Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (6)
  • Open Access

    ARTICLE

    Identification of M2 macrophage-related genes for establishing a prognostic model in pancreatic cancer: FCGR3A as key gene

    ZHEN WANG1, JUN FU1, SAISAI ZHU1, HAODONG TANG2, KUI SHI1, JIHUA YANG3, MENG WANG3, MENGGE WU1, DUNFENG QI1,*

    Oncology Research, Vol.32, No.12, pp. 1851-1866, 2024, DOI:10.32604/or.2024.055286 - 13 November 2024

    Abstract Background: Pancreatic ductal adenocarcinoma (PDAC) has a rich and complex tumor immune microenvironment (TIME). M2 macrophages are among the most extensively infiltrated immune cells in the TIME and are necessary for the growth and migration of cancers. However, the mechanisms and targets mediating M2 macrophage infiltration in pancreatic cancer remain elusive. Methods: The M2 macrophage infiltration score of patients was assessed using the xCell algorithm. Using weighted gene co-expression network analysis (WGCNA), module genes associated with M2 macrophages were identified, and a predictive model was designed. The variations in immunological cell patterns, cancer mutations, and… More > Graphic Abstract

    Identification of M2 macrophage-related genes for establishing a prognostic model in pancreatic cancer: <i>FCGR3A</i> as key gene

  • Open Access

    ARTICLE

    Screen for autophagy-related biomarkers in osteoarthritis based on bioinformatic analysis

    CHAO LIU*

    BIOCELL, Vol.48, No.2, pp. 339-351, 2024, DOI:10.32604/biocell.2023.047044 - 23 February 2024

    Abstract Introduction: Osteoarthritis (OA) is still an important health problem, and understanding its pathological mechanisms is essential for its diagnosis and treatment. There is evidence that autophagy may play a role in OA progression, but the exact mechanism remains unclear. Methods: In this study, we adopted a multi-prong approach to systematically identify the key autophagy-related genes (ARGs) associated with OA. Through weighted gene co-expression network analysis, we initially identified significant gene modules associated with OA. Subsequent differential gene analysis performed on normal and OA specimens. Further analysis later using the MCC algorithm highlighted hub ARGs. These… More >

  • Open Access

    ARTICLE

    Exploring the attenuation mechanisms of Dalbergia odorifera leaves extract on cerebral ischemia-reperfusion based on weighted gene co-expression network analysis

    JINFANG HU1,#, JIANGEN AO2,#, LONGSHENG FU1,#, YAOQI WU1, FENG SHAO3, TIANTIAN XU1, MINGJIN JIANG4, SHAOFENG XIONG1, YANNI LV1,*

    BIOCELL, Vol.47, No.7, pp. 1611-1622, 2023, DOI:10.32604/biocell.2023.028684 - 21 June 2023

    Abstract Background: The attenuation function of Dalbergia odorifera leaves on cerebral ischemia-reperfusion (I/R) is little known. The candidate targets for the Chinese herb were extracted from brain tissues through the high-affinity chromatography. The molecular mechanism of D. odorifera leaves on cerebral I/R was investigated. Methods: Serial affinity chromatography based on D. odorifera leaves extract (DLE) affinity matrices were applied to find specific binding proteins in the brain tissues implemented on C57BL/6 mice by intraluminal middle cerebral artery occlusion for 1 h and reperfusion for 24 h. Specific binding proteins were subjected to mass-spectrometry to search for the differentially expressed… More >

  • Open Access

    ARTICLE

    Transcriptome analysis reveals potential genes associated with plant height in rice

    CAN CHEN#, RUI FENG#, ZONGQIONG ZHANG#, XIUZHONG XIA, BAOXUAN NONG, YU ZENG, HUI GUO, XINGHAI YANG*, DANTING LI*

    BIOCELL, Vol.47, No.2, pp. 409-421, 2023, DOI:10.32604/biocell.2023.023543 - 18 November 2022

    Abstract Plant height (PH) is a complex trait regulated by the environment and multiple genes. PH directly affects crop yield, harvest index, and lodging resistance. From plant dwarf mutants, many genes related to PH have been identified and described. Nonetheless, the molecular mechanism of height regulation in high-culm rice mutants has not been well studied. By using transcriptome and weighted gene co-expression network analysis (WGCNA), we identified the differentially expressed genes (DEGs) between high-culm rice mutants (MUT) and wild-type (WT) and explored the key pathways and potential candidate genes involved in PH regulation. Transcriptome analysis identified… More >

  • Open Access

    ARTICLE

    Weighted gene co-expression network analysis identifies a novel immune-related gene signature and nomogram to predict the survival and immune infiltration status of breast cancer

    JUNXIA LIU1, KE PANG2, FEI HE2,*

    BIOCELL, Vol.46, No.7, pp. 1661-1673, 2022, DOI:10.32604/biocell.2022.018023 - 17 March 2022

    Abstract Breast cancer is one of the most common cancers in the world and seriously threatens the health of women worldwide. Prognostic models based on immune-related genes help to improve the prognosis prediction and clinical treatment of breast cancer patients. In the study, we used weighted gene co-expression network analysis to construct a co-expression network to screen out highly prognostic immune-related genes. Subsequently, the prognostic immune-related gene signature was successfully constructed from highly immune-related genes through COX regression and LASSO COX analysis. Survival analysis and time receiver operating characteristic curves indicate that the prognostic signature has More >

  • Open Access

    ARTICLE

    The F5 gene predicts poor prognosis of patients with gastric cancer by promoting cell migration identified using a weighted gene co-expression network analysis

    MENGYI TANG1,2,3,4,#, BOWEN YANG1,2,3,4,#, CHUANG ZHANG1,2,3,4, CHAOXU ZHANG1,2,3,4, DAN ZANG1,2,3,4, LIBAO GONG1,2,3,4, YUNPENG LIU1,2,3,4, ZHI LI1,2,3,4,*, XIUJUAN QU1,2,3,4,*

    BIOCELL, Vol.45, No.4, pp. 911-921, 2021, DOI:10.32604/biocell.2021.010119 - 22 April 2021

    Abstract Distal gastric cancer (DGC) is a subgroup of gastric cancer (GC), which has different molecular characteristics from proximal gastric cancer (PGC). These differences result in different overall survival (OS) rates; however, data pertaining to the survival rate in PGC or DGC are contradictory. This suggests that the location of GC is not the unique cause of the different survival rates, while the molecular characteristics might be more important factors determining the prognosis of DGC. Therefore, the aim of this study was to discover key prognostic factors in DGC using bioinformatic methods and to explore the… More >

Displaying 1-10 on page 1 of 6. Per Page