931 Works

Circular RNA ZFR accelerates non-small cell lung cancer progression by acting as a miR-101-3p sponge to enhance CUL4B expression

Haifeng Zhang, Xiaolong Wang, Baoli Hu, Feng Zhang, Haitao Wei & Li Li
Non-small-cell lung carcinoma (NSCLC) is the most common type of lung cancer. Circular RNA ZFR (circZFR) is an identified circular RNA (circRNA) that is correlated with cancer progression. However, the role of circZFR in NSCLC remains unknown. In the present study, we aimed to investigate the function of circZFR in NSCLC and the underlying mechanism. The expression patterns of circZFR were determined using qRT-PCR in NSCLC samples and cell lines. The subcellular distribution of circZFR...

Circular RNA ZFR accelerates non-small cell lung cancer progression by acting as a miR-101-3p sponge to enhance CUL4B expression

Haifeng Zhang, Xiaolong Wang, Baoli Hu, Feng Zhang, Haitao Wei & Li Li
Non-small-cell lung carcinoma (NSCLC) is the most common type of lung cancer. Circular RNA ZFR (circZFR) is an identified circular RNA (circRNA) that is correlated with cancer progression. However, the role of circZFR in NSCLC remains unknown. In the present study, we aimed to investigate the function of circZFR in NSCLC and the underlying mechanism. The expression patterns of circZFR were determined using qRT-PCR in NSCLC samples and cell lines. The subcellular distribution of circZFR...

Data from: IL-33 mediated iLC2 activation and neutrophil IL-5 production in the lung response after severe trauma: a reverse translation study from a human cohort to a mouse trauma model

Jing Xu, Jesse Guardado, Rosemary Hoffman, Hui Xu, Rami Namas, Yoram Vodovotz, Li Xu, Mostafa Ramadan, Joshua Brown, Heth R. Turnquist & Timothy R. Billiar
Background: The immunosuppression and immune dysregulation that follows severe injury includes type 2 immune responses manifested by elevations in interleukin (IL) 4, IL5, and IL13 early after injury. We hypothesized that IL33, an alarmin released early after tissue injury and a known regulator of type 2 immunity, contributes to the early type 2 immune responses after systemic injury. Methods and findings: Blunt trauma patients admitted to the trauma intensive care unit of a level I...

Additional file 4 of Pseudomonas aeruginosa biofilm dispersion by the mouse antimicrobial peptide CRAMP

Yang Zhang, Peng Cheng, Shiyuan Wang, Xiaofen Li, Lianci Peng, Rendong Fang, Jing Xiong, Hui Li, Cui Mei, Jiye Gao, Zhenhui Song, Dengfeng Xu, Lizhi Fu, Chenghong Li, Xueqing Wu, Yuzhang He & Hongwei Chen
Additional file 4. Differentially metabolic substance data.

Additional file 4 of Pseudomonas aeruginosa biofilm dispersion by the mouse antimicrobial peptide CRAMP

Yang Zhang, Peng Cheng, Shiyuan Wang, Xiaofen Li, Lianci Peng, Rendong Fang, Jing Xiong, Hui Li, Cui Mei, Jiye Gao, Zhenhui Song, Dengfeng Xu, Lizhi Fu, Chenghong Li, Xueqing Wu, Yuzhang He & Hongwei Chen
Additional file 4. Differentially metabolic substance data.

Additional file 1 of CXCL12/CXCR7/β-arrestin1 biased signal promotes epithelial-to-mesenchymal transition of colorectal cancer by repressing miRNAs through YAP1 nuclear translocation

Mahan Si, Yujia Song, Xiaohui Wang, Dong Wang, Xiaohui Liu, Xianjun Qu, Zhiyu Song & Xinfeng Yu
Additional file 1: Fig. S1. A, B RT-qPCR and Western blot analysis of the expression of CXCR7 at mRNA and protein levels in CRC cells. Fig. S2. Transwell assay was performed in HCT116CXCR7 and SW620CXCR7 cells compared with controls. Migrating cells were quantified. **P < 0.01. ***P < 0.001. Fig. S3. The correlations of CXCR7 (ACKR3) with ZEB1 and SNAI1 were determined in CRC tissues by Gene Expression Profiling Interactive Analysis (GEPIA). Fig. S4. A,...

Additional file 1 of CXCL12/CXCR7/β-arrestin1 biased signal promotes epithelial-to-mesenchymal transition of colorectal cancer by repressing miRNAs through YAP1 nuclear translocation

Mahan Si, Yujia Song, Xiaohui Wang, Dong Wang, Xiaohui Liu, Xianjun Qu, Zhiyu Song & Xinfeng Yu
Additional file 1: Fig. S1. A, B RT-qPCR and Western blot analysis of the expression of CXCR7 at mRNA and protein levels in CRC cells. Fig. S2. Transwell assay was performed in HCT116CXCR7 and SW620CXCR7 cells compared with controls. Migrating cells were quantified. **P < 0.01. ***P < 0.001. Fig. S3. The correlations of CXCR7 (ACKR3) with ZEB1 and SNAI1 were determined in CRC tissues by Gene Expression Profiling Interactive Analysis (GEPIA). Fig. S4. A,...

