Nucleoporins cooperate with Polycomb silencers to promote transcriptional repression and repair at DNA double strand breaks.

DNA Double-strand breaks (DSBs) are harmful lesions and major sources of genomic instability. Studies have suggested that DSBs induce local transcriptional silencing that consequently promotes genomic stability. Several factors have been proposed to actively participate in this process, including ATM and Polycomb repressive complex 1 (PRC1). Here we found that disrupting PRC1 clustering disrupts DSB-induced gene silencing. Interactome analysis of PHC2, a PRC1 subunit that promotes the formation of the Polycomb body, found several nucleoporins that constitute the Nuclear Pore Complex (NPC). Similar to PHC2, depleting the nucleoporins also disrupted the DSB-induced gene silencing. We found that some of these nucleoporins, such as NUP107 and NUP43, which are members of the Y-complex of NPC, localize to DSB sites. These nucleoporin-enriched DSBs were distant from the nuclear periphery. The presence of nucleoporins and PHC2 at DSB regions were inter-dependent, suggesting that they act cooperatively in the DSB-induced gene silencing. We further found two structural components within NUP107 to be necessary for the transcriptional repression at DSBs: ATM/ATR-mediated phosphorylation at Serine37 residue within the N-terminal disordered tail, and the NUP133-binding surface at the C-terminus. These results provide a new functional interplay among nucleoporins, ATM and the Polycomb proteins in the DSB metabolism, and underscore their emerging roles in genome stability maintenance. *Hongseon Song, Yubin Bae, Sangin Kim, and Dante Deascanis contributed equally to this work.

A CRISPR-enhanced metagenomic NGS test to improve pandemic preparedness.

The lack of preparedness for detecting and responding to the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pathogen (i.e., COVID-19) has caused enormous harm to public health and the economy. Testing strategies deployed on a population scale at day zero, i.e., the time of the first reported case, would be of significant value. Next-generation sequencing (NGS) has such capabilities; however, it has limited detection sensitivity for low-copy-number pathogens. Here, we leverage the CRISPR-Cas9 system to effectively remove abundant sequences not contributing to pathogen detection and show that NGS detection sensitivity of SARS-CoV-2 approaches that of RT-qPCR. The resulting sequence data can also be used for variant strain typing, co-infection detection, and individual human host response assessment, all in a single molecular and analysis workflow. This NGS work flow is pathogen agnostic and, therefore, has the potential to transform how large-scale pandemic response and focused clinical infectious disease testing are pursued in the future.