Processing Machinery Research Articles

Candida albicans exhibits heterogeneous and adaptive cytoprotective responses to antifungal compounds.

Candida albicans, an opportunistic human pathogen, poses a significant threat to human health and is associated with significant socio-economic burden. Current antifungal treatments fail, at least in part, because C. albicans can initiate a strong drug tolerance response that allows some cells to grow at drug concentrations above their minimal inhibitory concentration. To better characterize this cytoprotective tolerance program at the molecular single-cell level, we used a nanoliter droplet-based transcriptomics platform to profile thousands of individual fungal cells and establish their subpopulation characteristics in the absence and presence of antifungal drugs. Profiles of untreated cells exhibit heterogeneous expression that correlates with cell cycle stage with distinct metabolic and stress responses. At 2 days post-fluconazole exposure (a time when tolerance is measurable), surviving cells bifurcate into two major subpopulations: one characterized by the upregulation of genes encoding ribosomal proteins, rRNA processing machinery, and mitochondrial cellular respiration capacity, termed the Ribo-dominant (Rd) state; and the other enriched for genes encoding stress responses and related processes, termed the Stress-dominant (Sd) state. This bifurcation persists at 3 and 6 days post-treatment. We provide evidence that the ribosome assembly stress response (RASTR) is activated in these subpopulations and may facilitate cell survival.

Integration of bioinformatics and machine learning strategies identifies APM-related gene signatures to predict clinical outcomes and therapeutic responses for breast cancer patients

BackgroundTumor antigenicity and efficiency of antigen presentation jointly influence tumor immunogenicity, which largely determines the effectiveness of immune checkpoint blockade (ICB). However, the role of altered antigen processing and presentation machinery (APM) in breast cancer (BRCA) has not been fully elucidated. MethodsA series of bioinformatic analyses and machine learning strategies were performed to construct APM-related gene signatures to guide personalized treatment for BRCA patients. A single-sample gene set enrichment analysis (ssGSEA) algorithm and weighted gene co-expression network analysis (WGCNA) were combined to screen for BRCA-specific APM-related genes. The non-negative matrix factorization (NMF) algorithm was used to divide the cohort into different clusters and the fgsea algorithm was applied to investigate the altered signaling pathways. Random survival forest (RSF) and the least absolute shrinkage and selection operator (Lasso) Cox regression analysis were combined to construct an APM-related risk score (APMrs) signature to predict overall survival. Furthermore, a nomogram and decision tree were generated to improve predictive accuracy and risk stratification for individual patients. Based on Tumor Immune Dysfunction and Exclusion (TIDE) method, random forest (RF) and Lasso logistic regression model were combined to establish an APM-related immunotherapeutic response score (APMis). Finally, immune infiltration, immunomodulators, mutational patterns, and potentially applicable drugs were comprehensively analyzed in different APM-related risk groups. IHC staining was used to assess the expression of APM-related genes in clinical samples. ResultsIn this study, APMrs and APMis showed favorable performances in risk stratification and therapeutic prediction for BRCA patients. APMrs exhibited more powerful prognostic capacity and accurate survival prediction compared to conventional clinicopathological features. APMrs was closely associated with distinct mutational patterns, immune cell infiltration and immunomodulators expression. Furthermore, the two APM-related gene signatures were independently validated in external cohorts with prognosis or immunotherapeutic responses. Potential applicable drugs and targets were mined in the APMrs-high group. APM-related genes were further validated in our in-house samples. ConclusionThe APM-related gene signatures established in our study could improve the personalized assessment of survival risk and guide ICB decision-making for BRCA patients.

