Protein Abundance Research Articles

Developmental maturation and regional heterogeneity but no sexual dimorphism of the murine CNS myelin proteome.

The molecules that constitute myelin are critical for the integrity of axon/myelin-units and thus speed and precision of impulse propagation. In the CNS, the protein composition of oligodendrocyte-derived myelin has evolutionarily diverged and differs from that in the PNS. Here, we hypothesized that the CNS myelin proteome also displays variations within the same species. We thus used quantitative mass spectrometry to compare myelin purified from mouse brains at three developmental timepoints, from brains of male and female mice, and from four CNS regions. We find that most structural myelin proteins are of approximately similar abundance across all tested conditions. However, the abundance of multiple other proteins differs markedly over time, implying that the myelin proteome matures between P18 and P75 and then remains relatively constant until at least 6 months of age. Myelin maturation involves a decrease of cytoskeleton-associated proteins involved in sheath growth and wrapping, along with an increase of all subunits of the septin filament that stabilizes mature myelin, and of multiple other proteins which potentially exert protective functions. Among the latter, quinoid dihydropteridine reductase (QDPR) emerges as a highly specific marker for mature oligodendrocytes and myelin. Conversely, female and male mice display essentially similar myelin proteomes. Across the four CNS regions analyzed, we note that spinal cord myelin exhibits a comparatively high abundance of HCN2-channels, required for particularly long sheaths. These findings show that CNS myelination involves developmental maturation of myelin protein composition, and regional differences, but absence of evidence for sexual dimorphism.

Proteomic Analysis of Thermus thermophilus Cells after Treatment with Antimicrobial Peptide

In recent years, the study of antimicrobial peptides (AMPs) has garnered considerable attention due to their potential in combating antibiotic-resistant pathogens. Mass spectrometry-based proteomics provides valuable information on microbial stress responses induced by AMPs. This work aims to unravel the proteomic alterations induced by the amyloidogenic antimicrobial peptide R23I, encompassing both inhibitory and non-inhibitory concentrations. This study investigates the effects of the R23I peptide on the protein abundance of Thermus thermophilus (T. thermophilus) at different concentrations (20, 50, and 100 μg/mL). We found 82 differentially expressed proteins, including 15 upregulated and 67 downregulated proteins. We also compared the protein identification results between the PEAKS and IdentiPy programs. Our proteomic analysis revealed distinct patterns of protein expression, suggesting compensatory mechanisms in response to the R23I peptide. Notably, the alterations predominantly affected membrane and cytoplasmic proteins that play a central role in critical cellular processes such as transcription, translation, and energy conversion. This study sheds light on the complex interactions between antimicrobial peptides and bacterial responses, offering insights into microbial adaptability and potential implications for antimicrobial strategies and the understanding of microbial physiology.

Defining splicing factor requirements for androgen receptor variant synthesis in advanced prostate cancer.

Resistance to androgen receptor (AR)-targeted therapies represent a major challenge in prostate cancer (PC). A key mechanism of treatment resistance in patients who progress to castrate-resistant PC (CRPC) is the generation of alternatively spliced androgen receptor variants (AR-Vs). Unlike full-length AR (FL-AR) isoforms, AR-Vs are constitutively active and refractory to current receptor-targeting agents hence drive tumour progression. Identifying regulators of AR-V synthesis may therefore provide new therapeutic opportunities in combination with conventional AR-targeting agents. Our understanding of AR transcript splicing, and the factors that control the synthesis of AR-Vs, remains limited. While candidate-based approaches have identified a small number of AR-V splicing regulators, an unbiased analysis of splicing factors important for AR-V generation is required to fill an important knowledge gap and furnish the field with novel and tractable targets for PC treatment. To that end, we conducted a bespoke CRISPR screen to profile splicing factor requirements for AR-V synthesis. MFAP1 and CWC22 were shown to be required for the generation of AR-V mRNA transcripts and their depletion resulted in reduced AR-V protein abundance and cell proliferation in several CRPC models. Global transcriptomic analysis of MFAP1-depleted cells revealed both AR-dependent and -independent transcriptional impact, including genes associated with DDR. As such, MFAP1 downregulation sensitised PC cells to ionising radiation suggesting therapeutically targeting AR-V splicing could provide novel cellular vulnerabilities which can be exploited in CRPC. Implications: We have utilised a CRISPR screening approach to identify key regulators of pathogenic AR splicing in prostate cancer.

