Skip to main content
Nature Communications logoLink to Nature Communications
. 2021 Jun 2;12:3292. doi: 10.1038/s41467-021-23599-7

NEK9 regulates primary cilia formation by acting as a selective autophagy adaptor for MYH9/myosin IIA

Yasuhiro Yamamoto 1,2, Haruka Chino 1, Satoshi Tsukamoto 3, Koji L Ode 4, Hiroki R Ueda 4,5, Noboru Mizushima 1,
PMCID: PMC8172835  PMID: 34078910

Abstract

Autophagy regulates primary cilia formation, but the underlying mechanism is not fully understood. In this study, we identify NIMA-related kinase 9 (NEK9) as a GABARAPs-interacting protein and find that NEK9 and its LC3-interacting region (LIR) are required for primary cilia formation. Mutation in the LIR of NEK9 in mice also impairs in vivo cilia formation in the kidneys. Mechanistically, NEK9 interacts with MYH9 (also known as myosin IIA), which has been implicated in inhibiting ciliogenesis through stabilization of the actin network. MYH9 accumulates in NEK9 LIR mutant cells and mice, and depletion of MYH9 restores ciliogenesis in NEK9 LIR mutant cells. These results suggest that NEK9 regulates ciliogenesis by acting as an autophagy adaptor for MYH9. Given that the LIR in NEK9 is conserved only in land vertebrates, the acquisition of the autophagic regulation of the NEK9–MYH9 axis in ciliogenesis may have possible adaptive implications for terrestrial life.

Subject terms: Macroautophagy, Actin, Cilia, Myosin


Ciliogenesis is a tightly regulated process, although the role of selective autophagy is unclear. Here, the authors show NIMA-related kinase 9 controls actin network stabilization and subsequently ciliogenesis by targeting myosin MYH9 for autophagic degradation via GABARAP interaction.

Introduction

The primary cilium is a highly dynamic microtubule-based organelle that protrudes from the plasma membrane when cells exit the cell cycle1. It extends from the basal body that matures from the mother centriole of the centrosome. Primary cilia sense and transduce various extracellular stimuli, such as signaling molecules (e.g., Hedgehog, Wnt, Notch, growth factors, and hormones), mechanical forces (e.g., fluid flow and tissue deformation), and environmental cues (e.g., light and odorants), depending on the cell type24. They regulate diverse developmental and physiological processes, such as embryonic patterning, organogenesis, tissue homeostasis, and cell differentiation2,5,6. Accordingly, defects in ciliogenesis lead to a collection of genetic syndromes known as ciliopathies, which have characteristic features that include renal, hepatic, and pancreatic cysts, skeletal anomalies, retinal degeneration, hearing loss, obesity, brain malformations, and mental retardation7,8.

Macroautophagy (hereafter autophagy) is an intracellular degradation process in which cytoplasmic material is degraded in the lysosome. During autophagy, a fraction of the cytoplasm is sequestered by small membrane cisternae called isolation membranes (or phagophores) to form autophagosomes9,10. Autophagosomes then fuse with lysosomes to degrade their engulfed material. Autophagy degrades cytoplasmic contents nonselectively or selectively11,12. Selective autophagy cargos include certain soluble proteins, protein aggregates, organelles, including mitochondria, the endoplasmic reticulum (ER), and lysosomes, and intracellular pathogens1317. Selective autophagy is important for maintaining cellular homeostasis and has been implicated in human diseases18,19. In mammals, selective autophagy cargos are recognized by ATG8 proteins, which are classified into two subfamilies, namely, the LC3 (including LC3A, LC3B, and LC3C) and GABARAP (including GABARAP, GABARAPL1, and GABARAPL2) subfamilies. They are covalently conjugated to phosphatidylethanolamine in the autophagic membrane and bind to selective cargos with a LC3-interacting region (LIR) motif20,21. Alternatively, some LIR-containing soluble proteins, such as SQSTM1 (p62), NBR1, NDP52, OPTN, and TAX1BP1, work as selective autophagy adaptors to mediate binding between ATG8s and cargos11,12.

Recent evidence suggests that the relationship between autophagy and ciliogenesis is bidirectional; cilia regulate autophagy induction, whereas autophagy regulates ciliogenesis22,23. Centriolar satellites are non-membranous organelles in the vicinity of the centrosome, which act as conduits for centrosomal components and regulate ciliogenesis and ciliary functions24,25. Centriolar oral-facial-digital syndrome 1 (OFD1) is essential for ciliogenesis; it promotes the docking of the basal body to the plasma membrane and recruits essential ciliary components to the basal body26,27. By contrast, OFD1 at centriolar satellites acts as a suppressor of ciliogenesis by blocking recruitment of Bardet–Biedl syndrome 4 (BBS4), a crucial component for cilia elongation. Autophagy degrades OFD1 at centriolar satellites but not at centrioles, thus promoting ciliogenesis28. Upregulation of autophagy consistently promotes ciliogenesis in cells across various culture conditions2832. Primary cilia formation is impaired in autophagy-deficient Atg7-KO kidney proximal tubular cells in mice, but the underlying mechanisms remain undetermined31. By contrast, other reports have shown that basal autophagy can negatively regulate ciliogenesis33,34. Under nutrient-rich conditions, basal autophagy degrades IFT20, a protein essential for ciliogenesis, thus preventing unwanted ciliogenesis during cell proliferation33. This complicated relationship between autophagy and cilia may indicate the existence of an unidentified key regulator22.

Here, we describe the identification of NIMA-related kinase 9 (NEK9) as a GABARAPs-interacting protein. This GABARAP–NEK9 interaction was found to be important for primary cilia formation in culture cells and mice. NEK9 functions as a selective autophagy adaptor for MYH9 (also known as myosin IIA), a negative regulator of ciliogenesis. NEK9-mediated autophagic degradation of MYH9 facilitates actin remodeling and induces ciliogenesis by increasing actin dynamics. We also show that autophagy promotes ciliogenesis primarily by degrading NEK9–MYH9 and OFD1.

Results

Differential interactome screen identified NEK9 as a GABARAPs-interacting protein

To identify substrates or adaptors of selective autophagy, we performed a differential interactome screen using wild-type GABARAPL1 and the LIR-docking site mutant GABARAPL1Y49A/L50A, as we previously did with LC3B35. The immunoprecipitates were subjected to mass spectrometry (Fig. 1a), and 3129 proteins were detected, including known GABARAP- and LC3-interacting proteins such as p62/SQSTM1, TEX264, and PCM112,35,36. Based on binding intensity and specificity to wild-type GABARAPL1 (Fig. 1b), we focused on NEK9, because it was less characterized in the context of autophagy. NEK9 was also previously identified as a protein interacting with ATG8 family proteins37.

Fig. 1. Differential interactome screen identified NEK9 as a GABARAP-interacting protein.

Fig. 1

a Scheme of the differential interactome screen to identify substrates or adaptors of selective autophagy using GABARAPL1 and its LIR docking site mutant GABARAPL1Y49A/L50A. b Results of the differential interactome screen. Four independent immunoprecipitation and mass spectrometry (MS) analyses were conducted. The number of times each protein was detected is shown as #GABARAPL1-IP or #GABARAPL1Y49A/L50A-IP. The x- and y-axes represent GABARAPL1 binding intensity and the #GABARAPL1-IP / (#GABARAPL1-IP + #GABARAPL1 Y49A/L50A -IP) ratio, respectively. The area defined by x < 10 or y < 0.5 is colored gray. See also Supplementary Data 1. c Structures of Homo sapiens and Danio rerio NEK9 and a multiple sequence alignment of NEK9 proteins in vertebrates. Identical and similar residues are colored in red and yellow, respectively. LIR was predicted by iLIR search. KD, kinase-domain; RCC1, RCC1-repeats; CC, coiled-coil. d Immunoprecipitation of FLAG-ATG8s in HEK293T cells. e Co-immunoprecipitation of FLAG-GABARAP and wild-type or mutant GFP-NEK9 in HEK293T cells. In GFP-NEK9 LIR4A, the LIR residues (WCLL) were substituted by four alanines. Data are representative of three independent experiments in (d) and (e).

NEK9 belongs to the NEK family, which is associated mainly with cell-cycle-related functions during mitosis38,39. NEK9 is activated during mitosis and phosphorylates various downstream substrates to facilitate proper mitosis progression4043. Homozygous Nek9 knockout mice are embryonic lethal (MGI: 2387995). Some NEK family proteins, such as NEK1, NEK8, and NEK10, have cilia-related functions besides mitotic regulation and are causative genes of human ciliopathies4446. A study of one pedigree indicated that a recessive loss-of-function mutation in NEK9 (a missense mutation in the middle region) causes a lethal skeletal dysplasia (lethal congenital contracture syndrome 10; OMIM 609798), and patient fibroblasts showed a defect in primary cilia formation47. NEK8, a close homolog of NEK9, is also a gene responsible for ciliopathy45. Very recently, it was reported that NEK9 has a LIR and suppresses selective autophagy by phosphorylating Thr50 within the LIR-docking site of LC3B48. However, how NEK9 is involved in primary cilia formation and whether its function relates to autophagy remain unknown.

NEK9 consists of an N-terminal kinase domain, followed by autoinhibitory regulator of chromosome condensation 1 (RCC1)-repeats and a coiled-coil domain40. The PSIPRED protein sequence analysis predicted that NEK9 has intrinsically disordered regions (residues 750–891 and 940–979) in the C-terminal region (Fig. 1c). NEK9 interacted with the GABARAP subfamily, but also with the LC3 subfamily to a lesser extent (Fig. 1d). The iLIR search predicted the presence of a LIR (WCLL) in the C-terminal disordered region (Fig. 1c)49. Substitution of all four of these residues or even one of the hydrophobic residues (W967 or L970) in the LIR with alanine completely abolished the interaction with GABARAP (Fig. 1e). These results suggest that the LIR is functional and mediates the NEK9–GABARAP interaction, consistent with a recent report48. Although the overall structure of NEK9 is conserved among all vertebrates, the LIR is present only in land-living vertebrates, including mammals, reptiles, birds, and amphibians, but not in fish. In addition, the LIR is conserved in the coelacanth (Latimeria chalumnae), an extant species of ancestral lobe-finned fish from which terrestrial vertebrates evolved50, suggesting that NEK9’s LIR-dependent function is important for terrestrial life (Fig. 1c).

NEK9 is degraded by selective autophagy

To investigate the subcellular localization of NEK9, we observed GFP-tagged NEK9 in mouse embryonic fibroblasts (MEFs). Although diffusely distributed in the cytoplasm under nutrient-rich conditions, NEK9 formed punctate structures under autophagy-inducing starvation conditions (Fig. 2a, b). NEK9 colocalized with the autophagic membrane marker mRuby3-GABARAP and endogenous LC3 and GABARAP (Fig. 2a; Supplementary Fig. 1a–c), as well as the isolation membrane markers FIP200 and WIPI2 (Supplementary Fig. 1d–f)9,10. In contrast, NEK9 did not form punctate structures in autophagy-deficient Fip200-KO cells (Fig. 2c, d) and Atg3-KO cells (Supplementary Fig. 1g, h). A LIR mutant of NEK9 (NEK9 W967A) did not localize to the autophagic membrane, even during starvation (Fig. 2c, e). Thus, NEK9 is associating with the autophagic membrane from an early phase in a LIR-dependent manner.

Fig. 2. NEK9 is degraded by selective autophagy.

