Grieneisen_DynamicalCell_Lecture2024

Biology Notes

Page 1

  • Speaker: Verônica A. Grieneisen from Cardiff University, UK

  • Topic: Systems Biology of the Cell

Page 3

  • Cells need to:

    • Divide and know when to stop

    • Move to other places and stay put

    • Differentiate into the appropriate cell type

    • Function physiologically and biophysically

  • To achieve the above, cells need to communicate, stick together, and become polar.


    auto-organisation and regeneration

the hydra species can regeneration

it is very simple as well as it has an outer and inner cell layer.

auto-organisation

page 6???

how can we understand the auto-organisation and cell sorting

cell have adhesion they can exhibit differential adhesion.

Page 9

  • Differential Adhesion Hypothesis:

    • Proposed by Steinberg in 1963 that cell sorting could be explained as driven by differential adhesion cell type within tissue.

    • Cell sorting is driven by differential adhesion between cell types in a tissue

    • Cells with higher adhesion form tissues with higher surface tension

  • bekijk de bladzijde tien nog een keer want je begrijpt het niet


Page 11

  • In silico Cell Modelling:

    • Using computer models to test hypotheses

    • Cellular Potts Model invented by Graner & Glaziar in 1992


Page 12

green arrow represents the adhesion drive

Page 13

  • In Silico Cells:

    • Non-polar with small membrane fluctuations

    • Cells round up alone but form honey-comb lattice shapes when in contact with others


Page 15

  • Adhesion Mechanisms:

    • Mediated by cadherins expressed on cell membranes

    • Two-tiered mechanism for stabilization and immobilization of E-cadherin


Page 16

  • Key Messages:

    • adhesion differences between different cell types will lead to tissue seperating or “auto-organising“

    • Computer models can test hypotheses

    • Auto-organisation follows simple rules driven by adhesion differences

  • complex plant morphology

  • gene regulatory

  • plant-soil interaction

  • environmental condition

  • ecological interaction


Page 22

  • Auxin:

    • Indole-3-acetic acid

    • Regulates cell division, differentiation, and elongation

    • auxin move through specialised membrane transporter


Page 25

  • Auxin Gradients:

    • Instructive for development

    • Stable growth due to dynamic auxin flows


Page 27

  • Learnings:

    • Coordinated transporter direction organizes roots

    • Dynamic auxin flows lead to stable growth and provide instructions

Page 29

  • Complexity of Cells:

    • Cells are more complex than simple rules suggest

Page 30

  • Keratocyte:

    • A single moving cell discussed

Conclusion

  • The study of cell dynamics, adhesion, and modeling plays a crucial role in understanding cell behavior and organization.

Biology Notes

Page 31

  • Main Ideas:

    • Actin cytoskeleton in animal cells plays a role in cell deformation and motility.

    • Involvement of G-actin, F-actin, and sidebranching by Arp2/3.

Page 32

  • Main Ideas:

    • Core internal cell dynamics in animal cells involve Cdc42, Rac, Rho, WASp, WAVE, PIP2, ROCK, Arp2/3, capping, and contraction protein.

Page 33

  • Main Ideas:

    • Continuation of core internal cell dynamics in animal cells with a focus on front and back dynamics involving Cdc42, Rac, Rho, WASp, WAVE, PIP2, ROCK, Arp2/3, capping, and contraction protein.


Page 34

  • Main Ideas:

    • Small G-proteins act as molecular switches with GTP and GDP.

    • Involvement of GEF, Rho, Rho GDP, GTP, GDI, GAP, and effectors in G-protein signalling.

Page 35

  • Main Ideas:

    • Polarity in animal cells with Rac and Cdc42 at the front and Rho at the back.

Page 36

  • Main Ideas:

    • Systems biology approach to understanding cell dynamics.

    • Crosstalk between G-proteins through GEFs and the role of GTP and GDP in signaling pathways.

Page 37

  • Main Ideas:

    • Small G-protein interactions contribute to polarity in cells.

    • Importance of fast cytosolic diffusion and slow membrane diffusion.

Page 38

  • Main Ideas:

    • Cells exhibit movement due to reactions between proteins and differential diffusion.

    • Patterns can emerge without external cues based on protein interactions.

Page 39

  • Main Ideas:

    • Steering of the cytoskeleton by small G-proteins like Rho, Rac, and Cdc42.

Page 40

  • Main Ideas:

    • Dynamic spatial settings in cell biology research.

Page 41

  • Main Ideas:

    • Integration of systems biology in understanding cell dynamics in a dynamic spatial setting.

Page 42

  • Main Ideas:

    • Evaluation of the effectiveness of biological models in learning new insights.

Page 43

  • Main Ideas:

    • Learning from cellular processes that deviate from the norm, such as interactions when cells encounter obstacles.

Page 44

  • Main Ideas:

    • Exploration of conflicts and resolutions involving small G-proteins like Cdc42, Rac, and Rho.

    • Involvement of cytoskeleton components like Arp2/3, capping, and contraction in cell dynamics.

Page 45

  • Main Ideas:

    • Utilizing cell biochemistry to understand cell shape, movement, sensitivity, and conflict resolution.

Page 46

  • Main Ideas:

    • Individual cell behavior in the context of cellular models.

Page 47

  • Main Ideas:

    • Collective behavior of multiple model cells influenced by spatial constraints rather than signaling pathways.

Page 48

  • Main Ideas:

    • Cells organize through properties like adhesion, polarity, and communication.

    • Use of models to explore interactions between different levels in biology.

    • Examples of cell sorting, plant morphogenesis, and shared mechanisms in animal and plant cells.

    • Importance of imaging and systems biology thinking in understanding cellular processes.

Page 49

  • Main Ideas:

    • Plant cells also exhibit polarity and steering mechanisms similar to animal cells.

    • Studies