- Open Access
The human lncRNA LINC-PINT inhibits tumor cell invasion through a highly conserved sequence element
Genome Biology volume 18, Article number: 202 (2017)
It is now obvious that the majority of cellular transcripts do not code for proteins, and a significant subset of them are long non-coding RNAs (lncRNAs). Many lncRNAs show aberrant expression in cancer, and some of them have been linked to cell transformation. However, the underlying mechanisms remain poorly understood and it is unknown how the sequences of lncRNA dictate their function.
Here we characterize the function of the p53-regulated human lncRNA LINC-PINT in cancer. We find that LINC-PINT is downregulated in multiple types of cancer and acts as a tumor suppressor lncRNA by reducing the invasive phenotype of cancer cells. A cross-species analysis identifies a highly conserved sequence element in LINC-PINT that is essential for its function. This sequence mediates a specific interaction with PRC2, necessary for the LINC-PINT-dependent repression of a pro-invasion signature of genes regulated by the transcription factor EGR1.
Our findings support a conserved functional co-dependence between LINC-PINT and PRC2 and lead us to propose a new mechanism where the lncRNA regulates the availability of free PRC2 at the proximity of co-regulated genomic loci.
Over the last decades, researchers have dedicated great efforts to find the gene alterations that influence the development of cancer. For the most part, these investigations have solely focused on protein-coding genes, while the vast majority of the genome does not code for proteins and most of the mutations associated with disease lie within non-coding regions . Significantly, an important part of the non-coding genome is transcribed to produce non-coding RNAs, and a subset of them are long (>200 nt), capped, and polyadenylated transcripts transcribed by RNA polymerase II, collectively called long non-coding RNAs (lncRNAs) .
It is now clear that many lncRNAs can regulate genome function and gene expression [3, 4]. In agreement with this, others and we have observed that alterations in lncRNAs are inherent to cancer and impact several hallmarks of the disease (reviewed in [5,6,7,8]). The existence of thousands of lncRNAs taking part in cell regulatory networks has important implications for cancer, forcing us to revise our view of the disease, from its causative origins to treatments. However, still little is known of how lncRNAs contribute to the transformed phenotype of cancer cells. Since the nature of the sequences and the molecular interactions that confer functionality to lncRNAs remain poorly understood, one of the major challenges is to identify the sequence elements that allow lncRNAs to carry out their activities. A puzzling feature of lncRNAs is their relatively low conservation across species. In fact, many human lncRNAs are not present in other organisms, while others, although found in other species, have a limited degree of sequence conservation. These sequences probably contain elements necessary for their activity [9,10,11,12,13].
Among the variety of mechanisms reported, a number of lncRNAs have been proposed to regulate gene expression in coordination with the Polycomb Repressive Complex 2 (PRC2) [14,15,16]. PRC2 catalyzes the tri-methylation of histone H3 at lysine 27 (H3K27me3), a mark of silent chromatin, and while PRC2 is essential for development, its deregulation leads to cancer progression (reviewed by [17,18,19]). Multiple lncRNAs have been shown to interact with this chromatin complex, although the significance of these findings is currently under active debate [20,21,22].
Here we characterize the function of the human lncRNA LINC-PINT in cancer. We found that LINC-PINT acts as tumor suppressor lncRNA that inhibits the migration capacity of cancer cells by repressing an invasion gene signature in a PRC2-dependent manner. Moreover, we show that the functionality of LINC-PINT resides in a highly conserved sequence motif that mediates the interaction with PRC2. We propose that LINC-PINT may function as a DNA decoy that provides PRC2 to active gene promoters for their silencing, a mechanism that could be shared by other PRC2-interacting lncRNAs.
LINC-PINT is downregulated in multiple types of cancer
In a previous study, we identified and characterized Lincpint as a murine lncRNA induced by p53 that regulates cell proliferation . By inspecting the syntenic region of the human genome, we identified the human ortholog of Lincpint (FLJ43663, LINC-PINT) (Fig. 1a) and showed that it is also transcriptionally regulated by p53 . Indeed, it has been shown that the expression of LINC-PINT is reduced in tumors with mutations in TP53 . We also observed that the expression of LINC-PINT is decreased in tumor tissue when compared to normal tissue in independent cohorts of patients of colorectal cancer  (Fig. 1b and Additional file 1: Figure S1A). Moreover, the expression of LINC-PINT in colorectal cancer cell lines is further decreased when cells undergo several passages as tumor xenografts and acquire an aggressive phenotype  (Fig. 1c). In order to understand whether altered expression of LINC-PINT could be observed in other types of tumors, we quantified LINC-PINT expression in hundreds of normal and tumor samples from publicly available RNA-sequencing (RNA-seq) data (The Cancer Genome Atlas [TCGA], https://cancergenome.nih.gov/). This analysis showed that LINC-PINT is significantly decreased in several cancer types including breast, uterine corpus endometrial, and lung squamous cell carcinomas among others (Fig. 1d). In addition, the levels of LINC-PINT are lower in lung adenocarcinoma tumors of more advanced stage (Fig. 1e) and lower levels of the RNA are significantly associated with a diminished survival of patients (Fig. 1f), indicating an inverse correlation between the expression of LINC-PINT and the aggressiveness of the tumors.
Collectively, these observations show that the expression of LINC-PINT is inversely correlated with degree of malignancy and suggest that it could act as a tumor suppressor in different types of cancer.
LINC-PINT inhibits the migration and invasion of cancer cells in vitro and in vivo
To test whether the low expression of LINC-PINT favors the transformed phenotype, we investigated the effect of its gain or loss of function. First, we stably expressed the lncRNA in colorectal (HCT116) and lung (A549) adenocarcinoma cell lines, which otherwise express low levels of the lncRNA (Additional file 1: Figure S2A). To control for the cellular localization of the overexpressed LINC-PINT, we performed RNA-FISH, which showed the lncRNA localized into the nucleus with similar pattern to that of the endogenous lncRNA (Additional file 1: Figure S2B–D). When LINC-PINT overexpressing HCT116 and A549 cells were injected subcutaneously into two different types of immunocompromised mice (nude and BALB/c-Rag2/‐IL2cc), they presented a decreased ability to form tumors (Fig. 2a and Additional file 1: Figure S2E), indicating that LINC-PINT inhibits the aggressiveness of the tumor cells.
