Long non-coding RNAs (lncRNAs) play critical roles in diverse cellular processes; however, their involvement in many critical aspects of the immune response including the interferon (IFN) response remains poorly understood. To address this gap, we compared the global gene expression pattern of primary human hepatocytes before and at three time points after treatment with IFN-α. Among ∼200 IFN-induced lncRNAs, one transcript showed ∼100-fold induction. This RNA, which we named lncRNA-CMPK2, was a spliced, polyadenylated nuclear transcript that was induced by IFN in diverse cell types from human and mouse. Similar to protein-coding IFN-stimulated genes (ISGs), its induction was dependent on JAK-STAT signaling. Intriguingly, knockdown of lncRNA-CMPK2 resulted in a marked reduction in HCV replication in IFN-stimulated hepatocytes, suggesting that it could affect the antiviral role of IFN. We could show that lncRNA-CMPK2 knockdown resulted in upregulation of several protein-coding antiviral ISGs. The observed upregulation was caused by an increase in both basal and IFN-stimulated transcription, consistent with loss of transcriptional inhibition in knockdown cells. These results indicate that the IFN response involves a lncRNA-mediated negative regulatory mechanism. lncRNA-CMPK2 was strongly upregulated in a subset of HCV-infected human livers, suggesting a role in modulation of the IFN response in vivo.

It has long been proposed that the gut microbiome contributes to breast carcinogenesis by modifying systemic estrogen levels. This is often cited as a possible mechanism linking breast cancer and high-fat, low-fiber diets as well as antibiotic exposure, associations previously identified in population-based studies. More recently, a distinct microbiome has been identified within breast milk and tissue, but few studies have characterized differences in the breast tissue microbiota of patients with and without cancer, and none have investigated distant body-site microbiomes outside of the gut. We hypothesize that cancerous breast tissue is associated with a microbiomic profile distinct from that of benign breast tissue, and that microbiomes of more distant sites, the oral cavity and urinary tract, will reflect dysbiosis as well. Fifty-seven women with invasive breast cancer undergoing mastectomy and 21 healthy women undergoing cosmetic breast surgery were enrolled. The bacterial 16S rRNA gene was amplified from urine, oral rinse and surgically collected breast tissue, sequenced, and processed through a QIIME-based bioinformatics pipeline. Cancer patient breast tissue microbiomes clustered significantly differently from non-cancer patients (p=0.03), largely driven by decreased relative abundance of Methylobacterium in cancer patients (median 0.10 vs. 0.24, p=0.03). There were no significant differences in oral rinse samples. Differences in urinary microbiomes were largely explained by menopausal status, with peri/postmenopausal women showing decreased levels of Lactobacillus. Independent of menopausal status, however, cancer patients had increased levels of gram-positive organisms including Corynebacterium (p<0.01), Staphylococcus (p=0.02), Actinomyces (p<0.01), and Propionibacteriaceae (p<0.01). Our observations suggest that the local breast microbiota differ in patients with and without breast cancer. Cancer patient urinary microbiomes were characterized by increased levels of gram-positive organisms in this study, but need to be further studied in larger cohorts.

Recent transcriptome analyses have indicated that a large part of mammalian genomes are transcribed into long non-proteincoding RNAs (lncRNAs). However, only a very small fraction of them have been individually studied, and whether the majority of lncRNAs found in large-scale studies have a cellular role is debated. To gain insight into the sequence features and genomic architecture of the subset of lncRNAs that have been proven to be functional, we created a database containing studied lncRNAs manually culled from the literature along with a parallel database containing all annotated protein-coding human RNAs. The Functional lncRNA Database, which contains 204 lncRNAs and their splicing variants, is available at valadkhanlab.org/database. Analysis of the lncRNAs and their comparison to protein-coding transcripts revealed sequence features including paucity of introns and low GC content in lncRNAs, which could explain several biological characteristics of these transcripts, such as their nuclear localization and low expression level. The predicted ORFs in lncRNAs have poor start codon and ORF contexts, which would lead to activation of the nonsense-mediated decay pathways and thus make it unlikely for most lncRNAs to code for even short peptides. Interestingly, our analyses revealed significant similarities between the lncRNAs and the 39 untranslated regions (39 UTRs) in protein-coding RNAs in structural features and sequence composition. The presence of these intriguing parallels between the lncRNAs and 39 UTRs, which constitute the two main components of the RNA-mediated cellular regulatory system, indicates that highly similar evolutionary constraints govern the function of regulatory RNA sequences in the cell.

The ubiquitous presence of long noncoding RNAs (lncRNAs) in eukaryotes points to the importance of understanding how their sequences impact function. As many lncRNAs regulate nuclear events and thus must localize to nuclei, we analyzed the sequence requirements for nuclear localization in an intergenic lncRNA named BORG (BMP2-OP1-responsive gene), which is both spliced and polyadenylated but is strictly localized in nuclei. Subcellular localization of BORG was not dependent on the context or level of its expression or decay but rather depended on the sequence of the mature, spliced transcript. Mutational analyses indicated that nuclear localization of BORG was mediated through a novel RNA motif consisting of the pentamer sequence AGCCC with sequence restrictions at positions ؊8 (T or A) and ؊3 (G or C) relative to the first nucleotide of the pentamer. Mutation of the motif to a scrambled sequence resulted in complete loss of nuclear localization, while addition of even a single copy of the motif to a cytoplasmically localized RNA was sufficient to impart nuclear localization. Further, the presence of this motif in other cellular RNAs showed a direct correlation with nuclear localization, suggesting that the motif may act as a general nuclear localization signal for cellular RNAs.