The Minnesota Critical Care Working Group 1: Monitoring and coordinating statewide critical care surge response in the COVID-19 pandemic, March 2020 through July 1, 2021.

Background: In response to the COVID-19 pandemic and as part of the statewide healthcare coalition response the Minnesota Critical Care Working Group (CCWG), composed of Interprofessional leaders from the state's nine largest health systems was established and entrusted to plan and coordinate critical care support for Minnesota from March 2020 through July1, 2021.

Research Question: Can a statewide Critical Care Working Group develop contingency and crisis level surge strategies and indicators in response to the COVID-19 pandemic while evolving into a highly collaborative team?

Study Design And Methods: CCWG members (Intensivists, ethicists, nurses, MDH and MHA leaders) met by audio video conferencing as often as daily assessing COVID and non-COVID hospitalization data, developed surge indicators reflecting contingency versus crisis conditions, and planned responses collaboratively. A foundation of collaboration and teamwork developed which facilitated an effective statewide response.

The Minnesota Critical Care Working Group 2: Crisis Conditions During the COVID-19 Pandemic, July 2021 through March 2022.

Background: The Minnesota Statewide Healthcare Coordination Center requested that the Minnesota Critical Care Working Group (CCWG) and Ethics Working Group (EWG), comprising interprofessional leaders from Minnesota's 9 largest health systems, plan and coordinate critical care operations during the COVID-19 pandemic, including the fall 2021 surge.

Research Question: Can a statewide working group collaboratively analyze real-time evidence to identify crisis conditions and to engage state leadership to implement care processes?

Study Design And Methods: The CCWG and EWG met via videoconferencing during the severe surge of fall 2021 to analyze evidence and plan for potential crisis care conditions. Five sources of evidence informed their actions: group consensus on operating conditions, federal teletracking data, the Medical Operations Coordination Center (MOCC) patient placement data, and 2 surveys created and distributed to hospitals and health care professionals.

PEPerMINT: peptide abundance imputation in mass spectrometry-based proteomics using graph neural networks.

Motivation: Accurate quantitative information about protein abundance is crucial for understanding a biological system and its dynamics. Protein abundance is commonly estimated using label-free, bottom-up mass spectrometry (MS) protocols. Here, proteins are digested into peptides before quantification via MS.

Live imaging of excitable axonal microdomains in ankyrin-G-GFP mice.

The axon initial segment (AIS) constitutes not only the site of action potential initiation, but also a hub for activity-dependent modulation of output generation. Recent studies shedding light on AIS function used predominantly post-hoc approaches since no robust murine live reporters exist. Here, we introduce a reporter line in which the AIS is intrinsically labeled by an ankyrin-G-GFP fusion protein activated by Cre recombinase, tagging the native gene.