We further investigated the phenotype of the enforced expression of LINC-PINT in several cancer cell lines (colorectal HCT116 and DLD1 and lung adenocarcinoma A549, Additional file 1: Figure S2A). The expression of LINC-PINT in all of them produced a mild proliferation defect (Fig. 2b). However, the major observed phenotype was the strong impairment in cell migration and invasion capacity analyzed by wound healing (Fig. 2c) as well as matrigel (Fig. 2d) and collagen-coated transwell assays (Fig. 2e). Conversely, and consistently with the role of LINC-PINT as an inhibitor of cell invasion, the knockdown of LINC-PINT with two different antisense oligonucleotides (ASOs) resulted in an increase of the invasive capacity of the LINC-PINT cells (Fig. 2f).
We next tested whether LINC-PINT was also able to inhibit cell invasiveness in vivo, using a mouse model of liver metastasis . For this, we inoculated HCT116 cells overexpressing LINC-PINT or control cells into the portal circulation of mice through intrasplenic injection followed by splenectomy after 5 min and quantified the liver metastases in the mice four weeks post injection (Fig. 3a). While both control and LINC-PINT cells were able to metastasize to the liver, the number of macro- and micro-metastases was significantly decreased in LINC-PINT overexpressing cells (Fig. 3b–d). These results show that LINC-PINT not only inhibits the ability of cells to invade in vitro, but also reduces the engraftment potential of the cells in vivo.
A conserved RNA sequence element of LINC-PINT is required for inhibiting cell invasion
lLINC-PINT is not only found in humans, but it is present in other vertebrates with sequence-similar homologs throughout mammals and positionally conserved lncRNAs in birds (Additional file 1: Figure S3A). Moreover, we showed that the transcriptional regulation of LINC-PINT by p53 is conserved between mouse and human, suggesting the functional conservation of this lncRNA . Consistently with this idea, the enforced expression of murine Lincpint in human cells had similar effect as the human lncRNA, resulting in a significant decrease of cell invasion, a phenotype that could be rescued when the expression of the murine RNA was specifically inhibited with ASO transfection (Additional file 1: Figure S3B and S3C). We therefore reasoned that the activity of LINC-PINT was dependent on RNA sequences conserved between mouse and human. Indeed, a sequence comparative analysis between the murine and human transcripts showed high homology in the region between nucleotides 535 and 924 of human LINC-PINT (e-value 2.00E-74) (Fig. 4a). To test the functionality of this region of the lncRNA, we first generated a truncated form of LINC-PINT that lacks the conserved nucleotides and only contains the 516 nt 5′ of the lncRNA (lowly conserved region [LCR], Fig. 4b). When evaluated in the invasion assay, in contrast to the full-length (FL) LINC-PINT, the LCR had no effect in the invasion capacity or proliferation of HCT116 cells (Fig. 4b, c), although it was expressed at similar levels (Additional file 1: Figure S3D). We next investigated whether the region conserved between mouse and human was sufficient to mediate the function of the lncRNA in cell invasiveness. We therefore generated a mutant that only contains this region of LINC-PINT (highly conserved region [HCR], 389 nts, Fig. 4b). When stably expressed in cells, this conserved fragment of LINC-PINT (HCR) could reduce the invasiveness to a level even lower than that of the FL LINC-PINT (Fig. 4b, c, Additional file 1: Figure S3D), indicating that this fragment of LINC-PINT is sufficient for its activity in the context of invasion.
It has been proposed that the function of some lncRNAs is dependent on short sequence elements conserved across species . We hypothesized that such elements may be contained in the functional fragment that we identified in LINC-PINT. To be able to pinpoint the relevant sequences, we expanded the LINC-PINT cross-species analysis to 17 species of mammals (opossum included). The comparative analysis identified several short conserved elements inside the functional HCR of LINC-PINT (Fig. 4a). We then performed different deletions of these sequences generating ΔCE1 mutant, which lacks CE1, a 46-nt fragment with three short conserved motifs (Fig. 4a and b); ΔCE2, which lacks a more distant 8-nt motif; and ΔCE1-2, a 117-nt deletion that eliminates all of them (Fig. 4b). We then tested the effect of these mutants in HCT116 cells. The experiments revealed that the lack of CE1 (deletions ΔCE1 and ΔCE1-2) totally abolished the effect of LINC-PINT in invasiveness (Fig. 4d, Additional file 1: Figure S3E) and tumor formation (Additional file 1: Figure S3F). In contrast, the deletion of CE2 did not affect the ability of LINC-PINT to reduce cell invasiveness (Fig. 4d, Additional file 1: Figure S3E). These results suggest that the role of LINC-PINT is highly dependent on CE1 sequence.
To further confirm this observation and to avoid the ectopic expression of the lncRNA mutants, we used CRISPR-Cas9 genome editing to generate a homozygotic deletion of a 120-nt fragment of endogenous LINC-PINT (containing CE1 but not CE2) in HCT116 cells (Fig. 4e and Additional file 1: Figure S3G). Consistently with our previous findings, three out of four CE1-deficient clones showed increased invasiveness when compared to LINC-PINT wild type (WT) cells (as individual or pooled WT clones) (Fig. 4e). Moreover, the deletion of this sequence increased the capacity of the cells to form tumors in vivo (Additional file 1: Figure S3H). Altogether, these data demonstrate that the CE1 sequence is required for the inhibition of cell invasion mediated by LINC-PINT.
LINC-PINT suppresses the expression of an invasion signature
The gain of function of LINC-PINT has a strong impact on the invasive capacity of cancer cells. In order to determine the cellular pathways involved, we extracted total RNA from HCT116 overexpressing LINC-PINT and control cells and performed gene expression analyses by microarray. We found 533 genes differentially expressed (P value < 0.01), of which 233 were upregulated and 301 downregulated in LINC-PINT overexpressing cells compared to control cells (Additional file 2: Table S1). The gene set was found enriched in different biological functions, but among the most significant were cellular development, cellular movement, and cellular growth and proliferation (Fig. 5a and Additional file 3: Table S2). When the tumor cell adhesion network was analyzed in detail, we found several genes downregulated upon LINC-PINT overexpression related with cancer cell migration capacity, such as Early Growth Response 1 (EGR1), Phospholipase D1 (PLD1), Leukemia inhibitory factor (LIF), FBJ osteosarcoma oncogene (FOS), SERPINE1, Fibronectin1 (FN1), or Integrin alpha 3 (ITGA3) (Fig. 5b and Additional file 1: Figure S4A). These gene expression changes, which are consistent with the decreased proliferation and invasion capacity of the cells, were independently validated by qRT-PCR (Additional file 1: Figure S4B). Interestingly, the analysis performed by Ingenuity Pathway Analysis (IPA) (QIAGEN Inc., https://www.qiagenbioinformatics.com/products/ingenuity-pathway-analysis)  indicated that several of the genes regulated by LINC-PINT are functionally connected with beta-catenin (CTNNB1), a key factor in cell growth and adhesion  (Fig. 5c). Since the messenger RNA (mRNA) levels of beta-catenin were not altered and the protein function relies on its subcellular localization , we performed immunofluorescence to investigate beta-catenin localization in our cellular conditions. We observed that enforced expression of LINC-PINT induced a translocation of beta-catenin to the cytoplasmic membrane of the cells (Fig. 5d and Additional file 1: Figure S4C). Consistently, subcellular fractionation followed by western blot analysis showed lower levels of beta-catenin in the nuclear fraction of LINC-PINT overexpressing cells, concomitant with the reduction of mRNA and protein levels of the beta-catenin regulator EGR1 [31, 32] (Fig. 5e). In agreement with these observations, several of EGR1 direct target genes (ENDNOTE, Additional file 1: Figure S5A) appear downregulated (Additional file 1: Figure S5B), and the association of EGR1 to their promoters is decreased in LINC-PINT-overexpressing cells (Additional file 1: Figure S5C). Moreover, we found that the overexpression of EGR1 is able to rescue the loss of invasive phenotype caused by the enforced LINC-PINT expression (Fig. 5f). This indicates that the inhibition of EGR1 mediates, at least in part, the less invasive phenotype caused by LINC-PINT in colorectal and lung adenocarcinoma cells. Collectively our data show that LINC-PINT regulates the expression of genes that contribute to the ability of cancer cells to migrate, inducing the subcellular translocation of beta-catenin.
