Nanotechnology-Based Studies in Systems Biology

2018 ◽  
pp. 911-926
Author(s):  
Priti Talwar ◽  
Madhumathi Manickam ◽  
Namrata Chaudhari ◽  
Palaniyandi Ravanan
Keyword(s):  
Systems Biology ◽  
Biological System ◽  
State Of The Art

In recent years, nanotechnology-based studies have been employed in the area of systems biology. The current chapter aims to give a concise view of this emergent field of research, namely nano systems biology. A large number of such studies are based on understanding surface reactivities of a biological system. Another stream of studies is focused on imaging approaches using nano systems biology. In this chapter, the authors also illustrate state-of-the-art work using these approaches in nanomedicine.

Nanotechnology-Based Studies in Systems Biology

2015 ◽  
pp. 566-580
Author(s):  
Priti Talwar ◽  
Madhumathi Manickam ◽  
Namrata Chaudhari ◽  
Palaniyandi Ravanan
Keyword(s):  
Systems Biology ◽  
Biological System ◽  
State Of The Art

In recent years, nanotechnology-based studies have been employed in the area of systems biology. The current chapter aims to give a concise view of this emergent field of research, namely nano systems biology. A large number of such studies are based on understanding surface reactivities of a biological system. Another stream of studies is focused on imaging approaches using nano systems biology. In this chapter, the authors also illustrate state-of-the-art work using these approaches in nanomedicine.

Data Analysis and Interpretation in Metabolomics

2013 ◽  
pp. 1494-1521
Author(s):  
Jose M. Garcia-Manteiga
Keyword(s):  
Mass Spectrometry ◽  
Nuclear Magnetic Resonance ◽  
Data Analysis ◽  
Systems Biology ◽  
Magnetic Resonance ◽  
Biological System ◽  
Analytical Techniques ◽  
Point Of View ◽  
The Other ◽  
Top Down

Metabolomics represents the new ‘omics’ approach of the functional genomics era. It consists in the identification and quantification of all small molecules, namely metabolites, in a given biological system. While metabolomics refers to the analysis of any possible biological system, metabonomics is specifically applied to disease and physiopathological situations. The data collected within these approaches is highly integrative of the other higher levels and is hence amenable to be explored with a top-down systems biology point of view. The aim of this chapter is to give a global view of the state of the art in metabolomics describing the two analytical techniques usually used to give rise to this kind of data, nuclear magnetic resonance, NMR, and mass spectrometry. In addition, the author will focus on the different data analysis tools that can be applied to such studies to extract information with special interest at the attempts to integrate metabolomics with other ‘omics’ approaches and its relevance in systems biology modeling.

Data Analysis and Interpretation in Metabolomics

2011 ◽  
pp. 29-56
Author(s):  
Jose M. Garcia-Manteiga
Keyword(s):  
Mass Spectrometry ◽  
Nuclear Magnetic Resonance ◽  
Data Analysis ◽  
Systems Biology ◽  
Magnetic Resonance ◽  
Biological System ◽  
Analytical Techniques ◽  
Point Of View ◽  
The Other ◽  
Top Down

Metabolomics represents the new ‘omics’ approach of the functional genomics era. It consists in the identification and quantification of all small molecules, namely metabolites, in a given biological system. While metabolomics refers to the analysis of any possible biological system, metabonomics is specifically applied to disease and physiopathological situations. The data collected within these approaches is highly integrative of the other higher levels and is hence amenable to be explored with a top-down systems biology point of view. The aim of this chapter is to give a global view of the state of the art in metabolomics describing the two analytical techniques usually used to give rise to this kind of data, nuclear magnetic resonance, NMR, and mass spectrometry. In addition, the author will focus on the different data analysis tools that can be applied to such studies to extract information with special interest at the attempts to integrate metabolomics with other ‘omics’ approaches and its relevance in systems biology modeling.

The usefulness of post-genomics tools for characterization of the amine cross-talk in mammalian cells

2007 ◽  
Vol 35 (2) ◽  
pp. 381-385 ◽  
Author(s):  
F. Sánchez-Jiménez ◽  
R. Montañez ◽  
F. Correa-Fiz ◽  
P. Chaves ◽  
C. Rodríguez-Caso ◽  
...  
Keyword(s):  
Systems Biology ◽  
Mathematical Models ◽  
Mammalian Cells ◽  
State Of The Art ◽  
Molecular Approaches ◽  
Amine Metabolism ◽  
Genomics Tools ◽  
Stored Information

Evidence is growing in favour of a relationship between cancer and chronic inflammation, and particularly of the role of a polyamine and histamine metabolic interplay involved in these physiopathological problems, which are indeed highly complex biological systems. Decodification of the complex inter- and intra-cellular signalling mechanisms that control these effects is not an easy task, which must be helped by systems biology technologies, including new tools for location and integration of database-stored information and predictive mathematical models, as well as functional genomics and other experimental molecular approaches necessary for hypothesis validation. We review the state of the art and present our latest efforts in this area, focused on the amine metabolism field.