Fig. 2

a Immunofluorescence microscopy of MEFs expressing GFP-NEK9 and mRuby3-GABARAP under nutrient-rich conditions and amino acid and serum starvation (2 h) conditions with or without 100 nM bafilomycin A1 (baf A1). b Quantification of the number of NEK9 puncta in (a); p values correspond to a Tukey’s multiple comparisons test. c Immunofluorescence microscopy of wild-type and Fip200-KO MEFs expressing GFP-NEK9 (top), and wild-type MEFs expressing GFP-NEK9 W967A (LIR-mutant) (bottom) after starvation (2 h). d, e Quantification of the number of NEK9 puncta in (c); p values correspond to two-tailed Mann–Whitney tests. f Wild-type and Fip200-KO MEFs were incubated under starvation conditions with or without 100 nM bafilomycin A1 for the indicated time. Whole-cell lysates were subjected to immunoblotting. g Quantification of the intensity of the NEK9 bands in (f). Data represent the mean ± SEM values of three independent experiments. h Immunoblotting of indicated organs of three-month-old Atg5+/+ (WT) and Atg5−/−;NSE-Atg5 (KO) mice. Data are representative of three biologically independent replicates. For (b, d, and e), data were collected from 100 cells for each condition. Solid bars indicate the medians, boxes the interquartile range (25th to 75th percentile), and whiskers the 10th to 90th percentile. Scale bars, 10 µm and 3 µm (insets).

The number of NEK9 puncta increased in the presence of the vacuolar ATPase inhibitor bafilomycin A1 (Fig. 2a, b; Supplementary Fig. 1a, b). Also, NEK9 partially colocalized with lysosome marker LAMP1 under starvation conditions (Supplementary Fig. 1d–f). These data indicate that NEK9 is delivered to lysosomes via autophagy. The level of NEK9 decreased over time during starvation, but this reduction was abolished by bafilomycin A1 (Fig. 2f, g). In contrast, the level of NEK9 did not change during starvation in Fip200-KO cells. Furthermore, in Atg5−/−;NSE-Atg5 mice, in which autophagy is blocked in all organs except neuronal cells51, NEK9 accumulated in most organs examined (Fig. 2h). These data suggest that NEK9 is degraded by selective autophagy in culture cells and mouse tissues.

A recent study proposed that NEK9 suppresses selective autophagy by phosphorylating Thr50 within the LIR-docking site of LC3B; knockdown or knockout of NEK9 enhanced p62 degradation, whereas NEK9-mediated phosphorylation of LC3B suppressed p62 degradation48. However, when we depleted NEK9 using three different siNEK9 sequences, we did not observe enhanced p62 degradation (Supplementary Fig. 2a, b). We also generated Nek9-KO cells and measured the level of p62 under nutrient-rich and starvation conditions both with and without bafilomycin A1. Nevertheless, there was no significant difference in p62 level among wild-type cells, Nek9-KO cells, and Nek9-KO cells re-expressing wild-type NEK9 or a kinase-dead mutant (NEK9 T210A) (Supplementary Fig. 2c, d)43. Collectively, we could not observe the inhibitory role of NEK9 in selective autophagy of p62 in our experimental settings; instead, our results indicate that NEK9 is degraded by selective autophagy.

Selective autophagy of NEK9 is required for primary cilia formation

To investigate NEK9’s LIR-dependent function without affecting its kinase activity, we established NEK9 LIR-mutated MEF clones by CRISPR-mediated recombination using a donor plasmid harboring short homology arms (Fig. 3a; Supplementary Fig. 3a)52. In these cells, the endogenous W967 residue, which is essential for binding to GABARAPs (Fig. 1e), was homozygously mutated. NEK9 accumulated in Nek9W967A MEFs (Fig. 3b, c). In these cells, NEK9 did not localize to autophagic membranes (Supplementary Fig. 3b, c) and was not degraded in response to starvation (Supplementary Fig. 3d, e), suggesting that NEK9 is degraded by selective autophagy in a LIR-dependent manner.

Fig. 3. Selective autophagy of NEK9 is required for primary cilia formation.

Fig. 3

a Generation of homozygous Nek9W967A (LIR-mutant) cell lines by CRISPR-mediated recombination using a donor plasmid harboring short homology arms. b Immunoblotting of wild-type or Nek9W967A MEFs (two independent clones, #7 and #13) cultured in nutrient-rich medium. c, Quantification of the intensity of the NEK9 bands in (b). Data represent the mean ± SEM of three independent experiments. d Immunofluorescence microscopy of wild-type or Nek9W967A MEFs after serum starvation (24 h). Centrosomes and primary cilia were stained with anti-pericentrin and anti-ARL13B antibodies, respectively. e The frequency of ciliated cells in (d). f Quantification of cilia length in (d). Data were collected from 100 ciliated cells for each cell-type. g Immunofluorescence microscopy of wild-type or Fip200-KO MEFs after serum starvation (24 h). h The frequency of ciliated cells in (g), as in (e). i Quantification of cilia length in (g), as in (f). Data were collected from 100 ciliated cells for each cell-type. j Immunofluorescence microscopy of wild-type or Nek9-KO MEFs stably expressing the indicated constructs. k The frequency of ciliated cells in (j), as in (e). l Quantification of cilia length in (j), as in (f). Data were collected from 100 ciliated cells for each cell-type. p values correspond to Tukey’s multiple comparisons tests in (c, e, f, k, and l) and two-tailed Mann–Whitney tests in (h) and (i); *p < 0.0001. Scale bars, 10 µm and 3 µm (insets). Data represent the mean ± SEM of five independent experiments (300 cells were counted in each experiment) in (e, h, k). Solid bars indicate the medians, boxes the interquartile range (25th–75th percentile), and whiskers the 10th–90th percentile in (f, i, and l).

We evaluated general autophagic flux using the quantitative GFP-LC3-RFP reporter53,54, and found that it was not affected in Nek9-KO and Nek9W967A cells (Supplementary Fig. 3f). In addition, the lysosomal turnover of p62 and LC3 upon starvation was not impaired in Nek9-KO and Nek9W967A cells (Supplementary Fig. 3g, h). Collectively, these results suggest that generalautophagic activity was maintained in Nek9-KO and Nek9W967A cells.

Based on a previous report suggesting that NEK9 contributes to ciliogenesis through an unknown mechanism47, we examined primary cilia in Nek9W967A MEFs. Centrosome and primary cilia were labeled with anti-pericentrin and ARL13B (a ciliary membrane protein) antibodies, respectively. Primary cilia were formed from basal bodies (mature mother centrioles) under serum starvation conditions1, but their formation was impaired in Nek9W967A MEFs; relative to wild-type MEFs, the frequency of ciliated cells was lower, and cilia length was shorter (Fig. 3d–f). To exclude the possibility that this phenotype was cell-type specific, we generated NEK9W967A HK-2 cells (human renal proximal tubular cell) and obtained similar results (Supplementary Fig. 3i–m). In our experimental conditions, ciliogenesis was also impaired in autophagy-deficient Fip200-KO or Atg3-KO MEFs (Fig. 3g–i; Supplementary Fig. 3n–p), as previously shown2832. Collectively, these results suggest that LIR-dependent selective autophagy of NEK9 is required for ciliogenesis.

To determine whether the kinase activity of NEK9 is required for ciliogenesis, a kinase-dead mutant (NEK9 T210A) was expressed in Nek9-KO MEFs43. Ciliogenesis was impaired in Nek9-KO MEFs, as in Nek9W967A MEFs, but it was restored by the expression of the kinase-dead NEK9 T210A but not the LIR-mutant NEK9 W967A (Fig. 3j–l; Supplementary Fig. 3q). Thus, selective autophagy of NEK9 is required for ciliogenesis, but its kinase activity is not.

Selective autophagy of NEK9 is required for primary cilia formation in mouse kidney

To examine the physiological significance of selective autophagy of NEK9 in vivo, we generated a mouse strain harboring the W967A mutation in NEK9 (Supplementary Fig. 4a). Although homozygous knockout of Nek9 was embryonic lethal (MGI: 2387995), homozygous Nek9W967A/W967A mice were viable, fertile, and of normal size and weight. In Nek9W967A/W967A mice, NEK9 accumulated in most organs tested, particularly in the kidney (Fig. 4a), suggesting that NEK9 is degraded by selective autophagy in vivo.

Fig. 4. Selective autophagy of NEK9 is required for primary cilia formation in mouse kidneys.

Fig. 4

a Immunoblotting of the indicated organs of five-month-old wild-type (WT) and Nek9W967A/W967A mice (KI). Data are representative of three biologically independent replicates. b Immunohistochemistry of the cortical region of kidneys from five-month-old wild-type and Nek9W967A/W967A mice using LTL-FITC (the lumen of proximal-tubular cells) and anti-ARL13B antibody (primary cilia). Scale bars, 40 µm and 5 µm (insets). c Frequency of ciliated cells in LTL-FITC positive cells in (b). Data represent the mean ± SEM of three mice (300 cells were counted in each experiment). d Quantification of cilia length in LTL-FITC positive cells in (b). Data were collected from 100 ciliated cells for each genotype. Solid bars indicate the medians, boxes the interquartile range (25th–75th percentile), and whiskers the 10th–90th percentile. e Hematoxylin and eosin staining of the cortical region of kidneys from five-month-old wild-type and Nek9W967A/W967A mice. Scale bars, 100 µm and 10 µm (insets). f Measurement of the surface area of tubular cells in (e). Examples of measured areas are shown with broken lines in (e). Data represent the mean ± SEM of five mice (300 cells were counted in each experiment); p values correspond to two-tailed Mann–Whitney tests in (c, d, and f).

The kidney is one of the most frequently affected organs in ciliopathies with primary cilia dysfunction2,8. We examined primary cilia of proximal tubular cells in the cortical region of the kidneys and found that primary cilia formation was impaired in Nek9W967A/W967A mice (Fig. 4b–d); relative to wild-type littermates, the frequency of ciliated cells was lower in Nek9W967A/W967A mice, and cilia length was also shorter. As previously observed in proximal tubule-specific Atg7-KO mice31, we also observed impaired ciliogenesis in renal tubular cells of Atg5−/−;NSE-Atg5 mice (Supplementary Fig. 4b–d). These results suggest that selective autophagy of NEK9 is required for primary cilia formation in vivo.

Previous reports suggest that primary cilia negatively regulate cell size through downregulating mTOR activity, and impaired ciliogenesis results in secondary cellular hypertrophy55. In ciliopathy models like Kif3a-deficient mice, enlarged cells were observed in renal tubules56. Consistently, Nek9W967A/W967A mice showed hypertrophy of renal tubular cells (Fig. 4e, f). Renal cysts were not observed in Nek9W967A/W967A mice. Furthermore, we and another group have shown cellular hypertrophy in renal tubular cells of autophagy-deficient mice51,57. Given that the magnitude of cellular hypertrophy was similar between Nek9W967A/W967A and Atg5−/−;NSE-Atg5 kidneys (Fig. 4e, f; Supplementary Fig. 4e, f), these results imply that the cellular hypertrophy previously observed in autophagy-deficient kidneys could be largely due to disturbed primary cilia formation resulting from a defect in selective autophagy of NEK9.

NEK9 is a selective autophagy adaptor for MYH9

There are two possible explanations for ciliogenesis impairment in Nek9W967A/W967A mice: (1) accumulated NEK9 may inhibit ciliogenesis, and (2) NEK9 may act as an autophagy adaptor for a ciliogenesis inhibitory protein. The former is unlikely because ciliogenesis was intact in NEK9-overexpressing cells (Supplementary Fig. 5a–d) and in heterozygous Nek9WT/W967A mice, despite the accumulation of NEK9 (Supplementary Fig. 5e–g). In contrast, ciliogenesis was affected in Nek9-KO MEFs (Fig. 3j–l). Thus, we hypothesized that NEK9 functions as a selective autophagy adaptor that binds to and degrades a suppressor of ciliogenesis.