Additional file 6 of CCHCR1-astrin interaction promotes centriole duplication through recruitment of CEP72

Zhenguang Ying, Kaifang Wang, Junfeng Wu, Mingyu Wang, Jing Yang, Xia Wang, Guowei Zhou, Haibin Chen, Hongwu Xu, Stephen Cho Wing Sze, Feng Gao, Chunman Li & Ou Sha
Additional file 6. Individual data values. Raw data of Fig. 3A,B,F,G,7C and 7I.

Additional file 3 of Genome-wide identification and characterization of lncRNAs in sunflower endosperm

Shuai Yu, Zhichao Zhang, Jing Li, Yanbin Zhu, Yanzhe Yin, Xiaoyu Zhang, Yuxin Dai, Ao Zhang, Cong Li, Yanshu Zhu, Jinjuan Fan, Yanye Ruan & Xiaomei Dong
Additional file 3: Table S3. GO Gene Ontology analysis of co-expressed protein-coding genes with all candidate lncRNAs.

Additional file 2 of Neomorphic DNA-binding enables tumor-specific therapeutic gene expression in fusion-addicted childhood sarcoma

Tilman L. B. Hölting, Florencia Cidre-Aranaz, Dana Matzek, Bastian Popper, Severin J. Jacobi, Cornelius M. Funk, Florian H. Geyer, Jing Li, Ignazio Piseddu, Bruno L. Cadilha, Stephan Ledderose, Jennifer Zwilling, Shunya Ohmura, David Anz, Annette Künkele, Frederick Klauschen, Thomas G. P. Grünewald & Maximilian M. L. Knott
Additional file 2: Additional Tables 1-5.

Additional file 9 of Genome-centric insight into metabolically active microbial population in shallow-sea hydrothermal vents

Xiaofeng Chen, Kai Tang, Mu Zhang, Shujing Liu, Mingming Chen, Peiwen Zhan, Wei Fan, Chen-Tung Arthur Chen & Yao Zhang
Additional file 9: Table S8. Genomic and proteomic data of the predominant Nautiliaceae and Thiomicrorhabdus MAGs used for metabolic modules reconstruction.

Additional file 9 of Genome-centric insight into metabolically active microbial population in shallow-sea hydrothermal vents

Xiaofeng Chen, Kai Tang, Mu Zhang, Shujing Liu, Mingming Chen, Peiwen Zhan, Wei Fan, Chen-Tung Arthur Chen & Yao Zhang
Additional file 9: Table S8. Genomic and proteomic data of the predominant Nautiliaceae and Thiomicrorhabdus MAGs used for metabolic modules reconstruction.

Additional file 3 of Genetic diversity in the transmission-blocking vaccine candidate Plasmodium vivax gametocyte protein Pvs230 from the China–Myanmar border area and central Myanmar

Xin Zhao, Yubing Hu, Yan Zhao, Lin Wang, Zifang Wu, Myat Thu Soe, Myat Phone Kyaw, Liwang Cui, Xiaotong Zhu & Yaming Cao
Additional file 3: Table S3. Codon-based tests for selection on Pvs230 in China–Myanmar border and Myanmar isolates.

Cancer-associated fibroblast-released extracellular vesicles carrying miR-199a-5p induces the progression of​ gastric cancer through regulation of FKBP5-mediated AKT1/mTORC1 signaling pathway

Yan Wang, Tao Li, Lei Yang, Xunlei Zhang, Xiaoli Wang, Xiaoqin Su, Congfei Ji & Zhenxin Wang
Accumulating evidence has unfolded the significance of extracellular vesicles (EVs) in diseases and cancers. Here, we attempted to discuss the role of cancer-associated fibroblasts (CAFs)-derived EVs containing miR-199a-5p in gastric tumorigenesis. Upregulated miR-199a-5p was first identified in cancer cells. Then, we selected CAFs for isolation of EVs which were co-cultured with AGS cells. We observed successful delivery of miR-199a-5p via CAF-derived EVs. Besides, miR-199a-5p promoted malignant properties of AGS cells. Moreover, miR-199a-5p downregulated FKBP5, leading...

Additional file 1 of Oxidative stress genes in patients with esophageal squamous cell carcinoma: construction of a novel prognostic signature and characterization of tumor microenvironment infiltration

Wei Liu, Hao-Shuai Yang, Shao-Yi Zheng, Hong-He Luo, Yan-Fen Feng & Yi-Yan Lei
Additional file 1: Table S1. The specific risk score and risk level group for each patient with ESCC.

