bioRxivDevelopmental BiologyPreprint
Deletion of KLHDC3, an E3 ubiquitin ligase complex substrate receptor, leads to obesity in mice.
Paula Armina V. BucoiD, Ashfaqul HoqueiD, Wilson Castillo‐TandazoiD, Alistair Morgan ChalkiD, Monique F. M. A. SmeetsiD, Carl R. WalkleyiD
Abstract
Protein ubiquitination is a critical post-translational modification that regulates protein stability and cellular homeostasis. KLHDC3 is a substrate recognition receptor within the recently identified C-terminal degron-mediated DesCEND ubiquitination pathway. It has been characterised to selectively bind proteins with C-terminal RxxxG motifs, targeting them for degradation. Unlike the well-characterised N-terminal degron pathway, the physiological roles of C-terminal degrons remain poorly understood. To investigate KLHDC3 function in vivo, we generated Klhdc3-deficient (Klhdc3-/-) mice. These mice exhibited sub-Mendelian birth rates and progressive postnatal lethality, with a median survival of 136 days and maximum survival observed of [~]1 year of age. Early growth retardation was apparent, followed by a normalisation of body mass with age. However, as Klhdc3-/- mice aged they developed pronounced obesity at the expense of lean mass, with some individuals reaching fat mass exceeding 50% of total body weight. Combined transcriptomic and proteomic analyses of Klhdc3-/- embryonic fibroblasts revealed significant changes in protein expression with minimal impact on transcript levels, consistent with KLHDC3s role in post-translational regulation. Among the upregulated proteins, HINT1 was identified as a novel KLHDC3 substrate, possessing a C-terminal degron motif. Protein stability assays and immunoblotting confirmed HINT1 as a direct target of KLHDC3. These findings establish a new in vivo physiological role for the DesCEND pathway and highlight KLHDC3 as a key regulator of development, survival, and adiposity in mice.
- organism: mouse
- assay: proteomics
- research focus: cell type annotation
- research focus: differential expression
- research focus: protein structure prediction
- approach: statistical model
- approach: experimental assay
- Citations
- 0
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