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In January 2020, a workshop was held at EMBL-EBI (Hinxton, UK) to discuss data requirements for the deposition and validation of cryoEM structures, with a focus on single-particle analysis. The meeting was attended by 47 experts in data processing, model building and refinement, validation, and archiving of such structures. This report describes the workshop's motivation and history, the topics discussed, and the resulting consensus recommendations. Some challenges for future methods-development efforts in this area are also highlighted, as is the implementation to date of some of the recommendations.

CASP assessments primarily rely on comparing predicted coordinates with experimental reference structures. However, experimental structures by their nature are only models themselves-their construction involves a certain degree of subjectivity in interpreting density maps and translating them to atomic coordinates. Here, we directly utilized density maps to evaluate the predictions by employing a method for ranking the quality of protein chain predictions based on their fit into the experimental density. The fit-based ranking was found to correlate well with the CASP assessment scores. Overall, the evaluation against the density map indicated that the models are of high accuracy, and occasionally even better than the reference structure in some regions of the model. Local assessment of predicted side chains in a 1.52 Å resolution map showed that side-chains are sometimes poorly positioned. Additionally, the top 118 predictions associated with 9 protein target reference structures were selected for automated refinement, in addition to the top 40 predictions for 11 RNA targets. For both proteins and RNA, the refinement of CASP15 predictions resulted in structures that are close to the reference target structure. This refinement was successful despite large conformational changes often being required, showing that predictions from CASP-assessed methods could serve as a good starting point for building atomic models in cryo-EM maps for both proteins and RNA. Loop modeling continued to pose a challenge for predictors, and together with the lack of consensus amongst models in these regions suggests that modeling, in combination with model-fit to the density, holds the potential for identifying more flexible regions within the structure.

Computing protein structure from amino acid sequence information has been a long-standing grand challenge. Critical assessment of structure prediction (CASP) conducts community experiments aimed at advancing solutions to this and related problems. Experiments are conducted every 2 years. The 2020 experiment (CASP14) saw major progress, with the second generation of deep learning methods delivering accuracy comparable with experiment for many single proteins. There is an expectation that these methods will have much wider application in computational structural biology. Here we summarize results from the most recent experiment, CASP15, in 2022, with an emphasis on new deep learning-driven progress. Other papers in this special issue of proteins provide more detailed analysis. For single protein structures, the AlphaFold2 deep learning method is still superior to other approaches, but there are two points of note. First, although AlphaFold2 was the core of all the most successful methods, there was a wide variety of implementation and combination with other methods. Second, using the standard AlphaFold2 protocol and default parameters only produces the highest quality result for about two thirds of the targets, and more extensive sampling is required for the others. The major advance in this CASP is the enormous increase in the accuracy of computed protein complexes, achieved by the use of deep learning methods, although overall these do not fully match the performance for single proteins. Here too, AlphaFold2 based method perform best, and again more extensive sampling than the defaults is often required. Also of note are the encouraging early results on the use of deep learning to compute ensembles of macromolecular structures. Critically for the usability of computed structures, for both single proteins and protein complexes, deep learning derived estimates of both local and global accuracy are of high quality, however the estimates in interface regions are slightly less reliable. CASP15 also included computation of RNA structures for the first time. Here, the classical approaches produced better agreement with experiment than the new deep learning ones, and accuracy is limited. Also, for the first time, CASP included the computation of protein-ligand complexes, an area of special interest for drug design. Here too, classical methods were still superior to deep learning ones. Many new approaches were discussed at the CASP conference, and it is clear methods will continue to advance.

We present an in-depth analysis of selected CASP15 targets, focusing on their biological and functional significance. The authors of the structures identify and discuss key protein features and evaluate how effectively these aspects were captured in the submitted predictions. While the overall ability to predict three-dimensional protein structures continues to impress, reproducing uncommon features not previously observed in experimental structures is still a challenge. Furthermore, instances with conformational flexibility and large multimeric complexes highlight the need for novel scoring strategies to better emphasize biologically relevant structural regions. Looking ahead, closer integration of computational and experimental techniques will play a key role in determining the next challenges to be unraveled in the field of structural molecular biology.

