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Related Concept Videos

Cell Specific Gene Expression01:58

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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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A gene is a stretch of DNA that serves as the blueprint for functional RNAs and proteins. Since DNA is comprised  of nucleotides and proteins are comprised of amino acids, a mediator is required to convert the information encoded in DNA into proteins. This mediator is the messenger RNA (mRNA). mRNA copies the blueprint from DNA by a process called transcription. In eukaryotes, transcription occurs in the nucleus by complementary base-pairing with the DNA template. The mRNA is then...
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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: Jan 22, 2026

Using an Automated Cell Counter to Simplify Gene Expression Studies: siRNA Knockdown of IL-4 Dependent Gene Expression in Namalwa Cells
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Forecasting cell fate during antibiotic exposure using stochastic gene expression.

Nicholas A Rossi1,2, Imane El Meouche2,3, Mary J Dunlop1,2,3

  • 11Molecular Biology, Cell Biology & Biochemistry Program, Boston University, Boston, MA 02215 USA.

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Antibiotic resistance varies between individual bacterial cells due to differences in gene expression. Higher initial expression of certain genes, like those in stress response, correlates with longer survival times during antibiotic treatment.

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Area of Science:

  • Microbiology
  • Molecular Biology
  • Genetics

Background:

  • Antibiotic efficacy is often evaluated at the population level, masking individual cell responses.
  • Variability in gene expression within a bacterial population leads to differences in stress resistance.
  • Stochastic gene expression contributes to heterogeneous responses to antibiotic stress.

Purpose of the Study:

  • To investigate the relationship between pre-antibiotic single-cell gene expression and subsequent survival time.
  • To identify specific genes where expression levels influence antibiotic tolerance.
  • To understand the role of cell-to-cell variation in antibiotic killing dynamics.

Main Methods:

  • Quantification of single-cell death times under antibiotic exposure.
  • Simultaneous measurement of reporter gene expression levels in individual cells.
  • Analysis of diverse genes involved in stress response, metabolism, and other cellular processes.

Main Results:

  • A strong correlation was observed between initial gene expression levels and cell survival times for certain genes.
  • Genes involved in stress response and metabolism showed a significant link between expression and survival duration.
  • Single-cell analysis revealed non-uniformity in antibiotic killing dynamics.

Conclusions:

  • Pre-antibiotic gene expression levels significantly impact individual cell survival times.
  • Cell-to-cell variation in expression of specific genes contributes to prolonged antibiotic survival.
  • Understanding single-cell heterogeneity is crucial for developing effective antibiotic therapies.