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Related Concept Videos

B Cell Activation and Differentiation01:24

B Cell Activation and Differentiation

The adaptive immune response, a sophisticated defense mechanism, relies on the activation and differentiation of B lymphocytes, or B cells. These processes enable our bodies to mount a tailored response against specific pathogens such as bacteria, free virus particles, toxins, and parasites.
When naive B cells encounter a specific antigen that can bind to the B cell receptor (BCR) on their surface, they undergo sensitization to respond to the antigen's presence. Sensitization begins with...
Antigen Processing Pathways01:31

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MHC molecules are key players in the immune response, enabling T cells to recognize and respond to specific antigens. They are present on the surface of all nucleated cells in the body and are instrumental in presenting antigens to T cells and activating them. T cells recognize the MHC-antigen complex and initiate an immune response. MHC class I and MHC class II are two main types of MHC molecules, each associated with a distinct antigen processing pathway.
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Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...

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T and B Cell Receptor Immune Repertoire Analysis using Next-generation Sequencing
08:59

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Published on: January 12, 2021

B-cell ligand processing pathways detected by large-scale comparative analysis.

Fadi Towfic1, Shakti Gupta, Vasant Honavar

  • 1Bioinformatics and Computational Biology Graduate Program, Iowa State University, Ames, IA 50010, USA. ftowfic@iastate.edu

Genomics, Proteomics & Bioinformatics
|August 25, 2012
PubMed
Summary
This summary is machine-generated.

Researchers identified key biochemical pathways in B-cell ligand recognition by analyzing gene coexpression networks. This study characterizes immune response states and highlights comparative network analysis for understanding cellular signaling.

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Area of Science:

  • Immunology
  • Computational Biology
  • Systems Biology

Background:

  • B-cell ligand recognition initiates adaptive immune responses against foreign entities.
  • Understanding the biochemical cascades and ligand sets triggering these responses is crucial for immunology.

Purpose of the Study:

  • To identify biochemical pathways in the B-cell ligand recognition cascade.
  • To discover sets of ligands that elicit similar immunological responses.
  • To characterize molecular immune response states in B-cells.

Main Methods:

  • Analysis of gene coexpression networks from microarray data across 33 ligands.
  • Comparative network analysis including degree distribution comparison.
  • Pairwise network alignment using BiNA algorithm based on network hubs.
  • Network alignment based on Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways.
  • Construction of a consensus hierarchy of B-cell ligand recognition pathways.
  • Literature validation of identified pathways for common physiological responses.

Main Results:

  • Gene coexpression networks revealed distinct patterns related to B-cell ligand recognition.
  • Comparative analyses identified a consensus hierarchy of relevant biochemical pathways.
  • Network alignment strategies successfully elucidated key signaling events.
  • Identified pathways were validated for common physiological immune responses.

Conclusions:

  • Comparative network analysis, including hub alignment and KEGG pathway alignment, provides a robust method for characterizing B-cell immune response states.
  • This approach effectively elucidates complex biochemical signaling pathways involved in cellular immune responses.
  • The study establishes a foundation for molecular characterization of B-cell immune states and identifies key pathways involved in ligand recognition.