microRNA Cluster Research Articles

Involvement of extracellular vesicle microRNA clusters in developing healthy and Rett syndrome brain organoids

Rett syndrome (RTT) is a neurodevelopmental disorder caused by de novo mutations in the MECP2 gene. Although miRNAs in extracellular vesicles (EVs) have been suggested to play an essential role in several neurological conditions, no prior study has utilized brain organoids to profile EV-derived miRNAs during normal and RTT-affected neuronal development. Here we report the spatiotemporal expression pattern of EV-derived miRNAs in region-specific forebrain organoids generated from female hiPSCs with a MeCP2:R255X mutation and the corresponding isogenic control. EV miRNA and protein expression profiles were characterized at day 0, day 13, day 40, and day 75. Several members of the hsa-miR-302/367 cluster were identified as having a time-dependent expression profile with RTT-specific alterations at the latest developmental stage. Moreover, the miRNA species of the chromosome 14 miRNA cluster (C14MC) exhibited strong upregulation in RTT forebrain organoids irrespective of their spatiotemporal location. Together, our results suggest essential roles of the C14MC and hsa-miR-302/367 clusters in EVs during normal and RTT-associated neurodevelopment, displaying promising prospects as biomarkers for monitoring RTT progression.Graphical

ETMR-10. DEVELOPMENT AND CHARACTERIZATION OF A NOVEL IMMUNOCOMPETENT ORTHOTOPIC MOUSE MODEL FOR THE STUDY OF EMBRYONAL TUMORS WITH MULTILAYERED ROSETTES (ETMRS)

Abstract BACKGROUND ETMRs are highly aggressive CNS embryonal tumors with a median survival of <12 months. They are characterized by the presence of multilayered rosettes, amplification of the C19MC microRNA cluster, and high expression of LIN28A; all which are used as diagnostic markers of ETMR. To understand more deeply the mechanisms involved in ETMR pathogenesis, as well as to test immune therapies, it is necessary to develop appropriate immunocompetent murine models that resemble human ETMRs, which are currently scarce. Thus, the aim of our study is the generation and characterization of a novel preclinical ETMR mouse model. METHODS The murine PNET cell line DF1-MYC, produced using a MYC overexpressing RCAS model on a C57BL/6J background, and corresponding allografts were implanted into the supratentorial region of 4-week-old NSG and immunocompetent NTV-a p53floxed mice. Mice were monitored and sacrificed. For efficacy studies, the survival curves were plotted according to the Kaplan-Meier method. For tumor histological analysis and immunohistochemistry, FFPE brain sections were stained with H&E or antibodies against Ki67, c-Myc and Lin28a. Transcriptional profile was characterized by RNA-seq. RESULTS DF1-MYC-bearing NP53 mice did not develop tumors except one mouse that showed a small tumor with multilayered rosettes. With the goal of achieving complete penetrance, we injected DF1-MYC cells orthotopically in NSG mice and allografts subsequently in NP53 mice. Specifically, our MYC384 allograft ETMR mouse model show a penetrance of 70% with a median survival of 36 days. Importantly, the MYC384 allograft model recapitulates histopathologic features of human ETMR, including the presence of highly proliferative undifferentiated cells with multilayered rosettes. Moreover, we are working on overexpressing Lin28a and c-Myc in MYC384 to create a more realistic molecular model of ETMR while allowing us to achieve 100% penetrance. CONCLUSION We describe MYC384 as a potential relevant immunocompetent mouse model of ETMR with almost complete penetrance.

