Mechanisms Of lncRNAs Research Articles

Altered expression profile of long non-coding RNAs during heart aging in mice

Abstract Objective Long noncoding RNAs (lncRNAs) play an important role in regulating the occurrence and development of cardiovascular diseases. However, the role of lncRNAs in heart aging remains poorly understood. The objective of this study was to identify differentially expressed lncRNAs in the heart of aging mice and elucidate the relevant regulatory pathways of cardiac aging. Materials and methods Echocardiography was used to detect the cardiac function of 18-months (aged) and 3-months (young) old C57BL/6 mice. Microarray analysis was performed to unravel the expression profiles of lncRNAs and mRNAs, and qRT-PCR to verify the highly dysregulated lncRNAs. Results Our results demonstrated that the heart function in aged mice was impaired relative to young ones. Microarray results showed that 155 lncRNAs were upregulated and 37 were downregulated, and 170 mRNAs were significantly upregulated and 44 were remarkably downregulated in aging hearts. Gene ontology analysis indicated that differentially expressed genes are mainly related to immune function, cell proliferation, copper ion response, and cellular cation homeostasis. KEGG pathway analysis showed that the differentially expressed mRNAs are related to cytokine-cytokine receptor interaction, inflammatory mediator regulation of TRP channels, and the NF-kappa B signaling pathway. Conclusion These results imply that the differentially expressed lncRNAs may regulate the development of heart aging. This study provides a new perspective on the potential effects and mechanisms of lncRNAs in heart aging.

Long Noncoding RNAs in Lung Cancer: From Disease Markers to Treatment Roles.

There is an urgent need to identify reliable biomarkers that can be used in early diagnosis, prognostication prediction and as possible therapeutic targets for lung cancer due to its current poor prognosis. Long noncoding RNAs (lncRNAs) have recently attracted additional attention due to their potential role in carcinogenesis, invasion and metastasis. Issues involved in the biofunctions and regulatory mechanisms of oncogenic and tumor-suppressive lncRNAs in lung cancer are discussed. Some lncRNAs have shown good diagnostic value, especially in combination with conventional serum protein markers. The use of antisense oligonucleotides, small molecules and RNA interference techniques have shown promise as direct therapeutic tools for targeting lncRNAs in preclinical studies. The biomarker function of lncRNAs may also indirectly involved in tumor therapy as a reference to conventional therapy. Overall, the concept of using lncRNAs as biomarkers for prognostication and intervention in lung cancer is still in its infancy, and only with more in-depth studies could they have a significant impact.

Long Non-coding RNAs: Pivotal Epigenetic Regulators in Diabetic Retinopathy.

Diabetic retinopathy (DR) is a severe complication of diabetes; however, its mechanism is not fully understood. Evidence has recently revealed that long non-coding RNAs (lncRNAs) are abnormally expressed in DR, and lncRNAs may function as pivotal regulators. LncRNAs are able to modulate gene expression at the epigenetic level by acting as scaffolds of histone modification complexes and sponges of binding with microRNAs (miRNAs). LncRNAs are believed to be important epigenetic regulators, which may become beneficial in the diagnosis and therapy of DR. However, the mechanisms of lncRNAs in DR are still unclear. In this review, we summarize the possible functions and mechanisms of lncRNAs in epigenetic regulation to target genes in the progression of DR.

LncRNAs as Hallmarks for Individualized Treatment of Gastric Cancer

Gastric cancer is a global cancer with a high mortality rate. A growing number of studies have found the abnormal expression of lncRNA (long noncoding RNA) in many tumors, which plays a role in promoting or inhibiting cancer. Similarly, lncRNA abnormal expression plays an essential biological function in gastric cancer. This article focuses on lncRNA involvement in the development of gastric cancer in terms of cell cycle disorder, apoptosis inhibition, metabolic remodeling, promotion of tumor inflammation, immune escape, induction of angiogenesis, and Epithelial Mesenchymal Transition (EMT). The involvement of lncRNA in the development of gastric cancer is related to drug resistance, such as cisplatin and multi-drug resistance. It can also be used as a potential marker for the diagnosis and prognosis of gastric cancer and a target for the treatment. With an in-depth understanding of the mechanism of lncRNA in gastric cancer, new ideas for personalized treatment of gastric cancer are expected.

