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低水平的BIK通过FUT3-PMM2-SQSTM1-SFN-ZNF384介导由内外交互炎症免疫诱导的转录依赖性凋亡。

Low BIK outside-inside-out interactive inflammation immune-induced transcription-dependent apoptosis through FUT3-PMM2-SQSTM1-SFN-ZNF384.

作者信息

Huang Juxiang, Wang Lin, Jiang Minghu, Chen Qingchun, Zhang Xiaoyu, Wang Yangming, Jiang Zhenfu, Zhang Zhongjie

机构信息

Biomedical Center, School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, 100876, China.

Lab of Computational Linguistics, School of Humanities and Social Sciences, Tsinghua University, Beijing, 100084, China.

出版信息

Immunol Res. 2016 Apr;64(2):461-9. doi: 10.1007/s12026-015-8701-x.

Abstract

Eighteen different Pearson mutual-positive-correlation BIK-activatory molecular feedback upstream and downstream networks were constructed from 79 overlapping of 376 GRNInfer and 98 Pearson under BIK CC ≥ 0.25 in low normal adjacent tissues of Taiwan compared with high lung adenocarcinoma. Our identified BIK interactive total feedback molecular network showed FUT3 [fucosyltransferase 3 (galactoside 3(4)-L-fucosyltransferase Lewis blood group)], PMM2 (phosphomannomutase 2), SQSTM1 (sequestosome 1), SFN_2 [REX2 RNA exonuclease 2 homolog (S. cerevisiae)] and ZNF384 (zinc finger protein 384) in low normal adjacent tissues of lung adenocarcinoma. BIK interactive total feedback terms included mitochondrial envelope, endomembrane system, integral to membrane, Golgi apparatus, cytoplasm, nucleus, cytosol, intracellular signaling cascade, mitochondrion, extracellular space, inflammation, immune response, apoptosis, cell differentiation, cell cycle, regulation of cell cycle, cell proliferation, estrogen-responsive protein Efp controls cell cycle and breast tumors growth, induction or regulation of apoptosis based on integrative GO, KEGG, GenMAPP, BioCarta and disease databases in low normal adjacent tissues of lung adenocarcinoma. Therefore, we propose low BIK outside-inside-out interactive inflammation immune-induced transcription-dependent apoptosis through FUT3-PMM2-SQSTM1-SFN-ZNF384 in normal adjacent tissues of lung adenocarcinoma.

摘要

与高肺腺癌相比,在台湾低正常相邻组织中,基于376个基因调控网络推断(GRNInfer)中的79个重叠部分以及98个皮尔逊相关系数(Pearson),构建了18个不同的皮尔逊相互正相关的BIK激活分子反馈上下游网络,其中BIK相关系数(CC)≥0.25。我们鉴定出的BIK相互作用总反馈分子网络在肺腺癌低正常相邻组织中显示出岩藻糖基转移酶3(FUT3)[岩藻糖基转移酶3(半乳糖苷3(4)-L-岩藻糖基转移酶刘易斯血型)]、磷酸甘露糖变位酶2(PMM2)、聚集体蛋白1(SQSTM1)、REX2 RNA核酸外切酶2同源物(酿酒酵母)(SFN_2)和锌指蛋白384(ZNF384)。BIK相互作用总反馈术语包括线粒体外膜、内膜系统、膜整合、高尔基体、细胞质、细胞核、胞质溶胶、细胞内信号级联、线粒体、细胞外空间、炎症、免疫反应、细胞凋亡、细胞分化、细胞周期、细胞周期调控、细胞增殖、雌激素反应蛋白Efp控制细胞周期和乳腺肿瘤生长、基于综合基因本体论(GO)、京都基因与基因组百科全书(KEGG)、基因图谱(GenMAPP)、生物卡塔(BioCarta)和疾病数据库在肺腺癌低正常相邻组织中诱导或调控细胞凋亡。因此,我们提出在肺腺癌正常相邻组织中,通过FUT3-PMM2-SQSTM1-SFN-ZNF384介导低BIK的由外而内再向外的交互式炎症免疫诱导转录依赖性细胞凋亡。

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