Colorectal cancer subtyping and prognostic model construction based on interleukin-related genes.

Members of the interleukin (IL) family are closely linked to cancer development and progression. However, research on the prognosis of colorectal cancer (CRC) related to IL is still lacking. This study investigated new CRC prognostic markers and offered new insights for CRC prognosis and treatment. CRC-related data and IL gene data were collected from public databases. Sample clustering was done with the NMF package to divide samples into different subtypes. Differential, enrichment, survival, and immune analyses were conducted on subtypes. A prognostic model was constructed using regression analysis. Drug sensitivity analysis was performed using GDSC database. Western blot analysis was performed to assess the effect of IL-7 on the JAK/STAT signaling pathway. Flow cytometry was used to examine the impact of IL-7 on CD8+ T cell apoptosis. Two CRC subtypes based on IL-associated genes were obtained. Cluster 1 had a higher survival rate than cluster 2, and they showed differences in some immune levels. The two clusters were mainly enriched in the JAK-STAT signaling pathway, T helper 17 cell differentiation, and the IL-17 signaling pathway. An 11-gene signature was built, and risk score was an independent prognosticator for CRC. The low-risk group showed a higher sensitivity to nine common targeted anticancer drugs. Western blot and flow cytometry results demonstrated that IL-7 could phosphorylate STAT5 and promote survival of CD8+ T cells. In conclusion, this study divided CRC samples into two IL-associated subtypes and obtained an 11-gene signature. In addition, targeted drugs that may improve the prognosis of patients with CRC were identified. These findings are of paramount importance for patient prognosis and CRC treatment.NEW & NOTEWORTHY We identified two clusters with significant survival differences in colorectal cancer (CRC) based on interleukin-related genes, constructed an 11-gene risk score model that can independently predict the prognosis of CRC, and explored some targeted drugs that may improve the prognosis of patients with CRC. The results of this study have important implications for the prognosis and treatment of CRC.

DNA conformational dynamics in the context-dependent non-CG CHH methylation by plant methyltransferase DRM2.

DNA methylation provides an important epigenetic mechanism that critically regulates gene expression, genome imprinting, and retrotransposon silencing. In plants, DNA methylation is prevalent not only in a CG dinucleotide context but also in non-CG contexts, namely CHG and CHH (H = C, T, or A) methylation. It has been established that plant non-CG DNA methylation is highly context dependent, with the +1- and +2-flanking sequences enriched with A/T nucleotides. How DNA sequence, conformation, and dynamics influence non-CG methylation remains elusive. Here, we report structural and biochemical characterizations of the intrinsic substrate preference of DOMAINS REARRANGED METHYLTRANSFERASE 2 (DRM2), a plant DNA methyltransferase responsible for establishing all cytosine methylation and maintaining CHH methylation. Among nine CHH motifs, the DRM2 methyltransferase (MTase) domain shows marked substrate preference toward CWW (W = A or T) motifs, correlating well with their relative abundance in planta. Furthermore, we report the crystal structure of DRM2 MTase in complex with a DNA duplex containing a flexible TpA base step at the +1/+2-flanking sites of the target nucleotide. Comparative structural analysis of the DRM2-DNA complexes provides a mechanism by which flanking nucleotide composition impacts DRM2-mediated DNA methylation. Furthermore, the flexibility of the TpA step gives rise to two alternative DNA conformations, resulting in different interactions with DRM2 and consequently temperature-dependent shift of the substrate preference of DRM2. Together, this study provides insights into how the interplay between the conformational dynamics of DNA and temperature as an environmental factor contributes to the context-dependent CHH methylation by DRM2.

A multimodal atlas of hepatocellular carcinoma reveals convergent evolutionary paths and 'bad apple' effect on clinical trajectory.

