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83 records · Page 5Linked to original sources

LncRNA HOTAIR contributes to cigarette smoke-induced pro-inflammatory responses in human airway epithelial cells.

Inhalation of cigarette smoke (CS) is the primary risk factor for chronic obstructive pulmonary disease (COPD), inducing epigenetic changes in the airway epithelium, including dysregulation of long-noncoding RNAs (lncRNAs). LncRNA homeobox gene transcript antisense RNA (HOTAIR) regulates chromatin remodeling and has been implicated in CS-induced malignant transformation. We hypothesized that HOTAIR expression is altered in COPD, leading to airway epithelial abnormalities. HOTAIR expression and overall survival were studied in The Cancer Genome Atlas (TCGA) database. Airway epithelial cells (AECs) were isolated from transplanted lungs of 11 patients with COPD, tracheobronchial tissue of 9 non-COPD donors, and bronchial brushings of ex-smokers with/without COPD (n = 6/group). HOTAIR expression, histone modifications, and production of proinflammatory cytokines (CXCL8 and GM-CSF) were assessed in the absence/presence of CS extract (CSE) and HOTAIR-polycomb inhibitor AQB. High HOTAIR expression correlated with poor overall survival in cancer patients with COPD, but not those without. Although HOTAIR expression was not significantly different between AECs from controls and subjects with COPD at baseline, it was significantly increased by 20% CSE only in COPD-derived AECs. CSE significantly decreased H3K4me3 levels in COPD-derived AECs, but not those from controls. AQB reduced baseline H3K27me3 levels in both groups, with a stronger effect in control-derived AECs. In addition, it reduced H3K4me3 levels in the presence of CSE in both groups. Finally, although AQB significantly suppressed CSE-induced production of GM-CSF and CXCL8 in control AECs, it failed to do so in COPD. Together, these findings suggest that COPD-derived AECs are more susceptible to CSE-induced HOTAIR upregulation, which may have a proinflammatory effect that cannot be inhibited by AQB.NEW & NOTEWORTHY COPD-derived AECs exhibit higher susceptibility to CSE-induced HOTAIR upregulation. CSE induces distinct histone modification patterns (H3K4me3) specifically in COPD-derived AECs. HOTAIR is essential for mediating CSE-induced proinflammatory responses in AECs.

Humans↗

Identification and analysis of key genes related to efferocytosis in colorectal cancer.

UNLABELLED: The impact of efferocytosis-related genes (ERGs) on the diagnosis of colorectal cancer (CRC) remains unclear. In this study, efferocytosis-associated biomarkers for the diagnosis of CRC were identified by integrating data from transcriptome sequencing and public databases. Finally, the expression of biomarkers was validated by real-time quantitative polymerase chain reaction (RT-qPCR). Our study may provide a reference for CRC diagnosis. BACKGROUND: It has been shown that some efferocytosis related genes (ERGs) are associated with the development of cancer. However, it is still uncertain how ERGs may influence the diagnosis of colorectal cancer (CRC). METHODS: In our study, the CRC cohorts were gained from transcriptome sequencing and the gene expression omnibus (GEO) database (GSE71187). Efferocytosis related biomarkers with diagnostic utility for CRC were identified through combining differentially expressed analysis, machine learning algorithms, and receiver operating characteristic (ROC) analysis. Then, infiltration abundance of immune cells between CRC and control was evaluated. The regulatory networks (including mRNA-miRNA-lncRNA and miRNA/transcription factors (TF)-mRNA networks) were created. Finally, the expression of biomarkers was validated via real-time quantitative polymerase chain reaction (RT-qPCR). RESULTS: There were 3 biomarkers (ELMO3, P2RY12, and PDK4) related diagnosis for CRC patients gained. ELMO3 was highly expressed in CRC group, while P2RY12 and PDK4 was lowly expressed. Besides, the infiltrating abundance of 3 immune cells between CRC and control groups was significantly differential, namely activated CD4 memory T cells, macrophages M0, and resting mast cells. We then constructed a mRNA-miRNA-lncRNA network containing 3 mRNAs, 33 miRNAs, and 22 lncRNAs, and a miRNA/TF-mRNA network including 3 mRNAs, 33 miRNAs, and 7 TFs. Additionally, RT-qPCR results revealed that the expression trends of all biomarkers were consistent with the transcriptome sequencing data and GSE71187. CONCLUSION: Taken together, this study provides three efferocytosis related biomarkers (ELMO3, P2RY12, and PDK4) for diagnosis of CRC, providing a scientific reference for further studies of CRC.

