Macroautophagy, the degradation of cytoplasmic content by lysosomal fusion, is an evolutionary conserved process promoting homeostasis and intracellular defence. Macroautophagy is initiated primarily by a complex containing ULK1 or ULK2 (two paralogs of the yeast Atg1 protein). To understand the differences between ULK1 and ULK2, we compared the human ULK1 and ULK2 proteins and their regulation. Despite the similarity in their enzymatic domain, we found that ULK1 and ULK2 have major differences in their autophagy-related interactors and their post-translational and transcriptional regulators. We identified 18 ULK1-specific and 7 ULK2-specific protein motifs serving as different interaction interfaces. We found that interactors of ULK1 and ULK2 all have different tissue-specific expressions partially contributing to diverse and ULK-specific interaction networks in various tissues. We identified three ULK1-specific and one ULK2-specific transcription factor binding sites, and eight sites shared by the regulatory region of both genes. Importantly, we found that both their post-translational and transcriptional regulators are involved in distinct biological processes—suggesting separate functions for ULK1 and ULK2. Unravelling differences between ULK1 and ULK2 could lead to a better understanding of how ULK-type specific dysregulation affects autophagy and other cellular processes that have been implicated in diseases such as inflammatory bowel disease and cancer.
Macroautophagy, hereafter referred to as autophagy, is a lysosome-dependent intracellular metabolic process. Autophagy is highly conserved in all eukaryotic cells, and contributes to maintaining energy homeostasis, generating nutrients following starvation and is crucial in promoting cell survival. Autophagy is present in cells at a basal level but it is also activated at a higher level as a response to stress1,2.
Upon autophagy induction, an isolation membrane (phagophore) sequesters a small portion of the cytoplasm, including soluble materials and organelles, to form the autophagosome. The autophagosome then fuses with the enzyme-containing lysosome to become an autolysosome and degrades the materials contained within it1. As observed first in yeast, induction of autophagy is governed by the induction complex formed by Atg proteins: Atg1-Atg13-Atg17-Atg31-Atg29. In mammalian cells, the complex is composed of Atg1 homologs (ULK1 or ULK2), the mammalian homolog of Atg13 (ATG13), RB1-inducible coiled-coil 1 (RB1CC1/FIP200) and ATG1013,4,5. Induction of autophagy is tightly regulated through the protein mechanistic target of rapamycin complex 1 (mTORC1): whilst complex-associated, mTORC1 phosphorylates ULK1/2 and ATG13, resulting in their inactivation. Nevertheless, when cells are treated with rapamycin or starved of nutrients, mTORC1 becomes separated from the induction complex, resulting in dephosphorylation of these proteins and consequent autophagy induction6. Interestingly, this type of autophagy induction is specific to higher eukaryotes and some of the protist, however, as we previously demonstrated, non-unikont protists (such as Toxoplasma spp., Leishmania spp., and Plasmodium spp.) lack the Atg1 complex, and induce their autophagy in different ways7.
The most studied component of the induction complex is the yeast Atg1 and its homologs. There are five Atg1 orthologs in the human genome: ULK1, ULK2, ULK3, ULK4, and STK36, all code proteins containing a kinase domain (Fig. 1.)2,8. Out of these genes, the protein product of ULK1 and ULK2 shows high similarity along the whole length of the protein (98% query cover but only 52% identity)10 and in their kinase domain (100% query cover with 78.71% identity)2. ULK1 and ULK2 genes code for serine/threonine protein kinases that consist of a conserved N-terminal kinase domain (catalytic domain), a central serine-proline rich region (PS), and a C-terminal interacting domain (CTD)9. ULK1 and ULK2 are best known to be involved in the induction of autophagy10,11, and are often mentioned interchangeably, however, there is growing evidence for functional differences, both in relation to autophagy and other functions. In different cell lines studies, loss of ULK1 was found to result in interruption of starvation induced autophagy, and ULK2 was thought to have a redundant function12,13. In cerebellar granule neurons, ULK1, but not ULK2, was also shown to be critical to induce the autophagic response2. Demonstrating the complexity of the relationship between ULK1 and ULK2, opposing evidence was found by Kundu et al., who showed that deletion of ULK1, hence autophagy deficiency, resulted in delayed clearance of ribosomes and mitochondria in reticulocytes but in case of starvation-induced autophagy ULK1 does not play an essential role14. Lee and Tournier also showed that the function of ULK2 is more likely to compensate for the loss of ULK1 but in a cell-type specific manner2. Some speculations indicate that a dominance of either of the two ULK proteins is determined by differential tissue expression levels15,16. Regarding non autophagy-related differences, for instance, Seung-Hyun et al. found that while both ULK1 and ULK2 have shared functions in autophagy, they have opposing roles in lipid metabolism10. ULK1 and ULK2 were also shown to be part of different molecular complexes, possibly resulting in having independent functions or mode of regulation. It was specifically found that following amino acid starvation, in contrast to ULK1, binding of ULK2 to membranes was increased17. Finally, another difference between ULK1 and ULK2, described by Kundu et al. was, that during erythroid differentiation, ULK1, but not ULK2 was found to be upregulated14. Showing the importance of both homologues, in mice studies, the knockout of both ULK1 and ULK2 showed neonatal lethality, which was seen also upon the loss of other autophagy genes such as ATG5 and ATG714,15,18.
