scholarly journals methylscaper: an R/Shiny app for joint visualization of DNA methylation and nucleosome occupancy in single-molecule and single-cell data

2020 ◽  
Author(s):  
Parker Knight ◽  
Marie-Pierre L. Gauthier ◽  
Carolina E. Pardo ◽  
Russell P. Darst ◽  
Alberto Riva ◽  
...  

AbstractDifferential DNA methylation and chromatin accessibility are associated with disease development, particularly cancer. Methods that allow profiling of these epigenetic mechanisms in the same reaction and at the single-molecule or single-cell level continue to emerge. However, a challenge lies in jointly visualizing and analyzing the heterogeneous nature of the data and extracting regulatory insight. Here, we developed methylscaper, a visualization framework for simultaneous analysis of DNA methylation and chromatin landscapes. Methylscaper implements a weighted principle component analysis that orders sequencing reads, each providing a record of the chromatin state of one epiallele, and reveals patterns of nucleosome positioning, transcription factor occupancy, and DNA methylation. We demonstrate methylscaper’s utility on a long-read, single-molecule methyltransferase accessibility protocol for individual templates (MAPit) dataset and a single-cell nucleosome, methylation, and transcription sequencing (scNMT-seq) dataset. In comparison to other procedures, methylscaper is able to readily identify chromatin features that are biologically relevant to transcriptional status while scaling to larger datasets.Availability and implementationMethylscaper, is available on GitHub at https://github.com/rhondabacher/[email protected]

2019 ◽  
Author(s):  
Yunhao Wang ◽  
Anqi Wang ◽  
Zujun Liu ◽  
Andrew Thurman ◽  
Linda S. Powers ◽  
...  

ABSTRACTGenome-wide chromatin accessibility and nucleosome occupancy profiles have been widely investigated, while the long-range dynamics remains poorly studied at the single-cell level. Here we present a new experimental approach MeSMLR-seq (methyltransferase treatment followed by single-molecule long-read sequencing) for long-range mapping of nucleosomes and chromatin accessibility at single DNA molecules, and thus achieve comprehensive-coverage characterization of the corresponding heterogeneity. We applied MeSMLR-seq to haploid yeast, where single DNA molecules represent single cells, and thus we could investigate the combinatorics of many (up to 356) nucleosomes at long range in single cells. We illustrated the differential organization principles of nucleosomes surrounding transcription start site for silently- and actively-transcribed genes, at the single-cell level and in the long-range scale. The heterogeneous patterns of chromatin statuses spanning multiple genes were phased. Together with single-cell RNA-seq data, we quantitatively revealed how chromatin accessibility correlated with gene transcription positively in a highly-heterogeneous scenario. Moreover, we quantified the openness of promoters and investigated the coupled chromatin changes of adjacent genes at single DNA molecules during transcription reprogramming.


2020 ◽  
Vol 22 (Supplement_3) ◽  
pp. iii406-iii406
Author(s):  
Julien Masliah-Planchon ◽  
Elodie Girard ◽  
Philipp Euskirchen ◽  
Christine Bourneix ◽  
Delphine Lequin ◽  
...  

Abstract Medulloblastoma (MB) can be classified into four molecular subgroups (WNT group, SHH group, group 3, and group 4). The gold standard of assignment of molecular subgroup through DNA methylation profiling uses Illumina EPIC array. However, this tool has some limitation in terms of cost and timing, in order to get the results soon enough for clinical use. We present an alternative DNA methylation assay based on nanopore sequencing efficient for rapid, cheaper, and reliable subgrouping of clinical MB samples. Low-depth whole genome with long-read single-molecule nanopore sequencing was used to simultaneously assess copy number profile and MB subgrouping based on DNA methylation. The DNA methylation data generated by Nanopore sequencing were compared to a publicly available reference cohort comprising over 2,800 brain tumors including the four subgroups of MB (Capper et al. Nature; 2018) to generate a score that estimates a confidence with a tumor group assignment. Among the 24 MB analyzed with nanopore sequencing (six WNT, nine SHH, five group 3, and four group 4), all of them were classified in the appropriate subgroup established by expression-based Nanostring subgrouping. In addition to the subgrouping, we also examine the genomic profile. Furthermore, all previously identified clinically relevant genomic rearrangements (mostly MYC and MYCN amplifications) were also detected with our assay. In conclusion, we are confirming the full reliability of nanopore sequencing as a novel rapid and cheap assay for methylation-based MB subgrouping. We now plan to implement this technology to other embryonal tumors of the central nervous system.