Humans↗

Serum lncRNA ITGB2-AS1 and ICAM-1 as novel biomarkers for rheumatoid arthritis and osteoarthritis diagnosis.

BACKGROUND: The complete circulating long non-coding RNAs (lncRNAs) signature of rheumatoid arthritis (RA) and osteoarthritis (OA) is still uncovered. The lncRNA integrin subunit beta 2 (ITGB2)-anti-sense RNA 1 (ITGB2-AS1) affects ITGB2 expression; however, there is a gap in knowledge regarding its expression and clinical usefulness in RA and OA. This study investigated the potential of serum ITGB2-AS1 as a novel diagnostic biomarker and its correlation with ITGB2 expression and its ligand intercellular adhesion molecule-1 (ICAM-1), disease activity, and severity in RA and primary knee OA patients. SUBJECTS: Forty-three RA patients, 35 knee OA patients, and 22 healthy volunteers were included. RESULTS: Compared with healthy controls, serum ITGB2-AS1 expression was upregulated in RA patients but wasn't significantly altered in knee OA patients, whereas serum ICAM-1 protein levels were elevated in both diseases. ITGB2-AS1 showed discriminative potential for RA versus controls (AUC = 0.772), while ICAM-1 displayed diagnostic potential for both RA and knee OA versus controls (AUC = 0.804, 0.914, respectively) in receiver-operating characteristic analysis. In the multivariate analysis, serum ITGB2-AS1 and ICAM-1 were associated with the risk of developing RA, while only ICAM-1 was associated with the risk of developing knee OA. A panel combining ITGB2-AS1 and ICAM-1 showed profound diagnostic power for RA (AUC = 0.9, sensitivity = 86.05%, and specificity = 91.67%). Interestingly, serum ITGB2-AS1 positively correlated with disease activity (DAS28) in RA patients and with ITGB2 mRNA expression in both diseases, while ICAM-1 positively correlated with ITGB2 expression in knee OA patients. CONCLUSION: Our study portrays serum ITGB2-AS1 as a novel potential diagnostic biomarker of RA that correlates with disease activity. A predictive panel combining ITGB2-AS1 and ICAM-1 could have clinical utility in RA diagnosis. We also spotlight the association of ICAM-1 with knee OA diagnosis. The correlation of serum ITGB2-AS1 with ITGB2 expression in both diseases may be insightful for further mechanistic studies.

Humans↗

Transcriptome changes in circulating immune cells of critical COVID-19 patients predict a specific metabolic and epigenetic imprint.

BACKGROUND: The progression to critical COVID-19 arises predominantly from a dysregulated host immune response although the underlying regulatory mechanisms still remain partially elusive. This limits a prompt prediction of the disease progression, reduces the therapeutic options and restrains our understanding of “long COVID”. METHODS: Here, we analyzed the transcriptome of peripheral blood mononuclear cells (PBMCs) collected from COVID-19 patients experiencing different degrees of the disease (mild and critical), and control patients enrolled in the clinical trial COntAGIouS as well as independent bulk RNA-seq, single-cell RNA-seq and proteomic datasets. RESULTS: In critical COVID-19 patients, the integrative analysis of transcriptomic data revealed an altered regulatory network involving microRNAs (miRNAs), long non-coding RNAs (lncRNAs), and coding genes that control mRNA translation-related genes, epigenetics, and metabolism. In parallel, we observed an upregulation of tRNA aminoacylation genes in critical COVID-19 patients by the analysis of either bulk or single-cell RNA-seq data from publicly available independent cohorts. Additionally, we found increased expression of coding genes enriched for the cognate amino acids (glycine, alanine, isoleucine and tyrosine), all related to protein localization, post-translational modifications, and cell metabolism in our cohort. Similar alterations in amino acid frequency were found in an independent proteomic dataset. CONCLUSIONS: Collectively, our findings indicate a broad perturbation of the gene expression landscape that characterizes the aberrant host immune response in critical COVID-19 patients and is potentially coordinated by miRNA and tRNA metabolism alterations. TRIAL REGISTRATION: COntAGIouS, NCT04327570. Registered 26 March 2020, https://clinicaltrials.gov/ct2/show/NCT04327570 .