LncRNA PART1 inhibits glioma proliferation and migration via miR-374b/SALL1 axis

BackgroundAbnormal expression of lncRNA is involved in a diversity of diseases and plays a vital role in targeted therapy. However, few studies have been conducted on lncRNA PART1 in glioma. We aimed to investigate the function and the potential regulatory mechanism of lncRNA PART1/miR-374b/SALL1 axis in glioma. MethodsqRT-PCR and western blotting detected genes and proteins expression. Dual-luciferase reporter assay was performed to examine the binding relationship of lncRNA PART1, miR-374b, and SALL1. MTT assay and clone formation assay were performed to detect the cell viability and proliferation. Transwell assay detected glioma cell migration. In vivo tumor development experiments detected changes in tumor size, volume, and weight of the tumor after overexpression of lncRNA PART1. Immunohistochemistry was used to detect ki-67, E-cadherin, and N-cadherin expression. ResultsThe expression of lncRNA PART1 and SALL1 were down-regulated and miR-374b was up-regulated in different glioma cell lines. Overexpression of lncRNA PART1 inhibited glioma cell proliferation, migration, and epithelial mesenchymal transition (EMT). LncRNA PART1 targeted miR-374b to promote SALL1 expression. The knockdown of miR-374b inhibited glioma cell proliferation and migration and EMT by SALL1. What's more, overexpression of miR-374b or knockdown of SALL1 reversed the inhibitory effect of lncRNA PART1 on the proliferation, migration, and EMT of glioma cells. Furthermore, overexpression of lncRNA PART1 inhibited glioma growth in vivo. ConclusionLncRNA PART1 inhibited glioma proliferation and migration via miR-374b/SALL1 axis. These results might provide new insights for comprehending the complex lncRNA-miRNA network in gliomas.

Discovery of New Therapeutic Targets for Osteosarcoma Treatment Based on Immune-Related lncRNAs in the Tumor Microenvironment.

Background Long noncoding RNAs (lncRNAs) play an important role in osteosarcoma development, but their role in the tumor microenvironment (TME) is not fully understood. This study associated lncRNAs with immune-related genes and explored the mechanism of lncRNAs in osteosarcoma progression. Methods Unsupervised consensus clustering was applied to construct immune subtypes based on immune-related lncRNAs identified by Pearson's correlation analysis. A series of functional analysis was performed to reveal the links among lncRNAs, immune subtypes, TME, and osteosarcoma prognosis. Results We identified two immune subtypes C1 and C2 showing distinct overall survival. ECM-receptor interaction pathway was more activated in C2 subtype, while immune response pathways were more enriched in C2 subtype. Differential TME and response to chemotherapeutic drugs were observed between the two subtypes. Four metagenes of costimulation, cytolytic activity (CYT), immune score, and STAT1 were differentially enriched in the two subtypes. Based on 26-paired lncRNAs, we constructed a 4-paired lncRNA prognostic signature for predicting prognosis of osteosarcoma prognosis. Conclusions This study focused on immune-related lncRNAs and TME, showing the possible role and mechanisms of lncRNAs in tumor growth and metastasis. ECM may be the new therapeutic target for treating osteosarcoma, and 26-paired lncRNAs could serve as a basis for further studying the mechanisms of CYT and STAT1 in immune response, cancer cell proliferation, and migration. The two subtypes and prognostic signature could promote the design of personalized osteosarcoma treatment.