NEK9 did not localize to the cilium or basal body under serum starvation conditions (Supplementary Fig. 5h), suggesting that cilia components are not cargos of NEK9. To identify NEK9-interacting proteins, we performed immunoprecipitation and mass spectrometry analysis using FLAG-NEK9. Among the 43 potential interacting proteins (Fig. 5a), those with more than five-fold enrichment in the FLAG-NEK9 immunoprecipitates relative to the FLAG-only immunoprecipitates were individually tested for actual interaction with NEK9. We found that NEK9 specifically interacted with MYH9, an isoform of non-muscle myosin II (Fig. 5b; Supplementary Fig. 5i)58. Recent evidence has shown that primary cilia formation is both actin- and microtubule-dependent5961. When ciliogenesis is initiated during cellular quiescence, dynamic remodeling of actin and microtubule cytoskeletons occurs. This enables subsequent migration of the centrosome toward the apical cell surface, where the mother centriole matures into the basal body and the cilium elongates59,62. If branched F-actin is stabilized, it impairs the recruitment of ciliogenesis effectors such as RAB11-positive recycling endosomes to the pericentrosomal preciliary compartment, thereby inhibiting the supply of new membranes and proteins to support cilium growth59,6365. Hence, dynamic actin-network remodeling is required for efficient ciliogenesis.

Fig. 5. NEK9 is a selective autophagy adaptor for MYH9.

Fig. 5

a Results of mass spectrometry analysis of FLAG-NEK9 or FLAG immunoprecipitates. The x- and y-axes represent Peptide Spectrum Match (PSM) and abundance ratio (FLAG-NEK9 / FLAG), respectively. Proteins with an abundance ratio above five were tested for actual interaction with NEK9. Proteins above the dotted line were detected only in FLAG-NEK9 immunoprecipitates. See also Supplementary Data 2. b Immunoprecipitation using MEFs stably expressing FLAG or FLAG-NEK9 after serum starvation (4 h). Data are representative of three independent experiments. c Immunofluorescence microscopy of wild-type and Nek9W967A MEFs stably expressing GFP-MYH9 after serum-starvation (4 h). Cells were stained with anti-NEK9 and anti-LC3 antibodies. Scale bars, 10 µm and 3 µm (insets). d Quantification of the number of GFP-MYH9 puncta in (c). e Colocalization between GFP-MYH9 and endogenous LC3 in (c) was determined by calculating Pearson’s correlation coefficient between intensities within each cell. Data were collected from 100 cells for each cell-type in (d, e). Solid bars indicate the medians, boxes the interquartile range (25th–75th percentile), and whiskers the 10th to 90th percentile. f Immunoblotting of wild-type and Nek9W967A MEFs. g Quantification of the intensity of the MYH9 bands in (f). Data represent the mean ± SEM of three independent experiments. h Immunoblotting of the indicated organs of five-month-old wild-type (WT) and Nek9W967A/W967A mice (KI). Asterisks (*) indicate non-specific bands in skeletal muscles. Data are representative of three biologically independent replicates; p values correspond to Tukey’s multiple comparisons tests.

Non-muscle myosin II is an actin-motor protein that has actin cross-linking and contractile abilities. There are three mammalian isoforms (MYH9, myosin IIA; MYH10, myosin IIB; MYH11, myosin IIC), which have both overlapping and unique properties66. Myosin II has a central role in cell adhesion, cell migration, and tissue architecture58,67,68 and is also involved in primary cilia formation59,62,69,70. MYH9 suppresses actin dynamics by stabilizing the actin filament network and is hypothesized to be a negative regulator of ciliogenesis69. In contrast, MYH10 promotes ciliogenesis by antagonizing MYH969,70.

GFP-tagged MYH9 formed punctate structures in wild-type cells under serum starvation conditions and colocalized with NEK9, LC3, and GABARAP, indicating that MYH9 associates with autophagic membranes (Fig. 5c–e; Supplementary Fig. 5j). In contrast, MYH9 did not form punctate structures in Nek9W967A cells in which NEK9 is not anchored to autophagic membranes (Fig. 5c–e). Thus, NEK9 recruits MYH9 to autophagic membranes. The interaction between NEK9 and MYH9 became stronger in cilia-inducing serum starvation conditions (Supplementary Fig. 5k, l). MYH9 accumulated in Nek9W967A cells (Fig. 5f, g), Fip200-KO cells (Supplementary Fig. 5m, n), and organs of Nek9W967A/W967A mice (Fig. 5h) and Atg5−/−;NSE-Atg5 mice (except the brain, heart, and muscles, in which MYH9 is not expressed71) (Supplementary Fig. 5o). Although MYH9 and MYH10 are supposed to interact and form hetero-oligomers66,69, MYH10 did not interact with NEK9 (Fig. 5b) or accumulate in Nek9W967A/W967A or Atg5−/−;NSE-Atg5 mice (Fig. 5h; Supplementary Fig. 5o). These data suggest that MYH9 is a substrate of selective autophagy that is specifically mediated by NEK9 in a LIR-dependent manner.

NEK9-mediated selective autophagy of MYH9 is required for primary cilia formation

When MYH9 was overexpressed in wild-type MEFs, primary cilia formation was impaired (Supplementary Fig. 6a–d), confirming a previous report that MYH9 is a suppressor of ciliogenesis69. Next, we generated truncated NEK9 constructs to find an MYH9-binding region (Fig. 6a). Mutants lacking the C-terminal region downstream of the LIR (residues 973–979) did not bind to MYH9 (Fig. 6b), suggesting that the region comprising residues 973–979 is important for MYH9 binding. Like the LIR in NEK9, this region is conserved only among terrestrial vertebrates (Fig. 6c; see Fig. 1c). NEK8, a close homolog of NEK9 that lacks the corresponding C-terminal region downstream of RCC1-repeats, did not interact with MYH9 (Supplementary Fig. 5i)72.

Fig. 6. NEK9-mediated selective autophagy of MYH9 is required for primary cilia formation.

Fig. 6

a Schematic representation of the C-terminal regions of Homo sapiens NEK9 and deletion mutants. CC, coiled-coil. b Immunoprecipitation using MEFs stably expressing wild-type or deletion mutation NEK9 constructs after serum starvation (4 h). Data are representative of three independent experiments. c The C-terminal region of Homo sapiens NEK9. The putative MYH9-binding region is colored in magenta (top). Multiple sequence alignment of NEK9 from terrestrial vertebrates (bottom). See also Fig. 1c. d Immunoblotting of wild-type or Nek9-KO MEFs stably expressing indicated constructs. e, Quantification of the intensity of the MYH9 bands in (d). Data represent the mean ± SEM of three independent experiments. f Immunofluorescence microscopy of Nek9-KO MEFs stably expressing indicated constructs after serum starvation (24 h). g Frequency of ciliated cells in f. Data represent the mean ± SEM of five independent experiments (300 cells were counted in each experiment). h Quantification of cilia length in (f). Data were collected from 100 ciliated cells for each cell-type. i Immunofluorescence microscopy of Nek9W967A MEFs in which MYH9 was depleted by two independent shRNAs (#1 and #2). See Supplementary Fig. 6e, f for the knockdown efficiency of MYH9 in these cells. j Frequency of ciliated cells in (i), as in (g). Data represent the mean ± SEM of five independent experiments (300 cells were counted in each experiment). k Quantification of cilia length in (i), as in (h). Data were collected from 100 ciliated cells for each cell-type; p values correspond to a Tukey’s multiple comparisons test; *p < 0.0001. Scale bars, 10 µm and 3 µm (insets). Solid bars indicate the medians, boxes the interquartile range (25th–75th percentile), and whiskers the 10th–90th percentile in (h, k).

To determine whether the LIR and residues 973–979 in NEK9 are required for selective autophagy of MYH9, we expressed the LIR-mutant NEK9 W967A or NEK9 Δ973–979 in Nek9-KO MEFs. Whereas the expression of wild-type NEK9 abolished the accumulation of MYH9 in Nek9-KO MEFs, the expression of NEK9 W967A or NEK9 Δ973–979 did not, although NEK9 Δ973–979 did localize to autophagosomes, as observed for wild-type NEK9 (Fig. 6d, e; Supplementary Fig. 6e). Thus, both the LIR and residues 973–979 in NEK9 are essential for mediating selective autophagy of MYH9. Accordingly, the expression of wild-type NEK9 recovered ciliogenesis in Nek9-KO MEFs, but that of NEK9 Δ973–979 did not (Fig. 6f–h). Thus, NEK9-mediated selective autophagy of MYH9 is required for primary cilia formation.

We next determined whether the C-terminal region of NEK9 including the LIR and residues 973–979 is sufficient to facilitate ciliogenesis. The expression of GFP-tagged NEK9 750–979 restored the defects in ciliogenesis in Nek9-KO MEFs (Supplementary Fig. 6f–i), suggesting that the C-terminal region of NEK9 including the LIR and residues 973–979 is sufficient to regulate ciliogenesis.

To rule out the possibility that NEK9 regulates ciliogenesis by binding to proteins other than MYH9, we observed the effect of MYH9 depletion on Nek9W967A cells. Short hairpin RNA (shRNA)-mediated knockdown suppressed MYH9 expression in Nek9W967A cells to the level observed in serum-starved wild-type cells (Supplementary Fig. 6j, k). In these cells, the defect in ciliogenesis was completely restored (Fig. 6i–k), suggesting that NEK9 regulates ciliogenesis by degrading MYH9.

Selective autophagy of MYH9 promotes ciliogenesis by increasing actin dynamics

Given that MYH9 suppresses actin dynamics by stabilizing the actin filament network69, we monitored actin dynamics in Nek9W967A cells by fluorescence recovery after photobleaching (FRAP) analysis. The fluorescence recovery of GFP-actin after photobleaching was delayed in Nek9W967A cells compared to wild-type cells (Fig. 7) and was completely restored by knockdown of MYH9 (Fig. 7), suggesting that actin dynamics are impaired by the accumulation of MYH9 in Nek9W967A cells. Thus, selective autophagy of MYH9 via NEK9 promotes ciliogenesis by increasing actin dynamics.

Fig. 7. Selective autophagy of MYH9 promotes ciliogenesis by increasing actin dynamics.

Fig. 7

FRAP analysis of GFP-actin in wild-type or Nek9W967A MEFs after serum starvation (24 h). MYH9 was depleted by shRNA-mediated knockdown (#1). Images were recorded at 5-s intervals following photobleaching of the indicated area, and fluorescence recovery at different time points was quantified. Data represent the mean ± SEM of 10 cells. Similar results were obtained using shMYH9 #2 (not shown). See Supplementary Fig. 6e, f for the knockdown efficiency. Scale bars, 10 µm and 3 µm (insets).

Autophagic degradation of NEK9–MYH9 and OFD1 is required for primary cilia formation

OFD1 at centriolar satellites is a negative regulator of ciliogenesis and was previously shown to be degraded by autophagy28. We confirmed that OFD1 at centriolar satellites was degraded under serum starvation conditions, and this degradation was suppressed in Fip200-KO cells (Supplementary Fig. 7a–d). Furthermore, in OFD1-overexpressing cells, OFD1 accumulated at centriolar satellites, even under serum starvation conditions, and primary cilia formation was impaired (Supplementary Fig. 7e–h). Thus, OFD1 at centriolar satellites is indeed a negative regulator of ciliogenesis and undergoes autophagy-dependent degradation.

Next, we examined the relationship between NEK9–MYH9 and OFD1. OFD1 did not colocalize with MYH9 (Supplementary Fig. 8a) and not interact with NEK9 or MYH9 (Supplementary Figs. 5i, 8b). Whereas OFD1-overexpressing cells showed normal actin dynamics (Fig. 8a), OFD1 accumulated at centriolar satellites in Nek9W967A cells (Fig. 8b, c; Supplementary Fig. 8c, d), suggesting that NEK9 regulates the degradation or dynamics of OFD1. However, although knockdown of OFD1 depleted OFD1 at centriolar satellites, it did not restore the defect in ciliogenesis in Nek9W967A cells (Fig. 8b–e; Supplementary Fig. 8c–e), indicating that OFD1 accumulation is not the major cause of the impaired ciliogenesis in Nek9W967A cells. In contrast, MYH9 knockdown depleted OFD1 at centriolar satellites and recovered ciliogenesis (Fig. 8b–e; Supplementary Fig. 8c–e). These data suggest that, although the degradation of OFD1 depends on MYH9 degradation, it seems to be an indirect effect and that NEK9–MYH9 and OFD1 inhibit ciliogenesis at different steps.