The aim of these aforementioned experiments was in fact to compare ULK1 and ULK2 in specific areas, hence they included both proteins/genes in the experimental setup. However in other cases the experiment focused only one of the ULK homologs e.g. Refs19,20,21,22. In those cases, and when there is not enough information available about the experimental conditions, we cannot make an easy comparison between the function of ULK1 and ULK2. Altogether, even though experimentally validated interactions are more reliable than predictions, careful interpretation of the collected data is crucial.
Prompted by the evidence for the different roles of ULK1 and ULK2 in specific areas, we aimed to compare the two human paralogs on a systems-level. We aimed to do that based on experimentally validated, published interactions, tissue-specific RNA expression levels and structure-based predictions. We show that ULK1 and ULK2 are indeed different in their protein binding motifs and in their promoter sequences, harbouring binding sites for different transcription factors. ULK1 and ULK2 also have different experimentally validated autophagy-related and non-autophagy related interactors, and their post-translational and transcriptional regulators are relevant in distinct biological processes. With analysing the tissue-specific expression of genes encoding ULK1- and ULK2-specific interactors we found a diverse expression pattern, indicating a complex and distinctive interaction network for both ULK proteins. The balance between these two homologs and their specific processes can be crucial in diseases, especially when ULK1, ULK2 or their interactors are differentially expressed.
The duplication of the yeast Atg1 happened at the base of the Chordates resulting in the most similar homologs, ULK1 and ULK2
The multiple sequence alignment of the yeast Atg1 protein and its human orthologs shows that the human ULK1 and ULK2 are the most similar to each other (Fig. 2a). We obtained similar results with alignment of the kinase domain and alignment of the complete amino-acid sequences (Supplementary Figure S1). When comparing ULK1 and ULK2 one aspect was the accessible motifs along the proteins. In Fig. 2b, we visualized specific motifs that we identified as being specific to ULK1 or ULK2 (the function of the specific motifs is detailed in Tables 1 and 2). Despite the highest similarity among ULK homologs, superimposition of the 3D structures of ULK1 and ULK2 kinase domains shows both similar and non-aligning stretches (Fig. 2c).
We searched for the orthologs of ULK1 in other species to determine the first duplication event that gave rise to ULK1 and ULK2 (in humans). In Fig. 3, we visualize the duplication event which happened at the base of the Chordates, after the split of Urochordates (Tunicates, around 500 million years ago) from the Euteleostomes or “bony vertebrates”. As expected, in Deuterostomes and in Ciona intestinalis we can find only one ortholog of the human ULK1 gene, but in the rest of the Chordates most taxa have two paralogs.
