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Genetics, Genomics, and Precision Medicine - Past, Present and Future - April 28, 2020

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Science and Nature

Scientific Concepts, Discoveries, and Nature Phenomena Presented

  • Genetics and Genomics
    • Genetics: The study of genes and heredity.
    • Mendelian Genetics: Gregor Mendel's work on inheritance patterns in pea plants, establishing foundational principles of Genetics.
    • Emory Fisztics: Contributions to genetic laws of nature through sheep breeding.
    • Evolution: Charles Darwin's theory of natural selection and descent from common ancestors.
  • Definition of Genes
    • Gene: A unit of heredity made up of DNA that determines characteristics.
    • Genotype vs. Phenotype
      • Genotype: The genetic makeup of an organism.
      • Phenotype: The observable characteristics of an organism.
  • Human Genome Project: A global initiative to sequence the entire human genome, providing essential data for understanding Genetics and disease.
  • Gene Expression
    • Transcription and Translation: The processes by which genes are expressed to produce proteins.
    • Central Dogma of Molecular Biology: The flow of information from DNA to RNA to proteins.
  • Sequencing Technologies
    • Sanger Sequencing: Early method for sequencing DNA.
    • Next-Generation Sequencing (NGS): Allows for rapid sequencing of millions of DNA fragments simultaneously.
    • Third-Generation Sequencing: Directly sequences single DNA molecules, producing longer reads.
  • Transcriptomics: The study of RNA transcripts to understand gene expression and cellular processes.
    • Techniques include microarrays and RNA sequencing.
  • Proteomics: The large-scale study of proteins, their functions, and interactions within biological systems.
  • Bioinformatics and Data Sharing
    • Importance of data management and open access databases in genomics research.
    • The role of bioinformatics in analyzing large datasets.
  • Future of Medicine
    • The integration of AI and machine learning in healthcare.
    • Blockchain technology for decentralized data management.
    • Potential of DNA as a medium for computing.

Methodology Shared

  • Gene Expression Analysis
    • Transcription (DNA to RNA).
    • Translation (RNA to protein).
  • Sequencing Techniques
    • Sanger Sequencing: Uses templates and terminator bases for DNA replication.
    • Capillary Sequencing: Uses capillaries for high-throughput DNA sequencing.
    • Next-Generation Sequencing: Massively parallel sequencing of DNA.
  • Transcriptomics Techniques
    • Microarrays: Measure transcript abundance via hybridization.
    • RNA-seq: High-throughput sequencing to analyze all transcripts.
  • Proteomics Techniques
    • Mass Spectrometry: Analyzing protein structures and interactions.
    • Differential Gel Electrophoresis: Separating proteins for analysis.

Researchers and Sources Featured

  • April Wright: NLM All of Us Community Engagement Coordinator.
  • Jean-Paul Cornea: Genomic Data Scientist at the University of Maryland, Baltimore.
  • Gregor Mendel: Father of Genetics.
  • Emory Fisztics: Hungarian sheep breeder who contributed to genetic laws.
  • Charles Darwin: Proposed the theory of natural selection.
  • Fred Sanger: Developed Sanger Sequencing and won two Nobel Prizes.
  • Various bioinformatics centers: Including EMBL EBI, NCBI, and NIG.

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