71 Works

Additional file 2 of Characterization of pyruvate metabolism and citric acid cycle patterns predicts response to immunotherapeutic and ferroptosis in gastric cancer

Xu Wang, Bing Xu, Jing Du, Jun Xia, Guojie Lei, Chaoting Zhou, Jiayu Hu, Yinhao Zhang, Sufeng Chen, Fangchun Shao, Jiyun Yang & Yanchun Li
Additional file 2: Figure S2. Consensus clustering analysis of DEGs in GC. (A) The cumulative distribution function (CDF) curves in consensus cluster analysis for cluster numbers k = 2–9. (B) Relative change in the area under the CDF curve from k = 2 to k = 9. (C) The tracking plot for k = 2–9; The vertical axis shows consensus matrix k-value, the horizontal axis represents the GC samples. (D-L) Consensus matrix heat map when...

Additional file 9 of Study on the prognosis, immune and drug resistance of m6A-related genes in lung cancer

Yang Yang, Zhouyao Qian, Mingyang Feng, Weiting Liao, Qiuji Wu, Feng Wen & Qiu Li
Additional file 9. Heatmap of DNA methylation expression levels of DEMGs in LUAD and LUSC by MethSurv platform.

Additional file 4 of Study on the prognosis, immune and drug resistance of m6A-related genes in lung cancer

Yang Yang, Zhouyao Qian, Mingyang Feng, Weiting Liao, Qiuji Wu, Feng Wen & Qiu Li
Additional file 4.The expression level of immune checkpoints in high-risk and low-risk groups.

Additional file 6 of Study on the prognosis, immune and drug resistance of m6A-related genes in lung cancer

Yang Yang, Zhouyao Qian, Mingyang Feng, Weiting Liao, Qiuji Wu, Feng Wen & Qiu Li
Additional file 6. Infiltration of gene expression, overall survival, mutation profile and the comparison of tumor infiltration levels in m6A-related genes with different somatic copy number alterations for LUAD and LUSC in TIMER2.0.

Additional file 5 of Study on the prognosis, immune and drug resistance of m6A-related genes in lung cancer

Yang Yang, Zhouyao Qian, Mingyang Feng, Weiting Liao, Qiuji Wu, Feng Wen & Qiu Li
Additional file 5. Infiltration of gene expression, overall survival, mutation profile and the comparison of tumor infiltration levels in m6A-related genes with different somatic copy number alterations for LUAD and LUSC in TIMER2.0.

Additional file 10 of Study on the prognosis, immune and drug resistance of m6A-related genes in lung cancer

Yang Yang, Zhouyao Qian, Mingyang Feng, Weiting Liao, Qiuji Wu, Feng Wen & Qiu Li
Additional file 10. Overall survival analysis of HPA and validation of gene expressions of 4 hub DEMGs from GSCALite.

Additional file 2 of Target-enriched long-read sequencing (TELSeq) contextualizes antimicrobial resistance genes in metagenomes

Ilya B. Slizovskiy, Marco Oliva, Jonathen K. Settle, Lidiya V. Zyskina, Mattia Prosperi, Christina Boucher & Noelle R. Noyes
Additional file 2: Supplementary Figure 1. Resistome beta-diversity. Non-metric multidimensional scaling ordination plots used to identify differences in resistome beta-diversity at the group level of ARG ontology, across sample types (a): +Abx (black), −Abx (red), FMT (green), and SOIL (blue), as well as according to sample type and sequencing approach (b): −Abx using TELSeq (green); −Abx using PacBio (pink); −Abx using Illumina (black); FMT using TELSeq (magenta); FMT using PacBio (cyan); FMT using Illumina (blue);...

Additional file 4 of Target-enriched long-read sequencing (TELSeq) contextualizes antimicrobial resistance genes in metagenomes

Ilya B. Slizovskiy, Marco Oliva, Jonathen K. Settle, Lidiya V. Zyskina, Mattia Prosperi, Christina Boucher & Noelle R. Noyes
Additional file 4: Supplementary Figure 3. Sequencing coverage for two eukaryotic constituents of MOCK. Sequencing coverage achieved by GridION is indicated in gray, while TELSeq coverage is indicated in tan (2kb library), blue (5kb library) and green (8 kb library). Zoomed-in subsets from select loci of each genome are included for visualization purposes. Log10 relative abundance of each genome in MOCK is displayed beneath the genome name.

