Literature DB >> 26853707

MicroRNAs activate gene transcription epigenetically as an enhancer trigger.

Min Xiao1,2,3, Jin Li1,2,3, Wei Li1,2,3, Yu Wang1,2, Feizhen Wu4, Yanping Xi1,2, Lan Zhang1,2, Chao Ding1,5, Huaibing Luo1,2, Yan Li1,2, Lina Peng1,2, Liping Zhao1,2, Shaoliang Peng6, Yao Xiao1,2, Shihua Dong1,2, Jie Cao5, Wenqiang Yu1,2,3.   

Abstract

MicroRNAs (miRNAs) are small non-coding RNAs that function as negative gene expression regulators. Emerging evidence shows that, except for function in the cytoplasm, miRNAs are also present in the nucleus. However, the functional significance of nuclear miRNAs remains largely undetermined. By screening miRNA database, we have identified a subset of miRNA that functions as enhancer regulators. Here, we found a set of miRNAs show gene-activation function. We focused on miR-24-1 and found that this miRNA unconventionally activates gene transcription by targeting enhancers. Consistently, the activation was completely abolished when the enhancer sequence was deleted by TALEN. Furthermore, we found that miR-24-1 activates enhancer RNA (eRNA) expression, alters histone modification, and increases the enrichment of p300 and RNA Pol II at the enhancer locus. Our results demonstrate a novel mechanism of miRNA as an enhancer trigger.

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Keywords:  Chromatin modification; enhancer; miR-24; microRNA; nucleus; transcriptional activation

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Year:  2016        PMID: 26853707      PMCID: PMC5711461          DOI: 10.1080/15476286.2015.1112487

Source DB:  PubMed          Journal:  RNA Biol        ISSN: 1547-6286            Impact factor:   4.652


Introduction

MicroRNAs (miRNAs) are small non-coding RNAs (ncRNAs) that primarily function through the destabilization or translational repression by targeting the 3′ untranslated region (3′UTR) of mRNA transcripts in the cytoplasm. However, a number of recent studies indicate that miRNAs have also been implicated to positively-regulate gene transcription by targeting promoter elements, a phenomenon known as RNA activation (RNAa). With the exception of altering chromatin states, the other fundamental intermediate steps that permits miRNA transcriptional activation is still a mystery. Thus, due to much uncertainty surrounding the intrinsic mechanisms of positive miRNA regulation, this unconventional yet biologically significant function by miRNAs is generally unappreciated. Enhancers are traditionally known as cis-acting DNA elements that can increase gene transcription. It is well established that precise regulation of gene expression in specific tissue and cell type is inseparably linked with enhancers. Hence, enhancers are able to enable their genomic function to determine exactly when, where and at what levels is each gene is expressed to adapt to specific physiological, pathological or environmental conditions. For instance, the super enhancer, a particular group of enhancers, is newly recognized to be essential for maintaining cell identity and the network of cell function. Furthermore, markers for enhancers include binding of p300, histone H3K27 acetylation/H3K4 monomethylation, overlapped with DNase I hypersensitive sites and enhancer RNAs (eRNAs) expression. Primary research showed that eRNAs were strong indicators of enhancer activity, but recent evidence suggests eRNAs directly contributing to enhancer functions. In fact, it is not only eRNA, but also enhancer-like long non-coding RNA (lncRNA) and the DNMT1 interacting ncRNA, play a crucial role in gene activation. However, unlike the lncRNA, miRNA has limited anecdotal evidence for contributing to enhancer induced gene activation currently. Knowingly, miRNA is identified as a negative regulating ncRNA that functions in the cytoplasm. Yet unexpectedly, small RNA deep sequencing shows that some miRNAs are also overwhelmingly present in the nucleus, and certain evidence indicates that some miRNAs exert biological function in the nucleus. Besides, emerging data suggests that miRNA and protein-coding genes undergoes coordinated expression through their chromosomal loci interactions. Recently, analysis of a large number of breast cancer samples has indicated that to some extent, miRNAs and their neighboring genes may have a positive correlative expression. Thus, these results drive us to explore whether miRNAs also function as positive regulators in gene expression. In this study, miRNAs overexpression in HEK293T revealed their positive influence on the neighboring protein-coding genes. Furthermore, detailed analysis of miR-24-1 demonstrates that miR-24-1 can also function as an enhancer trigger by modifying chromatin status that are favorable for transcriptional gene activation. Thus, we anticipate that miRNA mediated transcriptional gene activation may represent a novel mechanism of miRNAs.