Characterization of the Myometrial Transcriptome of Long Non-coding RNA Genes in Human Labor by High-Throughput RNA-seq

The contraction of myometrium is pivotal in expelling the fetus and placenta during labor, but the specific mechanism of myometrium changing from quiescent to a contractile state is still unclear. Previous studies have shown that changes in certain genes or proteins are related to the regulation of myometrial contraction, which are considered to be contraction-associated genes. Long non-coding RNAs (lncRNAs) are increasingly recognized as important molecular players in regulating gene expression and many biological processes, but their roles in the rhythmic contraction of myometrial cells during labor remain to be explored. This study aimed to reveal the differentially expressed lncRNAs in the human myometrium of non-labor (NL, n = 9) and in-labor (IL, n = 9). Furthermore, bioinformatic analysis of lncRNA targeted mRNAs was performed to explore the biological processes and pathway alterations during labor. The results showed a total of 112 significantly differentially expressed lncRNAs between two groups were identified, of which 69 were upregulated and 43 were downregulated in IL group, compared with NL group. In addition, the enrichment analysis of Gene Ontology (GO) and pathways showed that the lncRNAs corresponding targeted mRNAs were associated with mRNA splicing, splicesome, ferroptosis, FGFR and NOTCH signaling pathways. Our study constitutes the first report on investigating the gene expression landscape and regulatory mechanism of lncRNAs within laboring and non-laboring myometrium using RNA sequencing (RNA-seq) and bioinformatic analysis. This study provided high-throughput information on the lncRNA in the myometrium of women in labor and those not in labor, to discover novel lncRNA candidates and potential biological pathways involved in human parturition.

Long Non-Coding RNAs in Pancreatic Cancer: Biologic Functions, Mechanisms, and Clinical Significance.

Simple SummaryPancreatic cancer (PC) is a highly aggressive malignant tumor with a high mortality rate. Growing evidence shows that long non-coding RNAs (lncRNAs) might participate in the pathogenesis of PC. This review presents the biogenesis mechanism, classifications, and modes of action of lncRNAs, especially the functions and mechanisms of lncRNAs in PC. It also discusses the clinical significance of lncRNAs in PC.Despite tremendous efforts devoted to research in pancreatic cancer (PC), the mechanism underlying the tumorigenesis and progression of PC is still not completely clear. Additionally, ideal biomarkers and satisfactory therapeutic strategies for clinical application in PC are still lacking. Accumulating evidence suggests that long non-coding RNAs (lncRNAs) might participate in the pathogenesis of diverse cancers, including PC. The abnormal expression of lncRNAs in PC is considered a vital factor during tumorigenesis that affects tumor cell proliferation, migration, invasion, apoptosis, angiogenesis, and drug resistance. With this review of relevant articles published in recent years, we aimed to summarize the biogenesis mechanism, classifications, and modes of action of lncRNAs and to review the functions and mechanisms of lncRNAs in PC. Additionally, the clinical significance of lncRNAs in PC was discussed. Finally, we pointed out the questions remaining from recent studies and anticipated that further investigations would address these gaps in knowledge in this field.

Expression profile and functional prediction of novel LncRNA 5.8S rRNA-OT1 in cattle

Long non-coding RNAs (LncRNAs) are generally longer than 200 bp in length and play an important regulatory role in the growth and development of skeletal muscle. In the previous work, the non-coding RNAs with abundant expression in bovine tissues were screened out. After quantitative real-time PCR (qPCR), 33 lncRNAs with differential expression in various bovine tissues were identified. Differential expression analysis base on tissue expression profiles of 33 lncRNAs, a long non-coding RNA LncRNA13, which may have effects on bovine muscle development, was found. The expression levels in embryo muscle and adult cattle muscle were significantly different (p < 0.01), so it is speculated that it may have a certain impact on the development of cattle muscle. It was named LncRNA 5.8S rRNA-OT1, and its overexpression vector pcDNA3.1-LncRNA 5.8S rRNA-OT1 was cloned and constructed. The purpose of this study is to further explore its impact on the proliferation and differentiation of bovine muscle cells and accumulate data to lay a foundation for further exploration of the function of LncRNA 5.8S rRNA-OT1 and add basic data for the study of the regulatory mechanism of lncRNA.

