| Literature DB >> 24555688 |
Yogita K Adlakha, Neeru Saini1.
Abstract
MicroRNAs, the non-coding single-stranded RNA of 19-25 nucleotides are emerging as robust players of gene regulation. Plethora of evidences support that the ability of microRNAs to regulate several genes of a pathway or even multiple cross talking pathways have significant impact on a complex regulatory network and ultimately the physiological processes and diseases. Brain being a complex organ with several cell types, expresses more distinct miRNAs than any other tissues. This review aims to discuss about the microRNAs in brain development, function and their dysfunction in brain tumors. We also provide a comprehensive summary of targets of brain specific and brain enriched miRNAs that contribute to the diversity and plasticity of the brain. In particular, we uncover recent findings on miRNA-128, a brain-enriched microRNA that is induced during neuronal differentiation and whose aberrant expression has been reported in several cancers. This review describes the wide spectrum of targets of miRNA-128 that have been identified till date with potential roles in apoptosis, angiogenesis, proliferation, cholesterol metabolism, self renewal, invasion and cancer progression and how this knowledge might be exploited for the development of future miRNA-128 based therapies for the treatment of cancer as well as metabolic diseases.Entities:
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Year: 2014 PMID: 24555688 PMCID: PMC3936914 DOI: 10.1186/1476-4598-13-33
Source DB: PubMed Journal: Mol Cancer ISSN: 1476-4598 Impact factor: 27.401
Figure 1miRNA biogenesis pathway and function: miRNAs are transcribed in the nucleus either from introns or exons of protein-coding genes or introns of long non-coding RNAs into primary transcripts (pri-miRNAs). Pri-miRNAs are then processed in two steps in the nucleus and cytoplasm, catalyzed by the RNase III type endonucleases Drosha and Dicer, in complexes with dsRNA-binding domain proteins, DGCR8 and TRBP respectively. In the canonical pathway, Drosha-DGCR8 processes the transcript to a stem loop-hairpin precursor (pre-miRNA). Intron derived miRNAs, called miRtrons, evade canonical pathway and processed by the spliceosome and the debranching enzyme into pre-miRNAs. Both canonical miRNAs and miRtrons are exported to the cytoplasm via Exportin 5, where they are further processed by Dicer-TRBP or by Ago2 to yield 20-25-bp miRNA duplexes. Dicer processing adds 5′ phosphate groups and two-nucleotide overhangs at the 3′ ends of the mature strands. The duplex produced by either Dicer or Ago2 is loaded onto an Argonaute protein of RISC where one strand is selected to function as mature miRNA while the partner miRNA* strand is preferentially degraded. The mature miRNA produced by these two mechanisms leads to translational repression or mRNA degradation.
Comprehensive list of brain enriched microRNAs and their targets and functions related to brain
| miR-9* | SOX2 | Induces neuronal differentiation, affects both proliferation and differentiation | [ |
| miRNA-128 | Reelin, DCX, SUZ12, neurofibromin 1, BMI1, RTK, EGFR,PDGFRαUPF1, MLN51, NTRK3, WEE1, Bax, E2F3a, SNAP25 | Synaptogenesis; reduces neuroblastoma cell motility and invasiveness; suppressor of PRC activity; renders glioma stemlike cells less radioresistant; suppressor of the colony formation ability and invasiveness of pituitary tumor cells; suppressor of growth and mediates differentiation; regulates Nonsense-mediated decay; regulates apoptosis, inhibits proliferation and self-renewal, | [ |
| miR-7 | KLF4, α-synuclein, Sepp1b, EGFR, IRS-2 | Suppresses brain metastasis, control neurite outgrowth, protects against oxidative stress, potential tumor suppressor, decreases viability and invasiveness of primary glioblastoma | [ |
| miR-125 a-b | NR2A, SMG1, SMAD4 | regulates synaptic plasticity; regulates Nonsense-mediated decay. | [ |
| miR-23 | laminB1,X-linked inhibitor of apoptosis (XIAP) | regulates oligodendrocyte development and myelination, regulates cerebral ischemia and neural specification | [ |
| miR-132 | PTBP2, AChE, FoxP2, Sirt1, MeCP2, ATA2, DPYSL3, STAT4; p250RhoGAP, Mecp2, Ep300, Jarid1a, Btg2, Paip2a, For more targets view
