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Related Concept Videos

Subcellular Fractionation01:32

Subcellular Fractionation

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The homogenate obtained after cell lysis contains various membrane-bound organelles that can be further separated into pure fractions by subcellular fractionation. These isolates are used to study specific cellular components, analyze localized protein activity, and are even employed in diagnostics. Fractionation is typically achieved using centrifugation methods, the most common being density-gradient and differential centrifugation.
Differential Centrifugation
Differential centrifugation is...
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Proteomics01:33

Proteomics

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A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
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Ribosome Profiling02:24

Ribosome Profiling

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Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
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Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes02:16

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The present-day mitochondrial and chloroplast genomes have retained some of the characteristics of their ancestral prokaryotes and also have acquired new attributes during their evolution within eukaryotic cells. Like prokaryotic genomes, mitochondrial and chloroplast genomes neither bind with histone-like proteins nor show complex packaging into chromosome-like structures, as observed in eukaryotes. Unlike mitotic cell divisions observed in eukaryotic cells, mitochondria and chloroplasts...
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Updated: Oct 9, 2025

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
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Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

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Subcellular Transcriptomics and Proteomics: A Comparative Methods Review.

Josie A Christopher1, Aikaterini Geladaki2, Charlotte S Dawson1

  • 1Department of Biochemistry, Cambridge Centre for Proteomics, University of Cambridge, Cambridge, UK; Milner Therapeutics Institute, Jeffrey Cheah Biomedical Centre, Cambridge, UK.

Molecular & Cellular Proteomics : MCP
|December 18, 2021
PubMed
Summary
This summary is machine-generated.

Cellular compartments organize molecules for biological functions. This review compares spatial proteomics and transcriptomics methods, highlighting their importance in understanding diseases and future directions.

Keywords:
cellular fractionationimagingproximity labelingspatial proteomicsspatial transcriptomics

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Area of Science:

  • Molecular Biology
  • Cell Biology
  • Genomics

Background:

  • Cellular interiors are molecularly crowded, necessitating spatial organization through subcellular compartmentalization.
  • Compartments maintain specific conditions for molecular functions like cell cycle control, survival, and growth.
  • Aberrant protein or RNA localization is linked to diseases including neurological disorders, cancer, and pulmonary conditions.

Purpose of the Study:

  • To review and compare current methods in spatial proteomics and transcriptomics.
  • To provide an overview of available tools for spatial -omics.
  • To discuss limitations and future developments in the field.

Main Methods:

  • Comparison of sequencing-based strategies for spatial transcriptomics and proteomics.
  • Comparison of imaging-based strategies for spatial transcriptomics and proteomics.
  • Discussion of the complementary nature of spatial transcriptomics and proteomics data.

Main Results:

  • Spatial -omics approaches are crucial for understanding subcellular organization and its role in health and disease.
  • Current methods in spatial proteomics and transcriptomics have limitations that need addressing.
  • Subcellular transcriptomics and proteomics data offer complementary insights due to post-translational modifications.

Conclusions:

  • Spatial -omics are vital for a comprehensive understanding of cellular function and disease pathology.
  • Further development of spatial -omics techniques is needed to overcome current limitations.
  • Integrating spatial transcriptomics and proteomics data will advance biological discovery.