BACKGROUND & AIMS: Hepatocellular Carcinoma (HCC) is a highly fatal cancer characterized by high intra-tumor heterogeneity (ITH). A panoramic understanding of its tumor evolution, in relation to its clinical trajectory, may provide novel prognostic and treatment strategies. METHODS: Through the Asia-Pacific Hepatocellular Carcinoma (AHCC) trials group (NCT03267641), we recruited one of the largest prospective cohorts of HCC with over 600 whole genome and transcriptome samples from 123 treatment-naïve patients. RESULTS: Using a multi-region sampling approach, we revealed seven convergent genetic evolutionary paths governed by the early driver mutations, late copy number variations and viral integrations, which stratify patient clinical trajectories after surgical resection. Furthermore, such evolutionary paths shaped the molecular profiles, leading to distinct transcriptomic subtypes. Most significantly, although we found the coexistence of multiple transcriptomic subtypes within certain tumors, patient prognosis was best predicted by the most aggressive cell fraction of the tumor, rather than by overall degree of transcriptomic ITH level - a phenomenon we termed the 'bad apple' effect. Finally, we found that characteristics throughout early and late tumor evolution provide significant and complementary prognostic power in predicting patient survival. CONCLUSIONS: Taken together, our study generated a comprehensive landscape of evolutionary history for HCC and provided a rich multi-omics resource for understanding tumor heterogeneity and clinical trajectories. CLINICAL TRIAL NUMBER: NCT03267641 (Observational cohort) IMPACT AND IMPLICATIONS: This prospective study, utilizing comprehensive multi-sector, multi-omics sequencing and clinical data from surgically resected HCC, reveals critical insights into the role of tumor evolution and intra-tumor heterogeneity (ITH) in determining the prognosis of Hepatocellular Carcinoma (HCC). These findings are invaluable for oncology researchers and clinicians, as they underscore the influence of distinct evolutionary paths and the 'bad apple' effect, where the most aggressive tumor fraction dictates disease progression. These insights not only enhance prognostic accuracy post-surgical resection but also pave the way for developing personalized therapies tailored to specific tumor evolutionary and transcriptomic profiles. The co-existence of multiple sub-types within the same tumor prompts a re-appraisal of the utilities of depending on single samples to represent the entire tumor and suggests the need for clinical molecular imaging. This research thus marks a significant step forward in the clinical understanding and management of HCC, underscoring the importance of integrating tumor evolutionary dynamics and multi-omics biomarkers into therapeutic decision-making.

The dynamics of B-cell reconstitution post allogeneic hematopoietic stem cell transplantation: A real-world study.

BACKGROUND: The immune reconstitution after allogeneic hematopoietic stem cell transplantation (allo-HSCT) is crucial for preventing infections and relapse and enhancing graft-versus-tumor effects. B cells play an important role in humoral immunity and immune regulation, but their reconstitution after allo-HSCT has not been well studied. METHODS: In this study, we analyzed the dynamics of B cells in 252 patients who underwent allo-HSCT for 2 years and assessed the impact of factors on B-cell reconstitution and their correlations with survival outcomes, as well as the development stages of B cells in the bone marrow and the subsets in the peripheral blood. RESULTS: We found that the B-cell reconstitution in the bone marrow was consistent with the peripheral blood (p = 0.232). B-cell reconstitution was delayed by the male gender, age >50, older donor age, the occurrence of chronic and acute graft-versus-host disease, and the infections of fungi and cytomegalovirus. The survival analysis revealed that patients with lower B cells had higher risks of death and relapse. More importantly, we used propensity score matching to obtain the conclusion that post-1-year B-cell reconstitution is better in females. Meanwhile, using mediation analysis, we proposed the age-B cells-survival axis and found that B-cell reconstitution at month 12 posttransplant mediated the effect of age on patient survival (p = 0.013). We also found that younger patients showed more immature B cells in the bone marrow after transplantation (p = 0.037). CONCLUSION: Our findings provide valuable insights for optimizing the management of B-cell reconstitution and improving the efficacy and safety of allo-HSCT.

Coordinating caffeic acid and salvianic acid A pathways for efficient production of rosmarinic acid in Escherichia coli.