Growth and trend in area, production and productivity of vegetables in Haryana vis-à-vis India

Vegetable farming plays an important role in the country's agricultural economy. Between the actual harvested yield and the potential yield of vegetable crops in Haryana state, there is a notable discrepancy. As a result, potential has yet to be fully realized. Numerous other industries, like processing, seeds industry, fertilizer, pesticides and farm machinery industry are supported by vegetables. The present study was carried out to analyze the trend in area, production and productivity of overall vegetables in Haryana and India. Area, production and productivity of overall vegetables shows a significant increase and positive trend from 1990–91 to 2020–21 with a compound annual growth rate (CAGR) of 7.00, 8.13 and 1.06% in Haryana and 3.18, 4.65 and 1.43% in India. Potato, onion, tomato, radish, carrot, cauliflower and bottle gourd are the major vegetables grown, amongst which highest production, viz. 0.81 and 54.75 million tonnes was recorded under potato during 2020–21 in Haryana and India, respectively.

The role of the antigen processing machinery in the regulation and trafficking of intracellular -Toll-like receptor molecules.

Intracellular Toll-like receptors (TLRs) are key components of the innate immune system. Their expression in antigen-presenting cells (APCs), and in particular dendritic cells (DCs), makes them critical in the induction of the adaptive immune response. In DCs, they interact with the chaperone UNC93B1 that mediates their trafficking from the endoplasmic reticulum (ER) to endosomes where they are cleaved by proteases and activated. All these different steps are also shared by major histocompatibility complex class-II (MHCII) molecules. Here, we will discuss the tight relationship intracellular TLRs have with the antigen processing machinery in APCs for their trafficking and activation.

Post-transcriptional gene silencing in a dynamic RNP world.

MicroRNA (miRNA)-guided gene silencing is a key regulatory process in various organisms and linked to many human diseases. MiRNAs are processed from precursor molecules and associate with Argonaute proteins to repress the expression of complementary target mRNAs. Excellent work by numerous labs has contributed to a detailed understanding of the mechanisms of miRNA function. However, miRNA effects have mostly been analyzed and viewed as isolated events and their natural environment as part of complex RNA-protein particles (RNPs) is often neglected. RNA binding proteins (RBPs) regulate key enzymes of the miRNA processing machinery and furthermore RBPs or readers of RNA modifications may modulate miRNA activity on mRNAs. Such proteins may function similarly to miRNAs and add their own contributions to the overall expression level of a particular gene. Therefore, post-transcriptional gene regulation might be more the sum of individual regulatory events and should be viewed as part of a dynamic and complex RNP world.

Identification of molecular signatures and pathways involved in Rett syndrome using a multi-omics approach

BackgroundRett syndrome (RTT) is a neurodevelopmental disorder mainly caused by mutations in the methyl-CpG-binding protein 2 gene (MECP2). MeCP2 is a multi-functional protein involved in many cellular processes, but the mechanisms by which its dysfunction causes disease are not fully understood. The duplication of the MECP2 gene causes a distinct disorder called MECP2 duplication syndrome (MDS), highlighting the importance of tightly regulating its dosage for proper cellular function. Additionally, some patients with mutations in genes other than MECP2 exhibit phenotypic similarities with RTT, indicating that these genes may also play a role in similar cellular functions. The purpose of this study was to characterise the molecular alterations in patients with RTT in order to identify potential biomarkers or therapeutic targets for this disorder.MethodsWe used a combination of transcriptomics (RNAseq) and proteomics (TMT mass spectrometry) to characterise the expression patterns in fibroblast cell lines from 22 patients with RTT and detected mutation in MECP2, 15 patients with MDS, 12 patients with RTT-like phenotypes and 13 healthy controls. Transcriptomics and proteomics data were used to identify differentially expressed genes at both RNA and protein levels, which were further inspected via enrichment and upstream regulator analyses and compared to find shared features in patients with RTT.ResultsWe identified molecular alterations in cellular functions and pathways that may contribute to the disease phenotype in patients with RTT, such as deregulated cytoskeletal components, vesicular transport elements, ribosomal subunits and mRNA processing machinery. We also compared RTT expression profiles with those of MDS seeking changes in opposite directions that could lead to the identification of MeCP2 direct targets. Some of the deregulated transcripts and proteins were consistently affected in patients with RTT-like phenotypes, revealing potentially relevant molecular processes in patients with overlapping traits and different genetic aetiology.ConclusionsThe integration of data in a multi-omics analysis has helped to interpret the molecular consequences of MECP2 dysfunction, contributing to the characterisation of the molecular landscape in patients with RTT. The comparison with MDS provides knowledge of MeCP2 direct targets, whilst the correlation with RTT-like phenotypes highlights processes potentially contributing to the pathomechanism leading these disorders.