Exploring multitarget potential of Piper nigrum fruit constituents for Alzheimer's disease: An AI-driven strategy

BackgroundAlzheimer's disease (AD) is a neurodegenerative disease that leads to development of cognition and memory dysfunctions. Currently, there is no known cure for AD, although limited medications are approved for the management of disease condition. Various plant-based leads give new hope for considering phytoconstituents as anti-AD drugs. The Piper nigrum L. fruit extract was reported to have anti-Alzheimer's activity. It creates an interest in the finding of active moieties that may be accountable for anti-AD activity. Hypothesis/PurposeIdentification of multitarget directed ligands isolated from Piper nigrum fruits through AI based studies. Study designThe phytochemical analysis of alkaloid fraction was carried out by LCMS, followed by the evaluation of constituents through in silico studies. MethodsThe fruits methanolic extract was prepared by cold maceration technique. The chemical profiling of the alkaloidal fraction was carried out using LCMS/MS analysis. The obtained compound's target hit genes were identified through network pharmacology studies using String, Metascape, and Cytoscape tools. Further, docking studies and MD simulations were carried out using AutoDock4 and Desmond-Maestro software. Then, electrochemical properties of hit compound P4 were determined using Gaussview6 software. ResultsFrom LCMS/MS analysis data, 29 compounds were considered based on compound intensity and accuracy (>95 %). Then, 41 common gene targets were identified from AD genes and compound-targeted genes. The 41 common genes in the PPI network suggested that AChE and BACE1 were the most abundant proteins. Further, docking studies revealed the hit compound P4 binding interaction and energies when compared to other 28 ligands. The molecular dynamics studies showed that P4-AChE and P4-BACE1 complexes were stable, and there were no RMSD and RMSF fluctuations were observed up to 100 ns. Further, PCA and MM-GBSA analysis data supported that complexes (P4-AChE and P4-BACE1) were stable. The DFT and surface properties indicated that compound P4 was ideal candidate for AD treatment and must be considered for further biological activity studies. ConclusionThe study identified compound P4 (dehydropipernonaline) from alkaloidal fraction of Piper nigrum fruits, suggesting it may be hit candidate for AD treatment.

Radical Protein Footprinting in Mammalian Whole Blood.

Hydroxyl Radical Protein Footprinting (HRPF) is a powerful method to probe the solvent-accessible surface area of proteins. It is mostly used to study the higher-order structure of proteins, as well as protein-protein and protein-carbohydrate interactions. Hydroxyl radicals are generated by the photolysis of hydrogen peroxide and these radicals modify the surface amino acids. Bottom-up proteomics is then applied and peptide oxidation is calculated and correlated with solvent accessibility. It is mainly performed in vitro ; however, it has been recently used in living systems, including live cells, live nematodes, and 3D cell cultures. Mammalian tissues are still out of reach as they absorb UV strongly, hindering radical generation. Here, we describe the first example of RPF in mammalian stabilized whole blood. Using photoactivation of persulfate with a commercially available FOX Photolysis System modified for sample handling and inline mixing, we demonstrate the first labeling of proteins in whole blood. We demonstrate that the RPF protocol does not alter the blood cell gross morphology outside of a moderate hypertonicity equivalent to sodium chloride exposure prior to labeling. We detail an improved quenching protocol to limit background labeling in persulfate RPF. We describe the labeling of the top ten most abundant proteins in the blood. We demonstrate the equivalence of ex vivo labeling in whole blood with labeling of the same structure in vitro using hemoglobin as a test system. Overall, these results now open the possibility of performing RPF-based structural proteomics in pre-clinical models and using readily available clinical samples.