Prediction categories in the Critical Assessment of Structure Prediction (CASP) experiments change with the need to address specific problems in structure modeling. In CASP15, four new prediction categories were introduced: RNA structure, ligand-protein complexes, accuracy of oligomeric structures and their interfaces, and ensembles of alternative conformations. This paper lists technical specifications for these categories and describes their integration in the CASP data management system.

Abstract We report the results of a comprehensive copy number variant (CNV) reanalysis of 9171 exome sequencing datasets from 5757 families affected by a rare disease (RD). The data reanalysed was extremely heterogeneous, having been generated using 28 different enrichment kits by 42 different research groups across Europe partnering in the Solve-RD project. Each research group had previously undertaken their own analysis of the data but failed to identify disease-causing variants. We applied three CNV calling algorithms to maximise sensitivity, and rare CNVs overlapping genes of interest, provided by four partner European Reference Networks, were taken forward for interpretation by clinical experts. This reanalysis has resulted in a molecular diagnosis being provided to 51 families in this sample, with ClinCNV performing the best of the three algorithms. We also identified partially explanatory pathogenic CNVs in a further 34 individuals. This work illustrates the value of reanalysing ES cold cases for CNVs.

Introduction: Wilson’s disease is a rare autosomal recessive disorder that disrupts copper metabolism. It presents with distinctive ocular manifestations. Oculodermal melanosis, commonly referred to as nevus of Ota, is a painless condition characterized by hyperpigmentation in and around the eye. In this case report, we describe the unique occurrence of both conditions in this pediatric patient. Case Presentation: A 10-year-old girl exhibited classic ocular signs associated with Wilson’s disease, including Kayser-Fleischer rings and sunflower-type cataracts. Additionally, she displayed unilateral confluent gray-blue hyperpigmentation consistent with a nevus of Ota. As of now, the patient remains asymptomatic, with preserved visual acuity. Conclusions: To the best of our knowledge, this case represents the first report of nevus of Ota in a child diagnosed with Wilson’s disease.

The Scholarship of Teaching and Learning (SoTL) aligns with many institutionally espoused values regarding the value of teaching and learning excellence. SoTL has increased in prestige and value in the past decade, but less information about the proliferation of SoTL within one institution is known. Through an examination of 10 years of curriculum vitae submitted for successful promotion and tenure, our study investigated faculty members' engagement in SoTL over time and differences in engagement by rank, race, gender, discipline, and type of SoTL artifact. Over the 10-year period, the percentage of faculty engaged in SoTL did not differ significantly. We did uncover differences by disciplinary type and race. Faculty were most likely to engage in grants and presentations related to SoTL and least likely to have a peer-reviewed journal artifact. Our findings suggest that although SoTL efforts continue to gain acceptance within the higher education milieu, institutional and disciplinary realities may be powerful determiners of SoTL participation.

Renal physiology is considered one of the most challenging medical disciplines to understand and to teach. Eight academic nephrologists have come together to produce a podcast devoted to helping learners at any level improve their understanding of this difficult topic. Using Dr Burton D. Rose’s classic textbook: Clinical Physiology of Acid-Base and Electrolyte Disorders, the podcast faculty systematically attack each chapter of the book in a didactic yet fun-flowing interactive discussion. This education model is unique and helps demystify complex topics.

