lncRNA Localization Research Articles

Role of the SAF-A SAP domain in X inactivation, transcription, splicing, and cell proliferation.

SAF-A is conserved throughout vertebrates and has emerged as an important factor regulating a multitude of nuclear functions, including lncRNA localization, gene expression, and splicing. SAF-A has several functional domains, including an N-terminal SAP domain that binds directly to DNA. Phosphorylation of SAP domain serines S14 and S26 are important for SAF-A localization and function during mitosis, however whether these serines are involved in interphase functions of SAF-A is not known. In this study we tested for the role of the SAP domain, and SAP domain serines S14 and S26 in X chromosome inactivation, protein dynamics, gene expression, splicing, and cell proliferation. Here we show that the SAP domain serines S14 and S26 are required to maintain XIST RNA localization and polycomb-dependent histone modifications on the inactive X chromosome in female cells. In addition, we present evidence that an Xi localization signal resides in the SAP domain. We found that that the SAP domain is not required to maintain gene expression and plays only a minor role in mRNA splicing. In contrast, the SAF-A SAP domain, in particular serines S14 and S26, are required for normal protein dynamics, and to maintain normal cell proliferation. We propose a model whereby dynamic phosphorylation of SAF-A serines S14 and S26 mediates rapid turnover of SAF-A interactions with DNA during interphase.

Abstract A18: STC-15, a novel METTL3 inhibitor, and its combination with Venetoclax confer anti-tumour activity in AML models

Abstract N6-methyladenosine (m6A) is one of the most abundant RNA modifications, which influences mRNA and lncRNA localization, half-life, translation, and splicing. The majority of m6A modifications on cellular mRNAs are deposited by the RNA methyltransferase METTL3. To date, METTL3 has been implicated in the initiation and progression of multiple cancer types, with the highest expression of METTL3 mRNA observed in acute myeloid leukemia (AML). Currently, one line of standard of care therapy for AML patients is Venetoclax, which targets the anti-apoptotic protein BCL2. It was shown that m6A, deposited by METTL3 on BCL2 transcript, affects BCL2 mRNA stability and translation. Storm Therapeutics has developed potent and selective METTL3 inhibitors, including the clinical candidate STC-15. Here, we explore pharmacological inhibition of METTL3 as monotherapy or in combination with Venetoclax in AML models in vitro and in vivo. Sulforhodamine B and CellTiterGloTM assays were used to assess the viability of AML cell lines and patient-derived xenografts (PDXs), respectively, following METTL3 inhibition in vitro. BCL2 protein level was evaluated by Western blotting. SynergyFinder software was used to assess the degree of synergy between METTL3 inhibitors and Venetoclax. Intra-tibial implantation of human-derived AML cells (AML-PDXs) in NSG mice was used to determine single agent and combination therapy efficacy. Multiple AML cells lines and AML-PDXs were sensitive to pharmacological inhibition of METTL3 in vitro, as assessed by loss of viability. Treatment with METTL3 inhibitors led to downregulation of BCL2 protein level in several AML cell lines, as previously suggested by literature. Based on these results, the synergy between METTL3 inhibition and Venetoclax was assessed. Matrix-combination experiments have shown a high degree of synergy between the two drugs (defined by a synergy score >10) in THP-1 and MOLM-13 cell lines. To test METTL3 inhibition as a monotherapy and in combination with Venetoclax in vivo, three AML-PDX studies were initiated. Significantly lower spleen weight was observed in all animals treated with STC-15 or STC-15 + Venetoclax, and reduced number of circulating hCD45+ cells was observed in 2 out of the 3 models. In one of the models, STC-15 monotherapy outperformed Venetoclax (median survival 68 days vs 58 days, respectively), while the combination therapy extended median group survival to 85 days in comparison to 51.5 days in the vehicle group. In conclusion, we demonstrated that METTL3 inhibition results in anti-tumour effects across different AML models. Moreover, we demonstrated a synergistic effect between the novel METTL3 inhibitor STC-15 and Venetoclax, both in vitro and in vivo. These studies provide evidence for the utility of METTL3 inhibitor as a new therapeutic agent to treat AML. Currently, STC-15 is under clinical development (NCT05584111). Citation Format: Lina Vasiliauskaite, Yaara Ofir-Rosenfeld, Mark Albertella, Coralie Hoareau-Aveilla, Jerry McMahon, Oliver Rausch. STC-15, a novel METTL3 inhibitor, and its combination with Venetoclax confer anti-tumour activity in AML models [abstract]. In: Proceedings of the AACR Special Conference: Acute Myeloid Leukemia and Myelodysplastic Syndrome; 2023 Jan 23-25; Austin, TX. Philadelphia (PA): AACR; Blood Cancer Discov 2023;4(3_Suppl):Abstract nr A18.