Research progress on the regulatory mechanism of non-coding RNA in arsenic toxicity

Arsenic is a non-metallic element, and the International Agency for Research on Cancer has identified arsenic and its compounds as carcinogens. Arsenic and its compounds can be absorbed through the respiratory tract, skin and digestive tract, distributed in the liver, kidney, lung and skin, and cause damage. Non-coding RNAs are closely related to arsenic-induced nervous system disorders, cell necrosis, reproductive toxicity, and carcinogenesis. In recent years, the network regulation of microRNAs (miRNAs) , long non-coding RNAs (lncRNAs) , and circular RNAs (circRNAs) among non-coding RNAs in various diseases induced by arsenic has become a new research field. This paper summarizes the existing scientific research results, and expounds the mechanism of miRNAs, lncRNAs and circRNAs in arsenic toxicity, and provides basic data and theoretical basis for the prevention and treatment of arsenic poisoning.

Progress in Expression Pattern and Molecular Regulation Mechanism of LncRNA in Bovine Mastitis.

Simple SummaryBovine mastitis is an inflammatory disease of the mammary glands that causes serious harm to cow health and huge economic losses. Susceptibility or resistance to mastitis in individual cows is mainly determined by genetic factors, including coding genes and non-coding genes. Long non-coding RNAs (lncRNAs) are non-coding RNA molecules with a length of more than 200 nucleotides (nt) that have recently been discovered. They can regulate a variety of diseases of humans and animals, especially the immune response and inflammatory disease process. This paper reviews the role of long non-coding RNA (lncRNA) in inflammatory diseases, emphasizes on the latest research progress of lncRNA expression and the molecular regulatory mechanism in bovine mastitis, and looks forward to the research and application prospect of lncRNA in bovine mastitis, intending to provide a reference for scientific researchers to systematically understand this research field.Bovine mastitis is an inflammatory disease caused by pathogenic microbial infection, trauma, or other factors. Its morbidity is high, and it is difficult to cure, causing great harm to the health of cows and the safety of dairy products. Susceptibility or resistance to mastitis in individual cows is mainly determined by genetic factors, including coding genes and non-coding genes. Long non-coding RNAs (lncRNAs) are a class of endogenous non-coding RNA molecules with a length of more than 200 nucleotides (nt) that have recently been discovered. They can regulate the immune response of humans and animals on three levels (transcription, epigenetic modification, and post-transcription), and are widely involved in the pathological process of inflammatory diseases. Over the past few years, extensive findings revealed basic roles of lncRNAs in inflammation, especially bovine mastitis. This paper reviews the expression pattern and mechanism of long non-coding RNA (lncRNA) in inflammatory diseases, emphasizes on the latest research progress of the lncRNA expression pattern and molecular regulatory mechanism in bovine mastitis, analyzes the molecular regulatory network of differentially expressed lncRNAs, and looks forward to the research and application prospect of lncRNA in bovine mastitis, laying a foundation for molecular breeding and the biological therapy of bovine mastitis.

Regulation of long non-coding RNA in signal pathways related to osteogenic differentiation

To summarize the mechanism of long non-coding RNA (lncRNA) in signal pathways related to osteogenic differentiation. Relevant domestic and foreign researches in recent years were consulted. The characteristics and biological functions of lncRNA were introduced, and the specific mechanism of lncRNA regulating related signal pathways in osteogenic differentiation was elaborated. The exertion and maintenance of normal function of bone requires the closed coordination of transcription networks and signal pathways. However, most of these signal pathways or networks are dysregulated under pathological conditions that affect bone homeostasis. lncRNA can regulate the differentiation of various bone cells by activating or inhibiting signal pathways to achieve the balance of bone homeostasis, thereby reversing the pathological state of bones and achieving the purpose of treating bone metabolic diseases. At present, the research on the mechanism of lncRNA regulating various osteogenic differentiation pathways is still in the early stage. Its in-depth regulator mechanism, especially the cross-talk of complex signal pathways needs to be further studied. And how to apply these molecular targets to clinical treatment is also a big challenge.

Systematic identification and characterization of long noncoding RNAs (lncRNAs) during Aedes albopictus development.