Fig. 8. Autophagic degradation of NEK9–MYH9 and OFD1 is required for primary cilia formation.

Fig. 8

a FRAP analysis of GFP-actin in wild-type MEFs stably expressing FLAG or FLAG-OFD1 after serum starvation (24 h). Images were recorded at 5-s intervals following photobleaching of the indicated area, and fluorescence recovery at different time points was quantified. Data represent the mean ± SEM of 10 cells. b Immunofluorescence microscopy of wild-type or Nek9W967A MEFs after serum starvation (24 h). OFD1 or MYH9 was depleted by shRNA-mediated knockdown (shMYH9 #1 was used). Similar results were obtained using shMYH9 #2 and two independent shOFD1 (not shown). See Supplementary Fig. 8b–d for the knockdown efficiency. c Percentage of cells with centriolar satellites OFD1 in (b). Data represent the mean ± SEM of three independent experiments (100 cells were counted in each experiment). d Frequency of ciliated cells in (b). Data represent the mean ± SEM of five independent experiments (300 cells were counted in each experiment). e Quantification of cilia length in (b). Data were collected from 100 ciliated cells for each cell-type. Solid bars indicate the medians, boxes the interquartile range (25th–75th percentile), and whiskers the 10th–90th percentile. f Immunofluorescence microscopy of wild-type or Fip200-KO MEFs after serum starvation (24 h). OFD1 and/or MYH9 were depleted by shRNA-mediated knockdown. See Supplementary Fig. 8e–g for the knockdown efficiency. g Frequency of ciliated cells in (f), as in (d). h Quantification of cilia length in (f), as in (e); p values correspond to a Tukey’s multiple comparisons test; *p < 0.0001. Scale bars, 10 µm and 3 µm (insets). i Model of how autophagy drives primary cilia formation.

Finally, we determined the contribution of autophagy-dependent degradation of MYH9 and OFD1 to ciliogenesis by depleting MYH9 and/or OFD1 in autophagy-deficient Fip200-KO MEFs. Although shMYH9 and shOFD1 suppressed the expression of these proteins to levels observed in serum-starved wild-type cells (Supplementary Fig. 8f–h), single knockdown of MYH9 or OFD1 only partially rescued the defect in ciliogenesis. In contrast, knockdown of both MYH9 and OFD1 completely restored the defect (Fig. 8f–h), further indicating the indirect relationship between MYH9 and OFD1. These data suggest that the autophagic degradation of both MYH9 and OFD1 is important for ciliogenesis and that autophagy drives primary cilia formation at least at two distinct steps (Fig. 8i).

Discussion

Autophagy regulates primary cilia formation, but the underlying mechanism is not fully understood. In this study, we showed that NEK9 functions as a selective autophagy adaptor to degrade MYH9. Considering the previous report that MYH9 suppresses actin dynamics prior to ciliogenesis69, our data suggested that selective autophagy of NEK9–MYH9 promotes ciliogenesis by increasing actin dynamics. The antagonistic activity between MYH9 and MYH10 indicates that the regulation of relative amounts of these proteins is important for ciliogenesis, but the underlying mechanism has remained largely unknown69. Our results suggest that selective autophagy decreases the relative amount of MYH9 to MYH10 and promotes ciliogenesis. The LIR and the putative MYH9 binding region (residues 973–979) of NEK9 are in close proximity. Given that regions around the core LIR could also be involved in interaction with ATG8s, this proximity may prevent NEK9 from binding to both ATG8s and MYH9 at the same time (Fig. 6c)12,73. One possible explanation is that NEK9 forms a dimer through the coiled-coil region38,42 and binds to MYH9 and ATG8s in trans.

We showed that OFD1 does not interact with MYH9 and that both associate with autophagic membranes independently (Supplementary Fig. 5i and Supplementary Fig. 8a, b). Consistently, a recent paper revealed that OFD1 has a LIR motif and interacts directly with ATG8 proteins74. Nevertheless, our data suggest that the degradation of OFD1 may be partially dependent on that of NEK9–MYH9. Actin network remodeling preceding ciliogenesis allows other organelles, including RAB11-positive recycling endosomes, access to the vicinity of centriolar satellites. Thus, although autophagic degradation of NEK9–MYH9 and OFD1 seems to promote ciliogenesis at different steps, it is possible that increased actin dynamics by selective autophagy of MYH9 indirectly facilitates the degradation of OFD1 at centriolar satellites59.

This study is consistent with a previous report that NEK9 could be a causative gene of ciliopathies47. Lethal skeletal dysplasia and impaired ciliogenesis were observed in a patient with a nonsense mutation (c.1489 C > T; p.Arg497*) in NEK9. No NEK9 protein was detected in patient fibroblasts, indicating both the kinase activity and autophagy adaptor function were lost47. Whereas skeletal dysplasia is widely accepted as a common feature of ciliopathy, Nek9W967A/W967A mice exhibited no skeletal abnormalities, despite showing a defect in ciliogenesis. Therefore, the skeletal dysplasia observed in NEK9-related diseases is probably due to mitotic dysregulation resulting from the loss of NEK9 kinase activity, rather than impaired ciliogenesis. Other NEK proteins, such as NEK1 and NEK8, are also involved in ciliogenesis. However, the NEK9 sequence containing the LIR and potential MYH9-binding site are not conserved in NEK1 and NEK8. Rather, NEK1 and NEK8 localize directly to the basal body and cilia to promote cilia formation depending on their kinase activity (at least for NEK8)72. This is in sharp contrast to the case of NEK9, which promotes ciliogenesis without localizing to these organelles in a kinase-activity-independent manner (Fig. 3j; Supplementary Fig. 6g). Nevertheless, we do not rule out the possibility that the kinase activity of NEK9 contributes to ciliogenesis, as observed for other NEK proteins. It would be reasonable to assume that NEK9 acquired the LIR-dependent function in ciliogenesis because it already had a still-undiscovered cilia-related function.

We did not observe any renal cysts in Nek9W967A/W967A mice. Consistently, renal cysts have never been reported in autophagy gene-deficient mice31,51,57. Although impaired degradation of NEK9–MYH9 by selective autophagy suppressed ciliogenesis and induced secondary cellular hypertrophy in renal tubular cells, cilia managed to grow in about half of these cells (Fig. 4b; Supplementary Fig. 4b), which may prevent cyst formation.

A dramatic functional evolution occurred in the vertebrate kidney during the fish-to-tetrapod transition to overcome physiological changes75, including acquisition of the ability to excrete nitrogen or maintain homeostasis of water and various small molecules. During this evolution, the vertebrate kidney acquired primary cilia; in contrast to primary cilia found in the kidneys of higher vertebrates, all cilia in fish kidneys are motile76,77. Therefore, we speculate that the evolutionary acquisition of the LIR of NEK9 was critical for the newly-acquired primary cilia formation in the tetrapod kidney and thus for the adaptation of vertebrates to terrestrial habitats.

Methods

Cell lines

Mouse embryonic fibroblasts (MEFs), HeLa cells, and HEK293T cells were cultured in Dulbecco’s modified Eagle’s medium (DMEM) (D6546; Sigma-Aldrich) supplemented with heat-inactivated 10% fetal bovine serum (FBS; 173012; Sigma-Aldrich) and 2 mM l-glutamine (25030-081; GIBCO) in a 5% CO2 incubator. HK-2 cells were cultured in DMEM/F-12 (Dulbecco’s modified Eagle’s Medium Nutrient Mixture F-12; 11320033; GIBCO) medium supplemented with 10% FBS, 1% ITS (insulin, transferrin and sodium selenite media supplement, I1884; Sigma-Aldrich), and 2 mM l-glutamine. For the starvation treatment, cells were washed twice with phosphate-buffered saline (PBS) and incubated in amino acid-free DMEM (048-33575; Wako Pure Chemical Industries) without serum. For the serum-starvation treatment, cells were washed twice with PBS and incubated in DMEM supplemented with 2 mM l-glutamine. Fip200-KO78 and Atg3-KO79 MEFs have been described previously. To generate stable cell lines, cells were cultured with retrovirus or lentivirus, and stable transformants were selected with puromycin (P8833; Sigma-Aldrich), blasticidin (022-18713; Wako Pure Chemical Industries), or geneticin (10131035; Thermo Fisher Scientific).

Mouse strains

All animal experiments were approved by the Institutional Animal Care and Use Committee of the University of Tokyo (Medical-P17-084) and the Animal Care and Use Committee of the National Institute of Quantum and Radiological Science and Technology (1610111 and 1610121). Wild-type C57BL/6 mice were obtained from Japan SLC, Inc. Atg5−/−;NSE-Atg5 mice have been previously described51. There was no bias between male and female mice used in our study. Wild-type or mutant neonatal mice were prepared by mating male and female mice at 2–10 months of age. We analyzed 5-month-old Nek9W967A/W967A or Nek9WT/W967A mice and three-month-old Atg5−/−;NSE-Atg5 mice for the analysis of the kidney. All mice were housed in a specific pathogen-free room maintained at a constant ambient temperature of 22-26 degree Celsius, 40-65% of humidity under a 12 h light/dark cycle with free access to food and drink.

Generation of Nek9W967A/W967A mice

Nek9W967A/W967A mice were generated by CRISPR-mediated knockin of the W967A mutation at the mouse Nek9 genomic locus. Oocyte/embryo manipulation was performed as previously described54. Briefly, MII oocytes were collected from superovulated C57BL/6 J females and fertilized in vitro. The fertilized one-cell embryos were washed with Opti-MEM I (Life Technologies) and transferred into a 1-mm electroporation cuvette (CUY501P1-1.5; Nepa Gene Co.) containing 5 μL of a mixture of recombinant Cas9 protein (50 ng/μL, Nippon Gene), gRNA (0.8 μM, Alt-R CRISPR-Cas9 System; Integrated DNA Technologies), and ssODN (0.5 μg/μL, PAGE Ultramer DNA Oligo; Integrated DNA Technologies) in Opti-MEM I. The sequence of the gRNA targeting exon 22 of mouse Nek9 was 5′-TCGGAGTCCTGGTGCCTCCT-3′. The sequence of the donor oligonucleotide (ssODN) was 5′-TCCTGAGGGCTATGTGGGCTCAGGAGACTAGAGGCTGGGTCGACAAGAGTCTGTTCCGAGGAGGCAGGCGGACTCCGAGTCTAAGTCAGGCTTTGGATCCATTTCCATTTCTTCCTTTGCTGTCTGGGT-3′. Electroporation was conducted using a NEPA21 Super Electroporator (Nepa Gene Co.) under the following conditions: four poring pulses at 40 V, with a pulse width of 3.5 ms and pulse interval of 50 ms; five transfer pulses at 7 V, with a pulse width of 50 ms and pulse interval of 50 ms. After electroporation, the embryos were immediately recovered from the cuvette, washed with Opti-MEM I, and cultured overnight in KSOM medium. The embryos that developed normally to the two-cell stage were transferred to the oviduct of pseudopregnant ICR females (CLEA Japan, Inc.) on the day of the vaginal plug (Day 0.5). Genomic DNA of offspring (F0 founders) was collected by tail biopsy and used for genotyping. F0 founders harboring potential mutant alleles were bred to wild-type C57BL/6 J mice, and mutations in the F1 generation were confirmed by sequencing. Genotyping was performed by PCR using primers flanking the target site (forward primer, 5′-CAGCCAGTTCACTTTTCATACTACATCCCCCAAATG-3′; reverse primer, 5′-CAAAGCCAGGTCCACAGGACCCTTCCATTCTCCCA-3′).

