Non-coding Transcripts Research Articles

THU489 The Role Of Noncoding Genes With The Bidirectional Promoter In Triple-negative Breast Cancer

Abstract Disclosure: B. Yang: None. M. Sedano: None. M.V. Jimenez: None. E.I. Ramos: None. S. Gadad: None. Breast cancer is the second leading cause of cancer mortality in women after lung cancer. Breast cancer is grouped into different molecular subtypes; triple-negative breast cancer (TNBC) accounts for 20%. TNBC is a highly aggressive histologic subtype; the lack of unique therapeutic targets makes it harder to treat. Recent studies have implicated genes involved in cancers that are transcribed using a process known as divergent transcription. The expression of these genes is tightly regulated; however, many escape regulation and become aberrantly expressed in tumors. Interestingly, our genomic analysis suggests that several of these genes encode noncoding transcripts. Analysis of transcriptome from different tissue types, including cancer and normal, revealed that many are upregulated in various cancers. Selected divergent transcript, such as lncRNA67, has been completely characterized (transcription start and stop site, 5’ cap, polyA tail, and exon/intron structure) and cloned. In functional assays, overexpression of lncRNA67 regulates gene expression, cell proliferation, and tumor growth. Our molecular analyses indicate that lncRNA67 plays a vital role in triple-negative breast cancer biology. Collectively, our results suggest that divergent transcripts are an integral component of cancer biology and present a new repertoire of diagnostic and potential therapeutic targets. Presentation: Thursday, June 15, 2023

Identification of lncRNA and weighted gene coexpression network analysis of germinating Rhizopus delemar causing mucormycosis

ABSTRACT Rhizopus delemar, an opportunistic fungal pathogen, causes a highly fatal disease, mucormycosis. Spore germination is a crucial mechanism for disease pathogenesis. Thus, exploring the molecular mechanisms of fungal germination would underpin our knowledge of such transformation and, in turn, help control mucormycosis. To gain insight into the developmental process particularly associated with cell wall modification and synthesis, weighted gene co-expression network analysis (WGCNA) was performed including both coding and non-coding transcripts identified in the current study, to find out the module of interest in the germination stages. The module-trait relationship identified a particular module to have a high correlation only at the resting phase and further analysis revealed the module to be enriched for protein phosphorylation, carbohydrate metabolic process, and cellular response to stimulus. Moreover, co-expression network analysis of highly connected nodes revealed cell wall modifying enzymes, especially those involved in mannosylation, chitin-glucan crosslinking, and polygalacturonase activities co-expressing and interacting with the novel lncRNAs among which some of them predicted to be endogenous target mimic (eTM) lncRNAs. Hence, the present study provides an insight into the onset of spore germination and the information on the novel non-coding transcripts with key cell wall–related enzymes as potential targets against mucormycosis.

Chromosome-level assembly and annotation of the Xyrichtys novacula (Linnaeus, 1758) genome.

The pearly razorfish (Xyrichtys novacula), commonly known as raor in the Balearic Islands, is a wrasse within the family Labridae. This fish species has particular biological and socio-cultural characteristics making it an ideal model organism in the fields of behavioural ecology, molecular ecology and conservation biology. In this study, we present the first annotated chromosome-level assembly for this species. Sequencing involved a combination of long reads with Oxford Nanopore Technologies, Illumina paired-end short reads (2 × 151 bp), Hi-C and RNA-seq from different tissues. The nuclear genome assembly has a scaffold N50 of 34.33 Mb, a total assembly span of 775.53 Mb and 99.63% of the sequence assembled into 24 superscaffolds, consistent with its known karyotype. Quality metrics revealed a consensus accuracy (QV) of 42.92 and gene completeness > 98%. The genome annotation resulted in 26,690 protein-coding genes and 12,737 non-coding transcripts. The coding regions encoded 39,613 unique protein products, 93% of them with assigned function. Overall, the publication of the X. novacula's reference genome will broaden the scope and impact of genomic research conducted on this iconic and colourful species.

Targeting lncRNA NEAT1 hampers Alzheimer's disease progression.