Additional file 7 of tRF-3013b inhibits gallbladder cancer proliferation by targeting TPRG1L

Lu Zou, Yang Yang, Biyu Zhou, Weijian Li, Ke Liu, Guoqiang Li, Huijie Miao, Xiaoling Song, Jiahua Yang, Yajun Geng, Maolan Li, Runfa Bao & Yingbin Liu
Additional file 7: Fig S5. TPRG1L promoted GBC cell proliferation. (A) CCK8 assay and (B) colony formation were performed to evaluated proliferation capacity after transfection with vector or TPRG1L. (C) Relative protein expression of TPRG1L, p65, p50, c-myc, CDK2, and p-CDK2 after transfection with vector or TPRG1L. (D) Representative IHC micrographs showing TPRG1L protein expression in GBC tissues with high or low miR-143-3p expression. *P < 0.05, **P < 0.01, ***P < 0.001.

Additional file 1 of Effects of mitochondrial dysfunction on bone metabolism and related diseases: a scientometric study from 2003 to 2022

Wei Zhang, Chang-Liang Xia, Jun-Nan Ma, Jia-Xuan Li, Qi Chen, Shuan-Ji Ou, Yang Yang, Yong Qi & Chang-Peng Xu
Additional file 1: SupplementaryFigure 1. The top 10 cited countrys related to this field.

Large-Scale electron microscopy database for human type 1 diabetes

Pascal de Boer & Nicole M. Pirozzi
Autoimmune β-cell destruction leads to type 1 diabetes, but the pathophysiological mechanisms remain unclear. To help address this void, we created an open-access online repository composed of large-scale electron microscopy images (‘nanotomy’) of human pancreas tissue obtained from the Network for Pancreatic Organ donors with Diabetes (nPOD; www.nanotomy.org). Nanotomy allows analyses of complete donor islets with up to macromolecular resolution. Our first results of mining the database support recent findings that suggest that type 1...

Additional file 1 of The important role of NLRP6 inflammasome in Pasteurella multocida infection

Xingping Wu, Zheng Zeng, Hongliang Tian, Lianci Peng, Dongyi Xu, Yu Wang, Chao Ye, Yuanyi Peng & Rendong Fang
Additional file 1: NLRP6 is involved in the recruitment of macrophages and neutrophils in pulmonary infection with P. multocida. WT and Nlrp6-/- mice were intranasally infected with 20 µL P. multocida (1000 CFU) and the same volume of sterilized PBS were used as control. Flow cytometry was used to analyze the recruitment of neutrophils and macrophages after 24 h infection. (A, B, E, F). Aseptic PBS infection group (control group). (C, D, G, H). P....

Additional file 3 of Characterization of pyruvate metabolism and citric acid cycle patterns predicts response to immunotherapeutic and ferroptosis in gastric cancer

Xu Wang, Bing Xu, Jing Du, Jun Xia, Guojie Lei, Chaoting Zhou, Jiayu Hu, Yinhao Zhang, Sufeng Chen, Fangchun Shao, Jiyun Yang & Yanchun Li
Additional file 3: Figure S3. The correlation of the ferroptosis with P-CA. Heatmap of ferroptosis genes expression among P-CA clusters (A), and gene clusters (B). (C) Differences in the expression of genes related to ferroptosis among the three gene clusters. (The * represents p-value < 0.05, ** represents p-value < 0.01, *** represents p-value < 0.001, and p-value < 0.05 was considered statistically significant).

Additional file 4 of Study on the prognosis, immune and drug resistance of m6A-related genes in lung cancer

Yang Yang, Zhouyao Qian, Mingyang Feng, Weiting Liao, Qiuji Wu, Feng Wen & Qiu Li
Additional file 4.The expression level of immune checkpoints in high-risk and low-risk groups.

Additional file 5 of Study on the prognosis, immune and drug resistance of m6A-related genes in lung cancer

Yang Yang, Zhouyao Qian, Mingyang Feng, Weiting Liao, Qiuji Wu, Feng Wen & Qiu Li
Additional file 5. Infiltration of gene expression, overall survival, mutation profile and the comparison of tumor infiltration levels in m6A-related genes with different somatic copy number alterations for LUAD and LUSC in TIMER2.0.

Additional file 8 of Study on the prognosis, immune and drug resistance of m6A-related genes in lung cancer

Yang Yang, Zhouyao Qian, Mingyang Feng, Weiting Liao, Qiuji Wu, Feng Wen & Qiu Li
Additional file 8. The heatmap of correlation between the immune characteristics and the four hub DEMGs in LUAD and LUSC from TISID.

Additional file 1 of Study on the prognosis, immune and drug resistance of m6A-related genes in lung cancer

Yang Yang, Zhouyao Qian, Mingyang Feng, Weiting Liao, Qiuji Wu, Feng Wen & Qiu Li
Additional file 1. The workflow and study design of the analysis steps.