Abstract The use of head‐mounted augmented reality (AR) for surgeries has grown rapidly in recent years. AR aids in intraoperative surgical navigation through overlaying three‐dimensional (3D) holographic reconstructions of medical data. However, performing AR surgeries on complex areas such as the head and neck region poses challenges in terms of accuracy and speed. This study explores the feasibility of an AR guidance system for resections of positive tumour margins in a cadaveric specimen. The authors present an intraoperative solution that enables surgeons to upload and visualize holographic reconstructions of resected cadaver tissues. The solution involves using a 3D scanner to capture detailed scans of the resected tissue, which are subsequently uploaded into our software. The software converts the scans of resected tissues into specimen holograms that are viewable through a head‐mounted AR display. By re‐aligning these holograms with cadavers with gestures or voice commands, surgeons can navigate the head and neck tumour site. This workflow can run concurrently with frozen section analysis. On average, the authors achieve an uploading time of 2.98 min, visualization time of 1.05 min, and re‐alignment time of 4.39 min, compared to the 20 to 30 min typical for frozen section analysis. The authors achieve a mean re‐alignment error of 3.1 mm. The authors’ software provides a foundation for new research and product development for using AR to navigate complex 3D anatomy in surgery.

In January 2020, a workshop was held at EMBL-EBI (Hinxton, UK) to discuss data requirements for the deposition and validation of cryoEM structures, with a focus on single-particle analysis. The meeting was attended by 47 experts in data processing, model building and refinement, validation, and archiving of such structures. This report describes the workshop's motivation and history, the topics discussed, and the resulting consensus recommendations. Some challenges for future methods-development efforts in this area are also highlighted, as is the implementation to date of some of the recommendations.

Background: Positive margins are frequently observed in total laryngectomy (TL) specimens. Effective communication of margin sampling sites and final margin status between surgeons and pathologists is crucial. In this study, we evaluate the utility of multimedia visual pathology reports to facilitate interdisciplinary discussion of margin status in laryngeal cancer surgery. Methods: Ex vivo laryngeal cancer surgical specimens were three-dimensional (3D) scanned before standard of care pathological analysis. Using computer-aided design software, the 3D model was annotated to reflect inking, sectioning, and margin sampling sites, generating a visual pathology report. These reports were distributed to head and neck surgeons and pathologists postoperatively. Results: Fifteen laryngeal cancer surgical specimens were 3D scanned and virtually annotated from January 2022 to December 2023. Most specimens (73.3%) were squamous cell carcinomas (SCCs). Among the cases, 26.7% had final positive surgical margins, whereas 13.3% had close margins, defined as

We communicate a versatile and user-friendly Cu-based catalytic method that allows for the selective hydrogenation of enoates and alkynes. The introduced protocol is free from any ex ante modifications of the used Cu(I) precursors by air-sensitive phosphines or elaborate N-heterocyclic carbene ligands. The conjugate hydrogenation of enoates and the (selective) reduction of C≡C bonds is achieved through a [Cu(CH3CN)4]+/tert-butoxide pair whereby we describe a delicate influence of the base cation on the chemoselectivity of the respective transformation. In case of the ester-to-alcohol reduction, a combination of simple CuI and NaOtBu proved to be successful. Deuteration experiments are included to address certain mechanistic aspects of the introduced catalytic system. All requisite chemicals are readily obtainable through commercial channels and the catalyst assembly is set up on the bench without the need for special lab-technical precautions.

An individuals immune and metabolic status is coupled to their microbiome. Probiotics offer a promising, safe route to influence host health, possibly via the microbiome. Here, we report an 18-week, randomized prospective study that explores the effects of a probiotic vs. placebo supplement on 39 adults with elevated parameters of metabolic syndrome. We performed longitudinal sampling of stool and blood to profile the human microbiome and immune system. While we did not see changes in metabolic syndrome markers in response to the probiotic across the entire cohort, there were significant improvements in triglycerides and diastolic blood pressure in a subset of probiotic arm participants. Conversely, the non-responders had increased blood glucose and insulin levels over time. The responders had a distinct microbiome profile at the end of the intervention relative to the non-responders and placebo arm. Importantly, diet was a key differentiating factor between responders and non-responders. Our results show participant-specific effects of a probiotic supplement on improving parameters of metabolic syndrome and suggest that dietary factors may enhance stability and efficacy of the supplement.