Long noncoding RNA nuclear enriched abundant transcript 1 (lnc-NEAT1) is closely implicated in neurological diseases, while its implication in Alzheimer's disease (AD) is rarely reported. This study aimed to investigate the effect of lnc-NEAT1 knockdown on neuron injury, inflammation, and oxidative stress in AD, as well as its interaction with downstream targets and pathways. APPswe/PS1dE9 transgenic mice were injected with negative control or lnc-NEAT1 interference lentivirus. Besides, AD cellular model was constructed by amyloid β treatment in mice primary neuron cells; then, knockdown of lnc-NEAT1 and microRNA-193a was performed alone or in combination. In vivo experiments revealed that Lnc-NEAT1 knockdown improved cognition in AD mice reflected by Morrison water maze and Y-maze assays. Besides, lnc-NEAT1 knockdown reduced injury and apoptosis, decreased inflammatory cytokine levels, repressed oxidative stress level, and activated adenosine cyclophosphate response element-binding protein (CREB)/brain-derived neurotrophic factor (BDNF) and nuclear factor erythroid 2-related factor 2 (NRF2)/nicotinamide adenine dinucleotide phosphate dehydrogenase 1 (NQO1) pathways in hippocampi of AD mice. Notably, lnc-NEAT1 down-regulated microRNA-193a both in vitro and in vivo and acted as a decoy of microRNA-193a. In vitro experiments showed that lnc-NEAT1 knockdown decreased apoptosis and oxidative stress, improved cell viability, also activated CREB/BDNF and NRF2/NQO1 pathways in AD cellular model. Meanwhile, microRNA-193a knockdown showed the opposite effects, which also attenuated lnc-NEAT1 knockdown-mediated reduction in injury, oxidative stress, and CREB/BDNF and NRF2/NQO1 pathways of AD cellular model. In conclusion, lnc-NEAT1 knockdown reduces neuron injury, inflammation, and oxidative stress through activating microRNA-193a mediated CREB/BDNF and NRF2/NQO1 pathways in AD.

Identification and validation of ferroptosis-related biomarkers and the related pathogenesis in precancerous lesions of gastric cancer

Using advanced bioinformatics techniques, we conducted an analysis of ferroptosis-related genes (FRGs) in precancerous lesions of gastric cancer (PLGC). We also investigated their connection to immune cell infiltration and diagnostic value, ultimately identifying new molecular targets that could be used for PLGC patient treatment. The Gene Expression Omnibus (GEO) and FerrDb V2 databases were used to identify FRGs. These genes were analysed via ClueGO pathways and Gene Ontology (GO) enrichment analysis, as well as single-cell dataset GSE134520 analysis. A machine learning model was applied to identify hub genes associated with ferroptosis in PLGC patients. Receiver Operating Characteristics (ROC) curve analysis was conducted to verify the diagnostic efficacy of these genes, and a PLGC diagnosis model nomogram was established based on hub genes. R software was utilized to conduct functional, pathway, gene set enrichment analysis (GSEA) and gene set variation analysis (GSVA) on the identified diagnostic genes. Hub gene expression levels and survival times in gastric cancer were analysed using online databases to determine the prognostic value of these genes. MCPcounter and single-sample gene set enrichment analysis (ssGSEA) algorithms were used to investigate the correlation between hub genes and immune cells. Finally, noncoding RNA regulatory mechanisms and transcription factor regulatory networks for hub genes were mapped using multiple databases. Eventually, we identified 23 ferroptosis-related genes in PLGC. Enrichment analyses showed that ferroptosis-related genes were closely associated with iron uptake and transport and ferroptosis in the development of PLGC. After differential analysis using machine learning algorithms, we identified four hub genes in PLGC patients, including MYB, CYB5R1, LIFR and DPP4. Consequently, we established a ferroptosis diagnosis model nomogram. GSVA and GSEA mutual verification analysis helped uncover potential regulatory mechanisms of hub genes. MCPcounter and ssGSEA analysed immune infiltration in the disease and indicated that B cells and parainflammation played an important role in disease progression. Finally, we constructed noncoding RNA regulatory networks and transcription factor regulatory networks. Our study identified ferroptosis-related diagnostic genes and therapeutic targets for PLGC, providing novel insights and a theoretical foundation for research into the molecular mechanisms, clinical diagnosis, and treatment of this disease.