Additional file 2 of Oxidative stress genes in patients with esophageal squamous cell carcinoma: construction of a novel prognostic signature and characterization of tumor microenvironment infiltration

Wei Liu, Hao-Shuai Yang, Shao-Yi Zheng, Hong-He Luo, Yan-Fen Feng & Yi-Yan Lei
Additional file 2: Table S2. Median survival times for the high- and low- risk groups ESCC patients of survival curves stratified by these clinical characteristics in the training, testing, and entire sets.

Additional file 4 of Rapid and sensitive single-cell RNA sequencing with SHERRY2

Lin Di, Bo Liu, Yuzhu Lyu, Shihui Zhao, Yuhong Pang, Chen Zhang, Jianbin Wang, Hai Qi, Jie Shen & Yanyi Huang
Additional file 4: Table S3.qPCR results of gDNA after DNase treatment. (recording data values of Additional file 1: Fig. S6B).

Additional file 5 of Rapid and sensitive single-cell RNA sequencing with SHERRY2

Lin Di, Bo Liu, Yuzhu Lyu, Shihui Zhao, Yuhong Pang, Chen Zhang, Jianbin Wang, Hai Qi, Jie Shen & Yanyi Huang
Additional file 5: Table S4.Normalized abundance of marker genes in each GC cell type. (recording data values of Additional file 1: Fig. S7D).

Additional file 5 of Population structure discovery in meta-analyzed microbial communities and inflammatory bowel disease using MMUPHin

Siyuan Ma, Dmitry Shungin, Himel Mallick, Melanie Schirmer, Long H. Nguyen, Raivo Kolde, Eric Franzosa, Hera Vlamakis, Ramnik Xavier & Curtis Huttenhower
Additional file 5: Supplemental Table 3. Detailed specification for omnibus and per-feature differential abundance testing models.

Additional file 6 of Population structure discovery in meta-analyzed microbial communities and inflammatory bowel disease using MMUPHin

Siyuan Ma, Dmitry Shungin, Himel Mallick, Melanie Schirmer, Long H. Nguyen, Raivo Kolde, Eric Franzosa, Hera Vlamakis, Ramnik Xavier & Curtis Huttenhower
Additional file 6: Supplemental Table 4. Per-study and meta-analytically aggregated effect sizes of per-feature differential abundance tests performed.

Additional file 6 of Population structure discovery in meta-analyzed microbial communities and inflammatory bowel disease using MMUPHin

Siyuan Ma, Dmitry Shungin, Himel Mallick, Melanie Schirmer, Long H. Nguyen, Raivo Kolde, Eric Franzosa, Hera Vlamakis, Ramnik Xavier & Curtis Huttenhower
Additional file 6: Supplemental Table 4. Per-study and meta-analytically aggregated effect sizes of per-feature differential abundance tests performed.

Additional file 7 of Population structure discovery in meta-analyzed microbial communities and inflammatory bowel disease using MMUPHin

Siyuan Ma, Dmitry Shungin, Himel Mallick, Melanie Schirmer, Long H. Nguyen, Raivo Kolde, Eric Franzosa, Hera Vlamakis, Ramnik Xavier & Curtis Huttenhower
Additional file 7: Supplemental Table 5. Per-study and meta-analytically aggregated effect sizes of tests on per-feature abundance associated with disease phenotypic severity.

Additional file 9 of Population structure discovery in meta-analyzed microbial communities and inflammatory bowel disease using MMUPHin

Siyuan Ma, Dmitry Shungin, Himel Mallick, Melanie Schirmer, Long H. Nguyen, Raivo Kolde, Eric Franzosa, Hera Vlamakis, Ramnik Xavier & Curtis Huttenhower
Additional file 9: Supplemental Table 7. Consensus loadings for the two identified continuous scores characterizing the IBD gut microbiome population structure.

Additional file 5 of Identification of TLN1 as a prognostic biomarker to effect cell proliferation and differentiation in acute myeloid leukemia

Di Cui, Xilong Cui, Xiaoliang Xu, Wenjing Zhang, Yu Yu, Yingxin Gao, Chuanzhong Mei & Weiwei Zheng
Additional file 5.

Additional file 1 of Construction of a ferroptosis-related five-lncRNA signature for predicting prognosis and immune response in thyroid carcinoma

Yuan Qin, Dai Zhang, Huan Zhang, Lan Hou, Zhe Wang, Liu Yang, Mingkun Zhang, Ge Zhao, Qing Yao, Rui Ling & Juliang Zhang
Additional file 1: Table S1. Ferroptosis-related genes.

Registration Year

  • 2023
    70
  • 2022
    718
  • 2021
    98
  • 2020
    32
  • 2019
    10
  • 2018
    2
  • 2017
    1

Resource Types

  • Dataset
    931

Affiliations

  • Army Medical University
    930
  • Chinese Academy of Medical Sciences & Peking Union Medical College
    659
  • Shanghai Jiao Tong University
    608
  • Capital Medical University
    573
  • Zhejiang University
    556
  • Fudan University
    504
  • Huazhong University of Science and Technology
    476
  • Sichuan University
    432
  • Sun Yat-sen University
    413
  • Chinese Academy of Sciences
    403