Cytoplasmic and nuclear iron-sulfur (Fe-S) enzymes that are essential for genome maintenance and replication depend on the cytoplasmic Fe-S assembly (CIA) machinery for cluster acquisition. The core of the CIA machinery consists of a complex of CIAO1, MMS19 and FAM96B. The physiological consequences of loss of function in the components of the CIA pathway have thus far remained uncharacterized. Our study revealed that patients with biallelic loss of function in CIAO1 developed proximal and axial muscle weakness, fluctuating creatine kinase elevation, and respiratory insufficiency. In addition, they presented with CNS symptoms including learning difficulties and neurobehavioral comorbidities, along with iron deposition in deep brain nuclei, mild normocytic to macrocytic anemia, and gastrointestinal symptoms. Mutational analysis revealed reduced stability of the variants compared with WT CIAO1. Functional assays demonstrated failure of the variants identified in patients to recruit Fe-S recipient proteins, resulting in compromised activities of DNA helicases, polymerases, and repair enzymes that rely on the CIA complex to acquire their Fe-S cofactors. Lentivirus-mediated restoration of CIAO1 expression reversed all patient-derived cellular abnormalities. Our study identifies CIAO1 as a human disease gene and provides insights into the broader implications of the cytosolic Fe-S assembly pathway in human health and disease., Introduction Iron-sulfur (Fe-S) clusters are ancient and evolutionarily conserved prosthetic groups with unique chemical properties that enable the proteins that contain them (Fe-S proteins) to function in several essential cellular [...]

Abstract Due to the anatomic complexity of the head and neck and variable proximity between laboratory and operating room (OR), effective communication during frozen section analysis (FSA) between surgeons and pathologists is challenging. This proof‐of‐concept study investigates an augmented reality (AR) protocol that allows pathologists to virtually join the OR from the laboratory. Head and neck cancer specimens were scanned ex vivo using a 3‐dimensional scanner and uploaded into an AR platform. Eight head and neck specimens were discussed by surgeons and pathologists in an AR environment. AR‐guided intraoperative consultation was used for specimen orientation and discussion of FSA margin sampling sites. One patient had positive initial margins on FSA and was re‐resected to negative final margins. AR‐guided FSA is possible and allows pathologists to join the operating from any location for intraoperative discussion.

ABSTRACT The Gardnerella genus, comprising at least 13 species, is associated with the polymicrobial disorder bacterial vaginosis (BV). However, the details of BV pathogenesis are poorly defined, and the contributions made by individual species, including Gardnerella spp., are largely unknown. We report here that colony phenotypes characterized by size (large and small) and opacity (opaque and translucent) are phase variable and are conserved among all tested Gardnerella strains, representing at least 10 different species. With the hypothesis that these different variants could be an important missing piece to the enigma of how BV develops in vivo, we characterized their phenotypic, proteomic, and genomic differences. Beyond increased colony size, large colony variants showed reduced vaginolysin secretion and faster growth rate relative to small colony variants. The ability to inhibit the growth of Neisseria gonorrhoeae and commensal Lactobacillus species varied by strain and, in some instances, differed between variants. Proteomics analyses indicated that 127–173 proteins were differentially expressed between variants. Proteins with increased expression in large variants of both strains were associated with amino acid and protein synthesis and protein folding, whereas those increased in small variants were related to nucleotide synthesis, phosphate transport, ABC transport, and glycogen breakdown. Furthermore, whole genome sequencing analyses revealed an abundance of genes associated with variable homopolymer tracts, implicating slipped strand mispairing in Gardnerella phase variation and illuminating the potential for previously unrecognized heterogeneity within clonal populations. Collectively, these results suggest that phase variants may be primed to serve different roles in BV pathogenesis.IMPORTANCEBacterial vaginosis is the most common gynecological disorder in women of childbearing age. Gardnerella species are crucial to the development of this dysbiosis, but the mechanisms involved in the infection are not understood. We discovered that Gardnerella species vary between two different forms, reflected in bacterial colony size. A slow-growing form makes large amounts of the toxin vaginolysin and is better able to survive in human cervix tissue. A fast-growing form is likely the one that proliferates to high numbers just prior to symptom onset and forms the biofilm that serves as a scaffold for multiple BV-associated anaerobic bacteria. Identification of the proteins that vary between different forms of the bacteria as well as those that vary randomly provides insight into the factors important for Gardnerella infection and immune avoidance.

