Proteomic analysis of the sorting machineries involved in vesicular traffic between the biosynthetic and endosomal compartments

Vesicular traffic along the biosynthetic and endocytic pathways is essential for homeostasis of eukaryotic cells. However, it raised the question of how the proteins characteristic for each compartment are transported to their destination (Bonifacino and Glick, 2004). This study is especially focusing on the connection between the Golgi apparatus and the endosomal compartment, mediated by two parallel trafficking pathways regulated by the clathrin adaptors AP-1A and AP-3 (Owen et al., 2004). Typical cargo molecules sorted along the AP-1A regulated pathway are mannose 6-phosphate receptors (MPRs) (Ghosh et al., 2003) or the gpI envelop glycoprotein of the Vesicular Zoster virus (Alconada et al., 1996), while sorting of lysosomal membrane proteins like Lamp-1 and LimpII is AP-3 regulated (Eskelinen et al., 2003). To study how AP-1A and AP-3 coats are stabilized on membranes and to identify the protein networks involved, a liposome based in vitro assay that recapitulates the fidelity of protein sorting in vivo was developed and combined with proteomic screens. Therefore, liposomes carrying cytoplasmic domains of gpI or Lamp-1/LimpII were used as affinity matrix to recruit selectively AP-1A or AP-3 and associated protein machineries. The coated liposomes were then analyzed by mass spectrometry. Using the in vitro recruitment assay, it was possible to demonstrate that efficient and selective recruitment of AP-1A and AP-3 coats depends on the presence of several low affinity binding sites on membranes. Thus, AP-1A and AP-3 recognize their target membranes by activated Arf1 GTPases, organelle specific phosphoinositides, PI-4P and PI-3P respectively, and distinct cargo molecules carrying intact signals in their cytoplasmic domains. The implication of PI-3P in AP-3 recruitment was further supported by in vivo experiments. During the biochemical characterization of the assay, several lines of evidence indicated that cargo tails containing intact sorting signals stabilize not only AP-1A and AP-3 coats on membranes but also influence the membrane recruitment of Arf1. It is possible that cargo molecules indirectly drive an Arf1 amplification loop, thereby ensuring efficient AP coat assembly. The proteomic screens identified protein networks of ≈40 proteins selectively recruited on AP-1A coated structures. The most appealing result of the analysis was the presence of two additional protein machineries, one involved in actin nucleation the other involved membrane fusion. More precisely, the AP-1A analysis identified the selective recruitment of the AP-1A subunits and interacting molecules (clathrin, g-synergin), Arf1 and Arf1 effectors (Big2, Git1), Rac1 including Rac1 effectors (b-PIX, RhoGEF7) and a Rac1 dependent actin nucleation machinery (Wave/Scar complex, Arp2/3 complex, associated effectors) as well as members of a Rab machinery (Rab11, Rab14). This finding was further supported by in vivo colocalization studies of the AP-1A cargo CI-MPR with CYFIP2, a protein of the Wave/Scar complex, and the localization of Big2 and Git1 on Rab11 positive membranes (Matafora et al., 2001; Shin et al., 2004). The biochemical characterization revealed that the stabilization of AP-1A coats, most probably driven by cargo molecules that stabilize AP-1A and Arf1 on membranes, leads as well to the stabilization of the two other machineries. Thus, the results support the notion that cargo sorting, vesicular movement and membrane fusion are coordinated during early steps of vesicular traffic. In analogy, the proteomic screens on AP-3 coated structures identified as well ≈40 selectively recruited proteins, which constituted a similar supramolecular network of