Triterpenes from Ganoderma lucidum inhibit hepatocellular carcinoma by regulating enhancer-associated lncRNA in vivo.

ETHNOPHARMACOLOGICAL RELEVANCE: Ganoderma lucidum (G. lucidum) has been widely used as adjuvant of anti-tumor therapy for variety tumors. The bioactive ingredients of G. lucidum mainly include triterpenes, such as Ganoderic acid A, Ganoderic acid B, Ganoderenic acid A, Ganoderenic acid B, Ganoderenic acid D, and Ganoderic acid X. However, the effects and underlying mechanisms of G. lucidum are often challenging in hepatocellular carcinoma (HCC) treatment. AIM OF THE STUDY: To explore the potential role and mechanism of enhancer-associated lncRNAs (en-lncRNAs) in G. lucidum treated HCC through the in vivo and in vitro experiments. MATERIALS AND METHODS: Hepa1-6-bearing C57 BL/6 mice model were established to evaluate the therapeutic efficacy of G. lucidum treated HCC. Ki67 and TUNEL staining were used to detect the tumor cell proliferation and apoptosis in vivo. The Mouse lncRNA 4*180K array was implemented to identify the differentially expressed (DE) lncRNAs and mRNAs of G. lucidum treated tumor mice. The constructed lncRNA-mRNA co-expression network and bioinformatics analysis were used to selected core en-lncRNAs and its neighboring genes. The UPLC-MS method was used to identify the triterpenes of G. lucidum, and the in vitro experiments were used to verify which triterpene monomers regulated en-lncRNAs in tumor cells. Finally, a stable knockdown/overexpression cell lines were used to confirm the relationship between en-lncRNA and neighboring gene. RESULTS: Ki67 and TUNEL staining demonstrated G. lucidum significantly inhibited tumor growth, suppressed cell proliferation and induced apoptosis in vivo. Transcriptomic analysis revealed the existence of 126 DE lncRNAs high correlated with 454 co-expressed mRNAs in G. lucidum treated tumor mice. Based on lncRNA-mRNA network and qRT-PCR validation, 6 core lncRNAs were selected and considered high correlated with G. lucidum treatment. Bioinformatics analysis revealed FR036820 and FR121302 might act as enhancers, and qRT-PCR results suggested FR121302 might enhance Popdc2 mRNA level in HCC. Furthermore, 6 main triterpene monomers of G. lucidum were identified by UPLC-MS method, and in vitro experiments showed FR121302 and Popdc2 were significantly suppressed by Ganoderenic acid A and Ganoderenic acid B, respectively. The knock/overexpression results demonstrated that FR121302 activating and enhancing Popdc2 expression levels, and Ganoderenic acid A and Ganoderenic acid B dramatically suppressed FR121302 and decreased Popdc2 level in Hepa1-6 cells. CONCLUSIONS: Enhancer-associated lncRNA plays a crucial role as an enhancer during hepatocarcinogenesis, and triterpenes of G. lucidum significantly inhibited tumor cell proliferation and induced apoptosis by regulating en-lncRNAs. Our study demonstrated Ganoderenic acid A and Ganoderenic acid B suppressed en-lncRNA FR121302 may be one of the critical strategies of G. lucidum inhibit hepatocellular carcinoma growth.

Machine and Deep Learning Methods for Predicting 3D Genome Organization.

Three-dimensional (3D) chromatin interactions, such as enhancer-promoter interactions (EPIs), loops, topologically associating domains (TADs), and A/B compartments, play critical roles in a wide range of cellular processes by regulating gene expression. Recent development of chromatin conformation capture technologies has enabled genome-wide profiling of various 3D structures, even with single cells. However, current catalogs of 3D structures remain incomplete and unreliable due to differences in technology, tools, and low data resolution. Machine learning methods have emerged as an alternative to obtain missing 3D interactions and/or improve resolution. Such methods frequently use genome annotation data (ChIP-seq, DNAse-seq, etc.), DNA sequencing information (k-mers and transcription factor binding site (TFBS) motifs), and other genomic properties to learn the associations between genomic features and chromatin interactions. In this review, we discuss computational tools for predicting three types of 3D interactions (EPIs, chromatin interactions, and TAD boundaries) and analyze their pros and cons. We also point out obstacles to the computational prediction of 3D interactions and suggest future research directions.

