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Related Concept Videos

Viral Recombination00:57

Viral Recombination

Cells are sometimes infected by more than one virus at once. When two viruses disassemble to expose their genomes for replication in the same cell, similar regions of their genomes can pair together and exchange sequences in a process called recombination. Alternatively, viruses with segmented genomes can swap segments in a process called reassortment.
Rous Sarcoma Virus (RSV) and Cancer01:03

Rous Sarcoma Virus (RSV) and Cancer

Rous Sarcoma virus or RSV was discovered by F. Peyton Rous in the year 1911 as a filterable transmissible agent that could cause tumors in chickens. He won a Nobel Prize for this discovery in 1966. His experiments clearly demonstrated that some cancers could be caused by infectious agents and led to the discovery of many more cancer-causing viruses in animals as well as humans.
RSV is a retrovirus that contains two copies of a plus-strand  RNA genome. Its genome consists of four main open...
Rous Sarcoma Virus (RSV) and Cancer01:03

Rous Sarcoma Virus (RSV) and Cancer

Rous Sarcoma virus or RSV was discovered by F. Peyton Rous in the year 1911 as a filterable transmissible agent that could cause tumors in chickens. He won a Nobel Prize for this discovery in 1966. His experiments clearly demonstrated that some cancers could be caused by infectious agents and led to the discovery of many more cancer-causing viruses in animals as well as humans.
RSV is a retrovirus that contains two copies of a plus-strand  RNA genome. Its genome consists of four main open...
Human Virome01:26

Human Virome

The human body harbors a vast and diverse viral community known as the human virome. The virome includes bacteriophages that infect bacteria, and eukaryotic viruses that infect human cells. Transient dietary and environmental viruses also contribute to this dynamic ecosystem. Estimates suggest the human body may contain on the order of 10¹³ viral particles, though abundance varies widely by body site and detection method.Comprehensive characterization of the virome has become possible only with...
Infectious Diseases and Their Occurrence01:28

Infectious Diseases and Their Occurrence

Infectious diseases appear in populations through various transmission patterns, influenced by pathogen characteristics, population immunity, environmental conditions, and social behavior. Understanding these patterns is essential for effective public health surveillance and intervention. These categories—sporadic, outbreak, epidemic, pandemic, and endemic—help frame the nature and scope of disease events.Sporadic diseases occur irregularly and infrequently, without a predictable temporal or...
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Investigation of Disease Outbreaks

Multistate foodborne outbreaks pose significant public health risks and require meticulous investigation to identify sources and implement control measures. The Centers for Disease Control and Prevention (CDC) utilizes a dynamic seven-step process for these investigations, integrating data from laboratories, interviews, and environmental assessments to protect public health.Outbreak Detection: The detection of multistate outbreaks typically begins with PulseNet, the CDC's national laboratory...

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Related Experiment Video

Updated: May 16, 2026

An In vitro Model to Study Immune Responses of Human Peripheral Blood Mononuclear Cells to Human Respiratory Syncytial Virus Infection
09:01

An In vitro Model to Study Immune Responses of Human Peripheral Blood Mononuclear Cells to Human Respiratory Syncytial Virus Infection

Published on: December 10, 2013

A Knowledge Graph for the Exploration of Human RSV Infection.

Bisma Arshad1, Chu Ming Ko1, Mary McCabe1

  • 1Wellcome-Wolfson Institute for Experimental Medicine, Belfast, United Kingdom.

Studies in Health Technology and Informatics
|May 17, 2025
PubMed
Summary
This summary is machine-generated.

Respiratory Syncytial Virus (RSV) causes severe infant infections. A new Knowledge Graph integrates decades of data to better understand RSV, aiding in identifying severe disease risks.

Keywords:
BioinformaticsKnowledge GraphRSVViruses

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Area of Science:

  • Virology
  • Infectious Diseases
  • Bioinformatics

Background:

  • Respiratory Syncytial Virus (RSV) is a primary cause of infant acute lower respiratory tract infections (ALRTI).
  • Current treatments for severe RSV are palliative, and predicting severe disease progression remains challenging.
  • Knowledge Graphs (KG) offer a novel approach to synthesizing complex biological information.

Purpose of the Study:

  • To consolidate over 60 years of heterogeneous information on RSV infection.
  • To create a pilot RSV Knowledge Graph (KG) for enhanced data exploration.
  • To identify interconnected nodes and pathways for a deeper understanding of RSV pathogenesis.

Main Methods:

  • Literature review and data extraction from multiple heterogeneous sources.
  • Construction of a pilot Knowledge Graph (KG) for RSV.
  • Network analysis to identify key nodes and infer biological pathways.

Main Results:

  • Successfully integrated >60 years of RSV-related data into a pilot KG.
  • Identified highly interconnected nodes representing critical aspects of RSV infection.
  • Inferred potential pathways contributing to RSV disease severity.

Conclusions:

  • The pilot RSV KG provides a valuable resource for understanding RSV infection.
  • This approach can aid in identifying individuals at risk for severe RSV disease.
  • Further development of the KG can accelerate research into RSV prevention and treatment.