protein machineries involved in coat formation, action nucleation and membrane fusion via Rab proteins. Thus, beside the AP-3 coat including the AP-3 subunits, Arf1 and Arf effectors (Big1, ARAP1, AGAP1), members of the septin family involved in actin rearrangements and most of the already described effectors of Rab5 microdomains (EEA1, Rabaptin-5, Rabex-5, Vps45) involved in early endosomal dynamics were selectively recruited together with Rab5 and Rab7. Thus, the proteomic analysis of AP-1A and AP-3 coated structures suggest that both AP coats use similar principles - coats, actin nucleation devices and Rab fusion machineries - to assemble supramolecular structures needed for membrane traffic. Although we do not have the ultimate proves yet, it seems as AP-1A and AP-3 use different members of subcomplexes, hence different GTPase effectors, different actin nucleation machineries and different Rab GTPases, to regulate their specific transport pathways and to link the different protein machineries. The proteomic analysis revealed for example that they probably use different Arf and Rho GTPase effectors to link the coat with actin nucleation. However, this has to be proven experimentally. In order to understand the networks of protein interactions, bioinformatic tools were used as a first approach. Even though some clues about the overall organization of the supramolecular protein complexes were provided, the direct links to the Rab machinery are still elusive. Maybe the proteins with thus far unknown functions could be involved. The biochemical analysis, especially the role of PIPs, and the Rab GTPases identified in the context of AP-1A and AP-3, provide indications about AP-1A and AP-3 function in vivo. The results could be interpreted in a way that AP-1A functions either in traffic from PI-4P positive membranes towards Rab11/Rab14 positive membranes or AP-1A coats assemble on PI-4P and Rab11 or Rab14 positive membranes, hence, TGN to endosomes traffic. The same holds true for AP-3, the results either suggest AP-3 mediates traffic from PI-3P positive towards Rab5/Rab7 positive membranes or they could be interpreted in a way that AP-3 assembles on PI-3P and Rab5 positive membranes for subsequent transport to Rab7 positive membranes, thus traffic from early to late endosomes. Overall, the results of this thesis research provided important insight into the formation of AP-1A and AP-3 coated structures and the potential interconnection between AP coats, actin nucleation and membrane fusion machineries. Alconada, A., U. Bauer, and B. Hoflack. 1996. A tyrosine-based motif and a casein kinase II phosphorylation site regulate the intracellular trafficking of the varicella-zoster virus glycoprotein I, a protein localized in the trans-Golgi network. Embo J. 15:6096-110. Bonifacino, J.S., and B.S. Glick. 2004. The mechanisms of vesicle budding and fusion. Cell. 116:153-66. Eskelinen, E.L., Y. Tanaka, and P. Saftig. 2003. At the acidic edge: emerging functions for lysosomal membrane proteins. Trends Cell Biol. 13:137-45. Ghosh, P., N.M. Dahms, and S. Kornfeld. 2003. Mannose 6-phosphate receptors: new twists in the tale. Nat Rev Mol Cell Biol. 4:202-12. Matafora, V., S. Paris, S. Dariozzi, and I. de Curtis. 2001. Molecular mechanisms regulating the subcellular localization of p95-APP1 between the endosomal recycling compartment and sites of actin organization at the cell surface. J Cell Sci. 114:4509-20. Owen, D.J., B.M. Collins, and P.R. Evans. 2004. Adaptors for clathrin coats: structure and function. Annu Rev Cell Dev Biol. 20:153-91. Shin, H.W., N. Morinaga, M. Noda, and K. Nakayama. 2004. BIG2, a guanine nucleotide exchange factor for ADP-ribosylation factors: its localization to recycling endosomes and implication in the endosome integrity. Mol Biol Cell. 15:5283-94

Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere

Fourier Neural Operators (FNOs) have proven to be an efficient and effective method for resolution-independent operator learning in a broad variety of application areas across scientific machine learning. A key reason for their success is their ability to accurately model long-range dependencies in spatio-temporal data by learning global convolutions in a computationally efficient manner. To this end, FNOs rely on the discrete Fourier transform (DFT), however, DFTs cause visual and spectral artifacts as well as pronounced dissipation when learning operators in spherical coordinates since they incorrectly assume a flat geometry. To overcome this limitation, we generalize FNOs on the sphere, introducing Spherical FNOs (SFNOs) for learning operators on spherical geometries. We apply SFNOs to forecasting atmospheric dynamics, and demonstrate stable auto\-regressive rollouts for a year of simulated time (1,460 steps), while retaining physically plausible dynamics. The SFNO has important implications for machine learning-based simulation of climate dynamics that could eventually help accelerate our response to climate change

Auditory complications among childhood cancer survivors and health-related quality of life: a PanCareLIFE study.

PURPOSE Auditory complications are potential side effects from childhood cancer treatment. Yet, limited evidence exists about the impact of auditory complications-particularly tinnitus-on health-related quality of life (HRQoL) among childhood cancer survivors (CCS). We determined the prevalence of hearing loss and tinnitus in the European PanCareLIFE cohort of CCS and examined its effect on HRQoL. METHODS We included CCS from four European countries who were diagnosed at age ≤ 18 years; survived ≥ 5 years; and aged 25-44 years at study. We assessed HRQoL (Short Form 36), hearing loss, and tinnitus using questionnaires. We used multivariable linear regression to examine associations between these two auditory complications and HRQoL adjusting for socio-demographic and clinical factors. RESULTS Our study population consisted of 6,318 CCS (53% female; median age at cancer diagnosis 9 years interquartile range [IQR] 5-13 years) with median age at survey of 31 years (IQR 28-35 years). Prevalence was 7.5% (476/6,318; confidence interval [CI]: 6.9-8.2) for hearing loss and 7.6% (127/1,668; CI: 6.4-9.0) for tinnitus. CCS with hearing loss had impaired physical (coefficient [coef.] -4.3, CI: -7.0 to -1.6) and mental (coef. -3.2, CI: -5.5 to -0.8) HRQoL when compared with CCS with normal hearing. Tinnitus was associated with impaired physical (coef. -8.2, CI: -11.8 to -4.7) and mental (coef. -5.9, CI: -8.8 to -3.1) HRQoL. CONCLUSION We observed reduced HRQoL among CCS with hearing loss and tinnitus. Our findings indicate timely treatment of hearing loss and tinnitus may contribute to quality of life of survivors. IMPLICATIONS FOR CANCER SURVIVORS CCS who experience auditory complications should be counseled about possible therapeutic and supportive measures during follow-up care

The impact of the temporal sequence of cranial radiotherapy and platin-based chemotherapy on hearing impairment in pediatric and adolescent CNS and head-and-neck cancer patients: A report from the PanCareLIFE consortium.

The impact of the temporal sequence by which cranial radiotherapy (CRT) and platin-based chemotherapy (PCth) are administered on sensorineural hearing loss (SNHL) in pediatric and adolescent central nervous system (CNS) and head-and-neck (HN) cancer patients has not yet been studied in detail. We examined the ototoxic effects of sequentially applied CRT and PCth. This study included children and adolescents with CNS and HN tumors who participated in the multicountry PanCareLIFE (PCL) consortium. Audiological outcomes were compared between patients who received CRT prior to PCth and those who received it afterwards. The incidence, degree and posttreatment progression of SNHL, defined as Muenster classification grade ≥MS2b, were evaluated in 141 patients. One hundred and nineteen patients were included in a time-to-onset analysis. Eighty-eight patients received CRT prior to PCth (Group 1) and 53 patients received PCth before CRT (Group 2). Over a median follow-up time of 1.6 years, 72.7% of patients in Group 1 experienced SNHL ≥ MS2b compared to 33.9% in Group 2 (P < .01). A time-to-onset analysis was performed for 74 patients from Group 1 and 45 patients from Group 2. Median time to hearing loss (HL) ≥ MS2b was 1.2 years in Group 1 and 4.4 years in Group 2 (P < .01). Thus, audiological outcomes were better for patients who received CRT after PCth than before. This finding should be further evaluated and considered within clinical practice in order to minimize hearing loss in children and adolescents with CNS and HN tumors

