This book covers liquid chromatography, gas chromatography and capillary electrophoresis, the three main separation techniques lately available, applied to key omic sciences, such as genomics, proteomics, metabolomics and foodomics. The fundamentals of each technique are not covered herein. Instead, the recent advances in such techniques are presented focusing on the application to omics analyses and unique aspects in each case. This volume intends to offer wide ranging options available to researchers on omics sciences, and how to integrate them in order to achieve the comprehension of a biological system as a whole.Omic sciences have been of ultimate importance to comprehend the complex biochemical reactions and related events that occurs upon a biological system. The classical central dogma of molecular biology, which states that genetic information flows unidirectionally from DNA to RNA and then to proteins, has been gradually replaced by the systems biology approach. This book presents a multidisciplinary approach that explains the biological system as a whole, where the entire organism is influenced by a variety of internal events as well as by the environment, showing that each level of the biological information flux may influence the previous or the subsequent one.
The new omics era into systems approaches: what is the importance of separation techniques?.- Biological Applications for LC-MS-Based Proteomics.- The role of chromatographic and electromigration techniques in Foodomics.- CE-MS for proteomics and intact protein analysis.- Peptidomics and Capillary Electrophoresis.- Discovery of native protein complexes by liquid chromatography followed by quantitative mass spectrometry.- Capillary electrophoresis based N-Glycosylation analysis in the biomedical and biopharmaceutical fields.- Practical considerations in method development for gas chromatography-based metabolomic profiling.- Capillary electrophoresis-mass spectrometry for metabolomics: possibilities and perspectives.- Liquid Chromatography – Mass Spectrometry for Clinical Metabolomics: An Overview.- Analytical platforms for mass spectrometry-based metabolomics of polar and ionizable metabolites.- Metabolomic data treatment: basic directions of the full process.- Index.
Ana Valéria Colnaghi Simionato is an associate professor at Institute of Chemistry of Unicamp. She advises scientific initiation, masters and doctorate students as well as supervises post-doctorate researches in projects related to the investigation of biomolecules or pharmaceuticals compounds in several sample matrices, such as: culture media, blood serum, urine, saliva, medicines and meat using a metabolomics approaches. The instrumental techniques used for this purpose include capillary electrophoresis, liquid chromatography, gas chromatography and mass spectrometry. She is also part of the National Institute of Science and Technology in Bioanalytics.
This book covers liquid chromatography, gas chromatography and capillary electrophoresis, the three main separation techniques lately available, applied to key omic sciences, such as genomics, proteomics, metabolomics and foodomics. The fundamentals of each technique are not covered herein. Instead, the recent advances in such techniques are presented focusing on the application to omics analyses and unique aspects in each case. This volume intends to offer wide ranging options available to researchers on omics sciences, and how to integrate them in order to achieve the comprehension of a biological system as a whole.
Omic sciences have been of ultimate importance to comprehend the complex biochemical reactions and related events that occurs upon a biological system. The classical central dogma of molecular biology, which states that genetic information flows unidirectionally from DNA to RNA and then to proteins, has been gradually replaced by the systems biology approach. This book presents a multidisciplinary approach that explains the biological system as a whole, where the entire organism is influenced by a variety of internal events as well as by the environment, showing that each level of the biological information flux may influence the previous or the subsequent one.