BackgroundThe provision of audio recordings of their own medical encounters to patients, termed consultation recordings, has demonstrated promising benefits, particularly in addressing information needs of cancer patients. While this intervention has been explored globally, there is limited research specific to Germany. This study investigates the attitudes and experiences of cancer patients in Germany toward consultation recordings.MethodsWe conducted a nationwide cross-sectional quantitative online survey, informed by semi-structured interviews with cancer patients. The survey assessed participants’ attitudes, experiences and desire for consultation recordings in the future. The data was analyzed using descriptive statistics and subgroup analyses.ResultsA total of 287 adult cancer patients participated. An overwhelming majority (92%) expressed a (very) positive attitude. Overall, participants strongly endorsed the anticipated benefits of the intervention, such as improved recall and enhanced understanding. Some participants expressed concerns that physicians might feel pressured and could become more reserved in their interactions with the use of such recordings. While a small proportion (5%) had prior experience with audio recording medical encounters, the majority (92%) expressed interest in having consultation recordings in the future.DiscussionWe observed positive attitudes of cancer patients in Germany toward consultation recordings, paralleling international research findings. Despite limited experiences, participants acknowledged the potential benefits of the intervention, particularly related to recalling and comprehending information from medical encounters. Our findings suggest that the potential of the intervention is currently underutilized in German cancer care. While acknowledging the possibility of a positive bias in our results, we conclude that this study represents an initial exploration of the intervention’s potential within the German cancer care context, laying the groundwork for its further evaluation.

This study examines the lived experiences of seven internationally diverse scholars from Canada, the United States, New Zealand, and Australia to answer the question: how do we make meaning of our collective boundary crossing experiences across disciplines and positions within SoTL? Our positions range from graduate student, faculty, and academic developers, to department chair and centre director. We conducted a phenomenological study, based on narratives of experience, and drew on Wenger-Trayner and Wenger-Trayner's (2015) theoretical framework that explores the features of a landscape of practice. Guided by this framework, we analyze our boundary crossings and brokering across the "diverse, political and flat" features of the SoTL landscape. Our collective findings highlight the critical role brokers play in facilitating boundary crossings. Brokering is precarious, bringing people together, building trusting relationships, and developing legitimacy while negotiating deadlocks, bureaucracy, authorities, and a multitude of challenges. Brokers, we found, require strength and resilience to mobilise, influence, and drive change in the landscape to transform existing practices or create new ones. We suggest that our analytical process can be used as a tool of analysis for future research about how brokers influence the SoTL landscape of practice and how brokering enhances SoTL development, support, and leadership.

Abstract Exploring the molecular basis of disease severity in rare disease scenarios is a challenging task provided the limitations on data availability. Causative genes have been described for Congenital Myasthenic Syndromes (CMS), a group of diverse minority neuromuscular junction (NMJ) disorders; yet a molecular explanation for the phenotypic severity differences remains unclear. Here, we present a workflow to explore the functional relationships between CMS causal genes and altered genes from each patient, based on multilayer network community detection analysis of complementary biomedical information provided by relevant data sources, namely protein-protein interactions, pathways and metabolomics. Our results show that CMS severity can be ascribed to the personalized impairment of extracellular matrix components and postsynaptic modulators of acetylcholine receptor (AChR) clustering. This work showcases how coupling multilayer network analysis with personalized -omics information provides molecular explanations to the varying severity of rare diseases; paving the way for sorting out similar cases in other rare diseases.