Prediction of Enhancer-Gene Interactions Using Chromatin-Conformation Capture and Epigenome Data Using STARE.

Disentangling the relationship of enhancers and genes is an ongoing challenge in epigenomics. We present STARE, our software to quantify the strength of enhancer-gene interactions based on enhancer activity and chromatin contact data. It implements the generalized Activity-by-Contact (gABC) score, which allows predicting putative target genes of candidate enhancers over any desired genomic distance. The only requirement for its application is a measurement of enhancer activity. In addition to regulatory interactions, STARE calculates transcription factor (TF) affinities on gene level. We illustrate its usage on a public single-cell data set of the human heart by predicting regulatory interactions on cell type level, by giving examples on how to integrate them with other data modalities, and by constructing TF affinity matrices.

Learning Enhancer-Gene associations from Bulk Transcriptomic and Epigenetic Sequencing Data with STITCHIT.

To reveal gene regulation mechanisms, it is essential to understand the role of regulatory elements, which are possibly distant from gene promoters. Integrative analysis of epigenetic and transcriptomic data can be used to gain insights into gene-expression regulation in specific phenotypes. Here, we discuss STITCHIT, an approach to dissect epigenetic variation in a gene-specific manner across many samples for the identification of regulatory elements without relying on peak calling algorithms. The obtained genomic regions are then further refined using a regularized linear model approach, which can also be used to predict gene expression. We illustrate the use of STITCHIT using H3k27ac ChIP-seq and RNA-seq data from the International Human Epigenome Consortium (IHEC).

Curcumin pretreatment attenuates myocardial ischemia/reperfusion injury by inhibiting ferroptosis, autophagy and apoptosis via HES1.

The early restoration of hemodynamics/reperfusion in acute myocardial infarction (AMI) is an effective therapeutic strategy to reduce sudden death and improve patient prognosis. However, reperfusion induces additional cardiomyocyte damage and cardiac tissue dysfunction. In this context, turmeric­derived curcumin (Cur) has been shown to exhibit a protective effect against myocardial ischemia/reperfusion injury (I/RI). The molecular mechanism of its activity, however, remains unclear. The current study investigated the protective effect of Cur and its molecular mechanism via in vitro experiments. The Cell Counting Kit­8 and lactate dehydrogenase (LDH) assay kit were used to assess the cell viability and cytotoxicity. The contents of malondialdehyde (MDA), superoxide dismutase (SOD), glutathione peroxidase, glutathione (GSH)/glutathione disulfide (GSSG), total iron, ferrous iron, caspase­3 and reactive oxygen species (ROS) were measured using an appropriate kit. Western blotting was used to detect the expression of relevant proteins. The levels of apoptosis, mitochondrial permeability transition pore (MPTP) opening, and mitochondrial membrane potential (MMP) were detected by flow cytometry. The study findings indicated that anoxia/reoxygenation (A/R) injury significantly decreased cell viability, increased in LDH and caspase­3 activities, induced ferroptosis, increased apoptosis and overactivated autophagy. However, pretreatment with Cur or ferrostatin­1 (Fer­1, a ferroptosis inhibitor) significantly increased A/R­reduced cell viability, SOD, glutathione peroxidase activity, GSH/GSSH ratio and HES1 and glutathione peroxidase 4 protein expression; attenuated A/R­induced LDH, MDA, total iron, ferrous iron, prostaglandin­endoperoxide synthase 2 protein expression and prevented ROS overproduction and MMP loss. In addition, Cur inhibited caspase­3 activity, upregulated the Bcl­2/Bax ratio, reduced apoptotic cell number and inhibited MPTP over­opening. Furthermore, Cur increased P62, LC3II/I, NDUFB8 and UQCRC2 expression and upregulated the p­AMPK/AMPK ratio. However, erastin (a ferroptosis activator), pAD/HES1­short hairpin RNA, rapamycin (an autophagy activator) and Compound C (an AMPK inhibitor) blocked the protective effect of Cur. In conclusion, Cur pretreatment inhibited ferroptosis, autophagy overactivation and oxidative stress; improved mitochondrial dysfunction; maintained energy homeostasis; attenuated apoptosis; and ultimately protected the myocardium from A/R injury via increased HES1 expression.