A missense mutation in the barley Xan-h gene encoding the Mg-chelatase subunit I leads to a viable pale green line with reduced daily transpiration rate

Key messageThe barley mutant xan-h.chli-1 shows phenotypic features, such as reduced leaf chlorophyll content and daily transpiration rate, typical of wild barley accessions and landraces adapted to arid climatic conditions.The pale green trait, i.e. reduced chlorophyll content, has been shown to increase the efficiency of photosynthesis and biomass accumulation when photosynthetic microorganisms and tobacco plants are cultivated at high densities. Here, we assess the effects of reducing leaf chlorophyll content in barley by altering the chlorophyll biosynthesis pathway (CBP). To this end, we have isolated and characterised the pale green barley mutant xan-h.chli-1, which carries a missense mutation in the Xan-h gene for subunit I of Mg-chelatase (HvCHLI), the first enzyme in the CBP. Intriguingly, xan-h.chli-1 is the only known viable homozygous mutant at the Xan-h locus in barley. The Arg298Lys amino-acid substitution in the ATP-binding cleft causes a slight decrease in HvCHLI protein abundance and a marked reduction in Mg-chelatase activity. Under controlled growth conditions, mutant plants display reduced accumulation of antenna and photosystem core subunits, together with reduced photosystem II yield relative to wild-type under moderate illumination, and consistently higher than wild-type levels at high light intensities. Moreover, the reduced content of leaf chlorophyll is associated with a stable reduction in daily transpiration rate, and slight decreases in total biomass accumulation and water-use efficiency, reminiscent of phenotypic features of wild barley accessions and landraces that thrive under arid climatic conditions.

Leveraging tardigrade proteins Dsup and CAHS D for enhanced neural protection in neurosurgery and neuroscience.

Tardigrades are microscopic organisms known for their remarkable resilience to extreme environmental conditions, including radiation and desiccation. Two key proteins, Dsup (Damage suppressor protein) and CAHS D (Cytoplasmic Abundant Heat Soluble protein D), play crucial roles in this resilience. Dsup protects DNA from radiation-induced damage, while CAHS D stabilizes cellular structures during desiccation by interacting with, but not retaining, water. These unique mechanisms have significant potential applications in neurosurgery and neuroscience. Dsup could inspire the development of protective agents for neural tissues during radiation-based treatments, minimizing collateral damage and improving patient outcomes. Meanwhile, CAHS D's stabilization properties could lead to new neuroprotective strategies, safeguarding brain cells under stress. Together, these tardigrade proteins offer innovative solutions for enhancing neural protection, opening new avenues for treating neurological conditions and improving the safety and efficacy of neurosurgical procedures.

Endo-IP and Lyso-IP Toolkit for Endolysosomal Profiling of Human Induced Neurons.

Plasma membrane protein degradation and recycling is regulated by the endolysosomal system, wherein endosomes bud from the plasma membrane into the cytosol and mature into degradative lysosomes. As such, the endolysosomal system plays a critical role in determining the abundance of proteins on the cell surface, influencing cellular identity and function. Highly polarized cells, like neurons, rely on the endolysosomal system for axonal and dendritic specialization and synaptic compartmentalization. The importance of this system to neuronal function is reflected by the prevalence of risk variants in components of the system in several neurodegenerative diseases, ranging from Parkinson's to Alzheimer's disease. Nevertheless, our understanding of endocytic cargo and core endolysosomal machinery in neurons is limited, in part due to technical limitations. Here, we developed a toolkit for capturing EEA1-postive endosomes (Endo-IP) and TMEM192-positive lysosomes (Lyso-IP) in stem cell-derived induced neurons (iNeurons). We demonstrated its utility by revealing the endolysosomal protein landscapes for cortical-like iNeurons and stem cells. This allowed us to globally profile endocytic cargo, identifying hundreds of transmembrane proteins, including neurogenesis and synaptic proteins, as well as endocytic cargo with predicted SNX17 or SNX27 recognition motifs. By contrast, parallel lysosome profiling reveals a simpler protein repertoire, reflecting in part temporally controlled recycling or degradation for many endocytic targets. This system will facilitate mechanistic interrogation of endolysosomal components found as risk factors in neurodegenerative disease.

FBXO11 Mediates Ubiquitination of ZEB1 and Modulates Epithelial-to-Mesenchymal Transition in Lung Cancer Cells.

