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Related Concept Videos

General Transcription Factors01:30

General Transcription Factors

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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

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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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Human Genetics01:28

Human Genetics

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Human genetics provides a profound framework for understanding the interplay between genetic predispositions and human psychology. At the heart of this discipline lies the study of how genes influence physical traits, behaviors, and susceptibility to diseases. Each person carries a unique genetic code that subtly or significantly shapes their psychological and behavioral landscape.
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Chromatin Position Affects Gene Expression02:35

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Chromatin is the massive complex of DNA and proteins packaged inside the nucleus. The complexity of chromatin folding and how it is packaged inside the nucleus greatly influences  access to genetic information. Generally, the nucleus' periphery is considered transcriptionally repressive, while the cell's interior is considered a transcriptionally active area. 
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Updated: Nov 9, 2025

Obtaining High Quality RNA from Single Cell Populations in Human Postmortem Brain Tissue
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Agonal Factors Distort Gene-Expression Patterns in Human Postmortem Brains.

Jiacheng Dai1,2, Yu Chen1, Rujia Dai3

  • 1Center for Medical Genetics, Department of Psychiatry, School of Life Sciences, National Clinical Research Center on Mental Disorders, The Second Xiangya Hospital, Central South University, Changsha, China.

Frontiers in Neuroscience
|April 12, 2021
PubMed
Summary
This summary is machine-generated.

Agonal factors like fever and infection significantly alter postmortem brain gene expression. Accounting for these pre-death conditions is crucial for accurate molecular analysis of brain tissue.

Keywords:
agonal factorsbrain cell typesgene co-expressiongene expressionpost-mortem brain studies

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Area of Science:

  • Neuroscience
  • Molecular Biology
  • Genomics

Background:

  • Postmortem brain studies are vital for understanding neurological diseases.
  • Gene expression analysis is a key tool in these studies.
  • Agonal factors, conditions before death, can potentially confound results.

Purpose of the Study:

  • To investigate the impact of agonal factors on postmortem brain gene expression.
  • To identify specific agonal conditions that influence molecular profiles.
  • To emphasize the need for correcting agonal factors in data preprocessing.

Main Methods:

  • Utilized gene expression data from 262 ROSMAP study samples.
  • Detailed terminal state information (e.g., fever, infection) was recorded for each donor.
  • Statistical analyses were performed to correlate agonal factors with gene expression changes.

Main Results:

  • Fever and infection were identified as primary contributors to gene expression changes.
  • Agonal factors influenced brain cell-type-specific gene expression and cell proportions.
  • Previous postmortem brain gene expression studies may have been confounded by these factors.

Conclusions:

  • Agonal factors, particularly fever and infection, significantly impact postmortem brain molecular quality.
  • Correction for agonal factors is essential during data preprocessing for accurate gene expression analysis.
  • Future study designs should meticulously document and account for agonal conditions.