The plant noncoding transcriptome: a versatile environmental sensor.

Plant noncoding RNA transcripts have gained increasing attention in recent years due to growing evidence that they can regulate developmental plasticity. In this review article, we comprehensively analyze the relationship between noncoding RNA transcripts in plants and their response to environmental cues. We first provide an overview of the various noncoding transcript types, including long and small RNAs, and how the environment modulates their performance. We then highlight the importance of noncoding RNA secondary structure for their molecular and biological functions. Finally, we discuss recent studies that have unveiled the functional significance of specific long noncoding transcripts and their molecular partners within ribonucleoprotein complexes during development and in response to biotic and abiotic stress. Overall, this review sheds light on the fascinating and complex relationship between dynamic noncoding transcription and plant environmental responses, and highlights the need for further research to uncover the underlying molecular mechanisms and exploit the potential of noncoding transcripts for crop resilience in the context of global warming.

Long non-coding RNA X-Inactive Specific Transcript (XIST) interacting with USF2 promotes osteogenic differentiation of periodontal ligament stem cells through regulation of WDR72 transcription.

Periodontal ligament stem cells (PDLSCs) are the most potential cells in periodontal tissue regeneration and bone tissue regeneration. Our prior work had revealed that WD repeat-containing protein 72 (WDR72) was crucial for osteogenic differentiation of PDLSCs. Here, we further elucidated its underlying mechanism in PDLSC osteogenic differentiation. Human PDLSCs, isolated and identified by flow cytometry, were prepared for osteogenic differentiation induction. Levels of WDR72, long non-coding RNA X-Inactive Specific Transcript (XIST), upstream stimulatory factor 2 (USF2), and osteogenic marker genes (Runx2, Osteocalcin, and Collagen I) in human PDLSCs and clinical specimens were detected by RT-qPCR. Protein expressions of WDR72, Runx2, Osteocalcin, and Colla1 were tested by Western blot. The interactions among the molecules were verified by RIP, RNA pull-down, ChIP, and luciferase reporter assays. Osteogenic differentiation was evaluated by alkaline phosphatase (ALP) and alizarin red staining (ARS). WDR72 was decreased in periodontal tissues of periodontitis patients, and overexpression reversed TNF-α-mediated suppressive effects on PDLSC osteogenic differentiation. Mechanically, XIST recruited the enrichment of USF2 to the WDR72 promoter region, thereby positively regulating WDR72. WDR72 silencing overturned XIST-mediated biological effects in PDLSCs. WDR72, regulated by the XIST/USF2 axis, enhances osteogenic differentiation of PDLSCs, implying a novel strategy for alleviating periodontitis.

Prognostic significance of MALAT1 in clear cell renal cell carcinoma based on TCGA and GEO.

Long noncoding RNAs metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) can regulate tumorigenesis and progression of various cancers. However, there is little known about the tumor biology and regulatory mechanism of MALAT1 in clear cell renal cell carcinoma (ccRCC). The objective of this study was to evaluate the prognostic value and potential functions of MALAT1 in ccRCC based on the cancer genome atlas. Through bioinformatics research, we analyzed the expression of MALAT1 in ccRCC, and the relationship with clinicopathological features, overall survival and infiltration of immune cells, and established the prognostic models. The results showed that MALAT1 was highly expressed in ccRCC tissues and predicted poor ccRCC patient outcome. The expression level of MALAT1 was significantly correlated with histologic grade, pathologic grade, T stage, M stage. ROC curve showed that MALAT1 had a good diagnostic accuracy, area under the curve of 0.752. The univariate and multivariate cox regression analysis showed that high MALAT1 expression was an independent prognostic factor for overall survival in the cancer genome atlas (hazard ratio = 2.271, 95% confidence interval: 1.435-3.593, P < .001). Gene set enrichment analysis revealed that MALAT1 expression was associated with the DNA methylation, epigenetic regulation of gene expression signaling pathway. In addition, the prognostic models were established to predict 1-, 3- and 5-year survival. This study showed that high expression of MALAT1 might be a potential diagnostic and prognostic biomarker.

