4,628 research outputs found
Lineage specification and plasticity in CD19− early B cell precursors
We describe here three CD19− B cell precursor populations in mouse bone marrow identified using 12-color flow cytometry. Cell transfer experiments indicate lineage potentials consistent with multilineage progenitor (MLP), common lymphoid progenitor (CLP), and B lineage–restricted pre-pro–B (Fr. A), respectively. However, single cell in vitro assays reveal lineage plasticity: lymphoid/myeloid lineage potential for CLP and B/T lineage potential for Fr. A. Despite myeloid potential, recombination activating gene 2 reporter activation is first detected at low levels in most MLP cells, with 95% of CLPs showing 10-fold increased levels. Furthermore, single cell analysis shows that half of CLP and 90% of Fr. A cells contain heavy chain DJ rearrangements. These data, together with expression profiles of lineage-specific genes, demonstrate progressive acquisition of B lineage potential and support an asynchronous view of early B cell development, in which B lineage specification initiates in the MLP/CLP stage, whereas myeloid potential is not lost until the pre-pro–B (Fr. A) stage, and B/T lymphoid plasticity persists until the CD19+ pro–B stage. Thus, MLP, CLP, and Fr. A represent progressively B lineage–specified stages in development, before the CD19+ B lineage–committed pro–B stage
Nitrogen Contamination in Elastic Neutron Scattering
Nitrogen gas accidentally sealed in a sample container produces various
spurious effects in elastic neutron scattering measurements. These effects are
systematically investigated and the details of the spurious scattering are
presented
Standard ECG Lead I Prospective Estimation Study from Far-field Bipolar Leads on the Left Upper Arm: A Neural Network Approach
Enhancing road verges to aid pollinator conservation: A review
Road verges provide habitats that have considerable potential as a tool for pollinator conservation, especially given the significant area of land that they collectively cover. Growing societal interest in managing road verges for pollinators suggests an immediate need for evidence-based management guidance. We used a formal, global literature review to assess evidence for the benefits of road verges for pollinators (as habitats and corridors), the potential negative impacts of roads on pollinators (vehicle-pollinator collisions, pollution, barriers to movement) and how to enhance road verges for pollinators through management. We identified, reviewed and synthesised 140 relevant studies. Overall, the literature review demonstrated that: (i) road verges are often hotspots of flowers and pollinators (well established), (ii) traffic and road pollution can cause mortality and other negative impacts on pollinators (well established), but available evidence suggests that the benefits of road verges to pollinators far outweigh the costs (established but incomplete), and (iii) road verges can be enhanced for pollinators through strategic management (well established). Future research should address the lack of holistic and large-scale understanding of the net effects of road verges on pollinators. We provide management recommendations for enhancing both individual road verges for pollinators (e.g. optimised mowing regimes) and entire road networks (e.g. prioritising enhancement of verges with the greatest capacity to benefit pollinators), and highlight three of the most strongly supported recommendations: (i) creating high quality habitats on new and existing road verges, (ii) reducing mowing frequency to 0–2 cuts/year and (iii) reducing impacts of street lighting
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Commonwealth of Massachusetts Mill Building Repurposing Pilot Project (Twist Mill - Athol, MA)
The purpose of the UMass Amherst Department of Landscape Architecture and Regional Planning’s participation in this project is to establish a redevelopment action plan that incorporates the ownership’s clear vision for reuse of the site, proposes solutions to various obstacles that have hindered progress, and serves as a guiding model in terms of improving the feasibility of similar projects throughout the state.
The project team gathered information from a variety of resources, and conducted three distinct phases of analysis in order to complete this redevelopment action plan. The Phase I: Inventory examines the physical, regulatory, and financial context surrounding the current site in order to gauge its condition as a viable location to foster desired economic development for the region.
The Phase II: Assessment utilizes these inventory findings to identify clear challenges that impact the redevelopment potential of the site in an effort to reduce overall project roadblocks. The Phase III: Implementation provides strategies to alleviate these challenges moving forward, in the form of clear recommendations for local, regional, and state level regulatory improvements.
Phases I and II were conducted in the fall of 2013, and Phase III was conducted in the spring of 2014.