On a path toward a broad-spectrum anti-viral: inhibition of HIV-1 and coronavirus replication by SR kinase inhibitor harmine.

This study highlights the crucial role RNA processing plays in regulating viral gene expression and replication. By targeting SR kinases, we identified harmine as a potent inhibitor of HIV-1 as well as coronavirus (HCoV-229E and multiple SARS-CoV-2 variants) replication. Harmine inhibits HIV-1 protein expression and reduces accumulation of HIV-1 RNAs in both cell lines and primary CD4+ T cells. Harmine also suppresses coronavirus replication post-viral entry by preferentially reducing coronavirus sub-genomic RNA accumulation. By focusing on host factors rather than viral targets, our study offers a novel approach to combating viral infections that is effective against a range of unrelated viruses. Moreover, at doses required to inhibit virus replication, harmine had limited toxicity and minimal effect on the host transcriptome. These findings support the viability of targeting host cellular processes as a means of developing broad-spectrum anti-virals.

Clp1, an overexpressed subunit of CF IA and insights into its molecular role using biophysical approaches

In eukaryotes, pre-messenger RNA (pre-mRNA) 3′-end processing is vital for gene expression and mRNA biogenesis; any awry in this pre-mRNA processing has detrimental effects and causes various diseases in humans. Pre-mRNA processing is coordinated via complex multi-protein machinery involving over 20 protein factors in Saccharomyces cerevisiae. Endonucleolytic cleavage at the pre-mRNA 3′-end followed by poly(A) tail addition at the newly generated 3′-end requires CF IA, CPF, CF IB and other sequence elements. Among these essential proteins, Clp1 of the CF IA sub-unit is indispensable for the effective functioning of 3′-end processing machinery. Clp1, a conserved protein, is proposed to interlink 3′-end processing, transcriptional elongation and transcription termination. However, experimental evidence defining the precise roles played by Clp1, its interacting partners from other subunits and information about its exact mechanism of action during pre-mRNA processing is lacking. The current study details on the Clp1 N-terminal domain's (1–100 amino acids referred to as Clp11–100) successful cloning, expression and characterization using numerous biophysical techniques like circular dichroism and mass spectrometry etc. This information would open new frontiers to decipher the structure and molecular role of Clp1 during pre-mRNA maturation.

Proteogenomic insights suggest druggable pathways in endometrial carcinoma

We characterized a prospective endometrial carcinoma (EC) cohort containing 138 tumors and 20 enriched normal tissues using 10 different omics platforms. Targeted quantitation of two peptides can predict antigen processing and presentation machinery activity, and may inform patient selection for immunotherapy. Association analysis between MYC activity and metformin treatment in both patients and cell lines suggests a potential role for metformin treatment in non-diabetic patients with elevated MYC activity. PIK3R1 in-frame indels are associated with elevated AKT phosphorylation and increased sensitivity to AKT inhibitors. CTNNB1 hotspot mutations are concentrated near phosphorylation sites mediating pS45-induced degradation of β-catenin, which may render Wnt-FZD antagonists ineffective. Deep learning accurately predicts EC subtypes and mutations from histopathology images, which may be useful for rapid diagnosis. Overall, this study identified molecular and imaging markers that can be further investigated to guide patient stratification for more precise treatment of EC.

Structural Framework for Analysis of CD4+ T-Cell Epitope Dominance in Viral Fusion Proteins.

