266) ve loci, molecular biologic pathways, and gene regulatory networks to capture the fu |
267) nsformed state in acute leukemia requires gene regulatory programs involving transcr |
268) Studies with different designs reported gene-miR regulatory axes in various cancer |
269) es for cancer cells resulted in effective gene silencing and cancer killing efficien |
270) ng small-interfering RNA (siRNA)-mediated gene silencing and small-molecule drugs ar |
271) assess cellular uptake, cytotoxicity, and gene silencing efficacy in lung adenocarci |
272) tiates innovative strategies for targeted gene silencing. |
273) istone arginine methylation in regulating gene transcription and other chromatin-tem |
274) effect is not the result of increased AR gene transcription or protein synthesis, n |
275) pigenetic events that activate or repress gene transcription. |
276) y decreased FliC production, but not fliC gene transcription. |
277) ordingly, the performance of MSN-PEG as a gene transfer carrier for GPC3-shRNA gene |
278) ed and that MSN-PEG could also serve as a gene transfer carrier for gene therapy. |
279) that combination therapies using SERCA2a gene transfer with a STAT3 inhibitor could |
280) that facilitate intra- and intercellular gene transfer. |
281) Currently, whether immunoresponsive gene 1/itaconate axis exerts a modulatory |
282) regulatory effect of the immunoresponsive gene 1/itaconate axis has been recently do |
283) te for the deficiency of immunoresponsive gene 1/itaconate axis led to enhanced micr |
284) Our results suggest that gene co-expression is highly plastic and t |
285) ted genes in burn scar tissue by weighted gene co-expression network analysis (WGCNA |
286) es in the Young (TEDDY) study to generate gene co-expression networks. |
287) Gene coexpression networks based on the hu |
288) Next, two distinct methods of weighted gene coexpression network analysis (WGCNA) |
289) After aggregation of gene coexpression networks based on the hu |
290) Gene duplications of KU70 have the hallmar |
291) functional diversification after repeated gene duplications. |
292) urred through multiple, relatively recent gene duplications. |
293) Gene ontology (GO) and Kyoto Encyclopedia |
294) Gene ontology analysis of the budesonide-m |
295) After clustering and gene ontology analysis, 23 molecular marke |
296) ase of the cell cycle, and it modulates a gene signature associated with DNA deamina |
297) TCGA has recently revealed that a hypoxia gene signature is associated with poor UM |
298) This gene signature was validated in an indepen |
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