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Biology subjects

Schenk, T.

Publications and source records attributed to Schenk, T..

2 recordsLinked to original sources

UV laser crosslinking uncovers novel DNA-binding pattern of CTCF

Eukaryotic genomes are spatially organized to regulate gene expression, and CTCF is a key architectural protein that links chromatin topology to transcriptional control. Accurate mapping of CTCF-DNA interactions is critical for understanding gene regulation. However, conventional formaldehyde-based crosslinking in ChIP-seq biases towards long-lived protein-DNA interactions. We substituted chemical crosslinking with ultraviolet (UV) laser crosslinking (UV ChIP-seq) to capture both stable and dynamic CTCF-DNA interactions in living K-562 cells. UV ChIP-seq identified 38,706 CTCF binding sites, 70% of which were previously undetected by standard formaldehyde (FA) ChIP-seq. These UV-specific sites were enriched in active promoters, enhancers, and short-range chromatin loops, whereas formaldehyde ChIP-seq preferentially detected CTCF at topologically associated domain (TAD) boundaries and long-range loops. CTCF was detected at 85% of active transcription start sites, and when uniquely FA-identified sites were included, over 90% of active promoters were detected. De novo motif analysis also revealed noncanonical CTCF motifs at UV-specific sites, suggesting alternative binding configurations. These results expand the CTCF cistrome, redefine its role in active chromatin, and underscore the need for complementary crosslinking strategies to characterize the full spectrum of transcription factor-DNA interactions.

genomics↗

Predicting E. coli concentrations using limited qPCR deployments at Chicago beaches

Culture-based methods to measure Escherichia coli (E. coli) are used by beach administrators to inform whether bacteria levels represent an elevated risk to swimmers. Since results take up to 12 hours, statistical models are used to forecast bacteria levels in lieu of test results; however they underestimate days with elevated fecal indicator bacteria levels. Quantitative polymerase chain reaction (qPCR) tests return results within 3 hours but are 2 to 5 times more expensive than culture-based methods. This paper presents a prediction model which uses limited deployments of qPCR tested sites with inter-beach correlation to predict when bacteria will exceed acceptable thresholds. The model can be used to inform management decisions on when to warn residents or close beaches due to exposure to the bacteria. Using data from Chicago collected between 2006 and 2016, the model proposed in this paper increased sensitivity from 3.4 percent to 11.2 percent-a 230 percent increase. We find that the correlation between beaches are substantial enough to provide higher levels of precision and sensitivity to predictive models. Thus, limited deployments of qPCR testing can be used to deliver better predictions for beach administrators at lower cost and less complexity.

bioinformatics↗