Exploring the lncRNA localization landscape within the retinal pigment epithelium under normal and stress conditions

BackgroundLong noncoding RNAs (lncRNAs) are emerging as a class of genes whose importance has yet to be fully realized. It is becoming clear that the primary function of lncRNAs is to regulate gene expression, and they do so through a variety of mechanisms that are critically tied to their subcellular localization. Although most lncRNAs are poorly understood, mapping lncRNA subcellular localization can provide a foundation for understanding these mechanisms.ResultsHere, we present an initial step toward uncovering the localization landscape of lncRNAs in the human retinal pigment epithelium (RPE) using high throughput RNA-Sequencing (RNA-Seq). To do this, we differentiated human induced pluripotent stem cells (iPSCs) into RPE, isolated RNA from nuclear and cytoplasmic fractions, and performed RNA-Seq on both. Furthermore, we investigated lncRNA localization changes that occur in response to oxidative stress. We discovered that, under normal conditions, most lncRNAs are seen in both the nucleus and the cytoplasm to a similar degree, but of the transcripts that are highly enriched in one compartment, far more are nuclear than cytoplasmic. Interestingly, under oxidative stress conditions, we observed an increase in lncRNA localization in both nuclear and cytoplasmic fractions. In addition, we found that nuclear localization was partially attributable to the presence of previously described nuclear retention motifs, while adenosine to inosine (A-to-I) RNA editing appeared to play a very minimal role.ConclusionsOur findings map lncRNA localization in the RPE and provide two avenues for future research: 1) how lncRNAs function in the RPE, and 2) how one environmental factor, in isolation, may potentially play a role in retinal disease pathogenesis through altered lncRNA localization.

Evolutionary divergence of Firre localization and expression.

Long noncoding RNAs (lncRNAs) are rapidly evolving and thus typically poorly conserved in their sequences. How these sequence differences affect the characteristics and potential functions of lncRNAs with shared synteny remains unclear. Here we show that the syntenically conserved lncRNA Firre displays distinct expression and localization patterns in human and mouse. Single molecule RNA FISH reveals that in a range of cell lines, mouse Firre (mFirre) is predominantly nuclear, while human FIRRE (hFIRRE) is distributed between the cytoplasm and nucleus. This localization pattern is maintained in human/mouse hybrid cells expressing both human and mouse Firre, implying that the localization of the lncRNA is species autonomous. We find that the majority of hFIRRE transcripts in the cytoplasm are comprised of isoforms that are enriched in RRD repeats. We furthermore determine that in various tissues, mFirre is more highly expressed than its human counterpart. Our data illustrate that the rapid evolution of syntenic lncRNAs can lead to variations in lncRNA localization and abundance, which in turn may result in disparate lncRNA functions even in closely related species.

IDDLncLoc: Subcellular Localization of LncRNAs Based on a Framework for Imbalanced Data Distributions.