Plasmids

cDNAs encoding human NEK9 (NP_001316166.1), MYH9 (NP_002464.1), OFD1 (NP_001317138.1), GABARAP (NP_009209), GABARAPL1 (NP_113600), LC3B (NP_073729), Actin (NP_001092.1) were inserted into pMRX-vector80. DNAs encoding enhanced GFP, codon-optimized mRuby3 (modified from pKanCMV-mClover3-mRuby3; 74252; Addgene)81, and 3 × FLAG were also used for tagging. pMXs-GFP-LC3-RFP vector was described previously81. Mutated or truncated constructs were prepared by PCR-mediated site-directed mutagenesis. Single-guide RNAs (sgRNAs) targeting exon 2 of mouse Nek9 (5′-CACCACCCTGCTGATTGAGC-3′, 5′-GCTGATTGAGCTGGAGTACT-3′), exon 22 of mouse Nek9 (5′-TCGGAGTCCTGGTGCCTCCT-3′) and exon 22 of human NEK9 (5′-TACAGGAGTCTGTTCCCAGG-3′) were cloned into pSpCas9(BB)-2AGFP (a gift from Dr. F. Zhang, Broad Institute of Massachusetts Institute of Technology; Addgene #48138). For generation of Nek9W967A MEFs and NEK9W967A HK-2 cells, donor plasmids harboring short homology arms (800 bps each, with one arm covering exon 22 of mouse Nek9 or human NEK9, which includes the bases encoding the LIRs) were generated from the pCMV vector. The homology arms were amplified by PCR and inserted between the BamHI and HindIII sites of the pCMV vector. The primer sequences were 5′-GGATCCGAAGGGAGGGAAGAGTCATTCCTTGGCTCTG-3′, 5′-GGATCCTTTCCTGAGGGCTATGTGGGCTCAGGAGACT-3′, 5′-AAGCTTCTGGGACCCAAAGAACTTCACCGCACACTTAC-3′, and 5′-AAGCTTCTGAAGCTTCAAACATCCACGGTGAAAGCAAC-3′ for Nek9W967A MEFs and 5′-GGATCCCATTAAACATTTTTAGTGAAAATACTTCAAAG-3′, 5′-GGATCCCTAGAGGCTGGGTCTACAGGAGTCTGTTCC-3′, 5′-AAGCTTTCTCCTGAGCCTGTAGAGCCCCCAGGAGACT-3′, and 5′-AAGCTTCTAGACATTCAGAAAGAAAGTGGTTGGGGCTG-3′ for NEK9W967A HK-2 cells. A neomycin-resistance gene was inserted into the PstI site of the pCMV vector. The W967A mutation in NEK9 was introduced by PCR-mediated site-directed mutagenesis. A complete list of all primers used was supplied in Supplementary Table 3.

Antibodies and reagents

The following antibodies were used for immunoblotting: mouse monoclonal antibody against HSP90 (1:5000 dilution, 610419; BD) and rabbit polyclonal antibodies against NEK9 (1:5000 dilution, A301-139A; Bethyl), NEK8 (1:5000 dilution, A0984; ABclonal), NEK7 (1:5000 dilution, 3057 S; Cell Signaling), MYH9 (1:5000 dilution, A0173; ABclonal), MYH10 (1:5000 dilution, A12029; ABclonal), OFD1 (1:2500 dilution, NBP1-89355; Novus Biologicals), GABARAP (1:2500 dilution, 13733 S; Cell Signaling Technology), p62/SQSTM1 (1:5000 dilution, PM045; MBL), GFP (1:10000 dilution, A6455; Thermo Fisher Scientific), and FLAG (1:10000 dilution, F7425; Sigma-Aldrich), LC3 (1:10000 dilution, M152-3; MBL). HRP-conjugated anti-mouse and anti-rabbit IgG (1:10000 dilution, 111-035-003, 111-035-144; Jackson ImmunoResearch Laboratories) antibodies were used as secondary antibodies. The following antibodies were used for immunocytochemistry and immunohistochemistry: rabbit polyclonal antibodies against FIP200 (1:200 dilution, 17250-1-AP; ProteinTech), WIPI2 (1:200 dilution, SAB4200400; Sigma-Aldrich), LAMP1 (1:200 dilution, ab24170; Abcam), NEK9 (1:200 dilution, A301-139A; Bethyl), OFD1 (1:100 dilution, NBP1-89355; Novus Biologicals), and pericentrin (1:200 dilution, abcam; 4448) and mouse monoclonal antibodies against LC3 (1:100 dilution, CTB-LC3-2-IC; CosmoBio), NEK9 (1:100 dilution, sc-100401; Santa Cruz), FIP200 (1:200 dilution, MABC128; Sigma-Aldrich), WIPI2 (1:200 dilution, MABC91; Sigma-Aldrich), LAMP1 (1:200 dilution, ab25630; abcam), and ARL13B (1:200 dilution, ab136648; abcam). Alexa Fluor 488-conjugated goat anti-mouse IgG, Alexa Fluor 568-conjugated goat anti-rabbit IgG, and Alexa Fluor 660-conjugated goat anti-mouse IgG (1:200 dilution, A-11029, A-11036, and A-21055; Thermo Fisher Scientific) were used as secondary antibodies. Hoechst 33342 (1:200 dilution, H342; Dojindo Molecular Technologies) or DAPI-containing SlowFade Antifade Mountant (S36938; Thermo Fisher Scientific) was used to stain DNA. LTL-FITC (1:200 dilution, Vector Laboratories; FL-1321-2) was used to stain proximal tubular cells. For transient expression, Fugene HD (VPE2311; Promega) was used. For bafilomycin A1 treatment, cells were cultured with 100 nM bafilomycin A1 (B1793; Sigma-Aldrich).

Preparation of lentivirus and retrovirus

To prepare the lentivirus, HEK293T cells were transiently transfected with a lentiviral vector together with pCMV-VSV-G (a gift from Dr. R. A. Weinberg, Whitehead Institute for Biomedical Research) and psPAX2 (a gift from Dr. D. Trono, Ecole Polytechnique Federale de Lausanne) using Lipofectamine 2000 (11668019; Thermo Fisher Scientific). After cells were cultured for 2–3 days, the supernatant was collected and passed through a 0.45-mm syringe filter unit (SLHV033RB; EMD Millipore). To prepare the retrovirus, HEK293T cells were transiently transfected with a retroviral vector together with pCG-VSV-G and pCG-gag-pol (a gift from Dr. T. Yasui, National Institutes of Biomedical Innovation, Health and Nutrition) using Lipofectamine 2000, and viral particles were collected from the supernatant as described above.

Establishment of Nek9-KO MEFs

Wild-type MEFs were transfected with pSpCas9(BB)-2AGFP encoding sgRNAs targeting exon 2 of mouse Nek9. Two days after transfection, GFP-positive cells were isolated using a cell sorter (MoFlo Astrios EQ; Beckman Coulter), and single clones were obtained. Clones with mutations in both alleles were identified by immunoblotting and sequencing of genomic DNA.

Establishment of Nek9W967A MEFs and NEK9W967A HK-2 cells

To generate Nek9W967A MEFs, wild-type MEFs were co-transfected with pSpCas9(BB)-2AGFP encoding the sgRNA targeting exon 22 of mouse Nek9 and the donor plasmid described above. Two days after transfection, GFP-positive cells were isolated using a cell sorter. After geneticin selection, single clones were obtained by the limiting dilution method. Clones harboring the W967A mutation and the neomycin-resistant cassette in both alleles were identified by PCR (forward primer, 5′-CTTTCACCCCTAACGTGAGTTTGGACTTCTTACTTTGTG-3′; reverse primer, 5′-CTGAAGCTTCAAACATCCACGGTGAAAGCAACCTGAGC-3′) and sequencing of genomic DNA. NEK9W967A HK-2 clones were similarly generated and identified by PCR (forward primer, 5′-ATAGACACCTTGTATGGTTCTTTGGAGGATTAAATGAACT-3′; reverse primer, 5′-AAGAAAGTGGTTGGGGCTGCTGATATCAAGATCAGAACC-3′) and sequencing of genomic DNA.

siRNA-mediated knockdown

Stealth RNAi oligonucleotides were obtained from Thermo Fisher Scientific. The following sequences were used: siNEK9#1, 5′-AAUAGCAGCUGUGUGAGUCUUG-3′; siNEK9#2, 5′-GCAGCCAAACUUUGAUUAAAGUU-3′; siNEK9#3, 5′-GCUGCCUUGGGAAUUCAGUACCA-3′; and siLuciferase (siLuc), 5-AAUUAAGUCCGCUUCUAAGGUUUCC-3′. The stealth RNAi oligonucleotides were transfected into cells using Lipofectamine RNAiMAX (13778150; Thermo Fisher Scientific) according to the manufacturer’s instructions. Cells were harvested three days after transfection.

shRNA-mediated knockdown

pLKO.1-blast vectors (a gift from Keith Mostov; Addgene plasmid # 26655) respectively containing shRNAs to Myh9 (sh#1, 5′- CCATACAACAAATACCGCTT-3′; sh#2, 5′-GGTAAATTCATTCGTATCAA-3′) and Ofd1 (sh#1, 5′-GCTAGAATCTTTAGAGACAAA-3′; sh#2, 5′-TCACAAGAAGTCACGTAATAT-3′) as well as a non-targeting control (shScramble, 5′-CAACAAGATGAAGAGCACCAA-3′) were packaged into the lentivirus as described above. Cells were infected with the lentivirus, and stable transformants were selected with blasticidin. The knockdown efficiency was measured by immunoblotting.

Immunofluorescence

Cells grown on coverslips were washed with PBS and fixed in 4% paraformaldehyde (PFA; 09154-85; Nacalai Tesque) for 10 min at room temperature or in 100% methanol (21914-03;Nacalai Tesque) for 5 min at −30 °C. The PFA-fixed cells were permeabilized with 50 mg/mL digitonin (D141; Sigma-Aldrich) in PBS for 5 min, blocked with 3% bovine serum albumin (BSA; 011-27055; Wako Pure Chemical Industries) in PBS for 30 min, and then incubated with primary antibodies for 1 h at room temperature or overnight at 4 °C (for anti-OFD1 antibody). After washing three times with PBS, cells were incubated with Alexa Fluor 488/568/660-conjugated goat anti-mouse or anti-rabbit IgG secondary antibodies for 1 h at room temperature. Fluorescence microscopy was performed using a confocal laser microscope (FV1000 IX81; Olympus) with a 100 × oil-immersion objective lens (1.40 NA; Olympus) and captured with FluoView software (FV10-ASW, Olympus). The number of punctate structures and the colocalization rate were determined using Fiji software (ImageJ). For primary cilia quantification, cells were incubated to confluency and serum-starved for 24 h before fixation, and immunofluorescence images were obtained in 15 serial z-stack series at 0.4-μm intervals. The percentage of cells with cilia was measured by dividing the number of cilia (ARL13B-positive structures) by the number of nuclei (DAPI). Cilia length was determined by the Pythagorean theorem method82.

Histology and immunohistochemistry

For hematoxylin and eosin staining, mouse tissues were fixed in 4% PFA overnight at 4 °C, and infiltrated with 15% and then 30% sucrose in PBS for 4 h each. Tissues were then embedded in Tissue-Tek OCT Compound (Sakura Japan Co.) and frozen at −80 °C. Sections (7 μm) were prepared using a cryostat (CM3050 S, Leica Microsystems) and mounted on slides. Cryosections were stained with hematoxylin and eosin and photographed using a microscope (BX51; Olympus) equipped with a digital camera (DP70; Olympus). For immunohistochemistry, mouse tissues were frozen after fixation in Tissue-Tek OCT Compound and cryosections were prepared. Cryosections were permeabilized with 50 mg/mL digitonin in PBS for 5 min, blocked with 3% BSA in PBS for 30 min, and incubated with primary antibodies in 3% BSA for 1 h, followed by a PBS wash and incubation for 1 h with secondary antibodies.

