Surface-Induced Hydrophobin Assemblies with Versatile Properties and Distinct Underlying Structures.

Hydrophobins are remarkable proteins due to their ability to self-assemble into amphipathic coatings that reverse surface wettability. Here, the versatility of the Class I hydrophobins EASΔ15 and DewY in diverse nanosuspension and coating applications is demonstrated. The hydrophobins are shown to coat or emulsify a range of substrates including oil, hydrophobic drugs, and nanodiamonds and alter their solution and surface behavior. Surprisingly, while the coatings confer new properties, only a subset is found to be resistant to hot detergent treatment, a feature previously thought to be characteristic of the functional amyloid form of Class I hydrophobins. These results demonstrate that substrate surface properties can influence the molecular structures and physiochemical properties of hydrophobin and possibly other functional amyloids. Functional amyloid assembly with different substrates and conditions may be analogous to the propagation of different polymorphs of disease-associated amyloid fibrils with distinct structures, stability, and clinical phenotypes. Given that amyloid formation is not required for Class I hydrophobins to serve diverse applications, our findings open up new opportunities for their use in applications requiring a range of chemical and physical properties. In hydrophobin nanotechnological applications where high stability of assemblies is required, simultaneous structural and functional characterization should be carried out. Finally, while results in this study pertain to synthetic substrates, they raise the possibility that at least some members of the pseudo-Class I and Class III hydrophobins, reported to form assemblies with noncanonical properties, may be Class I hydrophobins adopting alternative structures in response to environmental cues.

PAFway: pairwise associations between functional annotations in biological networks and pathways.

MOTIVATION: Large gene networks can be dense and difficult to interpret in a biologically meaningful way. RESULTS: Here, we introduce PAFway, which estimates pairwise associations between functional annotations in biological networks and pathways. It answers the biological question: do genes that have a specific function tend to regulate genes that have a different specific function? The results can be visualized as a heatmap or a network of biological functions. We apply this package to reveal associations between functional annotations in an Arabidopsis thaliana gene network. AVAILABILITY AND IMPLEMENTATION: PAFway is submitted to CRAN. Currently available here: https://github.com/ezer/PAFway. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Disparate binding kinetics by an intrinsically disordered domain enables temporal regulation of transcriptional complex formation.

Intrinsically disordered regions are highly represented among mammalian transcription factors, where they often contribute to the formation of multiprotein complexes that regulate gene expression. An example of this occurs with LIM-homeodomain (LIM-HD) proteins in the developing spinal cord. The LIM-HD protein LHX3 and the LIM-HD cofactor LDB1 form a binary complex that gives rise to interneurons, whereas in adjacent cell populations, LHX3 and LDB1 form a rearranged ternary complex with the LIM-HD protein ISL1, resulting in motor neurons. The protein-protein interactions within these complexes are mediated by ordered LIM domains in the LIM-HD proteins and intrinsically disordered LIM interaction domains (LIDs) in LDB1 and ISL1; however, little is known about how the strength or rates of binding contribute to complex assemblies. We have measured the interactions of LIM:LID complexes using FRET-based protein-protein interaction studies and EMSAs and used these data to model population distributions of complexes. The protein-protein interactions within the ternary complexes are much weaker than those in the binary complex, yet surprisingly slow LDB1:ISL1 dissociation kinetics and a substantial increase in DNA binding affinity promote formation of the ternary complex over the binary complex in motor neurons. We have used mutational and protein engineering approaches to show that allostery and modular binding by tandem LIM domains contribute to the LDB1LID binding kinetics. The data indicate that a single intrinsically disordered region can achieve highly disparate binding kinetics, which may provide a mechanism to regulate the timing of transcriptional complex assembly.

A novel prognostic nomogram for predicting survival in diffuse pleural mesothelioma.

Recent advances in the management of diffuse pleural mesothelioma (DPM) have increased interest in prognostication and risk stratification on the basis that maximum benefit of combination immunotherapy appears to be seen in patients who otherwise would have the worst prognosis. Various grading schemes have been proposed, including the recently published Mesothelioma Weighted Grading Scheme (MWGS). However, predictive modelling using deep learning algorithms is increasingly regarded as the gold standard in prognostication. We therefore sought to develop and validate a prognostic nomogram for DPM. Data from 369 consecutive patients with DPM were used as independent training and validation cohorts to develop a prognostic tool that included the following variables: age, sex, histological type, nuclear atypia, mitotic count, necrosis, and BAP1 immunohistochemistry. Patients were stratified into four risk groups to assess model discrimination and calibration. To assess discrimination, the area-under-the-curve (AUC) of a receiver-operator-curve (ROC), concordance-index (C-index), and dissimilarity index (D-index) were calculated. Based on the 5-year ROC analysis, the AUC for our model was 0.75. Our model had a C-index of 0.67 (95% CI 0.53-0.79) and a D-index of 2.40 (95% CI 1.69-3.43). Our prognostic nomogram for DPM is the first of its kind, incorporates well established prognostic markers, and demonstrates excellent predictive capability. As these factors are routinely assessed in most pathology laboratories, it is hoped that this model will help inform prognostication and difficult management decisions, such as patient selection for novel therapies. This nomogram is now freely available online at: https://nomograms.shinyapps.io/Meso_Cox_ML/.