PRC2 mediates the LINC-PINT-dependent silencing of invasion genes
We set to investigate how LINC-PINT causes the downregulation of the pro-invasion gene signature. Interestingly, several of the genes of this signature are also downregulated when mouse Lincpint is expressed in human cells (Additional file 1: Figure S6A), suggesting that their inhibition is caused by a mechanism shared by the murine and the human form of the lncRNA. We had previously shown that the murine ortholog of LINC-PINT (lincPint) interacts with the PRC2 and it is required for the efficient targeting and repression of a subset of genes by this protein complex . In addition, an independent study had identified the human LINC-PINT as a nuclear lncRNA that interacts with PRC2 in human fibroblasts . We then confirmed that LINC-PINT and PRC2 interact in human cells of different origins, including normal and cancer cell lines, by detecting specific enrichment of LINC-PINT in PRC2 immunoprecipitates (Fig. 6a and Additional file 1: Figure S6B–D), as well as the reciprocal RNA pulldown experiments (Fig. 6b). Furthermore, LINC-PINT and PRC2 are likely direct interactors, since their endogenous association was detected using either ultraviolet (UV) or formaldehyde crosslinking followed by stringent washes (Additional file 1: Figure S6C and D), as well as when using purified PRC2 and LINC-PINT incubated in vitro (Additional file 1: Figure S6E). We therefore hypothesized that the activity of LINC-PINT may be, at least in part, related to PRC2. Indeed, several of the genes that compose the invasion signature inhibited by LINC-PINT (Fig. 5b) are marked with H3K27me3 in different cell types (Additional file 1: Figure S6F), indicating that they are potentially regulated by PRC2. We then investigated if the observed expression changes induced by LINC-PINT on these genes were mediated by PRC2. To test this, we inhibited the expression of PRC2 in LINC-PINT-overexpressing HCT116 cells by using an shRNA against EZH2, the catalytic subunit of the complex, and analyzed the expression of several of the genes by reverse transcription quantitative polymerase chain reaction (qRT-PCR). The expression levels of the majority of the genes analyzed (7/8) present in the invasion signature, were induced by PRC2 knockdown, suggesting that their silencing by LINC-PINT is PRC2-dependent (Fig. 6c). To further explore if PRC2 associates to these genes in a LINC-PINT-dependent manner, we performed chromatin immunoprecipitation (ChIP) in normal HCT116 and LINC-PINT HCT116 cells using an antibody for the PRC2 core subunit SUZ12. The ChIP-qPCR showed that the binding of SUZ12 to all of the promoters was significantly increased when LINC-PINT had elevated expression (Fig. 6d). Concomitant with the increased PRC2 occupancy, almost all the gene promoters analyzed (6/8) showed a significant increase in the levels of H3K27me3, the epigenetic modification catalyzed by PRC2 (Fig. 6e). In conclusion, these results suggest that LINC-PINT acts together with PRC2 to silence the expression of genes involved in cell invasion.
Next, to investigate what region of LINC-PINT is involved in the interaction with PRC2, we applied the RIP protocol after crosslinking with formaldehyde (fRIP) combined with RNA fractionation. Following fractionation and SUZ12 immunoprecipitation, the RNA fragments of LINC-PINT bound by PRC2 were detected by qRT-PCR with primers tiled along LINC-PINT sequence (Fig. 6f). Interestingly, we observed the highest enrichment with primers mapping at the CE1 region (Fig. 6f), suggesting that this portion of LINC-PINT mediates its interaction with PRC2. In agreement with our findings, the analysis of the CE1 sequence revealed several motifs that can potentially form G-quadruplex structures (Additional file 1: Figure S6F), recently shown to be preferentially bound by PRC2 . Moreover, two of the three short-conserved sequence motifs contained within CE1 (Fig. 4a) were also found highly enriched in EZH2 (P values = 1.35 × 10–34 and 2.9 × 10–26) and SUZ12 (P values = 3.41 × 10–44 and 3.6 × 10–34) fRIP-seq experiments preformed in K562 cells .
Finally, we further tested whether the ability of LINC-PINT to bind PRC2 in vitro was dependent on CE1 sequence. For this, we synthesized the different mutant forms of LINC-PINT (Fig. 4b), as well as the FL LINC-PINT and the antisense full length (AS-FL) as control. We then incubated equimolar amounts of each of the RNAs with purified PRC2 complex and performed RNA pull-downs. The results confirmed that the full length LINC-PINT and the HCR mutant bind PRC2 with the highest affinity despite HCR being the shortest of the RNA mutants tested (Fig. 6g). Moreover, while the deletion of CE2 had no effect, the deletion of CE1 resulted in decreased binding (Fig. 6g). These observations, together with the functional analysis of the mutant forms of LINC-PINT (Fig. 4), strongly support the notion that the interdependence between LINC-PINT and PRC2 relies on the conserved CE1 sequence. Collectively, these results show that LINC-PINT, which is downregulated in several types of cancer, included colorectal and lung cancer, contributes to the PRC2-dependent silencing of an invasion gene signature mediated by a sequence element conserved in mammals.