Identification and characterization of an enhancer element regulating expression of Cdkn1c (p57 gene).

The mammalian p57 protein is a member of the CIP/KIP family of cyclin-dependent kinase inhibitors and plays an essential role in the development of multiple tissues during embryogenesis as well as in the maintenance of tissue stem cells in adults. Although several transcription factors have been implicated in regulating the p57 gene, cis-elements such as enhancers that regulate its expression have remained ill-defined. Here we identify a candidate enhancer for the mouse p57 gene (Cdkn1c) within an intron of the Kcnq1 locus by 4C-seq analysis in mouse embryonic stem cells (mESCs). Deletion of this putative enhancer region with the CRISPR-Cas9 system or its suppression by CRISPR interference resulted in a marked attenuation of Cdkn1c expression in differentiating mESCs. Our results thus suggest that this region may serve as an enhancer for the p57 gene during early mouse embryogenesis.

Syntenic lncRNA locus exhibits DNA regulatory functions with sequence evolution.

Syntenic long non-coding RNAs (lncRNAs) often show limited sequence conservation across species, prompting concern in the field. This study delves into functional signatures of syntenic lncRNAs between humans and zebrafish. Syntenic lncRNAs are highly expressed in zebrafish, with ∼90 % located near protein-coding genes, either in sense or antisense orientation. During early zebrafish development and in human embryonic stem cells (H1-hESC), syntenic lncRNA loci are enriched with cis-regulatory repressor signatures, influencing the expression of development-associated genes. In later zebrafish developmental stages and specific human cell lines, these syntenic lncRNA loci function as enhancers or transcription start sites (TSS) for protein-coding genes. Analysis of transposable elements (TEs) in syntenic lncRNA sequences revealed intriguing patterns: human lncRNAs are enriched in simple repeat elements, while their zebrafish counterparts show enrichment in LTR elements. This sequence evolution likely arises from post-rearrangement mutations that enhance DNA elements or cis-regulatory functions. It may also contribute to vertebrate innovation by creating novel transcription factor binding sites within the locus. This study highlights the conserved functionality of syntenic lncRNA loci through DNA elements, emphasizing their conserved roles across species despite sequence divergence.

Acetylcholine receptor-ß inhibition by interleukin-6 in skeletal muscles contributes to modulating neuromuscular junction during aging.

BACKGROUND: Aging-related strength decline contributes to physiological deterioration and is a good predictor of poor prognosis. However, the mechanisms underlying neuromuscular junction disorders affecting contraction in aging are not well described. We hypothesized that the autocrine effect of interleukin (IL)-6 secreted by skeletal muscle inhibits acetylcholine receptor (AChR) expression, potentially causing aging-related strength decline. Therefore, we investigated IL-6 and AChR ß-subunit (AChR-ß) expression in the muscles and sera of aging C57BL/6J mice and verified the effect of IL-6 on AChR-ß expression. METHODS: Animal experiments, in vitro studies, bioinformatics, gene manipulation, dual luciferase reporter gene assays, and chromatin immunoprecipitation experiments were used to explore the role of the transcription cofactor peroxisome proliferator-activated receptor gamma coactivator 1-α (PGC1α) and its interacting transcription factors in the IL-6-mediated regulation of AChR-ß expression. RESULTS: IL-6 expression gradually increased during aging, inhibiting AChR-ß expression, which was reversed by tocilizumab. Both tocilizumab and the PGC1α agonist reversed the inhibiting effect of IL-6 expression on AChR-ß. Compared to inhibition of signal transducer and activator of transcription 3, extracellular signal-regulated kinases 1/2 (ERK1/2) inhibition suppressed the effects of IL-6 on AChR-ß and PGC1α. In aging mouse muscles and myotubes, myocyte enhancer factor 2 C (MEF2C) was recruited by PGC1α, which directly binds to the AChR-ß promoter to regulate its expression. CONCLUSIONS: This study verifies AChR-ß regulation by the IL-6/IL-6R-ERK1/2-PGC1α/MEF2C pathway. Hence, evaluating muscle secretion, myokines, and AChRs at an earlier stage to determine pathological progression is important. Moreover, developing intervention strategies for monitoring, maintaining, and improving muscle structure and function is necessary.

