Adeno associated virus (AAV)-mediated gene delivery of GRP78 (78 kDa glucose-regulated protein) attenuates the condition of endoplasmic reticulum (ER) stress and prevents apoptotic loss of photoreceptors in Retinitis pigmentosa (RP) rats. In the current study we overexpressed Grp78 with the help of AAV-2 in primary human retinal pigmented epithelium (hRPE) cell cultures and examined its effect on cell response to ER stress. The purpose of this work was studying potential stimulating effect of GRP78 on adaptation/pro-survival of hRPE cells under ER stress, as an in vitro model for RPE degeneration. To investigate the effect of Grp78 overexpression on unfolded protein response (UPR) markers under ER stress, hRPE primary cultures were transduced by recombinant virus rAAV/Grp78, and treated with ER stressor drug, tunicamycin. Expression changes of four UPR markers including GRP78, PERK, ATF6α, and GADD153/CHOP, were assessed by real-time PCR and western blotting. We found that GRP78 has a great contribution in modulation of UPR markers to favor adaptive response in ER-stressed hRPE cells. In fact, GRP78 overexpression affected adaptation and apoptotic phases of early UPR, through enhancement of two master regulators/ER stress sensors (PERK and ATF6α) and down-regulation of a key pro-apoptotic cascade activator (GADD153/CHOP). Together these findings demonstrate the promoting effect of GRP78 on adaptation/pro-survival of hRPE cells under ER stress. This protein with anti-apoptotic actions in the early UPR and important role in cell fate regulation, can be recruited as a useful candidate for future investigations of RPE degenerative diseases.
Increasing evidence demonstrates that inflammation and endoplasmic reticulum (ER) stress is implicated in the development and progression of age-related macular degeneration (AMD), a multifactorial neurodegenerative disease. However the cross talk between these cellular mechanisms has not been clearly and fully understood. The present study investigates a possible intersection between ER stress and inflammation in AMD. In this study, we recruited two collections of involved protein markers to retrieve their interaction information from IMEx-curated databases, which are the most well- known protein-protein interaction collections, allowing us to design an intersection network for AMD that is unprecedented. In order to find expression activated subnetworks, we utilized AMD expression profiles in our network. In addition, we studied topological characteristics of the most expressed active subnetworks to identify the hubs. With regard to topological quantifications and expressional activity, we reported a list of the most pivotal hubs which are potentially applicable as probable therapeutic targets. Furthermore, we introduced MAPK signaling pathway as a significantly involved pathway in the association between ER stress and inflammation, leading to promising new directions in discovering AMD formation mechanisms and possible treatments.
Gastric cancer is one of the most fatal cancers in the world. Many efforts in recent years have attempted to find effective proteins in gastric cancer. By using a comprehensive list of proteins involved in gastric cancer, scientists were able to retrieve interaction information. The study of protein-protein interaction networks through systems biology based analysis provides appropriate strategies to discover candidate proteins and key biological pathways.In this study, we investigated dominant functional themes and centrality parameters including betweenness as well as the degree of each topological clusters and expressionally active sub-networks in the resulted network. The results of functional analysis on gene sets showed that neurotrophin signaling pathway, cell cycle and nucleotide excision possess the strongest enrichment signals. According to the computed centrality parameters, HNF4A, TAF1 and TP53 manifested as the most significant nodes in the interaction network of the engaged proteins in gastric cancer. This study also demonstrates pathways and proteins that are applicable as diagnostic markers and therapeutic targets for future attempts to overcome gastric cancer.
