GET: a foundation model of transcription across human cell types.

Transcriptional regulation, involving the complex interplay between regulatory sequences and proteins, directs all biological processes. Computational models of transcription lack generalizability to accurately extrapolate in unseen cell types and conditions. Here, we introduce GET, an interpretable foundation model designed to uncover regulatory grammars across 213 human fetal and adult cell types. Relying exclusively on chromatin accessibility data and sequence information, GET achieves experimental-level accuracy in predicting gene expression even in previously unseen cell types. GET showcases remarkable adaptability across new sequencing platforms and assays, enabling regulatory inference across a broad range of cell types and conditions, and uncovering universal and cell type specific transcription factor interaction networks. We evaluated its performance on prediction of regulatory activity, inference of regulatory elements and regulators, and identification of physical interactions between transcription factors. Specifically, we show GET outperforms current models in predicting lentivirus-based massive parallel reporter assay readout with reduced input data. In fetal erythroblasts, we identify distal (>1Mbp) regulatory regions that were missed by previous models. In B cells, we identified a lymphocyte-specific transcription factor-transcription factor interaction that explains the functional significance of a leukemia-risk predisposing germline mutation. In sum, we provide a generalizable and accurate model for transcription together with catalogs of gene regulation and transcription factor interactions, all with cell type specificity.

Romidepsin and Afatinib Abrogate Jak-Signal Transducer and Activator of Transcription Signaling and Elicit Synergistic Antitumor Effects in Cutaneous T-Cell Lymphoma.

Cutaneous T-cell lymphomas are mature lymphoid neoplasias resulting from the malignant transformation of skin-resident T-cells. A distinctive clinical feature of cutaneous T-cell lymphomas is their sensitivity to treatment with histone deacetylase inhibitors. However, responses to histone deacetylase inhibitor therapy are universally transient and noncurative, highlighting the need for effective and durable drug combinations. In this study, we demonstrate that the combination of romidepsin, a selective class I histone deacetylase inhibitor, with afatinib, an EGFR family inhibitor, induces strongly synergistic antitumor effects in cutaneous T-cell lymphoma models in vitro and in vivo through abrogation of Jak-signal transducer and activator of transcription signaling. These results support a previously unrecognized potential role for histone deacetylase inhibitor plus afatinib combination in the treatment of cutaneous T-cell lymphomas.