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Topic Review
AHNAK2
AHNAK2 is a relatively newly discovered protein. It can interact with many other proteins. This protein is increased in cells of variety of different cancers. AHNAK2 may play a vital role in cancer formation. AHNAK2 may have a role in early detection of cancer.
  • 440
  • 07 May 2022
Topic Review
AhR Participates in COVID-19’s Immune-Inflammatory Imbalance
The comprehension of AhR’s role in the COVID-19 framework must consider its participation in human physiology and, in particular, in inflammatory and immune processes, where AhR is involved in the regulation of both innate and adaptive immunity, as it influences both DCs and T lymphocytes. In DCs, it decreases the expression of the Major Histocompatibility Complex II (MHC II). It also regulates the production of inflammatory cytokines, such as IL-6, IL12, IL15, and IL18, which are usually produced during DC differentiation. DCs differentiation takes place upon their exposure to T cells, viral/bacterial components or pro-inflammatory molecules, such as granulocyte-macrophage colony-stimulating factor (GM-CSF), IFNα, and inflammatory cytokines such as IL-6 and TNFα. This point is of pivotal importance, due to the crosstalk between several inflammatory molecules such as IL-6, TNFα and the AhR pathway. This interplay also reverberates on the differentiation of Th17 and Treg, in particular in type 1 regulatory T cell (TR1) stabilization. AhR can deeply affect T cells metabolism, which can be modulated depending on the AhR ligand. It has been demonstrated that the differentiation of TR1 cells is the result of the sequential collaboration of Hypoxia Inducible Factor-1α (HIF-1α) and AhR. In physiologic settings, AhR endows the degradation of HIF-1α, while in inflammation, which is frequently associated with hypoxia, HIF-1α inactivates AHR, thus interfering with TR1 cell differentiation. AhR is also abundantly expressed in DCs. 
  • 514
  • 23 Feb 2022
Topic Review
AI Applications in Plant Genomic Prediction
Artificial intelligence (AI), boosted through deep learning (DL), has achieved significant breakthroughs and is a powerful tool for managing large complex datasets such as crop genetic markers genome and their association with crop phenotypes. AI techniques can be applied to analyze large amounts of genomic data and identify patterns that are difficult for humans to detect. These patterns can then be used to develop more accurate predictive models. 
  • 303
  • 05 May 2023
Topic Review
AI Tools in Food Safety and Quality Analysis
On a global scale, food safety and security aspects entail consideration throughout the farm-to-fork continuum, considering food’s supply chain. Generally, the agrifood system is a multiplex network of interconnected features and processes, with a hard predictive rate, where maintaining the food’s safety is an indispensable element and is part of the Sustainable Development Goals (SDGs). It has led the scientific community to develop advanced applied analytical methods, such as machine learning (ML) and deep learning (DL) techniques applied for assessing foodborne diseases. 
  • 129
  • 10 Jan 2024
Topic Review
AI&ML for Medical Sector
This work represents a comprehensive analysis of the potential AI, ML, and IoT technologies for defending against the COVID-19 pandemic. The existing and potential applications of AI, ML, and IoT, along with a detailed analysis of the enabling tools and techniques are outlined. A critical discussion on the risks and limitations of the aforementioned technologies are also included.
  • 1.0K
  • 21 Jan 2021
Topic Review
Aicardi Syndrome
Aicardi syndrome is a disorder that occurs almost exclusively in females. It is characterized by three main features that occur together in most affected individuals. People with Aicardi syndrome have absent or underdeveloped tissue connecting the left and right halves of the brain (agenesis or dysgenesis of the corpus callosum). They have seizures beginning in infancy (infantile spasms), which tend to progress to recurrent seizures (epilepsy) that can be difficult to treat. Affected individuals also have chorioretinal lacunae, which are defects in the light-sensitive tissue at the back of the eye (retina).
  • 320
  • 24 Dec 2020
Topic Review
Aicardi-Goutières Syndrome
Aicardi-Goutières syndrome is a disorder that mainly affects the brain, the immune system, and the skin.
  • 330
  • 24 Dec 2020
Topic Review
AIE Material Design Strategy Based on Functional Groups
The common fluorescent conjugated materials present weak or quenching luminescent phenomena in the solid or aggregate state (ACQ), which limits their applications in medicine and biology. Certain materials, named aggregation-induced emission (AIE) fluorescent materials, have exhibited strong luminescent properties in the aggregate state, which can overcome the ACQ phenomenon. Due to their intrinsic properties, the AIE materials have been successfully used in biolabeling, where they can not only detect the species of ions and their concentrations in organisms, but can also monitor the organisms’ physiological activity. In addition, these kinds of materials often present non-biological toxicity. Thus, AIE materials have become some of the most popular biofluorescent probe materials and are attracting more and more attention. 
  • 456
  • 08 Feb 2023
Topic Review
AIP Gene
aryl hydrocarbon receptor interacting protein
  • 392
  • 24 Dec 2020
Topic Review
Air during New Year’s Eve
Mosses are one of the best bioindicators in the assessment of atmospheric aerosol pollution by heavy metals. Studies using mosses allow both short- and long-term air quality monitoring. The increasing contamination of the environment (including air) is causing a search for new, cheap and effective methods of monitoring its condition. Once such method is the use of mosses in active biomonitoring. The aim of the entry was to assess the atmospheric aerosol pollution with selected heavy metals (Ni, Cu, Zn, Cd, Hg and Pb) from the smoke of fireworks used during New Year’s Eve in the years 2019/2020 and 2020/2021.
  • 920
  • 16 Aug 2021
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