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Human Molecular Genetics logoLink to Human Molecular Genetics
. 2010 Aug 30;19(R2):R169–R175. doi: 10.1093/hmg/ddq367

Analysis of microRNA knockouts in mice

Chong Y Park 1, Yun S Choi 1,2,3, Michael T McManus 1,3,*
PMCID: PMC2981466  PMID: 20805106

Abstract

MicroRNAs (miRNAs) are small noncoding RNAs that act as potent regulators of gene expression. The discovery of miRNAs with specific temporal and spatial expression patterns revealed a hidden layer of post-transcriptional gene regulation. Furthermore, differential expression of miRNAs during disease progression identified miRNAs as relevant candidate genes in human pathologies. Currently the exact roles of miRNAs in human development and disease progression remain largely unknown. There have been recent efforts to study the loss of these genes in vivo and this review will discuss published miRNA knockout mouse models, highlighting their potential mechanisms of action in vivo.

INTRODUCTION

MicroRNAs (miRNAs) are small noncoding RNAs of about 22 nucleotides (nt), which can bind to target RNAs based on sequence complementarity and direct post-transcriptional regulation of gene expression. First discovered in 1993 by genetic screens in Caenorhabditis elegans, the lin-4 miRNA was treated as a unique phenomenon of nematode biology (1,2). The subsequent discovery of a second miRNA encoded by the let-7 gene and its conserved temporal expression patterns in a wide range of animal species led us to recognize miRNAs as prevalent noncoding RNAs conserved among eukaryotes (3). Their diversity was confirmed using bioinformatics and subsequent cloning (46). With more than 500 confirmed miRNAs in mammals, they have rapidly emerged as a major class of regulatory genes that control development and disease processes in mammals (79). The physiological importance of individual miRNAs in mammals has only recently begun to emerge with the analysis of miRNA knockout mice, along with the discovery of mutations within miRNAs themselves or their target mRNAs (911). Here we discuss how miRNAs regulate a series of complex biological processes by reviewing published mouse knockout models with an emphasis on physiological and genetic evidence.

OVERVIEW OF miRNA BIOGENESIS

This large family of miRNA genes has great diversity in genomic organization. Examination of mammalian miRNAs revealed that about one-third are expressed from introns of known protein-coding genes, with the remainder found distant from previously annotated genes (7). Whereas intronic miRNAs can be transcribed simultaneously with their host genes, intergenic miRNAs can be expressed from independent transcription units (12,13). They are frequently found as polycistronic clusters that are coordinately expressed (14,15). Although RNA Pol II transcribes the majority of miRNAs, RNA Pol III-transcribed miRNAs have been found (16,17).

A canonical pathway generates most miRNAs, where sequential processing by RNases releases the mature ∼22 nt miRNA from a longer transcript. The first processing step occurs in the nucleus, where the microprocessor complex recognizes a stem-loop structure in the primary miRNA (pri-miRNA) transcript. This complex includes the RNase III enzyme Drosha, which cleaves the miRNA-bearing stem-loop with the aid of other factors including DGCR-8 (18). The mature miRNA may reside on either arm of the stem-loop structure, and cleavage by Drosha establishes the 5′ or 3′ end of the mature miRNA. The resulting precursor miRNA (pre-miRNA) is actively transported into the cytosol via the karyopherin Exportin-5 (19,20). In the cytosol, pre-miRNAs are incorporated into a complex that contains a second RNase III enzyme, Dicer (21). With the help of TRBP and other factors, Dicer removes the loop from the pre-miRNA, leaving an RNA duplex (22). Typically one strand of the duplex is selected to become the mature miRNA (guide strand), whereas the other strand (star strand) is degraded quickly. After the mature miRNA is formed, it associates with an Argonaute (Ago) protein, the primary effectors of the RNA-induced silencing complex (RISC) (23). There are rare examples of miRNAs made by alternative pathways that are independent of processing by Drosha or Dicer (2426).

The molecular mechanism by which the RISC regulates target gene expression is an area of intense study (27). Mammalian miRNAs guide RISC to their targets by complementary base-pairing to nucleotides 2–8 of the miRNA (28). This short but critical region is known as the seed sequence, and miRNAs can be grouped into families based on shared seed sequences. Since the miRNA seed is only 7 nt long, each miRNA can potentially regulate hundreds of genes when considering the large number of possible binding sites in mRNAs. The first identified miRNA-binding sites were found in the 3′-UTR of target mRNAs, and prediction algorithms have largely focused on these regions when searching for potential miRNA targets (2831). Recently, unbiased studies have identified miRNA-binding sites within the 5′-UTR and in the coding region (32). The task of identifying bona fide in vivo miRNA–mRNA interactions from this large background of possible matches is challenging.