2019 ◽  
Author(s):  
Anna Danese ◽  
Maria L. Richter ◽  
David S. Fischer ◽  
Fabian J. Theis ◽  
Maria Colomé-Tatché

ABSTRACTEpigenetic single-cell measurements reveal a layer of regulatory information not accessible to single-cell transcriptomics, however single-cell-omics analysis tools mainly focus on gene expression data. To address this issue, we present epiScanpy, a computational framework for the analysis of single-cell DNA methylation and single-cell ATAC-seq data. EpiScanpy makes the many existing RNA-seq workflows from scanpy available to large-scale single-cell data from other -omics modalities. We introduce and compare multiple feature space constructions for epigenetic data and show the feasibility of common clustering, dimension reduction and trajectory learning techniques. We benchmark epiScanpy by interrogating different single-cell brain mouse atlases of DNA methylation, ATAC-seq and transcriptomics. We find that differentially methylated and differentially open markers between cell clusters enrich transcriptome-based cell type labels by orthogonal epigenetic information.


2019 ◽  
Author(s):  
Shuoguo Wang ◽  
Constance Brett ◽  
Mohan Bolisetty ◽  
Ryan Golhar ◽  
Isaac Neuhaus ◽  
...  

AbstractMotivationThanks to technological advances made in the last few years, we are now able to study transcriptomes from thousands of single cells. These have been applied widely to study various aspects of Biology. Nevertheless, comprehending and inferring meaningful biological insights from these large datasets is still a challenge. Although tools are being developed to deal with the data complexity and data volume, we do not have yet an effective visualizations and comparative analysis tools to realize the full value of these datasets.ResultsIn order to address this gap, we implemented a single cell data visualization portal called Single Cell Viewer (SCV). SCV is an R shiny application that offers users rich visualization and exploratory data analysis options for single cell datasets.AvailabilitySource code for the application is available online at GitHub (http://www.github.com/neuhausi/single-cell-viewer) and there is a hosted exploration application using the same example dataset as this publication at http://periscopeapps.org/[email protected]; [email protected]


Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 673-673
Author(s):  
Reema Baskar ◽  
Patricia Favaro ◽  
Warren D. Reynolds ◽  
Pablo Domizi ◽  
Albert G Tsai ◽  
...  

Abstract Human B cell development in adult human bone marrow (BM) is tightly regulated through well-defined stages to produce adaptive immune cells with assembled and functional B cell antigen receptor (BCR)(Martin et al., 2016). To produce mature B cells with functional immunoglobulin receptors, B cell progenitors must undergo multiple stages of highly regulated chromatin remodelling and transcriptional reprogramming which correspond to unique patterns of surface protein expression (Nutt and Kee, 2007). This complex process is frequently dysregulated in B cell neoplasia such as B cell Acute Lymphoblastic Leukemia (B-ALL). B-ALL is highly heterogenous in its phenotypic and clinical presentation, as well as in its underlying molecular features such as DNA methylation patterns and genetic aberrations (Cobaleda and Sánchez-García, 2009). The lack of general mechanism of leukemogenesis has made it difficult to identify when and where adult and pediatric B-ALL blasts diverge from normal B cell development. Here we show that across 5 B-ALL patients and 3 cell lines with diverse phenotypic and clinical presentations, blasts are epigenetically arrested at a conserved point within healthy human B cell development. First, we sought to establish a trajectory of normal B cell development to delineate the phenotypic and concomitant epigenetic changes occurring in BM progenitors as they differentiate into naïve B cells. To capture phenotype, function, and epigenetic state via single cell chromatin content (chromotype) of developing B cells in BM, we developed a multiplexed, high throughput, single cell proteomic method (chromotyping) to simultaneously measure cell surface markers, intracellular regulators such as transcription factors and chromatin structure regulators such as histone post-translational modifications (i.e. H3K4me3, H3K27me3, H2AK119ubi) and chromatin re-modelers (i.e. CTCF, DNMT1, MLL1). Using these surrogates for single cell, global chromatin content, we notably identified 3 coordinated epigenetic inflection or switch (S) points in healthy B cell development corresponding to previously characterized phenotypic landmarks of STAT5 signalling and active re-arrangement of IgH loci (S1), CD24 expression-linked high translation and proliferation (S2), and IgM and CD20 expression-linked BCR assembly completion (S3) (Bendall et al., 2014). To determine how these coordinated chromotypes translated to chromatin accessibility and primed gene regulation networks, we isolated BM B cell population from these chromatin content transition points and analysed them with our modified ATAC-seq protocol, InTAC-seq (Baskar et al., 2021). Strikingly, the chromatin accessibility landscape revealed putative oncogenic priming with high activity of leukemic TFs such as PAX5, TCF3, ZEB1 and ID4 predominantly at S2 and some at S3 switch points. By integrating our InTAC-seq data with publicly available single cell ATAC and RNA seq data on BM, we located this oncogenic primed state as existing from S2 to before S3 (IgH rearranged, late pro- / Pre-B cell stage) in healthy B cell development. This integration further associated this state with high activity of ASCL1 (role in chromatin remodelling) and high expression of STMN1 (Leukaemia-associated phosphoprotein 18). Finally we showed that across B-ALL patients (n=5) and cell lines (REH, NALM6, SUBP15), chromatin accessibility of neoplastic B cells indeed continue to occupy this point of oncogenic vulnerability in the B cell developmental space from S2 to right before S3 in our integrated scATAC map, despite variable immunophenotypes. This corresponds to a coordinated minima in our chromotyping map (lowest, coordinated abundance of chromatin structure regulators across trajectory). Further analysis of B-ALL patients reinforced the divergence between immunophenotypic and epigenetic heterogeneity within and between samples. Taken together, our findings identify key epigenetic switch points in B cell development and their underlying chromatin accessibility and gene expression patterns. Consequently, we reveal a point of epigenetic vulnerability in healthy B cell development that could be predisposed to leukemic transformation. This work opens up the possibility for new diagnostic strategies for B-ALL utilizing chromatin content and could pave the way for epigenetic modulation-based treatments beyond DNA methylation inhibition. Disclosures Davis: Novartis Pharmaceuticals: Honoraria; Jazz Pharmaceuticals: Research Funding.