Autophagy proteins interacting with ULK1 and ULK2 are involved in different types of selective autophagy
By downloading data from the Autophagy Regulatory Network resource, we developed earlier23, and updating it with recent manually curated data, we collected direct interactions between ULK1, ULK2 and other autophagy proteins. Out of the 12 ULK1 first neighbours and the 9 ULK2 first neighbours, 5 and 2 are specific to ULK1 and ULK2, respectively (Fig. 4 and Supplementary Table S2). Based on the annotation of autophagy proteins in the Gene Ontology database and the work of Denny et al.24, we visualized specific and shared interactors of ULK1 and ULK2. All of these interactors are associated with macroautophagy, but there are differences in the type of selective autophagy for specific interactors of ULK1 and ULK2. For example, there is a shift in involvement in mitophagy (selective engulfment of mitochondria) towards ULK1-specific interactors, while the only protein that is connected to xenophagy (degradation of pathogens i.e. intracellular bacteria, viruses), WIPI2 is specific to ULK2. Reticulophagy (degradation of portions of the endoplasmic reticulum), glycophagy (degradation of glycogen) and aggrephagy (degradation of protein aggregates)25 are shared functions between ULK1 and ULK2.
ULK1 and ULK2 have specific non-autophagy protein–protein interaction partners
We collected the experimentally verified protein interactors of ULK1 and ULK2 (termed as first neighbours) from databases and from the literature by manual curation. Out of the 25 ULK1 first neighbours and the 35 ULK2 first neighbours, 11 and 21 are specific to ULK1 and ULK2, respectively (Fig. 5 and Supplementary Table S2).
In Fig. 5, we visualized the experimentally validated directed interactions between the ULK proteins and their first neighbours. We grouped the neighbours based on being upstream or downstream from their respective ULK protein and based on being involved in single or bidirectional interaction. We also show that most of the first neighbours are predicted to bind to both ULK1 and ULK2, indicating a potential study bias in the literature data. The presence of the common downstream interactors in the prediction is possibly due to the domain similarity of the ULK homologs.
As both ULK1 and ULK2 have a kinase domain with 78.71% identity, we hypothesized that the explanation for having specific upstream interactors could be primarily due to exhibiting different protein motifs. Based on structural information, we found that beside sharing 37 motifs, ULK1 and ULK2 have 18 and 7 unique motifs, respectively (Tables 1, 2). Amongst the ULK1-specific motifs, we identified sites for caspase cleavage, sister chromatid separation and binding to inhibitor of apoptosis proteins, which could act in favour of promoting apoptosis. On the other hand, amongst the ULK2-specific motifs there are sites for deubiquitination and interaction with TNF cytokine receptors.
ULK1 and ULK2 have tissue-specific interaction partners
We analysed the RNA expression of ULK1, ULK2 and the genes encoding their specific protein interactors, and clustered them based on expression values across all assessed tissues (62 tissues were included). The interactors were not clustered based on their specificity to ULK1 or ULK2, and they were not necessarily expressed together with their respective ULK partner.
ULK1 and ULK2 are generally similarly expressed in the analysed tissues, with only a few exceptions. ULK1 is higher expressed in pancreas, skeletal muscle, basal ganglia and bone marrow, while ULK2 is higher expressed in spinal cord, corpus callosum and testis (Supplementary Table S3). In Fig. 6, we visualized relative expression scores of ULK1, ULK2 and their specific interactors. Some of the interactors (e.g. USP10, KIF11, PLK1) are similarly expressed (around column Z-score 0) in most of the tissues, the rest of them are more variable between tissues. Out of the ULK1- and ULK2-specific interactors only a few (SMCR8 and TRAF6; OBSL1 and DIXDC1) are clustered together with their respective ULK partners. Based on Fig. 6, even though there is no clear segregation between ULK1- and ULK2-specific interactors, both ULKs seems to have tissue-specific interaction partners.
The non-autophagy first neighbour interactors of ULK1 and ULK2 are involved in different biological processes
We analysed the shared biological processes within experimentally verified protein interactors of ULK1 and ULK2, respectively. Based on a Gene Ontology Term Finder analysis26, we found that beside the common biological functions, the interactors also seem to be responsible for specific processes. Based on our analysis, interactors of ULK1 share the function of intracellular transport (Bonferroni corrected P value for the hypergeometric distribution < 0.0001) with SEC23A, SDCBP and DYNLL1 being specifically interacting with ULK1. Meanwhile, ULK2 has interactors relevant in nitrogen compound metabolic processes (corrected P value < 0.0001) including 19 out of the 21 ULK2-specific interactors (Fig. 7).