Additional file 4 of FMO3 deficiency of duck leads to decreased lipid deposition and increased antibacterial activity

Xingzheng Li, Jianlou Song, Xuefeng Shi, Mingyi Huang, Lei Liu, Guoqiang Yi, Ning Yang, Guiyun Xu & Jiangxia Zheng
Additional file 4: Fig. S4. GWAS analysis based on variations at the exon level showed that SNPs located in the exon region of FMO3 were not associated with TMA production. The top panel shows the Manhattan plot of the GWAS analysis, and the bottom panel shows the FMO3 gene region.

Additional file 6 of FMO3 deficiency of duck leads to decreased lipid deposition and increased antibacterial activity

Xingzheng Li, Jianlou Song, Xuefeng Shi, Mingyi Huang, Lei Liu, Guoqiang Yi, Ning Yang, Guiyun Xu & Jiangxia Zheng
Additional file 6: Fig. S6. Characteristics of Akkermansia and Mucispirillum, and their relationships with other microbiota. A Spearman correlation of adjusted relative abundance for bacteria between the CL and TH groups, adjusted relative abundance = ln(abundance+Δ), Δ = 10− 7. B Cumulative abundance distribution of cecal bacteria. C Co-occurrence networks associated with Akkermansia and Mucispirillum (ρ > 0.4, P < 0.05). D Principal coordinates analysis (PCoA) using a distance matrix of enterotypes (Bacteroides and Desulfovibrio)....

Additional file 6 of FMO3 deficiency of duck leads to decreased lipid deposition and increased antibacterial activity

Xingzheng Li, Jianlou Song, Xuefeng Shi, Mingyi Huang, Lei Liu, Guoqiang Yi, Ning Yang, Guiyun Xu & Jiangxia Zheng
Additional file 6: Fig. S6. Characteristics of Akkermansia and Mucispirillum, and their relationships with other microbiota. A Spearman correlation of adjusted relative abundance for bacteria between the CL and TH groups, adjusted relative abundance = ln(abundance+Δ), Δ = 10− 7. B Cumulative abundance distribution of cecal bacteria. C Co-occurrence networks associated with Akkermansia and Mucispirillum (ρ > 0.4, P < 0.05). D Principal coordinates analysis (PCoA) using a distance matrix of enterotypes (Bacteroides and Desulfovibrio)....

Additional file 4 of FMO3 deficiency of duck leads to decreased lipid deposition and increased antibacterial activity

Xingzheng Li, Jianlou Song, Xuefeng Shi, Mingyi Huang, Lei Liu, Guoqiang Yi, Ning Yang, Guiyun Xu & Jiangxia Zheng
Additional file 4: Fig. S4. GWAS analysis based on variations at the exon level showed that SNPs located in the exon region of FMO3 were not associated with TMA production. The top panel shows the Manhattan plot of the GWAS analysis, and the bottom panel shows the FMO3 gene region.

Additional file 6 of The long non-coding RNA lncMYOZ2 mediates an AHCY/MYOZ2 axis to promote adipogenic differentiation in porcine preadipocytes

Yang Yang, Yiqi Wu, Mengting Ji, Xiaoyin Rong, Yanwei Zhang, Shuai Yang, Chang Lu, Chunbo Cai, Pengfei Gao, Xiaohong Guo, Bugao Li & Guoqing Cao
Additional file 6.

Additional file 3 of Study on the prognosis, immune and drug resistance of m6A-related genes in lung cancer

Yang Yang, Zhouyao Qian, Mingyang Feng, Weiting Liao, Qiuji Wu, Feng Wen & Qiu Li
Additional file 3. The cluster of LC cancer based on m6A-related genes.

Additional file 3 of Study on the prognosis, immune and drug resistance of m6A-related genes in lung cancer

Yang Yang, Zhouyao Qian, Mingyang Feng, Weiting Liao, Qiuji Wu, Feng Wen & Qiu Li
Additional file 3. The cluster of LC cancer based on m6A-related genes.

Additional file 6 of Study on the prognosis, immune and drug resistance of m6A-related genes in lung cancer

Yang Yang, Zhouyao Qian, Mingyang Feng, Weiting Liao, Qiuji Wu, Feng Wen & Qiu Li
Additional file 6. Infiltration of gene expression, overall survival, mutation profile and the comparison of tumor infiltration levels in m6A-related genes with different somatic copy number alterations for LUAD and LUSC in TIMER2.0.

Registration Year

  • 2022
    70
  • 2021
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Resource Types

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Affiliations

  • University of Florida
    71
  • Chinese Academy of Medical Sciences & Peking Union Medical College
    62
  • Sichuan University
    58
  • West China Second University Hospital of Sichuan University
    48
  • Wenzhou Medical University
    48
  • Shanghai Jiao Tong University
    48
  • Nantong University
    48
  • Chinese Academy of Sciences
    48
  • Chinese Academy of Agricultural Sciences
    47
  • Ministry of Agriculture and Rural Affairs
    47