Antigen conformation shapes CD4+ T-cell specificity through mechanisms of antigen processing, and the consequences for immunity may rival those from conformational effects on antibody specificity. CD4+ T cells initiate and control immunity to pathogens and cancer and are at least partly responsible for immunopathology associated with infection, autoimmunity, and allergy. The primary trigger for CD4+ T-cell maturation is the presentation of an epitope peptide in the MHC class II antigen-presenting protein (MHCII), most commonly on an activated dendritic cell, and then the T-cell responses are recalled by subsequent presentations of the epitope peptide by the same or other antigen-presenting cells. Peptide presentation depends on the proteolytic fragmentation of the antigen in an endosomal/lysosomal compartment and concomitant loading of the fragments into the MHCII, a multistep mechanism called antigen processing and presentation. Although the role of peptide affinity for MHCII has been well studied, the role of proteolytic fragmentation has received less attention. In this Perspective, we will briefly summarize evidence that antigen resistance to unfolding and proteolytic fragmentation shapes the specificity of the CD4+ T-cell response to selected viral envelope proteins, identify several remarkable examples in which the immunodominant CD4+ epitopes most likely depend on the interaction of processing machinery with antigen conformation, and outline how knowledge of antigen conformation can inform future efforts to design vaccines.

MiRNAs that target amyloid precursor protein processing machinery in extracellular vesicles and particles derived from oral squamous cells carcinoma.

Considering that microRNAs (miRNAs), extracellular vesicles and particles (EVPs) and the amyloid precursor protein (APP) processing have been shown to be altered in oral squamous cells carcinoma (OSCC), it is possible that miRNAs that target APP processing pathways in EVPs are impacted in tumor cells. Our aim was to evaluate miRNAs that target APP itself or disintegrin and metalloproteinase domain 10 (ADAM10), which generate a trophic compound, sAPPα, in EVPs derived from OSCC cell lines, an aggressive and non-invasive, compared to normal keratinocytes. We used two OSCC cell lines, an aggressive human oral squamous cell carcinoma cell line (SCC09) and a less aggressive cell line (CAL27) compared with a keratinocyte lineage (HaCaT). Cells were maintained in cell media, from which we isolated EVPs. EVPs were evaluated regarding their size and concentration using Nanotracking Analysis. We measured the levels of miRNAs which had as potential downstream target APP or ADAM10, specifically miR-20a-5p, miR-103a-3p, miR-424-5p, miR-92b-3p, miR-31-5p, and miR-93-5. There were no differences on size distributions and concentration of isolated EVPs. OSCC cell lines-derived EVPs miR-20a-5p, miR-92b-3p, and miR-93-5p were upregulated in comparison to HaCaT-derived EVPs; while miR-31-5p was reduced in EVPs obtained from CAL27 cells. Our results indicate changes in miRNAs that target APP machinery processing in EVPs derived from OSCC cell lines of different aggressiveness, which may be involved with abnormal miRNA expression in OSCC tissue and/or releasing tumor suppressor miRNA.

Vv-circSIZ1 mediated by pre-mRNA processing machinery contributes to salt tolerance.

CircRNAs exist widely in plants, but the regulatory mechanisms for the biogenesis and function of plant circRNAs remain largely unknown. Using extensive mutagenesis of expression plasmids and genetic transformation methods, we analyzed the biogenesis and anti-salt functions of a new grape circRNA Vv-circSIZ1. We identified Vv-circSIZ1 that is mainly expressed in the cytoplasm of xylem. CircSIZ1 is species-specific, and genomic circSIZ1-forming region of seven tested species could be backspliced in Nicotiana benthamiana, but not in Arabidopsis. The retention length of Vv-circSIZ1 flanking introns was significantly positively correlated with its generation efficiency. The precise splicing of Vv-circSIZ1 does not depend on its mature exon sequence or internal intron sequences, but on the AG/GT splicing signal sites and branch site of the flanking introns. The spliceosome activity was inversely proportional to the expression level of Vv-circSIZ1. Furthermore, RNA-binding proteins can regulate the expression of Vv-circSIZ1. The overexpression of Vv-circSIZ1 improved salt tolerance of grape and N. benthamiana. Additionally, Vv-circSIZ1 could relieve the repressive effect of VvmiR3631 on its target VvVHAc1. Vv-circSIZ1 also promoted transcription of its parental gene. Overall, these results broaden our understanding of circRNAs in plants.