Long non-coding RNAs play a crucial role in many life processes of cell, such as genetic markers, RNA splicing, signaling, and protein regulation. Considering that identifying lncRNA's localization in the cell through experimental methods is complicated, hard to reproduce, and expensive, we propose a novel method named IDDLncLoc in this paper, which adopts an ensemble model to solve the problem of the subcellular localization. In the proposal model, dinucleotide-based auto-cross covariance features, k-mer nucleotide composition features, and composition, transition, and distribution features are introduced to encode a raw RNA sequence to vector. To screen out reliable features, feature selection through binomial distribution, and recursive feature elimination is employed. Furthermore, strategies of oversampling in mini-batch, random sampling, and stacking ensemble strategies are customized to overcome the problem of data imbalance on the benchmark dataset. Finally, compared with the latest methods, IDDLncLoc achieves an accuracy of 94.96% on the benchmark dataset, which is 2.59% higher than the best method, and the results further demonstrate IDDLncLoc is excellent on the subcellular localization of lncRNA. Besides, a user-friendly web server is available at http://lncloc.club .

Introduction and Overview.

As sequencing technologies improved, new classes of genes were uncovered. Initially, many of these were considered non-functional given their low protein-coding potential but have now emerged as important regulators of biological processes. One of the new classes of genes are called long noncoding RNAs (lncRNAs). LncRNAs are the largest group of transcribed RNA. As their name suggests, they are non-protein coding genes. To differentiate them from other smaller, noncoding RNAs, lncRNAs are transcripts whose length are greater than 200 nucleotides. According to GENCODE Release 38, there are approximately 18,000 lncRNAs, of which only 4% have a known function. Of the lncRNAs characterized, many of them play regulatory roles in many biological processes, including regulation of gene expression, alternative splicing, chromatin modification, protein activity, and posttranscriptional mechanisms. Compared to protein coding genes, lncRNAs show high cell type specificity. Many lncRNAs have been shown to be expressed in distinct immune cell populations and play RNA-mediated immune-regulatory roles. Many aspects of the immune response, including the duration, magnitude, and subsequent return to homeostasis are carefully controlled. Dysregulation of lncRNAs can result in an uncontrolled immune response, which can lead to a variety of immune-related diseases. This introduction aims to summarize the chapters highlighting the discovery of lncRNAs, their role in the immune response, and their functional characterization, either through interaction with DNA, RNA, and/or proteins in distinct immune cell populations or cells implicated in immune-related diseases. Additionally, the immune regulatory role of lncRNAs will be covered, and how lncRNA localization, sequence and secondary structure can inform function. Delving into this largely unexplored field can identify lncRNAs as potential therapeutic targets.

LNCcation: lncRNA localization and function.

Subcellular localization of RNAs has gained attention in recent years as a prevalent phenomenon that influences numerous cellular processes. This is also evident for the large and relatively novel class of long noncoding RNAs (lncRNAs). Because lncRNAs are defined as RNA transcripts >200 nucleotides that do not encode protein, they are themselves the functional units, making their subcellular localization critical to their function. The discovery of tens of thousands of lncRNAs and the cumulative evidence involving them in almost every cellular activity render assessment of their subcellular localization essential to fully understanding their biology. In this review, we summarize current knowledge of lncRNA subcellular localization, factors controlling their localization, emerging themes, including the role of lncRNA isoforms and the involvement of lncRNAs in phase separation bodies, and the implications of lncRNA localization on their function and on cellular behavior. We also discuss gaps in the current knowledge as well as opportunities that these provide for novel avenues of investigation.

LncRNAs in development and differentiation: from sequence motifs to functional characterization

The number of long noncoding RNAs (lncRNAs) with characterized developmental and cellular functions continues to increase, but our understanding of the molecular mechanisms underlying lncRNA functions, and how they are dictated by RNA sequences, remains limited. Relatively short, conserved sequence motifs embedded in lncRNA transcripts are often important determinants of lncRNA localization, stability and interactions. Identifying such RNA motifs remains challenging due to the substantial length of lncRNA transcripts and the rapid evolutionary turnover of lncRNA sequences. Nevertheless, the recent discovery of specific RNA elements, together with their experimental interrogation, has enabled the first step in classifying heterogeneous lncRNAs into sub-groups with similar molecular mechanisms and functions. In this Review, we focus on lncRNAs with roles in development, cell differentiation and normal physiology in vertebrates, and we discuss the sequence elements defining their functions. We also summarize progress on the discovery of regulatory RNA sequence elements, as well as their molecular functions and interaction partners.

