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Related Concept Videos

Longitudinal Research02:20

Longitudinal Research

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Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
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Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
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Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
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Integrating multiomics longitudinal data to reconstruct networks underlying lung development.

Jun Ding1, Farida Ahangari2, Celia R Espinoza3

  • 1Computational Biology Department, Carnegie Mellon University, Pittsburgh, Pennsylvania.

American Journal of Physiology. Lung Cellular and Molecular Physiology
|August 22, 2019
PubMed
Summary
This summary is machine-generated.

Researchers created a detailed model of lung development by analyzing gene expression, epigenetics, and proteins over time in mice and humans. This model reveals key regulatory networks and pathways involved in lung maturation and innate immunity.

Keywords:
alveolar developmentlaser capture microdissectiontime-series omics data

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Area of Science:

  • Developmental Biology
  • Genomics
  • Proteomics
  • Epigenetics
  • Immunology

Background:

  • Postnatal alveolar lung development involves complex regulatory networks that are not fully understood.
  • A comprehensive model is needed to elucidate the dynamic processes governing lung maturation.

Purpose of the Study:

  • To construct a detailed, interactive model of postnatal murine lung development.
  • To create a comparable model for human lung development.
  • To identify shared regulatory pathways and key regulators between mouse and human lung development.

Main Methods:

  • Profiling of mRNA, microRNA, DNA methylation, and proteomics in murine alveoli across 14 time points using laser capture microdissection.
  • Development of a comprehensive and interactive computational model.
  • Integration of the model with single-cell RNA-Seq data.
  • Profiling of time-series human omics data sets for human lung development modeling.

Main Results:

  • A detailed model of murine lung development was created, highlighting expression trajectories, key regulators, and epigenetic impacts.
  • Integration with single-cell RNA-Seq identified cell-type-specific active pathways.
  • A similar model for human lung development was constructed, revealing shared pathways and regulators with the murine model.
  • Experimental validation confirmed predicted regulators, offering new insights into innate immunity regulation during lung development.

Conclusions:

  • The developed models provide a comprehensive understanding of the dynamic regulatory networks in postnatal lung development.
  • Shared regulatory mechanisms exist between murine and human lung development.
  • The study offers novel insights into the regulation of innate immunity during lung development.