Cellular senescence was reported by Hayflick in 1981. It was discovered when pulmonary fibroblasts slowed down their proliferation and eventually ended in cell death after cell passaging had been performed for more than 8 months. Subsequent studies have revealed that cellular senescence is caused not only by telomere length reduction, but also by external factors such as oncogene activation, oxidative stress, and DNA damage.
The induction and control mechanisms of cellular senescence - in which genetic and external factors are intricately involved - have yet to be fully elucidated. However, it has been suggested that the process is closely related to cancer and various age-related diseases, inspiring large amounts of active research into the topic. The development of drugs that eliminate senescent cells in the body (senolytic drugs) is also attracting the attention of researchers as a possible strategy to extend healthy life expectancy.
Cellular senescence is controlled by various factors such as cell type and physiological conditions, such as oxidative stress. None of the individual biomarkers that have been identified so far have been deemed to be specific to senescent cells. Therefore, it is desirable to determine and confirm cellular senescence using multiple indicators.
Common detection indicators for assessing cellular senescence include features related to cell cycle progression (DNA synthesis, p16/p21 expression, etc.), features related to morphology (of the cell, nucleus, nucleolus, etc.), SA-β-Gal activity, DNA damage, oxidative stress (ROS), telomere length, inflammatory cytokines (senescence-associated secretory phenotype (SASP)), and more.
Research into apoptosis, necrosis, autophagy, and cellular senescence is very important for understanding the intracellular functions that control cell survival and death.
This correlation map shows the relationship between various intracellular indicators, resulting from cellular senescence. This information is based on currently available information. Please refer to the table with cited references below as reference for your experiments. The table lists the cell type, the method of senescence induction used, the senescence markers measured, and the variables affected by senescence in each reference for the map.
Cell | Senescence induction | Senescence marker (s) | Responding variable (s) | Reference | |
---|---|---|---|---|---|
① | IMR90 (Human pulmonary fibroblasts) |
Several passages in culture | SA-β-Gal, p16, p21, Nucleosome hypertrophy | Expression of SETD8↓, H4K20me1↓, oxidative phosphorylation↑, ribosome synthesis↑ | H. Tanaka, S. Takebayashi, A. Sakamoto, N. Saitoh, S. Hino and M. Nakao, “The SETD8/PR-Set7 Methyltransferase Functions as a Barrier to Prevent Senescence-Associated Metabolic Remodeling.”, Cell Reports, 2017, 18(9), 2148. |
Inhibition of SETD8 (Methyltransferase) |
Oxidative phosphorylation↑, ribosome synthesis↑ | ||||
② | Senescent mouse satellite cell (eletal muscle progenitor cells) |
- | SA-β-Gal, p16 | Autophagy activity↓, ROS↑, mitochondrial membrane potential↓ | L. Garcia-Prat, M. Martinez-Vicente, and P. Munoz-Canoves, “Autophagy: a decisive process for stemness”, Oncotarget, 2016, 7(11), 12286. |
Atg7 knockout mouse (Satellite cells) |
Autophagy inhibition | SA-β-Gal, P15, p16, p21, γ-H2AX | ROS↑, mitochondrial membrane potential↓ | ||
③ | Rat fibroblast model of type 2 diabetes | - | SA-β-Gal, p21, p53, γ-H2AX | NADP+/ NADPH↓(resistance to oxidative stress↓), NADPH oxidase↑(ROS↑) | M. Bitar, S. Abdel-Halim and F. Al-Mulla, “Caveolin-1/PTRF upregulation constitutes a mechanism for mediating p53-induced cellular senescence: implications for evidence-based therapy of delayed wound healing in diabetes”, Am J Physiol Endocrinol Metab., 2013, 305(8), E951. |