ETMR-18. ADVANCING ETMR RESEARCH: NOVELIN VITRO ANDIN VIVO PRECLINICAL MODELS FOR DEVELOPING MORE EFFECTIVE TREATMENTS

Abstract BACKGROUND Embryonal Tumor with Multilayered Rosettes (ETMR) is a rare and aggressive tumor that occurs mainly in infants under three years of age. Genetically, ETMRs are characterized by amplification and fusion of a microRNA cluster on chromosome 19 (C19MC) with TTYH1, present in ~90% of the tumors. ETMR patients still have a poor prognosis without any recent advances in treatment. A major limitation to develop more effective treatment strategies is the lack of sufficient preclinical models. METHODS Establishment of ETMR patient-derived xenograft (PDX) models and tumoroid lines, molecular characterization, high throughput in vitro drug screens, targeted drug treatments in vitro and in vivo. RESULTS We have established four new tumoroid and five new PDX ETMR models. These models faithfully recapitulate ETMR patients’ tumors based on their histological, transcriptomic, and methylome signatures. The in vitro models were derived from two patients and two PDX models and included three C19MC-amplified cell lines, of which two were a primary-relapse pair, and one a primary C19MC non-amplified model. In vivo we established the same models as PDX models subcutaneously plus an additional C19MC-amplified relapse model. High-throughput drug screening assays, using drug libraries with 225 clinically approved drugs and other small molecules, were conducted across the panel of in vitro models. Potential therapeutic candidates with promising activity in ETMR tumoroid lines identified from these screens include FGFR, XPO1, MTOR, MDM2 and topoisomerase inhibitors. CONCLUSIONS The establishment of novel preclinical models represents a significant advancement in ETMR research, offering a platform that captures the molecular complexity of the disease. The identification of several inhibitors shows the potential of these models for drug discovery and preclinical testing. Ongoing in vitro and in vivo experiments with these drugs and combinations aim to further validate their activity, moving towards the development of more effective therapies for ETMR patients.

MEF2C Directly Interacts with Pre-miRNAs and Distinct RNPs to Post-Transcriptionally Regulate miR-23a-miR-27a-miR-24-2 microRNA Cluster Member Expression.

Transcriptional regulation constitutes a key step in gene expression regulation. Myocyte enhancer factor 2C (MEF2C) is a transcription factor of the MADS box family involved in the early development of several cell types, including muscle cells. Over the last decade, a novel layer of complexity modulating gene regulation has emerged as non-coding RNAs have been identified, impacting both transcriptional and post-transcriptional regulation. microRNAs represent the most studied and abundantly expressed subtype of small non-coding RNAs, and their functional roles have been widely documented. On the other hand, our knowledge of the transcriptional and post-transcriptional regulatory mechanisms that drive microRNA expression is still incipient. We recently demonstrated that MEF2C is able to transactivate the long, but not short, regulatory element upstream of the miR-23a-miR-27a-miR-24-2 transcriptional start site. However, MEF2C over-expression and silencing, respectively, displayed distinct effects on each of the miR-23a-miR-27a-miR-24-2 mature cluster members without affecting pri-miRNA expression levels, thus supporting additional MEF2C-driven regulatory mechanisms. Within this study, we demonstrated a complex post-transcriptional regulatory mechanism directed by MEF2C in the regulation of miR-23a-miR-27a-miR-24-2 cluster members, distinctly involving different domains of the MEF2C transcription factor and the physical interaction with pre-miRNAs and Ksrp, HnRNPa3 and Ddx17 transcripts.

Complete male-to-female sex reversal in XY mice lacking the miR-17~92 cluster

Mammalian sex determination is controlled by antagonistic gene cascades operating in embryonic undifferentiated gonads. The expression of the Y-linked gene SRY is sufficient to trigger the testicular pathway, whereas its absence in XX embryos leads to ovarian differentiation. Yet, the potential involvement of non-coding regulation in this process remains unclear. Here we show that the deletion of a single microRNA cluster, miR-17~92, induces complete primary male-to-female sex reversal in XY mice. Sry expression is delayed in XY knockout gonads, which develop as ovaries. Sertoli cell differentiation is reduced, delayed and unable to sustain testicular development. Pre-supporting cells in mutant gonads undergo a transient state of sex ambiguity which is subsequently resolved towards the ovarian fate. The miR-17~92 predicted target genes are upregulated, affecting the fine regulation of gene networks controlling gonad development. Thus, microRNAs emerge as key components for mammalian sex determination, controlling Sry expression timing and Sertoli cell differentiation.