BackgroundAedes albopictus originated in the tropical forests of Southeast Asia and can currently be found on all continents. As one of the main arboviral vectors, the control of Ae. albopictus requires novel strategies, informed by a deep knowledge of its biology. Little is known regarding mosquito long noncoding RNAs (lncRNAs), which are transcripts longer than 200 nucleotides that lack protein-coding potential and have roles in developmental regulation.ResultsBased on RNA-seq data from five developmental time points, eggs, early larvae, late larvae, pupae, and adults (female and male) of Ae. albopictus, 21,414 lncRNAs were characterized in this study. Differential expression analysis revealed that lncRNAs exhibited developmental stage specificity. The expression of most lncRNAs was upregulated at the onset of metamorphosis developmental stages. More differentially expressed lncRNAs were observed between eggs and early larvae. Weighted gene co-expression network analysis (WGCNA) further confirmed that the expression patterns of lncRNAs were obviously correlated with specific developmental time points. Functional annotation using co-expression analysis revealed that lncRNAs may be involved in the regulation of metamorphic developmental transitions of Ae. albopictus. The hub lncRNAs and hub gene clusters were identified for each module that were highly associated with specific developmental time points.ConclusionsThe results of this study will facilitate future researches to elucidate the regulatory mechanisms of lncRNAs in the development of Ae. albopictus and utilize lncRNAs to assist with mosquito control.

NCP-BiRW: A Hybrid Approach for Predicting Long Noncoding RNA-Disease Associations by Network Consistency Projection and Bi-Random Walk.

Long non-coding RNAs (lncRNAs) play significant roles in the disease process. Understanding the pathological mechanisms of lncRNAs during the course of various diseases will help clinicians prevent and treat diseases. With the emergence of high-throughput techniques, many biological experiments have been developed to study lncRNA-disease associations. Because experimental methods are costly, slow, and laborious, a growing number of computational models have emerged. Here, we present a new approach using network consistency projection and bi-random walk (NCP-BiRW) to infer hidden lncRNA-disease associations. First, integrated similarity networks for lncRNAs and diseases were constructed by merging similarity information. Subsequently, network consistency projection was applied to calculate space projection scores for lncRNAs and diseases, which were then introduced into a bi-random walk method for association prediction. To test model performance, we employed 5- and 10-fold cross-validation, with the area under the receiver operating characteristic curve as the evaluation indicator. The computational results showed that our method outperformed the other five advanced algorithms. In addition, the novel method was applied to another dataset in the Mammalian ncRNA-Disease Repository (MNDR) database and showed excellent performance. Finally, case studies were carried out on atherosclerosis and leukemia to confirm the effectiveness of our method in practice. In conclusion, we could infer lncRNA-disease associations using the NCP-BiRW model, which may benefit biomedical studies in the future.

Non-Coding RNAs Regulate Spontaneous Abortion: A Global Network and System Perspective.

Spontaneous abortion is a common pregnancy complication that negatively impacts women’s health and commercial pig production. It has been demonstrated that non-coding RNA (ncRNA) is involved in SA by affecting cell proliferation, invasion, apoptosis, epithelial-mesenchymal transformation (EMT), migration, and immune response. Over the last decade, research on ncRNAs in SA has primarily concentrated on micro RNAs (miRNAs), long non-coding RNAs (lncRNAs), and circular RNAs (circRNAs). In this review, we discuss recent ncRNA studies focused on the function and mechanism of miRNAs, lncRNAs, and circRNAs in regulating SA. Meanwhile, we suggest that a ceRNA regulatory network exists in the onset and development of SA. A deeper understanding of this network will accelerate the process of the quest for potential RNA markers for SA diagnosis and treatment.

LINC00936 exacerbated myocardial infarction progression via miR-4795-3p/Wnt3a signaling pathway based on biological and imaging methods.

