Researchers in the US, China and Taiwan have developed a new
systems biology model that mimics the process of wood formation, allowing scientists to predict the effects of switching on and off the 21 (at least) pathway genes involved in producing lignin, a primary component of wood.
The researchers developed algorithms to use in a «
systems biology modeling cycle,» in which they repeatedly fit a model to gene expression data obtained from laboratory experiments until a good fit was obtained between the predicted and the measured outcomes.
Not exact matches
Ayyadurai bases his claims on
systems biology, a computational
model that looks at
biology as a whole, rather than individual components.
Computer simulations have become a useful part of mathematical
modelling of many natural
systems in physics, chemistry and
biology, human
systems in economics, psychology, and social science and in the process of engineering new technology, to gain insight into the operation of those
systems.
Fussenegger's group developed the genetic network; Professor of Biosystems Engineering Andreas Hierlemann and his team tested the acidity sensor with the aid of microfluidic platforms; and Jörg Stelling, a professor of computational
systems biology,
modelled it in order to estimate the dynamics of the insulin production.
«I wanted to do
modeling of molecular
biology and find out how we should put these networks of genes together conceptually to understand living
systems.
The contributors offer a synthesis of nearly 50 years of research on a classic
model system for population
biology, the Soay sheep of Hirta.
The authors believe that these tools and methods will lay the foundation for crucial breakthroughs in the flatworm
model system and in our understanding of stem cell
biology and the process of regeneration.
«In our human airway epithelial
model system, one of the drugs destabilizes and deactivates the protein that the other drug tries to correct,» said Martina Gentzsch, PhD, an assistant professor of cell
biology and physiology and senior author of the UNC Science Translational Medicine paper.
Borenstein and his team use a
systems biology approach and apply sophisticated computer
modeling to understand the structure, function, and dynamics of the microbiome.
Cucumber is a major vegetable crop consumed worldwide as well as a
model system for sex determination and plant vascular
biology.
(Although climate
models have critics, they reflect our best ability to describe how the climate
system works, based on physics, chemistry and
biology.
This webinar will discuss how integrated HCS imaging
systems that have been coupled with novel computer
modeling are being applied to
systems biology, translational cancer research, and personalized medicine.
The HHMI grants confirm Arabidopsis «is still the Rolls Royce of
model systems in plant
biology,» says Dangl.
So the more that we can understand the human validation of our targets and perhaps even build
model systems that take advantage of human
biology,» the better off we'll be, he says.
«As far as we know, this is the first time anyone has used an insect
system as a
model for NIHL (noise - induced hearing loss),» says Daniel Eberl, UI
biology professor and corresponding author on the study.
Working on Arabidopsis, a
model plant used widely in plant
biology labs, Cutler and his colleagues focused their efforts on tinkering with one of the plant endogenous
systems involved in drought responses.
The approach combined experimental synthetic
biology led by Mark Isalan, now Reader in Gene Network Engineering at the Department of Life Sciences of Imperial College London with computational
modelling led by James Sharpe, ICREA Research Professor and head of the Multicellular
Systems Biology lab at the CRG.
Overall, this work illustrates that better understanding the basic
biology of the immune
system in preclinical
models may open up a window for the development of novel treatments for human autoimmune disease.
The current group of centers, residing at universities and medical research facilities across the country, addresses fields such as
systems biology, image processing, and biophysical
modeling, all of which are related to computational neuroscience.
The research group, led by Erika Matunis, Ph.D., a professor of cell
biology at the Johns Hopkins University School of Medicine, has been using the fruit fly as a
model living
system in which to study stem cells in their natural state.
To achieve such integration, Tara Oceans is driven by researchers with expertise in biological and physical oceanography, ecology, microbiology, systematics, molecular, cellular and
systems biology, bioinformatics, data management, and
modeling.
-- In silico basic and
systems biology: We develop innovative approaches to reverse engineer biological networks from omics data,
model tumor progression at the genomic, transcriptomic and epigenetic level, automatically annotate new proteins and functional elements through integration of complex and heterogeneous data, including data obtained from high - throughput sequencing or time - lapse video - microscopy.
Model systems, such as the mammalian gut bacterium E. coli for microbiology and the fruit fly for biomedicine, have been invaluable for deciphering complex
biology.
Research Interests: Inflammatory bowel disease (IBD); Crohn's disease; ulcerative colitis; animal
models of IBD; mucosal T - cell death and survival; tolerance to gut microbiota; interactions between immune and non-immune cells; immune - driven angiogenesis and lymphangiogenesis; intestinal fibrosis; intestinal myofibroblasts, extracellular matrix;
systems biology; complex diseases
Systems biology research will aim to identify and validate mathematical
models that can accurately predict interactions between immune
system components in relation to vaccination, as well as develop state - of - the - art methods for the structural and functional analysis of vaccine candidates.