Predicting survival in colorectal carcinoma after curative resection: a new prognostic nomogram.

Several prognostic nomograms designed to predict survival after curative resection for colorectal cancer (CRC) have been proposed. Recently, routine pathological assessment has evolved with subtle changes to the AJCC staging system, and routine screening for mismatch repair deficiency (MMRd). Therefore we sought to develop and validate a new prognostic nomogram. All cause survival data from 4517 consecutive patients with primary CRC were used as independent training and validation cohorts to develop a final model including only: age, sex, tumour stage, nodal status, number of lymph nodes resected, apical node status, distant metastases, thin-walled vascular invasion, and MMR status. Patients were stratified into four risk groups to assess model discrimination and calibration. To assess discrimination, the area-under-the-curve (AUC) of a receiver-operator-curve (ROC), concordance-index (C-index), and D-index were calculated. The model was compared to the Memorial Sloan Kettering Cancer Center (MSKCC) CRC nomogram and the AJCC TNM staging. Based on the 5-year ROC analysis, the AUC for our model was 0.81 (0.79 and 0.74 for MSKCC and AJCC, respectively). Moreover, our model demonstrated a concordance index of 0.77 (95% CI 0.70-0.82) compared to 0.75 (95% CI 0.68-0.81) for MSKCC and 0.73 (95% CI 0.65-0.79) for AJCC. In conclusion, our new prognostic nomogram incorporates a larger number of clinically relevant prognostic markers, including MMR status, and therefore demonstrates improved predictive capability. As these factors are routinely assessed, it is hoped that this model will inform prognostication and difficult management decisions, such as patient selection for adjuvant therapy.

A Critical Assessment of Current Grading Schemes for Diffuse Pleural Mesothelioma With a Proposal for a Novel Mesothelioma Weighted Grading Scheme (MWGS).

Although there is early support for schemes based on nuclear grade, necrosis and mitotic rate, there is currently no widely implemented grading system for diffuse pleural mesothelioma (DPM). We investigated current systems and propose a novel Mesothelioma Weighted Grading Scheme (MWGS). The MWGS assigns weighted scores from 0 to 10 based on age (≤74, >74 yrs: 0,1); histologic type (epithelioid, biphasic, sarcomatoid: 0,1,2); necrosis (absent, present: 0,2); mitotic count per 2 mm2 (≤1, 2 to 4, ≥5: 0,1,2); nuclear atypia (mild, moderate, severe: 0,1,2); and BRCA1-associated protein 1 (BAP1) expression (lost, retained: 0,1). A score of 0 to 3 is low grade, 4 to 6 intermediate grade, and 7 to 10 high grade. In 369 consecutive DPMs, median survival was 17.1, 10.1, and 4.1 months for low, intermediate, and high grades (P<0.0001). A progressive increase in score correlated with worsening overall survival (P<0.0001). Interobserver concordance was substantial (κ=0.588), with assessment of nuclear grade being the most subjective parameter (κ=0.195). We compared the MWGS to the 2-tiered system discussed in the World Health Organization (WHO) fifth edition. The WHO system predicted median survival in epithelioid (median 18.0 vs. 11.3 mo, P=0.003) and biphasic (16.2 vs. 4.2 mo, P=0.002), but not sarcomatoid DPM (5.4 vs. 4.7 mo, P=0.407). Interestingly, the WHO grading system was prognostic in cases with BAP1 loss (median survival 18.7 vs. 10.4 mo, P<0.0001), but not retained BAP1 expression (8.9 vs. 6.2 mo, P=0.061). In conclusion, the WHO scheme has merit in epithelioid/biphasic and BAP1-deficient DPM, however, the MWGS can be used for risk stratification of all DPMs, regardless of histologic subtype and BAP1 status.

An early-morning gene network controlled by phytochromes and cryptochromes regulates photomorphogenesis pathways in Arabidopsis.

Light perception at dawn plays a key role in coordinating multiple molecular processes and in entraining the plant circadian clock. The Arabidopsis mutant lacking the main photoreceptors, however, still shows clock entrainment, indicating that the integration of light into the morning transcriptome is not well understood. In this study, we performed a high-resolution RNA-sequencing time-series experiment, sampling every 2 min beginning at dawn. In parallel experiments, we perturbed temperature, the circadian clock, photoreceptor signaling, and chloroplast-derived light signaling. We used these data to infer a gene network that describes the gene expression dynamics after light stimulus in the morning, and then validated key edges. By sampling time points at high density, we are able to identify three light- and temperature-sensitive bursts of transcription factor activity, one of which lasts for only about 8 min. Phytochrome and cryptochrome mutants cause a delay in the transcriptional bursts at dawn, and completely remove a burst of expression in key photomorphogenesis genes (HY5 and BBX family). Our complete network is available online (http://www-users.york.ac.uk/∼de656/dawnBurst/dawnBurst.html). Taken together, our results show that phytochrome and cryptochrome signaling is required for fine-tuning the dawn transcriptional response to light, but separate pathways can robustly activate much of the program in their absence.