Regulatory genome annotation of 33 insect species.

Annotation of newly sequenced genomes frequently includes genes, but rarely covers important non-coding genomic features such as the cis-regulatory modules-e.g., enhancers and silencers-that regulate gene expression. Here, we begin to remedy this situation by developing a workflow for rapid initial annotation of insect regulatory sequences, and provide a searchable database resource with enhancer predictions for 33 genomes. Using our previously developed SCRMshaw computational enhancer prediction method, we predict over 2.8 million regulatory sequences along with the tissues where they are expected to be active, in a set of insect species ranging over 360 million years of evolution. Extensive analysis and validation of the data provides several lines of evidence suggesting that we achieve a high true-positive rate for enhancer prediction. One, we show that our predictions target specific loci, rather than random genomic locations. Two, we predict enhancers in orthologous loci across a diverged set of species to a significantly higher degree than random expectation would allow. Three, we demonstrate that our predictions are highly enriched for regions of accessible chromatin. Four, we achieve a validation rate in excess of 70% using in vivo reporter gene assays. As we continue to annotate both new tissues and new species, our regulatory annotation resource will provide a rich source of data for the research community and will have utility for both small-scale (single gene, single species) and large-scale (many genes, many species) studies of gene regulation. In particular, the ability to search for functionally related regulatory elements in orthologous loci should greatly facilitate studies of enhancer evolution even among distantly related species.

Integrated multi-omics profiling reveals the ZZZ3/CD70 axis is a super-enhancer-driven regulator of diffuse large B-cell lymphoma cell-natural killer cell interactions.

Tumor immune microenvironment is crucial for diffuse large B-cell lymphoma (DLBCL) development. However, the mechanisms by which super-enhancers (SEs) regulate the interactions between DLBCL cells and tumor-infiltrating immune cells remains largely unknown. This study aimed to investigate the role of SE-controlled genes in regulating the interactions between DLBCL cells and tumor-infiltrating immune cells. Single-cell RNA-seq, bulk RNA-seq and H3K27ac ChIP-seq data were downloaded from the Heidelberg Open Research Data database and Gene Expression Omnibus database. HOMER algorithm and Seurat package in R were used for bioinformatics analysis. Cell proliferation and lactate dehydrogenase (LDH) release was detected by MTS and LDH release assays, respectively. Interaction between B cell cluster and CD8+ T cell and NK cell cluster was most obviously enhanced in DLBCL, with CD70-CD27, MIF-CD74/CXCR2 complex, MIF-CD74/CD44 complex and CCL3-CCR5 interactions were significantly increased. NK cell sub-cluster showed the strongest interaction with B cell cluster. ZZZ3 upregulated the transcription of CD70 by binding to its SE. Silencing CD70 in DOHH2 cells significantly promoted the proliferation of co-cultured NK92 cells and LDH release from DOHH2 cells, which was counteracted by ZZZ3 overexpression in DOHH2 cells. CD70 silencing combined with PD-L1 blockade promoted LDH release from DOHH2 cells co-cultured with NK92 cells. In conclusion, DLBCL cells inhibited the proliferation and killing of infiltrating NK cells by regulating ZZZ3/CD70 axis. Targeting ZZZ3/CD70 axis combined with PD-L1 blockade is expected to be a promising strategy for DLBCL treatment.