LncRNA-PACER upregulates COX-2 and PGE2 through the NF-κB pathway to promote the proliferation and invasion of colorectal-cancer cells.

Backgroundp50-associated cyclooxygenase-2 extragenic RNA (PACER) is a recently identified antisense long non-coding RNA (lncRNA) located on the upstream of the promoter region of cyclooxygenase-2 (COX-2). Preliminary studies have suggested that PACER is involved in the regulation of COX-2 expression in macrophagocyte and osteosarcoma cells. However, the role of this lncRNA in colorectal cancer (CRC) remains elusive. Here, we investigated the expression of PACER and its effect on cell proliferation and invasion to explore the role of PACER in CRC.MethodsReal-time quantitative PCR (RT-qPCR) analysis was used to evaluate the expression of PACER in CRC tissues and cells. Methyl thiazolyl tetrazolium (MTT) analysis was then used to investigate the inhibition effect of PACER knock-down in cell proliferation. The promoting role of this lncRNA on invasion by CRC cells was analysed by wound-healing assays, colony-formation assay, and transwell assays. We then used fluorescence in situ hybridization (FISH) to establish the subcellular localization of PACER. COX-2 protein levels were quantified by Western blot analysis and grayscale scanning analysis following the knock-down of PACER. Luciferase assay was carried out to monitor the modulation of the COX-2 promoter region by PACER. Tumor xenografts models were used to investigate the impact of PACER on the tumorigenesis of CRC cells in vivo. Enzyme-linked immunosorbent assay (ELISA) was then used to quantify prostaglandin E2 (PGE2) production upon knock-down of PACER.ResultsRT-qPCR analysis revealed that PACER was highly expressed in CRC tissues and cells, and a high PACER-expression level was associated with poor prognosis. MTT assay, wound-healing assay, colony-formation assay, and transwell assay revealed that PACER enhanced CRC-cell proliferation, invasion, and metastasis in vitro. Analysis of lncRNA localization by FISH showed that it mainly resided in the nucleus. RT-qPCR showed that PACER increased mRNA levels of COX-2. Western blot analysis demonstrated, under normal circumstances, that knock-down of PACER decreased the COX-2 protein level. In the case of p50 absence, COX-2 protein increased rapidly and remained highly expressed after knocking down PACER. Luciferase assay revealed that PACER modulated the COX-2 promoter region. Mouse xenograft models of CRC revealed that PACER promoted colorectal tumorigenesis in vivo. ELISA revealed that PACER knock-down inhibited PGE2 production.ConclusionsPACER modulates COX-2 expression through the nuclear factor kappa B (NF-κB) pathway in CRC. An increased level of PACER enhances proliferation, migration, and invasion of tumor cells by increasing COX-2 and PGE2 synthesis.

Enhanced nucleotide chemistry and toehold nanotechnology reveals lncRNA spreading on chromatin.

Understanding the targeting and spreading patterns of long non-coding RNAs (lncRNAs) on chromatin requires a technique that can detect both high-intensity binding sites and reveal genome-wide changes in spreading patterns with high precision and confidence. Here we determine lncRNA localization using biotinylated locked nucleic acid (LNA)-containing oligonucleotides with toehold architecture capable of hybridizing to target RNA through strand-exchange reaction. During hybridization, a protecting strand competitively displaces contaminating species, leading to highly specific RNA capture of individual RNAs. Analysis of Drosophila roX2 lncRNA using this approach revealed that heat shock, unlike the unfolded protein response, leads to reduced spreading of roX2 on the X chromosome, but surprisingly also to relocalization to sites on autosomes. Our results demonstrate that this improved hybridization capture approach can reveal previously uncharacterized changes in the targeting and spreading of lncRNAs on chromatin.

Approaches for Understanding the Mechanisms of Long Noncoding RNA Regulation of Gene Expression.