ULK1 and ULK2 have specific transcriptional regulators, which are also involved in different biological processes
We searched for experimentally verified transcription factors of ULK1 and ULK2 in databases and the literature by manual curation. Out of the 14 regulators of ULK1 and 13 regulators of ULK2, six and five are specific, respectively. These transcription factors are likely to regulate the two ULK homologs differently. To extend the analysis, we predicted potential transcription factor binding sites (TFBSs) in the promoter regions of both ULK genes. We found that six transcription factors (TP53, ATF4, ESR1, HIF1A, CEBPA, FOXP1) that were experimentally identified as ULK1- or ULK2-specific, have actually binding sites along the other ULK gene as well, indicating potential new regulatory connections for experimental validation (Fig. 8). Those transcription factors whose TFBS was not found in the promoter region of ULK1 or ULK2 but previous experimental data showed the regulatory connection, are probably regulating the ULK gene’s expressions through more distant regulatory regions (e.g. in enhancer regions).
We also analysed the biological processes in which the transcription factors of ULK1 and ULK2 are involved. Based on a Gene Ontology Term Finder analysis26, we found that transcription factors of ULK1 are significant in stress response (Bonferroni corrected P value for the hypergeometric distribution < 0.0001), apoptosis (corrected P value < 0.0001) and chromatin organisation (corrected P value < 0.0001), while transcription factors of ULK2 seem to be important in homeostatic and immune system-related processes, including glucose homeostasis (corrected P value < 0.0001) and response to cytokines (corrected P value < 0.0001) (Fig. 9).
Here we report that despite being paralogs and the most similar in their secondary domain structure amongst the ULK homologs, the autophagy induction-related human ULK1 and ULK2 proteins are different in numerous aspects. The appearance of the ULK1 and ULK2 genes is the result of the duplication of the yeast Atg1. This duplication happened between the Deuterostomes and the Chordates, giving rise to two similar yet functionally different genes. With comprehensive bioinformatics approaches we show that ULK1 and ULK2 have specific protein interactors and transcriptional regulators, involved in distinct biological functions, supporting the specific roles of ULK1 and ULK2. Analysis of the interactors and regulators of ULK1 and ULK2 resulted in the identification of stress response, apoptosis, chromatin organization and intracellular transport as significantly shared among ULK1 interactors, whereas interactors of ULK2 are involved in nitrogen compound metabolic pathways, homeostasis and response to cytokines.
As reported in the literature, whole-genome duplication(s) happened throughout vertebrate evolution. The first such event happened at the base of the vertebrates, after the split of Ciona from vertebrates 500 million years ago, but prior to the split of fish from tetrapods27,28,29. In accordance with this, we found that the duplication of the ULK1 ortholog also happened after the split of Ciona from vertebrates, so it was likely not a separate event but part of the whole-genome duplication.
By comparing the kinase domains of ULK1 and ULK2 (including sequence alignments and superimposition of 3D structures), we found non-aligning regions. This dissimilarity could contribute to the differences in the substrates of the two kinases which we indeed can see as ULK1 and ULK2 both have specific downstream interactors.
As ULK1 and ULK2 both had been identified as part of the autophagy induction complex, the two proteins are often mentioned interchangeably. However, as some specific studies have already shown, there are functional differences between them, for example they have opposing effects in lipid metabolism10. The functional dissimilarity can be a consequence of the different interacting partners and transcriptional regulators that we identified based on databases and manual curation.
Within the autophagy machinery network, ULK1 and ULK2 have 7 shared interactors, however five and two interactors are specific to ULK1 and ULK2, respectively, suggesting potential functional differences. As a specific example, we showed that these interactors were implicated in different types of selective autophagy: the interactors of ULK1 are more afftected in mitophagy, while WIPI2, the specific interactor of ULK2, is affected in xenophagy. In tissues where ULK1 or ULK2 is not expressed, or in conditions affecting one or the other paralog, these different types of selective autophagy could be impaired.
