Abstract
The development of next-generation sequencing (NGS) technologies to study the genome, the transcriptome, and the epigenome has revolutionized the research in all life sciences. Whole-genome sequencing and related emerging techniques are changing the perspective of researchers about the complexity of all biological phenomena. Now, the interaction between molecules and their cellular functions can be studied with high-throughput methods and in a relatively easy way, although most technologies are still expensive. In this regard, this era of post-genomic studies needs to be the time for our better understanding of the aging process and related diseases. Moreover, these technologies are a major promise to catapult biomedical research into true clinical applications as prognostics or even more as therapeutic tools for many human conditions such as aging and associated diseases. In this chapter, we reviewed how different NGS strategies have been used in the study of longevity, aging, and age-related diseases. These NGS strategies include exome and whole-genome sequencing, transcriptome sequencing, single-cell whole-genome sequencing, mitochondrial genome sequencing, DNA methylation sequencing, and ChIP-seq.
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Abbreviations
- ChIP:
-
Chromatin immunoprecipitation
- ChIP-seq:
-
ChIP sequencing
- DMR:
-
Differentially methylated regions
- DNA:
-
Deoxyribonucleic acid
- DNAmet:
-
DNA methylation
- FACS:
-
Fluorescence-activated cell sorting
- LCM:
-
Laser capture microdissection
- mtDNA:
-
Mitochondrial DNA
- NGS:
-
Next-generation sequencing
- RNA:
-
Ribonucleic acid
- RNA-seq:
-
RNA sequencing
- scRNA-seq:
-
Single-cell RNA-seq
- SCS:
-
Single-cell sequencing
- SMS:
-
Single-molecule sequencing
- WES:
-
Whole-exome sequencing
- WGS:
-
Whole-genome sequencing
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García-Venzor, A., Mandujano-Tinoco, E.A. (2020). Genomic Tools Used in Molecular Clinical Aging Research. In: Gomez-Verjan, J., Rivero-Segura, N. (eds) Clinical Genetics and Genomics of Aging. Springer, Cham. https://doi.org/10.1007/978-3-030-40955-5_5
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