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  1. Article ; Online: Multi-layered regulation of neuroectoderm differentiation by retinoic acid in a primitive streak-like context.

    Russo, Luigi / Sladitschek, Hanna L / Neveu, Pierre A

    Stem cell reports

    2022  Volume 17, Issue 2, Page(s) 231–244

    Abstract: The formation of the primitive streak (PS) and the subsequent induction of neuroectoderm are hallmarks of gastrulation. Combining an in vitro reconstitution of this process based on mouse embryonic stem cells (mESCs) with a collection of knockouts in ... ...

    Abstract The formation of the primitive streak (PS) and the subsequent induction of neuroectoderm are hallmarks of gastrulation. Combining an in vitro reconstitution of this process based on mouse embryonic stem cells (mESCs) with a collection of knockouts in reporter mESC lines, we identified retinoic acid (RA) as a critical mediator of early neural induction triggered by TGFβ or Wnt signaling inhibition. Single-cell RNA sequencing analysis captured the temporal unfolding of cell type diversification, up to the emergence of somite and neural fates. In the absence of the RA-synthesizing enzyme Aldh1a2, a sensitive RA reporter revealed a hitherto unidentified residual RA signaling that specified neural fate. Genetic evidence showed that the RA-degrading enzyme Cyp26a1 protected PS-like cells from neural induction, even in the absence of TGFβ and Wnt antagonists. Overall, we characterized a multi-layered control of RA levels that regulates early neural differentiation in an in vitro PS-like system.
    MeSH term(s) Aldehyde Dehydrogenase 1 Family/deficiency ; Aldehyde Dehydrogenase 1 Family/genetics ; Animals ; Benzamides/pharmacology ; Cell Differentiation/drug effects ; Dioxoles/pharmacology ; Ectoderm/cytology ; Ectoderm/metabolism ; Mice ; Mouse Embryonic Stem Cells/cytology ; Mouse Embryonic Stem Cells/drug effects ; Mouse Embryonic Stem Cells/metabolism ; Neurons/cytology ; Neurons/metabolism ; Primitive Streak/cytology ; Primitive Streak/metabolism ; Retinal Dehydrogenase/deficiency ; Retinal Dehydrogenase/genetics ; Retinoic Acid 4-Hydroxylase/metabolism ; Signal Transduction/drug effects ; Tretinoin/metabolism ; Tretinoin/pharmacology
    Chemical Substances 4-(5-benzo(1,3)dioxol-5-yl-4-pyridin-2-yl-1H-imidazol-2-yl)benzamide ; Benzamides ; Dioxoles ; Tretinoin (5688UTC01R) ; Cyp26a1 protein, mouse (EC 1.14.14.1) ; Retinoic Acid 4-Hydroxylase (EC 1.14.14.1) ; Aldehyde Dehydrogenase 1 Family (EC 1.2.1) ; Aldh1a2 protein, mouse (EC 1.2.1.36) ; Retinal Dehydrogenase (EC 1.2.1.36)
    Language English
    Publishing date 2022-01-20
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2720528-9
    ISSN 2213-6711 ; 2213-6711
    ISSN (online) 2213-6711
    ISSN 2213-6711
    DOI 10.1016/j.stemcr.2021.12.014
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: The Ethic of Care, Disability, and Rehabilitation During the Coronavirus Disease 2019 Pandemic.

    Russo, Luigi / Trabacca, Antonio

    Pediatric neurology

    2020  Volume 111, Page(s) 39

    MeSH term(s) Betacoronavirus ; Bioethics ; COVID-19 ; Coronavirus ; Coronavirus Infections ; Humans ; Pandemics ; Pneumonia, Viral ; SARS-CoV-2
    Keywords covid19
    Language English
    Publishing date 2020-06-16
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 639164-3
    ISSN 1873-5150 ; 0887-8994
    ISSN (online) 1873-5150
    ISSN 0887-8994
    DOI 10.1016/j.pediatrneurol.2020.06.006
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: COVID-19 and child disabilities: whom to protect and how.