Proteomic analysis of the sorting machineries involved in vesicular traffic between the biosynthetic and endosomal compartments

Vesicular traffic along the biosynthetic and endocytic pathways is essential for homeostasis of eukaryotic cells. However, it raised the question of how the proteins characteristic for each compartment are transported to their destination (Bonifacino and Glick, 2004). This study is especially focusing on the connection between the Golgi apparatus and the endosomal compartment, mediated by two parallel trafficking pathways regulated by the clathrin adaptors AP-1A and AP-3 (Owen et al., 2004). Typical cargo molecules sorted along the AP-1A regulated pathway are mannose 6-phosphate receptors (MPRs) (Ghosh et al., 2003) or the gpI envelop glycoprotein of the Vesicular Zoster virus (Alconada et al., 1996), while sorting of lysosomal membrane proteins like Lamp-1 and LimpII is AP-3 regulated (Eskelinen et al., 2003). To study how AP-1A and AP-3 coats are stabilized on membranes and to identify the protein networks involved, a liposome based in vitro assay that recapitulates the fidelity of protein sorting in vivo was developed and combined with proteomic screens. Therefore, liposomes carrying cytoplasmic domains of gpI or Lamp-1/LimpII were used as affinity matrix to recruit selectively AP-1A or AP-3 and associated protein machineries. The coated liposomes were then analyzed by mass spectrometry. Using the in vitro recruitment assay, it was possible to demonstrate that efficient and selective recruitment of AP-1A and AP-3 coats depends on the presence of several low affinity binding sites on membranes. Thus, AP-1A and AP-3 recognize their target membranes by activated Arf1 GTPases, organelle specific phosphoinositides, PI-4P and PI-3P respectively, and distinct cargo molecules carrying intact signals in their cytoplasmic domains. The implication of PI-3P in AP-3 recruitment was further supported by in vivo experiments. During the biochemical characterization of the assay, several lines of evidence indicated that cargo tails containing intact sorting signals stabilize not only AP-1A and AP-3 coats on membranes but also influence the membrane recruitment of Arf1. It is possible that cargo molecules indirectly drive an Arf1 amplification loop, thereby ensuring efficient AP coat assembly. The proteomic screens identified protein networks of ≈40 proteins selectively recruited on AP-1A coated structures. The most appealing result of the analysis was the presence of two additional protein machineries, one involved in actin nucleation the other involved membrane fusion. More precisely, the AP-1A analysis identified the selective recruitment of the AP-1A subunits and interacting molecules (clathrin, g-synergin), Arf1 and Arf1 effectors (Big2, Git1), Rac1 including Rac1 effectors (b-PIX, RhoGEF7) and a Rac1 dependent actin nucleation machinery (Wave/Scar complex, Arp2/3 complex, associated effectors) as well as members of a Rab machinery (Rab11, Rab14). This finding was further supported by in vivo colocalization studies of the AP-1A cargo CI-MPR with CYFIP2, a protein of the Wave/Scar complex, and the localization of Big2 and Git1 on Rab11 positive membranes (Matafora et al., 2001; Shin et al., 2004). The biochemical characterization revealed that the stabilization of AP-1A coats, most probably driven by cargo molecules that stabilize AP-1A and Arf1 on membranes, leads as well to the stabilization of the two other machineries. Thus, the results support the notion that cargo sorting, vesicular movement and membrane fusion are coordinated during early steps of vesicular traffic. In analogy, the proteomic screens on AP-3 coated structures identified as well ≈40 selectively recruited proteins, which constituted a similar supramolecular network of