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Sentence examples for models of senescence from inspiring English sources

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There is little published data about RIPC in animal models of senescence.

For example, a recent study in mouse models of senescence suggested that miR-29 targets type IV collagen genes (Takahashi et al, 2012).

We then investigated whether RAC3 downregulation in senescence could be the most general phenomenon usually found in other biological models of senescence.

DNA damage is known to initiate antiproliferative signals and contribute to senescence in several models of senescence in vitro (reviewed in [ 45]) and probably also in vivo (reviewed in [ 46]).

Finally, hippocampal neurons in vitro undergo a time-associated increase in tubulin acetylation similarly to the in vivo situation and a time-associated increase in the phosphorylation of the microtubule-associated protein Tau (Sodero et al, 2011) similarly to that reported in aged human brains (Pikkarainen et al, 2009) and mouse models of senescence (Tomobe & Nomura, 2009).

Similar(55)

Although we have not measured EGF activity in the current study, it is probable that EGF function would be impaired in our in vitro model of senescence, in accordance with previous investigations of aging and senescent cells.

In accordance with the nuclear loss of generic H2A, our measurements of total nuclear quantitates of H2A.X (both phosphorylated and unphosphorylated) indicate a nuclear depletion of this histone variant upon chronic DDR in drug-evoked model of senescence (400 fmol in proliferating cells vs. 260 fmol in senescent cells).

Interestingly, gut microbial taxonomic profiling in a mouse model of senescence recently revealed luminal Cr degradation as a prominent, overrepresented bacterial-encoded signature in older frail mice [56].

These results are of great importance for future modeling of senescence transcriptional networks.

Taken together, these results indicate that our system is an appropriate experimental model of senescence.

Therefore, these novel SAGs are candidate target genes for future modelling of senescence transcriptome in cotton.

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