Epithelial-to-mesenchymal transition (EMT) affects the invasion and migration of cancer cells. Here, we show that FBXO11 recognizes and promotes ubiquitin-mediated degradation of ZEB1. There is a strong association between FBXO11 and ZEB1 in non-small cell lung cancer (NSLC) in a clinical database. FBXO11 interacts with ZEB1, a core inducer of EMT. FBXO11 leads to increased ubiquitination and proteasomal degradation of ZEB1. Depletion of endogenous FBXO11 causes ZEB1 protein accumulation and EMT in A549 and H1299 cells, while overexpression of FBXO11 reduces ZEB1 protein abundance and cellular invasiveness. Importantly, the depletion of ZEB1 suppresses the increased migration and invasion of A549 and H1299 cells promoted by the depletion of FBXO11. The same results are shown in xenograft tumors. High FBXO11 expression is associated with a favorable prognosis in NSLC. Collectively, our study demonstrates that FBXO11 modulates EMT by mediating the stability of ZEB1 in lung cancer cells.

A Bioconductor workflow for processing, evaluating, and interpreting expression proteomics data

Background Expression proteomics involves the global evaluation of protein abundances within a system. In turn, differential expression analysis can be used to investigate changes in protein abundance upon perturbation to such a system. Methods Here, we provide a workflow for the processing, analysis and interpretation of quantitative mass spectrometry-based expression proteomics data. This workflow utilises open-source R software packages from the Bioconductor project and guides users end-to-end and step-by-step through every stage of the analyses. As a use-case we generated expression proteomics data from HEK293 cells with and without a treatment. Of note, the experiment included cellular proteins labelled using tandem mass tag (TMT) technology and secreted proteins quantified using label-free quantitation (LFQ). Results The workflow explains the software infrastructure before focusing on data import, pre-processing and quality control. This is done individually for TMT and LFQ datasets. The application of statistical differential expression analysis is demonstrated, followed by interpretation via gene ontology enrichment analysis. Conclusions A comprehensive workflow for the processing, analysis and interpretation of expression proteomics is presented. The workflow is a valuable resource for the proteomics community and specifically beginners who are at least familiar with R who wish to understand and make data-driven decisions with regards to their analyses.

Peptide ligands for the affinity purification of adenovirus from HEK293 and vero cell lysates

Adenovirus (AdVs) is the viral vector of choice in vaccines and oncolytic applications owing to its high transduction activity and inherent immunogenicity. For decades, AdV isolation has relied on ultracentrifugation and ion-exchange chromatography, which are not suitable to large-scale production and struggle to deliver sufficient purity. Immunoaffinity chromatography resins of recent introduction feature high binding capacity and selectivity, but mandate harsh elution conditions (pH 3.0), afford low yield (< 20%), and provide limited reusability. Seeking a more efficient and affordable alternative, this study introduces the first peptide affinity ligands for AdV purification. The peptides were identified via combinatorial selection and in silico design to target hexons, the most abundant proteins in the adenoviral capsid. Selected peptide ligands AEFFIWNA and TNDGPDYSSPLTGSG were conjugated on chromatographic resins and utilized to purify AdV serotype 5 from HEK293 and Vero cell lysates. The peptide-functionalized resins feature high binding capacity (> 1010 active virions per mL at the residence time of 2 min), provide high yield (> 50%) and up to 100-fold reduction of host cell proteins and DNA. Notably, the peptide ligands enable gentle elution conditions (pH 8) that prevent the “shedding” of penton and fiber proteins, thus affording intact adenovirus particles with high cell-transduction activity. The study of the peptide ligands by surface plasmon resonance and molecular docking and dynamics simulations confirmed the selective targeting of hexon proteins and elucidated the molecular-level mechanisms underlying binding and release. Collectively, these results demonstrate the strong promise of peptide ligands presented herein for the affinity purification of AdVs from cell lysates.

A Bacterial Platform for Studying Ubiquitination Cascades Anchored by SCF-Type E3 Ubiquitin Ligases.

Ubiquitination is one of the most important post-translational modifications in eukaryotes. The ubiquitination cascade includes ubiquitin-activating enzymes (E1), ubiquitin-conjugating enzymes (E2), and ubiquitin ligases (E3). The E3 ligases, responsible for substrate recognition, are the most abundant and varied proteins in the cascade and the most studied. SKP1-CUL1-F-Box (SCF)-type E3 ubiquitin ligases are multi-subunit RING (Really Interesting New Gene) E3 ubiquitin ligases, composed of CUL1 (Cullin 1), RBX1 (RING BOX 1), SKP1 (S-phase Kinase-associated Protein 1), and F-box proteins. In vitro ubiquitination assays, used for studying the specific recognition of substrate proteins by E3 ubiquitin ligases, require the purification of all components involved in the cascade, and for assays with SCF-type E3 ligases, additional proteins (several SCF complex subunits). Here, the Duet expression system was used to co-express E1, E2, ubiquitin, ubiquitylation target (substrate), and the four subunits of a SCF-type E3 ligase in E. coli. When these proteins co-exist in bacterial cells, ubiquitination occurs and can be detected by Western Blot. The effectiveness of this bacterial system for detecting ubiquitination cascade activity was demonstrated by replicating both AtSCFTIR1-mediated and human SCFFBXO28-mediated ubiquitylation in bacteria. This system provides a basic but adaptable platform for the study of SCF-type E3 ubiquitin ligases.

