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      RNA editing restricts hyperactive ciliary kinases

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          RNA editing restricts ciliary kinases

          Ciliary kinases are essential for cilia formation and function, but it remains unknown how their activities are regulated in vivo. Li et al . created roundworm animal models carrying hyperactive ciliary kinases that disrupt cilia. Their genetic suppressor screens revealed that loss of an RNA adenosine deaminase, which catalyzes adenosine-to-inosine (A-to-I) RNA editing, rescued ciliary abnormalities. They found that kinase hyperactivation caused this RNA adenosine deaminase to edit kinase RNA and impair kinase RNA splicing and translation, thereby downregulating ciliary kinases from nuclei. These results suggest that ciliopathies may be treated by targeting the pathways outside of cilia. —DJ

          Abstract

          RNA editing modifies the pre-mRNA of protein kinases, downregulating protein kinase production, thereby restricting their activities.

          Abstract

          Protein kinase activity must be precisely regulated, but how a cell governs hyperactive kinases remains unclear. In this study, we generated a constitutively active mitogen-activated protein kinase DYF-5 (DYF-5CA) in Caenorhabditis elegans that disrupted sensory cilia. Genetic suppressor screens identified that mutations of ADR-2, an RNA adenosine deaminase, rescued ciliary phenotypes of dyf-5CA . We found that dyf-5CA animals abnormally transcribed antisense RNAs that pair with dyf-5CA messenger RNA (mRNA) to form double-stranded RNA, recruiting ADR-2 to edit the region ectopically. RNA editing impaired dyf-5CA mRNA splicing, and the resultant intron retentions blocked DYF-5CA protein translation and activated nonsense-mediated dyf-5CA mRNA decay. The kinase RNA editing requires kinase hyperactivity. The similar RNA editing–dependent feedback regulation restricted the other ciliary kinases NEKL-4/NEK10 and DYF-18/CCRK, which suggests a widespread mechanism that underlies kinase regulation.

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          Most cited references47

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          THE GENETICS OF CAENORHABDITIS ELEGANS

          Methods are described for the isolation, complementation and mapping of mutants of Caenorhabditis elegans, a small free-living nematode worm. About 300 EMS-induced mutants affecting behavior and morphology have been characterized and about one hundred genes have been defined. Mutations in 77 of these alter the movement of the animal. Estimates of the induced mutation frequency of both the visible mutants and X chromosome lethals suggests that, just as in Drosophila, the genetic units in C.elegans are large.
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            The unfolded protein response: from stress pathway to homeostatic regulation.

            The vast majority of proteins that a cell secretes or displays on its surface first enter the endoplasmic reticulum (ER), where they fold and assemble. Only properly assembled proteins advance from the ER to the cell surface. To ascertain fidelity in protein folding, cells regulate the protein-folding capacity in the ER according to need. The ER responds to the burden of unfolded proteins in its lumen (ER stress) by activating intracellular signal transduction pathways, collectively termed the unfolded protein response (UPR). Together, at least three mechanistically distinct branches of the UPR regulate the expression of numerous genes that maintain homeostasis in the ER or induce apoptosis if ER stress remains unmitigated. Recent advances shed light on mechanistic complexities and on the role of the UPR in numerous diseases.
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              A view on drug resistance in cancer

              The problem of resistance to therapy in cancer is multifaceted. Here we take a reductionist approach to define and separate the key determinants of drug resistance, which include tumour burden and growth kinetics; tumour heterogeneity; physical barriers; the immune system and the microenvironment; undruggable cancer drivers; and the many consequences of applying therapeutic pressures. We propose four general solutions to drug resistance that are based on earlier detection of tumours permitting cancer interception; adaptive monitoring during therapy; the addition of novel drugs and improved pharmacological principles that result in deeper responses; and the identification of cancer cell dependencies by high-throughput synthetic lethality screens, integration of clinico-genomic data and computational modelling. These different approaches could eventually be synthesized for each tumour at any decision point and used to inform the choice of therapy.

                Author and article information

                Contributors
                Journal
                Science
                Science
                American Association for the Advancement of Science (AAAS)
                0036-8075
                1095-9203
                August 27 2021
                August 27 2021
                : 373
                : 6558
                : 984-991
                Affiliations
                [1 ]Tsinghua-Peking Center for Life Sciences, Tsinghua University, Beijing, China.
                [2 ]Beijing Frontier Research Center for Biological Structure, Tsinghua University, Beijing, China.
                [3 ]McGovern Institute for Brain Research, Tsinghua University, Beijing, China.
                [4 ]School of Life Sciences and MOE Key Laboratory for Protein Science, Tsinghua University, Beijing, China.
                [5 ]School of Medicine, Tsinghua University, Beijing, China.
                [6 ]MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing, China.
                [7 ]Center for Synthetic and Systems Biology, Tsinghua University, Beijing, China.
                [8 ]Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
                Article
                10.1126/science.abd8971
                34446600
                1b1d5095-8cd6-402e-8ac6-e8691a738e49
                © 2021
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