MicroRNAs (miRNAs) are a novel class of small noncoding RNAs that modulate the expression of genes at the posttranscriptional level. These small molecules have been shown to be involved in cancer, apoptosis, and cell metabolism. In the present study we provide an informative profile of the expression of miRNAs in primary chronic lymphocytic leukemia (CLL) cells using 2 independent and quantitative methods: miRNA cloning and quantitative real-time–polymerase chain reaction (qRT-PCR) of mature miRNAs. Both approaches show that miR-21 and miR-155 are dramatically overexpressed in patients with CLL, although the corresponding genomic loci are not amplified. miR-150 and miR-92 are also significantly deregulated in patients with CLL. In addition, we detected a marked miR-15a and miR-16 decrease in about 11% of cases. Finally, we identified a set of miRNAs whose expression correlates with biologic parameters of prognostic relevance, particularly with the mutational status of the IgVH genes. In summary, the results of this study offer for the first time a comprehensive and quantitative profile of miRNA expression in CLL and their healthy counterpart, suggesting that miRNAs could play a primary role in the disease itself.

Activation of the T cell–mediated immune response has been associated with changes in the expression of specific microRNAs (miRNAs). However, the role of miRNAs in the development of an effective immune response is just beginning to be explored. This study focuses on the functional role of miR-146a in T lymphocyte–mediated immune response and provides interesting clues on the transcriptional regulation of miR-146a during T-cell activation. We show that miR-146a is low in human naive T cells and is abundantly expressed in human memory T cells; consistently, miR-146a is induced in human primary T lymphocytes upon T-cell receptor (TCR) stimulation. Moreover, we identified NF-kB and c-ETS binding sites as required for the induction of miR-146a transcription upon TCR engagement. Our results demonstrate that several signaling pathways, other than inflammation, are influenced by miR-146a. In particular, we provide experimental evidence that miR-146a modulates activation-induced cell death (AICD), acting as an antiapoptotic factor, and that Fas-associated death domain (FADD) is a target of miR-146a. Furthermore, miR-146a enforced expression impairs both activator protein 1 (AP-1) activity and interleukin-2 (IL-2) production induced by TCR engagement, thus suggesting a role of this miRNA in the modulation of adaptive immunity.

The analysis of microbiota composition in humans, animals, and built environments is important because of emerging roles and applications in a broad range of disease and ecological phenotypes. Next Generation Sequencing is the current method of choice to characterize microbial community composition. The taxonomic profile of a microbial community can be obtained either by shotgun analysis of random DNA fragments or through 16S ribosomal RNA gene (rDNA) amplicon sequencing. It has been previously shown that the 16S rDNA amplicon sequencing approach yields quantitatively and qualitatively different results compared to shotgun metagenomics when the two techniques are used to assess microbial community composition on the same samples. However, most of such comparisons were either based on the recovery of 16S rDNA sequences in the shotgun metagenomics data or limited to a single microbiome or synthetic samples. Direct comparison of shotgun metagenomics and 16S rDNA amplicon sequencing on the same samples was performed only once in the recent literature, suggesting that the two methods yield comparable results. Here, we set out to compare the outcome of these two alternative approaches to the microbiome characterization in human gut microbiomes from stool samples. To this end, we processed six different samples with both techniques. We report here that shotgun next generation sequencing metagenomics allows much deeper characterization of the microbiome complexity, allowing identification of a larger number of species for each sample, compared to 16S rDNA amplicon sequencing. Further comparative studies in independent samples are called for.