IN VIVO FUNCTION OF miRNA GENES

The miRNA-processing factors Dicer, Dgcr8, Drosha and Ago2 are essential for viability in mice. Knockout mice individually lacking these key miRNA-processing genes died during early gestation with severe developmental defects (3336). Therefore, to study the phenotypes of mature miRNA loss at later time points, Cre-inducible conditional knockout mice lacking Dicer and Dgcr8 have been generated (34,3739). Although these knockout studies clearly demonstrated the importance of miRNAs on specific developmental stages and tissues, it is not clear which miRNAs are responsible for the observed phenotypes. Individual miRNA knockouts were first reported in 2007 by four independent groups (4043). Following these initial reports, the number of miRNA knockouts published has greatly increased (Table 1). These knockouts largely emerged from cardiovascular and immune fields, presumably influenced by the focused interests of laboratories active in these areas.

Table 1.

miRNA knockout in mice

Gene Expression Phenotypes Reference
miR-155 Thymus, spleen Lung airway remodeling, defects in adaptive immunity 40
miR-155 Thymus, spleen Impaired T-cell- and B-cell-dependent immunity 41
miR-17–92 Detectable in most adult tissues 100% postnatal death with cardiac and lung defects 47
miR-106a–363 Detectable in most adult tissues No obvious phenotype 47
miR-106b–25 Detectable in most adult tissues No obvious phenotype 47
miR-15a/16-1 Widely expressed CLL-associated phenotypes at old age 67
miR-144/451 Erythroid lineage Erythroid hyperplasia, splenomegaly, anemia 68
miR-451 Erythroid lineage Similar to miR-144/451 mice 68
miR-150 Mature B and T cells B1 cell expansion 71
miR-223 Myeloid cells Expanded granulocyte lineage 73
miR-1-2 Heart, skeletal muscle ∼50% lethality with cardiac defects 43
miR-208a Heart Reduced cardiac hypertrophy in response to stress 42
miR-208a Heart Minor cardiac conduction defects 91
miR-208b Heart, skeletal muscle No obvious phenotype 56
miR-499 Heart, skeletal muscle No obvious phenotype 56
miR-133a-1 Heart, skeletal muscle No obvious phenotype 53
miR-133a-2 Heart, skeletal muscle No obvious phenotype 53
miR-206 Skeletal muscle No obvious phenotype 78
mRi-126 Endothelial cells ∼40% lethal with embryonic and perinatal hemorrhages 50
mRi-126 Endothelial cells ∼50% embryonic death with hemorrhages 49
miR-143/145 Developing heart, adult SMCs Reduced media thickness in aorta 64
miR-143/145 Developing heart, adult SMCs Synthetic smooth muscle cells, reduced media thickness 65
miR-143/145 Developing heart, adult SMCs Thinner smooth muscle layers in vessels 66
miR-143 Developing heart, adult SMCs No obvious phenotype 66
miR-145 Developing heart, adult SMCs Similar to miR-143/145 mice 66
miR-375 Islet Hyperglycemia 83
miR-140 Cartilage Short stature and aged-related osteoarthritis 86
miR-182 Broad expression, high in eye No obvious phenotype 89

SMC, smooth muscle cells; CLL, chronic lymphocytic leukemia.

ESSENTIAL ROLES OF miRNAs DURING EMBRYONIC DEVELOPMENT

A highly conserved muscle-specific miRNA, miR-1, is one of the first miRNAs ablated in mice (43,44). Deletion of miR-1 in flies caused death during embryonic development or at larval stages with a spectrum of defects in muscle differentiation (45,46). Although mammalian miR-1 is duplicated as miR-1-1 and miR-1-2, targeted deletion of just miR-1-2 in mice resulted in ∼50% embryonic lethality with cardiac defects, implying the functional haploinsufficiency of miR-1 (43). This result strongly suggests that miR-1 is essential for cardiac development, though generation of a double knockout is necessary for further evaluation. Another example is the miR-17–92 cluster. Genetic ablation of this cluster caused a perinatal death with lung and heart defects, along with abnormal B cell development in mice (47). In addition, transgenic mice with higher expression of miR-17–92 in lymphocytes resulted in premature death with lymphoproliferative disease and autoimmunity (48). Combined loss- and gain-of-function mice demonstrate that the miR-17–92 cluster is absolutely required for the development and survival of mice (47,48).

