2016
DOI: 10.18632/aging.101100
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Abstract: Accumulating evidence indicates that senescent cells play an important role in many age-associated diseases. The pharmacological depletion of senescent cells (SCs) with a “senolytic agent”, a small molecule that selectively kills SCs, is a potential novel therapeutic approach for these diseases. Recently, we discovered ABT-263, a potent and highly selective senolytic agent, by screening a library of rationally-selected compounds. With this screening approach, we also identified a second senolytic agent called … Show more

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Cited by 159 publications
(133 citation statements)
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References 74 publications
(79 reference statements)
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“…Our previous studies showed that both Michael acceptors were important for the senolytic activity of PL (Wang et al., 2016), indicating that PL may act as an irreversible inhibitor through the conjugated addition of the nucleophiles (e.g., cysteine residue) on its target protein(s) to the Michael acceptors. Taking advantage of the covalent interaction between PL and its target protein(s), we designed PL probes that can be “tagged” for protein purification and identification in live cells (Figure 1a).…”
Section: Resultsmentioning
confidence: 99%
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“…Our previous studies showed that both Michael acceptors were important for the senolytic activity of PL (Wang et al., 2016), indicating that PL may act as an irreversible inhibitor through the conjugated addition of the nucleophiles (e.g., cysteine residue) on its target protein(s) to the Michael acceptors. Taking advantage of the covalent interaction between PL and its target protein(s), we designed PL probes that can be “tagged” for protein purification and identification in live cells (Figure 1a).…”
Section: Resultsmentioning
confidence: 99%
“…The CTL probe was used to subtract nonspecific proteins pulled down by our PL probe. As expected, the CTL probe was ~9‐fold less potent than the PL probe and has no selective toxicity against SCs because the senolytic activity of PL depends on the presence of both Michael acceptors (Figure 1b) (Wang et al., 2016). …”
Section: Resultsmentioning
confidence: 99%
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