Study on the Dynamic Models of Systems Biology from the View of Engineering

2012 ◽  
Vol 220-223 ◽  
pp. 952-957
Author(s):  
Chen Liu ◽  
Xiao Yan Liu
Keyword(s):  
Mathematical Model ◽  
Systems Biology ◽  
Dynamic Process ◽  
Biological System ◽  
Dynamic Models ◽  
Model Parameters ◽  
State Variables ◽  
Biochemical Pathway ◽  
The Right ◽  
The Mathematical Model

From the view of engineering, based on expatiating the features of systems biology, the paper discusses the workflows and the research emphasis of systems biology. It also explains how to model and analyze the dynamic process of signal transmitting network for a biological system by an example. Based on the complexity and uncertainty of the mathematical model, the right methods are chosen to realize the effective estimation of state variables and model parameters for the biochemical pathway.

Different Types of Cell Death in Organismal Aging and Longevity: State of the Art and Possible Systems Biology Approach

2008 ◽  
Vol 14 (3) ◽  
pp. 226-236 ◽  
Author(s):  
Claudio Franceschi ◽  
Stefano Salvioli ◽  
Miriam Capri ◽  
Paolo Tieri ◽  
Jonathan Loroni ◽  
...  
Keyword(s):  
Cell Death ◽  
Systems Biology ◽  
State Of The Art ◽  
Different Types

Omics sciences for systems biology in Alzheimer’s disease: State-of-the-art of the evidence

2021 ◽  
Vol 69 ◽  
pp. 101346
Author(s):  
Harald Hampel ◽  
Robert Nisticò ◽  
Nicholas T. Seyfried ◽  
Allan I. Levey ◽  
Erica Modeste ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Systems Biology ◽  
State Of The Art ◽  
Disease State

scholarly journals Modelling the Virtual Physiological Human

2011 ◽  
Vol 33 (1) ◽  
pp. 50-51
Author(s):  
Clare Sansom
Keyword(s):  
Systems Biology ◽  
Biological System ◽  
Experimental Analysis ◽  
Biological Systems ◽  
Computational Modelling ◽  
Nobel Laureate ◽  
Philosophy Of Biology ◽  
Bottom Up ◽  
Genome Projects

Systems biology – the theme of this issue of The Biochemist – can be thought of as more a philosophy of biology than a distinct set of techniques. It arose out of, but is distinct from, the genome projects and associated initiatives. The ‘catalogues’ of genes and proteins produced in recent years have generated enormous advances, but they do not tell the whole story. Nobel Laureate Sydney Brenner said in 2001 that “I know one approach that will fail, which is to start with genes, make proteins from them and try to build things bottom-up”1. In contrast with the reductionism of genomics, systems biology is ‘integrative’: as another Nobel Laureate, David Baltimore, writes, “it seeks to understand the integration of the pieces to form biological systems”2. Thus a typical systems biology study will involve both experimental analysis and computational modelling of a biological system at a number of levels: theoretically, at least, including the molecule, the pathway, the organelle, the cell, the tissue or organ, and the organism.

Systems Biology Approaches to Improve Drought Stress Tolerance in Plants: State of the Art and Future Challenges

2016 ◽  
pp. 433-471 ◽  
Author(s):  
José Ricardo Parreira ◽  
Diana Branco ◽  
André M. Almeida ◽  
Anna Czubacka ◽  
Monika Agacka-Mołdoch ◽  
...  
Keyword(s):  
Systems Biology ◽  
Drought Stress ◽  
Stress Tolerance ◽  
State Of The Art ◽  
Drought Stress Tolerance ◽  
Future Challenges

scholarly journals Insights from Systems Biology in Physiological Studies: Learning from Context

2017 ◽  
Vol 42 (3) ◽  
pp. 939-951
Author(s):  
Pedro Henrique Imenez Silva ◽  
Diogo Melo ◽  
Pedro Omori Ribeiro  de Mendonça
Keyword(s):  
Systems Biology ◽  
High Throughput ◽  
Biological System ◽  
Biological Systems ◽  
Experimental Studies ◽  
Holistic View ◽  
Physiological Studies ◽  
High Throughput Experiments

Systems biology presents an integrated view of biological systems, focusing on the relations between elements, whether functional or evolutionary, and providing a rich framework for the comprehension of life. At the same time, many low-throughput experimental studies are performed without influence from this integrated view, whilst high-throughput experiments use low-throughput results in their validation and interpretation. We propose an inversion in this logic, and ask which benefits could be obtained from a holistic view coming from high-throughput studies―and systems biology in particular―in interpreting and designing low-throughput experiments. By exploring some key examples from the renal and adrenal physiology, we try to show that network and modularity theory, along with observed patterns of association between elements in a biological system, can have profound effects on our ability to draw meaningful conclusions from experiments.

Sign in / Sign up

Export Citation Format

Share Document