Targeted deletion of miR-126, an endothelial cell-specific miRNA located in an intron of EGFL7, caused embryonic lethality in 50% of nulls with leaky vessels and hemorrhage (49,50). Surviving mutant mice displayed defects in postnatal retinal vascularization, indicating that miR-126 plays key roles in vascular integrity and angiogenesis. The partial embryonic lethality observed in mice suggests the role of miR-126 as a modulator of the angiogenesis program, rather than an on–off switch. It is worth mentioning that angiogenic defects of this locus (EGFL7 and miR-126) were previously attributed to the deletion of EGFL7 (51). By generating knockout mice lacking specifically either miR-126 or EGFL7, Kuhnert et al. (49) clearly demonstrated that the vascular phenotypes were caused by deletion of miR-126 and not by loss of EGFL7. Though this is the first reported case where an intronic miRNA confounded the analysis of a gene knockout in mouse, other knockout mice already made may potentially have similar complications (52).

REDUNDANCY AND/OR COOPERATION OF COEXPRESSED AND RELATED miRNAs

In mammals, many miRNAs exist as duplicates or highly similar genes, which raises the question of both functional redundancy and cooperation. An example of redundancy is demonstrated by miR-133a-1 and miR-133a-2. Deletion of either miR-133a-1 or miR-133a-2 exhibits no obvious defects, whereas deletion of both results in late embryonic and neonatal death in approximately half of the mice with ventricular septal defects and cardiac chamber dilation (53).

The occurrence of miRNA clusters containing multiple, highly similar miRNAs is common in mammals. One of the best examples is the miR-17–92 cluster. The miR-17–92 cluster is often amplified and overexpressed in human cancers and has been shown to cooperate with c-Myc in a mouse model of B cell lymphoma (54,55). Though this cluster has been well demonstrated for its role in tumorigenesis, the in vivo functional studies are further complicated because of its paralogous clusters, the miR-106a–363 and miR-106b–25 clusters. All three clusters collectively comprise 15 miRNAs from 4 different families, and the genomic organization is evolutionary conserved in vertebrates. Ventura et al. (47) generated mice lacking these clusters, individually and in combination. Whereas mice lacking either the miR-106a–363 or the miR-106b–25 cluster were viable with no obvious abnormalities, mice lacking the miR-17–92 cluster died shortly after the birth with heart and lung defects. Compounding double and triple knockouts including the miR-17–92 cluster displayed more severe cardiac defects as well as additional defects not found in miR-17–92 single knockouts, suggesting genetic interactions among the related miRNA clusters.

Another example of cooperation among related miRNAs can be found in three muscle-specific miRNAs, mirR-208a, miR-208b and miR-499. These miRNAs are located within introns of three corresponding myosin genes, Myh6, Myh7 and Myh7b. The seed sequences of miR-208a and miR-208b are identical, and miR-499 shares six of the seven seed nucleotides with miR-208. Additionally, the genomic organization of the myosin genes and their intronic miRNAs is well conserved from fish to human, suggesting critical roles of these miRNAs in regulating muscle contractility through the expression of the host myosin genes. Whereas mice lacking miR-208a were viable and had no obvious phenotype under normal conditions, deletion of miR-208a inhibited up-regulation of Myh7 (the host gene for miR-208b) in response to pressure overload in the heart. In addition, loss of miR-208a also abrogated expression of miR-499 in normal hearts (42,56). Conversely, transgenic mice over-expressing miR-208a displayed an up-regulation of Myh7 expression, and transgenic miR-499 mice were sufficient to functionally replace miR-208a in adult hearts. Combined results from these two reports demonstrate that these myosin-encoded miRNAs act within a network to control myosin expression and muscle performance (42,56). The regulation of host myosin gene expression by these intronic miRNAs is quite fascinating and this regulation is reminiscent of the relationship between Hox miRNAs such as miR-10a and miR-196 and their neighboring HOX genes (57).

THE QUEST FOR miRNA TARGETS

Since miRNAs may direct post-transcriptional silencing by pairing to target mRNAs, identifying these target mRNAs has been a primary focus. Many computational target-prediction tools have been developed, which generally predict up to a couple of hundreds of targets per miRNA (58). To overcome limitations of computational prediction and validate the predicted targets, proteomics approaches and high-throughput sequencing assays have been developed (32,5961). Still, identification of targets is a major challenge in the field.

It has been proposed that a single miRNA can repress hundreds of target transcripts within a cell to dampen protein output (62). This model is strongly supported by recent proteomics approaches showing widespread changes in protein synthesis, each to a modest level, by a single miRNA (59,63). This model of fine-tuning is further supported by evidence gathered from knockout mice lacking miR-155, miR-143/145, miR-144/451 and mir-15a/16-1 (40,41,6468). In particular, large numbers of identified miR-143 and miR-145 targets function within the actin regulatory network and this is consistent with structural modifications found in the aorta of mice lacking these miRNAs (64,66). Another example is highlighted by studies of miR-15a and miR-16-1 in regulating B cell proliferation, where multiple miRNA targets control cell-cycle progression (67).