BackgroundAntibody responses to SARS-CoV-2 can be observed as early as 14 days post-infection, but little is known about the stability of antibody levels over time. Here we evaluate the long-term stability of anti-SARS-CoV-2 IgG antibodies following infection with SARS-CoV-2 in 402 adult donors.MethodsWe performed a multi-center study carried out at Plasma Donor Centers in the city of Heidelberg (Plasmazentrum Heidelberg, Germany) and Munich (Plasmazentrum München, Germany). We present anti-S/N and anti-N IgG antibody levels in prospective serum samples collected up to 403 days post recovery from SARS-CoV-2 infected individuals.ResultsThe cohort includes 402 adult donors (185 female, 217 male; 17 - 68 years of age) where anti-SARS-CoV-2 IgG levels were measured in plasma samples collected between 18- and 403-days post SARS-CoV-2 infection. A linear mixed effects model demonstrated IgG decay rates that decrease over time (χ2=176.8, p<0.00001) and an interaction of time*age χ (χ2=10.0, p<0.005)), with those over 60+ years showing the highest baseline IgG levels and the fastest rate of IgG decay. Baseline viral neutralization assays demonstrated that serum IgG levels correlated with in vitro neutralization capacity in 91% of our cohort.ConclusionLong-term antibody levels and age-specific antibody decay rates suggest the potential need for age-specific vaccine booster guidelines to ensure long term vaccine protection against SARS-CoV-2 infection.
The REarranged during Transfection (RET) receptor tyrosine kinase is pivotal for normal tissue development, but is also an oncogene driver involved in several human cancers. Alternative splicing at the 3' end of the RET gene leads to expression of two conserved protein isoforms, RET9 and RET51, that differ in their subcellular localization and protein trafficking, as well as their functional roles in tumorigenesis and metastatic processes. Importantly, RET9 and RET51 have unique C-terminal phospho-tyrosine binding sites, suggesting that they may also differ in their interactomes. We used a combination of cell-based screening and in silico approaches to identify novel potential interaction partners of RET isoforms. We performed a Mammalian Membrane Two-Hybrid (MaMTH) screen using a library of SH2 domain-containing adaptor and signaling proteins, to identify interactions with each RET isoform. We complemented these studies by using sequence homology detection models (HMM, PSSM), based on SH2 domain sequences known to interact with RET, to rank the SH2 library members and predict novel interactions. Independently, we compared published consensus binding sequences for each SH2 domain library member with predicted RET phosphotyrosine motifs to identify potential interactors. Predicted interactions were validated in co-immunoprecipitation assays. We confirmed previously known interactions of RET with SH2 domain proteins including SHC1, GRB2 and GRB10, and identified additional novel RET-binding proteins, a subset of which showed differential interactions that were mediated through RET isoform-specific docking sites. Our results suggest that combinations of distinct interaction partners may contribute to RET isoform-specific functions. Together, our research has developed a systematic approach to map and characterize RET isoform interactions. Our data suggest that no single method identified all confirmed RET interactions, and that a combination of multiple approaches improves characterization of growth factor receptor interactomes. Citation Format: Samira Kheitan, Annika E. Pedersen, Brandy D. Hyndman, Luka Drecun, Punit Saraon, Igor Stagliar, Lois M. Mulligan. A systemic approach to decipher the interactome of RET receptor isoforms [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 2450.
Background: Age-related macular degeneration (AMD) is the leading cause of vision loss in the elderly. Although it has been shown that Y402H polymorphism in the CFH gene was strongly associated with AMD in the Iranian population, there were no data on other single nucleotide polymorphisms (SNPs), which have the most significant association with AMD. This study aimed to investigate hot point regions in exon 10 and intron 9. Materials and Methods: One hundred and sixty-six AMD patients and 69 controls were recruited. Their blood was collected in the tubes containing EDTA. Then, DNA was extracted from the blood, and its quality was evaluated. Primers were designed for intron 9 and exon10 sequencing. A viral polymorphisms analysis software named CEQ was used for the analysis of putative polymorphisms. Results: We noticed three polymorphisms in study cases: rs7535263 and C66379A in intron 9 and rs2274700 in exon 10. Based on the McNamara’s test (rs7535263 and rs2274700) and the Phi and Cramer’s test (C66379A), a significant difference was found between the control and patient groups regarding rs7535263 and rs2274700 polymorphisms. Conclusion: We found a synonymous or silent mutation, A473A, rs2274700 in exon 10 in 85% of patients. From two intronic SNPs, just rs7535263 showed association with the disease in studied patients living in Gilan Province, Iran. Although no significant relationship was found between controls and patients regarding the C66379A allele, it would be important that no other sources have reported C66379A polymorphism in AMD yet.
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