Genetically encoded fluorescent biosensors illuminate the spatiotemporal regulation of signaling networks
Cellular signaling networks are the foundation which determines the fate and function of
cells as they respond to various cues and stimuli. The discovery of fluorescent proteins over …
cells as they respond to various cues and stimuli. The discovery of fluorescent proteins over …
The extracellular matrix as a key regulator of intracellular signalling networks
JF Hastings, JN Skhinas, D Fey… - British journal of …, 2019 - Wiley Online Library
The extracellular matrix (ECM) is a salient feature of all solid tissues within the body. This
complex, acellular entity is composed of hundreds of individual molecules whose assembly …
complex, acellular entity is composed of hundreds of individual molecules whose assembly …
Control of cell state transitions
Understanding cell state transitions and purposefully controlling them is a longstanding
challenge in biology. Here we present cell state transition assessment and regulation …
challenge in biology. Here we present cell state transition assessment and regulation …
CAF hierarchy driven by pancreatic cancer cell p53-status creates a pro-metastatic and chemoresistant environment via perlecan
Heterogeneous subtypes of cancer-associated fibroblasts (CAFs) coexist within pancreatic
cancer tissues and can both promote and restrain disease progression. Here, we interrogate …
cancer tissues and can both promote and restrain disease progression. Here, we interrogate …
Computational models for predicting drug responses in cancer research
F Azuaje - Briefings in bioinformatics, 2017 - academic.oup.com
The computational prediction of drug responses based on the analysis of multiple types of
genome-wide molecular data is vital for accomplishing the promise of precision medicine in …
genome-wide molecular data is vital for accomplishing the promise of precision medicine in …
From word models to executable models of signaling networks using automated assembly
Word models (natural language descriptions of molecular mechanisms) are a common
currency in spoken and written communication in biomedicine but are of limited use in …
currency in spoken and written communication in biomedicine but are of limited use in …
Computational models for clinical applications in personalized medicine—guidelines and recommendations for data integration and model validation
The future development of personalized medicine depends on a vast exchange of data from
different sources, as well as harmonized integrative analysis of large-scale clinical health …
different sources, as well as harmonized integrative analysis of large-scale clinical health …
Machine learning and data mining frameworks for predicting drug response in cancer: An overview and a novel in silico screening process based on association rule …
A major challenge in cancer treatment is predicting the clinical response to anti-cancer
drugs on a personalized basis. The success of such a task largely depends on the ability to …
drugs on a personalized basis. The success of such a task largely depends on the ability to …
Integrating mechanism-based modeling with biomedical imaging to build practical digital twins for clinical oncology
Digital twins employ mathematical and computational models to virtually represent a
physical object (eg, planes and human organs), predict the behavior of the object, and …
physical object (eg, planes and human organs), predict the behavior of the object, and …
Integrated molecular characterisation of the MAPK pathways in human cancers reveals pharmacologically vulnerable mutations and gene dependencies
The mitogen-activated protein kinase (MAPK) pathways are crucial regulators of the cellular
processes that fuel the malignant transformation of normal cells. The molecular aberrations …
processes that fuel the malignant transformation of normal cells. The molecular aberrations …