The capacity of migration of cancer cells is essential for the process of metastasis, in which the tumor spreads from the place where it first arose to distant locations in the body. Therefore, investigating the molecular mechanisms that regulate metastasis may provide helpful insights into the development of efficient diagnosis and therapeutic strategies. Here we show how LINC-PINT, which is kept at low levels in tumors, acts as an inhibitor of this major cancer hallmark. Notably, p53 is known to constrain the metastasic capacity of cancer cells  and LINC-PINT is transcriptionally regulated by p53 . Therefore LINC-PINT represents an additional effector of the broad tumor suppressor activities of p53. Although several other lncRNAs have been reported to promote cancer metastasis, such as the well-characterized MALAT1  and HOTAIR , less evidence exists of lncRNAs acting as inhibitors of this process . For instance, low expression of PTENP1 was related with decreased cell invasion and poor prognosis in several cancer types including melanoma  and head and neck squamous cell carcinomas . While PTENP1 acts post-transcriptionally competing with PTEN for the binding of inhibitory microRNAs , LINC-PINT is remarkably enriched in the nucleus of the cells. This is consistent with its involvement in the transcriptional modulation of several upstream regulators of the invasive phenotype of cancer cells.
We have shown that the murine lincpint presents several similarities with its human ortholog, such as the regulation by p53  and the ability to interact with PRC2. We thus used a cross-species conservation analysis combined with functional validations to be able to understand the mechanism of LINC-PINT function. Our data show that a truncated version of LINC-PINT (HCR) contains all the elements necessary to inhibit the migration of cancer cells. Moreover, we found a short sequence motif (CE1) that is highly conserved in mammals and required for LINC-PINT function. Interestingly, this motif is also required for the interaction of LINC-PINT with PRC2. Beyond our own experimental data, the preferential binding of PRC2 for CE1 sequence is supported by independent lines of evidence; for instance, the sequence motifs contained within CE1 are strongly enriched in fRIP-seq PRC2 data  and its sequence characteristics are consistent with recent findings that determine the affinity of PRC2 for G-rich and G-quadruplex forming RNA regions .
A model where individual lncRNAs act as guides for PRC2, conferring it with specificity for gene targets was proposed few years ago based on HOTAIR  and Xist  seminal works. Arguments against this model have been raised by studies showing the low specificity of the binding of PRC2 to RNA [21, 22], the mutually exclusive binding between PRC2 and RNA or chromatin [42, 43] or the inhibitory effect of RNA on PRC2 [42, 43]. Our study indicates that the function of LINC-PINT is dependent on a highly conserved sequence that specifically binds to PRC2 and that PRC2 is required for the silencing of gene targets leading to inhibition of cell invasion. Interestingly, LINC-PINT is not associated to the chromatin, but it is mainly present in the soluble fraction of the nucleus (Additional file 1: Figure S2D), which suggests that LINC-PINT interacts with chromatin-free PRC2. Furthermore, the genes co-repressed by LINC-PINT and PRC2 are transcriptional targets of EGR1 and the binding of EGR1 to their promotes decreases in conditions of LINC-PINT overexpression (Additional file 1: Figure S5A–C). This is in agreement with a previous report showing that the downregulation of EGR1 gene targets is accompanied with epigenetic silencing by PRC2, which prevents EGR1 re-association . Taking into account all these data, we propose a model where LINC-PINT could act as a DNA decoy providing PRC2 to the proximity of active promoters that are bound by the transcriptional activator EGR1. The transcriptional activator is released from the promoter, while PRC2 would be released from LINC-PINT to bind to the promoter for silencing. The silencing by PRC2 may be sufficient to avoid EGR1 re-association to the chromatin, although it is also possible that LINC-PINT itself acts as a specific EGR1 inhibitor. Future work will help to further delineate LINC-PINT mechanism and possibly other PRC2-interacting lncRNAs.
Our findings demonstrate the involvement of the downregulation of LINC-PINT in cancer progression and tumor malignancy. Moreover, they support a conserved functional co-dependence between LINC-PINT and PRC2 that counteracts gene activation by EGR1. It leads us to propose a new mechanism where the lncRNA regulates the availability of soluble PRC2 at the proximity of specific genomic regions, suggesting that the interplay between lncRNA and DNA binding proteins may be as relevant as protein–protein interactions in the regulation of gene expression.
RNA preparation and RT-qPCR
Total RNAs were extracted from tumors and adjacent normal tissues or cultured cells using Trizol reagent (Invitrogen) following the manufacturer’s protocol. RT and qPCR kits (Invitrogen) were used to evaluate the expression of LINC-PINT in tissue samples and cultured cells. RT-PCR was performed in quatriplicate and the relative expression of LINC-PINT was calculated using the comparative cycle threshold (CT) (2 − ΔΔCT) method with glyceraldehyde-3-phosphate dehydrogenase (GAPDH) or Hypocanthine Phosphoribosyltransferase (HPRT) as the endogenous control to normalize the data.
Vector construction and retrovirus infection
The cDNA of LINC-PINT sequence (BC130416) was subcloned into the pBABE-puro vector for retrovirus production. Then HCT116, A549, and DLD1 cells were infected and selected with 1.5 μg/mL of puromycin for 72 h.
Antisense oligo (ASO) transfection
To generate LINC-PINT knockdown HCT116 cells, two independent ASOs that target LINC-PINT or ASO control were synthesized by Ionis Pharmaceuticals®. ASOs where added to the medium for cell free uptake at final concentration of 625nM for HCT116-PINT cells and 5 mM for A549-PINT cells. ASO sequences are shown below.
Gene expression was determined from RNA-seq data available through the TCGA database (https://cancergenome.nih.gov/). The aligned reads were assigned and quantified using Cufflinks v2.2.1. LINC-PINT expression was compared in each cancer type between normal tissue samples and primary tumor samples. Statistical significance was determined by unpaired Student’s t-test.
RNA from tumors of patients with colorectal and lung adenocarcinoma were obtained from the Basque Biobank for Research-OEHUN and the Navarra University Hospital.
For gene expression profiling, total RNA was extracted and hybridized to Affymetrix Human Transcriptome Array 2.0. Background correction and normalization were done using RMA (Robust Multichip Average) algorithm  using Affymetrix Power Tools. After quality assessment, a filtering process was performed to eliminate low-expression probe sets. Applying the criterion of an expression value > 16 in two samples for each experimental condition, 41,697 probe sets were selected for statistical analysis. R and Bioconductor were used for preprocessing and statistical analysis. LIMMA (Linear Models for Microarray Data)  was used to find out the probe sets that showed significant differential expression between experimental conditions. Genes were selected as significant using a P value > 0.01. The biological knowledge extraction was complemented through the use of Ingenuity Pathway Analysis (QIAGEN Inc., https://www.qiagenbioinformatics.com/products/ingenuity-pathway-analysis).
