In silico genome wide identification of long non-coding RNAs differentially expressed during Candida auris host pathogenesis.

Candida auris is an invasive fungal pathogen of high concern due to acquired drug tolerance against antifungals used in clinics. The prolonged persistence on biotic and abiotic surfaces can result in onset of hospital outbreaks causing serious health threat. An in depth understanding of pathology of C. auris is highly desirable for development of efficient therapeutics. Non-coding RNAs play crucial role in fungal pathology. However, the information about ncRNAs is scanty to be utilized. Herein our aim is to identify long noncoding RNAs with potent role in pathobiology of C. auris. Thereby, we analyzed the transcriptomics data of C. auris infection in blood for identification of potential lncRNAs with regulatory role in determining invasion, survival or drug tolerance under infection conditions. Interestingly, we found 275 lncRNAs, out of which 253 matched with lncRNAs reported in Candidamine, corroborating for our accurate data analysis pipeline. Nevertheless, we obtained 23 novel lncRNAs not reported earlier. Three lncRNAs were found to be under expressed throughout the course of infection, in the transcriptomics data. 16 of potent lncRNAs were found to be coexpressed with coding genes, emphasizing for their functional role. Noteworthy, these ncRNAs are expressed from intergenic regions of the genes associated with transporters, metabolism, cell wall biogenesis. This study recommends for possible association between lncRNA expression and C. auris pathogenesis.

Functional identification of cis-regulatory long noncoding RNAs at controlled false discovery rates.

A key attribute of some long noncoding RNAs (lncRNAs) is their ability to regulate expression of neighbouring genes in cis. However, such 'cis-lncRNAs' are presently defined using ad hoc criteria that, we show, are prone to false-positive predictions. The resulting lack of cis-lncRNA catalogues hinders our understanding of their extent, characteristics and mechanisms. Here, we introduce TransCistor, a framework for defining and identifying cis-lncRNAs based on enrichment of targets amongst proximal genes. TransCistor's simple and conservative statistical models are compatible with functionally defined target gene maps generated by existing and future technologies. Using transcriptome-wide perturbation experiments for 268 human and 134 mouse lncRNAs, we provide the first large-scale survey of cis-lncRNAs. Known cis-lncRNAs are correctly identified, including XIST, LINC00240 and UMLILO, and predictions are consistent across analysis methods, perturbation types and independent experiments. We detect cis-activity in a minority of lncRNAs, primarily involving activators over repressors. Cis-lncRNAs are detected by both RNA interference and antisense oligonucleotide perturbations. Mechanistically, cis-lncRNA transcripts are observed to physically associate with their target genes and are weakly enriched with enhancer elements. In summary, TransCistor establishes a quantitative foundation for cis-lncRNAs, opening a path to elucidating their molecular mechanisms and biological significance.

Temporal transcriptomic changes in long non-coding RNAs and messenger RNAs involved in the host immune and metabolic response during Toxoplasma gondii lytic cycle.

BACKGROUND: Long non-coding RNAs (lncRNAs) are important regulators of various biological and pathological processes, in particular the inflammatory response by modulating the transcriptional control of inflammatory genes. However, the role of lncRNAs in regulating the immune and inflammatory responses during infection with the protozoan parasite Toxoplasma gondii remains largely unknown. METHODS: We performed a longitudinal RNA sequencing analysis of human foreskin fibroblast (HFF) cells infected by T. gondii to identify differentially expressed long non-coding RNAs (lncRNAs) and messenger RNAs (mRNAs), and dysregulated pathways over the course of T. gondii lytic cycle. The transcriptome data were validated by qRT-PCR. RESULTS: RNA sequencing revealed significant transcriptional changes in the infected HFFs. A total of 697, 1234, 1499, 873, 1466, 561, 676 and 716 differentially expressed lncRNAs (DElncRNAs), and 636, 1266, 1843, 2303, 3022, 1757, 3088 and 2531 differentially expressed mRNAs (DEmRNAs) were identified at 1.5, 3, 6, 9, 12, 24, 36 and 48 h post-infection, respectively. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis of DElncRNAs and DEmRNAs revealed that T. gondii infection altered the expression of genes involved in the regulation of host immune response (e.g., cytokine-cytokine receptor interaction), receptor signaling (e.g., NOD-like receptor signaling pathway), disease (e.g., Alzheimer's disease), and metabolism (e.g., fatty acid degradation). CONCLUSIONS: These results provide novel information for further research on the role of lncRNAs in immune regulation of T. gondii infection.