Temporal analyses reveal a pivotal role for sense and antisense enhancer RNAs in coordinate immunoglobulin lambda locus activation.

Transcription enhancers are essential activators of V(D)J recombination that orchestrate non-coding transcription through complementary, unrearranged gene segments. How transcription is coordinately increased at spatially distinct promoters, however, remains poorly understood. Using the murine immunoglobulin lambda (Igλ) locus as model, we find that three enhancer-like elements in the 3' Igλ domain, Eλ3-1, HSCλ1 and HSE-1, show strikingly similar transcription factor binding dynamics and close spatial proximity, suggesting that they form an active enhancer hub. Temporal analyses show coordinate recruitment of complementary V and J gene segments to this hub, with comparable transcription factor binding dynamics to that at enhancers. We find further that E2A, p300, Mediator and Integrator bind to enhancers as early events, whereas YY1 recruitment and eRNA synthesis occur later, corresponding to transcription activation. Remarkably, the interplay between sense and antisense enhancer RNA is central to both active enhancer hub formation and coordinate Igλ transcription: Antisense Eλ3-1 eRNA represses Igλ activation whereas temporal analyses demonstrate that accumulating levels of sense eRNA boost YY1 recruitment to stabilise enhancer hub/promoter interactions and lead to coordinate transcription activation. These studies therefore demonstrate for the first time a critical role for threshold levels of sense versus antisense eRNA in locus activation.

Enthralling genetic regulatory mechanisms meddling insecticide resistance development in insects: role of transcriptional and post-transcriptional events.

Insecticide resistance in insects severely threatens both human health and agriculture, making insecticides less compelling and valuable, leading to frequent pest management failures, rising input costs, lowering crop yields, and disastrous public health. Insecticide resistance results from multiple factors, mainly indiscriminate insecticide usage and mounted selection pressure on insect populations. Insects respond to insecticide stress at the cellular level by modest yet significant genetic propagations. Transcriptional, co-transcriptional, and post-transcriptional regulatory signals of cells in organisms regulate the intricate processes in gene expressions churning the genetic information in transcriptional units into proteins and non-coding transcripts. Upregulation of detoxification enzymes, notably cytochrome P450s (CYPs), glutathione S-transferases (GSTs), esterases [carboxyl choline esterase (CCE), carboxyl esterase (CarE)] and ATP Binding Cassettes (ABC) at the transcriptional level, modification of target sites, decreased penetration, or higher excretion of insecticides are the noted insect physiological responses. The transcriptional regulatory pathways such as AhR/ARNT, Nuclear receptors, CncC/Keap1, MAPK/CREB, and GPCR/cAMP/PKA were found to regulate the detoxification genes at the transcriptional level. Post-transcriptional changes of non-coding RNAs (ncRNAs) such as microRNAs (miRNA), long non-coding RNAs (lncRNA), and epitranscriptomics, including RNA methylation, are reported in resistant insects. Additionally, genetic modifications such as mutations in the target sites and copy number variations (CNV) are also influencing insecticide resistance. Therefore, these cellular intricacies may decrease insecticide sensitivity, altering the concentrations or activities of proteins involved in insecticide interactions or detoxification. The cellular episodes at the transcriptional and post-transcriptional levels pertinent to insecticide resistance responses in insects are extensively covered in this review. An overview of molecular mechanisms underlying these biological rhythms allows for developing alternative pest control methods to focus on insect vulnerabilities, employing reverse genetics approaches like RNA interference (RNAi) technology to silence particular resistance-related genes for sustained insect management.

MicroRNA-155 downregulates long noncoding RNA prostate cancer-associated transcript 29 in hepatocellular carcinoma to suppress cancer cell invasion and migration.