    Trabacca, Antonio / Russo, Luigi

    European journal of physical and rehabilitation medicine

    2020  Volume 56, Issue 3, Page(s) 372–373

    MeSH term(s) Betacoronavirus ; COVID-19 ; Child ; Child Health Services/organization & administration ; Coronavirus Infections/complications ; Coronavirus Infections/epidemiology ; Coronavirus Infections/therapy ; Disabled Children/rehabilitation ; Humans ; Pandemics ; Pneumonia, Viral/complications ; Pneumonia, Viral/epidemiology ; Pneumonia, Viral/therapy ; Rehabilitation/organization & administration ; SARS-CoV-2
    Keywords covid19
    Language English
    Publishing date 2020-04-24
    Publishing country Italy
    Document type Journal Article
    ZDB-ID 2426908-6
    ISSN 1973-9095 ; 1973-9087
    ISSN (online) 1973-9095
    ISSN 1973-9087
    DOI 10.23736/S1973-9087.20.06309-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Book ; Online: Using Multi-Temporal Sentinel-1 and Sentinel-2 data for water bodies mapping

    Russo, Luigi / Mauro, Francesco / Memar, Babak / Sebastianelli, Alessandro / Gamba, Paolo / Ullo, Silvia Liberata

    2024  

    Abstract: Climate change is intensifying extreme weather events, causing both water scarcity and severe rainfall unpredictability, and posing threats to sustainable development, biodiversity, and access to water and sanitation. This paper aims to provide valuable ... ...

    Abstract Climate change is intensifying extreme weather events, causing both water scarcity and severe rainfall unpredictability, and posing threats to sustainable development, biodiversity, and access to water and sanitation. This paper aims to provide valuable insights for comprehensive water resource monitoring under diverse meteorological conditions. An extension of the SEN2DWATER dataset is proposed to enhance its capabilities for water basin segmentation. Through the integration of temporally and spatially aligned radar information from Sentinel-1 data with the existing multispectral Sentinel-2 data, a novel multisource and multitemporal dataset is generated. Benchmarking the enhanced dataset involves the application of indices such as the Soil Water Index (SWI) and Normalized Difference Water Index (NDWI), along with an unsupervised Machine Learning (ML) classifier (k-means clustering). Promising results are obtained and potential future developments and applications arising from this research are also explored.
    Keywords Computer Science - Computer Vision and Pattern Recognition ; Computer Science - Machine Learning ; Electrical Engineering and Systems Science - Image and Video Processing
    Subject code 333
    Publishing date 2024-01-05
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Children's rare disease rehabilitation: from multidisciplinarity to the transdisciplinarity approach.

    Trabacca, Antonio / Russo, Luigi

    European journal of physical and rehabilitation medicine

    2017  Volume 55, Issue 1, Page(s) 136–137

    MeSH term(s) Child ; Humans ; Patient Care Team ; Rare Diseases/therapy
    Language English
    Publishing date 2017-11-03
    Publishing country Italy
    Document type Journal Article
    ZDB-ID 2426908-6
    ISSN 1973-9095 ; 1973-9087
    ISSN (online) 1973-9095
    ISSN 1973-9087
    DOI 10.23736/S1973-9087.17.04900-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Inclusions of Pesticides by β-Cyclodextrin in Solution and Solid State: Chlorpropham, Monuron, and Propanil.

    Dragone, Martina / Shitaye, Getasew / D'Abrosca, Gianluca / Russo, Luigi / Fattorusso, Roberto / Isernia, Carla / Malgieri, Gaetano / Iacovino, Rosa

    Molecules (Basel, Switzerland)

    2023  Volume 28, Issue 3

    Abstract: Persistence and degradation are important factors in determining the safe use of such synthetic products, and numerous studies have been addressed to develop pesticide remediation methods aimed at ameliorating these features. In this frame, the use of ... ...

