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Stem cell research aims to find ways to use stem cells to regenerate and repair cellular damage. Over time, most adult cells undergo the wear and tear of aging and lose their ability to divide and repair themselves. Stem cells do not display a particular morphology or function. Adult stem cells, which exist as a small subset of cells in most tissues, keep dividing and can differentiate into a number of specialized cells generally formed by that tissue. These cells enable the body to renew and...
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The stem cell niche is the dynamic microenvironment where stem cells reside. Inside these niches, the cells may remain undifferentiated, undergo high self-renewal, or become lineage-specific progenitors. Stem cells coexist with other niche cells, such as stromal cells. They also interact closely with the ECM. Cell-cell and cell-matrix communication occur via adhesion molecules or soluble factors that signal the stem cells and determine their fate. Stromal cells also provide survival signals to...
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Stem cells are undifferentiated cells that divide and produce more stem cells or progenitor cells that differentiate into mature, specialized cell types. All the cells in the body are generated from stem cells in the early embryo, but small populations of stem cells are also present in many adult tissues including the bone marrow, brain, skin, and gut. These adult stem cells typically produce the various cell types found in that tissue—to replace cells that are damaged or to continuously...
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StemCellNet: an interactive platform for network-oriented investigations in stem cell biology.

José P Pinto1, Ravi Kiran Reddy Kalathur2, Rui S R Machado2

  • 1Centre for Molecular and Structural Biomedicine, CBME/IBB, LA, University of Algarve, Faro, Algarve 8005-139, Portugal jppinto@ualg.pt.

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StemCellNet is a new web server for analyzing stem cell molecular networks. It helps researchers visualize interactions and identify key genes in stemness, aiding stem cell research.

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Area of Science:

  • Biochemistry
  • Molecular Biology
  • Bioinformatics

Background:

  • Stem cells possess self-renewal and differentiation capabilities, crucial for development and regeneration.
  • These stem cell properties are governed by intricate molecular networks.
  • Understanding these networks is vital for stem cell research and therapeutic applications.

Purpose of the Study:

  • To develop and present StemCellNet, an interactive web server for analyzing stem cell molecular networks.
  • To provide researchers with a tool for visualizing and investigating physical and regulatory interactions in stem cells.
  • To facilitate the identification of key genes and pathways involved in stemness.

Main Methods:

  • Development of the StemCellNet web server for interactive network analysis.
  • Generation of focused networks using a comprehensive collection of human and murine stem cell interactions.
  • Integration of user-provided expression data and screening against stemness-associated gene compendia.
  • Utilizing network connectivity patterns to identify novel candidate genes.

Main Results:

  • StemCellNet enables rapid generation and visualization of focused stem cell networks.
  • The platform allows for user data integration and prioritization of network components.
  • Novel candidate genes associated with stemness can be identified through network analysis.
  • An optional generic interaction dataset expands StemCellNet's utility to broader biomedical research.

Conclusions:

  • StemCellNet serves as a valuable, interactive tool for exploring stem cell molecular networks.
  • The web server aids in understanding stem cell self-renewal and differentiation mechanisms.
  • StemCellNet facilitates the discovery of novel genes and pathways relevant to stem cell biology and diseases like cancer and degenerative conditions.