Identification of differentially expressed long noncoding RNAs and pathways in liver tissues from rats with hepatic fibrosis.

To identify long non-coding RNAs (lncRNAs) and their potential roles in hepatic fibrosis in rat liver issues induced by CCl4, lncRNAs and genes were analyzed in fibrotic rat liver tissues by RNA sequencing and verified by quantitative reverse transcription polymerase chain reaction (qRT-PCR). Differentially expressed (DE) lncRNAs (DE-lncRNAs) and genes were subjected to bioinformatics analysis and used to construct a co-expression network. We identified 10 novel DE-lncRNAs that were downregulated during the hepatic fibrosis process. The cis target gene of DE-lncRNA, XLOC118358, was Met, and the cis target gene of the other nine DE-lncRNAs, XLOC004600, XLOC004605, XLOC004610, XLOC004611, XLOC004568, XLOC004580 XLOC004598, XLOC004601, and XLOC004602 was Nox4. The results of construction of a pathway-DEG co-expression network show that lncRNA-Met and lncRNAs-Nox4 were involved in oxidation-reduction processes and PI3K/Akt signaling pathway. Our results identified 10 DE-lncRNAs related to hepatic fibrosis, and the potential roles of DE-lncRNAs and target genes in hepatic fibrosis might provide new therapeutic strategies for hepatic fibrosis.

Custom long non-coding RNA capture enhances detection sensitivity in different human sample types.

Long non-coding RNAs (lncRNAs) are a heterogeneous group of transcripts that lack protein coding potential and display regulatory functions in various cellular processes. As a result of their cell- and cancer-specific expression patterns, lncRNAs have emerged as potential diagnostic and therapeutic targets. The accurate characterization of lncRNAs in bulk transcriptome data remains challenging due to their low abundance compared to protein coding genes. To tackle this issue, we describe a unique short-read custom lncRNA capture sequencing approach that relies on a comprehensive set of 565,878 capture probes for 49,372 human lncRNA genes. This custom lncRNA capture approach was evaluated on various sample types ranging from artificial high-quality RNA mixtures to more challenging formalin-fixed paraffin-embedded tissue and biofluid material. The custom enrichment approach allows the detection of a more diverse repertoire of lncRNAs, with better reproducibility and higher coverage compared to classic total RNA-sequencing.

Long Non-Coding RNA TP53TG1 Upregulates SHCBP1 to Promote Retinoblastoma Progression by Sponging miR-33b.

Long non-coding RNA (lncRNA) TP53 target 1 (TP53TG1) is known to be strongly associated with tumor and cancer progression. However, its expression profile, unique role, and regulatory pathways in retinoblastoma (RB) are not known. Here, we revealed a large expression of TP53TG1 in RB tissues and cell lines. Conversely, we showed marked suppression of cell proliferation, migration, and invasion in TP53TG1 knocked down RB cells. Mechanistically, we established that TP53TG1 directly interacted with microRNA (miR)-33b in RB cells. Furthermore, TP53TG1 transcripts were found to be inversely correlated with miR-33b in RB tissues. We also showed that miR-33b suppression partly reversed the TP53TG1 knockdown mediated effects on tumor biology. Finally, TP53TG1 was shown to modulate the levels of SHC Binding and Spindle Associated 1 (SHCBP1), a direct target of miR-33b in RB cells. Based on the above data, we propose that TP53TG1 regulates RB progression via its modulation of the miR-33b/SHCBP1 pathway.