Immunoprecipitation and immunoblotting

Cells were lysed in a lysis buffer (50 mM Tris-HCl, pH 7.5, 150 mM NaCl, 1 mM EDTA, 1% Triton X-100, PhosSTOP [4906837001; Roche], and complete EDTA-free protease inhibitor [03969-21;Nacalai Tesque]). After centrifugation at 17,700 × g for 10 min, the supernatants were incubated with anti-FLAG M2 affinity gel (A2220; Sigma-Aldrich) for 3 h at 4 °C with gentle rotation. Precipitated immunocomplexes were washed three times in washing buffer (50 mM Tris-HCl, pH 7.5, 150 mM NaCl, 1 mM EDTA, and 1% Triton X-100) and boiled in sample buffer (46.7 mM Tris- HCl, pH 6.8, 5% glycerol, 1.67% sodium dodecyl sulfate, 1.55% dithiothreitol, and 0.02% bromophenol blue). Samples were subsequently separated by sodium dodecyl sulfate polyacrylamide gel electrophoresis and transferred to Immobilon-P polyvinylidene difluoride membranes (IPVH00010; EMD Millipore). Immunoblotting analysis was performed with the indicated antibodies. Super-Signal West Pico Chemiluminescent Substrate (1856135; Thermo Fisher Scientific) or Immobilon Western Chemiluminescent HRP Substrate (P90715; EMD Millipore) was used to visualize the signals, which were detected using the Fusion Solo 7 S system (M&S Instruments). Appropriate contrast and brightness adjustment and quantification were performed using Fiji software (ImageJ).

Flow cytometry

Cells stably expressing GFP-LC3-mRFP were treated with 250 nM Torin 1 (4247, Tocris Bioscience) in DMEM for 24 h. The cells were harvested by trypsinization followed by centrifugation at 2,500 g for 2 min, resuspended in ice-cold PBS, treated with 1% 7-amino-actinomycin D (51-68981E, BD Pharmingen) for 10 min on ice, and then diluted with ice-cold PBS. The cells were analyzed by the cell analyzer (EC800, SONY) equipped with 488-nm and 561-nm lasers. Data were processed using a Kaluza Analysis 2.1 software (Beckman Coulter).

Liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis of GABARAPL1 and GABARAPL1Y49A/L50A immunoprecipitates

FLAG-GABARAPL1 and FLAG-GABARAPL1Y49A/L50A plasmids were prepared as described above. FLAG-GABARAPL1 and FLAG-GABARAPL1Y49A/L50A-interacting proteins were immunoprecipitated from HEK293T cells and identified by LC-MS/MS analysis using a high-performance LabDroid system at Robotic Biology Institute (https://rbi.co.jp/en/). Briefly, HEK293T cells transiently expressing FLAG-GABARAPL1 and FLAG-GABARAPL1Y49A/L50A were lysed with lysis buffer (20 mM HEPES-NaOH, pH 7.5, containing 1% digitonin, 150 mM NaCl, 50 mM NaF, 1 mM Na3VO4, 5 mg/mL leupeptin, 5 mg/mL aprotinin, 3 mg/mL pepstatin A, and 1 mM phenylmethylsulfonylfluoride) and centrifuged at 20,000 × g for 10 min to remove insoluble materials. The supernatants were subjected to immunoprecipitation using anti-FLAG M2 magnetic beads (M8823; Sigma-Aldrich). Precipitated immunocomplexes were washed three times in washing buffer (10 mM HEPES-NaOH, pH 7.5, 150 mM NaCl, and 0.1% Triton X-100) and eluted with FLAG peptides. The samples obtained were subjected to trichloroacetic acid precipitation. The resulting pellets were dissolved in 0.1 M ammonium bicarbonate (pH 8.8) containing 7 M guanidine hydrochloride, reduced using 5 mM TCEP (tris-(2-carboxyethyl)phosphine; 77720; Thermo Fisher Scientific), and subsequently alkylated using 10 mM iodoacetamide. After alkylation, samples were digested with lysyl-endopeptidase (129-02541; Wako Pure Chemical Industries) for 3 h at 37 °C and then further digested with trypsin (4352157; Sigma-Aldrich) for 14 h at 37 °C. Digested peptide samples were analyzed using a nanoscale LC-MS/MS system as previously described83. The peptide mixture was applied to a Mightysil-PR-18 (Kanto Chemical) frit-less column (45 × 0.150 mm ID) and separated using a 0–40% gradient of acetonitrile containing 0.1% formic acid for 80 min at a flow rate of 100 nL/min. Eluted peptides were sprayed directly into a Triple TOF 5600+ mass spectrometer (Sciex). MS/MS spectra were obtained using the information-dependent mode. The MS survey spectrum was acquired in the range of 400 to 1250 m/z in 250 ms. For information-dependent acquisition, the 25 highest intensity precursor ions above 50 counts threshold with charge states 2+ and 3+ were selected for MS/MS scans. Each MS/MS experiment set the precursor m/z on a 12 s dynamic exclusion, and the scan range was 100 to 1500 m/z in 100 ms. All MS/MS spectra were searched against protein sequences of NCBI nonredundant human protein dataset (NCBInr RefSeq Release 71, containing 179,460 entries) using the Paragon Method in Protein Pilot software package (Sciex) with following parameters: Cystein Alkylation, iodoacetamide; Digestion, Trypsin; Detected Protein Threshold [Unused ProtScore (Conf.)] >: 5.0 (95.0%)84. Protein quantification was performed using the iBAQ method85 without conversion to absolute amounts using universal proteomics standards (iBQ). The iBQ value was calculated by dividing the sum of the ion intensities of all the identified peptides of each protein by the number of theoretically measurable peptides.

LC-MS/MS analysis of FLAG-NEK9 immunoprecipitates

MEFs stably expressing FLAG or FLAG-NEK9 were incubated to confluency, serum-starved for 24 h, and lysed with lysis buffer (50 mM Tris-HCl, pH 7.5, 150 mM NaCl, 1% NP-40, and complete EDTA-free protease inhibitor [03969-21; Nacalai Tesque]). After centrifugation at 17,700 × g for 10 min, the supernatants were incubated with anti-FLAG M2 magnetic beads for 3 h at 4 °C with gentle rotation. The eluted proteins were enzymatically digested according to a phase-transfer surfactant (PTS) protocol86. Then, 50-μL eluted samples were mixed with 85 μL of PTS buffer. Samples were reduced with 10 mM dithiothreitol at room temperature for 30 min and alkylated with 50 mM 2-iodoacetamide (804744; Sigma-Aldrich) at room temperature for 30 min. Next, samples were diluted five-fold by adding 50 mM NH4HCO3 solution followed by digestion with 1 μg of Lysyl Endopeptidase (LysC; 121-05063; Wako Pure Chemical Industries) at 37 °C for 4 h. Samples were further digested with 1 μg of trypsin at 37 °C for 8 h. An equal volume of ethyl acetate acidified with 0.5% TFA was added to the digested samples. After centrifugation at 10,000 × g for 10 min twice at room temperature, the aqueous phase containing peptides was collected and dried using a SpeedVac concentrator (Thermo Fisher Scientific). The dried peptides were solubilized in 100 μL of 2% acetonitrile and 0.1% TFA, and the peptide mixture was trapped on a hand-made C18 STAGE tip prepared as previously reported87. The trapped peptides were subjected to a previously reported dimethyl-labeling procedure87. Subsequently, 13CH2O and NaBH3CN (light label) were added to the FLAG-only sample. Similarly, 13CD2O and NaBD3CN (heavy label) were added to the FLAG-NEK9 sample. The dimethyl-labeled peptides left on the tip were eluted with 100 μL of 80% acetonitrile and 0.1% TFA. The light/heavy-labeled eluents were mixed and dried using a SpeedVac concentrator. The sample was dissolved in 2% acetonitrile and 0.1% TFA and loaded onto the LC-MS system with a Q-Exactive MS instrument (Thermo Fisher Scientific) equipped with a nano HPLC system (Advance UHPLC; Bruker Daltonics) and an HTC-PAL autosampler (CTC Analytics) with a trap column (0.3 × 5 mm, L-column, ODS, Chemicals Evaluation and Research Institute). Samples were separated by a gradient using mobile phases A (0.1% formic acid/H2O) and B (0.1% formic acid and 100% acetonitrile) at a flow rate of 300 nL/min (4% to 32% B for 190 min, 32% to 95% B for 1 min, 95% B for 2 min, 95% to 4% B for 1 min, and 4% B for 6 min) with a home-made capillary column (length of 200 mm and inner diameter of 100 μm) packed with 2-μm C18 resin (L-column2, Chemicals Evaluation and Research Institute). Then, the eluted peptides were electrosprayed (1.8–2.3 kV) and introduced into the MS equipment. Data was obtained using the positive ion mode of data-dependent MS/MS (ddMS2) acquisition. Full MS sectra were obtained with a scan range of 350–1800 m/z with 70,000 FWHM resolution at 200 m/z. MS2 spectra were obtained with 17,500 FWHM resolution at 200 m/z. For the ddMS2 acquisition, the 10 highest precursor ions (excluding isotopes of a cluster) above 1.7e4 intensity threshold with charge state from 2+ to 5+ were selected at 4.0 m/z isolation window. A 20 s dynamic exclusion was applied. The obtained raw data were subjected to database search (UniProt, reviewed mouse database as of September 13th, 2018) with Sequest HT algorithm running on Proteome Discoverer 2.2 (Thermo Fisher Scientific). The parameters for database searches were as follows: peptide cleavage was set to trypsin; missed cleavage sites were allowed to be up to two residues; peptide lengths were set to 6–144 amino acids; and mass tolerances were set to 10 ppm for precursor ions and 0.02 Da for fragment ions. For modification conditions, carbamidomethylation at cysteine and dimethylation [H(4)C(2), or H(-2)D(6)13C(2)] at lysin and peptide N-terminus were set as fixed modifications. Oxidation at methionine was set as a variable modification. A significance threshold of p < 0.05 was applied. Abundances of precursor ions were calculated based on the area of the precursors with Proteome Discoverer 2.2.

Fluorescence recovery after photobleaching

MEFs expressing GFP-actin were incubated to confluency and serum-starved for 24 h before analysis. Fluorescence microscopy was performed using a confocal laser microscope (FV3000; Olympus) with a 100 × oil-immersion objective lens (1.40 NA; Olympus) and captured with FluoView software (FV31S-SW, Olympus). The chamber was maintained at 37 °C and continuously supplied with humidified 5% CO2. Five pre-bleaching images were acquired at 5-s intervals, and circular regions of interest (ROI) with radii of 2 µm were selected and bleached with an 80% power 488-nm laser for 800 ms. Fluorescence recovery was recorded for 250 s by acquiring images at 5 s intervals. Pre- and post-bleach images were taken with 0.5% power. Fluorescence intensity was analyzed by Fiji and its simFRAP plug-in (https://imagej.nih.gov/ij/plugins/sim-frap/index.html). Briefly, the mean intensity values of the ROIs, total image, and background fluorescence were calculated. After background subtraction, the mean intensity values of ROIs were normalized with those of each total image for each time-point.

Multiple sequence alignment and sequence analysis

Amino acid sequences of each protein were obtained from the NCBI protein database and aligned using the ClustalW algorithm in MEGA 10.0.588. The disordered regions were predicted using the PSIPRED protein sequence analysis workbench (http://bioinf.cs.ucl.ac.uk/psipred/). The LIR was predicted using iLIR search (https://ilir.warwick.ac.uk/).

Statistical analysis

Statistical analysis was performed using GraphPad Prism 8.0 software (GraphPad software). The statistical methods used for each analysis are specified in the figure legends.

Reporting summary

Further information on research design is available in the Nature Research Reporting Summary linked to this article.

Supplementary information

Peer Review File (2.6MB, pdf)
Supplementary Data 1 (777.7KB, xlsx)
Supplementary Data 2 (13.6KB, xlsx)
Supplementary Data 3 (35.6KB, xlsx)
41467_2021_23599_MOESM6_ESM.docx (11.4KB, docx)

Description of Additional Supplementary Files

Reporting Summary (2.8MB, pdf)

Acknowledgements

We thank Takahide Nagase for his mentorship and encouragement, Hayashi Yamamoto for constructive discussion, Saori Yoshii for mouse sampling, Keiko Igarashi for help with histological examinations, Shoji Yamaoka for pMRX-vector, Teruhito Yasui for pCG-VSV-G and pCG-gag-pol, Robert A. Weinberg for pCMV-VSV-G, Didier Trono for psPAX2, and Keith Mostov for pLKO.1-blast vector. This work was supported by a grant for Exploratory Research for Advanced Technology (grant number JPMJER1702 to N.M.) from the Japan Science and Technology Agency.

