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Bercovich, A.

Publications and source records attributed to Bercovich, A..

5 recordsLinked to original sources

A weak-interaction model defines the cell-autonomous function of DNA methylation in gastrulation

DNA methylation is essential for mammalian embryonic development, yet its functional implications remain debated. Here, we introduce a quantitative model that reconciles conflicting perspectives on the roles of methylation in genome regulation and cell specification. Using single-cell multiome analysis in chimeric and whole embryo mutants during mouse gastrulation and organogenesis, we separate cell-autonomous from indirect effects of methylation and demethylation machinery. We show that while the transcriptional and chromatin programs defining basic lineages can be established independently of methylation, the fidelity of differentiated states is severely impaired in its absence. Specifically, we identify hundreds of genes and thousands of cis-regulatory elements (CREs) dependent on methylation for precise regulation. CRE accessibility alterations in methylation mutants are linked with CpG dinucleotide content, and correlate with multiple transcription factor binding motifs. Our data support a weak-interaction model in which DNA methylation moderates, but does not block or instruct the potency of trans-acting regulatory machineries genome-wide.

genomics↗

Metacell projection for interpretable and quantitative use of transcriptional atlases

We describe MCProj - an algorithm for analyzing query scRNA-seq data by projections over reference single cell atlases. We represent the reference as a manifold consisting of annotated metacell gene expression distributions. We then infer query metacells as mixtures of atlas distributions while correcting for technology-specific gene biases. This approach distinguishes and tags query cells that are consistent with existing atlas states from novel or artifactual behaviors that are not observed in the atlas. It also identifies significant expression differences observed in query states that are mapped coherently onto the atlas. We showcase MCProj functionality by analyzing blood gene expression from multiple sources and technologies, suggesting it as a method of choice for scRNA-seq analysis following extensive cell atlas projects.

bioinformatics↗

Inflammatory signals from fatty bone marrow supports the early stages of DNMT3a driven clonal hematopoiesis

Age related cancer is not only due to the random accumulation of mutations, but also how phenotypes are selected by the aging environment. While fatty bone marrow (FBM), is one of the hallmarks of bone marrow ageing, it is unknown whether FBM can modify the evolution of the early stages of leukemia and clonal hematopoiesis (CH). To address this question, we established FBM mice models and transplanted both human and mice preleukemic hematopoietic stem cells (PreL-HSCs) carrying DNMT3A mutations. We demonstrate that castration which models age related andropenia result in FBM. A significant increase in self-renewal was found when DNMT3AMut - preL-HSPCs were exposed to FBM. To better understand the mechanisms of the FBM-preL-HSPCs interaction, we performed single cell RNA-sequencing on HSPCs three days after FBM exposure. A 20-50 fold increase in DNMT3AMut-preL-HSCs was observed under FBM conditions in comparison to other conditions. PreL-HSPCs exposed to FBM exhibited an activated inflammatory signaling (IL-6 and INF{gamma}). Cytokine analysis of BM fluid demonstrated increased IL-6 levels under FBM conditions. Anti-IL-6 neutralizing antibodies significantly reduced the selective advantage of DNMT3AMut-preL-HSPCs exposed to FBM. Overall, age related paracrine FBM inflammatory signals promote DNMT3A-driven clonal hematopoiesis, which can be inhibited by blocking the IL-6 receptor.

cancer biology↗

Single Cell Analysis of Regions of Interest (SCARI) using a novel photoswitchable tag

The functional activity and differentiation potential of cells is determined by their interaction with surrounding cells. Approaches that allow the unbiased characterization of cell states while at the same time providing spatial information are of major value to assess this environmental influence. However, most current techniques are hampered by a trade-off between spatial resolution and cell profiling depth. Here, we developed a photoswitch-based technology that allows the isolation and in-depth analysis of live cells from regions of interest in complex ex vivo systems, including human tissues. The use of a highly sensitive 4-nitrophenyl(benzofuran)-cage coupled to nanobodies allowed photoswitching of cells in areas of interest with low-intensity violet light and without detectable phototoxicity. Single cell RNA sequencing of spatially defined CD8+ T cells was used to exemplify the feasibility of identifying location-dependent cell states at the single cell level. Finally, we demonstrate the efficient labeling and photoswitching of cells in live primary human tumor tissue. The technology described here provides a valuable tool for the analysis of spatially defined cells in diverse biological systems, including clinical samples.

bioengineering↗

Recurrent pre-leukemic deletions in myeloid malignancies are the result of DNA double-strand breaks followed by microhomology-mediated end joining

The mechanisms underlying myeloid malignancies deletions are not well understood, nor is it clear why specific genomic hotspots are predisposed to particular deletions. In the current study we inspected the genomic regions around recurrent deletions in myeloid malignancies, and identified microhomology-mediated end-joining (MMEJ) signatures in recurrent deletions in CALR, ASXL1 and SRSF2 loci. Since MMEJ deletions are the result of DNA double-strand breaks (DSBs), we introduced CRISPR Cas9 DSBs into exon 12 of ASXL1, successfully generating recurrent ASXL1 deletion in human hematopoietic stem and progenitor cells (HSPCs). A systematic search of COSMIC dataset for MMEJ deletions in all cancers revealed that recurrent deletions enrich myeloid malignancies. Despite this myeloid predominance, we provide evidence that MMEJ deletions occur in multipotent HSCs. An analysis of DNA repair pathway gene expression in single human adult bone marrow HSPCs could not identify a subpopulation of multipotent HSPCs with increased MMEJ expression, however exposed differences between myeloid and lymphoid biased progenitors. Our data indicate an association between MMEJ-repaired DSBs and recurrent MMEJ deletions in human HSCs and in myeloid leukemia. A better understanding of the source of these DSBs and the regulation of the HSC MMEJ repair pathway might aid with preventing recurrent deletions in human pre-leukemia.

genomics↗