There is also strong evidence that some miRNAs can control a specific gene regulation program through a few major targets, suggesting they may function as switches. An elegant example of a switch is represented by miR-150 and c-Myb. Opposite expression pattern of miR-150 and c-Myb during B cell differentiation and targeting of c-Myb by miR-150 in vitro have been well documented (69,70). In accordance with this, deletion of miR-150 in mice caused increased c-Myb expression and B1 cell expansion (71). Using an miR-150 over-expression mouse, Xiao et al. (71) also demonstrated that increased levels of miR-150 reduced c-Myb levels and B1 cell population in a dose-dependent manner. Combined results from both loss- and gain-of-function of miR-150 clearly indicate that this miRNA is responsible for B1 cell differentiation in vivo through c-Myb regulation. This single miRNA–single target relationship for a particular biological process is well supported by miRNAs identified through genetic screens during C. elegans development such as lin-4, let-7 and lsy-6 (13,72).

Another example of single miRNA–single target is highlighted by miR-223 and Mef2c. Genetic ablation of miR-223, a myeloid-specific miRNA, caused an expanded granulocyte compartment and increased circulating neutrophils in mice (73). The defects in granulocyte expansion were attributed to the increase of a transcription factor, Mef2c, known to modulate cell fate decisions between monocytes and granulocytes (74). To examine the functional importance of Mef2c up-regulation as part of the miR-223 circuitry in vivo, Johnnidis et al. (73) generated myeloid-specific Mef2c null mice on the miR-223 null background. Double-knockout mice displayed a corrected level of peripheral neutrophils, providing strong genetic evidence that Mef2c is a major target of miR-223 during early myeloid progenitor differentiation. It should be noted that a recent proteomics approach demonstrated the de-repression of numerous proteins in neutrophils lacking miR-223 (59). These seemingly conflicted observations bring an interesting point that, although a single miRNA can repress hundreds of genes, only a few of these may be critical for a particular phenotype.

The vast number of target genes presented by proteomics or expression analysis present the major challenge to decide which mRNAs are bona fide targets. An ideal approach is to disrupt only the interaction between single miRNA and single target in vivo and observe the phenotypic consequences. This was done by two independent groups for miR-155 and activation-induced cytidine diaminase (AID) using either knockin or BAC trangenic approches (75,76). The role of miR-155 in germinal center B cell development was demonstrated previously (40,41). AID was identified as one of more than 60 genes up-regulated in miR-155-deficient B cells (77). To determine whether miR-155 directly regulates AID expression, mice carrying a mutation within the putative miR-155-binding site in the 3′-UTR of AID were generated (75,76). These genetically modified mice had an increase in both AID mRNA and protein levels and furthermore displayed induced Myc-Igh translocation and impaired affinity maturation phenotypes found in miR-155 knockout mice. Targeted mutagenesis of miRNA-binding sites within target mRNAs is ultimately required to claim the miRNA–target relationship.

ROLE OF miRNAs AS MODIFIERS OF PATHOGENESIS

A skeletal muscle-specific miRNA, miR-206, is the most up-regulated miRNA in the G93A-SOD1 transgenic mouse, a mouse model of amyotrophic lateral sclerosis (ALS), (78). Whereas miR-206 knockout mice do not have any obvious abnormalities, those with a low copy number of G93A-SOD1 display accelerated disease progression and die prematurely, suggesting a compensatory role of miR-206 in disease progression. Williams et al. (78) demonstrated further that miR-206 plays a critical role in the formation of new neuromuscular junctions after nerve injury, in part by repressing histone deacetylase 4 (HDAC4). Consistent with this finding, deletion of HDAC4 in skeletal muscles showed opposing effect of miR-206 deletion on re-innervation after injuries. These results strongly implicate miR-206 as a modifier of ALS pathogenesis.

The miR-15a/16-1 cluster is located inside of a noncoding RNA, deleted in leukemia 2 gene (DLEU2), long suspected as a candidate gene for chronic lymphocytic leukemia (CLL) (79). Point mutations within the primary precursor were found in a subset of human CLL patients and a mouse model of CLL phenotypes (80,81). Genetic ablation of the miR-15a/16-1 cluster displayed B cell-autonomous lymphoproliferative disorders (67). In addition, re-introduction of the miR-15/16 cluster into a human patient cell line dramatically reduced proliferation. Together, these results indicate that the miR-15a/16-1 cluster modulates CLL pathogenesis in mammals.

