A Novel Mechanism for NF-κB-activation via IκB-aggregation: Implications for Hepatic Mallory-Denk-Body Induced Inflammation

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Highlights

• •Liver Mallory-Denk-Body inducers elicited an IκBα-loss and NF-κB-activation.
• •IκBα-loss was due to its sequestration into insoluble cytoplasmic aggregates.
• •Four proteomic approaches identified 10 IκBα-interacting/aggregating proteins.
• •Nup153/RanBP2-aggregation prevented IκBα nuclear entry for ending NF-κB-activation.

     

Integrated Seed Proteome and Phosphoproteome Analyses Reveal Interplay of Nutrient Dynamics,Carbon–Nitrogen Partitioning,and Oxidative Signaling in Chickpea

Nutrient dynamics in storage organs is a complex developmental process that requires coordinated interactions of environmental, biochemical, and genetic factors. Although sink organ developmental events have been identified, understanding of translational and post‐translational regulation of reserve synthesis, accumulation, and utilization in legumes is limited. To understand nutrient dynamics during embryonic and cotyledonary photoheterotrophic transition to mature and germinating autotrophic seeds, an integrated proteomics and phosphoproteomics study in six sequential seed developmental stages in chickpea is performed. MS/MS analyses identify 109 unique nutrient‐associated proteins (NAPs) involved in metabolism, storage and biogenesis, and protein turnover. Differences and similarities in 60 nutrient‐associated phosphoproteins (NAPPs) containing 93 phosphosites are compared with NAPs. Data reveal accumulation of carbon–nitrogen metabolic and photosynthetic proteoforms during seed filling. Furthermore, enrichment of storage proteoforms and protease inhibitors is associated with cell expansion and seed maturation. Finally, combined proteoforms network analysis identifies three significant modules, centered around malate dehydrogenase, HSP70, triose phosphate isomerase, and vicilin. Novel clues suggest that ubiquitin–proteasome pathway regulates nutrient reallocation. Second, increased abundance of NAPs/NAPPs related to oxidative and serine/threonine signaling indicates direct interface between redox sensing and signaling during seed development. Taken together, nutrient signals act as metabolic and differentiation determinant governing storage organ reprogramming.     

Accumulation of “Old Proteins” and the Critical Need for MS‐based Protein Turnover Measurements in Aging and Longevity

Aging and age‐related diseases are accompanied by proteome remodeling and progressive declines in cellular machinery required to maintain protein homeostasis (proteostasis), such as autophagy, ubiquitin‐mediated degradation, and protein synthesis. While many studies have focused on capturing changes in proteostasis, the identification of proteins that evade these cellular processes has recently emerged as an approach to studying the aging proteome. With advances in proteomic technology, it is possible to monitor protein half‐lives and protein turnover at the level of individual proteins in vivo. For large‐scale studies, these technologies typically include the use of stable isotope labeling coupled with MS and comprehensive assessment of protein turnover rates. Protein turnover studies have revealed groups of highly relevant long‐lived proteins (LLPs), such as the nuclear pore complexes, extracellular matrix proteins, and protein aggregates. Here, the role of LLPs during aging and age‐related diseases and the methods used to identify and quantify their changes are reviewed. The methods available to conduct studies of protein turnover, used in combination with traditional proteomic methods, will enable the field to perform studies in a systems biology context, as changes in proteostasis may not be revealed in studies that solely measure differential protein abundances.     

A Comprehensive Analysis of Symmetric Arginine Dimethylation in Colorectal Cancer Tissues Using Immunoaffinity Enrichment and Mass Spectrometry

Protein arginine methyltransferase 5 (PRMT5) is a major enzyme responsible for generating monomethyl and symmetric dimethyl arginine in proteins. PRMT5 is essential for cell viability and development, and its overexpression is observed in a variety of cancers. In the present study, it is found that levels of PRMT5 protein and symmetric arginine dimethylation in colorectal cancer (CRC) tissues are increased compared to those in adjacent noncancerous tissues. Using immunoaffinity enrichment of methylated peptides combined with high‐resolution mass spectrometry, a total of 147 symmetric dimethyl‐arginine (SDMA) sites in 94 proteins are identified, many of which are RNA binding proteins and enzymes. Quantitative analysis comparing CRC and normal tissues reveals significant increase in the symmetric dimethylation of 70 arginine sites in 46 proteins and a decrease in that of four arginine sites in four proteins. Among the 94 proteins identified in this study, it is confirmed that KH‐type splicing regulatory protein is a target of PRMT5 and highly expressed in CRC tissues compared to noncancerous tissues. This study is the first comprehensive analysis of symmetric arginine dimethylation using clinical samples and extends the number of known in vivo SDMA sites. The data obtained are available via ProteomeXchange with the identifier PXD015653.     