Overexpression of Let-7a mitigates diploidization in mouse androgenetic haploid embryonic stem cells

Mouse androgenetic haploid embryonic stem cells (mAG-haESCs) can be utilized to uncover gene functions, especially those of genes with recessive effects, and to produce semicloned mice when injected into mature oocytes. However, mouse haploid cells undergo rapid diploidization during long-term culture invitro and subsequently lose the advantages of haploidy, and the factors that drive diploidization are poorly understood. In this study, we compared the small RNAs (sRNAs) of mAG-haESCs, normal embryonic stem cells (ESCs), and mouse round spermatids by high-throughput sequencing and identified distinct sRNA profiles. Several let-7 family members and miR-290-295 cluster microRNAs (miRNAs) were found significantly differentially transcribed. Knockdown and overexpression experiments showed that let-7a and let-7g suppress diploidization while miR-290a facilitates diploidization. Our study revealed the unique sRNA profile of mAG-haESCs and demonstrated that let-7a overexpression can mitigate diploidization in mAG-haESCs. These findings will help us to better understand mAG-haESCs and utilize them as tools in the future.

Regional random mutagenesis driven by multiple sgRNAs and diverse on-target genome editing events to identify functionally important elements in non-coding regions.

Functional regions that regulate biological phenomena are interspersed throughout eukaryotic genomes. The most definitive approach for identifying such regions is to confirm the phenotype of cells or organisms in which specific regions have been mutated or removed from the genome. This approach is invaluable for the functional analysis of genes with a defined functional element, the protein-coding sequence. By contrast, no functional analysis platforms have been established for the study of cis-elements or microRNA cluster regions consisting of multiple microRNAs with functional overlap. Whole-genome mutagenesis approaches, such as via N-ethyl-N-nitrosourea and gene trapping, have greatly contributed to elucidating the function of coding genes. These methods almost never induce deletions of genomic regions or multiple mutations within a narrow region. In other words, cis-elements and microRNA clusters cannot be effectively targeted in such a manner. Herein, we established a novel region-specific random mutagenesis method named CRISPR- and transposase-based regional mutagenesis (CTRL-mutagenesis). We demonstrate that CTRL-mutagenesis randomly induces diverse mutations within target regions in murine embryonic stem cells. Comparative analysis of mutants harbouring subtly different mutations within the same region would facilitate the further study of cis-element and microRNA clusters.

A comprehensive review on the functional role of miRNA clusters in cervical cancer.

Cervical cancer (CC) poses a significant health threat in women globally. MicroRNA clusters (MCs), comprising multiple miRNA-encoding genes, are pivotal in gene regulation. Various factors, including circular RNA and DNA methylation, govern MC expression. Dysregulated MC expression correlates strongly with CC development via promoting the acquisition of cancer hallmarks. Certain MCs show promise for diagnosis, prognosis and therapy selection due to their distinct expression patterns in normal, premalignant and tumor tissues. This review explains the regulation and biological functions of MCs and highlights the clinical relevance of abnormal MC expression in CC.

The potential diagnostic accuracy of circulating microRNAs for Alzheimer's disease: A meta-analysis

