The endonuclease activity of MCPIP1 controls the neoplastic transformation of epithelial cells via the c-Met/CD44 axis by Paulina Marona, Rafał Myrczek, Iga Piasecka, Judyta Gorka, Oliwia Kwapisz, Ewelina Pospiech, Janusz Rys, Jolanta Jura, Katarzyna Miekus

“…In vivo studies demonstrated that MCPIP1 inactivation in normal epithelial cells leads to significant tumor formation and increased c-Myc phosphorylation, indicating enhanced cell proliferation. …”
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Genetic Comparison of Stemness of Human Umbilical Cord and Dental Pulp by Chung-Min Kang, Hyunok Kim, Je Seon Song, Byung-Jai Choi, Seong-Oh Kim, Han-Sung Jung, Seok-Jun Moon, Hyung-Jun Choi

“…Although UC and DP tissues exhibited similar expression of surface markers for MSCs, UC showed higher expression of CD29, CD34, CD44, CD73, CD105, CD146, and CD166. qRT-PCR analysis showed that CD146, CD166, and MYC were expressed 18.3, 8.24, and 1.63 times more highly in UC, whereas the expression of CD34 was 2.15 times higher in DP. …”
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Dose-dependent effects of gamma radiation on the early zebrafish development and gene expression. by Selma Hurem, Leonardo Martín Martín, Dag Anders Brede, Eystein Skjerve, Rasoul Nourizadeh-Lillabadi, Ole Christian Lind, Terje Christensen, Vidar Berg, Hans-Christian Teien, Brit Salbu, Deborah Helen Oughton, Peter Aleström, Jan Ludvig Lyche

“…By comparing gene expression data, myc was found to be the most significant upstream regulator, followed by tp53, TNF, hnf4a, TGFb1 and cebpa, while crabp2b and vegfab were identified as most frequent downstream target genes. …”
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Transcriptomic Response of Arabidopsis thaliana to Pseudomonas syringae Infection: An In Silico Approach by Amir Ghaffar Shahriari, Mohamad Hamed Ghodoum Parizipour, Yaser Biniaz, Aminallah Tahmasebi, Fatemeh Gholizadeh

“…The most important hubs genes included MYC2, WRKY40, WRKY33, and other genes. Moreover, the total number of 41 miRNA families was determined during the A. thaliana-bacterium interaction. …”
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Derivation of two induced pluripotent stem cell lines from a healthy control subject by Dan Zhang, Di Huang, Leon M. Larcher, Khine Zaw, Shang-Chih Chen, Luke Jennings, Tina M. Lamey, Jennifer A. Thompson, Terri L. McLaren, Fred K. Chen, Samuel McLenachan

“…Reprogramming was performed using episomal vectors expressing OCT4, SOX2, LIN28, L-MYC, KLF4 and mp53DD. Pluripotency markers were expressed in both LEIi021-A and LEIi021-B lines. …”
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Genomic characterization and molecular predictive biomarkers for chemotherapy in patients with metastatic triple-negative breast cancer treated in a real-world setting by Erik Olsson, Henrik Lindman, Evangelos Digkas, Viktoria Thurfjell, Haidar Mir Ali, Ute Krüger, Anna-Karin Wennstig, Marie Sundqvist, Antonios Valachis

“…Exceptional responders more often exhibited alterations in the MYC and RAS/RTK pathways compared to rapid progressors. …”
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Reconstruction of Alzheimer’s Disease Cell Model In Vitro via Extracted Peripheral Blood Molecular Cells from a Sporadic Patient by Sijun Liu, Yuying Zhao, Xiaoying Su, Chengcheng Zhou, Peifen Yang, Qiusan Lin, Shijun Li, Hanxu Tan, Qi Wang, Changjun Wang, Qingguang Wu

“…Here, we extracted peripheral blood mononuclear cells (PBMCs) from a patient with sAD and induced them into iPSC by introducing the Sendai virus expressing Oct3/4, Sox2, c-Myc, and Klf4, which were subsequently induced into neural cells to build the cell model of AD. …”
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DYNLT3 overexpression induces apoptosis and inhibits cell growth and migration via inhibition of the Wnt pathway and EMT in cervical cancer by Jianan Zhang, Qi Shen, Lu Xia, Xueqiong Zhu, Xuejie Zhu

