ABSTRACT
The East Toronto Health Partners (ETHP) include more than 50 organizations working collaboratively to create an integrated system of care in the east end of Toronto. This existing partnership proved invaluable as a platform for a rapid, coordinated local response to the COVID-19 pandemic. Months after the first wave of the pandemic began, with the daily numbers of COVID-19 cases finally starting to decline, leaders from ETHP provided preliminary reflections on two critical questions: (1) How were existing integration efforts leveraged to mobilize a response during the COVID-19 crisis? and (2) How can the response to the initial wave of COVID-19 be leveraged to further accelerate integration and better address subsequent waves and system improvements once the pandemic abates?
Subject(s)
COVID-19/therapy , Community Participation , Delivery of Health Care, Integrated/organization & administration , Delivery of Health Care/organization & administration , Health Policy , COVID-19/epidemiology , COVID-19/mortality , Community Participation/methods , Decision Making, Organizational , Delivery of Health Care/methods , Delivery of Health Care, Integrated/methods , Global Health , Humans , Ontario , Organizational Innovation , Primary Health Care/organization & administration , Public Health Administration/methods , Resource Allocation/methods , Resource Allocation/organization & administrationABSTRACT
Protein-protein interactions are important to understanding cell functions; however, our theoretical understanding is limited. There is a general discontinuity between the well-accepted physical and chemical forces that drive protein-protein interactions and the large collections of identified protein-protein interactions in various databases. Minimotifs are short functional peptide sequences that provide a basis to bridge this gap in knowledge. However, there is no systematic way to study minimotifs in the context of protein-protein interactions or vice versa. Here we have engineered a set of algorithms that can be used to identify minimotifs in known protein-protein interactions and implemented this for use by scientists in Minimotif Miner. By globally testing these algorithms on verified data and on 100 individual proteins as test cases, we demonstrate the utility of these new computation tools. This tool also can be used to reduce false-positive predictions in the discovery of novel minimotifs. The statistical significance of these algorithms is demonstrated by an ROC analysis (P = 0.001).
Subject(s)
Databases, Protein , Models, Molecular , Proteins/chemistry , Algorithms , Amino Acid Sequence , Animals , Computer Simulation , GRB2 Adaptor Protein/chemistry , Humans , Insect Proteins/chemistry , Mice , Protein Binding , Protein Interaction Domains and Motifs , Protein Interaction Mapping , Rats , SoftwareABSTRACT
The serglycin proteoglycan is expressed in most hematopoietic cells and is packaged into secretory vesicles for constitutive or regulated secretion. We have now shown serglycin mRNA expression in undifferentiated murine embryonic stem (ES) cells and in embryoid bodies, and synthesis and secretion in undifferentiated ES cells. Serglycin was localized to ES cell cytoplasm by immunostaining. Serglycin mRNA is expressed in tal-1((-/-)) ES cells and embryoid bodies; tal-1((-/-)) mice cannot produce hematopoietic cells. Thus, ES serglycin expression is probably not associated with hematopoiesis. Serglycin expression was increased by treatment of ES cells with retinoic acid (RA) and dibutyryl cAMP (dbcAMP). The serglycin core protein obtained from control ES culture medium after chondroitinase digestion appears as a doublet. Only the lower Mr band is present in serglycin secreted from RA-treated and the higher Mr band in RA+dbcAMP-treated cells, suggesting that core protein structure is affected by differentiation.