Particular thanks for guidance on this project are extended to L.P. Athol Corporation ownership, Dr. John Mullin of the UMass Amherst Center for Economic Development, State Representative Denise Andrews of the Franklin County Second District, State Senator Stephen Brewer, State Senator Stanley Rosenberg, Congressman James McGovern, and the Town of Athol
Does reperfusion injury still cause significant mortality after lung transplantation?
ObjectivesSevere reperfusion injury after lung transplantation has mortality rates approaching 40%. The purpose of this investigation was to identify whether our improved 1-year survival after lung transplantation is related to a change in reperfusion injury.MethodsWe reported in March 2000 that early institution of extracorporeal membrane oxygenation can improve lung transplantation survival. The records of consecutive lung transplant recipients from 1990 to March 2000 (early era, n = 136) were compared with those of recipients from March 2000 to August 2006 (current era, n = 155). Reperfusion injury was defined by an oxygenation index of greater than 7 (where oxygenation index = [Percentage inspired oxygen] × [Mean airway pressure]/[Partial pressure of oxygen]). Risk factors for reperfusion injury, treatment of reperfusion injury, and 30-day mortality were compared between eras by using χ2, Fisher's, or Student's t tests where appropriate.ResultsAlthough the incidence of reperfusion injury did not change between the eras, 30-day mortality after lung transplantation improved from 11.8% in the early era to 3.9% in the current era (P = .003). In patients without reperfusion injury, mortality was low in both eras. Patients with reperfusion injury had less severe reperfusion injury (P = .01) and less mortality in the current era (11.4% vs 38.2%, P = .01). Primary pulmonary hypertension was more common in the early era (10% [14/136] vs 3.2% [5/155], P = .02). Graft ischemic time increased from 223.3 ± 78.5 to 286.32 ± 88.3 minutes in the current era (P = .0001). The mortality of patients with reperfusion injury requiring extracorporeal membrane oxygenation improved in the current era (80.0% [8/10] vs 25.0% [3/12], P = .01).ConclusionImproved early survival after lung transplantation is due to less severe reperfusion injury, as well as improvements in survival with extracorporeal membrane oxygenation
Insights Gained into Marginalized Students Access Challenges During the COVID-19 Academic Response
The American Chemical Society (ACS) Committee on Minority Affairs (CMA) endeavors to support all chemistry faculty and staff as they educate all of our students during this pandemic. While the chemistry education community and the ACS have both provided resources as most institutions transitioned to virtual platforms, this pandemic disproportionally affects our students of color, lower socio-economic and rural backgrounds, and students with disabilities. Specifically, these students must overcome hurdles of technology access, environmental disruptions, and cultural pressures in order to be successful. Therefore, CMA has formulated partnerships with both academic and industrial institutions to highlight some best practices to improve future virtual learning experiences of these oftentimes marginalized students. Specifically, the work presented here examines programs and policies at three academic institutions with very different student body demographics and surrounding learning environments (Indiana University Purdue University Indianapolis (IUPUI), The College of New Jersey (TCNJ), and Los Angeles Community College District (LACCD)) with an attempt to identify variables that enhance marginalized student success in chemistry courses. The combination of their results suggests elements such as access to technology, home responsibility, and impostor syndrome, that other learning programs should consider to increase virtual learning success. Furthermore, other stopgap measures implemented at industrial partners give insight as to how these considerations can be implemented during virtual internship programs to meet their learning objectives associated with entering their institutional pipeline
Whole blood gene expression profiling of neonates with confirmed bacterial sepsis
peer-reviewedNeonatal infection remains a primary cause of infant morbidity and mortality worldwide and yet our understanding of how human neonates respond to infection remains incomplete. Changes in host gene expression in response to infection may occur in any part of the body, with the continuous interaction between blood and tissues allowing blood cells to act as biosensors for the changes. In this study we have used whole blood transcriptome profiling to systematically identify signatures and the pathway biology underlying the pathogenesis of neonatal infection. Blood samples were collected from neonates at the first clinical signs of suspected sepsis alongside age matched healthy control subjects. Here we report a detailed description of the study design, including clinical data collected, experimental methods used and data analysis workflows and which correspond with data in Gene Expression Omnibus (GEO) data sets (GSE25504). Our data set has allowed identification of a patient invariant 52-gene classifier that predicts bacterial infection with high accuracy and lays the foundation for advancing diagnostic, prognostic and therapeutic strategies for neonatal sepsis
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