Results

Characterization of miRNAs in enhancer loci from human annotated miRBase

We compared the 1594 annotated human miRNA precursor loci and the regions with enrichment of the active enhancer marker H3K27ac among commonly used cell types, a total of 303 miRNAs loci were identified within the peaks of H3K27ac modification (Fig. 1A and Table S1). These above selected miRNAs are significantly differential conserved in sequence (p < 0.0001) (Fig. S1A). We then took one of the cell lines as examples, and found that the enrichment of H3K4me1, p300/CBP, and DNase-I-hypersensitive sites on miRNAs loci, all exhibited a similar pattern to H3K27ac (Fig. 1B and Fig. S1E), these evidence showed that these miRNAs are related to the enhancer. Interestingly, when we integrated miRNAs expression (Fig. 1B, line 7), protein-coding gene expression (Fig. 1B, line 8), and histone modification (Fig. 1B, line 1–4), we found that our collection of H3K27ac-enriched miRNA tend to be present in the nuclear subcompartment (p = 2.533 × 10−10, one-side Wilcoxon rank sum test) (Fig. 1B, Fig. S1B, C); in addition, we also found that there is a positive correlation between expression of nuclear miRNAs and their neighboring genes (p < 2.2 × 10−16, one-sided Wilcoxon rank-sum test) (Fig. 1B, Fig. S1C, D).
Figure 1.

Classification and characterization of enhancer-associated miRNAs. (A) Classification of enhancer-associated miRNAs based on H3K27ac enrichment of miRNA loci across 7 cell lines. miRNAs are organized by the different cell types, starting with the H3K27ac-enriched among all 7 cell types at the top and proceeding down to specifically enriched in one cell type. Each column represents a different cell type and each row shows relative H3K27ac enrichment at one miRNA genomic locus, with signal around ±5 kb region plotted. (B) Relationship between miRNA expression, enhancer activity and transcription of neighboring genes in GM12878 (UCSC). miRNAs are ranked from high to low based on H3K27ac density. The left 4 columns depict the patterns of enhancer markers within ±5 kb of miRNA loci. The right 4 columns are the transcription level of miRNAs in different cellular compartments and the neighboring genes. Correlation coefficiency between H3K27ac and others are shown in Fig. S1E. Color bars at the bottom indicate the range for each depth-normalized data set. See also Fig. S1.

Classification and characterization of enhancer-associated miRNAs. (A) Classification of enhancer-associated miRNAs based on H3K27ac enrichment of miRNA loci across 7 cell lines. miRNAs are organized by the different cell types, starting with the H3K27ac-enriched among all 7 cell types at the top and proceeding down to specifically enriched in one cell type. Each column represents a different cell type and each row shows relative H3K27ac enrichment at one miRNA genomic locus, with signal around ±5 kb region plotted. (B) Relationship between miRNA expression, enhancer activity and transcription of neighboring genes in GM12878 (UCSC). miRNAs are ranked from high to low based on H3K27ac density. The left 4 columns depict the patterns of enhancer markers within ±5 kb of miRNA loci. The right 4 columns are the transcription level of miRNAs in different cellular compartments and the neighboring genes. Correlation coefficiency between H3K27ac and others are shown in Fig. S1E. Color bars at the bottom indicate the range for each depth-normalized data set. See also Fig. S1.

MicroRNAs in enhancer loci display a transcriptional activator function

We reasoned that similar to miRNAs function at the promoter loci, our collection of miRNAs may act to regulate their neighboring genes. To test this hypothesis, we initially chose to investigate the well studied miR-26a-1, which is surrounded by protein-coding genes ITGA9, CTDSPL, VILL and PLCD1 in a 400kb window (Fig. 2A, upper panel) and the miR-26a-1 gene derived DNA region was experimentally validated its enhancer activity by luciferase (Fig. S2A). We then constructed a miR-26a-1 plasmid and obtained a reproducible ectopic high-level expression of miRNA. Contrary to the repressive action of miRNA in the cytoplasm, overexpression of miR-26a-1 in HEK293T cells resulted in a concurrent increase in the transcription of neighboring ITGA9 and VILL genes (Fig. 2A, upper panel). To further confirm the activation potential of our miRNAs, we next investigated miR-339 (Fig. S2A), and found its expression also activated the neighboring gene GPER by 4-fold (Fig. 2A, lower panel).
Figure 2.

Enhancer associated miRNA mediates transcriptional gene activation. (A) miR-26a-1 (upper panel), miR-339 (lower panel) up-regulate their respective neighboring genes expression. (B) UCSC genome browser: miR-3179-2 and miR-3180-2 accompanied by the same neighboring genes sit in the peak and valley of H3K4me1/H3K27ac derived from 7 cell lines in ENCODE UCSC, respectively (upper panel). Overexpression of these two miRNAs, the neighboring gene transcripts are quantified by qPCR (lower panel). (C) Western blot analysis of FBP1 and FANCC levels. (D) miRNA mimic up-regulates the neighbor genes expression. (E) Depletion of miR-24-3p using antagomir reduced its neighboring genes mRNA expression. All values are normalized to GAPDH and error bars show mean ± SEM for 3 biological replicates. *P < 0.05, **P < 0.01, ***P < 0.001 by 2-tailed student's t-test. See also Fig. S2.