Source data

Source Data (3.2MB, xlsx)

Author contributions

N.M. conceived the project. Y.Y. designed and performed most of the experiments with help from H.C. H.C. performed GABARAPL1-interactome analysis. S.T. generated Nek9W967A/ W967A mice. K.L.O. and H.R.U. performed LC-MS/MS of FLAG-NEK9 immunoprecipitates. Y.Y. and N.M. wrote the manuscript with input from all authors.

Data availability

The datasets generated during and/or analyzed in the current study are available from the corresponding author upon reasonable request. The mass spectrometry proteomics data (LC-MS/MS analysis of GABARAPL1 and GABARAPL1Y49A/L50A immunoprecipitates, and FLAG-NEK9 immunoprecipitates) have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifiers PXD024290 and PXD024292, respectively. Uniprot database search (reviewed mouse database as of September 13th, 2018) was used for analysis of FLAG-GABARAPL1 and FLAG-GABARAPL1Y49A/L50A immunoprecipitates. NCBI nonredundant human protein dataset (NCBInr RefSeq Release 71, containing 179,460 entries) was used for analysis of FLAG-NEK9 immunoprecipitates. Source data are provided with this paper.

Competing interests

The authors declare no competing interests.

Footnotes

Peer review information Nature Communications thanks Brunella Franco, Jin-A Lee, and other, anonymous, reviewers for their contributions to the peer review of this work. Peer review reports are available.

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

The online version contains supplementary material available at 10.1038/s41467-021-23599-7.