RIP-Seq and sequence enrichment analysis
Formaldehyde RNA immunoprecipitation (fRIP-Seq) raw sequencing data of PRC2 complex proteins Ezh2 and Suz12 were downloaded from GEO database (GSE67963) . Sequencing reads were aligned to the human genome assembly hg19 using Bowtie v2.1.0  and genes were quantified using FeatureCounts v1.5.0 . In each dataset, the gene enrichment was calculated using R/Bioconductor package limma using voom  normalization. The occurrences of each of PINT functionally relevant sequences were determined among the transcripts of the enriched genes (B > 0, logFC > 0), and its significance was calculated by means of a hypergeometric test compared to the human transcriptome.
Cell proliferation assays
For proliferation analysis, 2000 cells were plated per well in 96-well plates and the CellTiter96 Aqueous Non-Radioactive Cell Proliferation Assay (MTS) kit (Promega®) was used. Cell viability was assessed every 24 h following the manufacturer’s protocol. All experiments were performed in triplicate.
Subcellular fractionation, a total of 107 cells were trypsinized and washed once with cold PBS, aliquoted into two tubes, and collected by centrifugation at 1000 g for 5 min at 4 °C. One cell pellet represented the whole-cell extract, while the other one was processed for the remaining subcellular fractions. Both pellets were resuspended in 500 μL of Buffer A (10 mM Tris-HCl, pH 7.5, 1.5 mM MgCl2, 140 mM NaCl, 0.05% IGEPAL supplemented with protease inhibitor cocktail and SuperaseIN 10 U ml−1), incubated for 10 min on ice, and kept for subsequent RNA extraction. A total of 500 μL of Buffer A plus sucrose (10 mM Tris-HCl, pH 7.5, 1.5 mM MgCl2, 140 mM NaCl 0.5% IGEPAL, 50% Sucrose) was added to the bottom of a clean Eppendorf tube and the upper phase (whole-cell extract resuspended in Buffer A) was gently added to this tube preventing the mix of the two phases and centrifuged for 10 min at 4 °C and 12,000 g to obtain nuclear and cytoplasmic fractions. Around 500 μL of the upper phase (cytoplasmic fraction) was collected and the rest was discarded, leaving the pellet (nuclear fraction). Total nuclear fraction was resuspended in 500 μL of Buffer B (10 mM Tris, 100 mM NaCl, 1 mM EGTA, 300 mM sucrose, 0.5 mM NaVO3, 50 mM NaF, 1 mM phenylmethylsulphonyl fluoride, 0.5% triton X-100, protease inhibitor cocktail, and SuperasIN) and incubated for 10 min on ice to permeabilize the cells. To separate nuclear soluble from nuclear insoluble fraction, the sample was centrifuged at 2000 g for 5 min at 4 °C and the supernantant (nuclear soluble fraction) and the pellet (nuclear insoluble/chromatin fraction) was collected. The nuclear insoluble fraction was resuspended in Buffer A and finally 1 mL of Trizol was added to all tubes for subsequent RNA extraction.
RNA FISH for LINC-PINT detection was performed using a pool of 48 fluorescent probes purchased from Stellaris Biosearch Technologies by following manufacturer’s protocol.
Crosslinking immunoprecipitation (CLIP)
The CLIP protocol was performed as previously described  with the following modifications: LINC-PINT overexpressing HCT116 cells were UV cross-linked (254 nm) with 4000 mJ/cm2. Lysates were prepared as previously indicated and sonication was used to fragment the RNA to 200–400 nt. RNA immunoprecipitation was performed for endogenous SUZ12 (Abcam cat# 12073) in LINC-PINT HCT116 cells.
Formaldehyde-crosslinked RNA immunoprecipitation (fRIP)
107 cells were crosslinked with 0.5% formaldehyde, and incubated with 0.125 M of glycine for 5 min to quench the formaldehyde and terminate the cross-linking reaction. Cells were resuspended in 2 mL PBS, 2 mL nuclear isolation buffer (1.28 M sucrose; 40 mM Tris-HCl pH 7.5; 20 mM MgCl2; 4% Triton X-100), and 6 mL water on ice for 20 min (with frequent mixing). Nuclei were pelleted by centrifugation at 2500 G for 15 min. The nuclear pellet was resuspended in 1 mL RIP buffer (150 mM KCl, 25 mM Tris pH 7.4, 5 mM EDTA, 0.5 mM DTT, 0.5% NP40, 9 ug/mL leupeptin, 9 ug/mL pepstatin, 10 ug/mL chymostatin, 3 ug/mL aprotinin, 1 mM PMSF, 100 U/mL SUPERASin; Ambion). Resuspended nuclei were split into two fractions of 500 μL each (for Mock and IP) and were mechanically sheared using a dounce homogenizer with 15–20 strokes. Nuclear membrane and debris were pelleted by centrifugation at 13,000 RPM for 10 min. Antibody to Suz12 (Abcam cat# 12073) and IgG as a negative control were incubated overnight at 4 °C with gentle rotation. A total of 50 μL of protein A/G magnetic beads were added and incubated for 2 h at 4 °C with gentle rotation. Beads were collected using a magnet, removing the supernatant, and beads were resuspended in 500 μL RIP buffer and repeated for a total of three RIP washes, followed by one wash in PBS. Beads were incubated for 45 min at 70 °C to reverse crosslinking. Beads were then resuspended in 0.5 mL of Trizol.
RNA pull-down was performed as previously described . Biotinylated RNA was incubated with nuclear extracts or recombinant PRC2 (Diagenode® cat# 31387) and streptavidin magnetic beads were used.
Chromatin immunoprecipitation (ChIP)-qPCR
Cells were crosslinked with 1% of formaldehyde diluted in PBS for 10 min at room temperature; cells were then incubated with 0.125 M of glycine for 5 min to quench the formaldehyde and terminate the cross-linking reaction. Cells were incubated with cell lysis buffer (5 mM Tris pH 8.0, 85mMKCl, 0.5% NP-40, supplemented with Roche protease inhibitor cocktail). Nuclear pellet was collected by centrifugation and resuspended in RIPA buffer (1 × PBS, 1% NP-40, 0.5% Na-deoxycholate, 0.1% SDS supplemented with Roche protease inhibitor cocktail), then the chromatin is sheared using a Diagenode bioruptor instrument with the following conditions: eight cycles 30″ON/30″OFF, 4 °C, which typically results in shear sizes for DNA between 0.5 kb and 0.2 kb. Sheared chromatin was incubated overnight with 3–6 ug of H3K27me3 ab (Abcam #6002), SUZ12 ab (Abcam#12073), EGR1 ab (Santa Cruz#110), or negative control IgG (Cell Signalling #2729). Then, chromatin was incubated with Dynabeads® (Invitrogen) for 2 h beads. After that beads were washed five times with LiCl wash buffer (100 mM Tris pH 7.5, 500 mM LiCl, 1% NP-40, 1% Na-deoxycholate) and 1x with TE (10 mM Tris pH 7.5, 0.1 mM Na2EDTA). The ChIPed DNA was eluted for 1 h at 65 °C in Elution buffer (1% SDS, 0.1 M NaHCO3), reverse X-linked, purified, and analyzed by qPCR.