Enhancer reprogramming underlies therapeutic utility of a SMARCA2 degrader in SMARCA4 mutant cancer.

Genomic studies have identified frequent mutations in subunits of the SWI/SNF (switch/sucrose non-fermenting) chromatin remodeling complex including SMARCA4 and ARID1A in non-small cell lung cancer (NSCLC). Genetic evidence indicates that the paralog SMARCA2 is synthetic lethal to SMARCA4 suggesting SMARCA2 is a valuable therapeutic target. However, the discovery of selective inhibitors of SMARCA2 has been challenging. Here, we utilized structure-activity relationship (SAR) studies to develop YD23, a potent and selective proteolysis targeting chimera (PROTAC) targeting SMARCA2. Mechanistically, we show that SMARCA2 degradation induces reprogramming of the enhancer landscape in SMARCA4-mutant cells with loss of chromatin accessibility at enhancers of genes involved in cell proliferation. Furthermore, we identified YAP/TEADas key partners to SMARCA2 in driving growth of SMARCA4-mutant cells. Finally, we show that YD23 has potent tumor growth inhibitory activity in SMARCA4-mutant xenografts. These findings provide the mechanistic basis for development of SMARCA2 degraders as synthetic lethal therapeutics against SMARCA4-mutant lung cancers.

Mitigation of biocorrosion of X80 carbon steel by a shale microbiome biofilm using a green biocide enhanced by d-amino acids.

Microbiologically influenced corrosion (MIC) in shale gas field is a major threat with the hydraulic fracturing fluid injected into the subsurface. In this study, the microbiome collected from a shale gas produced water sample was extracted and cultivated in ATCC 1249 medium modified with 10 g/L NaCl anaerobically at 30 °C. d-amino acids, which were reported as biocide enhancers, were found to enhance 2,2-dibromo-3-nitrilopropionamide (DBNPA) biocide on the mitigation of shale microbiome MIC on X80 carbon steel. The combination of 50 ppm (w/w) d-leucine + 50 ppm d-alanine + 1 ppm d-tyrosine had the best enhancement effect on 50 ppm DBNPA with 84 % less weight loss, and 67 % lower corrosion current density (icorr) compared to 50 ppm DBNPA alone. The corrosion data were consistent with the enhanced biofilm inhibition observation. The experimental data also indicated that d-tyrosine used alone at a low dosage of 1 ppm enhanced DBNPA considerably, with 44 % less weight loss and 47 % less icorr. The electrochemical results showed the positive response of shale gas microbiome biofilm to the injected magnetite nanoparticles indicating the extracellular electron transfer might be a main mechanism for its corrosion.

HOXDeRNA activates a cancerous transcription program and super enhancers via genome-wide binding.

The role of long non-coding RNAs (lncRNAs) in malignant cell transformation remains elusive. We previously identified an enhancer-associated lncRNA, LINC01116 (named HOXDeRNA), as a transformative factor converting human astrocytes into glioma-like cells. Employing a combination of CRISPR editing, chromatin isolation by RNA purification coupled with sequencing (ChIRP-seq), in situ mapping RNA-genome interactions (iMARGI), chromatin immunoprecipitation sequencing (ChIP-seq), HiC, and RNA/DNA FISH, we found that HOXDeRNA directly binds to CpG islands within the promoters of 35 glioma-specific transcription factors (TFs) distributed throughout the genome, including key stem cell TFs SOX2, OLIG2, POU3F2, and ASCL1, liberating them from PRC2 repression. This process requires a distinct RNA quadruplex structure and other segments of HOXDeRNA, interacting with EZH2 and CpGs, respectively. Subsequent transformation activates multiple oncogenes (e.g., EGFR, miR-21, and WEE1), driven by the SOX2- and OLIG2-dependent glioma-specific super enhancers. These results help reconstruct the sequence of events underlying the process of astrocyte transformation, highlighting HOXDeRNA's central genome-wide activity and suggesting a shared RNA-dependent mechanism in otherwise heterogeneous and multifactorial gliomagenesis.

