Omics of Aging

Published 03 September, 2019

With the advent of next-generation sequencing techniques, recent years have seen an exponential growth of our ability to interrogate cells and organisms at the “omics” level (i.e. [epi-]genomics, transcriptomics, metabolomics, providing a systematic and unbiased window into age-related changes. These advances also now include the ability to profile thousands of unique cells in parallel (i.e. scRNA-seq, scATAC-seq, CyTOF, etc.). Tools and techniques to integrate various sources of “omics” information have been gaining increasing traction through the use of classical machine learning and, more recently, deep-learning techniques. Big data has started to permeate all fields of biology, including aging biology, and will be critical to our long-term understanding of the complex biological changes that underlie the aging process and, ultimately, to our ability to modulate aspects of aging.

This special issue aims at showcasing exciting new and emerging methods in aging “omics”, with a goal of providing the field of aging biology with a comprehensive toolkit to unbiasedly decipher age-related remodeling. We encourage submission of primary and review manuscripts focusing on cutting-edge “omics” tools both on the “wet” side and on the analytical side of the field, and how their use has already transformed or has the potential to transform aging research. Examples of such tools include emerging “omics” techniques with particular relevance to aging (e.g. mitochondria, replication or transcriptional errors, transposable elements), data integration paradigms that include not only data types but also time, genomic tools for emerging models in geroscience, or omics databases facilitating the analysis and access of aging “omics” data for use in aging research.

We believe that this issue will represent an important resource and reference for the use of “omics” in the field of aging research, and we invite you to consider submitting your exciting work to this issue.

You can submit your work directly by clicking “Submit Your Paper” on the journal homepage and choose the special issue “Omics of Aging”. The review processes should usually be complete within 4 weeks of submission, and all accepted papers will appear first on-line shortly after the acceptance. These papers will be first published as a regular article in the journal, and all accepted papers will be collected in the special issue once all articles are published online. The special issue will be featured in the journal and will be promoted by the publisher through ScienceDirect.

Submission Deadline

1 June 2020

Guest Editor

Prof. Bérénice A. Benayoun

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