Benchmarking algorithms for single-cell multi-omics prediction and integration.

The development of single-cell multi-omics technology has greatly enhanced our understanding of biology, and in parallel, numerous algorithms have been proposed to predict the protein abundance and/or chromatin accessibility of cells from single-cell transcriptomic information and to integrate various types of single-cell multi-omics data. However, few studies have systematically compared and evaluated the performance of these algorithms. Here, we present a benchmark study of 14 protein abundance/chromatin accessibility prediction algorithms and 18 single-cell multi-omics integration algorithms using 47 single-cell multi-omics datasets. Our benchmark study showed overall totalVI and scArches outperformed the other algorithms for predicting protein abundance, and LS_Lab was the top-performing algorithm for the prediction of chromatin accessibility in most cases. Seurat, MOJITOO and scAI emerge as leading algorithms for vertical integration, whereas totalVI and UINMF excel beyond their counterparts in both horizontal and mosaic integration scenarios. Additionally, we provide a pipeline to assist researchers in selecting the optimal multi-omics prediction and integration algorithm.

Protein Extraction Methods Suitable for Muscle Tissue Proteomic Analysis.

Muscle tissue is one of the most dynamic and plastic tissues of the mammalian body and covers different roles, such as force generation and metabolic control. Muscular proteomics provides an important opportunity to reveal the molecular mechanisms behind muscle pathophysiology. To ensure successful proteomic analysis, it is necessary to have an efficient and reproducible protein extraction method. This study aimed to evaluate the efficacy of two different extraction protocols of muscle samples for two-dimensional gel electrophoresis. In particular, mouse muscle proteins were extracted by an SDS-based buffer (Method A) and by a UREA/CHAPS/DTE/TRIS solution (Method B). The efficacies of the methods were assessed by performing an image analysis of the 2DE gels and by statistical and multivariate analyses. The 2DE gels in both preparations showed good resolution and good spot overlapping. Methods A and B produced 2DE gels with different means of total spots, higher for B. Image analysis showed different patterns of protein abundance between the protocols. The results showed that the two methods extract and solubilize proteins with different chemical-physical characteristics and different cellular localizations. These results attest the efficacy and reproducibility of both protein extraction methods, which can be parallelly applied for comprehensive proteomic profiling of muscle tissue.

Membrane protein provision controls prothylakoid biogenesis in tobacco etioplasts.

The cytochrome b559 heterodimer is a conserved component of photosystem II whose physiological role in photosynthetic electron transfer is enigmatic. A particularly puzzling aspect of cytochrome b559 has been its presence in etiolated seedlings, where photosystem II is absent. Whether or not the cytochrome has a specific function in etioplasts is unknown. Here, we have attempted to address the function of cytochrome b559 by generating transplastomic tobacco (Nicotiana tabacum) plants that overexpress psbE and psbF, the plastid genes encoding the two cytochrome b559 apoproteins. We show that strong overaccumulation of the PsbE apoprotein can be achieved in etioplasts by suitable manipulations of the promoter and the translation signals, while the cytochrome b559 level is only moderately elevated. The surplus PsbE protein causes striking ultrastructural alterations in etioplasts; most notably, it causes a condensed prolamellar body and a massive proliferation of prothylakoids, with multiple membrane layers coiled into spiral-like structures. Analysis of plastid lipids revealed that increased PsbE biosynthesis strongly stimulated plastid lipid biosynthesis, suggesting that membrane protein abundance controls prothylakoid membrane biogenesis. Our data provide evidence for a structural role of PsbE in prolamellar body formation and prothylakoid biogenesis, and indicate that thylakoid membrane protein abundance regulates lipid biosynthesis in etioplasts.

