This repository describes the setup and simulation details for a coarse-grained model of chromatin and lamin interactions, inspired by experimental data from the mouse C2C12 cell line (GRCm38/mm10).
- A 10.7 Mbp region of mouse chromosome 18 was modeled.
- Chromatin is represented as a heteropolymer chain with:
- 2140 beads
- Each bead corresponds to 5 kbp of DNA (~25 nucleosomes)
- Bead diameter:
σ - Beads are classified as:
- Euchromatin (EC)
- Heterochromatin (HC)
Bead classification is based on H3K9me3 ChIP-seq enrichment.
- Lamins are modeled as coarse-grained particles with:
- Diameter:
σ_L = σ / 2 - Total count: 2000 lamin particles
- Diameter:
- Dimensions:
20σ × 20σ × 35σ(x, y, z) - Periodic boundary in
x,y; fixed boundary inz- Simulates confinement near the nuclear envelope
Chromatin:
V_chromatin / V_box = (2140 × 4πσ³/24) / (14000σ³) ≈ 0.08
Lamin:
V_lamin / V_box = (2000 × 4πσ³/192) / (14000σ³) ≈ 0.01
The total energy of the system is:
U = Σ_{i=1}^{N-1} U_spring(|r_{i+1}-r_i|) + Σ_{i=1}^{N-1} Σ_{j=i+1}^{N} U_pair(|r_j - r_i|)
Used for polymer backbone connectivity:
U_spring(r) = -½ k R₀² ln[1 - (r / R₀)²]
k = 30 k_B T / σ²R₀ = 1.6σ
Depending on the context, either Lennard-Jones (LJ) or WCA (purely repulsive LJ) potential is used.
U_LJ(r) =
4ε[(σ/r)^12 - (σ/r)^6], r < 1.8σ
0, r ≥ 1.8σ
U_WCA(r) =
4ε[(σ/r)^12 - (σ/r)^6] + E_cut, r < 1.12σ
0, r ≥ 1.12σ
Where the shift:
E_cut = -4ε[(σ/r_c)^12 - (σ/r_c)^6], r_c = 1.12σ
z = +17.5σ(upper): Attractive LJ interaction (nuclear membrane with lamin)z = -17.5σ(lower): Completely repulsive for all particles
| Interaction Type | Potential Used | Notes |
|---|---|---|
| Chromatin–Chromatin | LJ / WCA | EC–EC, HC–HC, HC–EC types |
| Lamin–Lamin | LJ | |
| Chromatin–Lamin | LJ / WCA | HC-Lamin attractive interaction |
| Wall (Top)–Lamin | LJ / WCA | Simulates membrane |
| Wall (Bottom)–All | WCA | No penetration |
Cardiomyopathic mutations of lamin A perturb mutual interactions of lamin, nuclear membrane, and chromatin leading to LLPS Subhradip Nath, Shuvadip Dutta, Shreyasi Dey Sarkar, Duhita Sengupta, Mithun K. Mitra, Kaushik Sengupta bioRxiv 2024.10.07.616979; doi: https://doi.org/10.1101/2024.10.07.616979
This repository is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).