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Comparative Analysis Of Huntingtin Interaction Partner Database Searches With Dr. Maiuri'S Work - 2018/08/31

Authors: Harding, Rachel; Maiuri, Tamara; Truant, Ray; Arrowsmith, Cheryl; Edwards, Aled;

Comparative Analysis Of Huntingtin Interaction Partner Database Searches With Dr. Maiuri'S Work - 2018/08/31

Abstract

Dr. Harding is the recipient of the Huntington's Disease Society of America Berman Topper Career Development Fellowship which funds and supports this research. This project is funded and supported with generous funding from the Huntington Society of Canada and the CHDI Foundation. The SGC is a registered charity (number 1097737) that receives funds from AbbVie, Bayer Pharma AG, Boehringer Ingelheim, Canada Foundation for Innovation, Eshelman Institute for Innovation, Genome Canada through Ontario Genomics Institute [OGI-055], Innovative Medicines Initiative (EU/EFPIA) [ULTRA-DD grant no. 115766], Janssen, Merck KGaA, Darmstadt, Germany, MSD, Novartis Pharma AG, Ontario Ministry of Research, Innovation and Science (MRIS), Pfizer, São Paulo Research Foundation-FAPESP, Takeda, and Wellcome.

Project - Huntingtin structure-function open lab notebook. Rationale - To compare the ROS-specific huntingtin interaction partners identified by Dr. Tamara Maiuri with those detailed in existing databases. Overview - Previously, different online databases which detail protein interaction partners were searched for huntingtin protein interaction partners. Following completion of this initial analysis, Dr. Tamara Maiuri posted in her open notebook a detailed list of high and medium confidence ROS-specific huntingtin interacting proteins: https://zenodo.org/record/1319540. A comparison of these interactors with those identified in the previously mined databases is briefly detailed.

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Keywords

HD, Interaction, PPI, Huntington's disease, Huntingtin, HTT, Proten-protein interaction

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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