GeneCore for preparation of the Methyl-seq libraries. Author contributionsA.Z. contributed to the design, execution and analysis of most experiments. T.A. helped established the IP conditions and performed the mass-spectrometry analysis under the guidance of J.R. and R.C.A. R.B. and Y.K. performed the bioinformatic analysis of the Methyl-seq data or sRNA-seq as well as RNA-seq data, respectively. T.S. prepared the sRNA-seq libraries and together with Y.K. the RNA-seq libraries of P20 testes. M.H and A.C. performed the homology alignment of the SPOC and TFIIS-M domains. L.V. performed the IF staining of HA-MIWI2 and generated the gonocytes microarray dataset. Y.R.P. performed the phylogenetic analysis under guidance of A.S. D.O'C. conceived and supervised this study. D.O'C. and A.Z wrote the final version of the manuscript.

The PIWI protein MIWI2 and its associated PIWI-interacting RNAs (piRNAs) instruct DNA methylation of young active transposable elements (TEs) in the male germline. piRNAs are proposed to recruit MIWI2 to the transcriptionally active TE loci by base pairing to nascent transcripts, however the downstream mechanisms and effector proteins utilized by MIWI2 in directing de novo TE methylation remain incompletely understood. Here, we show that MIWI2 associates with TEX15 in foetal gonocytes. TEX15 is predominantly a nuclear protein that is not required for piRNA biogenesis but is essential for piRNA-directed TE de novo methylation and silencing. In summary, TEX15 is an essential executor of mammalian piRNAdirected DNA methylation.

Quantitative cross-linking/mass spectrometry (QCLMS) is an emerging approach to study conformational changes of proteins and multi-subunit complexes. Distinguishing protein conformations requires reproducibly identifying and quantifying cross-linked peptides. Here we analyzed the variation between multiple cross-linking reactions using bis[sulfosuccinimidyl] suberate (BS3)-cross-linked human serum albumin (HSA) and evaluated how reproducible cross-linked peptides can be identified and quantified by LC-MS analysis. To make QCLMS accessible to a broader research community, we developed a workflow that integrates the established software tools MaxQuant for spectra preprocessing, Xi for cross-linked peptide identification, and finally Skyline for quantification (MS1 filtering). Out of the 221 unique residue pairs identified in our sample, 124 were subsequently quantified across 10 analyses with coefficient of variation (CV) values of 14% (injection replica) and 32% (reaction replica). Thus our results demonstrate that the reproducibility of QCLMS is in line with the reproducibility of general quantitative proteomics and we establish a robust workflow for MS1-based quantitation of cross-linked peptides. Graphical Abstractᅟ