Bioinformatics tools are imperative for the in depth analysis of heterogeneous high-throughput data. Most of the software tools are developed by specific laboratories or groups or companies wherein they are designed to perform the required analysis for the group. However, such software tools may fail to capture “what the community needs in a tool”. Here, we describe a novel community-driven approach to build a comprehensive functional enrichment analysis tool. Using the existing FunRich tool as a template, we invited researchers to request additional features and/or changes. Remarkably, with the enthusiastic participation of the community, we were able to implement 90% of the requested features. FunRich enables plugin for extracellular vesicles wherein users can download and analyse data from Vesiclepedia database. By involving researchers early through community needs software development, we believe that comprehensive analysis tools can be developed in various scientific disciplines.

Exosomes are vesicles released from cells by fusion of multivesicular bodies (MVBs) with the plasma membrane. This study aimed to investigate whether the phosphoinositide kinase PIKfyve affects this process. Our results show that in PC-3 cells inhibition of PIKfyve by apilimod or depletion by siRNA increased the secretion of the exosomal fraction. Moreover, quantitative electron microscopy analysis showed that cells treated with apilimod contained more MVBs per cell and more intraluminal vesicles per MVB. Interestingly, mass spectrometry analysis revealed a considerable enrichment of autophagy-related proteins (NBR1, p62, LC3, WIPI2) in exosomal fractions released by apilimod-treated cells, a result that was confirmed by immunoblotting. When the exosome preparations were investigated by electron microscopy a small population of p62-labelled electron dense structures was observed together with CD63-containing exosomes. The p62-positive structures were found in less dense fractions than exosomes in density gradients. Inside the cells, p62 and CD63 were found in the same MVB-like organelles. Finally, both the degradation of EGF and long-lived proteins were shown to be reduced by apilimod. In conclusion, inhibition of PIKfyve increases secretion of exosomes and induces secretory autophagy, showing that these pathways are closely linked. We suggest this is due to impaired fusion of lysosomes with both MVBs and autophagosomes, and possibly increased fusion of MVBs with autophagosomes, and that the cells respond by secreting the content of these organelles to maintain cellular homeostasis.

Exosomes have recently appeared as a novel source of non-invasive cancer biomarkers since tumour-specific molecules can be found in exosomes isolated from biological fluids. We have here investigated the proteome of urinary exosomes by using mass spectrometry to identify proteins differentially expressed in prostate cancer patients compared to healthy male controls. In total, 15 control and 16 prostate cancer samples of urinary exosomes were analyzed. Importantly, 246 proteins were differentially expressed in the two groups. The majority of these proteins (221) were up-regulated in exosomes from prostate cancer patients. These proteins were analyzed according to specific criteria to create a focus list that contained 37 proteins. At 100% specificity, 17 of these proteins displayed individual sensitivities above 60%. Even though several of these proteins showed high sensitivity and specificity for prostate cancer as individual biomarkers, combining them in a multi-panel test has the potential for full differentiation of prostate cancer from non-disease controls. The highest sensitivity, 94%, was observed for transmembrane protein 256 (TM256; chromosome 17 open reading frame 61). LAMTOR proteins were also distinctly enriched with very high specificity for patient samples. TM256 and LAMTOR1 could be used to augment the sensitivity to 100%. Other prominent proteins were V-type proton ATPase 16 kDa proteolipid subunit (VATL), adipogenesis regulatory factor (ADIRF), and several Rab-class members and proteasomal proteins. In conclusion, this study clearly shows the potential of using urinary exosomes in the diagnosis and clinical management of prostate cancer.