LncRNAs show great potential in diagnosing and treating myocardial infarction (MI). Clarifying the mechanism of lncRNAs on MI is of great significance for the application of MI biomarkers. Therefore, this report intended to determine the role and mechanism of LINC00936 on MI by biological and imaging methods. Hypoxia H9C2 model was established by hypoxia treatment. Flow cytometry and terminal deoxynucleotidyl transferase dUTP nick end labeling assay detected the apoptosis of H9C2. H2DCFDA staining and enzyme-linked immunosorbent assay (ELISA) was used to detect the reactive oxygen species (ROS) accumulation and Lactate dehydrogenase (LDH) contents, respectively. Quantitative reverse transcription polymerase chain reaction (qRT-PCR) was used to detect LINC00936, Wnt3a and miR-4795-3p levels. Western blot detected Wnt3a protein expression. Dual luciferase reporter assays detected the relationship of miR-4795-3p to LINC00936 or Wnt3a. Echocardiography analysis detected cardiac function. 2,3,5-Triphenyltetrazolium chloride (TTC) detected the infarct size. Masson staining detected the pathological changes. LINC00936 level was elevated in the MI patients compared with the controls. Overexpression of LINC00936 promoted apoptosis and ROS accumulation in hypoxia H9C2 model and exacerbated MI progression in vivo. miR-4795-3p bound with LINC00936 in H9C2 cells and miR-4795-3p mimics inhibited apoptosis and ROS accumulation in hypoxia H9C2 model regulated by LINC00936. Wnt3a was targeted by miR-4795-3p and Wnt3a elevation promoted apoptosis and ROS accumulation in hypoxia H9C2 model. In this report, we illustrated that LINC00936 exacerbated MI progression via the miR-4795-3p/Wnt3a signaling pathway based on biological and imaging methods. These findings might provide potential molecular target for the diagnosis and treatment of MI.

The Characters of Non-Coding RNAs and Their Biological Roles in Plant Development and Abiotic Stress Response.

Plant growth and development are greatly affected by the environment. Many genes have been identified to be involved in regulating plant development and adaption of abiotic stress. Apart from protein-coding genes, more and more evidence indicates that non-coding RNAs (ncRNAs), including small RNAs and long ncRNAs (lncRNAs), can target plant developmental and stress-responsive mRNAs, regulatory genes, DNA regulatory regions, and proteins to regulate the transcription of various genes at the transcriptional, posttranscriptional, and epigenetic level. Currently, the molecular regulatory mechanisms of sRNAs and lncRNAs controlling plant development and abiotic response are being deeply explored. In this review, we summarize the recent research progress of small RNAs and lncRNAs in plants, focusing on the signal factors, expression characters, targets functions, and interplay network of ncRNAs and their targets in plant development and abiotic stress responses. The complex molecular regulatory pathways among small RNAs, lncRNAs, and targets in plants are also discussed. Understanding molecular mechanisms and functional implications of ncRNAs in various abiotic stress responses and development will benefit us in regard to the use of ncRNAs as potential character-determining factors in molecular plant breeding.

A Novel Necroptosis-Related lncRNA Signature Predicts the Prognosis of Lung Adenocarcinoma.

Background: Necroptosis is closely related to the tumorigenesis and development of cancer. An increasing number of studies have demonstrated that targeting necroptosis could be a novel treatment strategy for cancer. However, the predictive potential of necroptosis-related long noncoding RNAs (lncRNAs) in lung adenocarcinoma (LUAD) still needs to be clarified. This study aimed to construct a prognostic signature based on necroptosis-related lncRNAs to predict the prognosis of LUAD. Methods: We downloaded RNA sequencing data from The Cancer Genome Atlas database. Co-expression network analysis, univariate Cox regression, and least absolute shrinkage and selection operator were adopted to identify necroptosis-related prognostic lncRNAs. We constructed the predictive signature by multivariate Cox regression. Kaplan–Meier analysis, time-dependent receiver operating characteristics, nomogram, and calibration curves were used to validate and evaluate the signature. Subsequently, we used gene set enrichment analysis (GSEA) and single-sample gene set enrichment analysis (ssGSEA) to explore the relationship between the predictive signature and tumor immune microenvironment of risk groups. Finally, the correlation between the predictive signature and immune checkpoint expression of LUAD patients was also analyzed. Results: We constructed a signature composed of 7 necroptosis-related lncRNAs (AC026355.2, AC099850.3, AF131215.5, UST-AS2, ARHGAP26-AS1, FAM83A-AS1, and AC010999.2). The signature could serve as an independent predictor for LUAD patients. Compared with clinicopathological variables, the necroptosis-related lncRNA signature has a higher diagnostic efficiency, with the area under the receiver operating characteristic curve being 0.723. Meanwhile, when patients were stratified according to different clinicopathological variables, the overall survival of patients in the high-risk group was shorter than that of those in the low-risk group. GSEA showed that tumor- and immune-related pathways were mainly enriched in the low-risk group. ssGSEA further confirmed that the predictive signature was significantly related to the immune status of LUAD patients. The immune checkpoint analysis displayed that low-risk patients had a higher immune checkpoint expression, such as CTLA-4, HAVCR2, PD-1, and TIGIT. This suggested that immunological function is more active in the low-risk group LUAD patients who might benefit from checkpoint blockade immunotherapies. Conclusion: The predictive signature can independently predict the prognosis of LUAD, helps elucidate the mechanism of necroptosis-related lncRNAs in LUAD, and provides immunotherapy guidance for patients with LUAD.