Measuring lncRNA Expression by Real-Time PCR.

Long noncoding RNAs are defined as transcripts longer than 200 nt with no protein coding potential. Most lncRNAs are expressed in a tissue-specific manner and barring a few, their absolute expression is lower compared to most coding transcripts. Differential expression studies have contributed the most to the functional characterisation of the lncRNAs we know. Sensitive and specific quantification of lncRNA expression is crucial for such studies. SYBR Green dye based real time quantitative PCR is a simple and affordable method of quantitative PCR, wherein the specific binding of the dye to double stranded DNA amplicon emits fluorescence proportionate to the amount of PCR products. Here we describe a detailed protocol for successful lncRNA quantitation by reverse transcription followed by SYBR Green chemistry-based real-time PCR.

LncRNA Quantification from Extracellular Vesicles Isolated from Blood Plasma or Conditioned Media.

During the last years, the study of extracellular vesicles (EVs) and its cargo has gained interest in the scientific media. EVs have been found in all biofluids and it is postulated that all cells are capable to secrete a wide variety of these vesicles, which play a key role in different cell-to-cell communication processes as well as in the microenvironment modulation. In the EV cargo, DNA, protein, and RNA molecules can be found, including long noncoding RNAs (lncRNAs). Several authors consider the study of EV lncRNAs an ideal source of biomarkers due to the easy sampling of EVs in different biofluids and the high specificity of the lncRNA expression pattern.In the present chapter, a detailed explanation of the EV isolation workflow followed by RNA isolation and lncRNA gene expression study is provided for two sample sources: blood plasma and cell culture conditioned media. EVs from both plasma samples and cell cultured media are isolated using sequential ultracentrifugation method (UC), which has been reported as one of the best methods available to date in terms of purity. UC is followed by RNA extraction based on the combination of phenol/guanidine-based lysis of samples with silica-membrane-based purification of total RNA. LncRNA quantification is performed by qRT-PCR. This chapter includes detailed discussion on lncRNA quantification using hydrolysis probes, recommended housekeeping genes and evaluation of methods for comparing lncRNA levels between EVs and its parental cells. In summary, we describe here the main steps for a successful isolation of the EVs-lncRNA cargo, paying attention to how overcome the different challenges found in the experimental procedure and in the data analysis of lncRNA expression from this source.

Genome-Wide Analysis Identified a Set of Conserved lncRNAs Associated with Domestication-Related Traits in Rice.

Crop domestication, which gives rise to a number of desirable agronomic traits, represents a typical model system of plant evolution. Numerous genomic evidence has proven that noncoding RNAs such as microRNAs and phasiRNAs, as well as protein-coding genes, are selected during crop domestication. However, limited data shows plant long noncoding RNAs (lncRNAs) are also involved in this biological process. In this study, we performed strand-specific RNA sequencing of cultivated rice Oryza sativa ssp. japonica and O. sativa ssp. indica, and their wild progenitor O. rufipogon. We identified a total of 8528 lncRNAs, including 4072 lncRNAs in O. rufipogon, 2091 lncRNAs in japonica rice, and 2365 lncRNAs in indica rice. The lncRNAs expressed in wild rice were revealed to be shorter in length and had fewer exon numbers when compared with lncRNAs from cultivated rice. We also identified a number of conserved lncRNAs in the wild and cultivated rice. The functional study demonstrated that several of these conserved lncRNAs are associated with domestication-related traits in rice. Our findings revealed the feature and conservation of lncRNAs during rice domestication and will further promote functional studies of lncRNAs in rice.

The RNA content of human sperm reflects prior events in spermatogenesis and potential post-fertilization effects.