Abstract Cryo-EM experiments produce images of macromolecular assemblies that are combined to produce three-dimensional density maps. Typically, atomic models of the constituent molecules are fitted into these maps, followed by a density-guided refinement. We introduce TEMPy-ReFF, a method for atomic structure refinement in cryo-EM density maps. Our method represents atomic positions as components of a Gaussian mixture model, utilising their variances as B-factors, which are used to derive an ensemble description. Extensively tested on a substantial dataset of 229 cryo-EM maps from EMDB ranging in resolution from 2.1-4.9 Å with corresponding PDB and CERES atomic models, our results demonstrate that TEMPy-ReFF ensembles provide a superior representation of cryo-EM maps. On a single-model basis, it performs similarly to the CERES re-refinement protocol, although there are cases where it provides a better fit to the map. Furthermore, our method enables the creation of composite maps free of boundary artefacts. TEMPy-ReFF is useful for better interpretation of flexible structures, such as those involving RNA, DNA or ligands.

BACKGROUND: Valosin-containing protein (VCP) disease, caused by mutations in the VCP gene, results in myopathy, Pagets disease of bone (PBD) and frontotemporal dementia (FTD). Natural history and genotype-phenotype correlation data are limited. This study characterises patients with mutations in VCP gene and investigates genotype-phenotype correlations. METHODS: Descriptive retrospective international study collecting clinical and genetic data of patients with mutations in the VCP gene. RESULTS: Two hundred and fifty-five patients (70.0% males) were included in the study. Mean age was 56.8±9.6 years and mean age of onset 45.6±9.3 years. Mean diagnostic delay was 7.7±6 years. Symmetric lower limb weakness was reported in 50% at onset progressing to generalised muscle weakness. Other common symptoms were ventilatory insufficiency 40.3%, PDB 28.2%, dysautonomia 21.4% and FTD 14.3%. Fifty-seven genetic variants were identified, 18 of these no previously reported. c.464G>A (p.Arg155His) was the most frequent variant, identified in the 28%. Full time wheelchair users accounted for 19.1% with a median time from disease onset to been wheelchair user of 8.5 years. Variant c.463C>T (p.Arg155Cys) showed an earlier onset (37.8±7.6 year) and a higher frequency of axial and upper limb weakness, scapular winging and cognitive impairment. Forced vital capacity (FVC) below 50% was as risk factor for being full-time wheelchair user, while FVC

Sclerosing odontogenic carcinoma (SOC) is a rare intraosseous carcinoma of the jaw which was recently added to the World Health Organization classification of head and neck tumors. We report a case of SOC in the left maxilla of a 64-year-old who complained of several years of midface swelling, facial pain, and facial weakness. Imaging revealed an infiltrative mass and biopsy demonstrated fibrous dysplasia involved by a low-grade carcinoma, undeterminable origin. A partial maxillectomy was remarkable for scattered small, angulated nests and long, thin cords of cuboidal cells infiltrating a markedly sclerotic stroma. Bony changes consistent with fibrous dysplasia were again seen. Immunohistochemically, the epithelial cells were reactive for AE1/AE3 and p63, while negative for ERG and myogenin consistent with odontogenic carcinoma. The disease was not resectable, and the patient was treated with palliative immunotherapy. The diagnosis of SOC requires careful evaluation of clinical and pathologic features.

Confronted by rising powers with autocratic structures such as China and Russia, it is essential for the United States to be less dependent on nations that do not share its values. Rather than a new era of isolationism, this essay proposes a renewed sense of confidence and determination for America to continue to be the leader of the Free World. To be able to support others, the U.S. first needs to look after its own interests as a nation-state. Specifically, this means: (1) Gaining and maintaining energy independence by investing in an energy mix that is both economically and ecologically sustainable; (2) Revitalizing manufacturing in the U.S. by creating an investment-friendly environment and taking advantage of the innovative technologies of the Third and Fourth Industrial Revolutions; and (3) Reevaluating the nation's foreign-policy commitments by rebuilding its military capabilities in order to focus on its own defense and a few key allies, rather than spending resources in engagements that are not directly connected to America's self-interest., THE DAWN OF A NEW ERA Living in a democratic society that guarantees the rights and liberties of its citizens is by no means a foregone conclusion. The first half [...]