Enhancer associated miRNA mediates transcriptional gene activation. (A) miR-26a-1 (upper panel), miR-339 (lower panel) up-regulate their respective neighboring genes expression. (B) UCSC genome browser: miR-3179-2 and miR-3180-2 accompanied by the same neighboring genes sit in the peak and valley of H3K4me1/H3K27ac derived from 7 cell lines in ENCODE UCSC, respectively (upper panel). Overexpression of these two miRNAs, the neighboring gene transcripts are quantified by qPCR (lower panel). (C) Western blot analysis of FBP1 and FANCC levels. (D) miRNA mimic up-regulates the neighbor genes expression. (E) Depletion of miR-24-3p using antagomir reduced its neighboring genes mRNA expression. All values are normalized to GAPDH and error bars show mean ± SEM for 3 biological replicates. *P < 0.05, **P < 0.01, ***P < 0.001 by 2-tailed student's t-test. See also Fig. S2. Next we analyzed miR-3179 and miR-3180, two miRNAs with obviously different enrichment levels of H3K27ac. These two miRNAs are located at the same intergenic region between NOMO and PKD1P1 gene on chromosome 16, which are ideal pairs of miRNA to investigate regulatory capacity by simultaneously detecting the expression of both neighboring genes (Fig. 2B, upper panel). Firstly, we confirmed that the DNA fragments harboring miR-3179 possess enhancer activity in luciferase reporter assays (bar 4) (Fig. S2A), while miR-3180 itself does not possess any enhancer activating capacity (bar 3) (Fig. S2A), indicating that the H3K27ac enrichment is a reliable marker for potential enhancer elements. Secondly, upon transient transfection of miR-3179 into HEK293T cells, we found that the neighboring genes ABCC6 and PKD1P1 were up-regulated by 3-fold and 5-fold, respectively (Fig. 2B, lower panel, left). In contrast, miR-3180 did not activate either local gene (Fig. 2B, lower panel, right), implying that miRNA associated with enhancer features may be a prerequisite for enhancer-associated miRNA function. To further investigate the function of those miRNAs, we focused on miR-24-1 and miR-24-2. Coincidentally, the mature sequences of them are identical, yet their pre-miRNAs are respectively derived from chromosome 9 and chromosome 19 with different neighboring genes (Fig. S2B, C, upper panels). As predicted, miR-24-1 and miR-24-2 precursors can indeed simultaneously activate their neighboring genes from both loci (Fig. S2B–E). In addition, in these experiments, a nuclear fraction with high purity was isolated from HEK293T cells (Fig. S2H) and Northern blotting showed that mature miR-24 can be detected both in cytoplasm and nucleus in the pre-miR-24 overexpressed HEK293T cells (Fig. S2I). As shown in Fig. S2J-O, pre-miRNA transfection can not only increase the miRNAs expression in the cytoplasm but also increase the expression in the nucleus. Next, we decided to choose miR-24-1 as an example to do further research, and firstly we observed that the protein levels of miR-24-1s neighboring genes, FBP1 and FANCC, consequently increased as well (Fig. 2C). Meanwhile, as expected, genes whose 3′UTRs are targeted by miR-24-1 in the cytoplasm showed a down-regulation pattern (Fig. S2F), implying that this miRNA can also function as a canonical miRNA in the cytoplasm. To validate that mature miRNA participated in triggering activation, we conducted transfection of miR-24 mimics and found that mature miRNA can elevate its respective neighboring gene's mRNA level like precursor miRNAs, as did the miR-3179 mimics (Fig. 2D and Fig. S2G). To further evaluate the miRNA function in vivo, we used the antisense oligonucleotide (antagomiR) to exclusively and effectively knock down the endogenous mature miR-24. As shown in Fig. 2E, qPCR revealed that miR-24 antagomiRs led to significant mRNA reduction of FBP1 and FANCC in HEK293T cells.

miR-24-1 facilitated gene transcription dependent on the presence of the intact enhancer and miRNA

To explore the importance of base-pairing rule for miRNA targeting to enhancer, we either deleted or mutated the seed region of miR-24-1 (Fig. 3A) and found that both the deletion and mutations abolished miRNA-induced transcriptional activation (Fig. 3B).
Figure 3.

