Skip to search boxSkip to navigationSkip to main content

Identification of common and cell type specific LXXLL motif EcR cofactors using a bioinformatics refined candidate RNAi screen in Drosophila melanogaster cell lines

  • Melissa B. Davis(corresponding author)
    ,
  • Inigo Sangil
    ,
  • Grace Berry
    ,
  • Rashidat Olayokun
    ,
  • Lori H. Neves
*Corresponding author for this work
  • University of Georgia
    ,
  • Yale University
    ,
  • University of New Mexico
    ,
  • Columbia University
    ,
  • Southern Connecticut State University
Scholary Output:
Contribution to journal
Article
Peer-review

Open access

Abstract

Background: During Drosophila development, titers of the steroid ecdysone trigger and maintain temporal and tissue specific biological transitions. Decades of evidence reveal that the ecdysone response is both unique to specific tissues and distinct among developmental timepoints. To achieve this diversity in response, the several isoforms of the Ecdysone Receptor, which transduce the hormone signal to the genome level, are believed to interact with tissue specific cofactors. To date, little is known about the identity of these cofactor interactions; therefore, we conducted a bioinformatics informed, RNAi luciferase reporter screen against a subset of putative candidate cofactors identified through an in silico proteome screen. Candidates were chosen based on criteria obtained from bioinformatic consensus of known nuclear receptor cofactors and homologs, including amino acid sequence motif content and context. Results: The bioinformatics pre-screen of the Drosophila melanogaster proteome was successful in identifying an enriched putative candidate gene cohort. Over 80% of the genes tested yielded a positive hit in our reporter screen. We have identified both cell type specific and common cofactors which appear to be necessary for proper ecdysone induced gene regulation. We have determined that certain cofactors act as co-repressors to reduce target gene expression, while others act as co-activators to increase target gene expression. Interestingly, we find that a few of the cofactors shared among cell types have a reversible roles to function as co-repressors in certain cell types while in other cell types they serve as co-activators. Lastly, these proteins are highly conserved, with higher order organism homologs also harboring the LXXLL steroid receptor interaction domains, suggesting a highly conserved mode of steroid cell target specificity. Conclusions: In conclusion, we submit these cofactors as novel components of the ecdysone signaling pathway in order to further elucidate the dynamics of steroid specificity.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Article number

66

Journal (Volume, Issue Number)

BMC Developmental Biology (Volume 11)

Publication milestones

  • Published - 2011

Publication status

Published - 2011

ISSN

1471-213X

Publication IDs

  • Scopus: 80155193049
  • PubMed: 22050674

Publication metrics

Metrics

Scopus
citations
SciVal
FWCI
0.07
SciVal
Author count
5
SciVal
citations
5
SciVal
Paper percentile
52
Fractional count
1
Fractional count
0.20
Fractional count
4
Fractional count
0.80
Fractional count
1
Fractional count
1

PlumX, opens in new tab

Citation count
7
Captures
37

Funding Details

We would like to acknowledge the following contributions to this work: Many thanks to Kevin White for project resources and funding, as well as Rebecca Spokony for comments to the manuscript. This work was possible in part by an NIH Ruth L. Kirschstein National Research Service Postdoctoral Award to Melissa B Davis as well as funding through the Yale University Foundation in Kevin White’s lab.
FundersFunding number
Yale University Foundation
-
NIH
-
NIGMS
F32GM074364