Long noncoding RNA (lncRNA) prostate cancer-associated transcript 29 (PCAT29) is known to suppress several cancers, but its participation in hepatocellular carcinoma (HCC) remains elusive. This study tried to explore PCAT29 function in HCC. In this study, a total of 62 HCC patients were enrolled. Tissue samples were collected from all 62 patients to isolate RNA samples. Quantitative reverse transcription polymerase chain reaction was applied for the expression analysis of PCAT29 and microRNA-155 (miR-155) in these tissue samples. The 62 HCC patients were followed up for 5 years to explore the prognostic value of PCAT29 for HCC. Correlations were analyzed using linear regression. IntaRNA 2.0 was used to predict the interaction between PCAT29 and miR-155. The role of PCAT29 and miR-155 in regulating HCC cell invasion and migration was evaluated by Transwell assay. We found that PCAT29 expression was downregulated in HCC and miR-155 expression was upregulated in HCC compared to nontumor samples (p < 0.001). Downregulation of PCAT29 was found to be closely associated with poor survival of HCC patients. MiR-155 was inversely correlated with PCAT29. It was predicted that miR-155 could target PCAT29. In HCC cells, miR-155 overexpression resulted in reduced PCAT29 expression (p < 0.05). MiR-155 counteracted the inhibitory effects of PCAT29 overexpression on HCC cell migration and invasion. These results suggest that PCAT29 may be a potential prognostic biomarker and a novel therapeutic target for treating HCC.

Profiling of repetitive RNA sequences in the blood plasma of patients with cancer

Liquid biopsies provide a means for the profiling of cell-free RNAs secreted by cells throughout the body. Although well-annotated coding and non-coding transcripts in blood are readily detectable and can serve as biomarkers of disease, the overall diagnostic utility of the cell-free transcriptome remains unclear. Here we show that RNAs derived from transposable elements and other repeat elements are enriched in the cell-free transcriptome of patients with cancer, and that they serve as signatures for the accurate classification of the disease. We used repeat-element-aware liquid-biopsy technology and single-molecule nanopore sequencing to profile the cell-free transcriptome in plasma from patients with cancer and to examine millions of genomic features comprising all annotated genes and repeat elements throughout the genome. By aggregating individual repeat elements to the subfamily level, we found that samples with pancreatic cancer are enriched with specific Alu subfamilies, whereas other cancers have their own characteristic cell-free RNA profile. Our findings show that repetitive RNA sequences are abundant in blood and can be used as disease-specific diagnostic biomarkers.

Transcriptome analysis of norepinephrine-induced lipolysis in differentiated adipocytes of Bama pig

Sympathetic innervation of white adipose tissue (WAT) plays a key role in the regulation of lipid metabolism. Sympathetic activation promotes release of norepinephrine (NE), which binds to adrenergic receptors on adipocytes, promoting adipocyte lipolysis and enhanced oxidative metabolism. However, the mechanism by which sympathetic nerves regulate lipid metabolism in pig adipose tissue remains unclear. We used NE to simulate the process of sympathetic driving in pig adipocytes. RNA sequencing (RNA-seq) was used to determine the gene expression profile of pig adipocytes responding to NE stimulation. Our data suggests that the lipolytic signaling pathway is activated in pig adipocytes upon acute stimulation of NE, resulting in enhanced lipid metabolism and lipolysis, consistent with the phenomena found in humans and mice. Specifically, differentially expressed protein coding genes (PCGs) (SIRT4, SLC27A1) are mainly associated with functions that inhibit fatty acid oxidation and promote lipid synthesis. Similarly, we investigated the changes in regulatory transcripts such as long non-coding RNAs (lncRNAs) and transcripts of uncertain coding potential (TUCP) in response to NE and found that differentially expressed lncRNAs (lncG47338, lncG30660, lncG29516, lncG3790) and TUCP (TUCP_G38001) were co-expressed with target genes related to the promotion of fatty acid β-oxidation, lipolysis and oxidative metabolism, thus acting as regulators. These results indicate a broad suite of gene expression alterations in response to NE stimulation and promote the understanding of the molecular mechanisms by which NE regulates lipid metabolism in pigs.

Retrospective study on the association of human herpesvirus reactivation with severe DRESS: A description of blood and skin reactivations.