“…Upregulation of DYNLT3 expression markedly decreased the expression of Wnt signaling pathway-related proteins (Dvl2, Dvl3, p-LRP6, Wnt3a, Wnt5a/b, Naked1, Naked2, β-catenin and C-Myc) and EMT-related proteins (N-cadherin, SOX2, OCT4, vimentin and Snail), and increased the expression of E-cadherin and Axin1. …”
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Different expression of circulating microRNA profile in tibetan OSAHS with metabolic syndrome patients by Xue-feng Shi, Xiang He, Ze-rui Sun, Jie Duo, Hao Yang

“…Additionally, the target genes of differentially expressed miRNAs between Tibetan OSAHS patients with MetS and healthy individuals are regulated by transcription factors such as NR2C1, STAT3, STAT5a, HIF1a, ETV4, NANOG, RELA, SP1, E2F1, NFKB1, AR, and MYC. In conlusion, we found differentially expressed miRNAs in Tibetan OSAHS patients with Metabolic Syndrome for the first time. …”
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Oocyte transcriptomes and follicular fluid proteomics of ovine atretic follicles reveal the underlying mechanisms of oocyte degeneration by Yukun Song, Erhan Hai, Nan Zhang, Yu Zhang, Junlan Wang, Xitong Han, Jiaxin Zhang

“…Results First, through paired analysis of different follicle development stages, we identified 175 atresia-specific genes and eight candidate oocyte-secreted factors, including PKG1, YTHDF2, and MYC. Meanwhile, we also characterized unique features of the oocyte transcriptional landscape in the atretic follicle stage that displayed cell death-related transcriptional changes and mechanisms, such as autophagy (TBK1 and IRS4), necroptosis (PKR), and apoptosis (MARCKS). …”
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Transcriptomic and proteomic profiling identifies feline fibrosarcoma as clinically amenable model for aggressive sarcoma subtypes by Mikiyo Weber, Daniel Fuchs, Amiskwia Pöschel, Erin Beebe, Zuzana Garajova, Armin Jarosch, Laura Kunz, Witold Wolski, Lennart Opitz, Franco Guscetti, Mirja C. Nolff, Enni Markkanen

“…While feline FSA are characterized by hyperactive EIF2, TP53 and MYC signaling, immune-related and neuronal pathways emerge as modulators of tumor aggressiveness and immunosuppression. …”
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Plant-nanoparticles enhance anti-PD-L1 efficacy by shaping human commensal microbiota metabolites by Yun Teng, Chao Luo, Xiaolan Qiu, Jingyao Mu, Mukesh K. Sriwastva, Qingbo Xu, Minmin Liu, Xin Hu, Fangyi Xu, Lifeng Zhang, Juw Won Park, Jae Yeon Hwang, Maiying Kong, Zhanxu Liu, Xiang Zhang, Raobo Xu, Jun Yan, Michael L. Merchant, Craig J. McClain, Huang-Ge Zhang

“…An increased level of circulating DHA inhibits PD-L1 expression in tumor cells by binding the PD-L1 promoter and subsequently prevents c-myc-initiated transcription of PD-L1. Colonization of germ-free male mice with gut bacteria from anti-PD-L1 non-responding patients supplemented with DHA enhances the efficacy of anti-PD-L1 therapy compared to controls. …”
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Malignant phyllodes tumors with sarcomatous components: A histopathologic and molecular study by Ting Lei, Yunjie Song, Zhiyi Shen, Yongqiang Shi, Cunyan Xia, Xu Deng, Wenyue Da, Yan Peng, Qing Li

“…In MPTs characterized by sarcomatous components, MCL1 (n = 6, 75.0 %) and MYC (n = 5, 62.5 %) demonstrated a notably high frequency of amplification. …”
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SHP2 promotes the epithelial-mesenchymal transition in triple negative breast cancer cells by regulating β-catenin by Shihan Qian, Jingjing Zhu, Qing Han, Huang Cheng, Huaibin Zhou

