Backbone resonance assignments of the catalytic and regulatory domains of Ca2+/calmodulin-dependent protein kinase 1D

Abstract

The CaMK subfamily of Ser/Thr kinases are regulated by calmodulin interactions with their C-terminal regions. They are exemplified by Ca 2+ /calmodulin dependent protein kinase 1δ which is known as CaMK1D, CaMKIδ or CKLiK. CaMK1D mediates intracellular signalling downstream of Ca 2+ influx and thereby exhibits amplifications of Ca 2+ signals and polymorphisms that have been implicated in breast cancer and diabetes. Here we report the backbone 1 H, 13 C, 15 N assignments of the 38 kDa human CaMK1D protein in its free state, including both the canonical bi-lobed kinase fold as well as the autoinhibitory and calmodulin binding domains.

Identification of crucial inflammaging related risk factors in multiple sclerosis

“…An integrated inflammaging model was developed to explore the important relationships among aging, inflammation and MS (shown in Section 5.3). Table 2 (Chen and D'Mello, 2010 ; Wan, 2014 ; Maridas et al, 2017 ; Jatczak-Pawlik et al, 2020 ; Tong et al, 2020 ; Black et al, 2021 ; Correale, 2021 ; Fadul et al, 2021 ; Sehgal et al, 2021 ; Atiyah et al, 2023 ) demonstrated the top ten aging, inflammatory and disease markers, respectively. For example, BMP8A (bone morphogenetic protein 8a), the top aging marker, can achieve anti-adiposity by promoting fatty acid oxidation and inhibiting adipocyte differentiation (Zhong et al, 2023 ).…”

“…The Markov Chain Monte Carlo (MCMC) method was used to assess the sensitivity indices between inflammaging and MS. As a result, the 35 sensitive triples (by calculating the absolute difference frequency) were shown in Table 3 (Sarasin-Filipowicz et al, 2009 ; Chen and D'Mello, 2010 ; Bergbold and Lemberg, 2013 ; Liu et al, 2013 ; Malhotra et al, 2013 ; Wan, 2014 ; Charbit et al, 2015 ; Fusco et al, 2015 ; An et al, 2017 ; Arentsen et al, 2017 ; Maridas et al, 2017 ; Mathur et al, 2017 ; Xiao et al, 2019 ; Immler et al, 2020 ; Sato et al, 2020 ; Tong et al, 2020 ; Buhelt et al, 2021 ; Correale, 2021 ; Fadul et al, 2021 ; Ma et al, 2021 ; Peng et al, 2021 ; Bogacka et al, 2022 ; Franceschi et al, 2022 ; Hjæresen et al, 2022 ; Khurana and Goswami, 2022 ; Liu S. et al, 2022 ; Schebb et al, 2022 ; Watanabe et al, 2022 ; Saeidi et al, 2023 ). For example, the sensitive triple with maximum difference was “TMPRSS13-USP18-DCHS2” (the absolute difference value was 0.270469).…”