Ceramides as novel disease biomarkers
J Kurz, MJ Parnham, G Geisslinger… - Trends in molecular …, 2019 - cell.com
Ceramides are sphingolipids and integral components of the eukaryotic cell membrane.
Apart from providing structural integrity, ceramides have also been shown to act as second …
Apart from providing structural integrity, ceramides have also been shown to act as second …
The enigma of ceramide synthase regulation in mammalian cells
Ceramide synthases (CerS) are key enzymes in the lipid metabolism of eukaryotic cells.
Their products, ceramides (Cer), are components of cellular membranes but also mediate …
Their products, ceramides (Cer), are components of cellular membranes but also mediate …
Systems toxicology: from basic research to risk assessment
Systems Toxicology is the integration of classical toxicology with quantitative analysis of
large networks of molecular and functional changes occurring across multiple levels of …
large networks of molecular and functional changes occurring across multiple levels of …
Large-scale identification of clinical and genetic predictors of motor progression in patients with newly diagnosed Parkinson's disease: a longitudinal cohort study and …
JC Latourelle, MT Beste, TC Hadzi, RE Miller… - The Lancet …, 2017 - thelancet.com
Background Better understanding and prediction of progression of Parkinson's disease
could improve disease management and clinical trial design. We aimed to use longitudinal …
could improve disease management and clinical trial design. We aimed to use longitudinal …
Reverse engineering and evaluation of prediction models for progression to type 2 diabetes: an application of machine learning using electronic health records
JP Anderson, JR Parikh, DK Shenfeld… - Journal of diabetes …, 2016 - journals.sagepub.com
Background: Application of novel machine learning approaches to electronic health record
(EHR) data could provide valuable insights into disease processes. We utilized this …
(EHR) data could provide valuable insights into disease processes. We utilized this …
Bayesian network inference modeling identifies TRIB1 as a novel regulator of cell-cycle progression and survival in cancer cells
R Gendelman, H Xing, OK Mirzoeva, P Sarde, C Curtis… - Cancer research, 2017 - AACR
Molecular networks governing responses to targeted therapies in cancer cells are complex
dynamic systems that demonstrate nonintuitive behaviors. We applied a novel …
dynamic systems that demonstrate nonintuitive behaviors. We applied a novel …
A six‐stage workflow for robust application of systems pharmacology
Quantitative and systems pharmacology (QSP) is increasingly being applied in
pharmaceutical research and development. One factor critical to the ultimate success of QSP …
pharmaceutical research and development. One factor critical to the ultimate success of QSP …
Blood transcriptomics and metabolomics for personalized medicine
Molecular analysis of blood samples is pivotal to clinical diagnosis and has been intensively
investigated since the rise of systems biology. Recent developments have opened new …
investigated since the rise of systems biology. Recent developments have opened new …
Data-driven reverse engineering of signaling pathways using ensembles of dynamic models
Despite significant efforts and remarkable progress, the inference of signaling networks from
experimental data remains very challenging. The problem is particularly difficult when the …
experimental data remains very challenging. The problem is particularly difficult when the …
Systems biological approaches to measure and understand vaccine immunity in humans
Recent studies have demonstrated the utility of using systems approaches to identify
molecular signatures that can be used to predict vaccine immunity in humans. Such …
molecular signatures that can be used to predict vaccine immunity in humans. Such …