Identification and characterization of heat-responsive lncRNAs in maize inbred line CM1

BackgroundFrequent occurrence of extreme high temperature is a major threat to crop production. Increasing evidence demonstrates that long non-coding RNAs (lncRNAs) have important biological functions in the regulation of the response to heat stress. However, the regulatory mechanism of lncRNAs involved in heat response requires further exploration and the regulatory network remains poorly understood in maize.ResultsIn this research, high-throughput sequencing was adopted to systematically identify lncRNAs in maize inbred line CM1. In total, 53,249 lncRNAs (259 known lncRNAs and 52,990 novel lncRNAs) were detected, of which 993 lncRNAs showed significantly differential expression (DElncRNAs) under heat stress. By predicting the target genes, 953 common targets shared by cis- and trans-regulation of the DElncRNAs were identified, which exhibited differential expression between the control and the heat stress treatments. Functional annotation indicated that a number of important biological processes and pathways, including photosynthesis, metabolism, translation, stress response, hormone signal transduction, and spliceosome, were enriched for the common targets, suggesting that they play important roles in heat response. A lncRNA-mediated regulatory network was constructed to visualize the molecular response mechanism in response to heat stress, which represented the direct regulatory relationships of DElncRNAs, differentially expressed miRNAs, target genes, and functional annotations.ConclusionsThis study lays a foundation for further elucidation of the regulatory mechanism for the response to heat stress in the maize inbred line CM1. The findings provide important information for identification of heat-responsive genes, which will be beneficial for the molecular breeding in the cultivation of heat-tolerant maize germplasm.

LncRNA SLC16A1-AS1 contributes to the progression of hepatocellular carcinoma cells by modulating miR-411/MITD1 axis.

BackgroundHepatocellular carcinoma (HCC) is a common malignancy with high morbidity. The current study aimed to explore the molecular mechanism of lncRNA SLC16A1‐AS1 in the tumorigenesis of HCC.Material and methodsThe expression of SLC16A1‐AS1 and miR‐411 was examined in clinical HCC tissues. HCC cell lines Hep3B and Huh‐7 were employed and transfected with si‐SLC16A1‐AS1. The correlation between SLC16A1‐AS1 and miR‐411 was verified by luciferase reporter assay. Cell viability was detected by CCK‐8 assay. Cell migration and invasion capacity were examined by transwell assay. The protein level of MITD1 was analyzed by western blotting.ResultsThe expression of SLC16A1‐AS1 markedly increased in HCC tissues and cell lines. Subsequent studies identified SLC16A1‐AS1 as a downstream target of miR‐411. In addition, SLC16A1‐AS1 knockdown and miR‐411 overexpression significantly stagnated the progression of HCC cells. SLC16A1‐AS1 knockdown also downregulated MITD1 levels.ConclusionOur findings showed that SLC16A1‐AS1 was overexpressed in HCC cells and tissues. SLC16A1‐AS1 promoted the malignant characteristics of HCC cells and acted as an oncogene. Its regulatory effect may be associated with miR‐411/MITD1 axis. Therefore, SLC16A1‐AS1 has the potential to be used as a biomarker or therapeutic target for the treatment of HCC.