Background & objectiveAlzheimer's disease (AD) is a progressive and irreversible neurodegenerative disease that seriously affects cognitive ability and has become a key public health problem. Many studies have identified the possibility of peripheral blood microRNA as effective non-invasive biomarkers for AD diagnosis, but the results are inconsistent. Therefore, we carried out this meta-analysis to evaluate the diagnostic accuracy of circulating microRNAs in the diagnosis of AD patients. MethodsWe performed a systematic literature search of the following databases: PubMed, EMBASE, Web of Science, Cochrane Library, Wanfang database and China National Knowledge Infrastructure, updated to March 15, 2021. A random effects model was used to pool the sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio and area under the curve. Meta-regression and subgroup analysis were performed to explore the sources of heterogeneity, and Deeks’ funnel plot was used to assess whether there was publication bias. Results62 studies from 18 articles were included in this meta-analysis. The pooled sensitivity was 0.82 (95% CI: 0.78–0.85), specificity was 0.80 (95% CI: 0.76–0.83), PLR was 4. 1 (95% CI: 3.4–4.9), NLR was 0.23 (95% CI: 0.19–0.28), DOR was 18 (95% CI: 13–25) and AUC was 0.88 (95% CI: 0.84–0.90). Subgroup analysis shows that the microRNA clusters of plasma type performed a better diagnostic accuracy of AD patients. In addition, publication bias was not found. ConclusionsCirculating microRNAs can be used as a promising non-invasive biomarker in AD diagnosis.

Regulation and tumor-suppressive function of the miR-379/miR-656 (C14MC) cluster in cervical cancer.

Cervical cancer (CC) is a key contributor to cancer-related mortality in several countries. The identification of molecular markers and the underlying mechanism may help improve CC management. We studied the regulation and biological function of the chromosome 14 microRNA cluster (C14MC; miR-379/miR-656) in CC. Most C14MC members exhibited considerably lower expression in CC tissues and cell lines in The Cancer Genome Atlas (TCGA) cervical squamous cell carcinoma and endocervical adenocarcinoma patient cohorts. Bisulfite Sanger sequencing revealed hypermethylation of the C14MC promoter in CC tissues and cell lines. 5-aza-2 deoxy cytidine treatment reactivated expression of the C14MC members. We demonstrated that C14MC is a methylation-regulated miRNA cluster via artificial methylation and luciferase reporter assays. C14MC downregulation correlated with poor overall survival and may promote metastasis. C14MC activation via the lentiviral-based CRISPRa approach inhibited growth, proliferation, migration, and invasion; enhanced G2/M arrest; and induced senescence. Post-transcriptional regulatory network analysis of C14MC transcriptomic data revealed enrichment of key cancer-related pathways, such as metabolism, the cell cycle, and phosphatidylinositol 3-kinase (PI3K)-AKT signaling. Reduced cell proliferation, growth, migration, invasion, and senescence correlated with the downregulation of active AKT, MYC, and cyclin E1 (CCNE1) and the overexpression of p16, p21, and p27. We showed that C14MC miRNA activation increases reactive oxygen species (ROS) levels, intracellular Ca2+ levels, and lipid peroxidation rates, and inhibits epithelial-mesenchymal transition (EMT). C14MC targets pyruvate dehydrogenase kinase-3 (PDK3) according to the luciferase reporter assay. PDK3 is overexpressed in CC and is inversely correlated with C14MC. Both miR-494-mimic transfection and C14MC activation inhibited PDK3 expression. Reduced glucose uptake and lactate production, and upregulation of PDK3 upon C14MC activation suggest the potential role of these proteins in metabolic reprogramming. Finally, we showed that C14MC activation may inhibit EMT signaling. Thus, C14MC is a tumor-suppressive and methylation-regulated miRNA cluster in CC. Reactivation of C14MC can be useful in the management of CC.

Identification and Annotation of the 21 Novel Sugar Cane (Saccharum officinarum) MicroRNA Clusters and Their Significant Biological, Molecular and Cellular Targets

Identification and Annotation of the 21 Novel Sugar Cane (Saccharum officinarum) MicroRNA Clusters and Their Significant Biological, Molecular and Cellular Targets