Rosmarinic acid is a natural hydroxycinnamic acid ester used widely in the food and pharmaceutical industries. Although many attempts have been made to screen rate-limiting enzymes and optimize modules through co-culture fermentation, the titer of rosmarinic acid remains at the microgram level by microorganisms. A de novo biosynthetic pathway for rosmarinic acid was constructed based on caffeic acid synthesis modules in Escherichia coli. Knockout of competing pathways increased the titer of rosmarinic acid and reduced the synthesis of rosmarinic acid analogues. An L-amino acid deaminase was introduced to balance metabolic flux between the synthesis of caffeic acid and salvianic acid A. The ratio of FADH2/FAD was maintained via the coordination of deaminase and HpaBC, which is responsible for caffeic acid synthesis. Knockout of menI, encoding an endogenous thioesterase, increased the stability of caffeoyl-CoA. The final strain produced 5780.6 mg/L rosmarinic acid in fed-batch fermentation, the highest yet reported for microbial production. The strategies applied in this study lay a foundation for the synthesis of other caffeic acid and rosmarinic acid derivatives.

Multi-region sampling with paired sample sequencing analyses reveals sub-groups of patients with novel patient-specific dysregulation in Hepatocellular Carcinoma.

BACKGROUND: Conventional differential expression (DE) testing compares the grouped mean value of tumour samples to the grouped mean value of the normal samples, and may miss out dysregulated genes in small subgroup of patients. This is especially so for highly heterogeneous cancer like Hepatocellular Carcinoma (HCC). METHODS: Using multi-region sampled RNA-seq data of 90 patients, we performed patient-specific differential expression testing, together with the patients' matched adjacent normal samples. RESULTS: Comparing the results from conventional DE analysis and patient-specific DE analyses, we show that the conventional DE analysis omits some genes due to high inter-individual variability present in both tumour and normal tissues. Dysregulated genes shared in small subgroup of patients were useful in stratifying patients, and presented differential prognosis. We also showed that the target genes of some of the current targeted agents used in HCC exhibited highly individualistic dysregulation pattern, which may explain the poor response rate. DISCUSSION/CONCLUSION: Our results highlight the importance of identifying patient-specific DE genes, with its potential to provide clinically valuable insights into patient subgroups for applications in precision medicine.

Et4NCl-Promoted Electrochemical Atherton-Todd Type Reaction to Construct P(O)-F Bonds.

An electrochemical synthetic strategy to construct P(O)-F bonds was developed via the Atherton-Todd reaction. Promoted by Et4NCl, a series of biologically active phosphoric fluorides were synthesized by use of commercially available P(O)-H feedstocks and Et3N·3HF as the F-source. With this protocol, some potentially functional P(O)-OR and P(O)-SR motifs could also be smoothly forged. This sustainable fluorination approach features step-economy, is chemical-oxidant- and metal-catalyst-free, and offers low cost and mild conditions. Additionally, cyclic voltammetry and control experiments were conducted to propose a reasonable mechanism.

Caffeic acid protects against atherosclerotic lesions and cognitive decline in ApoE-/- mice.

Caffeic acid has been indicated to benefit cholesterol balance, but the effect of pure caffeic acid on atherosclerosis in vivo has not been tested. Given that atherosclerosis and Alzheimer's disease share common features including distracted lipid balance and chronic inflammation, the concurrent effects of caffeic acid on atherosclerotic lesions and cognitive decline were explored here by using the ApoE-/- mice model. A two months' administration of 20 mg/kg caffeic acid or saline was given once two days intraperitoneally to 5-month-old female ApoE-/- mice. We found that the caffeic acid treatment reduced the atherosclerotic lesions in the whole aorta and aortic sinus of the resulting 7-month-old ApoE-/- mice by roughly 50%, compared with the saline control. Meanwhile, the cognitive decline of treated mice were significantly alleviated, as measured by Y-maze and Morris water maze tasks. A reduced accumulation of ß-amyloid in the hippocampus was also observed. These effects were associated with elevated serum HDL-c concentration, upregulated ABCA1 and ABCG1 mRNA levels, as well as decrease local inflammation and reduced levels of serum pro-inflammatory cytokines including TNF-α, IL-6 and MCP-1. These obtained results suggested the preventive and therapeutic potential of caffeic acid against atherosclerosis and Alzheimer's disease during aging.