Mechanistic differences in eukaryotic initiation factor requirements for eIF4GI-driven cap-independent translation of structured mRNAs.

Protein translation is globally downregulated under stress conditions. Many proteins that are synthesized under stress conditions use a cap-independent translation initiation pathway. A subset of cellular mRNAs that encode for these proteins contain stable secondary structures within their 5' untranslated region (5'UTR), and initiate cap-independent translation using elements called Cap-Independent Translation Enhancers (CITEs) or Internal Ribosome Entry Sites (IRESs) within their 5'UTRs. The interaction among initiation factors such as eIF4E, eIF4A and eIF4GI, especially in regulating the eIF4F complex during non-canonical translation initiation of different 5'UTR mRNAs, is poorly understood. Here, equilibrium-binding assays, circular dichroism studies and in vitro translation assays were employed to elucidate the recruitment of these initiation factors to the highly structured 5'UTRs of fibroblast-growth factor 9 (FGF-9) and hypoxia inducible factor 1 subunit alpha (HIF-1α) encoding mRNAs. We showed that eIF4A and eIF4E enhanced eIF4GI's binding affinity to the uncapped 5'UTR of HIF-1α mRNA, inducing conformational changes in the protein/RNA complex. In contrast, these factors have no effect on the binding of eIF4GI to the 5'UTR of FGF-9 mRNA. Recently, Izidoro, M. S. et al. reported that the interaction of 42nt unstructured RNA to human eIF4F complex is dominated by eIF4E and ATP-bound state of eIF4A. Here we show that structured 5'UTR mRNA binding mitigates this requirement. Based on these observations, we describe two possible cap-independent translation mechanisms for FGF-9 and HIF-1α encoding mRNAs employed by cells to mitigate cellular stress conditions.

Exploring epigenetic dynamics unveils a super-enhancer-mediated NDRG1-ß-catenin axis in modulating gemcitabine resistance in pancreatic cancer.

Chemoresistance remains a formidable challenge in pancreatic ductal adenocarcinoma (PDAC) treatment, necessitating a comprehensive exploration of underlying molecular mechanisms. This work aims to investigate the dynamic epigenetic landscape during the development of gemcitabine resistance in PDAC, with a specific focus on super-enhancers and their regulatory effects. We employed well-established gemcitabine-resistant (Gem-R) PDAC cell lines to perform high-throughput analyses of the epigenome, enhancer connectome, and transcriptome. Our findings revealed notable alterations in the epigenetic landscape and genome architecture during the transition from gemcitabine-sensitive to -resistant PDAC cells. Remarkably, we observed substantial plasticity in the activation status of super-enhancers, with a considerable proportion of these cis-elements becoming deactivated in chemo-resistant cells. Furthermore, we pinpointed the NDRG1 super-enhancer (NDRG1-SE) as a crucial regulator in gemcitabine resistance among the loss-of-function super-enhancers. NDRG1-SE deactivation induced activation of WNT/ß-catenin signaling, thereby conferring gemcitabine resistance. This work underscores a NDRG1 super-enhancer deactivation-driven ß-catenin pathway activation as a crucial regulator in the acquisition of gemcitabine-resistance. These findings advance our understanding of PDAC biology and provide valuable insights for the development of effective therapeutic approaches against chemoresistance in this malignant disease.

Transcriptome-Wide Profiling of Nascent RNA in Neurons with Enriched H3K27ac Signal Elevates eRNA Identification Efficiency.