miRNA mediated transcriptional gene activation requires the intact miRNA and its targeted enhancer. (A) Sequences of miR-24-1 and its mutants. (B) Analysis of HEK293T transfected with wild-type and mutant miR-24-1 by real-time RT-qPCR. GFP is used to normalize the transfection efficiency. (C) Schematic representation of the TALEN constructs targeting to the miRNA site in the enhancer locus (red, ChIP-seq track). TALENs were designed for pairwise heterodimeric binding to indicated target sequences (blue box) and the sketch map shows the reference sequence and miR-24-1 deletion#1 sequence. (D-E) miR-24-1 deletion#1 abolished neighboring gene activation. Different expression level of miR-24-1 did not up-regulate FBP1 expression in miR-24-1 deletion#1. The trigon represents the miRNA expression level from low to high. All values are normalized to GAPDH and error bars show mean ± SEM for 3 technical replicates. *P < 0.05, **P < 0.01, ***P < 0.001 by 2-tailed student's t-test. See also Fig. S3.

miRNA mediated transcriptional gene activation requires the intact miRNA and its targeted enhancer. (A) Sequences of miR-24-1 and its mutants. (B) Analysis of HEK293T transfected with wild-type and mutant miR-24-1 by real-time RT-qPCR. GFP is used to normalize the transfection efficiency. (C) Schematic representation of the TALEN constructs targeting to the miRNA site in the enhancer locus (red, ChIP-seq track). TALENs were designed for pairwise heterodimeric binding to indicated target sequences (blue box) and the sketch map shows the reference sequence and miR-24-1 deletion#1 sequence. (D-E) miR-24-1 deletion#1 abolished neighboring gene activation. Different expression level of miR-24-1 did not up-regulate FBP1 expression in miR-24-1 deletion#1. The trigon represents the miRNA expression level from low to high. All values are normalized to GAPDH and error bars show mean ± SEM for 3 technical replicates. *P < 0.05, **P < 0.01, ***P < 0.001 by 2-tailed student's t-test. See also Fig. S3. It is important to explore whether the miRNA targeted enhancer genome locus is essential for activating gene expression. We then undertook a TALE nuclease genome-editing approach to delete the miR-24-1 enhancer locus in the HEK293T cell line (Fig. 3C and Fig. S3A, B). Specific primers designed around the mutation sites allowed detection of the allelic mutable editing events (Table S3). Two clones (miR-24-1 deletion1# and deletion2#) were identified in the miR-24-1 enhancer locus (Fig. 3C, and Fig. S3C, D), in which the enhancer region were disrupted and the miRNA expression was significantly reduced (Fig. S3E). In these 2 TALEN-deletion cell strains, miR-24-1 neighboring genes were not able to be activated any further (Fig. 3D, E), even by high levels of miR-24-1 ectopic overexpression (Fig. S3E, F), whereas the expression level of the neighboring gene of miR-24-2, which was the homologous originating locus of miR-24-1 mentioned before, was upregulated (Fig. S3G). The above results indicate that the transcriptional activation of miR-24-1 neighboring genes is dependent on the presence of the intact enhancer.

miR-24-1 functions through increased endogenous miRNA expression, chromatin state alteration of the enhancer

To explore the underlying mechanism by which our miRNA modulates the activity of the enhancer, we first ascertained that miR-24-1 can in fact enter the nucleus by observing the nuclear translocation of Cy5 labeled miR-24-1 (Fig. S4A, B). In order to determine whether endogenous miRNA is involved in miRNA function, we quantified the endogenous miRNA after ectopic expression of miR-24-1. To this end, we transfected the miR-24-1 mimics and then specifically detected endogenous miR-24-1 precursor expression (Fig. 4A, upper panel). Surprisingly, we found that the exogenous miRNA can increase endogenous miR-24 expression in the activated enhancer region (Fig. 4A, lower panel).
Figure 4.

Epigenetic events involved in miRNAs' transcriptional activation. (A) miRNA mimic (green lines) increases the endogenous miRNA expression (red rectangle, mature miRNA; blue rectangle, pre-miRNA). Arrows indicate primer locations for qPCR analysis of endogenous miRNA. (B) Depletion of AGO2 blocks transcriptional activation of neighboring genes. (C) Pol II, p300 and H3K27ac ChIP assays on the miR-24-1 locus. (D) The schematic diagram (upper panel) represents the position of eRNA primers. qPCR data from the lower panel shows that eRNAs are produced from the miR-24-1 locus upon miRNA overexpression. Fig. A-D, data shown are mean ± SEM from 3 independent transfections. **P < 0.01, ***P < 0.001 by 2-tailed Student's t-test. (E) The occupancy pattern of chromatin status of miR-24-1 enhancer locus by NOMe-seq. Nuclei were extracted from HEK293T cells and treated with M.CviPI GpC methyltransferase and subjected to bisulfite conversion and cloning. Circles represent GpC dinucleotides (Blue: the reference GpC sites; Gray: occupied, unmethylated and inaccessible to M.CviPI; Orange: unoccupied, methylated and accessible to M.CviPI). Horizontal lines represent randomly selected clones. Y-axis indicates the clone number and X-axis marks the sequence length of DNA. The changed occupancy in the enhancer and promoter region is around 70bp, unable to accommodate a singular nucleosome, hinting that those regions may be occupied by regulation factors. Both regions gained occupancy by miR-24-1 overexpression as compared with the control.

