Ensuring meiotic DNA break formation in the mouse pseudoautosomal region, bioRxiv, 2019-01-31
Sex chromosomes in males share only a diminutive homologous segment, the pseudoautosomal region (PAR), wherein meiotic double-strand breaks (DSBs), pairing, and crossing over must occur for correct segregation. How cells ensure PAR recombination is unknown. Here we delineate cis-and trans-acting factors that control PAR ultrastructure and make the PAR the hottest area of DSB formation in the male mouse genome. Prior to DSB formation, PAR chromosome axes elongate, sister chromatids separate, and DSB-promoting factors hyperaccumulate. These phenomena are linked to mo-2 minisatellite arrays and require ANKRD31 protein. We propose that the repetitive PAR sequence confers unique chromatin and higher order structures crucial for DSB formation, X–Y pairing, and recombination. Our findings establish a mechanistic paradigm of mammalian sex chromosome segregation during spermatogenesis.
biorxiv molecular-biology 100-200-users 2019RNA interactions with CTCF are essential for its proper function Supplemental Figures 1-5, bioRxiv, 2019-01-25
The function of the CCCTC-binding factor (CTCF) in the organization of the genome has become an important area of investigation, but the mechanisms of how CTCF dynamically contributes to genome organization is not clear. We previously discovered that CTCF binds to large numbers of endogenous RNAs; promoting its oligomerization. Here we found that inhibition of transcription or interfering with CTCF ability to bind RNA through mutations of two of its 11 zinc fingers that are not involved with CTCF binding to its cognate site in vitro, zinc finger-1 (ZF1) or -10 (ZF10), disrupt CTCF association to chromatin. These mutations alter gene expression profiles as CTCF mutants lose their ability to promote local insulation. Our results highlight the importance of RNA as a structural component of the genome, in part by affecting the association of CTCF with chromatin and likely its interaction with other factors.
biorxiv molecular-biology 0-100-users 2019Simultaneous quantification of protein-DNA contacts and transcriptomes in single cells Supplemental Figures, bioRxiv, 2019-01-25
The epigenome plays a critical role in regulating gene expression in mammalian cells. However, understanding how cell-to-cell heterogeneity in the epigenome influences gene expression variability remains a major challenge. Here we report a novel method for simultaneous single-cell quantification of protein-DNA contacts with DamID and transcriptomics (scDamID&T). This method enables quantifying the impact of protein-DNA contacts on gene expression from the same cell. By profiling lamina-associated domains (LADs) in human cells, we reveal different dependencies between genome-nuclear lamina (NL) association and gene expression in single cells. In addition, we introduce the E. coli methyltransferase, Dam, as an in vivo marker of chromatin accessibility in single cells and show that scDamID&T can be utilized as a general technology to identify cell types in silico while simultaneously determining the underlying gene-regulatory landscape. With this strategy the effect of chromatin states, transcription factor binding, and genome organization on the acquisition of cell-type specific transcriptional programs can be quantified.
biorxiv molecular-biology 0-100-users 2019Simultaneous quantification of protein-DNA contacts and transcriptomes in single cells, bioRxiv, 2019-01-25
AbstractThe epigenome plays a critical role in regulating gene expression in mammalian cells. However, understanding how cell-to-cell heterogeneity in the epigenome influences gene expression variability remains a major challenge. Here we report a novel method for simultaneous single-cell quantification of protein-DNA contacts with DamID and transcriptomics (scDamID&T). This method enables quantifying the impact of protein-DNA contacts on gene expression from the same cell. By profiling lamina-associated domains (LADs) in human cells, we reveal different dependencies between genome-nuclear lamina (NL) association and gene expression in single cells. In addition, we introduce the E. coli methyltransferase, Dam, as an in vivo marker of chromatin accessibility in single cells and show that scDamID&T can be utilized as a general technology to identify cell types in silico while simultaneously determining the underlying gene-regulatory landscape. With this strategy the effect of chromatin states, transcription factor binding, and genome organization on the acquisition of cell-type specific transcriptional programs can be quantified.
biorxiv molecular-biology 0-100-users 2019Accurate detection of m6A RNA modifications in native RNA sequences, bioRxiv, 2019-01-21
The field of epitranscriptomics has undergone an enormous expansion in the last few years; however, a major limitation is the lack of generic methods to map RNA modifications transcriptome-wide. Here we show that using Oxford Nanopore Technologies, N6-methyladenosine (m6A) RNA modifications can be detected with high accuracy, in the form of systematic errors and decreased base-calling qualities. Our results open new avenues to investigate the universe of RNA modifications with single nucleotide resolution, in individual RNA molecules.
biorxiv molecular-biology 100-200-users 2019Unbiased detection of CRISPR off-targets in vivo using DISCOVER-Seq, bioRxiv, 2018-11-14
AbstractGenome editing using nucleases such as CRISPR-Cas induces programmable DNA damage at a target genomic site but can also affect off-target sites. Here, we develop a powerful, sensitive assay for the unbiased identification of off-target sites that we term DISCOVER-Seq. This approach takes advantage of the recruitment of endogenous DNA repair factors for genome-wide identification of Cas-induced double-strand breaks. One such factor, MRE11, is recruited precisely to double-strand breaks, enabling molecular characterization of nuclease cut sites with single-base resolution. DISCOVER-Seq detects off-targets in cellular models and in vivo upon adenoviral gene editing of mouse livers, paving the way for real-time off-target discovery during therapeutic gene editing. DISCOVER-Seq is furthermore applicable to multiple types of Cas nucleases and provides an unprecedented view of events that precede repair of the affected sites.
biorxiv molecular-biology 0-100-users 2018