Growing evidence suggests that activity-dependent gene expression is crucial for neuronal plasticity and behavioral experience. Enhancer RNAs (eRNAs), a class of long noncoding RNAs, play a key role in these processes. However, eRNAs are highly dynamic and are often present at lower levels than their corresponding mRNAs, making them difficult to detect using total RNA-seq techniques. Nascent RNA sequencing, which separates nascent RNAs from the steady-state RNA population, has been shown to increase the ability to detect activity-induced eRNAs with a higher signal-to-noise ratio. However, there is a lack of bioinformatic tools or pipelines for detecting eRNAs utilizing nascent RNA-seq and other multiomics data sets. In this study, we addressed this gap by developing a novel bioinformatic framework, e-finder, for finding eRNAs and have made it available to the scientific community. Additionally, we reanalyzed our previous nascent RNA sequencing data and compared them with total RNA-seq data to identify activity-regulated RNAs in neuronal cell populations. Using H3K27 acetylome data, we characterized activity-dependent eRNAs that drive the transcriptional activity of the target genes. Our analysis identified a subset of eRNAs involved in mediating synapse organization, which showed increased activity-dependent transcription after the potassium chloride stimulation. Notably, our data suggest that nascent RNA-seq with an enriched H3K27ac signal exhibits high resolution to identify potential eRNAs in response to membrane depolarization. Our findings uncover the role of the eRNA-mediated gene activation network in neuronal systems, providing new insights into the molecular processes characterizing neurological diseases.

Super-enhancer-driven ZFP36L1 promotes PD-L1 expression in infiltrative gastric cancer.

Gastric cancer (GC) is a major cause of cancer-related mortality worldwide. Despite the widespread recognition of tumor immunotherapy in treating unresectable GC, challenges, including ineffective immunotherapy and drug resistance, persist. Therefore, understanding the regulatory mechanisms of PD-L1, particularly in the context of super-enhancers (SEs) and zinc finger protein 36 ring finger protein-like 1 (ZFP36L1) RNA-binding protein, is crucial. In this study, we performed H3K27ac Cleavage Under Targets and Tagmentation (CUT&Tag) sequencing, investigated the heterogeneity of SEs between two GC subtypes with differential growth patterns, and revealed the immune escape signatures driven by ZFP36L1-SE in infiltrative GC through SEs inhibitors treatment. The regulation of ZFP36L1 to PD-L1 was evaluated by quantitative PCR, western blot, flow cytometry, and immunohistochemistry. Furthermore, we explored its regulatory mechanisms using a combination of molecular biology techniques, including luciferase reporter assay, GST/RNA pull-down, chromatin immunoprecipitation (ChIP)/RIP experiments, and in vivo functional assays. We demonstrated that ZFP36L1, driven by an SE, enhances IFN-γ-induced PD-L1 expression, with SPI1 identified as the specific transcription factor binding to ZFP36L1-SE. Mechanistically, ZFP36L1 binds to the adenylate uridylate-rich element in the 3' untranslated region (3'UTR) of HDAC3 mRNA, exacerbating its mRNA decay, and thereby facilitating PD-L1 abnormal transcriptional activation. Collectively, our findings provide mechanistic insights into the role of the SPI1-ZFP36L1-HDAC3-PD-L1 signaling axis in orchestrating immune escape mechanisms in GC, thereby offering valuable insights into the potential targets for immune checkpoint therapy in GC management.

MEF2C Alleviates Postoperative Cognitive Dysfunction by Repressing Ferroptosis.

BACKGROUND: Ferroptosis, a form of programmed cell death featured by lipid peroxidation, has been proposed as a potential etiology for postoperative cognitive dysfunction (POCD). Myocyte-specific enhancer factor 2C (MEF2C), a transcription factor expressed in various brain cell types, has been implicated in cognitive disorders. This study sought to ascertain whether MEF2C governs postoperative cognitive capacity by affecting ferroptosis. METHODS: Transcriptomic analysis of public data was used to identify MEF2C as a candidate differentially expressed gene in the hippocampus of POCD mice. The POCD mouse model was established via aseptic laparotomy under isoflurane anesthesia after treatment with recombinant adeno-associated virus 9 (AAV9)-mediated overexpression of MEF2C and/or the glutathione peroxidase 4 (GPX4) inhibitor RSL3. Cognitive performance, Nissl staining, and ferroptosis-related parameters were assessed. Dual-luciferase reporter gene assays and chromatin immunoprecipitation assays were implemented to elucidate the mechanism by which MEF2C transcriptionally activates GPX4. RESULTS: MEF2C mRNA and protein levels decreased in the mouse hippocampus following anesthesia and surgery. MEF2C overexpression ameliorated postoperative memory decline, hindered lipid peroxidation and iron accumulation, and enhanced antioxidant capacity, which were reversed by RSL3. Additionally, MEF2C was found to directly bind to the Gpx4 promoter and activate its transcription. CONCLUSIONS: Our findings suggest that MEF2C may be a promising therapeutic target for POCD through its negative modulation of ferroptosis.