EPCO-45. CELLULAR HIERARCHIES OF ETMR ARE SHAPED BY ONCOGENIC MICRORNAS AND RECEPTOR-LIGAND INTERACTIONS

Abstract Embryonal tumor with multilayered rosettes (ETMR) is a highly aggressive brain tumor that predominantly occurs in children under the age of four years. Most children succumb within 10 months of diagnosis, typically due to invasive tumor growth and therapy-refractory behavior. 95% of ETMR harbor activating genetic alterations of the chromosome 19 microRNA cluster (C19MC). Despite the identification of this presumed oncogenic driving event, its biological consequences remain understudied and targeted therapy options are lacking. Here, we set out to further explore the intracellular heterogeneity of ETMR and shed light onto its oncogenic mechanisms with the goal to identify novel therapeutic targets for this dismal disease. We have compiled and analyzed a cohort of 11 ETMR tumors using single-cell RNA sequencing and multiplexed spatial imaging. We reveal a common, spatially distinct cellular hierarchy, closely resembling physiological brain development. This hierarchy spans a highly proliferative neural stem cell-like population that gives rise to more differentiated neuron-like cells. C19MC, predominantly expressed in the malignant stem-like population, controls a transcriptional network governing stemness and lineage commitment, as resolved by genome-wide analysis of microRNA-mRNA interactions. Targeting specific C19MC members by antisense oligonucleotides results in reduced cell proliferation, suggesting potent new avenues for future therapeutic approaches. Seeking more immediate therapeutic targets, we performed comprehensive cell-cell interaction analyses and reveal that FGF-FGFR and Delta-Notch interactions are important to maintain oncogenic signaling across malignant cell populations. These interactions were successfully targeted using small molecule inhibitors in preclinical models and in one ETMR patient. Taken together, we identify different malignant ETMR cell populations that follow a common developmental hierarchy, explore the regulatory reach of C19MC activation, and identify an oncogenic receptor-ligand interaction network. Targeting this interaction network opens a powerful new rationale for more effective ETMR therapies.

Application of microRNAs in the diagnosis and monitoring of pediatric germ cell tumors: Kazakh experience

GCT is characterized by specific biochemical markers expression, such as human chorionic gonadotropin (hCG) and alpha-fetoprotein (AFP), which are the main tools in the diagnosis and monitoring of GCT treatment. They are expressed in 15–20% of cases of seminoma and in 60–80% of cases of non-seminoma. MicroRNA profiling allows to identify a number of microRNAs that are superior to classical serum tumor markers in the diagnosis of primary tumors, as well as in subsequent monitoring and prediction of recurrence. We analyzed the expression of 9 microRNAs (microRNA clusters 302/367 and 371-373, microRNA375) in the blood serum of 20 children with extracranial GCT at different stages of therapy and showed their usefulness and informativeness in early detection of events. Taking into consideration the high sensitivity and specificity, serum microRNAs 367,371,372,373,302d are of great interest for clinical use in malignant GCT. Significant expression of miR 375-3p was not detected either in malignant GCT or in teratomas.

Expression study of microRNA cluster on chromosome 19 (C19MC) in tumor tissue and serum of breast cancer patient.

Breast cancer (BC) is the most prevalent cancer among females worldwide. Numerous studies suggest that specific RNAs play a crucial role in carcinogenesis. The primate-specific microRNA gene cluster located on the 19q27.3 region of chromosome 19 (C19MC) could potentially regulate tumor cell proliferation, migration, and invasion. The objective of this study was to compare the expression of miRNAs from the C19MC cluster in breast cancer tumor and non-tumor samples, as well as in the serum of individuals affected by BC and healthy individuals. Peripheral blood was collected from 100 BC patients and 100 healthy individuals, and breast cancer samples including tumor and margin tissues were obtained. After RNA extraction, Real-time PCR was employed to investigate the expression of C19MC, specifically mir-515-1, mir-515-2, mir-516-A1, mir-516-A2, mir-516-B1, mir-516-B2, mir-517-A, mir-517-B, mir-517-C, and mir-518-A1, in the serum and tissue of BC patients and tumor margins. Statistical analyses and ROC curves were generated using GraphPad Prism software (v8.04), with a significance level set at p < 0.05. Our findings demonstrate a strong correlation between high expression of all C19MC miRNAs mentioned, except for mir-517-B, mir-517-C and mir- 518 in BC. These miRNAs show potential as notable non-invasive tumor markers. The data obtained from our study support the overall impact of C19MC miRNAs in BC detection and emphasize the potential role of several C19MC members in this process.

