The growth stage best suitable for wheat yield phenotyping has been a hot topic. This study provides a fresh insight into it, from the perspective of spectral correlation between wheat genotype replications. A number of 340 wheat genotypes and their replication were distributed in separate parts (west and east) of an experiment field (2019–2020) in Ashland, Kansas, USA. Unmanned aerial vehicle based hyperspectral images (400–100 nm) of the experiment field were taken over the late...

Abstract Background Cuproptosis, a newly discovered mode of cell death, has been less studied in hepatocellular carcinoma (HCC). Exploring the molecular characteristics of different subtypes of HCC based on cuproptosis-related genes (CRGs) is meaningful to HCC. In addition, immunotherapy plays a pivotal role in treating HCC. Exploring the sensitivity of immunotherapy and building predictive models are critical for HCC. Methods The 357 HCC samples from the TCGA database were classified into three subtypes, Cluster 1,...

Additional file 1: Figure S1. Epidemic trajectory, vaccine uptake, and clinical severity of Hong Kong SAR’s Omicron wave. Figure S2. Vaccinations uptake by age in Hong Kong SAR, China, mainland China and New Zealand. Figure S3. Population immunity levels in the baseline immunization scenario and the enhanced immunization scenarios. Figure S4. The observed epidemic growth rate and effective reproduction numbers with baseline interventions in the early stage of the two recent outbreaks in mainland China....

Abstract Background The SARS-CoV-2 containment strategy has been successful in mainland China prior to the emergence of Omicron. However, in the era of highly transmissible variants, whether it is possible for China to sustain a local containment policy and under what conditions China could transition away from it are of paramount importance at the current stage of the pandemic. Methods We developed a spatially structured, fully stochastic, individual-based SARS-CoV-2 transmission model to evaluate the feasibility...

Additional file 17: Table S12. Difference in physiological indices of gut microbiota between the Con and F-LD groups, Con and F-SD groups, Ab and F-LD groups, and Ab and F-SD groups in the FMT experiment.

Additional file 18: Table S13. Difference in alpha diversity of gut microbiota between the Con and Ab groups, Con and F-LD groups, Con and F-SD groups, Ab and F-LD groups, Ab and F-SD groups, and F-LD and F-SD groups in the FMT experiment.

Additional file 1: Figure S1. Diversity and composition of gut microbiota in the LD and SD groups of Brandt’s voles.

Additional file 21. Rcode.R.

Additional file 3: Figure S3. Differences in body mass, food intake, and behavior patterns between the control groups and the fecal microbiota transplantation (FMT) groups.

Additional file 6: Table S1. Information on gene primers of Brandt's voles.

ABSTRACT Introduction Soccer games are of long duration and more confrontational; in the second half of the game, many players have a decline in their physical level, leading to loss of matches. Objective To explore the effect of weight training on lower limb fitness in soccer players. Methods 60 athletes were included as subjects and randomly divided into control group, weight training group, and traditional physical fitness training group. All athletes trained for 45 minutes...

Additional file 1.

Supplemental Material for Contribution of School and Family Factors to Racial Disparities in Bullying Involvement by Sabina Low, PhD and Lin Liu, PhD in The Journal of Early Adolescence

Additional file 3: Figure S3. Cytokine production in SIGIRR-positive or SIGIRR-negative memory CD4 T cells of patients with RA and the healthy population. Related to Fig. 2. (A-B), Memory CD4 T cells were identified as CD4 + CD45RO + CD45RA − previously gated on single live (FVS780 −) lymphocytes (FSC low SSC low). Representative flow cytometry contour plots for intracellular cytokine production among SIGIRR+ memory CD4 T cells in healthy and RA cohorts (n =...

Additional file 6: Figure S6. Gating strategy used to sort naïve CD4 T cells by flow cytometry. After performing cell surface staining with anti-CD4, CD25, CD62L and CD44 antibodies conjugated with fluorescein, naïve CD4 T cells (After) were sorted from splenic suspensions from Sigirr +/+ mice (Before) according to the CD4+ CD25− CD62L+ CD44− strategy among live lymphocytes.