Epigenetic events involved in miRNAs' transcriptional activation. (A) miRNA mimic (green lines) increases the endogenous miRNA expression (red rectangle, mature miRNA; blue rectangle, pre-miRNA). Arrows indicate primer locations for qPCR analysis of endogenous miRNA. (B) Depletion of AGO2 blocks transcriptional activation of neighboring genes. (C) Pol II, p300 and H3K27ac ChIP assays on the miR-24-1 locus. (D) The schematic diagram (upper panel) represents the position of eRNA primers. qPCR data from the lower panel shows that eRNAs are produced from the miR-24-1 locus upon miRNA overexpression. Fig. A-D, data shown are mean ± SEM from 3 independent transfections. **P < 0.01, ***P < 0.001 by 2-tailed Student's t-test. (E) The occupancy pattern of chromatin status of miR-24-1 enhancer locus by NOMe-seq. Nuclei were extracted from HEK293T cells and treated with M.CviPI GpC methyltransferase and subjected to bisulfite conversion and cloning. Circles represent GpC dinucleotides (Blue: the reference GpC sites; Gray: occupied, unmethylated and inaccessible to M.CviPI; Orange: unoccupied, methylated and accessible to M.CviPI). Horizontal lines represent randomly selected clones. Y-axis indicates the clone number and X-axis marks the sequence length of DNA. The changed occupancy in the enhancer and promoter region is around 70bp, unable to accommodate a singular nucleosome, hinting that those regions may be occupied by regulation factors. Both regions gained occupancy by miR-24-1 overexpression as compared with the control. Growing evidence suggests that AGO2 can also exist and functions in the nucleus. To inquire whether AGO2 is involved in our miRNA function, pre-hsa-mir-24-1 was transfected, and then AGO2 was knocked down. As shown in Fig. 4B, the expression levels of miR-24-1 neighboring genes were significantly decreased in cells transfected with AGO2 shRNA (Fig. S4C, D). This observation implies that AGO2 is important for miR-24 activity. It is known that enhancer activation is associated with the initiation of RNA polymerase II (RNAPII) transcription, producing functional transcripts from the enhancer. As shown in Fig. 4C (left panel), RNAPII was enriched in the miR-24-1 enhancer region. Furthermore, we can detect increased eRNA transcripts from the active enhancers provoked by the exogenous expression of miR-24-1, miR-26a-1, miR-339, or miR-3179, respectively (Fig. 4D and Fig. S4E-G). Consistently, in response to miR-24-1 overexpression, ChIP-qPCR showed that the AGO2 and p300/CBP binding was enriched (Fig. 4C, middle panel, Fig. S4H, left panel). Meanwhile, the active enhancer marker H3K27ac was increased and the repressive marker H3K9me3 was depleted (Fig. 4C, right panel, and Fig. S4H, middle panel), while the poised enhancer marker H3K4me1 also exhibited a slight increase (Fig. S4H, right panel). Taking advantage of NOMe-Seq, which can monitor in vivo protein occupancy on the DNA sequence, we found significant changes of protein occupancy in the miR-24-1 enhancer locus and promoter region of FBP1 (Fig. 4E, Fig. S4I-K). These results suggest that miR-24-1 overexpression can adjust the chromatin occupancy of the enhancer locus and its corresponding gene promoter. Overall, our data demonstrate that miRNA overexpression leads to an increased endogenous miR-24 expression and direct chromatin state alteration of the enhancer, which are all involved in gene activation (Fig. S4L).