1 × 106 LINC-PINT overexpressing HCT116 (LINC-PINT) and HCT116 transduced with an empty vector (CTRL) cells in an exponential growth phase were subcutaneously injected in the flanks of 6–7-week-old female BALB/c-Rag2/-IL2cc/immunodeficient mice (n = 6 per experimental condition) and female athymic nude mice (n = 6 per experimental condition). For the mouse xenograft experiment with A549 cell line, 5 × 106 cells were injected in BALB/c-Rag2/-IL2cc/immunodeficient mice (n = 6 per experimental condition). Injection specifications, 50 uL of cells with the amount of cells required for one mouse injection is mixed with the same amount of Matrigel®; 100 μL of the resultant mix is injected in each mouse. Tumor size was measured externally using a precision caliper and tumor volume (V) was calculated using the following equation: V = π/6 × width2 × length. The tumor growth was measured over 25 days every two days.
Liver metastases mice model
HCT116 CTRL and HCT116 LINC-PINT cells were grown to confluence and harvested as described above for subcutaneous injection and resuspended in PBS at a concentration of 5 × 106 cells/mL. BALB/c-Rag2/-IL2cc/immunodeficient mice (n = 6 per experimental condition) were anesthetized with isofluorane by inhalation and the spleen through a left flank incision. 2.5 × 105 cells in 50 μL were slowly injected into the spleen and as the needle is remove from the spleen, a sterile cotton swabs avoided that cells came out. After 5 min the spleen is disconnected from the body’s blood supply and it was removed by cauterization; the surgical openings were then closed using sutures. All animals were killed when the first mouse with an enlarged liver could be palpated (day 28). The liver was excised and fixed in 3.7–3.8% hydrous formaldehyde solution before H&E-stained section preparation. Each preparation was scanned on an Aperio Scan Scope AT. After that, the number of liver macrometastasis ≥ 2 mm and micrometastases on Aperio Image Scope (Leica Biosystems, Buffalo Grove, IL, USA) was quantified.
3 × 105 cells were plated on a 24-well culture plate (Corning Costar) in cell culture media containing 10% FBS and allowed to growth to confluence. Afterwards, cells were serum starved for 4 h and the monolayer was scratched using a pipette tip. The cell migration into wound area was monitored at 0 and 12 h after wounding, using a Leica DMIL LED inverted microscope (Leica Microsystems). The percentage of healed surface at each time point related to time cero was calculated using Fiji software. Data were normalized to the values obtained in CTRL cells at each time point. Three independent experiments were performed and 12 different fields per group were analyzed. Insets show representative bright-field images at 24 h post scratch; black lines highlight the initial (t = 0 h) and final (t = 12 h) wound edges.
Wound healing in vivo assay, cells were imaged every 5 min for 12 h and ten single-cell tracks are superimposed at the origin with the following variables: total distance of migration (μm) and percentage of sealing were quantified using Fiji software.
Transwell migration and invasion assay
105 HCT116 cells were plated onto the upper side of 8-μm pore-size transwell inserts (Corning) previously pre-coated with type I rat tail collagen. Cells were cultured in serum free media 4 h before allowing cell migration towards complete cell media at 37 °C for 14 h. Afterwards, cells were fixed in 4% formaldehyde for 15 min and the upper side of the insert was thoroughly wiped off with cotton swabs. The lower part of the insert was stained with 0.5% crystal violet. Images were captured using a Leica DMIL LED inverted microscope (Leica Microsystems), with a HI Plan 10X objective (N.A. 0.22) and equipped with a Leica EC3 digital camera. Three independent experiments were performed and at least 12 random fields were counted per experiment. Datasets were normalized and plotted against HCT116 control cells.
For invasion assay, Matrigel (BD) was diluted with PBS to a final concentration of 3 mg/mL and polymerized in transwell inserts (Corning) at 37 °C for at least 1 h. 105 cells were seeded directly onto the matrigel in 1% FBS medium. Transwell inserts were finally placed in medium supplemented with 10% FBS and cells were allowed to invade at 37 °C for 36 h. Invading cells were fixed and processed as described in transwell migration assay section. Three independent experiments were performed and at least 12 random fields were counted per experiment.
Immunofluorescence and confocal microscopy
A density of 5 × 104 HCT116 or A549 cells were seeded on eight-well Labteck (Nunc, Roskilde, Denmark) slides pre-coated with 1 mg mL−1 collagen (BD Bioscience, Madrid, Spain). Cells were fixed in Saccomanno’s cytology fixative and permeabilized by incubation with 0.5% Triton X-100 at room temperature for 5 min. Non-specific binding was blocked by incubation with 1/10 goat serum (Sigma–Aldrich) for 30 min at room temperature. Incubation with a specific anti-CTNNB1 (CST-9562) antibody and was carried out overnight. Samples were incubated 1 h at room temperature with secondary Alexa fluor 594 goat anti-rabbit IgG (Invitrogen) and DRAQ5TM for nuclear visulaization. For image acquisition, LSM 800 (Zeiss, Jena, Germany) inverted confocal microscope equipped with a 63x Plan-Apochromat objective (NA1.4 oil) was used. Images were acquired using the Zen 2.3 software. All images were captured and processed using Volocity Software (Perkin Elmer, Waltham, MA, USA). Images analyses were performed using ImageJ software (Bethesda, MD, USA).
Normally distributed data were analyzed using a Student’s t-test. Data with a non-parametric distribution were analyzed using the Kruskal–Wallis and Mann–Whitney U tests. Differences were considered significant at P < 0.05.
Generation of mutant clones with CRISPR-Cas9
Two sgRNAs were cloned separately into pX300 plasmids  and transfected together with a plasmid containing GFP in HCT116. GFP positive cells were sorted and raised individually in M96-plate wells. Positive clones were then identified by PCR using a pair of primers flanking the depleted region.
The primary data from the microarray analyses are available at the Gene Expression Omnibus (GSE98928) .
The list of oligonucleotides is in Additional file 1.