④ | IMR90 (Human pulmonary fibroblasts) |
Ethidium bromide (inhibition of mtDNA) + pyruvate deficiency | SA-β-Gal | NAD+/NADH | C. Wiley, M. Velarde, P. Lecot, A. Gerencser, E. Verdin, J. Campisi, et. al., “Mitochondrial Dysfunction Induces Senescence with a Distinct Secretory Phenotype”, Cell Metab., 2016, 23(2), 303. |
⑤ | MDA-MB-231 (Human breast cancer cells) |
X-ray irradiation + inhibition of cell cycle-related factor (securin) expression | SA-β-Gal | Lactate↑, LDH activity↑, (glycolysis↑) | E. Liao, Y. Hsu, Q. Chuah, Y. Lee, J. Hu, T. Huang, P-M Yang & S-J Chiu, “Radiation induces senescence and a bystander effect through metabolic alterations.”, Cell Death Dis., 2014, 5, e1255. |
⑥ | MEF (Mouse Embryonic Fibroblast) |
Overexpression of oncogenes,several passages in culture, transcription factor overexpression(E2F1) | SA-β-Gal, p16, p21, Nucleosome hypertrophy | Ribosome RNA↑, p53↑ | K. Nishimura, T. Kumazawa, T. Kuroda, A. Murayama, J. Yanagisawa, and K. Kimura, “Perturbation of Ribosome Biogenesis Drives Cells into Senescence through 5S RNP-Mediated p53 Activation”, Cell Rep. 2015, 10(8), 1310. |
⑦ | Mouse tail fibroblast | 2 months old, 22 months old, p16 knockout (22 months old) | SA-β-Gal, p14, p16 | NAD+↓, SIRT3↓ | M. J. Son, Y. Kwon, T. Son and Y. S. Cho, “Restoration of Mitochondrial NAD+ Levels Delays Stem Cell Senescence and Facilitates Reprogramming of Aged Somatic Cells”, Stem Cells. 2016, 34(12), 2840. |
CAT. No. | Product Name | Size |
---|---|---|
SG03-10 | Cellular Senescence Detection Kit - SPiDER-βGal | 10 assays |
R252-10 | ROS Assay Kit -Highly Sensitive DCFH-DA- | 100 tests |
L256-10 | Lactate Assay Kit-WST | 50 tests |
N509-10 | NAD/NADH Assay Kit-WST | 100 tests |
N510-10 | NADP/NADPH Assay Kit-WST | 100 tests |
N511-10 | Nucleolus Bright Green | 60 nmol |
MT13-10 | MT-1 MitoMP Detection Kit | 1 set |
D676-10 | DAPGreen - Autophagy Detection | 5 nmol |
The four types of kits and reagents can be selected according to the evaluation method and purpose of cell senescence.
Product Name | Cellular Senescence Detection Kit - SPiDER-βGal | Cellular Senescence Plate Assay Kit - SPiDER-βGal | Cell Cycle Assay Solution Deep Red / Blue | Nucleolus Bright Green / Red |
Detection | Fluorescence | Fluorescence | Fluorescence | Fluorescence |
Wavelength (Ex/Em) |
Ex. 500 - 540 nm / Em. 530 - 570 nm | Ex. 535 nm / Em. 580 nm | Deep Red: Ex. 633-647 nm / Em. 780/60 nm Blue: Ex. 405-407 nm / Em. 450/50 nm |
Green: Ex. 513 nm / Em. 538 nm Red: Ex. 537 nm / Em. 605 nm |
Target | SA-β-gal activity | SA-β-gal activity | Nucleus | Changes in the nucleolus |
Detection Method | Imaging Substrate: SPiDER-βGal | Plate assay Substrate: SPiDER-βGal |
Flow cytometry | Imaging Detection of the nucleolus by RNA-staining reagent |
Instrument | Fluorescence microscope, FCM |
Fluorescence microplate reader | FCM | Fluorescence microscope |
Sample | Live cells, fixed cells (Tissue: some examples from published articles using SG02) |
Live cells (lysis of live cells) |
Live cells, fixed cells | Fixed cells |
Best for | Those who have difficulty quantifying data or performing multiple staining with X-gal | Those who process multiple samples; Those who are evaluating senescent cells for the first-time small size package (20 tests) is available |
Those who wish to evaluate using indicators other than SA-β-Gal | Those who wish to evaluate using indicators other than SA-β-Gal; Examples of reports using nucleolus as an indicator are available on the product page |
Data | ||||
CAT. No. | SG03 | SG05 | Deep Red: C548 Blue: C549 |
Green: N511 Red: N512 |
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