[ | Regulates progressive supranuclear palsy, regulator of the brain-to-body resolution of inflammation, contribute to neurodevelopmental and neuromorphological pathologies, neuronal cell development, regulate synaptic plasticity, neuronal maturation, regulates basal and activity-induced neurite outgrowth, regulates recognition memory and synaptic plasticity, regulates Circadian Clock. | [ |
| miR-137 | CDK6, MindBomb-1, CSMD1, C10orf26, CACNA1C, TCF4, ZNF804A, neurofibromin 1, CSE1L, Cox-2, LSD1, MITF, EZH2, KLF4, SPTLC1, For more targets view
[ | Inhibit proliferation of glioblastoma multiforme cells and induce differentiation of brain tumor stem cells, neuronal maturation, regulates differentiation of neural stem cells, suppress growth and invasion of oligodendroglioma and glioma cells, | [ |
| miR-139 | Mcl-1, C-X-C chemokine receptor type 4 (CXCR4), FoxO1, CPG1, Bcl2 | Suppressor of the proliferation and enhances drug induced apoptosis, Reduced invasion and metastasis, Regulates Transcriptional activity. | [ |
Comprehensive list of brain specific microRNAs and their targets and functions related to brain
| miR-9 | KCNMA1, cyclicAMP response element-binding protein (CREB), neurofibromin 1 (NF1), Hes1, FoxP2, prelamin A | Promotes Neuronal differentiation, Inhibits proliferation, Promotes migration, Control neural stem cell differentiation | [ |
| miR-124 a-b | SNAI2, NR3C2, SOS1, CDK4, Usp14, inhibitory member of the apoptosis-stimulating proteins of p53 family (iASPP), AMPA2 and AMPA3, SCP-1, PTBP1, Sox9, Ephrin-B1, JAG1, BAF53a, CDK6, p38α mitogen-activated protein kinase, CEBPa, RhoG, anachronism (ana), SNAI2, Lhx2, Ctdsp1, BACE1, NeuroD1 | Promotes neuronal transcriptome/neurogenesis; inhibit proliferation of glioblastoma multiforme cells and induce differentiation of brain tumor stem cells, regulation of renin-angiotensin-aldosterone system, radiosensitize Glioblastoma multiforme cells, promotes neuronal survival under ischemic conditions, induce differentiation into neurons, regulates the migration of glioma cells and the self-renewal of GSCs, inhibits growth of medulloblastoma xenograft tumors, regulates neuroblast proliferation, alleviates cell death. | [ |
| miR-134 | Nanog, LRH1, Forkhead Box M1 (FOXM1), μ-opioid receptor (MOR), DPD gene (DPYD), Xenopus LIM kinase 1 (Xlimk1), cMYC, Pum2, Dcx and Chrdl-1, CREB, splicing factor SC35, Limk1 | Controls dendritic spine development, control synaptic protein synthesis and plasticity, inhibits cell proliferation, invasion and migration capability and promotes apoptosis, inhibits epithelial to mesenchymal transition, guidance of nerve growth cones, growth-promoting effect on dendritogenesis; inducer of pluripotent stem cell differentiation; stage-specific modulation of cortical development, regulates memory, modify both alternative splicing and cholinergic neurotransmission | [ |
| miR-135 | Focal Adhesion Kinase (FAK), EB1, NR3C2, Smad5, APC | Decreased cell invasion and increased drug sensitivity, regulation of immunity, regulation of renin-angiotensin-aldosterone system, inhibit differentiation of osteoprogenitors, regulates Wnt signaling pathway. | [ |
| miR-153 | SNCA, BSN, PCLO, amyloid-β (Aβ) precursor protein (APP), APLP2, alpha-synuclein, Bcl-2 and Mcl-1, SNAI1 and ZEB2 | Promote neuronal differentiation, impairs self-renewal ability and induces differentiation, repress growth and induce apoptosis of GBM-stem cells, decreases cell proliferation and increases apoptosis in GBM cell line, regulates epithelial-mesenchymal transition and tumor metastasis, regulate gliomagenesis. | [ |
| miR-219 | EGFR, PLK2, Sox6, FoxJ3, PDGFRα, ZFP238, ELOVL7, CaMKIIgamma | Inhibits the proliferation, anchorage independent growth and migration of glioma cells, promote oligodendrocyte differentiation and myelination, modulates NMDA receptor-mediated neurobehavioral dysfunction, maintenance of lipids and redox homeostasis in mature Olligodendrocytes, regulates circadian rhythms of expression. | [ |
Figure 2Roles of miRNA-128 in different cellular processes: The role of miRNA-128 in the different biological processes and multistep events that lead to cancer are shown. The experimentally validated target genes of miRNA-128 are depicted along with the respective biological processes.