    Abstract Persistence and degradation are important factors in determining the safe use of such synthetic products, and numerous studies have been addressed to develop pesticide remediation methods aimed at ameliorating these features. In this frame, the use of different cyclodextrins (CDs) molecules has attracted considerable attention due to their well-known non-toxic nature, limited environmental impact, and capability to reduce the environmental and health risks of pesticides. CDs appear to be a valuable tool for the elimination of pesticides from polluted areas as well as for better pesticide formulations that positively influence their hydrolysis or degradation. The present work investigates the interaction between β-cyclodextrins and three commonly used pesticides (i.e., chlorpropham, monuron, and propanil) both in solution and in the solid state by means of UV-Vis, FT-IR, and X-ray powder diffractometry. We show that such interactions result in all three cases in the formation of inclusion complexes with a 1:1 stoichiometry and binding constants (K
    MeSH term(s) Pesticides/analysis ; Chlorpropham ; Propanil ; Spectroscopy, Fourier Transform Infrared ; beta-Cyclodextrins/chemistry ; Cyclodextrins/chemistry ; Solubility
    Chemical Substances Pesticides ; Chlorpropham (0HBU04R8B0) ; Propanil (709-98-8) ; monuron (I99GAK5X1D) ; beta-Cyclodextrins ; Cyclodextrins
    Language English
    Publishing date 2023-01-30
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 1413402-0
    ISSN 1420-3049 ; 1431-5165 ; 1420-3049
    ISSN (online) 1420-3049
    ISSN 1431-5165 ; 1420-3049
    DOI 10.3390/molecules28031331
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Book ; Online: Estimation of Ground NO2 Measurements from Sentinel-5P Tropospheric Data through Categorical Boosting

    Mauro, Francesco / Russo, Luigi / Janku, Fjoralba / Sebastianelli, Alessandro / Ullo, Silvia Liberata

    2023  

    Abstract: This study aims to analyse the Nitrogen Dioxide (NO2) pollution in the Emilia Romagna Region (Northern Italy) during 2019, with the help of satellite retrievals from the Sentinel-5P mission of the European Copernicus Programme and ground-based ... ...

    Abstract This study aims to analyse the Nitrogen Dioxide (NO2) pollution in the Emilia Romagna Region (Northern Italy) during 2019, with the help of satellite retrievals from the Sentinel-5P mission of the European Copernicus Programme and ground-based measurements, obtained from the ARPA site (Regional Agency for the Protection of the Environment). The final goal is the estimation of ground NO2 measurements when only satellite data are available. For this task, we used a Machine Learning (ML) model, Categorical Boosting, which was demonstrated to work quite well and allowed us to achieve a Root-Mean-Square Error (RM SE) of 0.0242 over the 43 stations utilised to get the Ground Truth values. This procedure represents the starting point to understand which other actions must be taken to improve the final performance of the model and extend its validity.

    Comment: 6 pages, 4 figures, MetroXRAINE conference
    Keywords Electrical Engineering and Systems Science - Signal Processing
    Subject code 551
    Publishing date 2023-04-08
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Pediatric rehabilitation: a changing panorama in the high-tech era?

    Trabacca, Antonio / Russo, Luigi

    European journal of physical and rehabilitation medicine

    2016  Volume 52, Issue 4, Page(s) 593–594

    MeSH term(s) Biomedical Technology/trends ; Child ; Child, Preschool ; Disabled Children/rehabilitation ; Forecasting ; Humans ; Pediatrics/trends ; Rehabilitation/trends
    Language English
    Publishing date 2016-08
    Publishing country Italy
    Document type Letter
    ZDB-ID 2426908-6
    ISSN 1973-9095 ; 1973-9087
    ISSN (online) 1973-9095
    ISSN 1973-9087
    Database MEDical Literature Analysis and Retrieval System OnLINE

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