Biology subjects

Schiff, L.

Publications and source records attributed to Schiff, L..

3 recordsLinked to original sources

bioRxiv2023

WRN Inhibition Leads to its Chromatin-Associated Degradation Via the PIAS4-RNF4-p97/VCP Axis

Synthetic lethality, the concept in which the co-occurrence of two genetic events leads to cell death while either single event alone does not, is an attractive strategy for targeted cancer therapies. A recent example of synthetic lethality as a therapeutic paradigm is the observation that cancer cells with high levels of microsatellite instability (MSI-H) are dependent on the Werner (WRN) RecQ helicase for survival. However, the mechanisms that regulate WRN spatiotemporal dynamics are not fully understood. In this study, we used our single molecule tracking (SMT) platform in combination with a recently disclosed WRN inhibitor to gain insights into WRNs dynamic localization within the nuclei of live cancer cells. We observe that WRN inhibition results in the helicase becoming trapped on chromatin, requiring p97/VCP for extraction and shuttling to the proteasome for degradation. Interestingly, this sequence of events resulting in WRN degradation appears to be MSI-H dependent. Using a phenotypic screen, we identify the PIAS4-RNF4 axis as the pathway responsible for WRN degradation and show that co-inhibition of WRN and SUMOylation has an additive toxic effect in MSI-H cells. Taken together, our work elucidates a novel regulatory mechanism for WRN. Gaining a deeper understanding into this regulatory pathway for WRN can aid in the identification of new high value targets for targeted cancer therapies.

molecular biology↗

bioRxiv2020

Deep learning and automated Cell Painting reveal Parkinson's disease-specific signatures in primary patient fibroblasts

Drug discovery for diseases such as Parkinsons disease are impeded by the lack of screenable cellular phenotypes. We present an unbiased phenotypic profiling platform that combines automated cell culture, high-content imaging, Cell Painting, and deep learning. We applied this platform to primary fibroblasts from 91 Parkinsons disease patients and matched healthy controls, creating the largest publicly available Cell Painting image dataset to date at 48 terabytes. We use fixed weights from a convolutional deep neural network trained on ImageNet to generate deep embeddings from each image and train machine learning models to detect morphological disease phenotypes. Our platforms robustness and sensitivity allow the detection of individual-specific variation with high fidelity across batches and plate layouts. Lastly, our models confidently separate LRRK2 and sporadic Parkinsons disease lines from healthy controls (receiver operating characteristic area under curve 0.79 (0.08 standard deviation)), supporting the capacity of this platform for complex disease modeling and drug screening applications.

cell biology↗

bioRxiv2019

The Impact of a Wireless Audio System on Communication in Robotic-Assisted Laparoscopic Surgery: A Prospective Controlled Trial

BackgroundRobotic surgery presents a challenge to effective teamwork and communication in the operating theatre (OR). Our objective was to evaluate the effect of using a wireless audio headset device on communication, efficiency and patient outcome in robotic surgery.\n\nMethods and findingsA prospective controlled trial of team members participating in gynecologic and urologic robotic procedures between January and March 2015. In the first phase, all surgeries were performed without headsets (control), followed by the intervention phase where all team members used the wireless headsets. Noise levels were measured during both phases. After each case, all team members evaluated the quality of communication, performance, teamwork and mental load using a validated 14-point questionnaire graded on a 1-10 scale. Higher overall scores indicated better communication and efficiency. Clinical and surgical data of all patients in the study were retrieved, analyzed and correlated with the survey results.\n\nThe study included 137 procedures, yielding 843 questionnaires with an overall response rate of 89% (843/943). Self-reported communication quality was better in cases where headsets were used (113.0 {+/-} 1.6 vs. 101.4 {+/-} 1.6; p < .001). Use of headsets reduced the percentage of time with a noise level above 70 dB at the console (8.2% {+/-} 0.6 vs. 5.3% {+/-} 0.6, p < .001), but had no significant effect on length of surgery nor postoperative complications.\n\nConclusionsThe use of wireless headset devices improved quality of communication between team members and reduced the peak noise level in the robotic OR.

scientific communication and education↗