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 …

The enigma of ceramide synthase regulation in mammalian cells

MS Wegner, S Schiffmann, MJ Parnham… - Progress in lipid …, 2016 - Elsevier
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 …

Systems toxicology: from basic research to risk assessment

SJ Sturla, AR Boobis, RE FitzGerald… - Chemical research in …, 2014 - ACS Publications
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-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 …

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 …

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 …

A six‐stage workflow for robust application of systems pharmacology

K Gadkar, DC Kirouac, DE Mager… - CPT …, 2016 - Wiley Online Library
Quantitative and systems pharmacology (QSP) is increasingly being applied in
pharmaceutical research and development. One factor critical to the ultimate success of QSP …

Blood transcriptomics and metabolomics for personalized medicine

S Li, A Todor, R Luo - Computational and structural biotechnology journal, 2016 - Elsevier
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 …

Data-driven reverse engineering of signaling pathways using ensembles of dynamic models

D Henriques, AF Villaverde, M Rocha… - PLoS computational …, 2017 - journals.plos.org
Despite significant efforts and remarkable progress, the inference of signaling networks from
experimental data remains very challenging. The problem is particularly difficult when the …

Systems biological approaches to measure and understand vaccine immunity in humans

S Li, HI Nakaya, DA Kazmin, JZ Oh… - Seminars in immunology, 2013 - Elsevier
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 …