PPAR-gamma agonist pioglitazone recovers mitochondrial quality control in fibroblasts from PITRM1-deficient patients.

Introduction: Biallelic variants in PITRM1 are associated with a slowly progressive syndrome characterized by intellectual disability, spinocerebellar ataxia, cognitive decline and psychosis. The pitrilysin metallopeptidase 1 (PITRM1) is a mitochondrial matrix enzyme, which digests diverse oligopeptides, including the mitochondrial targeting sequences (MTS) that are cleaved from proteins imported across the inner mitochondrial membrane by the mitochondrial processing peptidase (MPP). Mitochondrial peptidases also play a role in the maturation of Frataxin, the protein affected in Friedreich's ataxia. Recent studies in yeast indicated that the mitochondrial matrix protease Ste23, which is a homologue of the human insulin-degrading enzyme (IDE), cooperates with Cym1 (homologue of PITRM1) to ensure the proper functioning of the preprotein processing machinery. In humans, IDE could be upregulated by Peroxisome Proliferator-Activated Receptor Gamma (PPARG) agonists. Methods: We investigated preprotein processing, mitochondrial membrane potential and MTS degradation in control and patients' fibroblasts, and we evaluated the pharmacological effect of the PPARG agonist Pioglitazone on mitochondrial proteostasis. Results: We discovered that PITRM1 dysfunction results in the accumulation of MTS, leading to the disruption and dissipation of the mitochondrial membrane potential. This triggers a feedback inhibition of MPP activity, consequently impairing the processing and maturation of Frataxin. Furthermore, we found that the pharmacological stimulation of PPARG by Pioglitazone upregulates IDE and also PITRM1 protein levels restoring the presequence processing machinery and improving Frataxin maturation and mitochondrial function. Discussion: Our findings provide mechanistic insights and suggest a potential pharmacological strategy for this rare neurodegenerative mitochondrial disease.

Effects of thermoforming operation and tooling on the thermoformability of plastic‐coated fibre‐based materials

AbstractAdvances in the three‐dimensional (3D) forming of fibre‐based materials require the formulation of more formable materials and the development of process lines, machinery, and tools. Using a thermoforming process to convert fibre‐based materials into 3D forms is an emerging area of research which requires further investigation into the practicality of the process line and tooling in forming such materials. Accordingly, this study evaluated the impact of the thermoforming process operation and tooling on the thermoformability of plastic‐coated paperboards. The main objective was to provide design recommendations for the future development of thermoforming lines, followed by guidelines for tooling design to improve the performance of materials utilising the currently available machinery. This study examined the thermoforming behaviour of two different plastic‐coated paperboards in vacuum and pressure thermoforming by investigating their maximum acquired depth, shape accuracy, and damage mechanisms. The research findings, based on the depth and linear elongation achieved, indicate that the inferior performance of plastic‐coated paperboards in thermoforming cannot be wholly attributed to restrictions in the three‐dimensional formability of materials; the inability of the current process lines to utilise the maximum potential of materials can also lead to their inferior performance. Notably, the method of pressure supply and cooling of materials requires adjustment of these materials. From a tooling perspective, owing to the spring‐back effects, the enlargement of the mould dimensions should be considered during the design stage. Additionally, based on potential opportunities with the current unmodified machinery and materials, products in the size of standard food trays have a higher likelihood of being optimised with tooling design than smaller sized shapes, which still require additional developments in materials. Moreover, designing moulds without draft angles can reduce the risk of rupture owing to the prevention of localised stress formation in materials.

