Data for: Unstructured Transcription Factor Interactions Enable Emergent Specificity

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Authors: Abrar A Abidi, Claudia Cattoglio, Natalie N Tang, Vinson B. Fan, Gina M. Dailey, Amir D. Hay, Prasanthi Kunamaneni, Daniel Edward Milkie, Xavier Darzacq, Eric Betzig, Robert Tjian, Thomas G.W. Graham
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Abstract

This repository contains all single-molecule data and FRAP movies required to reproduce the quantitative results reported in the 2026 Science publication by Abidi et al., titled “Unstructured Transcription Factor Interactions Enable Emergent Specificity.” The dataset supports diffusion coefficient distribution analyses, proximity index calculations, single-cell green-to-violet detection comparisons, and FRAP recovery measurements. Data are organized by figure. Each FigureX archive contains the data used to generate the corresponding main figure panels. Supplementary figure archives contain additional biological replicates. FRAP data and custom analysis scripts used in the manuscript are provided in separate archives.

Fields of Study & Subjects

Diffusion and Search Dynamics Genomics and Chromatin Dynamics Gene Regulatory Network Analysis

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
13 March 2026
Language
EN
Document type
Dataset