Mammalian genomes encode tens of thousands of long noncoding RNAs (lncRNAs) that have been implicated in a diverse array of biological processes and human diseases. In recent years, the development of new tools for studying lncRNAs has enabled important progress in defining the mechanisms by which Xist and other lncRNAs function. This collective work provides a framework for how to define the mechanisms by which lncRNAs act. This includes defining lncRNA function, identifying and characterizing lncRNA-protein interactions, and lncRNA localization in the cell. In this review, we discuss various experimental approaches for deciphering lncRNA mechanisms and discuss issues and limitations in interpreting these results. We explore what these data can reveal about lncRNA function and mechanism as well as emerging insights into lncRNA biology that have been derived from these studies.

Imaging-based pooled CRISPR screening reveals regulators of lncRNA localization

Pooled-library CRISPR screening provides a powerful means to discover genetic factors involved in cellular processes in a high-throughput manner. However, the phenotypes accessible to pooled-library screening are limited. Complex phenotypes, such as cellular morphology and subcellular molecular organization, as well as their dynamics, require imaging-based readout and are currently beyond the reach of pooled-library CRISPR screening. Here we report an all imaging-based pooled-library CRISPR screening approach that combines high-content phenotype imaging with high-throughput single guide RNA (sgRNA) identification in individual cells. In this approach, sgRNAs are codelivered to cells with corresponding barcodes placed at the 3' untranslated region of a reporter gene using a lentiviral delivery system with reduced recombination-induced sgRNA-barcode mispairing. Multiplexed error-robust fluorescence in situ hybridization (MERFISH) is used to read out the barcodes and hence identify the sgRNAs with high accuracy. We used this approach to screen 162 sgRNAs targeting 54 RNA-binding proteins for their effects on RNA localization to nuclear compartments and uncovered previously unknown regulatory factors for nuclear RNA localization. Notably, our screen revealed both positive and negative regulators for the nuclear speckle localization of a long noncoding RNA, MALAT1, suggesting a dynamic regulation of lncRNA localization in subcellular compartments.

Prediction of LncRNA Subcellular Localization with Deep Learning from Sequence Features

Long non-coding RNAs are involved in biological processes throughout the cell including the nucleus, chromatin and cytosol. However, most lncRNAs remain unannotated and functional annotation of lncRNAs is difficult due to their low conservation and their tissue and developmentally specific expression. LncRNA subcellular localization is highly informative regarding its biological function, although it is difficult to discover because few prediction methods currently exist. While protein subcellular localization prediction is a well-established research field, lncRNA localization prediction is a novel research problem. We developed DeepLncRNA, a deep learning algorithm which predicts lncRNA subcellular localization directly from lncRNA transcript sequences. We analyzed 93 strand-specific RNA-seq samples of nuclear and cytosolic fractions from multiple cell types to identify differentially localized lncRNAs. We then extracted sequence-based features from the lncRNAs to construct our DeepLncRNA model, which achieved an accuracy of 72.4%, sensitivity of 83%, specificity of 62.4% and area under the receiver operating characteristic curve of 0.787. Our results suggest that primary sequence motifs are a major driving force in the subcellular localization of lncRNAs.

Catching RNAs on chromatin using hybridization capture methods.

The growing appreciation of the importance of long noncoding RNAs (lncRNAs), together with the awareness that some of these RNAs are associated with chromatin, has inspired the development of methods to detect their sites of interaction on a genome-wide scale at high resolution. Hybridization capture methods combine antisense oligonucleotide hybridization with enrichment of RNA from cross-linked chromatin extracts. These techniques have provided insight into lncRNA localization and the interactions of lncRNAs with protein to better understand biological roles of lncRNAs. Here, we review the core principles of hybridization capture methods, focusing on the three most commonly used protocols: capture hybridization analysis of RNA targets (CHART), chromatin isolation by RNA purification (ChIRP) and RNA affinity purification (RAP). We highlight the general principles of these techniques and discuss how differences in experimental procedures present distinct challenges to help researchers using these protocols or, more generally, interpreting the results of hybridization capture experiments.