Deep mutational scanning of CYP2C19 in human cells reveals a substrate specificity-abundance tradeoff.

The Cytochrome P450s (CYPs) enzyme family metabolizes ∼80% of small molecule drugs. Variants in CYPs can substantially alter drug metabolism, leading to improper dosing and severe adverse drug reactions. Due to low sequence conservation, predicting variant effects across CYPs is challenging. Even closely related CYPs like CYP2C9 and CYP2C19, which share 92% amino acid sequence identity, display distinct phenotypic properties. Using Variant Abundance by Massively Parallel sequencing (VAMP-seq), we measured the steady-state protein abundance of 7,660 single amino acid variants in CYP2C19 expressed in cultured human cells. Our findings confirmed critical positions and structural features essential for CYP function and revealed how variants at conserved positions influence abundance. We jointly analyzed 4,670 variants whose abundance was measured in both CYP2C19 and CYP2C9, finding that the homologs have different variant abundances in substrate recognition sites within the hydrophobic core. We also measured the abundance of all single and some multiple WT amino acid exchanges between CYP2C19 and CYP2C9. While most exchanges had no effect, substitutions in substrate recognition site 4 (SRS4) reduced abundance in CYP2C19. Double and triple mutants showed distinct interactions, highlighting a region that points to differing thermodynamic properties between the two homologs. These positions are known contributors to substrate specificity, suggesting an evolutionary tradeoff between stability and enzymatic function. Finally, we analyzed 368 previously unannotated human variants, finding that 43% had decreased abundance. By comparing variant effects between these homologs, we uncovered regions underlying their functional differences, advancing our understanding of this versatile family of enzymes.

Comparative analysis of the transcriptomes from regenerated plants and root explants of endangered Oplopanax elatus.

Oplopanax elatus is a plant of therapeutic significance in oriental medicine; however, its mass cultivation is limited owing to the difficulties in propagating it from seeds. In this study, we investigated the transcriptome profiles and transcriptional regulatory factors expressed during plantlet regeneration from root tissues of the endangered O. elatus. The RNA-seq results for the control and regenerated plants cultured in liquid medium for 8weeks showed that the clean length of the control group was 11,901,667,912 and that of the 8-week sample was 10,115,155,171, indicating a clean value of 97% for both samples. The number of mapped paired-end reads was 63,922,480 for the control group and 54,146,902 for the 8-week sample. The number of genes for which at least one clean data point was mapped was 43,177 in the control group and 42,970 in the 8-week sample. The results of the differentially expressed gene analysis indicate that the number of upregulated genes in the 8-week sample was 158, and the number of downregulated genes was 424. Gene Ontology (GO) analysis of the upregulated genes revealed that GO terms were classified into 14 categories, and genes expressed in the biological process category occurred most frequently. GO terms of the downregulated genes were evenly distributed into two categories: biological process and molecular function. From the upregulated genes, eight reference genes with significant differences in expression were selected and analyzed using real-time PCR. The Oe38836 gene (late embryogenesis abundant protein M17-like isoform X1) showed the highest expression rate that was more than tenfold that of the control. Oe40610 (auxin-responsive protein SAUR21-like) and Oe07114 (glucose-1-phosphate adenyl transferase-like protein) genes showed expression levels that were increased eightfold relative to the control. The RNA sequencing (RNA-seq) results from the plants regenerated through liquid culture of O. elatus root tissue were confirmed using real-time PCR, indicating their reliability.

A comprehensive physicochemical characterization and proposed portfolios of applications for the fruits and seeds of 11 accessions of Jatropha curcas L.

