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Processes for the production of protein isolates from camerlina Camelina sativa were developed by modifying the procedure used for other seeds from the Brassicaceae family, such as rapeseed and mustard. The procedure consisted of defatting the seed followed by alkaline extraction at pH 11, ultra- and diafiltration using a 5-kDa membrane, isolelectric precipitation of the proteins at pH 5 and recovery of the acid soluble protein isolates (SPI) after further filtration and drying. Protein yields as precipitated protein isolate and SPI were 10.7 and 11.4%, containing 67 and 42%, respectively. Due to the high concentration of mucilage in camelina, a water-to-seed ratio of 30 had to be used for protein extraction from the hexane-defatted seed and most of the mucilage had to be removed prior to the defatting process. A rapid mucilage extraction process using water at 55 °C was developed. Camelina mucilage absorbs water and oil. Viscosity measurements of dried and redissolved mucilage showed the highest values at natural pH, and the viscosity increased rapidly above 1% solids concentration. It may be a useful product in the food and pharmaceutical industries.

Nanoscale objects are processed by living organisms using highly evolved and sophisticated endogenous cellular networks, specifically designed to manage objects of this size. While these processes potentially allow nanostructures unique access to and control over key biological machineries, they are also highly protected by cell or host defence mechanisms at all levels. A thorough understanding of bionanoscale recognition events, including the molecules involved in the cell recognition machinery, the nature of information transferred during recognition processes and the coupled downstream cellular processing, would allow us to achieve a qualitatively novel form of biological control and advanced therapeutics. Here we discuss evolving fundamental microscopic and mechanistic understanding of biological nanoscale recognition. We consider the interface between a nanostructure and a target cell membrane, outlining the categories of nanostructure properties that are recognized, and the associated nanoscale signal transduction and cellular programming mechanisms that constitute biological recognition. This Perspective reflects current understanding and future prospects of nanoscale biological recognition at the bio–nano interface and the opportunity that such insights provide for advancing nanoscale therapies. The authors describe the key mechanisms and propose a framework of principles that could guide future research efforts in the area.

Many proteins must translocate through the protein-conducting Sec61 channel in the eukaryotic endoplasmic reticulum membrane or the SecY channel in the prokaryotic plasma membrane 1 , 2 . Proteins with highly hydrophobic signal sequences are first recognized by the signal recognition particle (SRP) 3 , 4 and then moved co-translationally through the Sec61 or SecY channel by the associated translating ribosome. Substrates with less hydrophobic signal sequences bypass the SRP and are moved through the channel post-translationally 5 , 6 . In eukaryotic cells, post-translational translocation is mediated by the association of the Sec61 channel with another membrane protein complex, the Sec62–Sec63 complex 7 – 9 , and substrates are moved through the channel by the luminal BiP ATPase 9 . How the Sec62–Sec63 complex activates the Sec61 channel for post-translational translocation is not known. Here we report the electron cryo-microscopy structure of the Sec complex from Saccharomyces cerevisiae , consisting of the Sec61 channel and the Sec62, Sec63, Sec71 and Sec72 proteins. Sec63 causes wide opening of the lateral gate of the Sec61 channel, priming it for the passage of low-hydrophobicity signal sequences into the lipid phase, without displacing the channel’s plug domain. Lateral channel opening is triggered by Sec63 interacting both with cytosolic loops in the C-terminal half of Sec61 and transmembrane segments in the N-terminal half of the Sec61 channel. The cytosolic Brl domain of Sec63 blocks ribosome binding to the channel and recruits Sec71 and Sec72, positioning them for the capture of polypeptides associated with cytosolic Hsp70 10 . Our structure shows how the Sec61 channel is activated for post-translational protein translocation. The cryo-EM structure of the post-translational protein translocation machinery of the endoplasmic reticulum membrane shows that Sec63 opens the channel, enabling insertion of low-hydrophobicity signal sequences into the lipid phase.