Проектирование мехатронных систем гибридных станочных комплексов

The world trends over the last half century and prospects for the development of technological equipment complexes for the coming decades are viewed. A comprehensive analysis of the applied stages and stages of designing processing machinery with the help of the construction of traditional mechanical design models is carried out. It is shown that the prospects of using energy flows to intensify machining processes should be analyzed at the early stages of design, using thermal and elec-trophysical criteria to study the emerging connections in the system. It is proposed to start designing mechatronic systems of machine complexes by analyzing structural connections of information technologies in hybrid production, including tradi-tional and additive technologies. It is recommended to use sequences of transfer criteria to analyze the processes of for-mation of material structures and the surface layer under thermomechanical and electrophysical processing. The criteria of heat and mass transfer sequence the structure formation in the finished material with an increase in the power of stimula-tion. The criteria characterizing energy flows within electrophysical processing influence the sequence of surface phenome-na and determine the process of material properties formation. Feedbacks linkage in the control of production machinery is shown through the degrees of tool freedom, particles of the applied material and the layer to be removed, by means of addi-tional effects of energy flows. Taking into account direct and feedback loops in the technological system, numerical control systems should be selected and the machining facility complex should be designed as a mechatronic system. The complex of hybrid technological equipment from the standpoint of computerization of production activities, as well as its modules, should be designed as computer peripherals devices based on the same architecture like a computer.

Identification of Subsurface Mesoscale Crack in Full Ceramic Ball Bearings Based on Strain Energy Theory

Subsurface mesoscale cracks exist widely in the outer ring of full ceramic ball bearings (FCBBs), which is a potential threat for the stable operation of related devices such as aero engines, food processing machinery, and artificial replacement hip joints. This paper establishes a dynamic model of subsurface mesoscale cracks in the outer ring of FCBBs based on strain energy theory, and the influence of different crack lengths on the running state is analyzed. The existence of mesoscale cracks is regarded as weakening on the stiffness coefficient, and the deterioration degree of outer ring stiffness of subsurface cracks is thereby quantified. It is found that a small wave peak appears in the vibration time-domain signal when there is a mesoscale crack on the outer ring subsurface, and the crack evolution is evaluated by the amplitude of the corresponding feature frequency. Finally, the accuracy of the model is verified by experiments. The model realizes the identification and degree evaluation of subsurface mesoscale cracks in FCBBs, and provides theoretical references for the diagnosis and status monitoring for FCBB rotor systems.

ATRT-11. DEVELOPMENT OF NOVEL PRECLINICAL MODELS AND THERAPEUTIC STRATEGIES FOR ETMR

Abstract Embryonal Tumor with Multilayered Rosettes (ETMR) is a very rare, aggressive pediatric brain tumor with a dismal 5-year overall survival rate. Few genetic aberrations in miRNA clusters and processing machinery have been detected in ETMRs with 90% of ETMR patients having the C19MC amplification. ETMRs show heterogenous histopathological features, including regions of abundant neuropil, hypercellular regions with multilayered rosettes, and papillary structures resembling primitive neuroectoderm. This unique histology, together with the detection of C19MC or DICER alterations, are necessary for diagnosis. The cellular and molecular mechanisms underlying ETMR development is poorly understood, and targeted therapeutics have not been developed due to scarcity of preclinical models. To expand knowledge of ETMR biology and accelerate the design of novel, it is thus essential to develop preclinical models. We have generated a novel patient-derived ETMR cell line from a resected patient tumor sample (CTBP-03A) and created two patient-derived xenograft (PDX) models (CTBP-03A and CBTP-38). We have used these unique patient-derived cell lines to identify mechanisms driving ETMR development and progression. To identify novel therapeutic targets, we conducted high-throughput drug screening (HTDS) utilizing 2480 approved and investigational drugs, against the CBTP-03A cell line. Among the candidate drugs showing an inhibitory effect on CBTP-03, 63 compounds were selected based on their activity, CNS penetration ability, mechanism of action, and bioavailability, if known. The 63 potency-selected hits were screened in an all-versus-all format, totaling 1953 combinations. The rapidity of action of the top choice compounds used as single agent or in double and triple combination was assessed by caspase glow assay. This initial combination screen identified DNA replication stress and FGF signaling as potential new drug combinations for ETMR. We will thus describe the first combinatorial HTDS on two novel ETMR patient-derived cell lines and potential drug combination strategies for the treatment of ETMR.