三株亚肉座菌乙酸乙酯提取物生物活性及GC-MS分析

采用乙酸乙酯提取3株亚肉座菌菌丝体,测试虫生真菌乙酸乙酯提取物（EAE）的抗肿瘤、抗菌和抗氧化活性,并借助GC-MS方法分析各提取物中的化学成分。结果发现2株亚肉座菌的菌丝体EAE对HepG2细胞的抑制活性较强,IC₅₀均小于9μmol/L;抗菌结果表明2株真菌的提取物具有抑制细菌生长的作用;1株供试菌的EAE表现出较强的DPPH自由基清除活性（清除率可达85%）。GC-MS分析表明从亚肉座菌JXJG201717、JXJG201720和ARSEF7697的EAE中分别鉴定出21、35和39种成分,主要成分为酯类、醇类和酸类;盘状亚肉座菌JXJG201720与ARSEF7697有相同化合物13个,与暹罗亚肉座菌JXJG201717存在7个相同化合物。本研究表明虫生亚肉座菌具有产生丰富活性成分的能力,彰显出多种利用价值。     

Graphitic‐Shell Encapsulation of Metal Electrocatalysts for Oxygen Evolution,Oxygen Reduction,and Hydrogen Evolution in Alkaline Solution

Developing highly efficient, cost effective, and environmentally friendly electrocatalysts for the oxygen evolution reaction (OER), oxygen reduction reaction (ORR), and hydrogen evolution reaction (HER) is of interest for sustainable and clean energy technologies, including metal–air batteries and fuel cells. In this work, the screening of electrocatalytic activities of a series of single metallic iron, cobalt, and nickel nanoparticles and their binary and ternary alloys encapsulated in a graphitic carbon shell toward the OER, ORR, and HER in alkaline media is reported. Synthesis of these compounds proceeds by a two‐step sol–gel and carbothermal reduction procedure. Various ex situ characterizations show that with harsh electrochemical activation, the graphitic shell undergoes an electrochemical exfoliation. The modified electronic properties of the remaining graphene layers prevent their exfoliation, protect the bulk of the metallic cores, and participate in the electrocatalysis. The amount of near‐surface, higher‐oxidation‐state metals in the as‐prepared samples increases with electrochemical cycling, indicating that some metallic nanoparticles are not adequately encased within the graphite shell. Such surface oxide species provide secondary active sites for the electrocatalytic activities. The Ni–Fe binary system gives the most promising results for the OER, and the Co–Fe binary system shows the most promise for the ORR and HER.     

Investigating the Effects of Chemical Gradients on Performance and Reliability within Perovskite Solar Cells with TOF‐SIMS

Time‐of‐flight secondary‐ion mass spectrometry (TOF‐SIMS), a powerful analytical technique sensitive to all components of perovskite solar cell (PSC) materials, can differentiate between the various organic species within a PSC absorber or a complete device stack. The ability to probe chemical gradients through the depth of a device (both organic and inorganic), with down to 100 nm lateral resolution, can lead to unique insights into the relationships between chemistry in the absorber bulk, at grain boundaries, and at interfaces as well as how they relate to changes in performance and/or stability. In this review, the technique is described; then, from the literature, several examples of how TOF‐SIMS have been used to provide unique insight into PSC absorbers and devices are covered. Finally, the common artifacts that can be introduced if the data are improperly collected, as well as methods to mitigate these artifacts are discussed.     

Accelerating Atomic Catalyst Discovery by Theoretical Calculations‐Machine Learning Strategy

Atomic catalysts (AC) are emerging as a highly attractive research topic, especially in sustainable energy fields. Lack of a full picture of the hydrogen evolution reaction (HER) impedes the future development of potential electrocatalysts. In this work, the systematic investigation of the HER process in graphdyine (GDY) based AC is presented in terms of the adsorption energies, adsorption trend, electronic structures, reaction pathway, and active sites. This comprehensive work innovatively reveals GDY based AC for HER covering all the transition metals (TM) and lanthanide (Ln) metals, enabling the screening of potential catalysts. The density functional theory (DFT) calculations carefully explore the HER performance beyond the comparison of sole H adsorption. Therefore, the screened catalysts candidates not only match with experimental results but also provide significant references for novel catalysts. Moreover, the machine learning (ML) technique bag‐tree approach is innovatively utilized based on the fuzzy model for data separation and converse prediction of the HER performance, which indicates a similar result to the theoretical calculations. From two independent theoretical perspectives (DFT and ML), this work proposes pivotal guidelines for experimental catalyst design and synthesis. The proposed advanced research strategy shows great potential as a general approach in other energy‐related areas.     

Domestication is associated with differential expression of pikeperch egg proteins involved in metabolism,immune response and protein folding

Domestication is a condition in which the breeding, care and feeding of animals are, at least in part, controlled by humans. Information regarding the changes in the protein composition of eggs in response to domestication is very limited. Such data are prerequisite for improvements in the reproduction of domesticated fish. The aim of this study was to examine the impact of domestication on the proteome of pikeperch eggs using two-dimensional differential in-gel electrophoresis. We analysed high-quality eggs from domesticated and wild pikeperch fish to reveal proteins that were presumably only related to the domestication process and not to the quality of eggs. Here, we show that domestication has a profound impact on the protein profile of pikeperch eggs. We identified 66 differentially abundant protein spots, including 27 spots that were more abundant in wild-caught pikeperch eggs and 39 spots that were enriched in eggs collected from domesticated females. Eggs originating from wild-caught females showed higher expression levels of proteins involved in folding, apoptotic process, purine metabolism and immune response, whereas eggs of domesticated females showed higher expression levels of proteins that participated mainly in metabolism. The changes in metabolic proteins in eggs from domesticated females can reflect the adaptation of pikeperch to commercial diets, which have profoundly distinct compositions compared with natural diets. The decrease in the abundance of proteins related to immune response in eggs from the domesticated population suggests that domestication may lead to disturbances in defence mechanisms. In turn, the lower abundance of heat shock proteins in eggs of domesticated fish may indicate their adaptation to stable farming conditions and reduced environmental stressors or their better tolerance of stress from breeding. The proteins identified in this study can increase our knowledge concerning the mechanism of the pikeperch domestication process.