Dissecting interactions across gene regulatory layers in single cells

Information

  • Research Project
  • 10173843
  • ApplicationId
    10173843
  • Core Project Number
    R35GM133461
  • Full Project Number
    5R35GM133461-03
  • Serial Number
    133461
  • FOA Number
    PAR-17-190
  • Sub Project Id
  • Project Start Date
    8/1/2019 - 5 years ago
  • Project End Date
    5/31/2024 - 8 months ago
  • Program Officer Name
    PHILLIPS, ANDRE W
  • Budget Start Date
    6/1/2021 - 3 years ago
  • Budget End Date
    5/31/2022 - 2 years ago
  • Fiscal Year
    2021
  • Support Year
    03
  • Suffix
  • Award Notice Date
    6/14/2021 - 3 years ago

Dissecting interactions across gene regulatory layers in single cells

ABSTRACT Biological processes are controlled by multiple genes working in concert to achieve a given function. This phenomenon is apparent in genetic interactions, defined as a phenotype observed in a double mutant not easily explained by the phenotypes in the respective single mutants. While genetic interactions have long been recognized as important drivers of animal phenotypes, it has not been possible to perform genetic interaction analysis in animals in a systematic, null allele, reverse-genetics fashion. This is a critical gap, because understanding healthy and disease states in animals requires an appreciation of how multiple genes coordinately affect a given phenotype. To overcome this gap, we have developed a CRISPR/Cas9 toolkit that enables targeted genome modification and subsequent genetic interaction analysis in the nematode worm Caenorhabditis elegans, thus enabling for the first time systematic targeted genetic interaction profiling in animals. We will focus on genetic interactions among factors regulating gene expression. Proper gene expression is controlled by multiple layers of regulation (e.g. transcription, RNA processing, translation) but little is known about how these layers are coordinated at the level of single cells. The first direction of the lab therefore is to profile genetic interactions between different layers of gene expression, specifically focusing on transcription factors (TFs) and RNA binding proteins (RBPs). Double mutant combinations with unexpected phenotypes will be the entry point to mechanistic understanding of how combinations of TFs and RBPs coordinately control gene expression. The second direction of the lab will be to understand the regulation of alternative splicing at the single cell level by combinations of TFs and RBPs. Individual cell types can be defined by the presence of TFs and the resulting gene expression patterns, but can also be further refined by the presence of splicing factors and the resulting isoforms expressed. We have created a large number of in vivo splicing reporters in C. elegans and found extensive alternative splicing at the single cell level. Using a combination of forward and reverse genetics we have identified a number of splicing factors, as well as a surprising number of TFs, important for specific alternative splicing regimes at the single cell level. We now plan to investigate the mechanisms by which these factors combine to control splicing at the single cell level, as well as the functional consequences of such splicing. Together these directions will represent a key advance in our understanding of combinatorial action of gene regulatory factors and how they coordinately ensure proper gene expression.

IC Name
NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES
  • Activity
    R35
  • Administering IC
    GM
  • Application Type
    5
  • Direct Cost Amount
    250000
  • Indirect Cost Amount
    108941
  • Total Cost
    358941
  • Sub Project Total Cost
  • ARRA Funded
    False
  • CFDA Code
    859
  • Ed Inst. Type
    SCHOOLS OF ARTS AND SCIENCES
  • Funding ICs
    NIGMS:358941\
  • Funding Mechanism
    Non-SBIR/STTR RPGs
  • Study Section
    ZGM1
  • Study Section Name
    Special Emphasis Panel
  • Organization Name
    SOUTHERN METHODIST UNIVERSITY
  • Organization Department
    BIOLOGY
  • Organization DUNS
    001981133
  • Organization City
    DALLAS
  • Organization State
    TX
  • Organization Country
    UNITED STATES
  • Organization Zip Code
    752750302
  • Organization District
    UNITED STATES