The physical basis for protein partitioning into lipid rafts remains an outstanding question in membrane biology that has previously been addressed only through indirect techniques involving differential solubilization by nonionic detergents. We have used giant plasma membrane vesicles, a plasma membrane model system that phase separates to include an ordered phase enriching for raft constituents, to measure the partitioning of the transmembrane linker for activation of T cells (LAT). LAT enrichment in the raft phase was dependent on palmitoylation at two juxtamembrane cysteines and could be enhanced by oligomerization. This palmitoylation requirement was also shown to regulate raft phase association for the majority of integral raft proteins. Because cysteine palmitoylation is the only lipid modification that has been shown to be reversibly regulated, our data suggest a role for palmitoylation as a dynamic raft targeting mechanism for transmembrane proteins.

The clinical utility of stimulator of interferon genes (STING) agonists has been limited due to poor tumour-targeting and unwanted toxicity following systemic delivery. Here we describe a robust tumour-targeted STING agonist, ZnCDA, formed by the encapsulation of bacterial-derived cyclic dimeric adenosine monophosphate (CDA) in nanoscale coordination polymers. Intravenously injected ZnCDA prolongs CDA circulation and efficiently targets tumours, mediating robust anti-tumour effects in a diverse set of preclinical cancer models at a single dose. Our findings reveal that ZnCDA enhances tumour accumulation by disrupting endothelial cells in the tumour vasculature. ZnCDA preferentially targets tumour-associated macrophages to modulate antigen processing and presentation and subsequent priming of an anti-tumour T-cell response. ZnCDA reinvigorates the anti-tumour activity of both radiotherapy and immune checkpoint inhibitors in immunologically ‘cold’ pancreatic and glioma tumour models, offering a promising combination strategy for the treatment of intractable human cancers. Activation of the stimulator of interferon genes (STING) can induce immunity in various cancer therapies, but delivery of STING agonists to tumours is challenging. Now a metal-based polymeric nanoparticle delivers STING agonists to tumours upon disruption of endothelial cells in tumour vasculature and targets tumour-associated macrophages, eliciting anti-tumour immune response in hard-to-treat cancer models.

Autophagosomes are double-membrane vesicles newly formed during autophagy to engulf a wide range of intracellular material and transport this autophagic cargo to lysosomes (or vacuoles in yeasts and plants) for subsequent degradation. Autophagosome biogenesis responds to a plethora of signals and involves unique and dynamic membrane processes. Autophagy is an important cellular mechanism allowing the cell to meet various demands, and its disruption compromises homeostasis and leads to various diseases, including metabolic disorders, neurodegeneration and cancer. Thus, not surprisingly, the elucidation of the molecular mechanisms governing autophagosome biogenesis has attracted considerable interest. Key molecules and organelles involved in autophagosome biogenesis, including autophagy-related (ATG) proteins and the endoplasmic reticulum, have been discovered, and their roles and relationships have been investigated intensely. However, several fundamental questions, such as what supplies membranes/lipids to build the autophagosome and how the membrane nucleates, expands, bends into a spherical shape and finally closes, have proven difficult to address. Nonetheless, owing to recent studies with new approaches and technologies, we have begun to unveil the mechanisms underlying these processes on a molecular level. We now know that autophagosome biogenesis is a highly complex process, in which multiple proteins and lipids from various membrane sources, supported by the formation of membrane contact sites, cooperate with biophysical phenomena, including membrane shaping and liquid–liquid phase separation, to ensure seamless segregation of the autophagic cargo. Together, these studies pave the way to obtaining a holistic view of autophagosome biogenesis.Autophagy involves engulfment of cellular components into double-membrane vesicles called autophagosomes. The biogenesis of autophagosomes requires the cooperation of multiple proteins and lipids from various membrane sources. Our understanding of the molecular mechanisms of the initiation, growth, bending and closure of autophagosomal membranes is expanding at a rapid pace.

Protein translocation across cellular membranes is an essential and nano-scale dynamic process. In the bacterial cytoplasmic membrane, the core proteins in this process are a membrane protein complex, SecYEG, corresponding to the eukaryotic Sec61 complex, and a cytoplasmic protein, SecA ATPase. Despite more than three decades of extensive research on Sec proteins, from genetic experiments to cutting-edge single-molecule analyses, no study has visually demonstrated protein translocation. Here, we visualize the translocation, via one unit of a SecYEG-SecA-embedded nanodisc, of an unfolded substrate protein by high-speed atomic force microscopy (HS-AFM). Additionally, the uniform unidirectional distribution of nanodiscs on a mica substrate enables the HS-AFM image data analysis, revealing dynamic structural changes in the polypeptide-crosslinking domain of SecA between wide-open and closed states depending on nucleotides. The nanodisc-AFM approach will allow us to execute detailed analyses of Sec proteins as well as visualize nano-scale events of other membrane proteins. Protein translocation across cellular membranes is an essential and nano-scale dynamic process. Here, the authors visualize protein translocation via the SecYEG-SecA complex in a nanodisc by high-speed atomic force microscopy (HS-AFM), shedding light on the structural changes of SecA in this process.