Correction: Mixing behavior of p-terphenyl-3,5,3',5'-tetracarboxylic acid with trimesic acid at the solid-liquid interface.

Correction for 'Mixing behavior of p-terphenyl-3,5,3',5'-tetracarboxylic acid with trimesic acid at the solid-liquid interface' by Wei Li et al., Phys. Chem. Chem. Phys., 2021, 23, 25896-25900, https://doi.org/10.1039/D1CP04770A.

Impact of family functioning on mental health problems of college students in China during COVID-19 pandemic and moderating role of coping style: a longitudinal study.

BACKGROUND: During the COVID-19 pandemic, college students were required to stay at home and maintain social distance for the entire spring semester of 2020. There is little research on how family functioning influenced mental health problems and how coping styles moderated the relationship between family functioning and mental health problems among college students during their stay-at-home period. METHODS: A total of 13,462 college students (age = 16-29 years) completed four online surveys between February and October 2020, namely the outbreak phase, remission phase, online study phase, and school reopening phase in Guangdong Province, China. Family functioning was assessed by the Family APGAR; coping styles were assessed by the Simplified Coping Style Questionnaire (SCSQ), depression symptoms and anxiety symptoms were evaluated by the Patient Health Questionnaire (PHQ-9) and the Generalized Anxiety Disorder Scale (GAD-7) respectively. Generalized estimating equations were used to assess associations between variables, the logit link function was used to estimate the odds ratio of different subgroups, the Newton-Raphson method was used to estimate parameters, and the Wald test was used to test the main effect and the interaction effect. RESULTS: The incidence rates of depression increased during the stay-at-home period from 33.87%, 95% CI (29.88%, 38.10%) to 40.08% 95% CI (35.76%, 44.55%) after schools reopened, χ2 = 193.68, p < 0.001. The incidence rates of anxiety increased from 17.45%, 95% CI (14.59%, 20.73%) to 26.53%, 95% CI (16.94%, 23.67%) over the entire period, χ2 = 195.74, p < 0.001. The percentages of students with highly functional, moderately dysfunctional and severely dysfunctional family functioning were 48.23%, 43.91 and 7.86% at T1 and 46.20%, 45.28%, and 8.52 at T4, respectively. The percentage of subjects with active coping style was 23.9%, negative coping style was 17.4%, strong response coping was 26.9%, and weak response coping was 31.7%. The incidence rate of depression and anxiety for different family functioning groups varied at different time points, and the interaction effect was significant (χ2 = 52.97, p < 0.001 and χ2 = 51.25, p < 0.001, respectively). The incidence rate of depression and anxiety for different family functioning groups with different coping styles also varied at different time points, the interaction effect was likewise significant (χ2 = 862.09, p < 0.001 and χ2 = 583.29, p < 0.001, respectively). CONCLUSIONS: Having a severely dysfunctional family and a negative coping style increase the incidence rates of depression and anxiety. These findings highlight the importance of paying special attention to college students' family functioning and promoting appropriate coping strategies during and after COVID-19.

Electrochemical Heteroatom-Heteroatom Bond Construction.

Heteroatom-heteroatom linkage, with S-S bond as a presentative motif, served a crucial role in biochemicals, pharmaceuticals, pesticides, and material sciences. Thus, preparation of the privileged scaffold has always been attracting tremendous attention from the synthetic community. However, classic protocols suffered from several drawbacks, such as toxic and unstable agents, poor functional group tolerance, multiple steps, and explosive oxidizing regents as well as the transitional metal catalysts. Electrochemical organic synthesis exhibited a promising alternative to the traditional chemical reaction due to the sustainable electricity can be employed as the traceless redox agents. Hence, toxic and explosive oxidants and/or transitional metals could be discarded under mild reaction with high efficiency. In this context, a series of electrochemical approaches for the construction of heteroatom-heteroatom bond were reviewed. Notably, most of the cases illustrated the dehydrogenative feature with the clean energy molecules hydrogen as the sole by-product.