Abstract Introduction Patient‐centered care (PCC) has been declared as a desirable goal for health care in Latin American countries, but a coherent definition of what exactly PCC entails for clinical practice is missing. This article's aim was to identify how PCC is conceptualized in Latin American countries. Methods Scientific databases (MEDLINE, EMBASE, PsycINFO, CINAHL, Scielo, Scopus, Web of Science) and webpages of the ministries of health were searched, and experts were contacted for suggestions of literature. References were included if they contained one of a range of a priori defined keywords related to PCC in the title, were published between 2006 and 2021, and were carried out in or concerned Latin America. Definitions of PCC were extracted from the included articles and analyzed using deductive and inductive coding. Deductive coding was based on the integrative model of patient‐centeredness, which unites the definitions of PCC in the international literature (mainly North America and Europe) and proposes 16 dimensions describing PCC. Results Thirty‐two articles were included in the analysis and about half of them were from Brazil. Numerous similarities were found between the integrative model of patient‐centeredness and the definitions of PCC given in the selected literature. The dimensions of the integrative model of patient‐centeredness that were least and most prominent in the literature were physical support and patient information, respectively. A differentiation between PCC and family‐centered care (FCC) was observed. Definitions of PCC and FCC as well as their cited references were diverse. Conclusion A considerable overlap between the conceptualization of PCC in Latin America and the integrative model of patient‐centeredness has been identified. However, there are substantial differences between countries in Latin America regarding the emphasis of research on PCC versus FCC and diverse conceptualizations of PCC and FCC exist. Patient Contribution This scoping review takes the patient's perspective based on the integrative model of patient‐centeredness. Due to the study being a review, no patients, neither caregivers, nor members of the public, were involved.

Abstract Background Prefoldin is an evolutionarily conserved co-chaperone of the tailless complex polypeptide 1 ring complex (TRiC)/chaperonin containing tailless complex 1 (CCT). The prefoldin complex consists of six subunits that are known to transfer newly produced cytoskeletal proteins to TRiC/CCT for folding polypeptides. Prefoldin function was recently linked to the maintenance of protein homeostasis, suggesting a more general function of the co-chaperone during cellular stress conditions. Prefoldin acts in an adenosine triphosphate (ATP)-independent manner, making it a suitable candidate to operate during stress conditions, such as mitochondrial dysfunction. Mitochondrial function depends on the production of mitochondrial proteins in the cytosol. Mechanisms that sustain cytosolic protein homeostasis are vital for the quality control of proteins destined for the organelle and such mechanisms among others include chaperones. Results We analyzed consequences of the loss of prefoldin subunits on the cell proliferation and survival of Saccharomyces cerevisiae upon exposure to various cellular stress conditions. We found that prefoldin subunits support cell growth under heat stress. Moreover, prefoldin facilitates the growth of cells under respiratory growth conditions. We showed that mitochondrial morphology and abundance of some respiratory chain complexes was supported by the prefoldin 2 (Pfd2/Gim4) subunit. We also found that Pfd2 interacts with Tom70, a receptor of mitochondrial precursor proteins that are targeted into mitochondria. Conclusions Our findings link the cytosolic prefoldin complex to mitochondrial function. Loss of the prefoldin complex subunit Pfd2 results in adaptive cellular responses on the proteome level under physiological conditions suggesting a continuous need of Pfd2 for maintenance of cellular homeostasis. Within this framework, Pfd2 might support mitochondrial function directly as part of the cytosolic quality control system of mitochondrial proteins or indirectly as a component of the protein homeostasis network.