Drug Reaction with Eosinophilia and Systemic Symptoms (DRESS) is a severe adverse event (mortality of 10%). Its pathophysiology involves herpesviruses, particularly HHV-6, but the exact mechanisms are still poorly understood. To describe severe cases of DRESS and especially their association with herpesvirus reactivation. This study was a multicentre case series conducted between 2007 and 2021 at five University Hospital Centres in France. The study included patients who had severe DRESS, which was defined as death, transfer to the intensive care unit (ICU), or severe damage to internal organs. We excluded patients without blood PCR sample, without a drug formally attributed or with RegiSCAR score < 6. We collected data on severity, causative drug, associated visceral damage and results of viral blood PCRs. HHV-6 reactivation was studied in skin biopsies by detection of small non-coding transcripts (HHV-6 miR-aU14) and a late viral protein (GP82/105). Fifty-two patients were included (29 female, median age 62, interquartile range (IQR) [37;72]). Eight patients (15%) died, 13 (27%) were admitted to ICU. Most patients (n = 34; 65%) had multisystem involvement: most frequent was liver (n = 46; 88%), then renal failure (n = 24; 46%). Forty patients (77%) had at least one blood viral reactivation among HHV-6, EBV or CMV, of which 21 (53%) had at least two. Median time of blood HHV-6 reactivation was 24 days (IQR [20;35]). HHV-6 reactivation was demonstrated in 15 out of 20 skin biopsies, with a median time of 11 days [9;17]. We confirmed the high rate of HHV-6 reactivation in severe DRESS and demonstrated cutaneous HHV-6 reactivation using small non-coding transcripts (HHV-6 miR-aU14), which preceded viral PCR positivity in blood. These results suggest that HHV-6 reactivation during DRESS may start in skin. Furthermore, search for miR-aU14 in skin biopsy could become a useful diagnostic tool for early detection of HHV-6 reactivation.

Lnc-Malat1 promotes slow myofiber-type transformation through sponging miR-129-5p in C2C12 myotubes

Long non-coding metastasis-associated lung adenocarcinoma transcript (lnc-Malat1) emerges as a novel regulator in skeletal muscle development, while its function and the related mechanism is not fully revealed yet. In this study, knockdown of lnc-Malat1 by siRNA significantly inhibited the expression of myoblast marker genes (MyHC, MyoD, and MyoG) and slow muscle fiber marker genes (MyHC I), together with repressed expression of mitochondria-related genes COX5A, ACADM, CPTA1, FABP3, and NDUFA1. Overexpression of lnc-Malat1 exerted an opposite effect, promoting myoblast differentiation and slow muscle fiber formation. Dual luciferase reporter assay revealed a direct interaction between lnc-Malat1 and miR-129-5p, and overexpression of lnc-Malat1 significantly inhibited miR-129-5p expression, thereby elevating the expression of Mef2a, miR-129-5p target protein. In addition, enforced expression of lnc-Malat1 restored the inhibitory effect of miR-129-5p on myoblast differentiation and MyHC I expression. Taken together, our results suggest that lnc-Malat1 promotes myoblast differentiation, and maintains the slow muscle fiber phenotype via adsorbing miR-129-5p.

Precision RNAi using synthetic shRNAmir target sites.

Loss-of-function genetic tools are widely applied for validating therapeutic targets, but their utility remains limited by incomplete on- and uncontrolled off-target effects. We describe artificial RNA interference (ARTi) based on synthetic, ultra-potent, off-target-free shRNAs that enable efficient and inducible suppression of any gene upon introduction of a synthetic target sequence into non-coding transcript regions. ARTi establishes a scalable loss-of-function tool with full control over on- and off-target effects.

Precision RNAi using synthetic shRNAmir target sites

Loss-of-function genetic tools are widely applied for validating therapeutic targets, but their utility remains limited by incomplete on- and uncontrolled off-target effects. We describe artificial RNA interference (ARTi) based on synthetic, ultra-potent, off-target-free shRNAs that enable efficient and inducible suppression of any gene upon introduction of a synthetic target sequence into non-coding transcript regions. ARTi establishes a scalable loss-of-function tool with full control over on- and off-target effects.

