Multi Omics Applications in Biological Systems

Author:

Gutierrez Reyes Cristian D.1ORCID,Alejo-Jacuinde Gerardo2ORCID,Perez Sanchez Benjamin2ORCID,Chavez Reyes Jesus3,Onigbinde Sherifdeen1ORCID,Mogut Damir4ORCID,Hernández-Jasso Irma3,Calderón-Vallejo Denisse3,Quintanar J. Luis3,Mechref Yehia1ORCID

Affiliation:

1. Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX 79409, USA

2. Department of Plant and Soil Science, Institute of Genomics for Crop Abiotic Stress Tolerance (IGCAST), Texas Tech University, Lubbock, TX 79409, USA

3. Center of Basic Sciences, Department of Physiology and Pharmacology, Autonomous University of Aguascalientes, Aguascalientes 20392, Mexico

4. Department of Food Biochemistry, Faculty of Food Science, University of Warmia and Mazury in Olsztyn, 10-719 Olsztyn, Poland

Abstract

Traditional methodologies often fall short in addressing the complexity of biological systems. In this regard, system biology omics have brought invaluable tools for conducting comprehensive analysis. Current sequencing capabilities have revolutionized genetics and genomics studies, as well as the characterization of transcriptional profiling and dynamics of several species and sample types. Biological systems experience complex biochemical processes involving thousands of molecules. These processes occur at different levels that can be studied using mass spectrometry-based (MS-based) analysis, enabling high-throughput proteomics, glycoproteomics, glycomics, metabolomics, and lipidomics analysis. Here, we present the most up-to-date techniques utilized in the completion of omics analysis. Additionally, we include some interesting examples of the applicability of multi omics to a variety of biological systems.

Funder

National Institutes of Health, NIH

Robert A. Welch Foundation

The CH Foundation

Minister of Education and Science

Publisher

MDPI AG

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