protein machineries involved in coat formation, action nucleation and membrane fusion via Rab proteins. Thus, beside the AP-3 coat including the AP-3 subunits, Arf1 and Arf effectors (Big1, ARAP1, AGAP1), members of the septin family involved in actin rearrangements and most of the already described effectors of Rab5 microdomains (EEA1, Rabaptin-5, Rabex-5, Vps45) involved in early endosomal dynamics were selectively recruited together with Rab5 and Rab7. Thus, the proteomic analysis of AP-1A and AP-3 coated structures suggest that both AP coats use similar principles - coats, actin nucleation devices and Rab fusion machineries - to assemble supramolecular structures needed for membrane traffic. Although we do not have the ultimate proves yet, it seems as AP-1A and AP-3 use different members of subcomplexes, hence different GTPase effectors, different actin nucleation machineries and different Rab GTPases, to regulate their specific transport pathways and to link the different protein machineries. The proteomic analysis revealed for example that they probably use different Arf and Rho GTPase effectors to link the coat with actin nucleation. However, this has to be proven experimentally. In order to understand the networks of protein interactions, bioinformatic tools were used as a first approach. Even though some clues about the overall organization of the supramolecular protein complexes were provided, the direct links to the Rab machinery are still elusive. Maybe the proteins with thus far unknown functions could be involved. The biochemical analysis, especially the role of PIPs, and the Rab GTPases identified in the context of AP-1A and AP-3, provide indications about AP-1A and AP-3 function in vivo. The results could be interpreted in a way that AP-1A functions either in traffic from PI-4P positive membranes towards Rab11/Rab14 positive membranes or AP-1A coats assemble on PI-4P and Rab11 or Rab14 positive membranes, hence, TGN to endosomes traffic. The same holds true for AP-3, the results either suggest AP-3 mediates traffic from PI-3P positive towards Rab5/Rab7 positive membranes or they could be interpreted in a way that AP-3 assembles on PI-3P and Rab5 positive membranes for subsequent transport to Rab7 positive membranes, thus traffic from early to late endosomes. Overall, the results of this thesis research provided important insight into the formation of AP-1A and AP-3 coated structures and the potential interconnection between AP coats, actin nucleation and membrane fusion machineries. Alconada, A., U. Bauer, and B. Hoflack. 1996. A tyrosine-based motif and a casein kinase II phosphorylation site regulate the intracellular trafficking of the varicella-zoster virus glycoprotein I, a protein localized in the trans-Golgi network. Embo J. 15:6096-110. Bonifacino, J.S., and B.S. Glick. 2004. The mechanisms of vesicle budding and fusion. Cell. 116:153-66. Eskelinen, E.L., Y. Tanaka, and P. Saftig. 2003. At the acidic edge: emerging functions for lysosomal membrane proteins. Trends Cell Biol. 13:137-45. Ghosh, P., N.M. Dahms, and S. Kornfeld. 2003. Mannose 6-phosphate receptors: new twists in the tale. Nat Rev Mol Cell Biol. 4:202-12. Matafora, V., S. Paris, S. Dariozzi, and I. de Curtis. 2001. Molecular mechanisms regulating the subcellular localization of p95-APP1 between the endosomal recycling compartment and sites of actin organization at the cell surface. J Cell Sci. 114:4509-20. Owen, D.J., B.M. Collins, and P.R. Evans. 2004. Adaptors for clathrin coats: structure and function. Annu Rev Cell Dev Biol. 20:153-91. Shin, H.W., N. Morinaga, M. Noda, and K. Nakayama. 2004. BIG2, a guanine nucleotide exchange factor for ADP-ribosylation factors: its localization to recycling endosomes and implication in the endosome integrity. Mol Biol Cell. 15:5283-94