FACT regulates pluripotency through proximal and distal regulation of gene expression in murine embryonic stem cells

BackgroundThe FACT complex is a conserved histone chaperone with critical roles in transcription and histone deposition. FACT is essential in pluripotent and cancer cells, but otherwise dispensable for most mammalian cell types. FACT deletion or inhibition can block induction of pluripotent stem cells, yet the mechanism through which FACT regulates cell fate decisions remains unclear.ResultsTo explore the mechanism for FACT function, we generated AID-tagged murine embryonic cell lines for FACT subunit SPT16 and paired depletion with nascent transcription and chromatin accessibility analyses. We also analyzed SPT16 occupancy using CUT&RUN and found that SPT16 localizes to both promoter and enhancer elements, with a strong overlap in binding with OCT4, SOX2, and NANOG. Over a timecourse of SPT16 depletion, nucleosomes invade new loci, including promoters, regions bound by SPT16, OCT4, SOX2, and NANOG, and TSS-distal DNaseI hypersensitive sites. Simultaneously, transcription of Pou5f1 (encoding OCT4), Sox2, Nanog, and enhancer RNAs produced from these genes’ associated enhancers are downregulated.ConclusionsWe propose that FACT maintains cellular pluripotency through a precise nucleosome-based regulatory mechanism for appropriate expression of both coding and non-coding transcripts associated with pluripotency.

MALAT1 Long Non-coding RNA and Its Role in Breast Carcinogenesis.

Our genome consists not only of protein-coding DNA, but also of the non-coding part that plays a very important role in the regulation of all cellular processes. A part of the non-coding genome comes with non-coding RNAs (ncRNAs), and disruption of the functional activity of these RNAs may be associated with oncogenesis in various cancer types. There exist two types of ncRNAs: small and long non-coding RNAs, which are classified according to their transcript length. Long non-coding metastasis-associated lung adenocarcinoma transcript 1, MALAT1 RNA (NEAT2), is a long non-coding RNA of particular interest. The aforementioned transcript takes part in the regulation of numerous cellular processes and pathogenesis of different malignant tumors, including breast tumors. This review focuses on experimental and clinical studies into the role of MALAT1 in carcinogenesis and the progression of breast cancer.

Exosomal lncRNA GAS5 promotes M1 macrophage polarization in allergic rhinitis via restraining mTORC1/ULK1/ATG13-mediated autophagy and subsequently activating NF-кB signaling.

Macrophages are involved in the pathogenesis of allergic rhinitis (AR), but how these macrophages are polarized to M1 or M2 type is undetermined. Long non-coding RNA growth arrest specific transcript 5 (GAS5) is upregulated in exosomes isolated from nasal mucus of AR patients (AR-EXO) and aggravates nasal symptoms in AR mice. In the present study, we are aimed to elucidate the potential role of GAS5 in macrophage polarization during AR pathogenesis. An AR mice model was constructed. The potential function of GAS5 was evaluated by western blot, RNA immunoprecipitation (RIP), biotinylated RNA pull-down assay, co-immunoprecipitation (co-IP) assay, flow cytometry, enzyme-linked immunosorbent assay (ELISA) assay, and immunohistochemistry (IHC) staining. We found that GAS5 is upregulated in ovalbumin-treated human nasal epithelial cells RPMI 2650 (OVA-EXO) and nasal mucus of AR mice. OVA-EXO treatment or forced GAS5 expression promoted M1 macrophage polarization of peripheral blood monocytes (PB monocytes) and THP-1 macrophages in vitro. GAS5 overexpression aggravated the allergic nasal symptoms induced by OVA in AR mice and facilitated M1 macrophage polarization and allergic inflammation, while knockdown of GAS5 exhibited opposite effects in vivo. GAS5 activated NF-кB signaling via suppressing autophagy-dependent degradation of IKKα/β in macrophages. Furthermore, GAS5 acted as a scaffold to strengthen the interaction between mTORC1 and ULK1, thus impaired ULK1/ATG13-mediated autophagy via increasing mTORC1 activity. Finally, restored autophagy by ATG13 overexpression suppressed the effect of GAS5 on M1 macrophage polarization. In conclusion, these results suggested that exosomal transfer of GAS5 promoted M1 macrophage polarization via restraining mTORC1/ULK1/ATG13-mediated autophagy and subsequently activating NF-кB signaling in allergic rhinitis.