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Related Concept Videos

Applications of Molecular Taxonomy01:20

Applications of Molecular Taxonomy

Molecular taxonomy has revolutionized the understanding and classification of bacteria, providing precise insights into their diversity, evolutionary relationships, and ecological roles. By utilizing molecular techniques such as DNA sequencing and fingerprinting, researchers have made significant strides in various fields related to bacterial studies.Resolving Taxonomic AmbiguitiesMolecular taxonomy has been instrumental in distinguishing closely related bacterial species initially thought to...
Genomics02:02

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...

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Related Experiment Video

Updated: May 9, 2026

An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing
10:00

An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing

Published on: May 23, 2018

The applications of single-cell genomics.

Michael Lovett

    Human Molecular Genetics
    |August 8, 2013
    PubMed
    Summary

    Single-cell technologies reveal how individual cells develop and differ. Advances in sequencing and microfluidics enable the study of cellular heterogeneity and coordination in biological processes and disease.

    Area of Science:

    • Developmental biology
    • Cellular biology
    • Genomics

    Background:

    • Multicellular organisms develop from a single totipotent cell.
    • Understanding cellular differentiation, coordination, and disease mechanisms is crucial.
    • Individual cells within tissues exhibit significant differences and complex behaviors.

    Purpose of the Study:

    • To explore the fundamental questions of how individual cells make developmental switches.
    • To investigate cellular differences, coordination, and dysfunction in disease.
    • To highlight the impact of technological advancements on single-cell biology.

    Main Methods:

    • Microfluidics
    • DNA amplification
    • DNA sequencing

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    Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells
    08:30

    Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells

    Published on: January 7, 2020

    Related Experiment Videos

    Last Updated: May 9, 2026

    An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing
    10:00

    An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing

    Published on: May 23, 2018

    Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells
    08:30

    Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells

    Published on: January 7, 2020

  • Single-cell transcriptomics
  • Genomic DNA variation analysis
  • Main Results:

    • Single-cell transcriptomic methods reveal remarkable heterogeneity among morphologically identical cells.
    • Genomic DNA variation analysis is advancing rapidly.
    • Emerging single-cell 'omics' methods promise integrated large datasets.

    Conclusions:

    • Technological progress is making long-standing biological questions about single cells tractable.
    • Single-cell analysis is key to understanding cellular heterogeneity and development.
    • Future integrated 'omics' data will provide deeper insights into cellular processes and diseases.