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Related Concept Videos

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...
10.0K

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Purification of Transcripts and Metabolites from Drosophila Heads
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Multiple System Atrophy: Many Lessons from the Transcriptome.

Ashton Curry-Hyde1, Bei Jun Chen1, Uwe Ueberham2

  • 11 School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, Australia.

The Neuroscientist : a Review Journal Bringing Neurobiology, Neurology and Psychiatry
|August 4, 2017
PubMed
Summary
This summary is machine-generated.

Multiple system atrophy (MSA) is a complex neurodegenerative disease. Understanding gene expression and transcriptome profiles can aid in faster diagnosis and improved quality of life for patients.

Keywords:
RNA sequencingalternative splicinghuman brainmultiple system atrophyparkinsonismtranscriptomeα-synuclein

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Area of Science:

  • Neurodegenerative diseases
  • Molecular pathology
  • Transcriptomics

Background:

  • Multiple system atrophy (MSA) is a debilitating neurodegenerative disease.
  • MSA is characterized by parkinsonism or cerebellar dysfunction and dysautonomia.
  • Current diagnosis is challenging, often requiring postmortem confirmation via α-synuclein aggregation.

Purpose of the Study:

  • To review advances in understanding the molecular pathology of MSA.
  • To focus on gene expression perturbations and the MSA transcriptome.
  • To explore potential for improved diagnosis and patient quality of life.

Main Methods:

  • Review of current literature on MSA molecular pathology.
  • Analysis of transcriptome profiling data in MSA.
  • Focus on individual gene expression changes.

Main Results:

  • Transcriptome profiling offers insights into the diseased state of MSA.
  • Understanding gene expression can contribute to identifying diagnostic markers.
  • The distinction between MSA subclasses (MSA-P and MSA-C) becomes less relevant as the disease progresses.

Conclusions:

  • There is currently no definitive in-vivo diagnostic method or cure for MSA.
  • Further research into MSA's molecular pathology, particularly gene expression, is crucial.
  • Advances in transcriptome analysis hold promise for earlier diagnosis and better patient care.