Sphingosine 1-phosphate receptor 5 (S1PR5) regulates the peripheral retention of tissue-resident lymphocytes

Tissue-resident memory T (TRM) cells provide long-lasting immune protection. One of the key events controlling TRM cell development is the local retention of TRM cell precursors coupled to downregulation of molecules necessary for tissue exit. Sphingosine-1-phosphate receptor 5 (S1PR5) is a migratory receptor with an uncharted function in T cells. Here, we show that S1PR5 plays a critical role in T cell infiltration and emigration from peripheral organs, as well as being specifically downregulated in TRM cells. Consequentially, TRM cell development was selectively impaired upon ectopic expression of S1pr5, whereas loss of S1pr5 enhanced skin TRM cell formation by promoting peripheral T cell sequestration. Importantly, we found that T-bet and ZEB2 were required for S1pr5 induction and that local TGF-β signaling was necessary to promote coordinated Tbx21, Zeb2, and S1pr5 downregulation. Moreover, S1PR5-mediated control of tissue residency was conserved across innate and adaptive immune compartments. Together, these results identify the T-bet-ZEB2-S1PR5 axis as a previously unappreciated mechanism modulating the generation of tissue-resident lymphocytes. © 2021 Evrard et al

Local Feature Matching Using Deep Learning: A Survey

Local feature matching enjoys wide-ranging applications in the realm of computer vision, encompassing domains such as image retrieval, 3D reconstruction, and object recognition. However, challenges persist in improving the accuracy and robustness of matching due to factors like viewpoint and lighting variations. In recent years, the introduction of deep learning models has sparked widespread exploration into local feature matching techniques. The objective of this endeavor is to furnish a comprehensive overview of local feature matching methods. These methods are categorized into two key segments based on the presence of detectors. The Detector-based category encompasses models inclusive of Detect-then-Describe, Joint Detection and Description, Describe-then-Detect, as well as Graph Based techniques. In contrast, the Detector-free category comprises CNN Based, Transformer Based, and Patch Based methods. Our study extends beyond methodological analysis, incorporating evaluations of prevalent datasets and metrics to facilitate a quantitative comparison of state-of-the-art techniques. The paper also explores the practical application of local feature matching in diverse domains such as Structure from Motion, Remote Sensing Image Registration, and Medical Image Registration, underscoring its versatility and significance across various fields. Ultimately, we endeavor to outline the current challenges faced in this domain and furnish future research directions, thereby serving as a reference for researchers involved in local feature matching and its interconnected domains. A comprehensive list of studies in this survey is available at https://github.com/vignywang/Awesome-Local-Feature-Matching .Comment: Accepted by Information Fusion 2024. Project page: https://github.com/vignywang/Awesome-Local-Feature-Matchin

Light-emitting diode spectra modify nutritional status, physiological response, and secondary metabolites in Ficus hirta and Alpinia oxyphylla

Lighting spectrum is one of the key factors that determine biomass production and secondary-metabolism accumulation in medicinal plants under artificial cultivation conditions. Ficus hirta and Alpinia oxyphylla seedlings were cultured with blue (10% red, 10% green, 70% blue), green (20% red, 10% green, 30% blue), and red-enriched (30% red, 10% green, 20% blue) lights in a wide bandwidth of 400-700 nm. F. hirta seedlings had lower diameter, fine root length, leaf area, biomass, shoot nutrient (N) and phosphorus concentrations in the blue-light spectrum compared to the red- and green-light spectra. In contrast, A. oxyphylla seedlings showed significantly higher concentrations of foliar flavonoids and saponins in red-light spectrum with rare responses in N, chlorophyll, soluble sugars, and starch concentrations. F. hirta is easily and negatively impacted by blue-light spectrum but A. oxyphylla is suitably used to produce flavonoid and saponins in red-light spectrum across a wide bandwidth

Defining the role of CD69 in the formation of resident memory CD8+ T cells

Resident memory CD8+ T cells (TRM) reside in nonlymphoid tissues. There, they play a key role in preventing reinfection by exerting cytotoxic and inflammatory functions upon exposure to previously encountered pathogens. CD69 is often used as a definitive marker of TRM cells. CD69’s interaction with the G-protein-coupled receptor S1PR1 has been identified as one mechanism by which CD69 can regulate tissue residency. However, the functional requirement for CD69 in promoting the generation and maintenance of CD8+ TRM under a wide variety of circumstances remains unclear. We explored the role of CD69 in tissue residency using co-transfer of antigen specific CD69 sufficient and deficient CD8+ T cells in the context of acute LCMV, Influenza, and VSV infections. Strikingly, we found that CD69 was not necessary for TRM establishment in most tissues, although it can promote TRM localization under some circumstances. This seems to be influenced by the focal point of infection. Interestingly, the kidney appears to rely on CD69 for tissue residency with every model pathogen examined. We propose that the requirement for CD69 is context dependent rather than absolute, and that a combination of factors, including tissue microenvironment and infectious agent, dictate CD69’s influence on development of CD8+ resident memory

