Systematic identification and characterization of repressive domains in Drosophila transcription factors

Abstract: All multicellular life relies on differential gene expression, determined by regulatory DNA elements and DNA‐binding transcription factors that mediate activation and repression via cofactor recruitment. While activators have been extensively characterized, repressors are less well studied: the identities and properties of their repressive domains (RDs) are typically unknown and the specific co‐repressors (CoRs) they recruit have not been determined. Here, we develop a high‐throughput, next‐generation sequencing‐based screening method, repressive‐domain (RD)‐seq, to systematically identify RDs in complex DNA‐fragment libraries. Screening more than 200,000 fragments covering the coding sequences of all transcription‐related proteins in Drosophila melanogaster, we identify 195 RDs in known repressors and in proteins not previously associated with repression. Many RDs contain recurrent short peptide motifs, which are conserved between fly and human and are required for RD function, as demonstrated by motif mutagenesis. Moreover, we show that RDs that contain one of five distinct repressive motifs interact with and depend on different CoRs, such as Groucho, CtBP, Sin3A, or Smrter. These findings advance our understanding of repressors, their sequences, and the functional impact of sequence‐altering mutations and should provide a valuable resource for further studies.

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
Online-Ressource
Language
Englisch

Bibliographic citation
Systematic identification and characterization of repressive domains in Drosophila transcription factors ; day:22 ; month:12 ; year:2022 ; extent:30
The EMBO journal / European Molecular Biology Organization ; (22.12.2022) (gesamt 30)

Creator
Klaus, Loni
de Almeida, Bernardo P.
Vlasova, Anna
Nemčko, Filip
Schleiffer, Alexander
Bergauer, Katharina
Hofbauer, Lorena
Rath, Martina
Stark, Alexander

DOI
10.15252/embj.2022112100
URN
urn:nbn:de:101:1-2022122214242856447026
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:20 AM CEST

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Associated

  • Klaus, Loni
  • de Almeida, Bernardo P.
  • Vlasova, Anna
  • Nemčko, Filip
  • Schleiffer, Alexander
  • Bergauer, Katharina
  • Hofbauer, Lorena
  • Rath, Martina
  • Stark, Alexander

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