Background: ITAM-harboring DAP12 contributes to functional osteoclast formation. Results: Siglec-15 is NFAT2-inducible and functions with DAP12 to promote functional osteoclast development. Conclusion: Siglec-15 links RANKL-RANK-NFAT2 signaling with ITAM-mediated signaling during osteoclast development. Significance: Our results provide new insights into how DAP12 transduces extracellular signals into osteoclasts.

The methodologies for evaluating similarities between gene expression profiles of different perturbagens are the key to understanding mechanisms of actions (MoAs) of unknown compounds and finding new indications for existing drugs. L1000-based next-generation Connectivity Map (CMap) data is more than a thousand-fold scale-up of the CMap pilot dataset. Although several systematic evaluations have been performed individually to assess the accuracy of the methodologies for the CMap pilot study, the performance of these methodologies needs to be re-evaluated for the L1000 data. Here, using the drug–drug similarities from the Drug Repurposing Hub database as a benchmark standard, we evaluated six popular published methods for the prediction performance of drug–drug relationships based on the partial area under the receiver operating characteristic (ROC) curve at false positive rates of 0.001, 0.005 and 0.01 (AUC0.001, AUC0.005 and AUC0.01). The similarity evaluating algorithm called ZhangScore was generally superior to other methods and exhibited the highest accuracy at the gene signature sizes ranging from 10 to 200. Further, we tested these methods with an experimentally derived gene signature related to estrogen in breast cancer cells, and the results confirmed that ZhangScore was more accurate than other methods. Moreover, based on scoring results of ZhangScore for the gene signature of TOP2A knockdown, in addition to well-known TOP2A inhibitors, we identified a number of potential inhibitors and at least two of them were the subject of previous investigation. Our studies provide potential guidelines for researchers to choose the suitable connectivity method. The six connectivity methods used in this report have been implemented in R package (https://github.com/Jasonlinchina/RCSM).

Ophiocordyceps sinensis is well known as a traditional Chinese medicine and has widely been used for over 2,000 years to stimulate immune system, decrease blood pressure and to inhibit tumor growth. While miRNAs are increasingly recognized for their roles in post-transcriptional regulation of gene expression in animals and plants, miRNAs in fungi were less studied until the discovery of microRNA-like RNA (milRNA). High-throughput sequencing and bioinformatics approaches were used to identify conserved and novel milRNAs in O. sinensis. 40 conserved milRNAs were identified, while 23 pre-miRNA candidates encoding 31 novel milRNAs were predicted. Furthermore, the potential target genes of milRNAs in human were predicted and gene ontology analysis was applied to these genes. Enrichment analysis of GO-represented biological process showed that target genes of both conserved and novel milRNAs are involved in development, metabolic and immune processes, indicating the potential roles of milRNAs of O. sinensis in pharmacological effects as health food and traditional Chinese medicine. This study is the first report on genome-wide analysis of milRNAs in O. sinensis and it provides a useful resource to further study the potential roles of milRNAs as active components of O. sinensis in health food or traditional Chinese medicine.

Transcriptional reprogramming contributes to the progression and recurrence of cancer. However, the poorly elucidated mechanisms of transcriptional reprogramming in tumors make the development of effective drugs difficult, and gene expression signature is helpful for connecting genetic information and pharmacologic treatment. So far, there are two gene-expression signature-based high-throughput drug discovery approaches: L1000, which measures the mRNA transcript abundance of 978 “landmark” genes, and high-throughput sequencing-based high-throughput screening (HTS2); they are suitable for anticancer drug discovery by targeting transcriptional reprogramming. L1000 uses ligation-mediated amplification and hybridization to Luminex beads and highlights gene expression changes by detecting bead colors and fluorescence intensity of phycoerythrin signal. HTS2 takes advantage of RNA-mediated oligonucleotide annealing, selection, and ligation, high throughput sequencing, to quantify gene expression changes by directly measuring gene sequences. This article summarizes technological principles and applications of L1000 and HTS2, and discusses their advantages and limitations in anticancer drug discovery.

No abstract