Background: In vascular endothelial cells, cysteine metabolism by the cystathionine γ lyase (CSE), generates hydrogen sulfide-related sulfane sulfur compounds (HS), that exert their biological actions via cysteine -sulfhydration of target proteins. This study set out to map the "-sulfhydrome" (ie, the spectrum of proteins targeted by HS) in human endothelial cells.
Methods: Liquid chromatography with tandem mass spectrometry was used to identify -sulfhydrated cysteines in endothelial cell proteins and β3 integrin intraprotein disulfide bond rearrangement.
While footprinting analysis of ATAC-seq data can theoretically enable investigation of transcription factor (TF) binding, the lack of a computational tool able to conduct different levels of footprinting analysis has so-far hindered the widespread application of this method. Here we present TOBIAS, a comprehensive, accurate, and fast footprinting framework enabling genome-wide investigation of TF binding dynamics for hundreds of TFs simultaneously. We validate TOBIAS using paired ATAC-seq and ChIP-seq data, and find that TOBIAS outperforms existing methods for bias correction and footprinting.
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