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Nitrite (NO2 −) is an intrinsic signaling molecule that is reduced to NO during ischemia and limits apoptosis and cytotoxicity at reperfusion in the mammalian heart, liver, and brain. Although the mechanism of nitrite-mediated cytoprotection is unknown, NO is a mediator of the ischemic preconditioning cell-survival program. Analogous to the temporally distinct acute and delayed ischemic preconditioning cytoprotective phenotypes, we report that both acute and delayed (24 h before ischemia) exposure to physiological concentrations of nitrite, given both systemically or orally, potently limits cardiac and hepatic reperfusion injury. This cytoprotection is associated with increases in mitochondrial oxidative phosphorylation. Remarkably, isolated mitochondria subjected to 30 min of anoxia followed by reoxygenation were directly protected by nitrite administered both in vitro during anoxia or in vivo 24 h before mitochondrial isolation. Mechanistically, nitrite dose-dependently modifies and inhibits complex I by posttranslational S-nitrosation; this dampens electron transfer and effectively reduces reperfusion reactive oxygen species generation and ameliorates oxidative inactivation of complexes II–IV and aconitase, thus preventing mitochondrial permeability transition pore opening and cytochrome c release. These data suggest that nitrite dynamically modulates mitochondrial resilience to reperfusion injury and may represent an effector of the cell-survival program of ischemic preconditioning and the Mediterranean diet.

Rationale Mitochondria are semi-autonomous cellular organelles with their own genome, which not only supply energy, but also participate in cell death pathways. MicroRNAs (miRNAs) are usually 19–25 nt long, non-coding RNAs, involved in post-transcriptional gene regulation by binding to the 3′-untranslated regions (3′-UTRs) of target mRNA, which impact on diverse cellular processes. Objective To determine if nuclear miRNAs translocate into the mitochondria and regulate mitochondrial function with possible pathophysiological implications in cardiac myocytes. Methods and Results We find that miR-181c is encoded in the nucleus, assembled in the cytoplasm, and finally translocated into the mitochondria of cardiac myocytes. Immunoprecipitation of Argonaute 2 from the mitochondrial fraction indicates binding of cytochrome c oxidase subunit 1 (mt-COX1) mRNA from the mitochondrial genome with miR-181c. Also, a luciferase reporter construct shows that mi-181c binds to the 3′UTR of mt-COX1. To study whether miR-181c regulates mt-COX1, we overexpressed precursor miR-181c (or a scrambled sequence) in primary cultures of neonatal rat ventricular myocytes (NRVMs). Overexpression of miR-181c did not change mt-COX1 mRNA but significantly decreased mt-COX1 protein, suggesting that miR-181c is primarily a translational regulator of mt-COX1. In addition to altering mt-COX1, over-expression of miR-181c results in increased mt-COX2 mRNA and protein content, with an increase in both mitochondrial respiration and ROS generation in NRVMs. Thus, our data show for the first time that miR-181c can enter and target the mitochondrial genome, ultimately causing electron transport chain complex IV remodeling and mitochondrial dysfunction. Conclusions Nuclear miR-181c translocates into the mitochondria and regulates mitochondrial genome expression. This unique observation may open a new dimension to our understanding of mitochondrial dynamics and the role of miRNA in mitochondrial dysfunction.

High-throughput RNA sequencing (RNA-seq) dramatically expands the potential for novel genomics discoveries, but the wide variety of platforms, protocols and performance has created the need for comprehensive reference data. Here we describe the Association of Biomolecular Resource Facilities next-generation sequencing (ABRF-NGS) study on RNA-seq. We tested replicate experiments across 15 laboratory sites using reference RNA standards to test four protocols (polyA-selected, ribo-depleted, size-selected and degraded) on five sequencing platforms (Illumina HiSeq, Life Technologies’ PGM and Proton, Pacific Biosciences RS and Roche’s 454). The results show high intra-platform and inter-platform concordance for expression measures across the deep-count platforms, but highly variable efficiency and cost for splice junction and variant detection between all platforms. These data also demonstrate that ribosomal RNA depletion can both enable effective analysis of degraded RNA samples and be readily compared to polyA-enriched fractions. This study provides a broad foundation for cross-platform standardization, evaluation and improvement of RNA-seq.