Critical assessment of structure prediction (CASP) is a community experiment to advance methods of computing three-dimensional protein structure from amino acid sequence. Core components are rigorous blind testing of methods and evaluation of the results by independent assessors. In the most recent experiment (CASP14), deep-learning methods from one research group consistently delivered computed structures rivaling the corresponding experimental ones in accuracy. In this sense, the results represent a solution to the classical protein-folding problem, at least for single proteins. The models have already been shown to be capable of providing solutions for problematic crystal structures, and there are broad implications for the rest of structural biology. Other research groups also substantially improved performance. Here, we describe these results and outline some of the many implications. Other related areas of CASP, including modeling of protein complexes, structure refinement, estimation of model accuracy, and prediction of inter-residue contacts and distances, are also described.

Structures of seven CASP14 targets were determined using cryo-electron microscopy (cryo-EM) technique with resolution between 2.1 and 3.8 Å. We provide an evaluation of the submitted models versus the experimental data (cryo-EM density maps) and experimental reference structures built into the maps. The accuracy of models is measured in terms of coordinate-to-density and coordinate-to-coordinate fit. A-posteriori refinement of the most accurate models in their corresponding cryo-EM density resulted in structures that are close to the reference structure, including some regions with better fit to the density. Regions that were found to be less "refineable" correlate well with regions of high diversity between the CASP models and low goodness-of-fit to density in the reference structure.

The biological and functional significance of selected Critical Assessment of Techniques for Protein Structure Prediction 14 (CASP14) targets are described by the authors of the structures. The authors highlight the most relevant features of the target proteins and discuss how well these features were reproduced in the respective submitted predictions. The overall ability to predict three-dimensional structures of proteins has improved remarkably in CASP14, and many difficult targets were modeled with impressive accuracy. For the first time in the history of CASP, the experimentalists not only highlighted that computational models can accurately reproduce the most critical structural features observed in their targets, but also envisaged that models could serve as a guidance for further studies of biologically-relevant properties of proteins.

This paper describes relationships between tuition discounting (TD), net tuition revenue, and other institutional characteristics at four-year, liberal arts institutions. TD, a practice whereby institutional grants are used to subsidize a student's educational expense, has become a common practice at four-year institutions. TDs impact on enrollments, financial aid, and budgets continues to increase, raising concerns about the long-term sustainability of the practice. Drawing upon Breneman's (1994) economic theory of four-year private institutions, this research examined trends in student characteristics, enrollment, institutional grants, and net tuition revenue (NTR) and the relationship between TD practices NTR. Analyzing panel data of four-year, small, liberal arts colleges from 2003-2012, results illustrated that over the 10-year period, enrollment, tuition, and number and amount of institutional grant aid increased; average yield and SAT average score decreased. NTR has increased but lags behind increases in tuition and gross tuition revenue. Additionally, there is a point at which TD practices do not generate additional revenue. The results highlight the importance of financial aid officers and institutional leaders to examine the effectiveness of their current tuition discounting practices, the demand for their institution, and strategies for improving enrollment and retention.

Abstract The broad adoption of transgenic crops has revolutionized agriculture. However, resistance to insecticidal proteins by agricultural pests poses a continuous challenge to maintaining crop productivity and new proteins are urgently needed to replace those utilized for existing transgenic traits. We identified an insecticidal membrane attack complex/perforin (MACPF) protein, Mpf2Ba1, with strong activity against the devastating coleopteran pest western corn rootworm (WCR) and a novel site of action. Using an integrative structural biology approach, we determined monomeric, pre-pore and pore structures, revealing changes between structural states at high resolution. We discovered an assembly inhibition mechanism, a molecular switch that activates pre-pore oligomerization upon gut fluid incubation and solved the highest resolution MACPF pore structure to-date. Our findings demonstrate not only the utility of Mpf2Ba1 in the development of biotechnology solutions for protecting maize from WCR to promote food security, but also uncover previously unknown mechanistic principles of bacterial MACPF assembly.