VersKiK qualitative study design: actual follow-up needs of paediatric cancer survivors, their informal caregivers and follow-up stakeholder perceptions in Germany

Introduction This article presents the study design of the qualitative part of the VersKiK study (Long-term care, care needs and wellbeing of individuals after cancer in childhood or adolescence: study protocol of a large scale multi-methods non-interventional study) aiming to explore actual follow-up needs of childhood and adolescence cancer survivors and their informal caregivers, gaps in current follow-up care provision and trajectories of cancer survivors’ transition from paediatric to adult healthcare.Methods and analysis We will conduct up to 30 interviews with survivors of childhood and adolescence cancer and their informal caregivers with up to 20 participant observations of follow-up appointments. The results of these will be discussed in up to four focus groups with healthcare professionals and representatives of self-help groups. The study design aims to evaluate follow-up care after childhood cancer considering perspectives from survivors, their informal caregivers as well as healthcare providers. The combination of different data sources will allow us to get an in-depth understanding of the current state of follow-up care after paediatric cancer in Germany and to suggest recommendations for care improvement.Ethics and dissemination The VersKiK study was approved by the Ethics Committee Otto von Guericke University on 2 July 2021 (103/21), by the Ethics Committee of Johannes Gutenberg University Mainz on 16 June 2021 (2021-16035), by the Ethics Committee University of Lübeck on 10 November 2021 (21-451), by the Ethics Committee University of Hospital Bonn on 28 February 2022 (05/22). For each part of the qualitative study, a separate written informed consent is prepared and approved accordingly by the ethics committees named above.Trial registration number Registered at German Clinical Trial Register, ID: DRKS00026092

Dynamics of Intracellular Clathrin/AP1- and Clathrin/AP3-Containing Carriers

Clathrin/AP1- and clathrin/AP3-coated vesicular carriers originate from endosomes and the trans-Golgi network. Here, we report the real-time visualization of these structures in living cells reliably tracked by rapid, three-dimensional imaging with the use of a spinning-disk confocal microscope. We imaged relatively sparse, diffraction-limited, fluorescent objects containing chimeric fluorescent protein (clathrin light chain, σ adaptor subunits, or dynamin2) with a spatial precision of up to ∼30 nm and a temporal resolution of ∼1 s. The dynamic characteristics of the intracellular clathrin/AP1 and clathrin/AP3 carriers are similar to those of endocytic clathrin/AP2 pits and vesicles; the clathrin/AP1 coats are, on average, slightly shorter-lived than their AP2 and AP3 counterparts. We confirmed that although dynamin2 is recruited as a burst to clathrin/AP2 pits immediately before their budding from the plasma membrane, we found no evidence supporting a similar association of dynamin2 with clathrin/AP1 or clathrin/AP3 carriers at any stage during their lifetime. We found no effects of chemical inhibitors of dynamin function or the K44A dominant-negative mutant of dynamin on AP1 and AP3 dynamics. This observation suggests that an alternative budding mechanism, yet to be discovered, is responsible for the scission step of clathrin/AP1 and clathrin/AP3 carriers

Anchorage of Synthetic Peptides onto Liposomes via Hydrazone and α-Oxo Hydrazone Bonds. Preliminary Functional Investigations

International audienc

The Clathrin Adaptor Gga2p Is a Phosphatidylinositol 4-phosphate Effector at the Golgi Exit

Phosphatidylinositol 4-phosphate (PI(4)P) is a key regulator of membrane transport required for the formation of transport carriers from the trans-Golgi network (TGN). The molecular mechanisms of PI(4)P signaling in this process are still poorly understood. In a search for PI(4)P effector molecules, we performed a screen for synthetic lethals in a background of reduced PI(4)P and found the gene GGA2. Our analysis uncovered a PI(4)P-dependent recruitment of the clathrin adaptor Gga2p to the TGN during Golgi-to-endosome trafficking. Gga2p recruitment to liposomes is stimulated both by PI(4)P and the small GTPase Arf1p in its active conformation, implicating these two molecules in the recruitment of Gga2p to the TGN, which ultimately controls the formation of clathrin-coated vesicles. PI(4)P binding occurs through a phosphoinositide-binding signature within the N-terminal VHS domain of Gga2p resembling a motif found in other clathrin interacting proteins. These data provide an explanation for the TGN-specific membrane recruitment of Gga2p