Dynamic interactome of the MHC I peptide loading complex in human dendritic cells

Dendritic cells (DCs) orchestrate immune responses by presenting antigenic peptides on major histocompatibility complex (MHC) molecules to T cells. Antigen processing and presentation via MHC I rely on the peptide-loading complex (PLC), a supramolecular machinery assembled around the transporter associated with antigen processing (TAP), which is the peptide transporter in the endoplasmic reticulum (ER) membrane. We studied antigen presentation in human DCs by isolating monocytes from blood and differentiating them into immature and mature DCs. We uncovered that during DC differentiation and maturation, additional proteins are recruited to the PLC, including B-cell receptor-associated protein 31 (BAP31), vesicle-associated membrane protein-associated protein A (VAPA), and extended synaptotagmin-1 (ESYT1). We demonstrated that these ER cargo export and contact site-tethering proteins colocalize with TAP and are within 40 nm proximity of the PLC, suggesting that the antigen processing machinery is located near ER exit- and membrane contact sites. While CRISPR/Cas9-mediated deletion of TAP and tapasin significantly reduced MHC I surface expression, single-gene deletions of the identified PLC interaction partners revealed a redundant role of BAP31, VAPA, and ESYT1 in MHC I antigen processing in DCs. These data highlight the dynamics and plasticity of PLC composition in DCs that previously was not recognized by the analysis of cell lines.

Contribution of Shea-Based Livelihoods to Income of Rural Women in North-Western Ghana

The shea industry is a self-contained industry, and it is argued that with critical investment in processing machinery and skill training of the primary actors, it can sustainably enhance the livelihoods of poor rural households. Following an investment in semi-mechanised shea butter processing projects in two communities in North-Western Ghana, this study examined the contribution of the projects to rural women’s income in the communities. Data were collected from 156 shea butter producers, using questionnaires, two key informant interviews and two focus group discussions with the executives of the producer associations. The study found that although farming is the main occupation of the majority of women, shea butter processing is the leading sector because it contributes relatively higher to women’s income. Intriguingly, the income from shea-based livelihood is higher than the minimum annual wage in Ghana. This implies that the shea sector has the potential of contributing to household income, just as the formal sector. In order to enhance the role of the sector towards livelihoods, continuous support to the primary actors (women), and the ability to link them to external market remain critical.

Corona Phase Molecular Recognition of the Interleukin-6 (IL-6) Family of Cytokines Using nIR Fluorescent Single-Walled Carbon Nanotubes

The Interleukin-6 (IL-6) family of cytokines regulates inflammation and plays important roles in numerous biochemical pathways. Typically, cytokine levels are measured using enzyme-linked immunosorbent assay (ELISA) or western blot. However, these techniques usually require substantial processing time, cost, machinery, and specialist training. Understanding the fundamental molecular recognition mechanism of cytokines with synthetic substrates is key to developing new biomedical technologies such as assays, sensors, and therapeutics that overcome the above limitations. Herein, we use the corona phase molecular recognition (CoPhMoRe) approach to engineer new carbon nanotube constructs and study their binding to the inflammatory cytokines: IL-6, interleukin-11 (IL-11), ciliary neurotrophic factor (CNTF), and leukemia inhibitory factor (LIF). Library screening identified two polymer-based CoPhMoRe constructs consisting of single-walled carbon nanotubes complexed with p(AA68-rand-BA16-rand-CD16) polymer (MK2) or p(SS80-rand-BS20) polymer (P14) corona phases. The resulting dissociation constants (KD) were 8.38 ng/mL and 16.7 μg/mL, respectively, compared to that of the natural IL-6 receptor at ∼0.32 ng/mL. In addition, the MK2 constructs showed a nonmonotonic response function upon binding with IL-6. Comparative binding experiments suggest that both constructs appear to recognize the axially aligned α-helical structures present in the Interleukin-6 family. The findings from this study elucidate how nanoparticle interfaces, such as those produced by CoPhMoRe, can be designed to lock onto specific protein features. We find that the α-helical structure of the IL-6 family of cytokines can enable facile molecular recognition, opening the door to new types of label-free, low-cost sensing technologies.