Female↗

TNFα-induced endothelial extracellular vesicles regulate astrocyte function: an integrated transcriptomic and proteomic study.

Endothelial cells and astrocytes are critical structural and functional components of the blood-brain barrier. In many neuroinflammatory diseases, endothelial cells are among the first to respond to inflammatory stimuli and release extracellular vesicles (EVs). However, whether inflammatory stimulation alters EV RNA cargo and subsequently regulates astrocyte function remains unclear. In this study, we performed integrated RNA sequencing and proteomic analyses to investigate the effects of TNFα-stimulated endothelial EVs on astrocytes. RNA profiling revealed significant alterations in EV cargo after TNFα stimulation, including 867 upregulated and 577 downregulated mRNAs, 317 upregulated and 15 downregulated lncRNAs, and 88 upregulated and 62 downregulated miRNAs. The results of functional enrichment analysis suggested that altered EV RNAs may primarily promote inflammatory responses, cell migration, and RNA splicing in astrocytes while reducing their regulatory effects on neuronal projection and calcium homeostasis. Further integrative analysis of EV RNAs and astrocytic proteomics revealed key overlapping targets, including upregulated expression of ICAM1, SOD2, TFPI2, and TNFAIP8, whereas NFKBIA expression was consistently decreased. Network analysis revealed NF-κB as the central regulatory node. Reduced levels of EV-derived NFKBIA mRNA were associated with decreased IκBα protein levels in astrocytes, which promoted NF-κB activation and inflammatory cytokine release. Finally, overexpression of IκBα in astrocytes significantly attenuated TNFα EV-induced IL-1β and IL-6 secretion. Collectively, these findings demonstrate that TNFα-stimulated endothelial EVs coordinately regulate astrocyte function through mRNA, lncRNA, and miRNA cargo and that the IκBα/NF-κB axis may be a key mechanism underlying endothelial EV-mediated inflammatory disruption of the blood-brain barrier.

Astrocytes↗

Genome-wide mapping of stress-responsive lncRNA, uc.104, reveals the chromatin-mediated regulation of stress and plasticity-related genes in the hippocampus of chronic restraint rats.

Chronic stress significantly impacts hippocampal function through transcriptional and epigenetic mechanisms. While the roles of lncRNAs in stress-related transcriptional and epigenetic regulation have recently been recognized, their genome-wide functions controlling the transcriptional network remain largely unclear. Evidence indicates that the lncRNA uc.104 is involved in stress responses; however, its genome-wide chromatin interactions and gene regulatory effects are yet to be explored. To examine this, we combined chromatin isolation by RNA purification sequencing (ChIRP-seq) and RNA sequencing (RNA-seq) in the hippocampus from handled control and chronic restraint stress (CRS) rats. ChIRP-seq identified 6,664 uc.104 binding peaks under CRS, including 6,517 enriched and 149 reduced. Many peaks were mapped to intronic and promoter-proximal regions of protein-coding genes. Integration of ChIRP-seq with RNA-seq data revealed 1,839 differentially expressed genes associated with uc.104 binding sites, with 106 high-confidence overlaps. Several genes (Gabra3, Htr7, Irs1, Gpr37, Clu, Hspa1b, Ppp3r2, Nfasc, Pcdhac2, and Cysltr2) identified as regulatory targets of uc.104, have been directly implicated in stress responses, synaptic plasticity, and neuroinflammation. Gene ontology and Synapse GO (SynGO) analyses revealed significant enrichment for processes involving dendritic spine formation, synapse organization, and pre- and postsynaptic signaling. Protein-protein interaction analysis identified hub genes, including EGFR, CDC42, IGF1R, CTNNB1, CALM1, CALM3, POLR2A, MDM2, TBP, and CSNK1E, several of which have been linked to stress-responsive pathways. Together, our findings reveal that uc.104 binding to chromatin near stress- and synapse-related genes may act as a regulator of stress-responsive transcriptional networks in the hippocampus. By linking uc.104 occupancy to stress and synaptic responsive genes, this study highlights uc.104 as a potential mediator of stress-induced hippocampal malfunctions.

