Gene regulation relies on the precise binding of transcription factors (TFs) at regulatory elements, but simultaneously detecting hundreds of TFs on chromatin is challenging. We developed cFOOT-seq, a cytosine deaminase-based TF footprinting assay, for high-resolution, quantitative genome-wide assessment of TF binding in both open and closed chromatin regions, even with small cell numbers. By utilizing the dsDNA deaminase SsdAtox, cFOOT-seq converts accessible cytosines to uracil while preserving genomic integrity, making it compatible with techniques like ATAC-seq for sensitive and cost-effective detection of TF occupancy at the single-molecule and single-cell level. Our approach enables the delineation of TF footprints, quantification of occupancy, and examination of chromatin influences on TF binding. Notably, cFOOT-seq, combined with FootTrack analysis, enables de novo prediction of TF binding sites and tracking of TF occupancy dynamics. We demonstrate its application in capturing cell type-specific TFs, analyzing TF dynamics during reprogramming, and revealing TF dependencies on chromatin remodelers. Overall, cFOOT-seq represents a robust approach for investigating the genome-wide dynamics of TF occupancy and elucidating the cis-regulatory architecture underlying gene regulation.
Transcription Factors/genetics* ; Humans ; Chromatin/genetics* ; Animals ; Binding Sites ; Mice ; DNA Footprinting/methods*

Objective:To explore the current situation of turnover intention of male nurses in Shanghai and its influencing factors.Methods:From March 2017 and August 2017, this study selected 349 male nurses at all levels of hospitals in Shanghai by snowball sampling to carry out questionnaire survey through internet questionnaire distribution platform. The questionnaire consisted of the General Demographic Characteristics, Turnover Intention Scale (TIS) , Maslach Burnout Inventory General Survey (MBI-GS) and the Organization Commitment Scale.Results:Among 349 male nurses in Shanghai, the score of turnover intention was (15.43±3.48) , 274 of them were with a high level of turnover intention accounting for 78.49%. There were statistical differences in the scores of turnover intention among male nurses with different positional titles and night shifts ( P<0.05) . Multiple linear regression analysis showed that the important influencing factors of turnover intention of male nurses included the emotional burnout, emotional commitment, ideal commitment and economic commitment, in which the emotional burnout was the strongest predictor and the emotional commitment was the strongest protective factor. Conclusions:The turnover intention of male nurses is in the high level. The important influencing factors of turnover intention of male nurses include the job burnout and organizational commitment except for positional titles and night shifts. Nursing managers should pay attention to the cultivation of emotions for hospital and profession among male nurses so as to reduce male nurses' turnover intention and stabilize the male nursing team.