miR-24-1 promotes global gene transcription through the binding and activating of its targeted enhancers

miRNA as a small molecule can target the 3′UTR of many genes. As miR-24-1 and miR-24-2 can activate each of their neighboring genes, we wondered whether miRNA may also be able to activate global gene expression. From microarray data, we noticed that miR-24-1 ectopic expression could increase as well as decrease gene expression (Fig. 5A and Fig. S5A). Bioinformatics analysis by miRanda showed that down-regulated genes caused by miR-24-1 overexpression has more potential binding sites in their 3′UTR (Fig. S5B), suggesting that miRNAs generally function in the cytoplasm. Meanwhile, we propose that some miRNAs may activate gene expression through the enhancer-associated miRNA mechanism. To further investigate whether there are some genes activation caused by miR-24-1, we performed ChIP-seq assay of active enhancer markers H3K27ac and identified a prominent enrichment of H3K27ac in 3282 enhancer regions responding to miR-24-1 overexpression. In addition, a motif similar to the seed sequence of miR-24-3p was found in the elevated H3K27ac enhancer region (Fig. S5C), where a statistically significant high frequency of DNA sequence that perfectly matches the miR-24-1 seed sequence was also discovered (Fig. S5D). Importantly, miR-24-1 targets predicted by the miRanda algorithm were significantly more prevalent in the activated enhancer regions than randomly selected sequences (Fig. 5B). Moreover, the up-regulated genes revealed by microarray assay tend to flank the activated enhancers (Fig. 5C), and taking one as an example, we can see that in the KDM6B gene locus, the enrichment of enhancer related markers changed accordingly (Fig. 5D). Thus, we speculate that miR-24-1 can bind to loci beyond their original sequence and activate genes transcription, which is additionally supported by the findings that the long-range target genes DUSP16 and ENO3 mRNA levels were activated by miR-24-1 (Fig. S5E-G), but conversely decreased in miR-24-1 antagomiR transfection (Fig. S5H). To further confirm the importance of the integrity of the miRNA targeted enhancer, we disrupted the miRanda predicted enhancer in the KDM6B gene locus using FastTALE™ TALEN Assembly Kit (SIDANSAI) (Fig. 5E, F and Fig. S5I-K) and found that this deletion can abolish the neighboring genes up-regulation of KDM6B, LSMD1 and CYB5D1 when we transfected miR-24-1 (Fig. 5G, H).
Figure 5.

miRNAs activate genome-wide gene transcription. (A) Microarray shows that 1074 genes were upregulated after miR-24-1 transfection to HEK293T cells. Up- and downregulated genes are shaded in red and blue, respectively. (B) The miRanda algorithm analysis shows that 60.42% of total 3282 H3K27ac enriched regions were predicted as miR-24-1 targeted sites, while only 13.24% of total 2070 mock regions were predicted (P = 9.756e-254, χ2 Test). (C) Correlation between miR-24-1 target enhancers and adjacent up-regulated gene number calculated in ±100k of miR-24-1 targeted H3K27ac peaks. Difference in upregulated gene number is significant (P = 0.000878) relative to mock. The x-axis is the up-regulated genes number, and y-axis is the occurrence of every number in total 1 million times. In detail, we identified 1984 potential miR-24-1 targeted enhancers through H3K27ac histone ChiP-seq data and miRanda prediction. A total number of 179 upregulated genes revealed by microarray assay are located within ±100Kb of these enhancers. As the control, we created a background by randomly sampling sets of mock regions which has same length with targeted enhancers for 1 million times and computing the up-regulated genes number within ±100Kb of every mock region. Distribution of the upregulated genes number in the background is plotted as the black curve. Up-regulated genes number for potential miR-24-1 targeted enhancers is significant (P-value = 0.000878, red line) relative to our background model. (D) As shown by ChIP-seq boxplots, H3K27ac, H3K4me1 and Pol II was enriched while H3K9me3 decreased in the predicted miR-24-1 target region when miR-24 overepressed. (E) An example of Fig. 5D. Genomic locus of the predicted miR-24-1 target region overlapped with the strong enhancer (blue, left). After miR-24-1 overexpressed, H3K27ac, H3K4me1 and Pol II was enriched while H3K9me3 decreased. LSMD1 (pink shadow) and CYB5D1 (yellow shadow) became upregulated as RNA-seq analysis shown. Also by microarray data, LSMD1 appears to be up-regulated. (F) Schematic of TALENs design for miR-24-1 targeted locus predicted by miRanda overlapped with an enhancer (blue). (G–H) miR-24-1 target site deletion abolished neighboring gene activation. FBP1 in red box as a positive control. All values are normalized to GAPDH and error bars show mean ± SEM for 3 biological replicates *P < 0.05, **P < 0.01, ***P < 0.001 by 2-tailed student's t-test.