Animals↗

Scalable single-cell total RNA-seq reveals non-coding programs in immunity, infection, and brain development.

Non-coding RNAs represent a widespread and diverse layer of post-transcriptional regulation across cell types and states, yet much of their diversity remains uncharted at single-cell resolution. This gap stems from the limitations of widely used single-cell RNA-sequencing protocols, which focus on polyadenylated transcripts and miss many short or non-polyadenylated RNAs. Here, we adapted single-cell RNA-sequencing on the 10x Genomics platform to capture a broad complement of coding and non-coding RNAs-including miRNAs, tRNAs, lncRNAs, histone RNAs, and non-adenylated viral transcripts. This approach enabled the discovery of rich, dynamic non-coding RNA programs across immune cells, virally infected hepatocytes, and the developing human brain. In dengue virus-infected hepatocytes, we detect non-adenylated viral transcripts and distinguish active from transcriptionally quiescent infected states, each with distinct host regulatory signatures. In brain tissue, we identify biotype-specific, cell-type-restricted non-coding RNAs, including miRNAs whose expression anticorrelates with predicted targets, consistent with post-transcriptional regulatory relationships. We show that MIR137, one of the strongest GWAS loci associated with schizophrenia and intellectual disability, is expressed specifically in Cajal-Retzius cells, an early-born but transient population that guides subsequent cortical neuron migration. These findings demonstrate the importance of non-coding RNAs in defining cell identity and state, and show how expanded transcriptome coverage can reveal additional layers of gene control-now accessible through practical and scalable single-cell profiling.

Journal Article↗

Epigenetic alterations in rheumatoid arthritis: multilayer mechanisms and translational opportunities.

Rheumatoid arthritis (RA) is a chronic inflammatory disease driven by immune dysregulation, in which genetic susceptibility and environmental exposures promote persistent synovitis, progressive joint damage, and systemic comorbidities. Recent epigenomic studies show several recurring abnormalities. Many RA susceptibility variants lie outside protein-coding sequence and map to immune-cell and synovial fibroblast regulatory elements, linking inherited risk to enhancer activity, methylation quantitative trait effects, and distal gene control. Blood-based epigenome-wide association studies identify disease-associated DNA methylation signatures, but these signals require careful control for leukocyte composition, smoking, treatment exposure, and disease stage. RA fibroblast-like synoviocytes also display stable methylome remodeling, including relative hypomethylation at loci involved in inflammation, migration, matrix degradation, and apoptosis resistance, while TET3-associated 5-hydroxymethylcytosine has emerged as a functional contributor to chemokine production and invasive stromal behavior. Histone modifications, chromatin accessibility, and 3D genome organization define pathogenic regulatory states and connect non-coding risk loci to effector genes in immune and stromal compartments. Finally, miRNAs, lncRNAs, circRNAs, snoRNAs, extracellular RNAs, and m6A-related pathways add post-transcriptional and chromatin-linked layers with potential biomarker value. We synthesize these findings and discuss translational opportunities for diagnosis, stratification, flare monitoring, and therapeutic targeting, while emphasizing incomplete replication, uneven evidence across epigenetic layers, biospecimen variability, and the need for causal, longitudinal, cell-type-resolved validation.

Humans↗

Non-coding RNAs in cancer: multi-omics insights, liquid biopsy advances, drug resistance mechanisms, and the road to clinical translation.

For most of the twentieth century, the transcriptional output of the human genome was thought to be biologically inert-a characterization that has been proven wrong in almost every important respect. Non-coding RNAs (ncRNAs) such as microRNAs (miRNAs), long non-coding RNAs (lncRNAs), circular RNAs (circRNAs), small nucleolar RNAs (snoRNAs) and PIWI-interacting RNAs (piRNAs) are now thought of as vital regulators of gene expression in all the stages of cancer pathogenesis, including the initial epigenetic changes, metastatic spread and the development of therapeutic resistance. This review highlights four areas where the clinical potential of ncRNAs is most promising: reconstruction of ncRNA regulatory networks by multi-omics integration; circulating ncRNAs as minimally invasive cancer biomarkers; causal roles of ncRNAs in drug resistance through epithelial-mesenchymal plasticity, metabolic reprogramming, and stromal communication; and translation of ncRNA targeting strategies to clinical trials. We will need to invest equally in mechanistic rigor and translational infrastructure to move forward.

antisense oligonucleotides↗

LncRNA DNAJC3-AS1 promotes gastric cancer malignancy through miR-576-5p-mediated upregulation of LYPLA1.

