2019
DOI: 10.1101/678417
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A subset of SMN complex members have a specific role in tissue regeneration via ERBB pathway-mediated proliferation

Abstract: Spinal Muscular Atrophy (SMA) is the most common genetic disease in childhood. SMA is generally caused by mutations in SMN1. The Survival of Motor Neurons (SMN) complex consists of SMN1, Gemins (2-8) and Strap/Unrip. We previously demonstrated smn1 and gemin5 inhibited tissue regeneration in zebrafish. Here we investigated each individual SMN complex member and identified gemin3 as another regeneration-essential gene. These three genes are likely pan-regenerative since they affect the regeneration of hair cell… Show more

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Cited by 2 publications
(2 citation statements)
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“…[38] GEMIN5 levels were increased with mutant TP53 and consistent with the previous zebrafish studies indicate that GEMIN5 is associated with TP53 regulation/ activation. [39] Studies have shown that normal TP53 decreases the expression of the NPAT through a G1 cell-cycle arrest.…”
Section: Discussionmentioning
confidence: 99%
“…[38] GEMIN5 levels were increased with mutant TP53 and consistent with the previous zebrafish studies indicate that GEMIN5 is associated with TP53 regulation/ activation. [39] Studies have shown that normal TP53 decreases the expression of the NPAT through a G1 cell-cycle arrest.…”
Section: Discussionmentioning
confidence: 99%
“…Accordingly, Gemin5 acts as a hub for several networks performing diverse key cellular functions. This multifunctional protein has been shown to act as a regulator of translation (Pacheco et al, 2009; Workman et al, 2015; Francisco-Velilla et al, 2018), as a ribosome-interacting protein (Francisco-Velilla 2016; Simsek et al, 2017), as a reprogramming factor in zebrafish lateral line hair cells (Pei et al, 2020), as a signal recognition particle (SRP)-interacting protein (Piazzon et al, 2013), and as a trans-splicing factor (Philippe et al, 2017). In addition, Gemin5 has been identified as a member of RNP networks associated to distinct cytoplasmic aggregates (Wollen et al, 2021; Vu et al, 2021; Jiang et al 2021).…”
Section: Introductionmentioning
confidence: 99%