Recent advances in epigenetics have enhanced our knowledge of how environmental factors (UV radiation, drugs, infections, etc.) contribute to the development of autoimmune diseases (AID) in genetically predisposed individuals. Studies conducted in monozygotic twins discordant for AID and spontaneous autoimmune animal models have highlighted the importance of DNA methylation changes and histone modifications. Alterations in the epigenetic pattern seem to be cell specific, as CD4+ T cells and B cells are dysregulated in systemic lupus erythematosus, synovial fibroblasts in rheumatoid arthritis and cerebral cells in multiple sclerosis. With regard to lymphocytes, the control of tolerance is affected, leading to the development of autoreactive cells. Other epigenetic processes, such as the newly described miRNAs, and post-translational protein modifications may also be suspected. Altogether, a conceptual revolution is in progress, in AID, with potential new therapeutic strategies targeting epigenetic patterns.

In the last 10 years, several approaches, including microarrays, have been applied to investigate sperm transcript levels. However, success using microarray profiling is highly dependent of the quality of the RNA obtained. Therefore, the development of methods that deliver highly purified and intact RNA is of utmost importance. The three steps used to achieve this goal, purification of spermatozoa, RNA extraction and evaluation of RNA quality, are reviewed. Following that review and preliminary experiments, we processed sperm samples from seven normozoospermic men with a combination of gradient centrifugation and somatic cell lysis. RNA was extracted using the NucleoSpin RNA XS kit (Macherey-Nagel) and its purity checked using the BioAnalyzer. Hybridisation was done on Agilent SurePrint G3 Human GE 8 × 60K V2 microarrays. We identified 900 transcripts among the 1000 high abundance sperm transcripts reported in the literature. These genes are known to be involved in several biological processes, notably spermatogenesis, transcription regulation, cell growth and differentiation, sperm motility and capacitation, fertilisation, and embryogenesis. Therefore, our methodology is highly suitable for sperm transcriptomic analyses and can be used, notably, to compare mRNA profiles between fertile and infertile males.

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