Clustered regularly interspaced short palindromic repeats
Enhancer of zeste homolog 2
Fluorescence in situ hybridization
Long intergenic non-coding-p53 induced non-coding transcript
Long non-coding RNA
Polycomb Repressive Complex 2
Quantitative reverse transcription polymerase chain reaction
Suppressor of zeste 12
Maurano MT, Humbert R, Rynes E, Thurman RE, Haugen E, Wang H, Reynolds AP, Sandstrom R, Qu H, Brody J, et al. Systematic localization of common disease-associated variation in regulatory DNA. Science. 2012;337:1190–5.
Djebali S, Davis CA, Merkel A, Dobin A, Lassmann T, Mortazavi A, Tanzer A, Lagarde J, Lin W, Schlesinger F, et al. Landscape of transcription in human cells. Nature. 2012;489:101–8.
Rinn JL, Chang HY. Genome regulation by long noncoding RNAs. Annu Rev Biochem. 2012;81:145–66.
Engreitz JM, Ollikainen N, Guttman M. Long non-coding RNAs: spatial amplifiers that control nuclear structure and gene expression. Nat Rev Mol Cell Biol. 2016;17:756–70.
Gutschner T, Diederichs S. The hallmarks of cancer: a long non-coding RNA point of view. RNA Biol. 2012;9:703–19.
Huarte M. The emerging role of lncRNAs in cancer. Nat Med. 2015;21:1253–61.
Pasut A, Matsumoto A, Clohessy JG, Pandolfi PP. The pleiotropic role of non-coding genes in development and cancer. Curr Opin Cell Biol. 2016;43:104–13.
Schmitt AM, Chang HY. Long Noncoding RNAs in Cancer Pathways. Cancer Cell. 2016;29:452–63.
Ulitsky I. Evolution to the rescue: using comparative genomics to understand long non-coding RNAs. Nat Rev Genet. 2016;17:601–14.
Chen J, Shishkin AA, Zhu X, Kadri S, Maza I, Guttman M, Hanna JH, Regev A, Garber M. Evolutionary analysis across mammals reveals distinct classes of long non-coding RNAs. Genome Biol. 2016;17:19.
Washietl S, Kellis M, Garber M. Evolutionary dynamics and tissue specificity of human long noncoding RNAs in six mammals. Genome Res. 2014;24:616–28.
Hezroni H, Koppstein D, Schwartz MG, Avrutin A, Bartel DP, Ulitsky I. Principles of long noncoding RNA evolution derived from direct comparison of transcriptomes in 17 species. Cell Rep. 2015;11:1110–22.
Necsulea A, Soumillon M, Warnefors M, Liechti A, Daish T, Zeller U, Baker JC, Grutzner F, Kaessmann H. The evolution of lncRNA repertoires and expression patterns in tetrapods. Nature. 2014;505:635–40.
Zhao J, Sun BK, Erwin JA, Song JJ, Lee JT. Polycomb proteins targeted by a short repeat RNA to the mouse X chromosome. Science. 2008;322:750–6.
Khalil AM, Guttman M, Huarte M, Garber M, Raj A, Rivea Morales D, Thomas K, Presser A, Bernstein BE, van Oudenaarden A, et al. Many human large intergenic noncoding RNAs associate with chromatin-modifying complexes and affect gene expression. Proc Natl Acad Sci U S A. 2009;106:11667–72.
Tsai MC, Manor O, Wan Y, Mosammaparast N, Wang JK, Lan F, Shi Y, Segal E, Chang HY. Long noncoding RNA as modular scaffold of histone modification complexes. Science. 2010;329:689–93.
Margueron R, Reinberg D. The Polycomb complex PRC2 and its mark in life. Nature. 2011;469:343–9.
Bracken AP, Helin K. Polycomb group proteins: navigators of lineage pathways led astray in cancer. Nat Rev Cancer. 2009;9:773–84.
Sauvageau M, Goff LA, Lodato S, Bonev B, Groff AF, Gerhardinger C, Sanchez-Gomez DB, Hacisuleyman E, Li E, Spence M, et al. Multiple knockout mouse models reveal lincRNAs are required for life and brain development. Elife (Cambridge). 2013;2:e01749.
Davidovich C, Cech TR. The recruitment of chromatin modifiers by long noncoding RNAs: lessons from PRC2. RNA. 2015;21:2007–22.
Davidovich C, Zheng L, Goodrich KJ, Cech TR. Promiscuous RNA binding by Polycomb repressive complex 2. Nat Struct Mol Biol. 2013;20:1250–7.
Wang X, Goodrich KJ, Gooding AR, Naeem H, Archer S, Paucek RD, Youmans DT, Cech TR, Davidovich C. Targeting of Polycomb Repressive Complex 2 to RNA by Short Repeats of Consecutive Guanines. Mol Cell. 2017;65:1056–67. e1055.
Marin-Bejar O, Marchese FP, Athie A, Sanchez Y, Gonzalez J, Segura V, Huang L, Moreno I, Navarro A, Monzo M, et al. Pint lincRNA connects the p53 pathway with epigenetic silencing by the Polycomb repressive complex 2. Genome Biol. 2013;14:R104.
Ashouri A & Sayin VI VdEJ, Singh SX, Papagiannakopoulos T and Larsson E: Pan-cancer transcriptomic analysis associates long non-coding RNAs with key mutational driver events. Nat Commun 2016.
Hollingshead MG, Stockwin LH, Alcoser SY, Newton DL, Orsburn BC, Bonomi CA, Borgel SD, Divelbiss R, Dougherty KM, Hager EJ, et al. Gene expression profiling of 49 human tumor xenografts from in vitro culture through multiple in vivo passages--strategies for data mining in support of therapeutic studies. BMC Genomics. 2014;15:393.
Warren RS, Yuan H, Matli MR, Gillett NA, Ferrara N. Regulation by vascular endothelial growth factor of human colon cancer tumorigenesis in a mouse model of experimental liver metastasis. J Clin Invest. 1995;95:1789–97.
Ulitsky I, Bartel DP. lincRNAs: genomics, evolution, and mechanisms. Cell. 2013;154:26–46.
Kramer A, Green J, Pollard Jr J, Tugendreich S. Causal analysis approaches in Ingenuity Pathway Analysis. Bioinformatics. 2014;30:523–30.
Valenta T, Hausmann G, Basler K. The many faces and functions of beta-catenin. EMBO J. 2012;31:2714–36.
MacDonald BT, Tamai K, He X. Wnt/beta-catenin signaling: components, mechanisms, and diseases. Dev Cell. 2009;17:9–26.
Saegusa M, Hashimura M, Kuwata T, Hamano M, Watanabe J, Kawaguchi M, Okayasu I. Transcription factor Egr1 acts as an upstream regulator of beta-catenin signalling through up-regulation of TCF4 and p300 expression during trans-differentiation of endometrial carcinoma cells. J Pathol. 2008;216:521–32.