Transcriptome analyses using high-throughput methodologies allow a deeper understanding of biological functions in different cell types/tissues. The present study provides an RNA-seq profiling of human sperm mRNAs and lncRNAs (messenger and long non-coding RNAs) in a well-characterized population of fertile individuals. Sperm RNA was extracted from twelve ejaculate samples under strict quality controls. Poly(A)-transcripts were sequenced and aligned to the human genome. mRNAs and lncRNAs were classified according to their mean expression values (FPKM: Fragments Per Kilobase of transcript per Million mapped reads) and integrity. Gene Ontology analysis of the Expressed and Highly Expressed mRNAs showed an involvement in diverse reproduction processes, while the Ubiquitously Expressed and Highly Stable mRNAs were mainly involved in spermatogenesis. Transcription factor enrichment analyses revealed that the Highly Expressed and Ubiquitously Expressed sperm mRNAs were primarily regulated by zinc-fingers and spermatogenesis-related proteins. Regarding the Expressed lncRNAs, only one-third of their potential targets corresponded to Expressed mRNAs and were enriched in cell-cycle regulation processes. The remaining two-thirds were absent in sperm and were enriched in embryogenesis-related processes. A significant amount of post-testicular sperm mRNAs and lncRNAs was also detected. Even though our study is solely directed to the poly-A fraction of sperm transcripts, results indicate that both sperm mRNAs and lncRNAs constitute a footprint of previous spermatogenesis events and are configured to affect the first stages of embryo development.

TEP linc-GTF2H2-1, RP3-466P17.2, and lnc-ST8SIA4-12 as novel biomarkers for lung cancer diagnosis and progression prediction.

PURPOSE: Platelets contain a rich repertoire of RNA species, such as mRNAs and long non-coding RNAs. During the development of tumors, platelets are "educated" by cancer cells, altering their transcriptome and molecular content, thereby, tumor educated platelet (TEP) lncRNA profile has the potential to diagnose lung cancer. The current study was aimed to examine whether TEPs might be a potential biomarker for lung cancer. METHODS: Platelet precipitation was obtained by low-speed centrifugation. TEP linc-GTF2H2-1, RP3-466P17.2, and lnc-ST8SIA4-12 were selected by lncRNA microarray and validated by qPCR in a large cohort of lung cancer patients and healthy donors. Besides, we analyzed the association of their expression levels with clinicopathological features. RESULTS: TEP linc-GTF2H2-1 and RP3-466P17.2 were significantly downregulated, while lnc-ST8SIA4-12 was significantly upregulated in patients with lung cancer or with early-stage lung cancer as compared to healthy donors, possessing AUCs of 0.781, 0.788, 0.725 for lung cancer and 0.704, 0.771, 0.768 for early-stage lung cancer, respectively. Notably, their combination demonstrated the markedly elevated AUCs of 0.921 for lung cancer and 0.895 for early-stage lung cancer. Besides, the combination of TEP linc-GTF2H2-1 was capable to facilitate diagnostic efficiencies of CEA, Cyfra21-1, or NSE to distinguish advanced-stage lung cancer patients from early ones, with an AUC of 0.899 based on the integration of these four factors. CONCLUSION: Our data suggested that lncRNAs sequestered in TEPs enabled blood-based lung cancer diagnosis and progression prediction.

Identification of long noncoding RNAs in silkworm larvae infected with Bombyx mori cypovirus.

Bombyx mori cypovirus (BmCPV) is one of the most important pathogens causing severe disease to silkworm. Emerging evidence indicates that long noncoding RNAs (lncRNAs) play importantly regulatory roles in virus infection and host immune response. To better understand the interaction between silkworm, Bombyx mori and BmCPV, we performed a comparative transcriptome analysis on lncRNAs and mRNAs between the virus-infected and noninfected silkworm larvae midgut at two time points postinoculation. A total of 16,753 genes and 1845 candidate lncRNAs were identified, among which 356 messenger RNA (mRNAs) and 41 lncRNAs were differentially expressed (DE). Target gene prediction revealed that most of DEmRNAs (123) were coexpressed with 28 DElncRNAs, suggesting that the expression of mRNA is mainly affected through trans- regulation by BmCPV-induced lncRNAs, and a regulatory network of DElncRNAs and DEmRNAs was then constructed. According to the network, many genes involved in apoptosis, autophagy, and antiviral response, such as ATG3, PDCD6, IBP2, and MFB1, could be targeted by different DElncRNAs, implying the essential roles of these genes and lncRNAs in BmCPV infection. In all, our studies revealed for the first time the alteration of lncRNA expression in BmCPV-infected larvae and its potential influence on BmCPV replication, providing a new perspective for host-cypovirus interaction studies.