“…Additionally, SHP2 promoted β-catenin stability by inhibiting its degradation via the proteasome. Furthermore, c-Myc expression and GSK3β and AKT phosphorylation, which are involved in β-catenin signaling, were decreased in SHP2-depleted TNBC cells. …”
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Unveiling the molecular profile of a prostate carcinoma: implications for personalized medicine by Massimiliano Agostini, Erica Giacobbi, Francesca Servadei, Julia Bishof, Likas Funke, Giuseppe Sica, Valentina Rovella, Marco Carilli, Valerio Iacovelli, Yufang Shi, Jianquan Hou, Eleonora Candi, Gerry Melino, Giulio Cervelli, Manuel Scimeca, Alessandro Mauriello, Pierluigi Bove

“…Although several genetic alterations such as ERG-TMPRSS2 fusion, MYC amplification, PTEN deletion and mutations in p53 and BRCA2 genes play a key role in the pathogenesis of prostate cancer, specific gene alteration signature that could distinguish indolent from aggressive prostate cancer or may aid in patient stratification for prognosis and/or clinical management of patients with prostate cancer is still missing. …”
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Establishment of the first marine mollusk cell line from scallop (Chlamys farreri) trochophore by Zhenkui Qin, Aichang Ji, Meng Yan, Danwen Liu, Xixi Li, Xiaoli Hu, Zhifeng Zhang

“…Immunofluorescence detection of KLF4, c-MYC, MYOSIN, and 5-HT indicated that CfT cells may possess a certain degree of pluripotency. …”
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Targeting protein-protein interactions in drug discovery: Modulators approved or in clinical trials for cancer treatment by Cristina Camps-Fajol, Debora Cavero, Jordi Minguillón, Jordi Surrallés

“…This review discusses the clinical development status of drugs modulating several PPIs, such as MDM2–4/p53, Hsp90/Hsp90, Hsp90/CDC37, c-Myc/Max, KRAS/SOS1, CCR5/CCL5, CCR2/CCL2 or Smac/XIAP, in cancer drug discovery.…”
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Pathological variants in HPV-independent vulvar tumours by Sanja A. Farkas, Alvida Qvick, Gisela Helenius, Gabriella Lillsunde-Larsson

“…The most frequent CNV was found in the cMYC gene, followed by CDK2 (n = 5) and CDK4 (n = 4). …”
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Plant growth-promoting endophytic consortium improved artemisinin biosynthesis via modulating antioxidants, gene expression, and transcriptional profile in Artemisia annua (L.) und... by Arpita Tripathi, Praveen Pandey, Shakti Nath Tripathi, Alok Kalra

“…This stimulation of artemisinin by consortia and ART7 emerged from the up-regulation of major structural genes like CYP7AV1, DXS1, HMGR, DXR1, FPS, ADS, ADH2, SQC, ALDH, HMGS, ADH1, and ISPH while down-regulation of SQS, that enabled the metabolic flux flowed toward artemisinin biosynthesis and were able to disrupt the restricted enzymatic stages in the artemisinin biosynthesis pathway; besides, TFs such as bZIP, AP2, C3H, ARF, E2F, MYB, WRKY, MYC, and ERF modulate gene expression, and these proved as possible candidates for studying adaptation to multiple stress and their mechanisms. …”
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Prioritization of potential pharmacological targets for the development of anti-hepatocarcinoma drugs modulating the extrinsic apoptosis pathway: the reconstruction and analysis... by P. S. Demenkov, E. A. Antropova, A. V. Adamovskaya, E. I. Mishchenko, T. M. Khlebodarova, T. V. Ivanisenko, N. V. Ivanisenko, A. S. Venzel, I. N. Lavrik, V. A. Ivanisenko

“…Among the promising potential pharmacological targets, six highly ranked genes (JUN, IL10, STAT3, MYC, TLR4, and KHDRBS1) are likely to deserve close attention.…”
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