Genetic, Proteomic, Lipidomic, and Metabolomic Markers of Aging

A special issue of Biomolecules (ISSN 2218-273X). This special issue belongs to the section "Cellular Biochemistry".

Deadline for manuscript submissions: closed (15 November 2023) | Viewed by 6530

Special Issue Editors


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Guest Editor
Department of Molecular Physiology and Neurobiology, University of Wroclaw, Sienkiewicza 21, 50-335 Wroclaw, Poland
Interests: astrocyte-neuron crosstalk; aging; energy metabolism; brain plasticity and memory formation; proteomics; metabolomics; behavioral tests; electrophysiology; enzymology; protein-protein interaction; immunology
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Guest Editor
Laboratory of Molecular Basis of Ageing, Nencki Institute of Experimental Biology PAS 3 Pasteur Street, 02-093 Warszawa, Poland
Interests: aging; cell senescence; brain plasticity and memory formation; depression; proteins post translational modifications; behavior; electrophysiology; immunology;

Special Issue Information

Dear Colleagues,

We can all agree that understanding pathology in the context of aging requires defining the physiology of aging.

Cell senescence is one of the hallmarks of aging and is associated with changes of multiple aspects of cell biology. That includes alterations of genetic material, transcription, translation, or post-translational modifications, which is reflected in altered proteomic, lipidomic, and metabolomic profiles of cells and tissues. Identification of aging markers that would allow elimination or at least slow the progression of undesirable changes taking place during aging is one of the priorities of aging research.

Thus, the aim of this Special Issue, entitled “Genetic, Proteomic, Lipidomic, and Metabolomic Markers of Aging”, is to collect work on the current research associated with the aspects of physiology and the pathology of aging. We encourage you to submit your manuscripts associated with exciting aspects of diagnostics and monitoring of aging markers and their potential in evaluating the function of living systems at all levels from overall health to through the condition of organs and tissues, to single cells at the molecular level.

Dr. Dominika Drulis-Fajdasz
Dr. Adam Krzystyniak
Guest Editors

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Keywords

  • genetic
  • proteomic
  • lipidomic
  • metabolomic
  • aging

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Published Papers (1 paper)

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8 pages, 1518 KiB  
Technical Note
Fiji-Based Tool for Rapid and Unbiased Analysis of SA-β-Gal Activity in Cultured Cells
by Adam Krzystyniak, Agata Gluchowska, Grazyna Mosieniak and Ewa Sikora
Biomolecules 2023, 13(2), 362; https://doi.org/10.3390/biom13020362 - 14 Feb 2023
Cited by 5 | Viewed by 5429
Abstract
Normal cells under stressful conditions such as DNA damage or excessive mitogenic signaling may undergo senescence, which is associated with cell cycle arrest and induction of a proinflammatory phenotype. Accumulation of senescent cells may contribute to the shortening of the life span by [...] Read more.
Normal cells under stressful conditions such as DNA damage or excessive mitogenic signaling may undergo senescence, which is associated with cell cycle arrest and induction of a proinflammatory phenotype. Accumulation of senescent cells may contribute to the shortening of the life span by accelerating aging and promoting chronic diseases. Cytochemical detection of the senescence-associated β-galactosidase (SA-β-gal) activity with 5-bromo-4-chloro-3-indolyl β-D-galactopyranoside (X-gal) is a widely recognised marker of cell senescence. However, its simplicity and cost effectiveness lead to limitations in quantification, which is usually limited to manual counting of the positive cells. In order to address those limitations, we developed a Fiji-based macro extension that performs automatic and unbiased analysis of the integrated density of SA-β-gal specific signal. Our tool is not only faster than manual counting but also provides extra resolution compared to the manual methods. Our macro extension could be a valuable tool in any senescence research laboratory. Full article
(This article belongs to the Special Issue Genetic, Proteomic, Lipidomic, and Metabolomic Markers of Aging)
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