About this Research Topic
Aging is a major risk factor for multiple diseases, including neurodegenerative diseases, cancer, heart disease, kidney disease, and type II diabetes. With the COVID-19 pandemic, the connection between aging and disease has become particularly important, with most of the severe cases and deaths occurring among the elderly. Currently, most of the medical science is focused not on aging, but on these specific diseases. Instead, efforts should be made to better understand aging biology, which could potentially slow the progression of age-related diseases.
Age affects the biology of an organism on multiple levels, ranging from molecules at the cellular level to inter-cellular communication within tissues, to the physiology of a whole organ. To understand aging biology, it is imperative to learn about this process using a multidisciplinary approach. Systems biology is an emerging field that has the potential to unravel the mysteries of aging biology. Using the power of genomics, transcriptomics, epigenomics, proteomics, and metabolomics, system biology will help in understanding aging in a systematic way.
The aim of this Research Topic is to cover the significance of systematic approaches to studying aging. Areas to be covered in this Topic may include, but not be limited to:
1. Novel high-throughput techniques which can be used to study aging.
2. Omics approaches using model organisms to study aging
3. Biomarkers of aging
4. Data analysis tools to integrate different age-related omics datasets
Age affects the biology of an organism on multiple levels, ranging from molecules at the cellular level to inter-cellular communication within tissues, to the physiology of a whole organ. To understand aging biology, it is imperative to learn about this process using a multidisciplinary approach. Systems biology is an emerging field that has the potential to unravel the mysteries of aging biology. Using the power of genomics, transcriptomics, epigenomics, proteomics, and metabolomics, system biology will help in understanding aging in a systematic way.
The aim of this Research Topic is to cover the significance of systematic approaches to studying aging. Areas to be covered in this Topic may include, but not be limited to:
1. Novel high-throughput techniques which can be used to study aging.
2. Omics approaches using model organisms to study aging
3. Biomarkers of aging
4. Data analysis tools to integrate different age-related omics datasets
Keywords: Aging, system biology, omics, model organisms
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