Regarding non-autophagy related protein–protein interactions, we found 14 common, 11 ULK1-specific and 21 ULK2-specific interactors. We assessed this interactor list with a domain-motif interaction analysis, and identified proteins amongst the experimentally validated ULK1- and ULK2-specific interactors which are in fact predicted to be capable of binding to both ULK1 and ULK2. We note that as we checked the source publication of each interaction we extracted from databases, we found that in many cases only ULK1 or ULK2 was investigated, making the specificity of an interactor to ULK1 or ULK2 questionable. Therefore, we provide a set of proteins that are predicted to bind to both ULK homologs but have not yet been shown in vitro to interact for future experimental validation studies. In our analysis we rely on experimentally verified interaction data, hence the uncertainty of the specificity becomes a limitation to our computational study as it could affect the functional gene ontology analysis. Some of our results are nonetheless supported by the literature, hence we believe our findings can unravel the so far hidden differences of ULK1 and ULK2.
We analyzed how ULK1, ULK2 and the genes encoding their specific protein interactors are expressed in several tissues, to be able to put their interactions into the context of tissue specificity. Based on tissue expression levels of the interactors, ULK1 and ULK2 seem to have different specific interactor subgroups in different tissues. For example, ULK1 has similar expression levels with TMEM173, SMCR8, TRAF6 and USP10 in the urinary bladder, while in pancreas it is more similar to DYNLL1 and PPP1CA.
Beside protein–protein interactions we also collected transcriptional regulators of the two ULK homologs, and annotated transcription factor binding sites in one or both of the ULK homolog promoters. However, as the regulatory connections were mostly determined in high-throughput studies, in most cases we do not know if the specific transcription factors are actually specific to the respective ULK gene. The exceptions are ETS1 and p53. This is because Gao et al. analysed the effect of p53 on both ULK genes, and found that ectopic expression of p53 results in elevated level of ULK1, but not ULK230. Interestingly, for p53, we found two transcription factor binding sites on the promoter of ULK1, but we also found one binding site along the promoter of ULK2. It is possible that because of the two transcription factor binding sites, p53 is more likely to bind to the promoter of ULK1, hence affecting its expression. Beside p53, other ULK1- or ULK2-specific transcription factors (ATF4, ESR1, CEBPA, HIF1A, FOXP1) have binding sites on the other ULK homolog as well, which makes them a potential pool for further experimental validation.
To investigate the non-autophagy related functional differences between ULK1 and ULK2, we analysed their protein interactors and transcriptional regulators for different biological processes and compared the results with the identified ULK1- and ULK2-specific protein motifs. ULK1 and ULK2 had already been found to be partially redundant, as for example double knockdown of ULK1 and ULK2 results in a severe reduction of glucose consumption in HCT116 cells, whereas ULK1 and ULK2 single knockdowns result in moderate reduction31. Nonetheless, ULK1, but not ULK2 knockdown reduces the glucose consumption significantly31. This is consistent with our observations that ‘organic substance catabolic process’ and ‘carbohydrate metabolic process’ is a significant GO term shared between interactors of ULK1 but not ULK2. Interactors of ULK1 have also been found to have interactors sharing the function ‘Intracellular transport’. Among the affected interactors, SEC23A is known to be required for the translocation of insulin-induced glucose transporter SLC2A4/GLUT4 to the cell membrane in mouse fibroblasts32, which links ULK1 to glucose transport too. Another ‘Intracellular transport’-affected partner of ULK1, DYNLL1 regulates apoptotic activities of BCL2L11 by sequestering it to microtubules33.
In another study, Ro et al. showed that 3T3-L1 cells (a cell line model for adipocytes) do not require ULK1 for adipogenesis, while knockdown of other autophagy genes, including ULK2, suppressed adipogenesis10. ULK2 expression was upregulated in ULK1 knockdown cells, and vice versa, but in ULK2 knockdown cells upregulation of ULK1 did not rescue the phenotype. In ULK2 knockdown cells the expression of PPARG and CEBPA was decreased too, which also supports our results as CEBPA is one of the ULK2-specific transcription factors we highlighted.
