Search Results Heading

MBRLSearchResults

mbrl.module.common.modules.added.book.to.shelf
Title added to your shelf!
View what I already have on My Shelf.
Oops! Something went wrong.
Oops! Something went wrong.
While trying to add the title to your shelf something went wrong :( Kindly try again later!
Are you sure you want to remove the book from the shelf?
Oops! Something went wrong.
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
    Done
    Filters
    Reset
  • Discipline
      Discipline
      Clear All
      Discipline
  • Is Peer Reviewed
      Is Peer Reviewed
      Clear All
      Is Peer Reviewed
  • Item Type
      Item Type
      Clear All
      Item Type
  • Subject
      Subject
      Clear All
      Subject
  • Year
      Year
      Clear All
      From:
      -
      To:
  • More Filters
2 result(s) for "Lehtivaara, Maria"
Sort by:
Strengthening bioinformatics education: e-learning initiatives across ELIXIR Nodes and Communities
The rapid evolution of bioinformatics and data-driven life sciences necessitates widespread, effective training solutions capable of transcending geographical and institutional boundaries. ELIXIR, as a pan-European bioinformatics research infrastructure, has strategically embraced e-learning methodologies to meet this challenge. This white paper systematically reviews the current landscape of e-learning initiatives across various ELIXIR Nodes and Communities, detailing both historical developments and contemporary practices. It identifies core attributes and desirable features of effective e-learning, presenting an analysis of diverse educational platforms and the deployment of Learning Management Systems (LMS) within ELIXIR’s framework. Emphasis is placed on the interactive, open-access, and sustainable nature of these resources, exemplified by platforms such as the Training e-Support System (TeSS) and the ELIXIR-SI eLearning Platform (EeLP). The paper highlights critical advancements toward standardization and interoperability through initiatives such as the adoption of SCORM protocols, facilitating resource reuse across Nodes. Additionally, the integration of e-learning into broader educational strategies—such as hybrid learning environments and structured learning paths—is examined. Finally, future directions are discussed, including strategies for integrating e-learning with traditional training methods, enhancing trainer expertise, and further expanding the availability and FAIRification of bioinformatics training resources.
Microarray Analysis Reveals Increased Transcriptional Repression and Reduced Metabolic Activity but Not Major Changes in the Core Apoptotic Machinery during Maturation of Sympathetic Neurons
Postnatal maturation of the neurons whose main phenotype and basic synaptic contacts are already established includes neuronal growth, refinement of synaptic contacts, final steps of differentiation, programmed cell death period (PCD) etc. In the sympathetic neurons, postnatal maturation includes permanent end of the PCD that occurs with the same time schedule in vivo and in vitro suggesting that the process could be genetically determined. Also many other changes in the neuronal maturation could be permanent and thus based on stable changes in the genome expression. However, postnatal maturation of the neurons is poorly studied. Here we compared the gene expression profiles of immature and mature sympathetic neurons using Affymetrix microarray assay. We found 1310 significantly up-regulated and 1151 significantly down-regulated genes in the mature neurons. Gene ontology analysis reveals up-regulation of genes related to neuronal differentiation, chromatin and epigenetic changes, extracellular factors and their receptors, and cell adhesion, whereas many down-regulated genes were related to metabolic and biosynthetic processes. We show that termination of PCD is not related to major changes in the expression of classical genes for apoptosis or cell survival. Our dataset is deposited to the ArrayExpress database and is a valuable source to select candidate genes in the studies of neuronal maturation. As an example, we studied the changes in the expression of selected genes Igf2bp3, Coro1A, Zfp57, Dcx, and Apaf1 in the young and mature sympathetic ganglia by quantitative PCR and show that these were strongly downregulated in the mature ganglia.