Targeting oncogenic microRNAs from the miR-371~373 and miR-302/367 clusters in malignant germ cell tumours causes growth inhibition through cell cycle disruption

BackgroundMiR-371~373 and miR-302/367 cluster over-expression occurs in all malignant germ cell tumours (GCTs), regardless of age (paediatric/adult), site (gonadal/extragonadal), or subtype [seminoma, yolk sac tumour (YST), embryonal carcinoma (EC)]. Six of eight microRNAs from these clusters contain the seed sequence ‘AAGUGC’, determining mRNA targeting. Here we sought to identify the significance of these observations by targeting these microRNAs functionally.MethodsWe targeted miR-371~373 and/or miR-302/367 clusters in malignant GCT cell lines, using CRISPR-Cas9, gapmer primary miR-302/367 transcript inhibition, and peptide nucleic acid (PNA) or locked nucleic acid (LNA)-DNA inhibition targeting miR-302a-d-3p, and undertook relevant functional assays.ResultsMiR-302/367 cluster microRNAs made the largest contribution to AAGUGC seed abundance in malignant GCT cells, regardless of subtype (seminoma/YST/EC). Following the unsuccessful use of CRISPR-Cas9, gapmer, and PNA systems, LNA-DNA-based targeting resulted in growth inhibition in seminoma and YST cells. This was associated with the de-repression of multiple mRNAs targeted by AAGUGC seed-containing microRNAs, with pathway analysis confirming predominant disruption of Rho-GTPase signalling, vesicle organisation/transport, and cell cycle regulation, findings corroborated in clinical samples. Further LNA-DNA inhibitor studies confirmed direct cell cycle effects, with an increase of cells in G0/G1-phase and a decrease in S-phase.ConclusionTargeting of specific miR-371~373 and miR-302/367 microRNAs in malignant GCTs demonstrated their functional significance, with growth inhibition mediated through cell cycle disruption.

Study of MicroRNA Cluster Located on Chromosome X in Serum and Breast Cancer Tissue.

Breast cancer is a prevalent cancer type among women worldwide, with the second highest incidence rate. The objective of this study was to identify a non-invasive biomarker for detecting breast cancer, and to this end, miRNA clusters were investigated as potential candidates. A micro-RNA cluster located on the X chromosome q27.3 region was selected for the study. The research was conducted as a case-control study with a sample size of 100 patients with breast cancer and 100 healthy individuals. Tissue samples from breast cancer tumors and tumor margins were collected from the breast cancer patients. Following RNA extraction and RT-PCR, the expression of miRNA clusters, including miR-506, miR-507, miR-508, miR-509, miR-513, miR-888, miR-891, miR-892-a, and miR-892-b, was analyzed in the serum and breast tissue of the breast cancer patients. The expression of various micro-RNAs in the case and control serums was compared, and it was found that all mentioned micro-RNAs, except mir888-5p and mir-509-3p, exhibited significant and meaningful differences between the patients and control serum groups. These micro-RNAs can be considered as potential tumor markers with a confidence level of P-value = 0.0001. In contrast, mir888-5p and mir-509-3p were considered non-significant. The expression of all micro-RNAs in the tumor margin and BC tumor was significant with a P-value < 0.0001. Based on the ROC curves, all the mentioned microRNAs, except mir-888-5p, mir-513-a-5p, and mir-509-3p, exhibited high sensitivity and specificity and can be considered remarkable non-invasive tumor markers for breast cancer detection.

