Search results for "Protein network"
showing 5 items of 15 documents
On p21 tracking property in cancer cell unravelled bio-digitally in silico. Are apoptosis principles universal?
2010
Upon severe DNA damage, p21 acts in a dual mode; on the one hand, it inhibits the cyclin-CDK complex for arresting the G2/M transition and on the other hand, it indirectly becomes an apoptotic factor by activating--in sequence--the retinoblastoma protein, E2F1 and APAF1 expressions. But, in a cancer cells proliferation, the mechanisms of, and participants in, the apoptosis failure remain unclear. Since the p21/p53/Mdm2 proteins network normally involves a digital response in a cancer cell, through an original design of a cell signalling-protein simulator, we demonstrate, in silico, that apoptosis phase instability is fully reciprocated by p21 mRNA irregular dynamics which operates according…
The role of sulfur nutrition in the pea response to drought
2016
International audience
Digital control circuitry for the p53 dynamics in cancer cell and apoptosis
2010
Abstract Experimental work and theoretical models deduce a “digital” response of the p53 transcription factor when genomic integrity is damaged. The mutual influence of p53 and its antagonist, the Mdm2 oncogene, is closed in a feedback. This paper proposes an aerospace-based architecture for translating the p53/Mdm2/DNA damage network into a digital circuitry in which the optimal control theory is applied for obtaining the requested dynamic evolutions of some considered cell species for repairing a DNA damage. The purpose of this paper is to demonstrate the usefulness of such digital circuitry design to detect and predict the cell species dynamics for shedding light on their inner and mutua…
Protein Interaction Networks in Health and Disease
2016
Proteomics in antitumor research
2006
Proteins are the molecular players of fine-tuned regulatory pathways that underlie the behavior of any cell type. Derangement of this wide protein circuitry has a profound effect on cell life and ultimately contributes to the development of diseases such as cancer. New proteomic technologies are rapidly evolving to define and characterize the nodes of this altered protein network, both inside and outside cancer cells. Hopefully, these technologies will become user-friendly laboratory tools to improve cancer management from early detection to the development of rational and patient-tailored therapeutic strategies.