Ramsey County Environmental Response Fund Impact Study

Report and poster completed by students participating in the Economic Development Fellowship Consulting Program, offered through the Office of University Economic Development in Spring 2019.This project was completed as part of the 2018-2019 Resilient Communities Project (rcp.umn.edu) partnership with Ramsey County. Ramsey County collects a small percentage of the mortgage registry and deed tax to help fund the clean-up of contaminated land. This Environmental Response Fund (ERF) is leveraged with private investment and other public funding for redevelopment projects within the county. Since the program’s inception, 22 projects have received $5.7 million in funding and 200 acres have been remediated. Although the fund has been successful in cleaning up brownfields, little was known about the broader outcomes of the redevelopment projects completed after 2012, the last time an impact assessment was undertaken. Ramsey County Project Lead Mary Lou Egan worked with students in the Economic Development Fellows Consulting Program to evaluate the impact of ERF projects in terms of public and private investment leveraged, tax revenue generated, and jobs and housing units generated, and identified ways to strengthen and improve the program going forward. The students' final report and a poster summarizing the project are available.This project was supported by the Resilient Communities Project (RCP), a program at the University of Minnesota whose mission is to connect communities in Minnesota with U of MN faculty and students to advance community resilience through collaborative, course-based projects. RCP is a program of the Center for Urban and Regional Affairs (CURA). More information at http://www.rcp.umn.edu

Particle-hole asymmetric superconducting coherence peaks in overdoped cuprates

To elucidate the superconductor to metal transition at the end of superconducting dome, the overdoped regime has stepped onto the center stage of cuprate research recently. Here, we use scanning tunneling microscopy to investigate the atomic-scale electronic structure of overdoped trilayer Bi-2223 and bilayer Bi-2212 cuprates. At low energies the spectroscopic maps are well described by dispersive quasiparticle interference patterns. However, as the bias increases to the superconducting coherence peak energy, a virtually non-dispersive pattern with sqrt(2)*sqrt(2) periodicity emerges. Remarkably, the position of the coherence peaks exhibits evident particle-hole asymmetry which also modulates with the same period. We propose that this is an extreme quasiparticle interference phenomenon, caused by pairing-breaking scattering between flat anti-nodal Bogoliubov bands, which is ultimately responsible for the superconductor to metal transition.Comment: 15 pages, 4 figure

Charge redistribution, charge order and plasmon in La2−x_{2-x}Srx_{x}CuO4_{4}/La2_{2}CuO4_{4} superlattices

Interfacial superconductors have the potential to revolutionize electronics, quantum computing, and fundamental physics due to their enhanced superconducting properties and ability to create new types of superconductors. The emergence of superconductivity at the interface of La$_{2-x}$Sr$_{x}$CuO$_{4}$/La$_{2}$CuO$_{4}$ (LSCO/LCO), with a T$_c$ enhancement of $\sim$ 10 K compared to the La$_{2-x}$Sr$_{x}$CuO$_{4}$ bulk single crystals, provides an exciting opportunity to study quantum phenomena in reduced dimensions. To investigate the carrier distribution and excitations in interfacial superconductors, we combine O K-edge resonant inelastic X-ray scattering and atomic-resolved scanning transmission electron microscopy measurements to study La$_{2-x}$Sr$_{x}$CuO$_{4}$/La$_{2}$CuO$_{4}$ superlattices (x=0.15, 0.45) and bulk La$_{1.55}$Sr$_{0.45}$CuO$_{4}$ films. We find direct evidence of charge redistribution, charge order and plasmon in LSCO/LCO superlattices. Notably, the observed behaviors of charge order and plasmon deviate from the anticipated properties of individual constituents or the average doping level of the superlattice. Instead, they conform harmoniously to the effective doping, a critical parameter governed by the T$_c$ of interfacial superconductors.Comment: 8 pages, 5 figure