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A transcription factor (TF) inference method that broadly measures TF activity and identifies mechanistically distinct TF networks

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Abstract TF profiler is a method of inferring transcription factor regulatory activity, i.e. when a TF is present and actively regulating transcription, directly directly from nascent sequencing assays such as PRO-seq and GRO-seq. Transcription factors orchestrate transcription and play a critical role in cellular maintenance, identity and response to external stimuli. While ChIP assays have measured DNA localization, they fall short of identifying when and where transcription factors are actively regulating transcription. Our method, on the other hand, uses RNA polymerase activity to infer TF activity across hundreds of data sets and transcription factors. Based on these classifications we identify three distinct classes of transcription factors: ubiquitous factors that play roles in cellular homeostasis, driving basal gene programs across tissues and cell types, tissue specific factors that act almost exclusively at enhancers and are themselves regulated at transcription, and stimulus responsive TFs which are regulated post-transcriptionally but act predominantly at enhancers. TF profiler is broadly applicable, providing regulatory insights on any PRO-seq sample for any transcription factor with a known binding motif.
Title: A transcription factor (TF) inference method that broadly measures TF activity and identifies mechanistically distinct TF networks
Description:
Abstract TF profiler is a method of inferring transcription factor regulatory activity, i.
e.
when a TF is present and actively regulating transcription, directly directly from nascent sequencing assays such as PRO-seq and GRO-seq.
Transcription factors orchestrate transcription and play a critical role in cellular maintenance, identity and response to external stimuli.
While ChIP assays have measured DNA localization, they fall short of identifying when and where transcription factors are actively regulating transcription.
Our method, on the other hand, uses RNA polymerase activity to infer TF activity across hundreds of data sets and transcription factors.
Based on these classifications we identify three distinct classes of transcription factors: ubiquitous factors that play roles in cellular homeostasis, driving basal gene programs across tissues and cell types, tissue specific factors that act almost exclusively at enhancers and are themselves regulated at transcription, and stimulus responsive TFs which are regulated post-transcriptionally but act predominantly at enhancers.
TF profiler is broadly applicable, providing regulatory insights on any PRO-seq sample for any transcription factor with a known binding motif.

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