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Related Concept Videos

Transformation01:26

Transformation

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Microbial communities are dynamic environments where cell lysis releases free DNA into the surroundings. Other cells can take up this extracellular DNA through a process known as transformation.When a cell incorporates this foreign DNA into its genome, resulting in genetic modification, the process is known as transformation. Cells capable of this process are termed competent. Competence can be natural, as observed in certain bacteria and archaea, or artificially induced in the...
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Bacterial Transformation01:33

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In 1928, bacteriologist Frederick Griffith worked on a vaccine for pneumonia, which is caused by Streptococcus pneumoniae bacteria. Griffith studied two pneumonia strains in mice: one pathogenic and one non-pathogenic. Only the pathogenic strain killed host mice.
Griffith made an unexpected discovery when he killed the pathogenic strain and mixed its remains with the live, non-pathogenic strain. Not only did the mixture kill host mice, but it also contained living pathogenic bacteria that...
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VSEPR Theory for Determination of Electron Pair Geometries
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Impedance Combination01:21

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Consider a string of christmas lights, each bulb symbolizing an impedance element. In this series configuration, the flow of electric current remains uniform across every component. This behavior aligns with Kirchhoff's Voltage Law (KVL), which asserts that the total impedance in such a setup equals the sum of individual impedances—akin to resistors in series. It follows that the voltage from the power source is distributed proportionally among these components, adhering to the voltage...
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Impedances and Admittance01:23

Impedances and Admittance

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In the realm of AC circuits, passive circuit elements like resistors, inductors, and capacitors take on a different character when characterized by phasor voltage and current. Their behavior is expressed through impedance, a vital concept in AC circuit analysis.
Impedance is a measure of resistance to sinusoidal current flow in an AC circuit. Unlike their behavior in DC circuits, where inductors appear as short circuits and capacitors as open circuits, the behavior of these components in AC...
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Prediction Intervals01:03

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The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y. 
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Related Experiment Video

Updated: Jan 28, 2026

Performing In Vivo and Ex Vivo Electrical Impedance Myography in Rodents
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Electrical impedance measurements predict cellular transformation.

Giljun Park1, Chang K Choi, Anthony E English

  • 1The University of Tennessee, Department of Microbiology, Knoxville, 37996, USA.

Cell Biology International
|April 10, 2009
PubMed
Summary
This summary is machine-generated.

Electronic Cell-Substrate Impedance Sensing (ECIS) provides a rapid and reliable method to detect cellular transformation, a key step in cancer development. This technique assesses cell proliferation and attachment in real-time, aiding in anti-cancer drug screening.

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Area of Science:

  • Oncology
  • Cell Biology
  • Biotechnology

Background:

  • Cellular transformation, characterized by uncontrolled proliferation and loss of contact inhibition, is the initial stage of cancer development.
  • Electronic Cell-Substrate Impedance Sensing (ECIS) is a non-invasive technique used to monitor cellular behaviors like proliferation, cytotoxicity, apoptosis, and attachment.
  • Constitutively active chemokine receptors, such as CXCR2, can induce cellular transformation.

Purpose of the Study:

  • To evaluate the efficacy of ECIS in distinguishing normal cells from transformed cells.
  • To assess the correlation between ECIS measurements and traditional biological assays for cellular transformation.
  • To explore the potential of ECIS for real-time monitoring of transformed cellular parameters.

Main Methods:

  • NIH3T3 cells were engineered to express a constitutively active mutant of the chemokine receptor CXCR2 (D143V_CXCR2).
  • Cellular transformation was assessed using standard biological assays, including growth in reduced serum and foci formation.
  • Impedance measurements were performed using the ECIS system to monitor cellular characteristics.

Main Results:

  • ECIS measurements successfully differentiated between normal NIH3T3 cells and those transformed with D143V_CXCR2.
  • Impedance data correlated well with results from established biological assays for cellular transformation.
  • The ECIS system provided real-time assessment of transformed cellular parameters, demonstrating its utility and reliability.

Conclusions:

  • Impedance measurements using ECIS offer a rapid, reliable, and real-time method for assessing cellular transformation.
  • ECIS can effectively distinguish between normal and transformed cells based on their impedance profiles.
  • The ECIS system holds promise for high-throughput screening of anti-cancer drugs targeting cellular transformation.