Abstract
Transcription factors (TFs) play a crucial role in deciphering biological information from the DNA of living organisms. Improper regulation of their functions can disrupt cellular physiology and lead to diseases in humans. As one of the key regulatory mechanisms, some TFs control their own expression levels through autogenous regulation. However, identifying autogenous regulation events of TFs has been a tedious task. In this study, we present a straightforward approach that provides a reliable means to identify TF autogenous regulation events. Our method provides a valuable means for understanding the function of this important class of proteins in cells.