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Related Concept Videos

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...
Overview Of Cell Separation And Isolation01:20

Overview Of Cell Separation And Isolation

Cell separation was first achieved in 1964 by S. H. Seal, who separated large tumor cells from the smaller blood cells using filtration. Two years later, Pohl and Hawk performed experiments on how cells respond differently to a nonuniform electric field based on the cell type. Such observations were the inception of cell separation methods, which allow isolating a single cell type from a heterogeneous sample.

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Single-cell omics: Overview, analysis, and application in biomedical science.

Catarina M Stein1,2, Ralf Weiskirchen3, Frederik Damm1,4,5

  • 1Department of Hematology, Oncology, and Tumor Immunology, Charité-Universitätsmedizin Berlin, Berlin, Germany.

Journal of Cellular Biochemistry
|August 30, 2021
PubMed
Summary

Single-cell sequencing technologies offer high-resolution insights into cellular differences, aiding disease research. These accessible methods analyze numerous cells to identify rare types and diverse states.

Keywords:
bioinformaticsepigenomicsgenomicshaematologymultiomicsproteomicssingle-cell methodstranscriptomics

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Area of Science:

  • Biotechnology
  • Genomics
  • Proteomics

Background:

  • Single-cell sequencing methods offer unparalleled resolution for studying cellular heterogeneity.
  • Rapid advancements and cost reduction have made these technologies widely accessible globally.
  • They are crucial for characterizing rare cell populations and understanding diverse cellular states.

Purpose of the Study:

  • To provide an overview of current single-cell sequencing methodologies.
  • To discuss the analytical tools available for single-cell data.
  • To highlight applications of single-cell technologies in biomedical research.

Main Methods:

  • Description of single-cell genomics, transcriptomics, epigenomics, and proteomics.
  • Exploration of multi-omics approaches at the single-cell level.
  • Review of computational tools for single-cell data analysis.

Main Results:

  • Single-cell technologies enable detailed characterization of cellular heterogeneity.
  • These methods are instrumental in identifying rare cell types and refining understanding of cell states.
  • Applications span various biomedical fields, including disease pathogenesis and outcome.

Conclusions:

  • Single-cell sequencing is a powerful and accessible tool for biological research.
  • The technology provides deep insights into cellular mechanisms relevant to health and disease.
  • Continued development and application of these methods will advance biomedical sciences.