4 | Article: Hoffman et al (2002) The IkappaB-NF-kappaB signaling module: temporal control and selective gene activation Flashcards

1
Q

What is NFκB ?

A

transcription factor with key role in proliferation, cell death, development and innate / adaptive immune responses

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2
Q

NFkB

what is it involved in?

A

involved in cellular responses to stimuli such as stress, cytokines, free radicals, heavy metals, ultraviolet irradiation, oxidized LDL, and bacterial or viral antigens

plays a key role in regulating the immune response to infection.

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3
Q

NFkB

What can incorrect regulation lead to?

A

linked to cancer, inflammatory and autoimmune diseases, septic shock, viral infection, and improper immune development

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4
Q

What is the main focus of this study on NF-κB signaling?

A
  • temporal control of NF-κB activation
  • by the coordinated degradation and synthesis of IκB proteins (α, β, and ε)
  • how this affects gene expression specificity.
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5
Q

How does IκBα contribute to NF-κB regulation?

A
  • strong negative feedback
  • allows for fast turn-off of NF-κB response
  • mediates rapid NF-κB activation.
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6
Q

What roles do IκBβ and IκBε play in NF-κB regulation?

A
  • reduce system’s oscillatory potential, stabilize NF-κB responses during longer stimulations.
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7
Q

What is the characteristic NF-κB activation profile in response to TNF-α stimulation?

A
  • profile resembles strongly damped oscillations
  • two phases of activation observed in various human and mouse cell lines.
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8
Q

How does the NF-κB response differ in cells containing only IκBα compared to those with only IκBβ or IκBε?

A
  • Only IκBα: highly oscillatory NF-κB response,
  • Only IκBβ or IκBε: monotonic increase to plateau, no notable subsequent repression.
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9
Q

What does the computational model reveal about the interplay between IκB isoforms?

A
  • interplay between IκB isoforms can result in rapid responses to stimulation onset/cessation
  • allows for a relatively stable NF-κB response during long-term stimulation.
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10
Q

How do transient stimuli affect NF-κB activation duration?

A
  • consistent NF-κB activation durations regardless of stimulus length within first hr
  • equivalent to the first peak of persistently stimulated NF-κB activity.
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11
Q

What are the bimodal signal processing characteristics of the IκB-NF-κB signaling module?

A
  • long stimulations: NF-κB activation lasts as long as the stimulus.
  • stimulations < 1 hr: duration of response is largely invariant → even short stimulations result in substantial NF-κB activation.
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12
Q

What does the study suggest about IκB gene expression?

A
  • The study indicates previously unrecognized crossregulation in expression of IκB genes
  • IκBβ and IκBε mRNA synthesis parameters: ca sevenfold lower than in single-IκB models.
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13
Q

How might cells or cell lineages alter the responsiveness of the NF-κB signal transduction pathway?

A

vary relative synthesis levels of IκBα, β, ε in response to environmental/developmental cues

→ alter NF-κB pathway responsiveness.

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14
Q

How did the IκBα mutant (IκBβ-/-, IκBε-/-) respond to TNF-α stimulation?

A

The IκBα mutant exhibited a highly oscillatory NF-κB response with four equally spaced peaks over the course of the 6-hour experiment.

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15
Q

How did the IκBβ mutant (IκBα-/-, IκBε-/-) respond to TNF-α stimulation?

A

The IκBβ mutant showed a monotonic increase in NF-κB activity to a plateau within 1 hour, with no notable subsequent repression.

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16
Q

How did the IκBε mutant (IκBα-/-, IκBβ-/-) respond to TNF-α stimulation?

A

The IκBε mutant also showed a monotonic increase in NF-κB activity to a plateau within 1 hour, similar to the IκBβ mutant, with no notable subsequent repression.

17
Q

How do the different IκB isoforms work together in wild-type cells according to the model based on Figure 2b?

A

Interplay between IκB isoforms results in
- rapid responses to stimulation onset or cessation (IκBα)
- relatively stable NF-κB response during long-term stimulation (IκBβ and IκBε: dampening)

18
Q

Figure 2 shows model predictions made in the article “The IκB-NFκB Signaling Module: Temporal Control and Selective Gene Activation” by Hoffmann et al. (2002).

[shown are figures 2C and 2D from the paper
2C = model of mutants with one isoform
2D = model with all isoforms at varying expression levels]

Which mutants were simulated in Figure 2a? Explain how these mutants helped the authors to estimate the parameters of the model.

