Gaudet, S, Lee, R E C, Owen, M S, Xia, X
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Combining Bayesian Approaches and Evolutionary Techniques for the Inference of Breast Cancer Networks [PDF]
, 2016 Gene and protein networks are very important to model complex large-scale systems in molecular biology. Inferring or reverseengineering such networks can be defined as the process of identifying gene/protein interactions from experimental data through ...
Beretta, Stefano +4 more
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Nature Communications, 2016 Phenotypic and genetic intra-tumor heterogeneity have an important role in cancer progression and therapeutic resistance. Here, the authors show that phenotypically variable tumor subpopulations exhibit higher metastatic potential and display enhanced ...
Alexander Nguyen +3 more
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Systems Biology of the Cancer Cell
Annual Review of Biomedical EngineeringQuestions in cancer have engaged systems biologists for decades. During that time, the quantity of molecular data has exploded, but the need for abstractions, formal models, and simplifying insights has remained the same. This review brings together classic breakthroughs and recent findings in the field of cancer systems biology, focusing on cancer ...
Kevin A, Janes, Matthew J, Lazzara
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Systems Biology: Confronting the Complexity of Cancer [PDF]
Cancer Research, 2011 Abstract The AACR-NCI Conference “Systems Biology: Confronting the Complexity of Cancer” took place from February 27 to March 2, 2011, in San Diego, CA. Several themes resonated during the meeting, notably (i) the need for better methods to distill insights from large-scale networks, (ii) the importance of integrating multiple data types
Andrew J, Gentles, Daniel, Gallahan
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