Novel Transcript Discovery Expands the Repertoire of Pathologically-Associated, Long Non-Coding RNAs in Vascular Smooth Muscle Cells.

Vascular smooth muscle cells (VSMCs) provide vital contractile force within blood vessel walls, yet can also propagate cardiovascular pathologies through proliferative and pro-inflammatory activities. Such phenotypes are driven, in part, by the diverse effects of long non-coding RNAs (lncRNAs) on gene expression. However, lncRNA characterisation in VSMCs in pathological states is hampered by incomplete lncRNA representation in reference annotation. We aimed to improve lncRNA representation in such contexts by assembling non-reference transcripts in RNA sequencing datasets describing VSMCs stimulated in vitro with cytokines, growth factors, or mechanical stress, as well as those isolated from atherosclerotic plaques. All transcripts were then subjected to a rigorous lncRNA prediction pipeline. We substantially improved coverage of lncRNAs responding to pro-mitogenic stimuli, with non-reference lncRNAs contributing 21-32% for each dataset. We also demonstrate non-reference lncRNAs were biased towards enriched expression within VSMCs, and transcription from enhancer sites, suggesting particular relevance to VSMC processes, and the regulation of neighbouring protein-coding genes. Both VSMC-enriched and enhancer-transcribed lncRNAs were large components of lncRNAs responding to pathological stimuli, yet without novel transcript discovery 33-46% of these lncRNAs would remain hidden. Our comprehensive VSMC lncRNA repertoire allows proper prioritisation of candidates for characterisation and exemplifies a strategy to broaden our knowledge of lncRNA across a range of disease states.

A novel biosensor for the ultrasensitive detection of the lncRNA biomarker MALAT1 in non-small cell lung cancer.

Long non-coding RNAs (lncRNAs) have been proposed as diagnostic biomarkers for the screening of non-small cell lung cancer and monitoring disease progression. Accordingly, new, rapid, and cost-effective lncRNA biosensors that can be used clinically are urgently needed. Herein, a novel effective and ultrasensitive electrochemical biosensor was developed based on a gold nanocage coupled with an amidated multi-walled carbon nanotube (Au NCs/MWCNT-NH2)-decorated screen-printed carbon electrode (SPCE). Because of its large surface area, superior conductivity, and excellent biocompatibility, this SPCE Au NCs/MWCNT-NH2 lncRNA biosensor showed a wide linear range (10-7-10-14 M) and low limit of detection limit (42.8 fM) coupled with satisfactory selectivity and stability. Compared to traditional RT-PCR, the proposed method exhibits acceptable stability, good selectivity, is simpler to operate, has faster detection, and uses less costly raw materials. In summary, this biosensor may be a powerful tool for detecting lncRNAs for efficient clinical prognosis and cancer diagnosis.

Identification and characterization of long noncoding RNAs and their association with acquisition of blood meal in Culex quinquefasciatus.