Lu D, Han C, Wu T. Microsomal prostaglandin E synthase-1 promotes hepatocarcinogenesis through activation of a novel EGR1/beta-catenin signaling axis. Oncogene. 2012;31:842–57.
Hendrickson G, Kelley DR, Tenen D, Bernstein B, Rinn JL. Widespread RNA binding by chromatin-associated proteins. Genome Biol. 2016;17:28.
Powell E, Piwnica-Worms D, Piwnica-Worms H. Contribution of p53 to metastasis. Cancer Discov. 2014;4:405–14.
Gutschner T, Hammerle M, Eissmann M, Hsu J, Kim Y, Hung G, Revenko A, Arun G, Stentrup M, Gross M, et al. The Noncoding RNA MALAT1 Is a Critical Regulator of the Metastasis Phenotype of Lung Cancer Cells. Cancer Research. 2013;73:1180–9.
Gupta RA, Shah N, Wang KC, Kim J, Horlings HM, Wong DJ, Tsai MC, Hung T, Argani P, Rinn JL, et al. Long non-coding RNA HOTAIR reprograms chromatin state to promote cancer metastasis. Nature. 2010;464:1071–6.
Li J, Meng H, Bai Y, Wang K. Regulation of lncRNA and Its Role in Cancer Metastasis. Oncol Res. 2016;23:205–17.
Poliseno L, Haimovic A, Christos PJ, Vega YSMEC, Shapiro R, Pavlick A, Berman RS, Darvishian F, Osman I. Deletion of PTENP1 pseudogene in human melanoma. J Invest Dermatol. 2011;131:2497–500.
Liu J, Xing Y, Xu L, Chen W, Cao W, Zhang C. Decreased expression of pseudogene PTENP1 promotes malignant behaviours and is associated with the poor survival of patients with HNSCC. Sci Rep. 2017;7:41179.
Poliseno L, Salmena L, Zhang J, Carver B, Haveman WJ, Pandolfi PP. A coding-independent function of gene and pseudogene mRNAs regulates tumour biology. Nature. 2010;465:1033–8.
Rinn JL, Kertesz M, Wang JK, Squazzo SL, Xu X, Brugmann SA, Goodnough LH, Helms JA, Farnham PJ, Segal E, Chang HY. Functional demarcation of active and silent chromatin domains in human HOX loci by noncoding RNAs. Cell. 2007;129:1311–23.
Kaneko S, Son J, Bonasio R, Shen SS, Reinberg D. Nascent RNA interaction keeps PRC2 activity poised and in check. Genes Dev. 2014;28:1983–8.
Beltran M, Yates CM, Skalska L, Dawson M, Reis FP, Viiri K, Fisher CL, Sibley CR, Foster BM, Bartke T, et al. The interaction of PRC2 with RNA or chromatin is mutually antagonistic. Genome Res. 2016;26:896–907.
Spaapen F, van den Akker GG, Caron MM, Prickaerts P, Rofel C, Dahlmans VE, Surtel DA, Paulis Y, Schweizer F, Welting TJ, et al. The immediate early gene product EGR1 and polycomb group proteins interact in epigenetic programming during chondrogenesis. PLoS One. 2013;8:e58083.
Irizarry RA, Bolstad BM, Collin F, Cope LM, Hobbs B, Speed TP. Summaries of Affymetrix GeneChip probe level data. Nucleic Acids Res. 2003;31:e15.
Smyth GK. Linear models and empirical bayes methods for assessing differential expression in microarray experiments. Stat Appl Genet Mol Biol. 2004;3:Article3.
Langmead B, Salzberg SL. Fast gapped-read alignment with Bowtie 2. Nat Methods. 2012;9:357–9.
Liao Y, Smyth GK, Shi W. featureCounts: an efficient general purpose program for assigning sequence reads to genomic features. Bioinformatics. 2014;30:923–30.
Law CW, Chen Y, Shi W, Smyth GK. voom: Precision weights unlock linear model analysis tools for RNA-seq read counts. Genome Biol. 2014;15:R29.
Zhang C, Darnell RB. Mapping in vivo protein-RNA interactions at single-nucleotide resolution from HITS-CLIP data. Nat Biotechnol. 2011;29:607–14.
Marin-Bejar O, Huarte M. RNA pulldown protocol for in vitro detection and identification of RNA-associated proteins. Methods Mol Biol. 2015;1206:87–95.
Cong L, Ran FA, Cox D, Lin S, Barretto R, Habib N, Hsu PD, Wu X, Jiang W, Marraffini LA, Zhang F. Multiplex genome engineering using CRISPR/Cas systems. Science. 2013;339:819–23.
Marín-Béjar O, Mas AM, González J, Martínez-Herrera DJ, Morales X, Galduroz M, Athie A, Raimondi I, Grossi E, Rouzaut A, Ulitsky I, Huarte M. The human lncRNA LINC-PINT inhibits tumor cell migration through a highly conserved sequence element. GEO. https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE98928/
We thank the ENCODE project, the Cancer Genome Atlas and the Gene Expression Omnibus (GEO) databases for providing their platforms and contributors for their valuable datasets.
This work has been supported by European Research Council StG 281877 and the Spanish Ministry of Science Grants BFU2014-58027-R and RYC-2011-08347. OM is currently supported by 12T1217N project by the Research Foundation – Flanders (FWO) and the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement no. 665501.
This work has been approved by the Research Ethics Committee (CEI) of Navarra University.
None of the authors have any competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
LINC-PINT is downregulated in colon and lung adenocarcinoma. Figure S2. LINC-PINT is localized in cell nucleus and LINC-PINT overexpression in HCT116 decreases tumor formation in vivo. Figure S3. A highly conserved short region of LINC-PINT is required for its function. Figure S4. LINC-PINT inhibits a pro-invasion gene signature. Figure S5. LINC-PINT inhibits the expression of EGR1 transcriptional target genes. Figure S6. PRC2 mediates the LINC-PINT-dependent silencing of pro-invasion genes. List of oligonucleotides (PDF 4621 kb)
shows the genes affected upon LINC-PINT overexpression. (XLSX 81 kb)
shows the biofunctions associated to genes affected upon LINC-PINT overexpression. (XLSX 109 kb)
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Marín-Béjar, O., Mas, A.M., González, J. et al. The human lncRNA LINC-PINT inhibits tumor cell invasion through a highly conserved sequence element. Genome Biol 18, 202 (2017). https://doi.org/10.1186/s13059-017-1331-y
- Cell invasion
- Epigenetic regulation