Genetic ablation of miR-375, a pancreatic islet-specific miRNA, resulted in chronic hyperglycemia with increased total α-cell numbers and moderately decreased β-cell mass (82,83). In contrast, pancreatic islets of leptin-deficient obese mice, a model of increased β-cell mass, had increased expression of miR-375. The role of miR-375 in regulating β-cell mass was further demonstrated by deletion of this miRNA in the obese mice. The mice deficient in both miR-375 and leptin showed dramatic β-cell loss and developed severe insulin-deficient diabetes, suggesting that miR-375 is essential for mediating metabolic stress through β-cell compensation.

A cartilage-specific miRNA, miR-140, is reduced in patients with osteoarthritic cartilage (84,85). In order to examine the role of miR-140 in cartilage development and homeostasis, Miyaski et al. (86) generated both knockouts lacking miR-140 and transgenic mice over-expressing miR-140 in a cartilage-specific manner. Whereas young knockouts showed only mild skeletal phenotypes with short stature, the knockout mice displayed accelerated onset of age-related osteoarthritis-like changes. Conversely, the transgenic mice were resistant to antigen-induced arthritis, suggesting a role for miR-140 in cartilage homeostasis.

Vascular smooth muscle cell plasticity is a key for vascular pathogenesis such as arteriosclerosis. Two clustered miRNAs, miR-143 and miR-145, are highly expressed in vascular smooth muscle cells, and genetic ablation of this cluster displays vascular smooth muscle cell defects (6466). The most striking observation from miR-143/145 double-knockout mice was reduced neointima formation following carotid ligation injury reported by Xin et al. (66). This finding is contradictory to the observation that administration of miR-143 or miR-145 immediately following balloon injury reduced neointima formation (64,87). Nonetheless, these observations support critical roles of miR-143/145 in mediating vascular smooth muscle cell programs in response to injury. Disparities between genetic modification and transient in vivo studies are not rare. In the case of miR-144/451 studies, genetic deletion and lentiviral decoy approaches resulted in different outcomes (68,88). This issue brings forth concerns in the field regarding transient in vivo experiments, although these approaches are useful in dissecting molecular mechanisms.

Based on observations from miRNA knockout models and rapidly accumulating human miRNA-disease association data, it seems clear that many miRNAs can function as modifiers of pathogenesis in response to stress and injuries (9). These observations further highlight the promise of miRNAs as therapeutic targets. Depending on whether a disease-associated miRNA acts in a pathogenic or compensatory manner, miRNA inhibitors or mimics may be further developed as therapeutics. In addition, the discovery of miRNAs as modifiers of disease processes can help identify cellular effectors and define molecular mechanisms of disease processes.

CLOSING REMARKS

Observations from reviewed knockout mouse models indicate that miRNAs can control expression of numerous functionally related proteins to exert their biological functions. However, some miRNAs can exert profound physiological effects by targeting only a few genes. It appears that different miRNAs can exert their functions by either acting as fine tuners or switches. Modes of action may vary from one miRNA to anther, over the course of development, or in a tissue-dependent manner.

Reviewed knockout studies also indicate that genetic ablation of miRNAs may not result in obvious phenotypes (53,78,89). In worms, <10% of systematic miRNA deletions cause embryonic death or grossly abnormal phenotypes (90). No apparent phenotypes could be caused by redundant functions of other related miRNAs or complex regulatory network buffering (58). Here, the miRNA–target mRNA interactions presumably fall within complex regulatory networks with multiple pathways and feedback controls that enable maintenance of homeostasis despite a defective node in the network. The fact that many miRNA knockouts exhibited phenotypes only under stress overloads or injuries supports the notion of the regulatory network buffering. However, we expect that genetic ablation of miRNAs in mice would display more discernible phenotypes compared with deletions in worms, because there are many mouse disease models and advanced analytical tools available in mice as highlighted in some knockout models (42,91). Since miRNAs constitute one of the largest classes of gene regulatory elements in mammals, deciphering their mode of action and their physiological roles is absolutely essential to understand biological systems.

FUNDING

C.Y.P. and M.T.M. are supported by a grant from the W.M. Keck Foundation. We wish to thank the W.M. Keck Foundation for their financial support.

ACKNOWLEDGEMENTS

We thank Drs Nikki Shariat, Greg Ku, Lukas Jeker and Mark Ansel for their critical reading and suggestions for the manuscript.

Conflict of Interest statement. None declared.

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