The Southern house mosquito, Culex quinquefasciatus (Cx. quinquefasciatus) is an important vector that transmit multiple diseases including West Nile encephalitis, Japanese encephalitis, St. Louis encephalitis and lymphatic filariasis. Long noncoding RNAs (lncRNAs) involve in many biological processes such as development, infection, and virus-host interaction. However, there is no systematic identification and characterization of lncRNAs in Cx. quinquefasciatus. Here, we report the first lncRNA identification in Cx. quinquefasciatus. By using 31 public RNA-seq datasets, a total of 4763 novel lncRNA transcripts were identified, of which 3591, 569, and 603 were intergenic, intronic, and antisense respectively. Examination of genomic features revealed that Cx. quinquefasciatus shared similar characteristics with other species such as short in length, low GC content, low sequence conservation, and low coding potential. Furthermore, compared to protein-coding genes, Cx. quinquefasciatus lncRNAs had lower expression values, and tended to be expressed in temporally specific fashion. In addition, weighted correlation network and functional annotation analyses showed that lncRNAs may have roles in blood meal acquisition of adult female Cx. quinquefasciatus mosquitoes. This study presents the first systematic identification and analysis of Cx. quinquefasciatus lncRNAs and their association with blood feeding. Results generated from this study will facilitate future investigation on the function of Cx. quinquefasciatus lncRNAs.

Identification of a stool long non-coding RNAs panel as a potential biomarker for early detection of colorectal cancer.

BACKGROUND: The feces of colorectal cancer (CRC) patients contain tumor colonocytes, which constantly shed into the lumen area. Therefore, stool evaluation can be considered as a rapid and low-risk way to directly determine the colon and rectum status. As long non-coding RNAs (lncRNAs) alterations are important in cancer cells fate regulation, we aimed to assess the level of a panel of cancer-related lncRNAs in fecal colonocytes. METHODS: The population study consisted of 150 subjects, including a training set, a validation set, and a group of 30 colon polyps. The expression levels of lncRNAs were evaluated by quantitative real-time PCR (qRT-PCR). The NPInetr and EnrichR tools were used to identify the interactions and functions of lncRNAs. RESULTS: A total of 10 significantly dysregulated lncRNAs, including CCAT1, CCAT2, H19, HOTAIR, HULC, MALAT1, PCAT1, MEG3, PTENP1, and TUSC7, were chosen for designing a predictive panel. The diagnostic performance of the panel in distinguishing CRCs from the healthy group was AUC: 0.8554 in the training set and 0.8465 in the validation set. The AUC for early CRCs (I-II TNM stages) was 0.8554 in the training set and 0.8465 in the validation set, and for advanced CRCs (III-IV TNM stages) were 0.9281 in the training set and 0.9236 in the validation set. The corresponding AUC for CRCs vs polyps were 0.9228 (I-IV TNM stages), 0.9042 (I-II TNM stages), and 0.9362 (III-IV TNM stages). CONCLUSIONS: These data represented the application of analysis of fecal colonocytes lncRNAs in early detection of CRC.

Identification of lncRNAs in response to infection by Plasmodiophora brassicae in Brassica napus and development of lncRNA-based SSR markers.

Clubroot resistance in spring canola has been introgressed from different Brassica sources; however, molecular mechanism underlying this resistance, especially the involvement of long non-coding RNAs (lncRNAs), is yet to be understood. We identified 464 differentially expressed (DE) lncRNAs from the roots of clubroot-resistant canola, carrying resistance on chromosome BnaA03, and susceptible canola lines challenged with Plasmodiophora brassicae pathotype 3. Pathway enrichment analysis showed that most of the target genes regulated by these DE lncRNAs belonged to plant-pathogen interaction and hormone signaling, as well as primary and secondary metabolic pathways. Comparative analysis of these lncRNAs with 530 previously reported DE lncRNAs, identified using resistance located on BnaA08, detected 12 lncRNAs that showed a similar trend of upregulation in both types of resistant lines; these lncRNAs probably play a fundamental role in clubroot resistance. We identified SSR markers within 196 DE lncRNAs. Genotyping of two DH populations carrying resistance on BnaA03 identified a marker capable of detecting the resistance in 98% of the DH lines. To our knowledge, this is the first report of the identification of SSRs within lncRNAs responsive to P. brassicae infection, demonstrating the potential use of lncRNAs in the breeding of Brassica crops.

Detection of Schistosoma mansoni long non-coding RNAs in the infected C57BL/6 mouse liver.