(2023_1, 2021_1, 2020_2)

A

[figure 2 overall shows experimental data and modelling after stimulation with TNF-alpha.
2C = model of mutants with one isoform
2D = model with all isoforms at varying expression levels, alpha is constant, beta and epsilon are increased from top to bottom ]

  • knockouts → fibroblasts that contain only one IκB isoform.
  • analysis → estimate specific roles and kinetic parameters of each IκB isoform in regulating NF-κB dynamics.
  • allowed for fitting of model to experimental data
  • provided insights into ODEs of IκBα, IκBβ, and IκBε.
19
Q

The figure shows model predictions made in the article “The IκB-NFκB Signaling Module: Temporal Control and Selective Gene Activation” by Hoffmann et al. (2002).

[shown are figures 2C and 2D from the paper
2C = model of mutants with one isoform
2D = model with all isoforms at varying expression levels]

According to the Figure 2b [=2D in paper] what are the roles of the different IκB isoforms?

(2023_1, 2021_1)

A

[figure 2 overall shows experimental data and modelling after stimulation with TNF-alpha.
2C = model of mutants with one isoform
2D = model with all isoforms at varying expression levels, alpha is constant, beta and epsilon are increased from top to bottom ]

IκBα:
- rapid NF-κB activation, strong negative feedback regulation

IκBβ and IκBε
- respond more slowly to IKK activation
- act to dampen long-term oscillations of the NF-κB response.
- only IκBβ or IκBε: NF-κB increases monotonically to plateau, no subsequent repression.

20
Q

Hoffman et al. - Fig 2E and F

How did the authors interpret the results shown in these figures?

(2022_1)

A
  • The experimental data (Fig. 2E) shows complex NF-κB activation pattern
  • The computational model (Fig. 2F) was able to reproduce this complex activation pattern with good qualitative and quantitative agreement.

→ justifies use as predictive tool in experimentation

(also: was found that mRNA synthesis parameters for IκBβ and IκBε in WT model about 7fold lower than single-IκB-isoform models, suggesting previously unrecognized cross-regulation in IκB gene expression.)

21
Q

Hoffman et al. - Fig 2E and F

How did the authors arrive at the model parametrization used in their simulation?

(2022_1, 2012_2)

A

multi-step approach:

  • Used previously determined biochemical parameters from literature where available.
  • Created genetically reduced systems (knockout cell lines) to constrain parameter values.
  • Employed various parameter estimation methods, including:
    • Random search (most successful)
    • Steepest gradient descent
    • Genetic algorithm
  • Manually adjusted params. within SD limits → improve qualit. fits, esposcillatory beh.
  • For the wild-type model:
    • Combined models of simplified signaling modules
    • Initially used transcription rates from knockout studies
    • Adjusted IκBβ and IκBε mRNA synthesis parameters to fit wild-type experimental data
    • Found these parameters to be about 7-fold lower than in single-IκB models
  • Focused on qualit. fitting rather than exact param. Est (concl. not dep. on precise values.)
  • Primarily adjusted parameters for:
    • Rates of transcription and translation of IκB isoforms
    • Rate of IκB-NF-κB nuclear export
    • NF-κB nuclear import rate
22
Q

Hoffman et al. - Fig 2E and F

Name two aspects how the graphical presentation could be improved to allow for a better comparison of experimental data and simulation results.

(2022_1)

A
  1. Use same time scale for experimental data and simulation results (currently, experimental data uses a non-linear time scale while simulations use a linear scale).
  2. Present experimental data, simulation results on same graph for direct visual comparison.
23
Q

Hoffman et al. - Fig 2E and F

Name one aspect of the experimental data that the model simulations don’t reproduce.

(2022_1)

A

Maybe means the expression levels (synthesis parameters)?
[It was found that the mRNA synthesis parameters for IκBβ and IκBε in wild-type model were about sevenfold lower than in single-IκB models, suggesting previously unrecognized cross-regulation in IκB gene expression.]

or:
model simulations appear smoother and more idealized than the experimental data, which shows more variability not captured in the simulations.

24
Q

Explain the main question discussed in the article.

(2020_2)

A

Role of the three different IκB isoforms in regulating NFκB response

25
Q

State one main result of the article

(2020_2)

State two results of the article

(2012_2)

A

Roles of three isoforms:
- IκBα responsible for strong negative feedback → fast turn-off of NF-κB response
- IκBβ, IκBε function to reduce system’s oscillatory potential
→ together the three isoforms make make possible bimodal signal processing characteristics (both qualitative and quantitative)

26
Q

Use Figure 5 [ illustration of NFkB signalling module] to briefly summarize the biological system that was examined in the article “The IκB-NFκB Signaling Module: Temporal Control and Selective Gene Activation” by Hoffmann et al. (2002).

(2020_2)

A

The article examined the IκB-NFκB signaling module, which consists of:
- NFκB, TF that regulates numerous genes involved in cellular processes
- 3 IκB isoforms (IκBα, IκBβ, IκBε), inhibit NFκB by binding to it, keeping in cyt
- IKK (IκB kinase), which after being activated phosphorylates IκB proteins, leading to their degradation and allowing NFκB to enter the nucleus