A XRCC4 mutant mouse, a model for human X4 syndrome, reveals interplays with Xlf, PAXX, and ATM in lymphoid development
Abstract
We developed a Xrcc4M61R separation of function mouse line to overcome the embryonic lethality of Xrcc4 deficient mice. XRCC4M61R protein does not interact with Xlf, thus obliterating XRCC4-Xlf filament formation while preserving the ability to stabilize DNA Ligase IV. X4M61R mice, which are DNA repair deficient, phenocopy the Nhej1-/- (known as Xlf -/-) setting with a minor impact on the development of the adaptive immune system. The core NHEJ DNA repair factor XRCC4 is therefore not mandatory for V(D)J recombination aside from its role in stabilizing DNA ligase IV. In contrast, Xrcc4M61R mice crossed on Paxx-/-, Nhej1-/-, or Atm-/- backgrounds are severely immunocompromised, owing to aborted V(D)J recombination as in Xlf-Paxx and Xlf-Atm double KO settings. Furthermore, massive apoptosis of post-mitotic neurons causes embryonic lethality of Xrcc4M61R -Nhej1-/- double mutants. These in vivo results reveal new functional interplays between XRCC4 and PAXX, ATM and Xlf in mouse development and provide new insights in the understanding of the clinical manifestations of human XRCC4 deficient condition, in particular its absence of immune deficiency.
Data availability
The xl file with raw data used in PCA analysis (Fig. 2G) has been depositied on DRYADhttps://doi.org/10.5061/dryad.547d7wm7x
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Data from: A XRCC4 mutant mouse, a model for human X4 syndrome, reveals interplays with Xlf, PAXX, and ATM in lymphoid developmentDryad Digital Repository, doi:10.5061/dryad.547d7wm7x.
Article and author information
Author details
Funding
Institut National de la Santé et de la Recherche Médicale
- Benoit Roch
- Vincent Abramowski
- Stefania Musilli
- Jean-Pierre de Villartay
Agence Nationale de la Recherche (ANR-10-IAHU-01)
- Benoit Roch
- Vincent Abramowski
- Stefania Musilli
- Pierre David
- Jean-Pierre de Villartay
Institut National Du Cancer (PLBIO 16-280)
- Benoit Roch
- Vincent Abramowski
- Stefania Musilli
- Jean-Baptiste Charbonnier
- Isabelle Callebaut
- Jean-Pierre de Villartay
Ligue Contre le Cancer (Equipe Labellisée)
- Benoit Roch
- Vincent Abramowski
- Stefania Musilli
- Jean-Pierre de Villartay
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Ethics
Animal experimentation: All experiments were performed in compliance with the French Ministry of Agriculture's regulations for animal experiments (act 87847, 19 October 1987; modified in May 2001) after audit with "Comité d'Ethique en Expérimentation Animale (CEEA) Paris Descartes" (Apafis #25432-2019041516286014 v6)
Copyright
© 2021, Roch et al.
This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.
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Further reading
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- Cell Biology
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Gene regulation is essential for life and controlled by regulatory DNA. Mutations can modify the activity of regulatory DNA, and also create new regulatory DNA, a process called regulatory emergence. Non-regulatory and regulatory DNA contain motifs to which transcription factors may bind. In prokaryotes, gene expression requires a stretch of DNA called a promoter, which contains two motifs called –10 and –35 boxes. However, these motifs may occur in both promoters and non-promoter DNA in multiple copies. They have been implicated in some studies to improve promoter activity, and in others to repress it. Here, we ask whether the presence of such motifs in different genetic sequences influences promoter evolution and emergence. To understand whether and how promoter motifs influence promoter emergence and evolution, we start from 50 ‘promoter islands’, DNA sequences enriched with –10 and –35 boxes. We mutagenize these starting ‘parent’ sequences, and measure gene expression driven by 240,000 of the resulting mutants. We find that the probability that mutations create an active promoter varies more than 200-fold, and is not correlated with the number of promoter motifs. For parent sequences without promoter activity, mutations created over 1500 new –10 and –35 boxes at unique positions in the library, but only ~0.3% of these resulted in de-novo promoter activity. Only ~13% of all –10 and –35 boxes contribute to de-novo promoter activity. For parent sequences with promoter activity, mutations created new –10 and –35 boxes in 11 specific positions that partially overlap with preexisting ones to modulate expression. We also find that –10 and –35 boxes do not repress promoter activity. Overall, our work demonstrates how promoter motifs influence promoter emergence and evolution. It has implications for predicting and understanding regulatory evolution, de novo genes, and phenotypic evolution.