We identified that protein interactors of ULK1 but not ULK2 were annotated with the process of stress response, which is in agreement with the results from Wang et al., where they showed that stress granule proteins were enriched in the ULK1 interactome34. For creating an ULK1 interactome they used quantitative mass spectrometry and data from the STRING, BioPlex, InWeb, and BioGRID databases. Except for the BioGRID database, these are different databases to the ones used in this study, making their finding an independent evidence contributing to our results. Even though they did not check the interactome of ULK2, they performed experiments with both proteins and showed that ULK1 and ULK2 localized to stress granules. However, depending on the examined cell line, different levels of colocalization was observed between the TIA1 protein (stress granule marker) and a respective ULK homologue. While murine embryonic fibroblasts (MEFs) seem to display a better colocalization of stress granules and ULK1 (compared to the colocalization of TIA1 and ULK2), the mouse myoblast C2C12 cell line seems to show the opposite34. Nonetheless, as interacting partners of ULK1 share the GO term for cellular response to stress, our hypothesis is that ULK1 could have a bigger influence on stress response than ULK2. The results of the functional analysis are further supported by the presence of a phosphorylation site (DOC_Cyclin_RxL_1: Cyclin docking motif), specific to ULK1, on which cyclin/Cdk complexes involved in different biological processes, such as stress response can influence ULK1 (Table 1).
Importantly, our functional analysis suggests that ULK1 and not ULK2 has a specific role in apoptosis and programmed cell death as we found the apoptotic process being one of the significant GO terms that is shared among the transcription factors of ULK1. A crosstalk between apoptosis and autophagy is already well-described, but the difference between ULK1 and ULK2 in the process has not yet been defined35. We found ULK1-specific differences in relation to apoptosis on the protein interaction level: we identified an ULK1-specific motif (CLV_C14_Caspase3–7), which is annotated as a site for Caspase-3 and Caspase-7 cleavage. Kim et al. examined another autophagy-related protein, Beclin-1, and found that it is cleaved by caspases36,37. Strikingly, Beclin-1 contains the same protein motif we identified on ULK1, confirming that ULK1 could be indeed affected by apoptosis. Validation of the distinct effects of ULK1 and ULK2 on apoptosis could also shed light on further details of the fine regulation between apoptosis and autophagy. Supporting the importance of ULK1 in apoptosis, there is literature evidence that ULK1 acts as an anti-apoptotic protein however to our knowledge no information is available about ULK238,39. The promoting or inhibiting relationship between ULK1 and apoptosis could also be more complex than it seems, if we consider the results of our protein motif analysis where we found that ULK1, but not ULK2, has a motif (LIG_BIR_III_2) responsible for binding to inhibitor of apoptosis proteins (IAPs). IAPs are known to negatively affect apoptosis40, and binding to IAPs can promote apoptosis by antagonizing their interactions with proapoptotic proteins such as caspase-9 and Smac41. We also found a motif on ULK2 (LIG_EF_ALG2_ABM_2) that was previously annotated as being capable of binding to ALG-2 protein in a Ca2 + -dependent manner. ALG-2 has been implicated in ER-stress-induced apoptosis, and shown to be pro-apoptotic42,43. This leads us to speculate that contrary to ULK1, ULK2 can in fact have a negative effect on apoptosis, however there is not yet an experimental evidence to support this hypothesis. To study the potentially complex effects of ULK proteins on apoptosis regulation, it would be crucial to study both ULK1 and ULK2 in the same experimental setup, and for example conducting an IAP and ALG-2 co-localisation assay with ULK1/ULK2 single and double knockout cell lines. Moreover, following such cell line experiments, high throughput functional apoptosis assays could be conducted using available flow cytometry techniques for example developed by Thermo Fisher Scientific.
ULK2, opposed to ULK1, has previously been also shown to be essential for degradation of ubiquitinated proteins and homeostasis in skeletal muscle16. These results support our finding that transcription factors of ULK2, but not ULK1, are annotated to be significant in homeostasis. While our study is not specific for skeletal tissue, we show that ULK2 definitely has the potential to have a greater impact on tissue homeostasis, which can be especially elevated in tissues with higher expression of ULK2 than of ULK1.
Regarding further specific motifs, ULK2 harbours a TRAF6 binding site (LIG_TRAF6 motif), which is responsible for a response to the tumor necrosis factor receptor (TNFR) superfamily, and direct interaction with various TNF cytokine receptors. The presence of the TRAF6 binding site motif on ULK2 but not on ULK1 underlines the finding that ULK2-specific transcriptional regulators share the function for response to cytokines. This seems relevant in inflammatory diseases, like ulcerative colitis (UC), where the level of cytokines is increased. Interestingly, as we found in two microarray datasets (GSE673144, GSE5330644,45), ULK2 is downregulated in colon biopsies from inactive UC compared to healthy patients (The lists of differentially expressed genes from the GSE673144 and GSE5330645 are included in Supplementary Table S1). It is crucial to highlight that while in the case of functions shared by ULK1 and ULK2, ULK homologs can have a compensatory effect when one of the homologs is missing, but compensation of specific functions is not possible. In the case of UC for example, ULK-specific functions can cause an insufficient reaction to cytokines43.
