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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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Multicellular organisms contain a variety of structurally and functionally distinct cell types, but the DNA in all the cells originated from the same parent cells. The differences in the cells can be attributed to the differential gene expression. Liver cells, whose functions include detoxification of blood, production of bile to metabolize fats, and synthesis of proteins essential for metabolism, must express a specific set of genes to perform their functions. Gene expression also varies with...
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The gene expression in cells is regulated at different stages: (i) transcription, (ii) RNA processing, (iii) RNA localization, and (iv) translation. Transcriptional regulation is mediated by regulatory proteins such as transcription factors, activators, or repressors—these control gene expression by initiating or inhibiting the transcription of genes. Once a precursor or pre-mRNA is produced, it undergoes post-transcriptional modification, including 5' capping, splicing, and the...
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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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Organization of Genes02:07

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Related Experiment Video

Updated: Oct 12, 2025

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
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Gene expression associated with individual variability in intrinsic functional connectivity.

Liangfang Li1, Yongbin Wei2, Jinbo Zhang1

  • 1Department of Psychology, Sun Yat-sen University, Guangzhou 510006, China.

Neuroimage
|November 20, 2021
PubMed
Summary

Intersubject variability in functional connectivity (FC) shows distinct spatial patterns, particularly in association cortices. Gene expression profiles, especially those linked to human accelerated regions (HARs), significantly explain these variations in FC patterns.

Keywords:
Functional connectivityGene expressionIntersubject variabilityMetabolismResting-state fMRI

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Area of Science:

  • Neuroimaging
  • Genetics
  • Cognitive Neuroscience

Background:

  • Intersubject variability (ISV) in intrinsic functional connectivity (FC) correlates with cognitive and behavioral differences.
  • The organizational principles and genetic underpinnings of ISV in FC are not well understood.

Purpose of the Study:

  • To investigate the spatial distribution of ISV in intrinsic FC.
  • To explore the association between spatial gene transcriptional profiles and ISV in FC.

Main Methods:

  • Utilized resting-state fMRI data from the Human Connectome Project (299 adults).
  • Employed microarray gene expression data from the Allen Human Brain Atlas.
  • Conducted a transcription-neuroimaging association study using partial least squares regression.

Main Results:

  • Multimodal association cortices exhibited the highest ISV in FC, while unimodal and subcortical areas showed the least.
  • Transcriptional profiles of genes associated with human accelerated regions (HARs) explained 31.29% of the spatial variation in ISV.
  • Top-related genes were enriched in central nervous system development, neurogenesis, and synaptic components.
  • Cerebral blood flow configuration significantly mediated the influence of gene expression on ISV distribution.

Conclusions:

  • Identified specific spatial patterns of ISV in intrinsic FC.
  • Demonstrated a significant link between gene expression profiles (particularly HARs-related genes) and ISV in FC.
  • Highlighted the mediating role of cerebral blood flow in this relationship, offering insights into brain organization and variability.