LncATLAS database for subcellular localization of long noncoding RNAs.

The subcellular localization of long noncoding RNAs (lncRNAs) holds valuable clues to their molecular function. However, measuring localization of newly discovered lncRNAs involves time-consuming and costly experimental methods. We have created “lncATLAS,” a comprehensive resource of lncRNA localization in human cells based on RNA-sequencing data sets. Altogether, 6768 GENCODE-annotated lncRNAs are represented across various compartments of 15 cell lines. We introduce relative concentration index (RCI) as a useful measure of localization derived from ensemble RNA-seq measurements. LncATLAS is accessible through an intuitive and informative webserver, from which lncRNAs of interest are accessed using identifiers or names. Localization is presented across cell types and organelles, and may be compared to the distribution of all other genes. Publication-quality figures and raw data tables are automatically generated with each query, and the entire data set is also available to download. LncATLAS makes lncRNA subcellular localization data available to the widest possible number of researchers. It is available at lncatlas.crg.eu.

Cytoplasmic long noncoding RNAs are frequently bound to and degraded at ribosomes in human cells.

Recent footprinting studies have made the surprising observation that long noncoding RNAs (lncRNAs) physically interact with ribosomes. However, these findings remain controversial, and the overall proportion of cytoplasmic lncRNAs involved is unknown. Here we make a global, absolute estimate of the cytoplasmic and ribosome-associated population of stringently filtered lncRNAs in a human cell line using polysome profiling coupled to spike-in normalized microarray analysis. Fifty-four percent of expressed lncRNAs are detected in the cytoplasm. The majority of these (70%) have >50% of their cytoplasmic copies associated with polysomal fractions. These interactions are lost upon disruption of ribosomes by puromycin. Polysomal lncRNAs are distinguished by a number of 5′ mRNA-like features, including capping and 5′UTR length. On the other hand, nonpolysomal “free cytoplasmic” lncRNAs have more conserved promoters and a wider range of expression across cell types. Exons of polysomal lncRNAs are depleted of endogenous retroviral insertions, suggesting a role for repetitive elements in lncRNA localization. Finally, we show that blocking of ribosomal elongation results in stabilization of many associated lncRNAs. Together these findings suggest that the ribosome is the default destination for the majority of cytoplasmic long noncoding RNAs and may play a role in their degradation.

Localization and abundance analysis of human lncRNAs at single-cell and single-molecule resolution.

BackgroundLong non-coding RNAs (lncRNAs) have been implicated in diverse biological processes. In contrast to extensive genomic annotation of lncRNA transcripts, far fewer have been characterized for subcellular localization and cell-to-cell variability. Addressing this requires systematic, direct visualization of lncRNAs in single cells at single-molecule resolution.ResultsWe use single-molecule RNA-FISH to systematically quantify and categorize the subcellular localization patterns of a representative set of 61 lncRNAs in three different cell types. Our survey yields high-resolution quantification and stringent validation of the number and spatial positions of these lncRNA, with an mRNA set for comparison. Using this highly quantitative image-based dataset, we observe a variety of subcellular localization patterns, ranging from bright sub-nuclear foci to almost exclusively cytoplasmic localization. We also find that the low abundance of lncRNAs observed from cell population measurements cannot be explained by high expression in a small subset of ‘jackpot’ cells. Additionally, nuclear lncRNA foci dissolve during mitosis and become widely dispersed, suggesting these lncRNAs are not mitotic bookmarking factors. Moreover, we see that divergently transcribed lncRNAs do not always correlate with their cognate mRNA, nor do they have a characteristic localization pattern.ConclusionsOur systematic, high-resolution survey of lncRNA localization reveals aspects of lncRNAs that are similar to mRNAs, such as cell-to-cell variability, but also several distinct properties. These characteristics may correspond to particular functional roles. Our study also provides a quantitative description of lncRNAs at the single-cell level and a universally applicable framework for future study and validation of lncRNAs.Electronic supplementary materialThe online version of this article (doi:10.1186/s13059-015-0586-4) contains supplementary material, which is available to authorized users.