To be able to list all functions that are affected by the difference between ULK1 and ULK2, it would be key to experimentally compare the two proteins in various functional assays. Our systems level computational analysis can be a great source for further experimental testing. In Table 3, we listed some of the findings of our computational analysis, together with supporting experiments from the literature. In cases of certain functions, where only one of the ULK genes/proteins has been tested it would be essential to extend the experiment with the other ULK homolog. This would be especially useful for example in studying apoptosis, where ULK1 has been shown to acts as an anti-apoptotic protein however to our knowledge no experimental comparison is available with ULK238,39.
In conclusion, with our computational analysis, we have shown that two homologs in the autophagy induction complex, ULK1 and ULK2 likely have specific roles in certain biological processes controlled and mediated by ULK-specific upstream and downstream protein interactors, and transcriptional regulators. In addition, interactors of ULK1 and ULK2 within the autophagy core machinery are involved in different types of selective autophagy, which can mean different outcome in term of selective autophagy when one of the ULK homologs is missing or affected for example in disease. In order to understand the practical consequence of the presented key differences between ULK1 and ULK2 on autophagy, experimental studies for disease conditions such as UC should consider analysing these two genes separately. Further analysis on this could help us understand more details about how autophagy is dysregulated in diseased conditions.
Materials and methods
For the comparison of domain structures of the ULK homologs, we used the Pfam website (https://pfam.xfam.org/)47 and for comparison of 3D secondary structure of the ULK1 and ULK2 kinase domain we used the UCSF Chimera software (https://rbvi.ucsf.edu/chimera)48. For the annotation of the ULK1 gene duplication event, the dendrogram was adapted from the OMA orthology browser (https://omabrowser.org/)49: the branches were collapsed into representative groups and information about the number of homologs in the respective taxa was added. DNA and protein sequences were retrieved from Uniprot (https://uniprot.org/)50 and their protein alignments were carried out with MUSCLE (https://ebi.ac.uk/Tools/msa/muscle/)51 with default parameters and ClustalW output format. The protein motifs were downloaded from the Eukaryotic Linear Motif (ELM) resource (https://elm.eu.org/)52. The motifs on ULK1 and ULK2 went through a globular domain filtering, structural filtering and context filtering, so we analysed only the accessible motifs that are either outside of globular protein domains or they have an acceptable structural score. Tissue expression data was downloaded from The Human Protein Atlas (https://proteinatlas.org/about/download)53 as consensus RNA expression. The heatmaps were generated with the heatmap.2 function, with default clustering settings and column-scaling which was normalized to both ULK1- and ULK2-specific heatmaps. The promoter sequences of the human genes ULK1 and ULK2 were retrieved using the "retrieve sequence" function of RSAT (https://rsat.eu/)54. For the genome assembly of these genes we used the Genome Reference Consortium Human Build 38 patch release 13 (GRCh38.p13)55,56. The genome annotation was obtained with the “Full genome build” method (version GENCODE 19), and it contains protein-coding and non-coding genes, splice variants, cDNA, protein sequences and non-coding RNAs. The transcription factor binding site prediction was carried out using the RSAT "matrix-scan" tool and the JASPAR 2018 non-redundant matrices containing the binding profiles of human transcription factors (TFs) (https://jaspar2018.genereg.net/)57. Predicted sites with a P value of < 0.0001 were considered to be significant.