Integrated multiomics analysis of chromosome 19 miRNA cluster in bladder cancer

With 46 microRNAs (miRNAs) embedded tandemly over a distance of ~100 kb, chromosome 19 microRNA cluster (C19MC) is the largest miRNA cluster in the human genome. The C19MC is transcribed from a long noncoding genomic region and is usually expressed simultaneously at a higher level. Hence, we performed an integrative multiomics data analysis to examine C19MC regulation, expression patterns, and their impact on bladder cancer (BCa). We found that 43 members of C19MC were highly expressed in BCa. However, its co-localization with recurrent copy number variation (CNV) gain was not statistically significant to implicate its upregulation. It has been reported that C19MC expression is regulated by a well-established CpG island situated 17.6 kb upstream of the transcription start site, but we found that CpG probes at this island were hypomethylated, which was not statistically significant in the BCa cohort. In addition, the promoter region of C19MC is strongly regulated by a group of seven transcription factors (NR2F6, SREBF1, TBP, GATA3, GABPB1, ETV4, and ZNF444) and five chromatin modifiers (SMC3, KDMA1, EZH2, RAD21, and CHD7). Interestingly, these 12 genes were found to be overexpressed in BCa patients. Further, C19MC targeted 42 tumor suppressor (TS) genes that were downregulated, of which 15 were significantly correlated with patient survival. Our findings suggest that transcription factors and chromatin modifiers at the promoter region may regulate C19MC overexpression. The upregulated C19MC members, transcription regulators, and TS genes can be further exploited as potential diagnostic and prognostic indicators as well as for therapeutic management of BCa.

The miR-23-27-24 clusters drive lipid-associated macrophage proliferation in obese adipose tissue

Identifying molecular circuits that control adipose tissue macrophage (ATM) function is necessary to understand how ATMs contribute to tissue homeostasis and obesity-induced insulin resistance. In this study, we find that mice with a myeloid-specific knockout of the miR-23-27-24 clusters of microRNAs (miRNAs) gain less weight on a high-fat diet but exhibit worsened glucose and insulin tolerance. Analysis of ATMs from these mice shows selectively reduced numbers and proliferation of a recently reported subset of lipid-associated CD9+Trem2+ ATMs (lipid-associated macrophages [LAMs]). Leveraging the role of miRNAs to control networks of genes, we use RNA sequencing (RNA-seq), functional screens, and biochemical assays to identify candidate target transcripts that regulate proliferation-associated signaling. We determine that miR-23 directly targets the mRNA of Eif4ebp2, a gene that restricts protein synthesis and proliferation in macrophages. Altogether, our study demonstrates that control of proliferation of a protective subset of LAMs by noncoding RNAs contributes to protection against diet-induced obesity metabolic dysfunction.

Viral mimicry protects from infection when you’re expecting

Constitutive IFN-λ expression in the placenta protects the fetus from vertically transmitted viruses, but regulatory mechanisms are unknown. In this issue of Cell Host & Microbe, Wickramage, VanWye etal. demonstrate that Alu RNAs within a microRNA cluster important for placental development mimic viral molecular patterns to mediate protection.

Urinary microRNA profiling in pregnant women identifies placental microRNAs that are candidate biomarkers for monitoring placental health.

MicroRNAs are among the key modulators of placental transcriptome dynamics. This study aimed at comparative profiling of urinary (sampling at 228-230 gestational days, g.days), serum (217-230 g.days), and placental (279-286 g.days) microRNAs in three healthy pregnant women using miRNome sequencing. Placenta showed significant enrichment of microRNAs compared with serum and urine (1174, 341, and 193, respectively; P < 10-5 ). All sample types shared 153 microRNAs, representing candidate biomarkers for placental health. Urine samples contained eight of 56 transcripts from the placenta-specific chromosome 19 microRNA cluster C19MC and one of 91 transcripts (miR-432-5p) from the chromosome 14 cluster C14MC. These data suggest an active filtering at the maternal-fetal interface in passing through only selected microRNAs. Urine represents a valid source to monitor the signature of placenta-expressed microRNAs that are differentially expressed in pregnancy complications.