A microRNA signature identifies four subtypes of triple-negative breast cancer and correlates miR-342-3p as a regulator of the lactate metabolic pathway through silencing the monocarboxylate transporter 1
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PROVIDER: PRJNA343043 | ENA |
REPOSITORIES: ENA
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Project description:Accumulating evidence indicates that altered miRNA expression is crucially involved in lung cancer development, but only little has been elucidated about how MYC, an archetypical oncogene, is regulated by miRNAs, especially through a mechanism involving the MYC cofactor(s). In this study, we aimed at identifying miRNAs involved in the regulation of MYC transcriptional activity in lung cancers. To this end, we have taken an integrative approach with combinatorial usage of miRNA and mRNA expression profile datasets of patientsâ tumor tissues as well as those of MYC-inducible cell lines in vitro. We report here that in addition to miRNAs previously reported to be directly regulating or regulated by MYC including let-7 and miR-17-92, our strategy allowed us to identify miR-342-3p as the one capable of indirectly regulating MYC activity through direct repression of a MYC-cooperating molecule, E2F1. Furthermore, the miR-342-3p module activity, which we defined as a gene set reflecting experimentally substantiated influence of miR-342-3p on mRNA expression, was found to be inversely correlated with MYC activity reflected in the MYC module activity in three independent datasets of lung adenocarcinoma patients obtained by the Directorâs Challenge Consortium of the United States (P=1.94x10-73), the National Cancer Center of Japan (P=9.05x10-34) and our own in this study (P=3.37x10-6). Our integrative approach thus appears to be useful to elucidate inter-regulatory relationships between miRNAs and a protein coding-gene of interest, even those present in tumor tissues in patients, which still remains a challenge to better understand the pathogenesis of this devastating disease. Microarray analysis using a SurePrint G3 Human GE 8 x 60K Microarray G4851A (Agilent) was conducted.
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Project description:The organic acids lactate and diacetate are commonly used in combination in ready-to-eat foods because they show synergistic, i.e. greater than additive, ability to inhibit the growth of Listeria monocytogenes. Full genome microarrays were used to investigate the synergistic transcriptomic response of two L. monocytogenes strains, h7858 (serotype 4b) and f6854 (serotype 1/2a), to organic acid, under conditions controlling for osmotic and cold stress. Strains were exposed to BHI broth at 7°C with 4.65% water phase (w.p.) NaCl at pH 6.1 treated with 2% w.p. potassium lactate, 0.14% w.p. sodium diacetate, the combination of both at the same levels, or no inhibitors as control. RNA was extracted 8h after exposure, during lag phase, to capture gene expression changes during adaptation to the organic acid stress. Treatment with organic acids induced massive global transcriptional changes, with 1041 and 640 genes differentially expressed in h7858 and f6854. Major effects of treatment with lactate and diacetate are (i) a total of 474 and 209 genes, for h7858 and f6854, that showed synergistic expression differences, (ii) differential expression of membrane ion transport genes including those encoding ABC transporters of metals and decreased multi-drug transporter expression many ABC, PTS, and drug transporter systems, including increased PTS sugar transport and decreased multi-drug transporter expression, and (iii) altered metabolism including induction of a nutrient limiting stress response, reduction of menaquinone biosynthesis, and a shift from fermentative production of lactate and acetate and lactate to energetically less favorable, neutral acetoin. These data suggest that additional synergies in L. monocytogenes growth inhibition could be achieved by treatments that interfere with cellular energy generation processes. The dye-swapped, single loop design hybridizes a single biological replicate of both 2% water phase lactate (PL) and 0.14% water phase acetate (SDA) treatments to both the control (CTRL) and combination (PLSDA) treatments (4 hybridizations), using opposite dye labels for each sample, and a second biological replicate is hybridized with dye assignments swapped (4 more hybridizations) to balance labeling effects. The design was repeated twice comprising 16 hybridizations over 4 biological replicates for each strain, and 32 total hybridizations over both h7858 and f6854.
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