An automated image analysis pipeline to quantify the coordination and overlap of transcription and replication activity in mammalian genomes.

Transcription-replication conflicts (TRCs) represent a potent endogenous source of replication stress. Besides the spatial and temporal coordination of replication and transcription programs, cells employ many additional mechanisms to resolve TRCs in a timely manner, thereby avoiding replication fork stalling and genomic instability. Proximity ligation assays (PLA) using antibodies against actively elongating RNA Polymerase II (RNAPIIpS2) and PCNA to detect proximity (<40nm) between transcribing RNA polymerases and replication forks can be used to assess and quantify TRC levels in cells. A complementary fluorescence microscopy approach to assess the spatial coordination of transcription and replication activities in the nucleus is to quantify the colocalization (200-400nm) between active transcription and ongoing replication using immunofluorescence staining with an antibody against elongating RNA Polymerase II (RNAPIIpS2) and EdU-Click-it pulse-labelling, respectively. Despite significant efforts to automate image analysis, the need for manual verification, correction, and complementation of automated processes creates a bottleneck for efficient, high-throughput and large-scale imaging. Here, we describe an automated Fiji image analysis macro that allows the user to automate the measurement of RNAPIIpS2 and EdU levels and extract the key parameters such as transcription-replication (TR) colocalization and TRC-PLA foci count from single cells in a high throughput manner. While we showcase the usability of this analysis pipeline for quantifying TR colocalization and TRC-PLA in mouse embryonic stem cells (mESCs), the analysis pipeline is designed as a generally applicable tool allowing the quantification of nuclear signals, colocalization and foci count in various model systems and cell types.

Single molecule MATAC-seq reveals key determinants of DNA replication origin efficiency.

Stochastic origin activation gives rise to significant cell-to-cell variability in the pattern of genome replication. The molecular basis for heterogeneity in efficiency and timing of individual origins is a long-standing question. Here, we developed Methylation Accessibility of TArgeted Chromatin domain Sequencing (MATAC-Seq) to determine single-molecule chromatin accessibility of four specific genomic loci. MATAC-Seq relies on preferential modification of accessible DNA by methyltransferases combined with Nanopore-Sequencing for direct readout of methylated DNA-bases. Applying MATAC-Seq to selected early-efficient and late-inefficient yeast replication origins revealed large heterogeneity of chromatin states. Disruption of INO80 or ISW2 chromatin remodeling complexes leads to changes at individual nucleosomal positions that correlate with changes in their replication efficiency. We found a chromatin state with an accessible nucleosome-free region in combination with well-positioned +1 and +2 nucleosomes as a strong predictor for efficient origin activation. Thus, MATAC-Seq identifies the large spectrum of alternative chromatin states that co-exist on a given locus previously masked in population-based experiments and provides a mechanistic basis for origin activation heterogeneity during eukaryotic DNA replication. Consequently, our single-molecule chromatin accessibility assay will be ideal to define single-molecule heterogeneity across many fundamental biological processes such as transcription, replication, or DNA repair in vitro and ex vivo.

Emerging roles of the CIP2A-TopBP1 complex in genome integrity.

CIP2A is an inhibitor of the tumour suppressor protein phosphatase 2A. Recently, CIP2A was identified as a synthetic lethal interactor of BRCA1 and BRCA2 and a driver of basal-like breast cancers. In addition, a joint role of TopBP1 (topoisomerase IIß-binding protein 1) and CIP2A for maintaining genome integrity during mitosis was discovered. TopBP1 has multiple functions as it is a scaffold for proteins involved in DNA replication, transcriptional regulation, cell cycle regulation and DNA repair. Here, we briefly review details of the CIP2A-TopBP1 interaction, its role in maintaining genome integrity, its involvement in cancer and its potential as a therapeutic target.

Single-copy locus proteomics of early- and late-firing DNA replication origins identifies a role of Ask1/DASH complex in replication timing control.

The chromatin environment at origins of replication is thought to influence DNA replication initiation in eukaryotic genomes. However, it remains unclear how and which chromatin features control the firing of early-efficient (EE) or late-inefficient (LI) origins. Here, we use site-specific recombination and single-locus chromatin isolation to purify EE and LI replication origins in Saccharomyces cerevisiae. Using mass spectrometry, we define the protein composition of native chromatin regions surrounding the EE and LI replication start sites. In addition to known origin interactors, we find the microtubule-binding Ask1/DASH complex as an origin-regulating factor. Strikingly, tethering of Ask1 to individual origin sites advances replication timing (RT) of the targeted chromosomal domain. Targeted degradation of Ask1 globally changes RT of a subset of origins, which can be reproduced by inhibiting microtubule dynamics. Thus, our findings mechanistically connect RT and chromosomal organization via Ask1/DASH with the microtubule cytoskeleton.

Proximity Labeling Techniques to Study Chromatin.

Mammals contain over 200 different cell types, yet nearly all have the same genomic DNA sequence. It is a key question in biology how the genetic instructions in DNA are selectively interpreted by cells to specify various transcriptional programs and therefore cellular identity. The structural and functional organization of chromatin governs the transcriptional state of individual genes. To understand how genomic loci adopt different levels of gene expression, it is critical to characterize all local chromatin factors as well as long-range interactions in the 3D nuclear compartment. Much of our current knowledge regarding protein interactions in a chromatin context is based on affinity purification of chromatin components coupled to mass spectrometry (AP-MS). AP-MS has been invaluable to map strong protein-protein interactions in the nucleus. However, the interaction is detected after cell lysis and biochemical enrichment, allowing for loss or gain of false positive or negative interaction partners. Recently, proximity-dependent labeling methods have emerged as powerful tools for studying chromatin in its native context. These methods take advantage of engineered enzymes that are fused to a chromatin factor of interest and can directly label all factors in proximity. Subsequent pull-down assays followed by mass spectrometry or sequencing approaches provide a comprehensive snapshot of the proximal chromatin interactome. By combining this method with dCas9, this approach can also be extended to study chromatin at specific genomic loci. Here, we review and compare current proximity-labeling approaches available for studying chromatin, with a particular focus on new emerging technologies that can provide important insights into the transcriptional and chromatin interaction networks essential for cellular identity.