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Rothbart, S. B.

Publications and source records attributed to Rothbart, S. B..

3 recordsLinked to original sources

UHRF1 suppresses viral mimicry through both DNA methylation-dependent and -independent mechanisms

Some chemotherapeutic agents which cause loss of DNA methylation have been recently shown to induce a state of "viral mimicry" involving upregulation of endogenous retroviruses (ERV) and a subsequent innate immune response. This approach may be useful in combination with immune checkpoint cancer therapies, but relatively little is known about normal cellular control of ERV suppression. The UHRF1 protein can interact with the maintenance methylation protein DNMT1 and is known to play an important role in epigenetic control in the cell. To examine potential roles of this protein in differentiated cells, we first established stable knockdowns in normal human lung fibroblasts. While these knockdown cells showed the expected loss of DNA methylation genome-wide, transcriptional changes were instead dominated by a single response, namely activation of innate immune signalling, consistent with viral mimicry. We confirmed using mechanistic approaches that activation of interferons and interferon-stimulated genes involved in double-stranded RNA detection was crucial to the response. ERVs were demethylated and transcriptionally activated in UHRF1 knockdown cells. As in these normal cell lines, ERV activation and interferon response also occurred following the transient loss of UHRF1 in both melanoma and colon cancer cell lines. Restoring UHRF1 in either transient- or stable knockdown systems abrogated ERV reactivation and interferon response, but without substantial restoration of DNA methylation. Rescued cell lines were hypersensitive to depletion of SETDB1, implicating H3K9me3 as crucial to UHRF1-mediated repression in the absence of DNA methylation. Confirming this, cells rescued with UHRF1 containing point mutations affecting H3K9me3 binding could not mediate silencing of ERV transcription or the innate immune response. Finally, by introducing similar point mutations in the mouse homologue, we could show that this pathway is conserved in mice. Our results therefore implicate UHRF1 as a key regulator of ERV suppression and strengthen the basis for cancer cell hypomethylation therapy.

genomics↗

In silico APC/C substrate discovery reveals cell cycle degradation of chromatin regulators including UHRF1

The Anaphase-Promoting Complex/Cyclosome (APC/C) is an E3 ubiquitin ligase and critical regulator of cell cycle progression. Despite its vital role, it has remained challenging to globally map APC/C substrates. By combining orthogonal features of known substrates, we predicted APC/C substrates in silico. This analysis identified many known substrates and suggested numerous candidates. Unexpectedly, chromatin regulatory proteins are enriched among putative substrates and we show that several chromatin proteins bind APC/C, oscillate during the cell cycle and are degraded following APC/C activation, consistent with being direct APC/C substrates. Additional analysis revealed detailed mechanisms of ubiquitylation for UHRF1, a key chromatin regulator involved in histone ubiquitylation and DNA methylation maintenance. Disrupting UHRF1 degradation at mitotic exit accelerates G1-phase cell cycle progression and perturbs global DNA methylation patterning in the genome. We conclude that APC/C coordinates crosstalk between cell cycle and chromatin regulatory proteins. This has potential consequences in normal cell physiology, where the chromatin environment changes depending on proliferative state, as well as in disease.

cell biology↗

siQ-ChIP:A reverse-engineered quantitative framework for ChIP-sequencing

Chromatin immunoprecipitation followed by next-generation sequencing (ChIP-seq) is a key technique for mapping the distribution and relative abundance of histone posttranslational modifications (PTMs) and chromatin-associated factors across genomes. There is a perceived challenge regarding the ability to quantitatively plot ChIP-seq data, and as such, approaches making use of exogenous additives, or \"spike-ins\" have recently been developed. Relying on the fact that the IP step of ChIP-seq is a competitive binding reaction, we present a quantitative framework for ChIP-seq analysis that circumvents the need to modify standard sample preparation pipelines with spike-in reagents. We also introduce a visualization technique that, when paired with our formal developments, produces a much more rich characterization of sequencing data.

genomics↗