Results 61 to 70 of about 468,623 (293)
Systems biology and cancer: Promises and perils [PDF]
Systems biology uses systems of mathematical rules and formulas to study complex biological phenomena. In cancer research there are three distinct threads in systems biology research: modeling biology or biophysics with the goal of establishing plausibility or obtaining insights, modeling based on statistics, bioinformatics, and reverse engineering ...
Stuart G, Baker, Barnett S, Kramer
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Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation
Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe +3 more
wiley +1 more source
Systems biology and cancer stem cells [PDF]
Introduction Molecular profiling for cancer classification Molecular profiling of cancer stem cells Emerging technologies for proteome characterization Biomolecular networks in cancer Perspective and concluding remarks AbstractThe identification, purification and characterization of cancer stem cells (CSCs) holds tremendous promise for improving the
Price, Nathan D +4 more
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Patient-Derived Xenografts to Study Cancer Metabolism: When Does X Mark the Spot?
A major goal of cancer research is to understand the requirements for cancer growth and progression that can be exploited to treat patients. Model systems reduce the complexity and heterogeneity of human cancers to explore therapeutic hypotheses, however,
Nabel, Christopher S +1 more
core +1 more source
In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai +9 more
wiley +1 more source
Engineering Simulations for Cancer Systems Biology [PDF]
Computer simulation can be used to inform in vivo and in vitro experimentation, enabling rapid, low-cost hypothesis generation and directing experimental design in order to test those hypotheses. In this way, in silico models become a scientific instrument for investigation, and so should be developed to high standards, be carefully calibrated and ...
James, Bown +8 more
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Systems Biology and Cytokines Potential Role in Lung Cancer Immunotherapy Targeting Autophagic Axis
Lung cancer accounts for the highest number of deaths among men and women worldwide. Although extensive therapies, either alone or in conjunction with some specific drugs, continue to be the principal regimen for evolving lung cancer, significant ...
Riya Khilwani, Shailza Singh
core +1 more source
Structural and biochemical characterisations show that the planar cell polarity (PCP) protein Inturned harbours a unique PDZ‐like domain that does not bind canonical PDZ‐binding motifs (PBMs) like that of another PCP protein Vangl2. In contrast, the apical‐basal polarity protein Scribble contains four PDZ domains that bind Vangl2, but one PDZ domain ...
Stephan Wilmes +4 more
wiley +1 more source
Integration of proteomics into systems biology of cancer [PDF]
AbstractDeciphering the complexity and heterogeneity of cancer, benefits from integration of proteomic level data into systems biology efforts. The opportunities available as a result of advances in proteomic technologies, the successes to date, and the challenges involved in integrating diverse datasets are addressed in this review.
S, Hanash +3 more
openaire +2 more sources
Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley +1 more source