Supplemental material, sj-pdf-1-wso-10.1177_17474930221140792 for Human blood metabolites and lacunar stroke: A Mendelian randomization study by Meng-Nan Guo, Xiao-Yan Hao, Jie Tian, Yun-Chao Wang, Jia-Di Li, Yu Fan, Jing-Jing Shi, Dong-Rui Ma, Shuang-Jie Li, Chun-Yan Zuo, Yuan-Yuan Liang, Meng-Jie Li, Si Shen, Fen Liu, Da-Bao Yao, Yu-Ming Xu and Chang-He Shi in International Journal of Stroke

Supplemental material, sj-pdf-2-wso-10.1177_17474930221140792 for Human blood metabolites and lacunar stroke: A Mendelian randomization study by Meng-Nan Guo, Xiao-Yan Hao, Jie Tian, Yun-Chao Wang, Jia-Di Li, Yu Fan, Jing-Jing Shi, Dong-Rui Ma, Shuang-Jie Li, Chun-Yan Zuo, Yuan-Yuan Liang, Meng-Jie Li, Si Shen, Fen Liu, Da-Bao Yao, Yu-Ming Xu and Chang-He Shi in International Journal of Stroke

Additional file 1: Table S1. Characteristics of the cases. Table S2. The list of 118 differential metabolites. Figure S1. The PCA and clustering heat maps of two groups. Fig. A, Cluster map of all samples. Fig. B, Repeated correlation assessment results. Fig. C The volcano map for differential metabolites screening. Figure S2. The out of bag error of random forest model with different number of variables contained in each decision tree. Figure S3. The out...

Two new open-chain cytochalasins, xylarchalasins A and B (1 and 2), together with six known analogues (3-8), were isolated from the endophytic fungus Xylaria sp. GDGJ-77B from the Chinese medicinal plant Sophora tonkinensis. Their structures were elucidated on the basis of comprehensive spectroscopic analysis. Compound 2 displayed moderate antibacterial activities against Bacillus subtilis and Escherichia coli with MIC values of 25 and 12.5 μg/mL, respectively.

Two new open-chain cytochalasins, xylarchalasins A and B (1 and 2), together with six known analogues (3-8), were isolated from the endophytic fungus Xylaria sp. GDGJ-77B from the Chinese medicinal plant Sophora tonkinensis. Their structures were elucidated on the basis of comprehensive spectroscopic analysis. Compound 2 displayed moderate antibacterial activities against Bacillus subtilis and Escherichia coli with MIC values of 25 and 12.5 μg/mL, respectively.

Additional file 1: Supplementary Methods. Table S1. Mappings of ICD-10 and ICD-9 codes to the phenotypes identified by MR-PheWAS at the nominal significance level (p<0.05). Table S2. Information on the FinnGen study and international consortia. Table S3. Search strategy in the PubMed database. TableS4. Characteristics of participants in the UK Biobank (N=339,197). Table S5. Outcomes included in the analyses and outcomes excluded due to power (N<200 cases). Table S6. Phenotypes associated with genetically predicted milk...

Additional file 3.

Additional file 13: Fig. S13. Proteomic subtypes divided early-stage PDAC patients into subtypes with different prognosis, related to Fig. 6. A Summary of the relationship between proteomic subtypes and TNM stage subtypes. B Kaplan-Meier curves for overall survival of early-stage (IA and IB) PDAC patients based on 3 proteomic subtypes (log-rank test). C Bar plot indicating the enriched pathways in early-stage patients who were divided into three proteomic subtypes. D Heatmap of differentially expressed kinase...

Additional file 15: Fig. S15. Protein markers for three PDAC proteomic subtypes, related to Fig. 6. A The boxplot indicating the comparison of tumor purity across the proteomic subtypes. B Heatmap indicating the expression of protein biomarkers in the three proteomic subtypes. C Kaplan-Meier curves for overall survival based on proteomic abundance of ACOX1, S100A4 and MCM6 (log-rank test). D IHC profiling of proteomic subtype markers in PDAC. FFPE sections were stained for ACOX1, S100A4...

Additional file 16: Fig. S16. Characterization of immune infiltration in PDAC, related to Fig. 7. A Boxplot showing the age among five immune clusters. B Heatmap of xCell score between samples in old/young group of TCGA cohort. C Distribution of the percentage of proteomics subtypes across different immune subtypes (Fisher’s exact test). D The Sankey plot revealing the association between proteomics subtypes and immune subtypes. E Kaplan-Meier curves for overall survival based on immune subtypes...