References

  • 1.Malicki JJ, Johnson CA. The cilium: cellular antenna and central processing unit. Trends Cell Biol. 2017;27:126–140. doi: 10.1016/j.tcb.2016.08.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Anvarian Z, Mykytyn K, Mukhopadhyay S, Pedersen LB, Christensen ST. Cellular signalling by primary cilia in development, organ function and disease. Nat. Rev. Nephrol. 2019;15:199–219. doi: 10.1038/s41581-019-0116-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Spasic M, Jacobs CR. Primary cilia: Cell and molecular mechanosensors directing whole tissue function. Semin Cell Dev. Biol. 2017;71:42–52. doi: 10.1016/j.semcdb.2017.08.036. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Berbari NF, O’Connor AK, Haycraft CJ, Yoder BK. The primary cilium as a complex signaling center. Curr. Biol. 2009;19:R526–R535. doi: 10.1016/j.cub.2009.05.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Tummala P, Arnsdorf EJ, Jacobs CR. The role of primary cilia in mesenchymal stem cell differentiation: a pivotal switch in guiding lineage commitment. Cell Mol. Bioeng. 2010;3:207–212. doi: 10.1007/s12195-010-0127-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Wheway G, Nazlamova L, Hancock JT. Signaling through the primary cilium. Front Cell Dev. Biol. 2018;6:8. doi: 10.3389/fcell.2018.00008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Reiter JF, Leroux MR. Genes and molecular pathways underpinning ciliopathies. Nat. Rev. Mol. Cell Biol. 2017;18:533–547. doi: 10.1038/nrm.2017.60. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Hildebrandt F, Benzing T, Katsanis N. Ciliopathies. N. Engl. J. Med. 2011;364:1533–1543. doi: 10.1056/NEJMra1010172. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Nakatogawa H. Mechanisms governing autophagosome biogenesis. Nat. Rev. Mol. Cell Biol. 2020;21:439–458. doi: 10.1038/s41580-020-0241-0. [DOI] [PubMed] [Google Scholar]
  • 10.Soreng K, Neufeld TP, Simonsen A. Membrane trafficking in autophagy. Int Rev. Cell Mol. Biol. 2018;336:1–92. doi: 10.1016/bs.ircmb.2017.07.001. [DOI] [PubMed] [Google Scholar]
  • 11.Gatica D, Lahiri V, Klionsky DJ. Cargo recognition and degradation by selective autophagy. Nat. Cell Biol. 2018;20:233–242. doi: 10.1038/s41556-018-0037-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Johansen T, Lamark T. Selective autophagy: ATG8 family proteins, LIR motifs and cargo receptors. J. Mol. Biol. 2020;432:80–103. doi: 10.1016/j.jmb.2019.07.016. [DOI] [PubMed] [Google Scholar]
  • 13.Gomes LC, Dikic I. Autophagy in antimicrobial immunity. Mol. Cell. 2014;54:224–233. doi: 10.1016/j.molcel.2014.03.009. [DOI] [PubMed] [Google Scholar]
  • 14.Palikaras K, Lionaki E, Tavernarakis N. Mechanisms of mitophagy in cellular homeostasis, physiology and pathology. Nat. Cell Biol. 2018;20:1013–1022. doi: 10.1038/s41556-018-0176-2. [DOI] [PubMed] [Google Scholar]
  • 15.Chino H, Mizushima N. ER-Phagy: quality control and turnover of endoplasmic reticulum. Trends Cell Biol. 2020;30:384–398. doi: 10.1016/j.tcb.2020.02.001. [DOI] [PubMed] [Google Scholar]
  • 16.Anding AL, Baehrecke EH. Cleaning house: selective autophagy of organelles. Dev. Cell. 2017;41:10–22. doi: 10.1016/j.devcel.2017.02.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Papadopoulos C, Kravic B, Meyer H. Repair or lysophagy: dealing with damaged lysosomes. J. Mol. Biol. 2020;432:231–239. doi: 10.1016/j.jmb.2019.08.010. [DOI] [PubMed] [Google Scholar]
  • 18.Dikic I, Elazar Z. Mechanism and medical implications of mammalian autophagy. Nat. Rev. Mol. Cell Biol. 2018;19:349–364. doi: 10.1038/s41580-018-0003-4. [DOI] [PubMed] [Google Scholar]
  • 19.Mizushima N, Levine B. Autophagy in human diseases. N. Engl. J. Med. 2020;383:1564–1576. doi: 10.1056/NEJMra2022774. [DOI] [PubMed] [Google Scholar]
  • 20.Mizushima N. The ATG conjugation systems in autophagy. Curr. Opin. Cell Biol. 2020;63:1–10. doi: 10.1016/j.ceb.2019.12.001. [DOI] [PubMed] [Google Scholar]
  • 21.Birgisdottir AB, Lamark T, Johansen T. The LIR motif - crucial for selective autophagy. J. Cell Sci. 2013;126:3237–3247. doi: 10.1242/jcs.126128. [DOI] [PubMed] [Google Scholar]
  • 22.Morleo, M. & Franco, B. The autophagy-cilia axis: an intricate relationship. Cells8, 905 (2019). [DOI] [PMC free article] [PubMed]
  • 23.Pampliega O, Cuervo AM. Autophagy and primary cilia: dual interplay. Curr. Opin. Cell Biol. 2016;39:1–7. doi: 10.1016/j.ceb.2016.01.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Odabasi, E., Gul, S., Kavakli, I. H. & Firat-Karalar, E. N. Centriolar satellites are required for efficient ciliogenesis and ciliary content regulation. EMBO Rep20, e47723 (2019). [DOI] [PMC free article] [PubMed]
  • 25.Prosser, S. L. & Pelletier, L. Centriolar satellite biogenesis and function in vertebrate cells. J Cell Sci133, jcs239566 (2020). [DOI] [PubMed]
  • 26.Ferrante MI, et al. Oral-facial-digital type I protein is required for primary cilia formation and left-right axis specification. Nat. Genet. 2006;38:112–117. doi: 10.1038/ng1684. [DOI] [PubMed] [Google Scholar]
  • 27.Singla V, Romaguera-Ros M, Garcia-Verdugo JM, Reiter JF. Ofd1, a human disease gene, regulates the length and distal structure of centrioles. Dev. Cell. 2010;18:410–424. doi: 10.1016/j.devcel.2009.12.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Tang Z, et al. Autophagy promotes primary ciliogenesis by removing OFD1 from centriolar satellites. Nature. 2013;502:254–257. doi: 10.1038/nature12606. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Liu ZQ, et al. Ciliogenesis is reciprocally regulated by PPARA and NR1H4/FXR through controlling autophagy in vitro and in vivo. Autophagy. 2018;14:1011–1027. doi: 10.1080/15548627.2018.1448326. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Hsiao, C. J. et al. Gli2 modulates cell cycle re-entry through autophagy-mediated regulation of the length of primary cilia. J Cell Sci131, jcs221218 (2018). [DOI] [PubMed]
  • 31.Wang S, Livingston MJ, Su Y, Dong Z. Reciprocal regulation of cilia and autophagy via the MTOR and proteasome pathways. Autophagy. 2015;11:607–616. doi: 10.1080/15548627.2015.1023983. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Kim ES, et al. Inhibition of autophagy suppresses sertraline-mediated primary ciliogenesis in retinal pigment epithelium cells. PLoS One. 2015;10:e0118190. doi: 10.1371/journal.pone.0118190. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Pampliega O, et al. Functional interaction between autophagy and ciliogenesis. Nature. 2013;502:194–200. doi: 10.1038/nature12639. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Struchtrup A, Wiegering A, Stork B, Ruther U, Gerhardt C. The ciliary protein RPGRIP1L governs autophagy independently of its proteasome-regulating function at the ciliary base in mouse embryonic fibroblasts. Autophagy. 2018;14:567–583. doi: 10.1080/15548627.2018.1429874. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Chino H, Hatta T, Natsume T, Mizushima N. Intrinsically disordered protein TEX264 mediates ER-phagy. Mol. Cell. 2019;74:909–921. doi: 10.1016/j.molcel.2019.03.033. [DOI] [PubMed] [Google Scholar]
  • 36.Joachim J, et al. Centriolar satellites control GABARAP ubiquitination and GABARAP-mediated autophagy. Curr. Biol. 2017;27:2123–2136. doi: 10.1016/j.cub.2017.06.021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Behrends C, Sowa ME, Gygi SP, Harper JW. Network organization of the human autophagy system. Nature. 2010;466:68–76. doi: 10.1038/nature09204. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Fry AM, Bayliss R, Roig J. Mitotic regulation by NEK kinase networks. Front Cell Dev. Biol. 2017;5:102. doi: 10.3389/fcell.2017.00102. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Moniz L, Dutt P, Haider N, Stambolic V. Nek family of kinases in cell cycle, checkpoint control and cancer. Cell Div. 2011;6:18. doi: 10.1186/1747-1028-6-18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Cullati SN, Kabeche L, Kettenbach AN, Gerber SA. A bifurcated signaling cascade of NIMA-related kinases controls distinct kinesins in anaphase. J. Cell Biol. 2017;216:2339–2354. doi: 10.1083/jcb.201512055. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Eibes S, et al. Nek9 Phosphorylation Defines a New Role for TPX2 in Eg5-Dependent Centrosome Separation before Nuclear Envelope Breakdown. Curr. Biol. 2018;28:121–129. doi: 10.1016/j.cub.2017.11.046. [DOI] [PubMed] [Google Scholar]
  • 42.Roig J, Mikhailov A, Belham C, Avruch J. Nercc1, a mammalian NIMA-family kinase, binds the Ran GTPase and regulates mitotic progression. Genes Dev. 2002;16:1640–1658. doi: 10.1101/gad.972202. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Bertran MT, et al. Nek9 is a Plk1-activated kinase that controls early centrosome separation through Nek6/7 and Eg5. EMBO J. 2011;30:2634–2647. doi: 10.1038/emboj.2011.179. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Upadhya P, Birkenmeier EH, Birkenmeier CS, Barker JE. Mutations in a NIMA-related kinase gene, Nek1, cause pleiotropic effects including a progressive polycystic kidney disease in mice. Proc. Natl Acad. Sci. USA. 2000;97:217–221. doi: 10.1073/pnas.97.1.217. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Otto EA, et al. NEK8 mutations affect ciliary and centrosomal localization and may cause nephronophthisis. J. Am. Soc. Nephrol. 2008;19:587–592. doi: 10.1681/ASN.2007040490. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Chivukula RR, et al. A human ciliopathy reveals essential functions for NEK10 in airway mucociliary clearance. Nat. Med. 2020;26:244–251. doi: 10.1038/s41591-019-0730-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Casey JP, et al. Recessive NEK9 mutation causes a lethal skeletal dysplasia with evidence of cell cycle and ciliary defects. Hum. Mol. Genet. 2016;25:1824–1835. doi: 10.1093/hmg/ddw054. [DOI] [PubMed] [Google Scholar]
  • 48.Shrestha BK, et al. NIMA-related kinase 9-mediated phosphorylation of the microtubule-associated LC3B protein at Thr-50 suppresses selective autophagy of p62/sequestosome 1. J. Biol. Chem. 2020;295:1240–1260. doi: 10.1016/S0021-9258(17)49883-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Kalvari I, et al. iLIR: A web resource for prediction of Atg8-family interacting proteins. Autophagy. 2014;10:913–925. doi: 10.4161/auto.28260. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Amemiya CT, et al. The African coelacanth genome provides insights into tetrapod evolution. Nature. 2013;496:311–316. doi: 10.1038/nature12027. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Yoshii SR, et al. Systemic analysis of Atg5-null mice rescued from neonatal lethality by transgenic ATG5 expression in neurons. Dev. Cell. 2016;39:116–130. doi: 10.1016/j.devcel.2016.09.001. [DOI] [PubMed] [Google Scholar]
  • 52.Natsume T, Kiyomitsu T, Saga Y, Kanemaki MT. Rapid protein depletion in human cells by auxin-inducible degron tagging with short homology donors. Cell Rep. 2016;15:210–218. doi: 10.1016/j.celrep.2016.03.001. [DOI] [PubMed] [Google Scholar]
  • 53.Mizushima N, Murphy LO. Autophagy assays for biological discovery and therapeutic development. Trends Biochem Sci. 2020;45:1080–1093. doi: 10.1016/j.tibs.2020.07.006. [DOI] [PubMed] [Google Scholar]
  • 54.Kaizuka T, et al. An autophagic flux probe that releases an internal control. Mol. Cell. 2016;64:835–849. doi: 10.1016/j.molcel.2016.09.037. [DOI] [PubMed] [Google Scholar]
  • 55.Boehlke C, et al. Primary cilia regulate mTORC1 activity and cell size through Lkb1. Nat. Cell Biol. 2010;12:1115–1122. doi: 10.1038/ncb2117. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Orhon I, et al. Primary-cilium-dependent autophagy controls epithelial cell volume in response to fluid flow. Nat. Cell Biol. 2016;18:657–667. doi: 10.1038/ncb3360. [DOI] [PubMed] [Google Scholar]
  • 57.Kimura T, et al. Autophagy protects the proximal tubule from degeneration and acute ischemic injury. J. Am. Soc. Nephrol. 2011;22:902–913. doi: 10.1681/ASN.2010070705. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Pecci A, Ma X, Savoia A, Adelstein RS. MYH9: Structure, functions and role of non-muscle myosin IIA in human disease. Gene. 2018;664:152–167. doi: 10.1016/j.gene.2018.04.048. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Copeland J. Actin-based regulation of ciliogenesis - The long and the short of it. Semin Cell Dev. Biol. 2020;102:132–138. doi: 10.1016/j.semcdb.2019.12.005. [DOI] [PubMed] [Google Scholar]
  • 60.Wang, L. & Dynlacht, B. D. The regulation of cilium assembly and disassembly in development and disease. Development145, dev151407 (2018). [DOI] [PMC free article] [PubMed]
  • 61.Kim J, et al. Functional genomic screen for modulators of ciliogenesis and cilium length. Nature. 2010;464:1048–1051. doi: 10.1038/nature08895. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Pitaval A, et al. Microtubule stabilization drives 3D centrosome migration to initiate primary ciliogenesis. J. Cell Biol. 2017;216:3713–3728. doi: 10.1083/jcb.201610039. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Cao J, et al. miR-129-3p controls cilia assembly by regulating CP110 and actin dynamics. Nat. Cell Biol. 2012;14:697–706. doi: 10.1038/ncb2512. [DOI] [PubMed] [Google Scholar]
  • 64.Kim J, et al. Actin remodelling factors control ciliogenesis by regulating YAP/TAZ activity and vesicle trafficking. Nat. Commun. 2015;6:6781. doi: 10.1038/ncomms7781. [DOI] [PubMed] [Google Scholar]
  • 65.Yan X, Zhu X. Branched F-actin as a negative regulator of cilia formation. Exp. Cell Res. 2013;319:147–151. doi: 10.1016/j.yexcr.2012.08.009. [DOI] [PubMed] [Google Scholar]
  • 66.Shutova MS, Svitkina TM. Mammalian nonmuscle myosin II comes in three flavors. Biochem Biophys. Res Commun. 2018;506:394–402. doi: 10.1016/j.bbrc.2018.03.103. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Even-Ram S, et al. Myosin IIA regulates cell motility and actomyosin-microtubule crosstalk. Nat. Cell Biol. 2007;9:299–309. doi: 10.1038/ncb1540. [DOI] [PubMed] [Google Scholar]
  • 68.Vicente-Manzanares M, Ma X, Adelstein RS, Horwitz AR. Non-muscle myosin II takes centre stage in cell adhesion and migration. Nat. Rev. Mol. Cell Biol. 2009;10:778–790. doi: 10.1038/nrm2786. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Rao Y, Hao R, Wang B, Yao TP. A Mec17-Myosin II effector axis coordinates microtubule acetylation and actin dynamics to control primary cilium biogenesis. PLoS One. 2014;9:e114087. doi: 10.1371/journal.pone.0114087. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Hong H, Kim J, Kim J. Myosin heavy chain 10 (MYH10) is required for centriole migration during the biogenesis of primary cilia. Biochem Biophys. Res Commun. 2015;461:180–185. doi: 10.1016/j.bbrc.2015.04.028. [DOI] [PubMed] [Google Scholar]
  • 71.Uhlen M, et al. Proteomics. Tissue-based map of the human proteome. Science. 2015;347:1260419. doi: 10.1126/science.1260419. [DOI] [PubMed] [Google Scholar]
  • 72.Fry AM, O’Regan L, Sabir SR, Bayliss R. Cell cycle regulation by the NEK family of protein kinases. J. Cell Sci. 2012;125:4423–4433. doi: 10.1242/jcs.111195. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Wirth M, et al. Molecular determinants regulating selective binding of autophagy adapters and receptors to ATG8 proteins. Nat. Commun. 2019;10:2055. doi: 10.1038/s41467-019-10059-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Morleo M, et al. Regulation of autophagosome biogenesis by OFD1-mediated selective autophagy. EMBO J. 2021;40:e105120. doi: 10.15252/embj.2020105120. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Finn RN, Chauvigne F, Hlidberg JB, Cutler CP, Cerda J. The lineage-specific evolution of aquaporin gene clusters facilitated tetrapod terrestrial adaptation. PLoS One. 2014;9:e113686. doi: 10.1371/journal.pone.0113686. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Marra AN, Li Y, Wingert RA. Antennas of organ morphogenesis: the roles of cilia in vertebrate kidney development. Genesis. 2016;54:457–469. doi: 10.1002/dvg.22957. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Kramer-Zucker AG, et al. Cilia-driven fluid flow in the zebrafish pronephros, brain and Kupffer’s vesicle is required for normal organogenesis. Development. 2005;132:1907–1921. doi: 10.1242/dev.01772. [DOI] [PubMed] [Google Scholar]
  • 78.Gan B, et al. Role of FIP200 in cardiac and liver development and its regulation of TNFalpha and TSC-mTOR signaling pathways. J. Cell Biol. 2006;175:121–133. doi: 10.1083/jcb.200604129. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Sou YS, et al. The Atg8 conjugation system is indispensable for proper development of autophagic isolation membranes in mice. Mol. Biol. Cell. 2008;19:4762–4775. doi: 10.1091/mbc.e08-03-0309. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80.Saitoh T, Nakano H, Yamamoto N, Yamaoka S. Lymphotoxin-beta receptor mediates NEMO-independent NF-kappaB activation. FEBS Lett. 2002;532:45–51. doi: 10.1016/S0014-5793(02)03622-0. [DOI] [PubMed] [Google Scholar]
  • 81.Morita K, et al. Genome-wide CRISPR screen identifies TMEM41B as a gene required for autophagosome formation. J. Cell Biol. 2018;217:3817–3828. doi: 10.1083/jcb.201804132. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.Dummer A, Poelma C, DeRuiter MC, Goumans MJ, Hierck BP. Measuring the primary cilium length: improved method for unbiased high-throughput analysis. Cilia. 2016;5:7. doi: 10.1186/s13630-016-0028-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Schwanhausser B, et al. Global quantification of mammalian gene expression control. Nature. 2011;473:337–342. doi: 10.1038/nature10098. [DOI] [PubMed] [Google Scholar]
  • 84.Shilov IV, et al. The Paragon Algorithm, a next generation search engine that uses sequence temperature values and feature probabilities to identify peptides from tandem mass spectra. Mol. Cell Proteom. 2007;6:1638–1655. doi: 10.1074/mcp.T600050-MCP200. [DOI] [PubMed] [Google Scholar]
  • 85.Masuda T, Tomita M, Ishihama Y. Phase transfer surfactant-aided trypsin digestion for membrane proteome analysis. J. Proteome Res. 2008;7:731–740. doi: 10.1021/pr700658q. [DOI] [PubMed] [Google Scholar]
  • 86.Rappsilber J, Mann M, Ishihama Y. Protocol for micro-purification, enrichment, pre-fractionation and storage of peptides for proteomics using StageTips. Nat. Protoc. 2007;2:1896–1906. doi: 10.1038/nprot.2007.261. [DOI] [PubMed] [Google Scholar]
  • 87.Boersema PJ, Raijmakers R, Lemeer S, Mohammed S, Heck AJ. Multiplex peptide stable isotope dimethyl labeling for quantitative proteomics. Nat. Protoc. 2009;4:484–494. doi: 10.1038/nprot.2009.21. [DOI] [PubMed] [Google Scholar]
  • 88.Kumar S, Stecher G, Li M, Knyaz C, Tamura K. MEGA X: molecular evolutionary genetics analysis across computing platforms. Mol. Biol. Evol. 2018;35:1547–1549. doi: 10.1093/molbev/msy096. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Peer Review File (2.6MB, pdf)
Supplementary Data 1 (777.7KB, xlsx)
Supplementary Data 2 (13.6KB, xlsx)
Supplementary Data 3 (35.6KB, xlsx)
41467_2021_23599_MOESM6_ESM.docx (11.4KB, docx)

Description of Additional Supplementary Files

Reporting Summary (2.8MB, pdf)

Data Availability Statement

The datasets generated during and/or analyzed in the current study are available from the corresponding author upon reasonable request. The mass spectrometry proteomics data (LC-MS/MS analysis of GABARAPL1 and GABARAPL1Y49A/L50A immunoprecipitates, and FLAG-NEK9 immunoprecipitates) have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifiers PXD024290 and PXD024292, respectively. Uniprot database search (reviewed mouse database as of September 13th, 2018) was used for analysis of FLAG-GABARAPL1 and FLAG-GABARAPL1Y49A/L50A immunoprecipitates. NCBI nonredundant human protein dataset (NCBInr RefSeq Release 71, containing 179,460 entries) was used for analysis of FLAG-NEK9 immunoprecipitates. Source data are provided with this paper.


Articles from Nature Communications are provided here courtesy of Nature Publishing Group

RESOURCES