Long non-coding RNAs (lncRNAs) perform several types of regulatory functions and have been recently explored in the genus Schistosoma. Although sequencing and bioinformatics approaches have demonstrated the presence of hundreds of lncRNAs and microRNAs (miRNAs) in this genus, information regarding their abundance, characteristics, and potential functions linked to Schistosoma mansoni biology and parasite-host interaction is limited. Our objectives in the present study were to verify whether 15 previously identified S. mansoni lncRNAs are detectable in the host liver. In addition, we assess whether these lncRNAs are present in the S. mansoni infective form and the stages inside the definitive host. The detection of these 15 S. mansoni lncRNAs and a long terminal repeat (LTR) retrotransposon Saci 4 was performed in the eggs, cercariae, and 3.5-h schistosomula. All lncRNAs were found to be expressed in these stages; some of the lncRNAs were found in the livers of the infected C57BL/6 mice. In conclusion, S. mansoni lncRNAs were detected in host livers and quantified. Furthermore, many of the lncRNAs analyzed showed differential expression in the larval stages, indicating that they play a stage-specific regulatory role.

Comparative analysis of the down syndrome hippocampal non-coding RNA transcriptomes using a mouse model.

BACKGROUND: Down syndrome (DS), caused by trisomy 21, is the most common human chromosomal disorder. Hippocampal abnormalities have been believed to be responsible for the DS developmental cognitive deficits. Cumulative evidences indicated that non-coding RNAs (ncRNAs) participated in brain development and function. Currently, few was known whether dysregulated ncRNAs existed in DS whether the dysregulated ncRNAs played important pathology roles in DS. OBJECTIVE: The purpose of this study was generating an overview map of the dysregulated ncRNAs in DS, including the microRNA (miRNA), long ncRNA (lncRNA) and circular RNA (circRNAs). DS mouse models are invaluable tools for further mechanism and therapy studies. METHODS: The well-studied DS mouse model Dp(16)1/Yey was used in this study as it contains the trisomy of the whole human chromosome 21 syntenic region on mouse chromosomes 16. Hippocampi were isolated from pups of seven-days-old. Libraries for miRNA, lncRNA and circRNAs were constructed separately, and the next generation sequencing method was utilized. RESULTS: Differentially expressed (DE) miRNAs, lncRNAs and circRNAs were reported. Relative few regulating relationship were found between the DE miRNAs and DE mRNAs. LncRNAs originated from the trisomic regions expressed in clusters, but not all of them were 1.5-fold increased expressed. Dramatic DE circular RNAs were found in the DS hippocampus. The host genes of the DE circRNAs were enriched on functions which were well-known impaired in DS, e.g. long-term-potentiation, glutamatergic synapse, and GABAergic synapse. CONCLUSIONS: We generated the first DS developmental hippocampal ncRNA transcriptome map. This work laid foundations for further investigations on role of ncRNAs in hippocampal functions.

Tips for Successful lncRNA Knockdown Using Gapmers.

Long noncoding RNAs (lncRNAs) are a recently discovered class of RNA that have diverse intracellular regulatory and structural roles. Because of their wide assortment of functions, lncRNAs can have varied distributions in the nucleus and/or cytoplasm of a cell. However, even though tens of thousands of human lncRNAs have been identified, currently less than 3% have empirically validated functions. RNA knockdown is now a relatively commonplace laboratory technique used to functionally characterize an RNA. These techniques (most commonly antisense therapy and RNA interference) can even have therapeutic benefit to treat a wide variety of genetic or infectious diseases as evidenced by the several RNA knockdown reagents currently in clinical trials. This protocol describes the use of validated gapmer antisense oligonucleotides (ASOs) to knockdown human MALAT1, a nuclear-retained lncRNA that is upregulated in multiple cancer cells. Methods used include cationic lipid transfection into HeLa cells, RNA isolation, and RT-qPCR analysis of the RNA knockdown levels.