Prevalence and associated factors of suicidal ideation among college students during the COVID-19 pandemic in China: a 3-wave repeated survey.

OBJECTIVE: The coronavirus disease 2019 (COVID-19) pandemic, a major public health crisis, harms individuals' mental health. This 3-wave repeated survey aimed to examine the prevalence and correlates of suicidal ideation at different stages of the COVID-19 pandemic in a large sample of college students in China. METHODS: Using a repeated cross-sectional survey design, we conducted 3 online surveys of college students during the COVID-19 pandemic at 22 universities in Guandong, China. The 3 surveys were conducted during the outbreak period (T1: 3 February to 10 February 2020, N = 164,101), remission period (T2: 24 March to 3 April 2020, N = 148,384), and normalized prevention and control period (T3: 1 June to 15 June 2020, N = 159,187). Suicidal ideation was measured by the ninth item of the Patient Health Questionnaire-9. A range of suicide-related factors was assessed, including sociodemographic characteristics, depression, anxiety, insomnia, pre-existing mental health problems, and COVID-19-related factors. RESULTS: The prevalence of suicidal ideation was 8.5%, 11.0% and 12.6% at T1, T2, and T3, respectively. Male sex (aOR: 1.35-1.44, Ps < 0.001), poor self-perceived mental health (aOR: 2.25-2.81, Ps < 0.001), mental diseases (aOR: 1.52-2.09, P < 0.001), prior psychological counseling (aOR: 1.23-1.37, Ps < 0.01), negative perception of the risk of the COVID-19 epidemic (aOR: 1.14-1.36, Ps < 0.001), depressive symptoms (aOR: 2.51-303, Ps < 0.001) and anxiety symptoms (aOR: 1.62-101.11, Ps < 0.001) were associated with an increased risk of suicidal ideation. CONCLUSION: Suicidal ideation appeared to increase during the COVID-19 pandemic remission period among college students in China. Multiple factors, especially mental health problems, are associated with suicidal ideation. Psychosocial interventions should be implemented during and after the COVID-19 pandemic to reduce suicide risk among college students.

Trifluoperazine Synergistically Potentiates Bortezomib-Induced Anti-Cancer Effect in Multiple Myeloma via Inhibiting P38 MAPK/NUPR1.

Multiple myeloma (MM) is a common hematological malignancy. Bortezomib (BTZ) is a traditional medicine for MM treatment, but there are limitations for current treatment methods. Trifluoperazine (TFP) is a clinical drug for acute and chronic psychosis therapy. Lately, researchers have found that TFP can suppress tumor growth in many cancers. We attempted to study the effects of BTZ and TFP on MM in vivo and in vitro. We concentrated on the individual and combined impact of BTZ and TFP on the proliferation and apoptosis of MM cells via Cell Counting kit-8 assay, EdU assay, western blot, and flow cytometry. We found that combination therapy has a strong synergistic impact on MM cells. Combination therapy could induce cell arrest during G2/M phase and induce apoptosis in MM cells. Meanwhile, BTZ combined with TFP could play a better role in the anti-MM effect in vivo through MM.1s xenograft tumor models. Furthermore, we explored the mechanism of TFP-induced apoptosis in MM, and we noticed that TFP might induce MM apoptosis by inhibiting p-P38 MAPK/NUPR1. In summary, our findings suggest that TFP could synergistically enhance the BTZ-induced anti-cancer effect in multiple myeloma, which might be a promising therapeutic strategy for MM treatment.

Estimation of Large-Dimensional Covariance Matrices via Second-Order Stein-Type Regularization.