BackgroundIdentification of single nucleotide polymorphisms (SNPs) associated with gene expression levels, known as expression quantitative trait loci (eQTLs), may improve understanding of the functional role of phenotype-associated SNPs in genome-wide association studies (GWAS). The small sample sizes of some previous eQTL studies have limited their statistical power. We conducted an eQTL investigation of microarray-based gene and exon expression levels in whole blood in a cohort of 5257 individuals, exceeding the single cohort size of previous studies by more than a factor of 2.ResultsWe detected over 19,000 independent lead cis-eQTLs and over 6000 independent lead trans-eQTLs, targeting over 10,000 gene targets (eGenes), with a false discovery rate (FDR) < 5%. Of previously published significant GWAS SNPs, 48% are identified to be significant eQTLs in our study. Some trans-eQTLs point toward novel mechanistic explanations for the association of the SNP with the GWAS-related phenotype. We also identify 59 distinct blocks or clusters of trans-eQTLs, each targeting the expression of sets of six to 229 distinct trans-eGenes. Ten of these sets of target genes are significantly enriched for microRNA targets (FDR < 5%). Many of these clusters are associated in GWAS with multiple phenotypes.ConclusionsThese findings provide insights into the molecular regulatory patterns involved in human physiology and pathophysiology. We illustrate the value of our eQTL database in the context of a recent GWAS meta-analysis of coronary artery disease and provide a list of targeted eGenes for 21 of 58 GWAS loci.Electronic supplementary materialThe online version of this article (doi:10.1186/s13059-016-1142-6) contains supplementary material, which is available to authorized users.

In sickle cell disease, deoxygenation of intra-erythrocytic hemoglobin S leads to hemoglobin polymerization, erythrocyte rigidity, hemolysis, and microvascular occlusion. Ischemia-reperfusion injury, plasma hemoglobin-mediated nitric oxide consumption, and free radical generation activate systemic inflammatory responses. To characterize the role of circulating leukocytes in sickle cell pathogenesis we performed global transcriptional analysis of blood mononuclear cells from 27 patients in steady-state sickle cell disease (

1,25-Dihydroxyvitamin D3 [1,25(OH)2D3], the active metabolite of vitamin D, is a potent inhibitor of breast cancer cell growth. Although it is evident that 1,25(OH)2D3 inhibits growth of both estrogen receptor alpha-positive [ER alpha(+)] and -negative [ER alpha(-)] breast cancer cells, the cellular pathways contributing to these effects remain unclear. We studied the gene expression patterns in ER alpha(+) MCF-7 and ER alpha(-) MDA MB 231 human breast cancer cells following 1,25(OH)2D3 treatment, using cDNA expression arrays. Both cell lines showed a significant induction of the 1,25(OH)2D3-dependent 24-hydroxylase gene, a marker for the actions of 1,25(OH)2D3. In MCF-7 cells, 51 genes were up-regulated and 19 genes were down-regulated. The up-regulated genes encoded cell adhesion molecules, growth factors/modulators, steroid receptors/co-activators, cytokines, kinases and transcription factors. Of the up-regulated genes, 40% were implicated in cell cycle regulation and apoptosis and included cyclin G1 and cyclin I, p21-activated kinase-1 (PAK-1), p53, retinoblastoma like-2 [Rb2 (p130)], insulin-like growth factor binding protein-5 (IGFBP5) and caspases. Among the down-regulated genes were ER alpha, growth factors, cytokines and several kinases. Some of these results were confirmed by real-time PCR. In MDA MB 231 cells, 20 genes were up-regulated and 13 genes were down-regulated. Very few genes directly implicated in cell cycle regulation were up-regulated. The matrix metalloproteinases formed a major class of genes that were down-regulated in the MDA MB 231 cells. Seven genes were commonly up-regulated in both cell lines and these included transforming growth factor (TGFbeta2) and Rb2 (p130). In conclusion, the gene expression profiles of the two cell lines studied were different with a few overlapping genes suggesting that different cellular pathways might be regulated by 1,25(OH)2D3 to exert its growth inhibitory effects in ER alpha(+) and ER alpha(-) cells.

Objective Genetic approaches have identified numerous loci associated with coronary heart disease (CHD). The molecular mechanisms underlying CHD gene-disease associations, however, remain unclear. We hypothesized that genetic variants with both strong and subtle effects drive gene subnetworks that in turn affect CHD. Approach and Results We surveyed CHD-associated molecular interactions by constructing coexpression networks using whole blood gene expression profiles from 188 CHD cases and 188 age- and sex-matched controls. 24 coexpression modules were identified including one case-specific and one control-specific differential module (DM). The DMs were enriched for genes involved in B-cell activation, immune response, and ion transport. By integrating the DMs with altered gene expression associated SNPs (eSNPs) and with results of GWAS of CHD and its risk factors, the control-specific DM was implicated as CHD-causal based on its significant enrichment for both CHD and lipid eSNPs. This causal DM was further integrated with tissue-specific Bayesian networks and protein-protein interaction networks to identify regulatory key driver (KD) genes. Multi-tissue KDs (SPIB and TNFRSF13C) and tissue-specific KDs (e.g. EBF1) were identified. Conclusions Our network-driven integrative analysis not only identified CHD-related genes, but also defined network structure that sheds light on the molecular interactions of genes associated with CHD risk.