Endothelial cell metabolism
G Eelen, P de Zeeuw, L Treps, U Harjes… - Physiological …, 2018 - journals.physiology.org
Endothelial cells (ECs) are more than inert blood vessel lining material. Instead, they are
active players in the formation of new blood vessels (angiogenesis) both in health and (life …
active players in the formation of new blood vessels (angiogenesis) both in health and (life …
From cultured to uncultured genome sequences: metagenomics and modeling microbial ecosystems
Microorganisms and the viruses that infect them are the most numerous biological entities
on Earth and enclose its greatest biodiversity and genetic reservoir. With strength in their …
on Earth and enclose its greatest biodiversity and genetic reservoir. With strength in their …
Single-cell RNA sequencing maps endothelial metabolic plasticity in pathological angiogenesis
Endothelial cell (EC) metabolism is an emerging target for anti-angiogenic therapy in tumor
angiogenesis and choroidal neovascularization (CNV), but little is known about individual …
angiogenesis and choroidal neovascularization (CNV), but little is known about individual …
What are housekeeping genes?
The concept of “housekeeping gene” has been used for four decades but remains loosely
defined. Housekeeping genes are commonly described as “essential for cellular existence …
defined. Housekeeping genes are commonly described as “essential for cellular existence …
Reconstruction of tissue-specific metabolic networks using CORDA
Human metabolism involves thousands of reactions and metabolites. To interpret this
complexity, computational modeling becomes an essential experimental tool. One of the …
complexity, computational modeling becomes an essential experimental tool. One of the …
Enhanced flux prediction by integrating relative expression and relative metabolite abundance into thermodynamically consistent metabolic models
The ever-increasing availability of transcriptomic and metabolomic data can be used to
deeply analyze and make ever-expanding predictions about biological processes, as …
deeply analyze and make ever-expanding predictions about biological processes, as …
[HTML][HTML] Using metabolic networks to resolve ecological properties of microbiomes
The systematic collection, integration and modelling of high-throughput molecular data
(multi-omics) allows the detailed characterisation of microbiomes in situ. Through metabolic …
(multi-omics) allows the detailed characterisation of microbiomes in situ. Through metabolic …
[HTML][HTML] Advances in flux balance analysis by integrating machine learning and mechanism-based models
The availability of multi-omics data sets and genome-scale metabolic models for various
organisms provide a platform for modeling and analyzing genotype-to-phenotype …
organisms provide a platform for modeling and analyzing genotype-to-phenotype …
Machine learning for the advancement of genome-scale metabolic modeling
Constraint-based modeling (CBM) has evolved as the core systems biology tool to map the
interrelations between genotype, phenotype, and external environment. The recent …
interrelations between genotype, phenotype, and external environment. The recent …
[HTML][HTML] Dynamics in transcriptomics: advancements in RNA-seq time course and downstream analysis
D Spies, C Ciaudo - Computational and structural biotechnology journal, 2015 - Elsevier
Abstract Analysis of gene expression has contributed to a plethora of biological and medical
research studies. Microarrays have been intensively used for the profiling of gene …
research studies. Microarrays have been intensively used for the profiling of gene …