The resulting data are being combined in a
systems biology approach with high - resolution clinical phenotyping and findings obtained with a large array of established and novel in vitro, ex vivo and in vivo disease
models to identify disease - associated genetic variants, disease - defining molecular signatures, and potential targets for therapeutic intervention.
The Bergthaler laboratory pursues an integrative approach comprising infection
models and tools of immunology, pathology and
systems biology in order to dissect novel disease - relevant interactions between pathogens and the host.
Currently, researchers have access to powerful tools in
biology to help them understand the ocean, such as microscopy and DNA sequencing, but are lacking essential tools in genetics to make robust experimental
model systems.
Using the cichlid fish species as a
model system gives us valuable insight into human
biology and disease.
In addition, the
systems biology research will heavily support the activities to improve the predictability of animal
models.
We study the cell
biology, binding proteins, structure and regulation of these important enzymes, using neuroendocrine cell lines as
model systems.
«It validates the approach of using even very distant
model systems, such as the fly, to study human
biology.
The authors note that the formation of each different organ bud type may require some fine tuning to optimize tissue self - organization, and further addition of neural cell types may be necessary, but this research may soon provide exciting
model systems for the study of basic
biology and pathology as well as providing appropriate replacement tissues for the treatment of many patients with no other viable options.
For understanding the
biology of gene - gene, gene - drug and gene - microenvironment interactions, a considerably broader range of in vitro and in vivo
model systems is required — we are generating 1,000 organoid cultures from human cancers, characterising their genomes, functional dependencies and drug response, and we are expanding our in vivo
models to study the interface between cancer and the immune
system and microenvironment.
Objective: To provide data - driven and computational infrastructures and data - sharing platforms to support large - scale,
system - level data integration and
modeling, and enable predictive
biology for pathogens and host - pathogen interactions for discovery research, clinical investigation, and therapeutic development for infectious diseases.
His research utilizes molecular
biology, cell culture, and animal
models to study your body's cannabinoid
system in an attempt to further our understanding of Cannabis as a medicine, and possibly lead to the development of new drug compounds.»
Science - fisheries, natural resource management, fish behavior, fish
biology, conservation; education - science, grades 6 - 12,
biology, citizen science, public participation in research,
model and
systems thinking, evidence - based reasoning; social science - communication, anthropology, human dimensions, risk perception / communication.
Approaches successful in other
systems, such as
modeling signal transduction and synthetic
biology methodologies [32] could improve future generations of detector plants by enhancing signal transmission and providing means to deal with biological «noise».
Sciara surfaced again in 1970 — 71 when Sydney Brenner spent two years in the library trying to figure out a good
model system for developmental
biology.
Thanks to genome sequencing and other methods there's been an explosion of emerging
model systems where one can now reap the benefits of studying unique aspects of
biology.
Systems biology aims to study complex cellular systems by systematically stimulating them, monitoring cellular responses, formulating mathematical and computational models to understand the data, and proposing new experiments to refine these
Systems biology aims to study complex cellular
systems by systematically stimulating them, monitoring cellular responses, formulating mathematical and computational models to understand the data, and proposing new experiments to refine these
systems by systematically stimulating them, monitoring cellular responses, formulating mathematical and computational
models to understand the data, and proposing new experiments to refine these
models.
Systems biology aims to fit equations to living matter, creating mathematical
models that promise new insight into disease and cures.
We will consider studies from any
model system that provides insights into stem cell
biology, and we encourage submissions on human stem cells.
Chlamydomonas is used as a
model system for research on many very fundamental questions in cell and molecular
biology: how do cells move?
An international group of scientists from 6 countries bring together their expertise to develop a combined experimental and
systems biology platform for predictive
modelling of cancer signalling.
In Entamoeba invadens, stage conversion can be induced, but its utility as a
model system to study developmental
biology has been limited by a lack of genomic resources.
memory process; hippocampo - cortical interactions; cholinergic
system; glutamatergic
system; Cellular and molecular
biology; hippocampal neurogenesis; animal
models of Alzheimer's disease; animal
models of schizophrenia
Topics covered include embryonic stem cells, pluripotency, germline stem cells, tissue - specific stem cells, stem cell differentiation, epigenetics, stem cell genomics and
systems biology, genome reprogramming, cancer stem cells, stem cell niches, stem - cell - based disease
models, nuclear transfer technology, bioengineering, drug discovery, in vivo imaging of stem cells, therapeutic applications, regenerative medicine, clinical and translational insights, stem cell research policies, ethical issues, and technical or resource - based innovations.
The researchers first discovered ascarosides as a signaling molecule in C. elegans, a nematode used as a
model organism to study cell, developmental and nervous
system biology, as well as human aging and diabetes.