The source of secondary lower respiratory tract bacterial infections in influenza patients is not fully understood. A case–control study was conducted during the 2017–2018 influenza epidemic period in Beijing, China. Nasopharyngeal swabs were collected from 52 virologically confirmed influenza patients and 24 healthy medical staff. The nasopharyngeal microbiota taxonomic composition was analysed using high-throughput sequencing of the 16S rRNA gene V3–V4 regions. The super-dominant pathobiontic bacterial genus (SDPG) was defined as that accounting for >50%...

Additional file 1.

Additional file 1: TableS1 Comparison of GMV volume between two groups.

Additional file 4: Fig. S1. Expressed lncRNAs in two crosses.

Additional file 5: Fig. S2. Expression levels of lncRNAs and PCgenes in sunflower endosperm.

Additional file 7: Fig. S4. DNA methylation profiles of protein-coding genes (PCgenes) in sunflower endosperm from SY1.

Supplemental material, sj-docx-1-wmr-10.1177_0734242X221129054 for Thermal degradation and combustion properties of most popular synthetic biodegradable polymers by Hongmei Chen, Fengyi Chen, Hui Chen, Hongsheng Liu, Ling Chen and Long Yu in Waste Management & Research

Additional file 4: Table S2. Probes sequences targeting NUP188 and PDXDC1 in MLPA. GAPDH served as a internal control

Additional file 4: Table S2. Probes sequences targeting NUP188 and PDXDC1 in MLPA. GAPDH served as a internal control

Additional file 7: Table S3. Primers used for Sanger sequencing for TTC21B and TTC12 variants that identified from WES analyzes

Additional file 7: Table S3. Primers used for Sanger sequencing for TTC21B and TTC12 variants that identified from WES analyzes

Additional file 1: Figure S1. Schematic diagram of the workflow for screening pathogenic mutations.

Additional file 1. A Body weight of CIA rats. B Arthritis index of CIA rats (* P-value < 0.05).

Supplemental material, sj-docx-3-his-10.1177_11786329221134352 for Gaps in the Utilization of Community Health Services for the Elderly Population in Rural Areas of Mainland China: A Systematic Review Based on Cross-Sectional Investigations by Shanshan Deng, Chenchen Zhang, Xing Guo, Hekai Lv, Yanyan Fan, Zhuoxin Wang, Dan Luo, Xiaoxia Duan, Xinying Sun and Fuzhi Wang in Health Services Insights

Ischemia-induced angiogenesis is critical for blood flow restoration and tissue regeneration, but the underlying molecular mechanism is not fully understood. ATG7 (autophagy related 7) is essential for classical degradative macroautophagy/autophagy and cell cycle regulation. However, whether and how ATG7 influences endothelial cell (EC) function and regulates post-ischemic angiogenesis remain unknown. Here, we showed that in mice subjected to femoral artery ligation, EC-specific deletion of Atg7 significantly impaired angiogenesis, delayed the recovery of blood flow reperfusion,...

To better understand the diversity and phylogeny of Nemouridae, we sequenced and annotated the complete mitochondrial genome (mitogenome) of Nemoura longicercia Okamoto, 1922. The entire mitochondrial genome of N. longicercia was 15,728 bp. It contained 37 representative genes (22 transfer RNA genes (tRNAs), 13 protein-coding genes (PCGs), and two ribosomal RNA genes (rRNAs)) and a control region. In this genome, 23 genes were found on the heavy strand (H-strand) and 14 genes were on the...

Verify the applicability of three-level simulation to BDFA through experiments

Supplementary Material

Supporting information

Additional file 2: Figure S2. Genes in M2 modules. M2 module of DEGs was identified using Molecular Complex Detection (MCODE) plug-in in Cytoscape. Genes in red indicate upregulated genes, while genes in blue indicate downregulated genes in the malaria-infected group compared to the noninfected group.

Additional file 4: Figure.S4. GO enrichment of highly conserved modules between noninfected groups of GSE117613 and GSE34404 datasets analysed by multicohort WGCNA. A, GO enrichment of red module. B, GO enrichment of green module. 'Gene ratio' is the percentage of total DEGs in the given GO term. The size of the dots represents the number of genes in DEGs associated with the GO term and the colour of the dots represents the P-adjusted values.

Additional file 5: FigureS5. GO enrichment of highly conserved modules between malaria-infected groups of GSE117613 and GSE34404 datasets analysed using multicohort WGCNA. A, GO enrichment of blue module. B, GO enrichment of turquoise module. C, GO enrichment of brown module. D, GO enrichment of yellow module. 'Gene ratio' is the percentage of total DEGs in the given GO term. The size of the dots represents the number of genes in DEGs associated with the GO...

Additional file 5: FigureS5. GO enrichment of highly conserved modules between malaria-infected groups of GSE117613 and GSE34404 datasets analysed using multicohort WGCNA. A, GO enrichment of blue module. B, GO enrichment of turquoise module. C, GO enrichment of brown module. D, GO enrichment of yellow module. 'Gene ratio' is the percentage of total DEGs in the given GO term. The size of the dots represents the number of genes in DEGs associated with the GO...

Additional file 8: Figure S8. Immunophenotyping of whole-blood samples in the mild and severe malaria group in GSE35858 datasets based on ssGSEA. The ssGSEA scores (enrichment level) were compared between the mild malaria group and severe malaria group in each dataset. The statistical analyses were performed using the unpaired t-test. * p<0.05, ** p<0.01, *** p<0.001.

Additional file 8: Figure S8. Immunophenotyping of whole-blood samples in the mild and severe malaria group in GSE35858 datasets based on ssGSEA. The ssGSEA scores (enrichment level) were compared between the mild malaria group and severe malaria group in each dataset. The statistical analyses were performed using the unpaired t-test. * p<0.05, ** p<0.01, *** p<0.001.