The pathological conditions in which miRNA-128 is implicated[243](u - up, d – down; hsa-miRNA-128- refers to both hsa-miRNA-128a and b)
| hsa-miRNA-128a | Acute lymphoblastic leukemia (ALL) | [ | 2007 | |
| hsa-miRNA-128a | Acute myeloid leukemia (AML) | [ | 2007 | |
| hsa-miRNA-128a | Alzheimer’s disease | [ | 2007 | |
| hsa-miRNA-128a | Autism spectrum disorder (ASD) | [ | 2008 | |
| hsa-miRNA-128a | Glioblastoma | [ | 2005 | |
| hsa-miRNA-128a | Glioblastoma multiforme (GBM) | [ | 2008 | |
| hsa-miRNA-128a | Malignant melanoma | [ | 2008 | |
| hsa-miRNA-128a | Oral Squamous Cell Carcinoma (OSCC) | [ | 2008 | |
| hsa-miRNA-128a | Pituitary adenoma | [ | 2007 | |
| hsa-miRNA-128a | Breast cancer | [ | 2008 | |
| hsa-miRNA-128b | Lung cancer | [ | 2008 | |
| hsa-miRNA-128b | Acute lymphoblastic leukemia (ALL) | [ | 2007 | |
| hsa-miRNA-128b | Acute myeloid leukemia (AML) | [ | 2007 | |
| hsa-miRNA-128b | Breast cancer | [ | 2005 | |
| hsa-miRNA-128b | Chronic pancreatitis | [ | 2007 | |
| hsa-miRNA-128b | Colorectal cancer | [ | 2006 | |
| hsa-miRNA-128b | Lung cancer | [ | 2006 | |
| hsa-miRNA-128b | Malignant melanoma | [ | 2008 | |
| hsa-miRNA-128b | Pancreatic cancer | [ | 2006 | |
| hsa-miRNA-128b | Hepatocellular carcinoma (HCC) | [ | 2009 | |
| hsa-miRNA-128b | Acute promyelocytic leukemia (APL) | [ | 2009 | |
| hsa-miRNA-128 | Glioma | [ | 2008 | |
| hsa-miRNA-128 | Neurodegeneration | [ | 2008 | |
| hsa-miRNA-128 | Neuroblastoma | [ | 2009 | |
| hsa-miRNA-128 | Huntington’s disease | [ | 2010 |
List of ninety conserved targets of miRNA-128 among nine species
| AFF4 | CORO1C | ENAH | C5orf41 |
| EYA4 | WSB1 | hCG_1757335 | JMJD1C |
| PLK2 | PLAG1 | IRS1 | NDUFS4 |
| ONECUT2 | NRP2 | RNF38 | UPF1 |
| RYBP | HAPLN1 | PDE7B | SPRY2 |
| SOCS6 | CDH11 | MAPK14 | ELL2 |
| UBR5 | ZHX1 | UBE2N | DLL4 |
| LBH | STK39 | MED13 | MLL3 |
| C6orf60 | PDS5B | GRIA3 | MEIS2 |
| SYT1 | SEMA6A | RAP1B | SPOPL |
| BAZ2B | ZNF827 | UBE2W | RAPGEF2 |
| APBA2 | FLRT3 | ZNF618 | MARCKS |
| ISL1 | KLF4 | TMEFF1 | ARID2 |
| UNC13C | DNAJC13 | tcag7.1228 | ZFHX4 |
| FRYL | SERTAD2 | AFF3 | CPEB3 |
| C5orf13 | INSM1 | CITED2 | TMEM189-UBE2V1 |
| WNK1 | SATB2 | NARG1 | UBE2V1 |
| FBXO33 | HOXA10 | TSC1 | CPEB4 |
| TNPO1 | OTX2 | MED14 | EN2 |
| ABL2 | APPBP2 | FUBP3 | PDE3B |
| PPP1CC | PELI2 | NIPBL | MAN2A1 |
| ARID1B | ATP2B1 |
Figure 3Strategy for filtering common genes among nine species: Total targets of miRNA-128 have been extracted using TargetScan 5 program for nine species (Human, Mouse, Chimpanzee, Rhesus, Cow, Chicken, Frog, Rat, Opossum). Data was arranged in a tabular format where the union of all genes from the mentioned species were represented as first column in each row (row head). The subsequent columns in first row had species names in them (column head). For every gene, 1 was written under the species where it was found to be present and zero otherwise. This way, a matrix of 1 and zeroes was populated for every gene where 1 means presence and zero means absence. In the last column, sum across the row was taken to count the number of species in which a particular gene was present. We chose only those genes with presence in all nine species. This led to a list of ninety genes which we called high confidence set and were conserved among these species. The total green area specifies ninety common targets whereas red specifies the absence of a particular target in a particular species out of nine species.
Figure 4Biological relevance of miRNA-128 as revealed by bioinformatic analysis: The biological pathways affected by miRNA-128 were revealed by the PANTHER and Gene Codis analysis using the list of common ninet y targets as input. Insulin signaling pathway and chemokine signaling pathway were the enriched categories in both PANTHER and GeneCodis analysis (p-value < 0.05).
Figure 5GO biological processes by PANTHER analysis: The highest rated biological process being affected by miRNA-128 came out to be metabolic process with maximum number of genes during PANTHER analysis.