The seed oil and extraction cake from 11 accessions of Jatropha curcas from Mexico, El Salvador, and India were comprehensively characterized with the objective of selecting parentals based on desirable traits for a hybridization program. Kernels contained up to 65 % oil and up to 30 % protein. The most abundant protein types were glutelins (48 %) and globulins (24 %), with arginine (0.096 mg/g) and leucine (0.070 mg/g) being the major amino acids. Glucose (0.09 g/g) and arabinose (0.03 g/g) were the most abundant carbohydrates. The oil was primarily composed of oleic (41 %) and linoleic (37 %) acids. The physicochemical properties of the oil included an acid value of 0.28–1.15 %, saponification value of 155–208 mg KOH/g, iodine value of 0.97–1.08 g I2/g, and viscosity of 21.9–40.9 cSt at 40 °C. Six accessions were selected as parental candidates based on their potential as feedstock for a diverse portfolio of products. The most common applicability of oils were lubricants, biopolymers, biofertilizer, and liquid biofuels production. One Mexican accession had a phorbol-ester concentration much lower than the toxicity threshold (0.06 mg/g) and a high protein content, making it attractive for the animal feed industry and for protein extraction. The selected accessions are preserved in a local germplasm bank and will be used for continued genetic improvement through hybridization, aiming to preserve the identified traits while increasing fruit productivity.

Drug Binding to Partially Unfolded Serum Albumin: Insights into Nonsteroidal Anti-Inflammatory Drug Naproxen-BSA Interactions from Spectroscopic and MD Simulation Studies.

Understanding the binding details of a small-molecule drug to a protein in its partially unfolded state is important for drug delivery as it provides insight into the overall drug-binding ability of the protein, even when the majority of binding pockets in its unfolded state are impaired. The interaction of partially unfolded proteins with drugs remains poorly understood due to a lack of structural information on proteins in their partially unfolded states. Here, we studied the interaction between serum albumin (bovine serum albumin (BSA) as a model system), an abundant protein in blood serum that is an effective carrier for numerous known drugs, and a nonsteroidal anti-inflammatory drug (NSAID) naproxen (NPS) using various spectroscopic and computational methods. Molecular dynamics simulations starting from the drug-unbound state and performed at physiological and higher temperatures revealed novel hydrophobic sites on the BSA surface. We analyzed the BSA-NPS interaction in the presence and absence of the cationic organized assembly CTAB and two oligosaccharides (β-CD and 2-HP-β-CD) at different excitation wavelengths. The solvation dynamics of BSA under NPS-bound conditions became ∼4.6% faster. Oligosaccharides were found to increase the solubility of NPS by providing a hydrophobic environment for the formation of inclusion complexes through host-guest interactions. These findings provide a comprehensive overview and uncover the binding model and mechanism of interaction of NPS with BSA, revealing hydrophobic and electrostatic interactions and hydrogen bonds required for BSA to bind NPS at these noncanonical sites. The molecular-level understanding of the binding mechanism of commonly used NSAIDs like NPS with partially unfolded BSA will be useful in designing pharmaceutically important molecules with efficient loading and delivery properties.

Increasing plant species diversity benefits soil protein accumulation in a subtropical forest

Abstract Protein, derived from plant and microbial residues, constitutes a significant portion of soil nitrogen or organic carbon pool and plays a crucial role in determining soil nitrogen and carbon sequestration. Though diversifying plant species has been regarded as a promising strategy for promoting soil nitrogen or organic carbon accumulation during vegetation restoration or afforestation, how increasing plant species diversity (PSD) would influence soil protein pool remains unknown. We selected 45 plots covering a natural gradient of PSD, which was reflected by the Shannon index and varied from 0.15 to 3.57, in a subtropical karst forest. The major objective was to investigate the impact of increasing PSD on soil protein abundance, with soil protein depolymerization rate and multiple biotic and abiotic variables being measured to explore the underlying mechanism. The relative abundance of soil protein, that is proportion in soil organic matter varied between 24.1 and 34.0% with an average of 29.2 ± 2.3% across the 45 plots. Soil protein abundance increased on average by 1.56% with each unit of PSD increase. Nevertheless, soil protease activity, protein depolymerization rate and microbial amino acid uptake rate all significantly (p &lt; 0.05) decreased as PSD increased. The mechanism underlying the increase of soil protein abundance in response to higher PSD included three aspects, that is stimulating microbial biomass and subsequent microbial residue input to the soil, promoting mineral protection of soil protein via elevating levels of soil exchangeable calcium and magnesium, and decreasing soil protease activity and protein depolymerization due to aggravated soil microbial phosphorus limitation. Synthesis and application: Our study suggests that increasing PSD is an efficient way to promote soil protein accumulation. Given that protein is a major component of soil nitrogen or organic carbon pool, diversifying plant species during vegetation restoration or afforestation would hence benefit soil nitrogen and organic carbon sequestration.