Interaction data was downloaded from databases on the 10th of July, 2019. We used various databases to collect experimentally verified, directed protein–protein (PPI) and transcription factor-target gene interactions for human: the Autophagy Regulatory Network, that involves manually curated interactions between autophagy proteins, their post-translational regulators and between signalling components obtained from manual curation, 19 external databases and 4 prediction methods (ARN, https://autophagyregulation.org/)23; OmniPath, containing 20 resources that provide causal interactions (12 about activity flow and 8 about enzyme–substrate interactions), 8 that deliver undirected interactions from both literature curation and high-throughput screens, and 6 that capture biochemical reactions (https://omnipathdb.org/)58; TRRUST, a manually curated database of human and mouse transcriptional regulatory networks derived from 11,237 Pubmed articles, which describe small-scale experimental studies of transcriptional regulations (version 2, https://grnpedia.org/trrust/)59; ORegAnno, that involves regulatory regions, TFBSs and regulatory variants (polymorphisms and haplotypes) from 19 species from external datasets and extensive manual curation, of ChIP-seq, DNase-seq, FAIRE-seq and other experiments (version 3.0, https://oreganno.org/)60 and HTRIdb, containing unique experimentally verified transcriptional regulation interactions detected by small and mid-scale techniques (chromatin immunoprecipitation, concatenate chromatin immunoprecipitation, CpG chromatin immunoprecipitation, DNA affinity chromatography, DNA affinity precipitation assay, DNase I footprinting, electrophoretic mobility shift assay, southwestern blotting, streptavidin chromatin immunoprecipitation, surface plasmon resonance and yeast one-hybrid assay) and by chromatin immunoprecipitation coupled with microarray (ChIP-chip) or chromatin immunoprecipitation coupled with deep sequencing (ChIP-seq)61. Additionally, we used PPI predictions based on the Pfam (https://pfam.xfam.org/)47 and ELM (https://elm.eu.org/)52 databases. The ARN contains PPI and TF-TG interactions specifically related to autophagy, whereas the other databases are more general, so we filtered the data to obtain a subset of interactions containing ULK1 and ULK2-related connections. In the final PPI dataset we included experimentally verified interactions only when they were directed, and interactions where information on the direction was not available from the experimental data but we obtained the direction by our domain-motif interaction prediction.
To obtain the significantly shared biological processes of interactors of ULK1 and ULK2, we used the Generic Gene Ontology Term Finder (GOTermFinder, https://go.princeton.edu/cgi-bin/GOTermFinder)26, and we filtered GO terms by being specifically shared among interactors of ULK1 or ULK2. As the GOTermFinder gives significant GO terms as a result, the corrected P value was below 0.01 for all GO terms. Microarray datasets containing biopsy samples from inactive UC and healthy patients (GSE673144, GSE5330645) were analysed with the GEO2R function of the Gene Expression Omnibus (GEO, https://ncbi.nlm.nih.gov/geo/) with default settings. For network visualisation of the ULK1 and ULK2-related interactions we used the Cytoscape program (version 3.7.0, https://cytoscape.org/).
The datasets generated and analysed during the current study are present in the Supplementary materials.
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The authors are grateful for the helpful discussions to the past and present members and visitors of the Haerty and Korcsmaros groups. Molecular graphics and analyses performed with UCSF Chimera, developed by the Resource for Biocomputing, Visualization, and Informatics at the University of California, San Francisco, with support from NIH P41-GM103311. This work was supported by a fellowship to TK in computational biology at the Earlham Institute (Norwich, UK) in partnership with the Quadram Institute (Norwich, UK), and strategically supported by the Biotechnological and Biosciences Research Council, UK Grants (BB/J004529/1, BB/P016774/1). AD, TK and WH were supported by a BBSRC Core Strategic Programme Grant (BB/CSP17270/1). TK and AD were also funded by a BBSRC ISP grant for Gut Microbes and Health BB/R012490/1 and its constituent project(s), BBS/E/F/000PR10353 and BBS/E/F/000PR10355. MCRM was funded by an Erasmus Traineeship Grant from the European Commission. MO was supported by the BBSRC Norwich Research Park Biosciences Doctoral Training Partnership (Grant BB/M011216/1). WH was supported by an MRC Award (MR/P026028/1).
The authors declare no competing interests.
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Demeter, A., Romero-Mulero, M.C., Csabai, L. et al. ULK1 and ULK2 are less redundant than previously thought: computational analysis uncovers distinct regulation and functions of these autophagy induction proteins. Sci Rep 10, 10940 (2020). https://doi.org/10.1038/s41598-020-67780-2
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