Direct coupling analysis (DCA) for protein folding has made very good progress, but it is not effective for proteins that lack many sequence homologs, even coupled with time-consuming conformation sampling with fragments. We show that we can accurately predict interresidue distance distribution of a protein by deep learning, even for proteins with ∼60 sequence homologs. Using only the geometric constraints given by the resulting distance matrix we may construct 3D models without involving extensive conformation sampling. Our method successfully folded 21 of the 37 CASP12 hard targets with a median family size of 58 effective sequence homologs within 4 h on a Linux computer of 20 central processing units. In contrast, DCA-predicted contacts cannot be used to fold any of these hard targets in the absence of extensive conformation sampling, and the best CASP12 group folded only 11 of them by integrating DCA-predicted contacts into fragment-based conformation sampling. Rigorous experimental validation in CASP13 shows that our distance-based folding server successfully folded 17 of 32 hard targets (with a median family size of 36 sequence homologs) and obtained 70% precision on the top L/5 long-range predicted contacts. The latest experimental validation in CAMEO shows that our server predicted correct folds for 2 membrane proteins while all of the other servers failed. These results demonstrate that it is now feasible to predict correct fold for many more proteins lack of similar structures in the Protein Data Bank even on a personal computer.

Owing to their ability to efficiently generate ATP required to sustain normal cell function, mitochondria are often considered the ‘powerhouses of the cell’. However, our understanding of the role of mitochondria in cell biology recently expanded when we recognized that they are key platforms for a plethora of cell signalling cascades. This functional versatility is tightly coupled to constant reshaping of the cellular mitochondrial network in a series of processes, collectively referred to as mitochondrial membrane dynamics and involving organelle fusion and fission (division) as well as ultrastructural remodelling of the membrane. Accordingly, mitochondrial dynamics influence and often orchestrate not only metabolism but also complex cell signalling events, such as those involved in regulating cell pluripotency, division, differentiation, senescence and death. Reciprocally, mitochondrial membrane dynamics are extensively regulated by post-translational modifications of its machinery and by the formation of membrane contact sites between mitochondria and other organelles, both of which have the capacity to integrate inputs from various pathways. Here, we discuss mitochondrial membrane dynamics and their regulation and describe how bioenergetics and cellular signalling are linked to these dynamic changes of mitochondrial morphology.Mitochondrial networks are dynamically remodelled via fusion, fission and ultrastructural changes to mitochondrial membranes. These mitochondrial membrane dynamics are tightly coupled to cell function, with morphological changes to mitochondria accompanying a multitude of processes as diverse as cell pluripotency, division, differentiation, senescence and death. Accordingly, disturbed dynamics of mitochondrial membranes are linked to severe human disorders.

Advancements in cryo-electron tomography (cryoET) allow the structure of macromolecules to be determined in situ, which is crucial for studying membrane protein structures and their interactions in the cellular environment. However, membranes are often highly curved and have a strong contrast in cryoET tomograms, which masks the signals from membrane proteins. These factors pose difficulties in observing and revealing the structures of membrane proteins in situ. Here, we report a membrane-flattening method and the corresponding software, MPicker, designed for the visualization, localization, and orientation determination of membrane proteins in cryoET tomograms. This method improves the visualization of proteins on and around membranes by generating a flattened tomogram that eliminates membrane curvature and reduces the spatial complexity of membrane protein analysis. In MPicker, we integrated approaches for automated particle picking and coarse alignment of membrane proteins for sub-tomogram averaging. MPicker was tested on tomograms of various cells to evaluate the method for visualizing, picking, and analyzing membrane proteins. Visualization and picking of membrane proteins in cryoET tomogram is often challenging. Here, the authors developed a software MPicker based on membrane flattening to simplify the visualization, picking, and orientation estimation of membrane proteins.