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Biology subjects

Mertz, M.

Publications and source records attributed to Mertz, M..

2 recordsLinked to original sources

Visualizing homology search in living cells

Homologous recombination (HR) is a DNA repair process that requires a homologous sequence for the repair of DNA double-stranded breaks. The search for homology is the rate limiting step for HR, but the dynamics of homology search in vivo are currently poorly understood. This is largely due to a lack of tools to visualize homology search in action in living human cells. Here, we show that RAD51 and MND1, two proteins operating in homology search, become visible in long filamentous structures several hours after double-stranded break formation. Using GFP-MND1 we can visualize these filaments in living human cells and find that they are highly dynamic, explore the nuclear space, and can resolve over time. We show that the resolution of these filaments depends on RAD54L, known for its role in RAD51-driven homology search and strand-invasion. In addition, we find that loss of cohesin also inhibits the resolution of these filaments, in accordance with a role for cohesin in HR. Thus, our data suggest that these filaments are visible intermediates of an active DNA repair process, and that MND1-GFP can be used as a tool to study the dynamics of homology search in living human cells.

cell biology↗

Public Funding for AI in Canada 2011-2022: An equity-focused environmental scan

BackgroundIn this new equity-driven landscape, if there is to be system-wide transformation in research funding allocation, indicators of funding allocations need to be explored. This environmental scan aims to understand how research funding for artificial intelligence (AI) has been allocated and distributed in Canada from 2011-2022. Using geographical representations, we describe and map research funding for Canadian researchers by publicly funded granting agencies and provide analyses for AI research spending since 2011 MethodologyWe developed a rapid environmental scan to create a database of all AI funded projects from the following agencies: CIHR, NSERC, SSHRC, CRC, AMS, NFRF and CFI. Using publicly available research funding reporting and agency websites, we identified through title, keyword and project summary screening, AI projects in English and French for the years 2011-2022. Principal FindingsA total of 4112 projects were identified, with the following information for each project recorded: title, year, institution, city, province, total funding, language, funding agency, funding program and primary investigator. A total of $384,933,265.74 million was allocated for publicly funded AI related projects in Canada from 2011-2022. Average funding per project was $93,612.18. The top three provinces with the most funding for all years are Ontario, Quebec, and British Columbia. The top three funding agencies by total amount for all years were NSERC at $155,267,817, CIHR at $136,594,644, and CFI at $58,317,627 ConclusionThis information can assist in accountability and understanding of Canadas publicly funded research allocations, and provide information related to the distribution of such funds, thus informing equity policy strategies.

scientific communication and education↗