circ_0006988 promotes gastric cancer cell proliferation, migration and invasion through miRNA-92a-2-5p/TFAP4 axis.

Aim: To explore precise function and underlying mechanism of circ_0006988 in gastric cancer (GC).Materials & methods: GC tissues were collected clinically, and GC cells were purchased from the company. Quantitative real-time polymerase chain reaction and western blot were used to detect mRNA and protein expression. Functional analysis was performed through CCK-8, Transwell and scratch experiment. Binding relationship was validated through dual luciferase reporter and RNA immunoprecipitation assays. HGC-27 cells were subcutaneously injected into mice to construct a xenograft tumor model.Results: In GC tissues and cells, circ_0006988 overexpressed, promoting proliferation, migration and invasion. MiRNA-92a-2-5p downregulation or TFAP4 overexpression weakened effects of circ_0006988 silencing on GC progression.Conclusion: circ_0006988 facilitates GC development through miRNA-92a-2-5p/TFAP4 axis.

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miR-4448/Girdin/Akt/AMPK axis inhibits EZH2-mediated EMT and tumorigenesis in small-cell lung cancer.

BACKGROUND: Small-cell lung cancer (SCLC) shows high enhancer of zeste homolog 2 (EZH2) expressions. EZH2-mediated epigenetics promote epithelial-mesenchymal transition (EMT), enhancing invasive and metastatic potential in malignancies. MicroRNAs (miRNAs), small noncoding RNAs, modulate EMT, determining tumor phenotypes. However, the association between miRNAs and EZH2 in SCLC remains to be clarified-we aimed to identify a novel tumorigenic mechanism through miRNAs, EZH2, and EMT in SCLC, leading to future therapeutic applications. METHODS: We analyzed EZH2 and E-cadherin expressions in lung cancer cell lines and tumor tissues from 34 SCLC patients and confirmed EZH2 siRNA-mediated EMT inhibition. miRNA expression profiles were compared between EZH2 knockdown SCLC cells and negative control SCLC cells using miRNA array. We identified a target miRNA of EZH2 showing expressional differences in EZH2-knockdown cells and analyzed the impact of the miRNA on EZH2-mediated EMT and tumorigenesis. RESULTS: All SCLC cells showed increased EZH2 and decreased E-cadherin expressions. SCLC tissues had higher EZH2 and lower E-cadherin expressions than other lung cancer tissues. miRNA array revealed that miR-4448 expression increased in EZH2-knockdown SCLC cells. miR-4448 overexpression reduced tumor cell growth and prevented EMT. miR-4448 bound to the 3'UTR of the girdin gene and suppressed its expression, thereby decreasing Akt phosphorylation at Ser473. Attenuated Akt phosphorylation resulted in AMP-activated protein kinase (AMPK) phosphorylation at Thr172 and 183, enhancing EZH2 phosphorylation at Thr311. CONCLUSION: SCLC characterized high EZH2 expression and promoted EMT, compared with non-small cell lung cancer. miR-4448 inhibited Girdin expression, reducing Akt phosphorylation, and enhancing AMPK and EZH2 phosphorylation. Eventually, miR-4448 prevented EZH2-mediated EMT and tumorigenesis by modulating the Girdin/Akt/AMPK axis in SCLC. miR-4448 might be a potential SCLC inhibitor.