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Related Concept Videos

General Transcription Factors01:30

General Transcription Factors

6.2K
Tissue-specific transcription factors contribute to diverse cellular functions in mammals. For example, the gene for beta globin, a major component of hemoglobin, is present in all cells of the body. However, it is only expressed in red blood cells because the transcription factors that can bind to the promoter sequences of the beta globin gene are only expressed in these cells. Tissue-specific transcription factors also ensure that mutations in these factors may impair only the function of...
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Transcription Factors02:16

Transcription Factors

80.3K
Tissue-specific transcription factors contribute to diverse cellular functions in mammals. For example, the gene for beta globin, a major component of hemoglobin, is present in all cells of the body. However, it is only expressed in red blood cells because the transcription factors that can bind to the promoter sequences of the beta globin gene are only expressed in these cells. Tissue-specific transcription factors also ensure that mutations in these factors may impair only the function of...
80.3K

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Predicting tissue-specific gene expression from whole blood transcriptome.

Mahashweta Basu1, Kun Wang2, Eytan Ruppin3

  • 1Institute for Genome Sciences, University of Maryland, Baltimore, MD, USA.

Science Advances
|April 3, 2021
PubMed
Summary
This summary is machine-generated.

Whole blood gene expression can predict tissue-specific gene expression for most genes across 32 tissues. This blood-based prediction is nearly as effective as direct tissue measurement for disease state prediction.

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Area of Science:

  • Genomics
  • Systems Biology
  • Translational Medicine

Background:

  • Complex diseases involve transcriptional dysregulation across multiple tissues.
  • Obtaining tissue-specific gene expression typically requires invasive procedures.
  • Non-invasive methods for assessing tissue-specific gene expression are highly desirable.

Purpose of the Study:

  • To determine if tissue-specific gene expression can be accurately inferred from whole blood transcriptome data.
  • To evaluate the utility of inferred tissue-specific expression in predicting complex disease states.

Main Methods:

  • Analysis of whole blood transcriptomes to predict gene expression in 32 different human tissues.
  • Comparison of predictive accuracy across genes and tissues.
  • Assessment of the performance of inferred tissue-specific expression versus whole blood expression in predicting disease status for six complex disorders.

Main Results:

  • Whole blood transcriptome significantly predicts tissue-specific expression for approximately 60% of genes on average across 32 tissues.
  • Predictive accuracy reached up to 81% for skeletal muscle gene expression.
  • Inferred tissue-specific expression demonstrated comparable performance to actual tissue expression in predicting disease states, significantly outperforming whole blood transcriptome data.

Conclusions:

  • Tissue-specific gene expression can be reliably inferred from non-invasive whole blood samples.
  • This approach offers a promising non-invasive method for health assessment and disease prediction.
  • The TEEBoT code is available for further research and clinical applications.