miRNAs activate genome-wide gene transcription. (A) Microarray shows that 1074 genes were upregulated after miR-24-1 transfection to HEK293T cells. Up- and downregulated genes are shaded in red and blue, respectively. (B) The miRanda algorithm analysis shows that 60.42% of total 3282 H3K27ac enriched regions were predicted as miR-24-1 targeted sites, while only 13.24% of total 2070 mock regions were predicted (P = 9.756e-254, χ2 Test). (C) Correlation between miR-24-1 target enhancers and adjacent up-regulated gene number calculated in ±100k of miR-24-1 targeted H3K27ac peaks. Difference in upregulated gene number is significant (P = 0.000878) relative to mock. The x-axis is the up-regulated genes number, and y-axis is the occurrence of every number in total 1 million times. In detail, we identified 1984 potential miR-24-1 targeted enhancers through H3K27ac histone ChiP-seq data and miRanda prediction. A total number of 179 upregulated genes revealed by microarray assay are located within ±100Kb of these enhancers. As the control, we created a background by randomly sampling sets of mock regions which has same length with targeted enhancers for 1 million times and computing the up-regulated genes number within ±100Kb of every mock region. Distribution of the upregulated genes number in the background is plotted as the black curve. Up-regulated genes number for potential miR-24-1 targeted enhancers is significant (P-value = 0.000878, red line) relative to our background model. (D) As shown by ChIP-seq boxplots, H3K27ac, H3K4me1 and Pol II was enriched while H3K9me3 decreased in the predicted miR-24-1 target region when miR-24 overepressed. (E) An example of Fig. 5D. Genomic locus of the predicted miR-24-1 target region overlapped with the strong enhancer (blue, left). After miR-24-1 overexpressed, H3K27ac, H3K4me1 and Pol II was enriched while H3K9me3 decreased. LSMD1 (pink shadow) and CYB5D1 (yellow shadow) became upregulated as RNA-seq analysis shown. Also by microarray data, LSMD1 appears to be up-regulated. (F) Schematic of TALENs design for miR-24-1 targeted locus predicted by miRanda overlapped with an enhancer (blue). (G–H) miR-24-1 target site deletion abolished neighboring gene activation. FBP1 in red box as a positive control. All values are normalized to GAPDH and error bars show mean ± SEM for 3 biological replicates *P < 0.05, **P < 0.01, ***P < 0.001 by 2-tailed student's t-test.

Discussion

MicroRNA induced translation repression results in gene silencing, and mainly occurs in the cytoplasm. However, miRNAs also exist in the nucleus, leaving us to question the precise function of nuclear miRNAs. Recent reports have demonstrated that miRNA or small RNA may be able to up-regulate transcription through the interaction between miRNAs and promoters, as well as enhance translation. Our work on the function of enhancer-associated miRNA presents a somewhat novel concept. In our research, we found that a subset of miRNAs deriving from the enhancer loci is capable of activating transcription, and these miRNAs are associated with active enhancers. Choosing miR-24-1 for further investigation, we found it function as unconventional mediators for transcriptional gene activation through chromatin remodeling at enhancer regions. Meanwhile, when it is within the cytoplasm, miR-24-1 would still be able to function canonically as a repressor for its target genes (Fig. S2F and Fig. S5B). In knowing this, one would visualize that miRNA carries a dual function ability, activation in the nucleus as well as repression in the cytoplasm (Fig. S6). The first miRNA, lin-4, was discovered 30 years ago and is an inhibitor of lin-14 by targeting its 3′UTR in the cytoplasm. This model, was later predominantly applied to the understanding of the miRNA-mRNA regulation network among diverse organismal systems. Our work has identified that miRNAs can function as an unconventional mediator for transcriptional gene activation through chromatin remodeling at enhancer regions. The positive and negative modulating effects of miRNAs in gene regulation may both contribute to gene expression, our findings demonstrate that miRNAs can function as an activator. Thus, we expect that miRNA activated gene transcription may represent a novel mechanism.
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Authors:  Xiaorong Zhang; Xinxin Zuo; Bo Yang; Zongran Li; Yuanchao Xue; Yu Zhou; Jie Huang; Xiaolu Zhao; Jie Zhou; Yun Yan; Huiqiong Zhang; Peipei Guo; Hui Sun; Lin Guo; Yi Zhang; Xiang-Dong Fu
Journal:  Cell       Date:  2014-07-31       Impact factor: 41.582

7.  Ago1 Interacts with RNA polymerase II and binds to the promoters of actively transcribed genes in human cancer cells.