Long non-coding RNAs (lncRNAs) are involved in tumor progression, but the role of lnc-DNAJC3-AS1 in gastric cancer (GC) remains unclear. This study aimed to investigate the biological function and regulatory mechanism of lnc-DNAJC3-AS1 in GC. Reverse transcription quantitative PCR (RT-qPCR) was used to detect the expression levels of lnc-DNAJC3-AS1, miR-576-5p, and LYPLA1, and Western blot was used to analyze protein expression. The Cancer Genome Atlas (TCGA) database and clinical samples were used to evaluate their clinical relevance. Cell viability, cell cycle distribution, apoptosis, migration, and invasion were assessed using Cell Counting Kit-8 (CCK-8), flow cytometry, wound-healing, Transwell, and immunofluorescence assays. Dual-luciferase reporter assay, RNA immunoprecipitation (RIP), fluorescence in situ hybridization (FISH), and rescue assays were performed to explore the potential regulatory relationship among lnc-DNAJC3-AS1, miR-576-5p, and LYPLA1. A xenograft tumor model was also established to evaluate the role of lnc-DNAJC3-AS1 in vivo. The results showed that lnc-DNAJC3-AS1 and LYPLA1 were upregulated, whereas miR-576-5p was downregulated in GC tissues and cells. Knockdown of lnc-DNAJC3-AS1 inhibited GC cell viability, migration, and invasion, induced G0/G1 phase arrest and apoptosis, and suppressed tumor growth in vivo. Mechanistically, lnc-DNAJC3-AS1 was mainly localized in the cytoplasm and was associated with miR-576-5p-related RNA-induced silencing complex (RISC) complexes. MiR-576-5p targeted LYPLA1, and restoration of miR-576-5p or knockdown of LYPLA1 partially attenuated the effects of lnc-DNAJC3-AS1 overexpression on GC cell phenotypes and LYPLA1 enzymatic activity. These findings suggest that lnc-DNAJC3-AS1 promotes GC progression, at least in part, through the miR-576-5p/LYPLA1 pathway, providing a potential target for GC treatment.

Gastric cancer↗

Widespread induction of SINE-RNA expression in the mouse brain following transient focal ischemia.

Ischemic stroke triggers rapid transcriptional changes in the brain, including the induction of noncoding RNAs, which are well-established regulators of post-stroke pathophysiology. Among the numerous classes of noncoding RNAs, short interspersed nuclear element RNAs (SINE-RNAs) are transcribed by Pol III and reported to be upregulated in various paradigms of cellular stress. In the ischemic brain, Pol III-driven gene expression is not well-studied and the expression of SINE-RNAs is virtually unmapped. In the current study, we used a mouse model of transient focal ischemia to evaluate for the first time post-stroke SINE-RNA expression in the cerebral cortex on a genome-wide scale. We observed SINE-RNA induction as early as 0 to 3 h of reperfusion and peak expression at 6 h of reperfusion, with 335 SINE-RNAs induced at this timepoint as compared to sham controls. Many of these transcripts remained induced through later timepoints during the acute phase of reperfusion (24 h). Fluorescence in situ hybridization against the SINE-RNAs, combined with immunohistochemistry for cell-type markers, revealed that these RNAs are localized to the nuclei of post-ischemic neurons and microglia in the ipsilateral cortex and hippocampus in both males and females. Further, we found that SINE-RNA expression was recapitulated in vitro following oxygen-glucose deprivation in HT22 hippocampal neurons, showing that they are reproducibly expressed in neurons in both in vivo and in vitro models of ischemia. Together, this is the first study to map genome-wide SINE-RNA expression in the post-ischemic brain and reveals a new layer of the noncoding transcriptome that may play a role in the post-stroke pathophysiology.

Animals↗