6.5.2 · HinglishSystems Biology & Frontiers

Describe gene regulatory networks

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6.5.2 · Biology › Systems Biology & Frontiers


GRN kya hota hai?


Ek gene doosre ko regulate KAISE karta hai? (first principles)

Physical mechanism KYA hai?

  1. Gene transcribe hota hai → mRNA → translate hota hai → protein (aksar ek transcription factor).
  2. Protein DNA tak diffuse hota hai aur gene ke paas ek specific sequence (promoter / operator) se bind karta hai.
  3. Agar , RNA polymerase ko recruit kare → activation. Agar , polymerase ko block kare → repression.

Ise math mein KAISE convert karein? Hum poochte hain: protein kitni tezi se accumulate hota hai?

ke rate of change = (production) − (removal):

Yeh form KYUN? Har protein kisi rate se banaya jaata hai jo uske regulators par depend karta hai, aur kisi rate se destroy/dilute hota hai jo present quantity ke proportional hoti hai (first-order decay). = degradation rate constant.

Input function (Hill function) derive karna

Sirf KYUN nahi? Kyunki binding saturable hoti hai — ek promoter mein binding sites ki ginti limited hoti hai. Jab TF bahut zyada ho jaaye, aur add karne se binding nahi badh sakti. Isliye hum occupancy model karte hain.

Maano promoter se dissociation constant ke saath bind karta hai. Site ke bound hone ki probability:

Yeh fraction KYUN? Equilibrium se ; (bound + unbound) par normalize karne se upar wala fraction milta hai — yeh ek classic saturation curve hai.

Real promoters cooperatively bind karte hain ( TF molecules ek saath), jisse Hill function milta hai:

  • = maximal production rate.
  • = activation threshold ( ki woh value jo half-max deti hai).
  • = Hill coefficient (cooperativity → steepness → switch-like behaviour).

ise switch-like KYUN banata hai: bada curve ko par almost ek step ki tarah bana deta hai — gene essentially OFF phir ON ho jaata hai. Isi tarah analog chemistry se digital-like decisions emerge hoti hain.

Steady state

set karo:

KYUN useful hai? Yeh batata hai ki ek fixed input ke liye final protein level kya hoga — circuit ka "output".


Figure — Describe gene regulatory networks

Network motifs (80/20 core)

Real GRNs kuch baar-baar aane wale wiring patterns se bane hote hain = network motifs (Uri Alon). Yeh 3 seekh lo aur tumhe zyaatar circuits samajh aa jaayenge:


Worked example — kya gene Y switch ON hoga?


Common mistakes


Flashcards

GRN ke nodes aur edges kya hote hain?
Nodes = genes/TFs; edges = directed regulatory interactions (→ activation, ⊣ repression).
GRN ek directed graph KYUN hai?
Regulation causal aur ek edge mein one-way hoti hai: A ka product B ki transcription control karta hai, vice versa nahi.
Regulated protein Y ke liye general ODE likho.
(production minus degradation/dilution).
Hill activation function kya hai?
.
Hill function mein K ka physical meaning kya hai?
Activation threshold — woh TF concentration jo half-maximal expression deta hai.
Hill coefficient n kya control karta hai?
Cooperativity → response ki steepness; bada n ek sharp switch-like ON/OFF deta hai.
Regulated gene ka steady-state output kya hota hai?
(production = degradation).
Negative autoregulation (X ⊣ X) kya achieve karta hai?
Faster response aur reduced noise / homeostatic output level.
Positive feedback kya behaviour create karta hai?
Bistability — cellular memory ke saath ek toggle switch.
Coherent feed-forward loop kya karta hai?
Sign-sensitive delay: brief input pulses filter karta hai, sirf persistent signals par respond karta hai.
Repressilator ko oscillate karne ke liye kaunsi wiring chahiye?
Odd number of repressors ki ek ring (jaise A⊣B⊣C⊣A).
Zyada TF hamesha output kyun nahi badhata?
Promoter binding saturate ho jaati hai; Hill function par plateau karta hai.

Recall Feynman: ek 12-saal ke bachche ko samjhao

Socho ki har gene ek light switch hai, aur har light switch ke paas ek tiny robot arm hai jo doosre switches flip kar sakta hai. Kuch arms switches ON karte hain, kuch OFF karte hain. Saari arms aur switches draw karo aur tumhare paas ek map mil jaata hai ki kaun kise flip karta hai — yahi gene regulatory network hai. Kyunki arms ek doosre par feedback dete hain, cell chalak kaam kar sakta hai: ek room jo switch chodne ke baad bhi jalta rehta hai (memory), ya Christmas lights jo khud blink karti hain (oscillator). Same switches, differently wired → bilkul alag light show. Isi tarah ek gene set se brain cell ya skin cell banti hai.

Concept Map

transcribed and translated

binds

recruits polymerase

blocks polymerase

edge type

edge type

modeled as

nodes and edges give

production term

from saturable binding

params

circuit behaviour

Gene X

Protein X TF

Promoter of gene Y

Activation

Repression

Gene Regulatory Network

Directed graph

dY/dt production minus decay

Hill function f of X

Promoter occupancy P bound

beta K and n cooperativity

Switches oscillators memory