We compiled a catalogue of the protein domains encoded by those fusion proteins and visualized them as a network of interacting nodes, obtaining a global view of the protein domains that are brought together to the same fusion proteins. We also analyzed the reading frame of the fusion transcripts, in order to confirm that the original reading frames of the partner genes were kept in-frame in fusion transcripts in a proportion higher than expected by chance. We have performed an unbiased survey of the literature and of all public data available to us about chromosomal translocations which create fusion proteins in human cancers. Fusions that were not informative for this analysis were excluded, namely those involved in promoter exchange and those in which one of the partner genes did not contribute a recognizable domain to the fusion protein. Therefore, it must be kept in mind that the data presented here apply to chromosomal translocations which generate fusion proteins containing protein domains annotated in Pfam. Our analysis revealed two Fingolimod Src-bcr-Abl inhibitor signatures of functional selection: readingframe compatibilty and non-random co-occurrence of protein domains. Both features might be important determinants of the position of translocation breakpoints in cancer cells. Additionally, our data could help to predict new translocations and to assess the functional relevance of novel gene fusions discovered in hematological and solid tumors. Nevertheless, a direct adverse effect on the ovary were clearly observed as cannabis users were at a higher risk of primary infertility due to anovulation , and even when these women had IVF treatment, they produced poor quality oocytes and lower pregnancy rates compared to non-users. AEA has been demonstrated in ovarian follicular fluids at the time of oocyte retrieval in IVF cycles suggesting that it may play a role in ovarian follicle or oocyte maturity. However, the source of AEA in the follicular fluid and its possible role within the ovary remains poorly understood. Therefore, our study aimed to localise the endocannabinoid system in the ovary and to investigate whether follicular fluid or plasma AEA levels are related to physiologically important ovarian events such as folliculogenesis, the size and maturity of preovulatory follicle, oocyte maturity, and ovulation. The two signatures of functional selection that we have analyzed in fusion transcripts suggest that such forces might be major factors in determining the non-random distribution of translocation breakpoints that is seen in human cancers. In this regard, the widely held view that local sequence factors are responsible for the presence of translocation breakpoints at specific genomic sites relies on the assumption that translocation breakpoints reveal the location of all DSBs generated in those cells. Thus, since translocation breakpoints are non-randomly distributed, the inference is made that DSBs are initially created nonrandomly.