This paper tackles the problem of estimating the covariance matrix in large-dimension and small-sample-size scenarios. Inspired by the well-known linear shrinkage estimation, we propose a novel second-order Stein-type regularization strategy to generate well-conditioned covariance matrix estimators. We model the second-order Stein-type regularization as a quadratic polynomial concerning the sample covariance matrix and a given target matrix, representing the prior information of the actual covariance structure. To obtain available covariance matrix estimators, we choose the spherical and diagonal target matrices and develop unbiased estimates of the theoretical mean squared errors, which measure the distances between the actual covariance matrix and its estimators. We formulate the second-order Stein-type regularization as a convex optimization problem, resulting in the optimal second-order Stein-type estimators. Numerical simulations reveal that the proposed estimators can significantly lower the Frobenius losses compared with the existing Stein-type estimators. Moreover, a real data analysis in portfolio selection verifies the performance of the proposed estimators.

Longitudinal changes in fear and anxiety among Chinese college students during the COVID-19 pandemic: a one-year follow-up study.

There is growing evidence that levels of fear and anxiety have increased during the COVID-19 pandemic. However, given regular epidemic prevention and control measures, longitudinal changes and causal factors in the incidence of fear and anxiety need to be measured and explored. College students completed online surveys in two wave studies a year apart. The participants who completed both of the surveys numbered 22,578. The online surveys were completed at the pandemic's normalization/prevention stage (T1, from June 1 to 15, 2020) and during a phase of new local transmission of the disease in Guangdong Province (T2, from June 10 to 18, 2021). Multiple linear regressions were used to examine fear and anxiety predictors from demographic characteristics. Fear related to COVID-19 had significantly decreased at T2 (t = 66.64, p < 0.001), however, anxiety had significantly increased at T2 (t = -5.03, p < 0.001). In particular, not implementing preventive measures (e.g., handwashing) during the COVID-19 pandemic had the greatest impact in predicting the change in fear levels. By contrast, prior poor mental health status contributed the most in predicting the change in degree of anxiety. These results suggest different changes in anxiety levels (deterioration) and degree of fear (mitigation) occurred as the COVID-19 pandemic progressed. These findings have implications for planning mental health crisis provisions and have long-term impact beyond this pandemic.

Prevalence and associated factors of depression, anxiety and suicidality among Chinese high school E-learning students during the COVID-19 lockdown.

BACKGROUND: The outbreak of Coronavirus disease (COVID-19) in 2019 and the resulting quarantine may have increased the prevalence of mental health problems in adolescents. The aim of this study was to explore the association between the effects of home-based learning during the pandemic and the risks of depression, anxiety, and suicidality among junior and senior high school students. METHODS: An online survey using Patient Health Questionnaire (PHQ-9) and Generalized Anxiety Disorder (GAD-7) was conducted between 12 to 30 April 2020, on a total of 39,751 students. Multivariable logistic regression analysis was used to analyze the risk factors of associated depression, anxiety and suicidality during the pandemic. RESULTS: Prevalence of depression, anxiety symptoms and suicidality found was 16.3% (95% CI: 16.0, 16.7), 10.3% (95% CI: 10.0, 10.6) and 20.3% (95% CI: 19.9, 20.7), respectively. Participants with female gender and in junior high school, with poor overall sleep quality and poor academic performance and very worried about being infected during COVID-19 were highly associated with the risk of depression, anxiety symptoms and suicidal ideation (all P<0.001). CONCLUSIONS: Prevalence of self-reported mental health problems for adolescents using home-based distance learning was high. Implementing measures (e.g., wearing face masks) and spending only moderate time focusing on COVID-19-related information could be protective factors for mental health. These results provide suggestions for teachers and policy makers regarding adolescent improving sleep quality (sufficient sleep) and academic performance and reducing worry about pandemic during quarantine to prevent mental health problems.

Knockdown of lncRNA TUG1 suppresses corneal angiogenesis through regulating miR-505-3p/VEGFA.