Authors:  Vera Huang; Jiashun Zheng; Zhongxia Qi; Ji Wang; Robert F Place; Jingwei Yu; Hao Li; Long-Cheng Li
Journal:  PLoS Genet       Date:  2013-09-26       Impact factor: 5.917

8.  Promoter RNA links transcriptional regulation of inflammatory pathway genes.

Authors:  Masayuki Matsui; Yongjun Chu; Huiying Zhang; Keith T Gagnon; Sarfraz Shaikh; Satya Kuchimanchi; Muthiah Manoharan; David R Corey; Bethany A Janowski
Journal:  Nucleic Acids Res       Date:  2013-09-02       Impact factor: 16.971

9.  DNMT1-interacting RNAs block gene-specific DNA methylation.

Authors:  Annalisa Di Ruscio; Alexander K Ebralidze; Touati Benoukraf; Giovanni Amabile; Loyal A Goff; Jolyon Terragni; Maria Eugenia Figueroa; Lorena Lobo De Figueiredo Pontes; Meritxell Alberich-Jorda; Pu Zhang; Mengchu Wu; Francesco D'Alò; Ari Melnick; Giuseppe Leone; Konstantin K Ebralidze; Sriharsa Pradhan; John L Rinn; Daniel G Tenen
Journal:  Nature       Date:  2013-10-09       Impact factor: 49.962

10.  Rev-Erbs repress macrophage gene expression by inhibiting enhancer-directed transcription.

Authors:  Michael T Y Lam; Han Cho; Hanna P Lesch; David Gosselin; Sven Heinz; Yumiko Tanaka-Oishi; Christopher Benner; Minna U Kaikkonen; Aneeza S Kim; Mika Kosaka; Cindy Y Lee; Andy Watt; Tamar R Grossman; Michael G Rosenfeld; Ronald M Evans; Christopher K Glass
Journal:  Nature       Date:  2013-06-02       Impact factor: 49.962

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  93 in total

Review 1.  Regulatory network of miRNA on its target: coordination between transcriptional and post-transcriptional regulation of gene expression.

Authors:  Mengfan Pu; Jing Chen; Zhouteng Tao; Lingling Miao; Xinming Qi; Yizheng Wang; Jin Ren
Journal:  Cell Mol Life Sci       Date:  2018-10-29       Impact factor: 9.261

Review 2.  Mitochondrial microRNA (MitomiRs) in cancer and complex mitochondrial diseases: current status and future perspectives.

Authors:  Paresh Kumar Purohit; Neeru Saini
Journal:  Cell Mol Life Sci       Date:  2020-10-21       Impact factor: 9.261

3.  A role for microRNAs in the epigenetic control of sexually dimorphic gene expression in the human placenta.

Authors:  Lauren Eaves; Preeyaphan Phookphan; Julia Rager; Jacqueline Bangma; Hudson P Santos; Lisa Smeester; Thomas Michael O'Shea; Rebecca Fry
Journal:  Epigenomics       Date:  2020-09-09       Impact factor: 4.778

4.  miRNA activation is an endogenous gene expression pathway.

Authors:  Luis M Vaschetto
Journal:  RNA Biol       Date:  2018-04-03       Impact factor: 4.652

5.  Expression analysis of LTR-derived miR-1269a and target gene, KSR2 in Sebastes schlegelii.

Authors:  Jennifer Im; Woo Ryung Kim; Hee-Eun Lee; Ahran Kim; Do-Hyung Kim; Yung Hyun Choi; Hee-Jae Cha; Suhkmann Kim; Heui-Soo Kim
Journal:  Genes Genomics       Date:  2019-11-12       Impact factor: 1.839

6.  Dynamic Changes in miR-126 Expression in the Hippocampus and Penumbra Following Experimental Transient Global and Focal Cerebral Ischemia-Reperfusion.

Authors:  Zhang Hong Xiao; Li Wang; Ping Gan; Jing He; Bing Chun Yan; Li Dong Ding
Journal:  Neurochem Res       Date:  2020-02-17       Impact factor: 3.996

7.  The Yin and Yang function of microRNAs in insulin signalling and cancer.

Authors:  Juanhong Liu; Feng Liu
Journal:  RNA Biol       Date:  2020-08-13       Impact factor: 4.652

8.  Characterization and Evidence of the miR-888 Cluster as a Novel Cancer Network in Prostate.

Authors:  Tsuyoshi Hasegawa; Garrison J Glavich; Mary Pahuski; Aleena Short; O John Semmes; Lifang Yang; Vitold Galkin; Richard Drake; Aurora Esquela-Kerscher
Journal:  Mol Cancer Res       Date:  2018-01-12       Impact factor: 5.852

9.  A potential endogenous gibberellin-mediated signaling cascade regulated floral transition in Magnolia × soulangeana 'Changchun'.

Authors:  Liyong Sun; Zheng Jiang; Ye Ju; Xuan Zou; Xiaoxia Wan; Yao Chen; Zengfang Yin
Journal:  Mol Genet Genomics       Date:  2020-11-04       Impact factor: 3.291

Review 10.  The role of RNA processing and regulation in metastatic dormancy.

Authors:  Kimberly A Parker; Nathaniel J Robinson; William P Schiemann
Journal:  Semin Cancer Biol       Date:  2021-03-26       Impact factor: 15.707

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