Lambourne Luke, Mattioli Kaia, Santoso Clarissa, Sheynkman Gloria, Inukai Sachi, Kaundal Babita, Berenson Anna, Spirohn-Fitzgerald Kerstin, Bhattacharjee Anukana, Rothman Elisabeth, Shrestha Shaleen, Laval Florent, Carroll Brent S, Plassmeyer Stephen P, Emenecker Ryan J, Yang Zhipeng, Bisht Deepa, Sewell Jared A, Li Guangyuan, Prasad Anisa, Phanor Sabrina, Lane Ryan, Moyer Devlin C, Hunt Toby, Balcha Dawit, Gebbia Marinella, Twizere Jean-Claude, Hao Tong, Holehouse Alex S, Frankish Adam, Riback Josh A, Salomonis Nathan, Calderwood Michael A, Hill David E, Sahni Nidhi, Vidal Marc, Bulyk Martha L, Fuxman Bass Juan I
Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA; Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.
Mol Cell. 2025 Apr 3;85(7):1445-1466.e13. doi: 10.1016/j.molcel.2025.03.004. Epub 2025 Mar 26.
Most human transcription factor (TF) genes encode multiple protein isoforms differing in DNA-binding domains, effector domains, or other protein regions. The global extent to which this results in functional differences between isoforms remains unknown. Here, we systematically compared 693 isoforms of 246 TF genes, assessing DNA binding, protein binding, transcriptional activation, subcellular localization, and condensate formation. Relative to reference isoforms, two-thirds of alternative TF isoforms exhibit differences in one or more molecular activities, which often could not be predicted from sequence. We observed two primary categories of alternative TF isoforms: "rewirers" and "negative regulators," both of which were associated with differentiation and cancer. Our results support a model wherein the relative expression levels of, and interactions involving, TF isoforms add an understudied layer of complexity to gene regulatory networks, demonstrating the importance of isoform-aware characterization of TF functions and providing a rich resource for further studies.
大多数人类转录因子(TF)基因编码多种蛋白质异构体,这些异构体在DNA结合结构域、效应结构域或其他蛋白质区域存在差异。异构体之间在功能上的差异程度究竟如何,目前尚不清楚。在此,我们系统地比较了246个TF基因的693种异构体,评估了它们的DNA结合、蛋白质结合、转录激活、亚细胞定位和凝聚体形成情况。相对于参考异构体,三分之二的TF可变异构体在一种或多种分子活性方面存在差异,而这些差异往往无法从序列中预测出来。我们观察到TF可变异构体主要分为两类:“重新布线者”和“负调控因子”,这两类都与分化和癌症有关。我们的研究结果支持这样一种模型,即TF异构体的相对表达水平及其相互作用为基因调控网络增添了一层尚未得到充分研究的复杂性,这表明对TF功能进行异构体层面的特征描述具有重要意义,并为进一步研究提供了丰富的资源。