Proteomic analysis of human transcription factors Disease correlation of 19 TFs and 4 well‐studied FOX family members, based on their GO annotations. Proteomic.

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Proteomic analysis of human transcription factors Disease correlation of 19 TFs and 4 well‐studied FOX family members, based on their GO annotations. Proteomic analysis of human transcription factors Disease correlation of 19 TFs and 4 well‐studied FOX family members, based on their GO annotations. Each colour indicates one disease. The size of each coloured pie indicates the relative ratio of –log (P‐value) of GO annotations in the corresponding disease. Pathway correlation and structural superclasses of TFs. Each coloured area indicates one superfamily. Schematic diagram showing the major steps involved in TAP/MS screening and data analysis of human TFs and snapshot for each part of the data. Fifty‐six transcription factors, together with 70 unrelated control proteins and control vector, were constructed into a vector harbouring a C‐terminal SFB‐tag through gateway technology. 293T cells stably expressing each bait protein were generated by stable transfection and puromycin selection. Protein was collected and separated into two fractions by a two‐step lysis process. Through the standard tandem affinity purification steps, purified protein complexes were identified by mass spectrometry analysis, and final interacting proteins were generated by SAINT algorithm‐based filtration. The data were subjected to prey functional categories analysis, interaction validation and function validation. Snapshots of data generated by each step were shown aside. Xu Li et al. Mol Syst Biol 2015;11:775 © as stated in the article, figure or figure legend