OBJECTIVES: Vascular endothelial growth factor A (VEGFA) is one of the major factors initiating and regulating angiogenesis. LncRNA taurine up-regulated gene 1 (TUG1) has been implicated in the pathological neovascularization. The aim of this study is to explore the function of TUG1 in regulating VEGFA-mediated angiogenesis in endothelial cells. METHODS: A total of 12 corneal neovascularization (CRNV) samples were collected form patient undergoing corneal transplantation at Tongji Hospital, Wuhan, China. qRT-PCR and Western blotting were performed to examine gene expression and protein levels. Human umbilical vein endothelial cells (HUVECs) were used as an in vitro angiogenesis model. CCK-8 proliferation assay was used to determine cell proliferation capacity and wound healing was performed to analyze cell migration ability. Dual luciferase reporter assay was used for functional interaction validation between miR-505-3p and its targets. The in vitro angiogenic potential was evaluated by tube formation assay. RESULTS: TUG1 and VEGFA were upregulated in CRNV tissues and VEGFA-treated HUVECs. TUG1 knockdown inhibited proliferation, migration and tube formation capacity of HUVECs. TUG1 regulated the angiogenesis of HUVECs by modulating VEGFA expression through targeting miR-505-3p. CONCLUSIONS: Our results suggest that lncRNA TUG1 promotes the angiogenesis of HUVECs through modulating miR-505-3p/VEGFA axis.

Directing Group Enables Electrochemical Selectively Meta-Bromination of Pyridines under Mild Conditions.

Without the use of catalysts and oxidants, a facile and sustainable electrochemical bromination protocol was developed. By introducing the directing groups, the regioselectivity of pyridine derivatives could be controlled at the meta-position utilizing the inexpensive and safe bromine salts at room temperature. A variety of brominated pyridine derivatives were obtained in 28-95% yields, and the reaction could be readily performed at a gram scale. By combining the installation and removing the directing group, the concept of meta-bromination of pyridines could be verified.

Mixing behavior of p-terphenyl-3,5,3',5'-tetracarboxylic acid with trimesic acid at the solid-liquid interface.

The molecular self-assembly of carboxylic acid molecules on a solid surface plays an important role in understanding the nanoscale-precision construction of functional patterns. In this study, the mixing behavior of p-terphenyl-3,5,3',5'-tetracarboxylic acid (TPTC) and trimesic acid (TMA) on a highly oriented pyrolytic graphite surface was studied by scanning tunneling microscopy (STM). The STM images show how the presence of a small percentage of TPTC molecules adsorbed onto TMA molecules can drastically change the on-surface self-assembly behavior of aromatic tetracarboxylic acid by initiating the nucleation and growth of a different polymorph. Molecular mechanics and density functional theory simulations of the adsorption energy and the additional stabilizing energy, induced by hydrogen bonds during assembly formations, provide insights into the relative stability of different assembled structures. Moreover, STM-based "nanoshaving" was conducted to confirm that the template layer underneath the second layer is indeed a random network.

Diversity of protease-producing bacteria in the soils of the South Shetland Islands, Antarctica.

Proteases secreted from bacteria into soil play a key role in the degradation of organic nitrogen, which is the first and, usually, the rate-limiting step of nitrogen cycling. However, the diversity of protease-producing bacteria and their excreted proteases in Antarctic soil have not yet been fully explored. Here we studied 20 soil samples from the South Shetland Islands, Antarctica and isolated 253 strains with protease activity. These protease-producing bacteria belonged to the phyla Bacteroidetes, Proteobacteria, Actinobacteria, Firmicutes, and Deinococcus-Thermus. Thhe predominant genera were Arthrobacter (14.9%), Chryseobacterium (14.5%), Flavobacterium (14.5%), and Pseudomonas (14.5%). Most of these bacteria secreted serine proteases and metalloproteases. There was quite a large distribution in activity as quantified by protease and inhibition assays. Only a few strains secreted aspartic and/or cysteine proteases. Together these data provided novel insight into the diversity and mechanism of organic nitrogen degradation in Antarctic soils by various proteases, which may have potential in new biotechnological applications.