Multi-scale computational investigation of functions and mechanisms of protein-RNA phase separation.

Information

  • Research Project
  • 10263170
  • ApplicationId
    10263170
  • Core Project Number
    R35GM138243
  • Full Project Number
    5R35GM138243-02
  • Serial Number
    138243
  • FOA Number
    PAR-17-190
  • Sub Project Id
  • Project Start Date
    9/15/2020 - 4 years ago
  • Project End Date
    7/31/2025 - 10 months from now
  • Program Officer Name
    RAVICHANDRAN, VEERASAMY
  • Budget Start Date
    8/1/2021 - 3 years ago
  • Budget End Date
    7/31/2022 - 2 years ago
  • Fiscal Year
    2021
  • Support Year
    02
  • Suffix
  • Award Notice Date
    8/17/2021 - 3 years ago
Organizations

Multi-scale computational investigation of functions and mechanisms of protein-RNA phase separation.

PROJECT SUMMARY/ABSTRACT In recent years there has emerged a striking realization that liquid-liquid phase separation of proteins and nucleic acids is responsible for the formation of various intracellular membraneless organelles. Examples of organelles formed by phase separation are nucleoli and Cajal bodies in the nucleus and stress granules and P granules in the cytoplasm. The phase separation of protein-RNA composites, in particular, is being appreciated for crucial roles of connecting gene regulatory processes with the phenotypic complexity of eukaryotes. Despite the appar- ent biological signi?cance and extensive experimental efforts, our understanding of the mechanisms which link protein-RNA phase separation with the transcriptional and catalytic processes is still lacking. The fundamental challenges stem from (i) The molecular heterogeneity and conformational ?exibility of RNA and proteins, which contain low complexity disordered regions (ii) The juxtaposition of molecular and cellular scales (iii) Presence of non-equilibrium effects due to biochemical reactions, ATP driven processes, and irreversible bio-polymer ?uxes. The current theoretical and computational paradigms often lack optimal spatio-temporal resolution and the right combination of physical insights for confronting the complex experimental data in a comprehensive and integrative manner. Here, I propose using multi-scale computational tools developed in our lab combined in conjunction with data-driven approaches for revealing general mechanistic principles of protein-RNA phase separation and its link with the functional regulatory processes. The proposal consists of three directions. In the ?rst direction, we focus on hierarchical coarse-graining of proteins and RNA for studying thermodynamic driving forces of liquid-liquid phase separation in in vitro via molecular dynamics techniques. In the second direction, we employ ?nite-element and reaction-diffusion simulations trained by molecular models and experimental data for studying the connec- tion of liquid-liquid phase separation with transcriptional and catalytic reactions, which is characteristic of in vivo conditions. In the third direction, we assess the impact of protein-RNA phase separation generic gene regulatory networks by using stochastic dynamics simulations. The speci?c systems chosen for the study are experimen- tally well-characterized RNA binding proteins FUS, TDP-43, Tau, hnrpa1, and hnrpa2. These systems are known for forming liquid protein-RNA condensates under usually regulated conditions and aggregated structures when misregulated, thereby leading to major neurodegenerative diseases. The completion of the proposed research program will elucidate the nature of the protein-RNA phase sepa- ration its link with functional biochemical reactions and provide much-needed insights for developing intervention strategies for halting protein aggregation into diseases inducing cellular bodies.

IC Name
NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES
  • Activity
    R35
  • Administering IC
    GM
  • Application Type
    5
  • Direct Cost Amount
    227498
  • Indirect Cost Amount
    112604
  • Total Cost
    340102
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    859
  • Ed Inst. Type
    SCHOOLS OF ARTS AND SCIENCES
  • Funding ICs
    NIGMS:340102\
  • Funding Mechanism
    Non-SBIR/STTR RPGs
  • Study Section
    ZRG1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    IOWA STATE UNIVERSITY
  • Organization Department
    CHEMISTRY
  • Organization DUNS
    005309844
  • Organization City
    AMES
  • Organization State
    IA
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    500112025
  • Organization District
    UNITED STATES