2018 ◽  
Author(s):  
Tim Stuart ◽  
Andrew Butler ◽  
Paul Hoffman ◽  
Christoph Hafemeister ◽  
Efthymia Papalexi ◽  
...  

Single cell transcriptomics (scRNA-seq) has transformed our ability to discover and annotate cell types and states, but deep biological understanding requires more than a taxonomic listing of clusters. As new methods arise to measure distinct cellular modalities, including high-dimensional immunophenotypes, chromatin accessibility, and spatial positioning, a key analytical challenge is to integrate these datasets into a harmonized atlas that can be used to better understand cellular identity and function. Here, we develop a computational strategy to “anchor” diverse datasets together, enabling us to integrate and compare single cell measurements not only across scRNA-seq technologies, but different modalities as well. After demonstrating substantial improvement over existing methods for data integration, we anchor scRNA-seq experiments with scATAC-seq datasets to explore chromatin differences in closely related interneuron subsets, and project single cell protein measurements onto a human bone marrow atlas to annotate and characterize lymphocyte populations. Lastly, we demonstrate how anchoring can harmonize in-situ gene expression and scRNA-seq datasets, allowing for the transcriptome-wide imputation of spatial gene expression patterns, and the identification of spatial relationships between mapped cell types in the visual cortex. Our work presents a strategy for comprehensive integration of single cell data, including the assembly of harmonized references, and the transfer of information across datasets.Availability: Installation instructions, documentation, and tutorials are available at: https://www.satijalab.org/seurat


Viruses ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1568
Author(s):  
Maarit Suomalainen ◽  
Urs F. Greber

Cell-to-cell variability of infection has long been known, yet it has remained one of the least understood phenomena in infection research. It impacts on disease onset and development, yet only recently underlying mechanisms have been studied in clonal cell cultures by single-virion immunofluorescence microscopy and flow cytometry. In this review, we showcase how single-cell RNA sequencing (scRNA-seq), single-molecule RNA-fluorescence in situ hybridization (FISH), and copper(I)-catalyzed azide-alkyne cycloaddition (click) with alkynyl-tagged viral genomes dissect infection variability in human and mouse cells. We show how the combined use of scRNA-FISH and click-chemistry reveals highly variable onsets of adenoviral gene expression, and how single live cell plaques reveal lytic and nonlytic adenovirus transmissions. The review highlights how scRNA-seq profiling and scRNA-FISH of coxsackie, influenza, dengue, zika, and herpes simplex virus infections uncover transcriptional variability, and how the host interferon response tunes influenza and sendai virus infections. We introduce the concept of “cell state” in infection variability, and conclude with advances by single-cell simultaneous measurements of chromatin accessibility and mRNA counts at high-throughput. Such technology will further dissect the sequence of events in virus infection and pathology, and better characterize the genetic and genomic stability of viruses, cell autonomous innate immune responses, and mechanisms of tissue injury.


2019 ◽  
Author(s):  
Yang Wang ◽  
Peng Yuan ◽  
Zhiqiang Yan ◽  
Ming Yang ◽  
Ying Huo ◽  
...  

AbstractExtensive epigenetic reprogramming occurs during preimplantation embryo development and is accompanied by zygotic genome activation (ZGA) and first cell fate specification. Recent studies using single-cell epigenome sequencing techniques have provided global views of the dynamics of different epigenetic layers during this period. However, it remains largely unclear how the drastic epigenetic reprogramming contributes to transcriptional regulatory network. Here, we developed a single-cell multiomics sequencing technology (scNOMeRe-seq) that enables profiling of genome-wide chromatin accessibility, DNA methylation and RNA expression in the same individual cell with improved performance compared to that of earlier techniques. We applied this method to analyze the global dynamics of different molecular layers and their associations in mouse preimplantation embryos. We found that global DNA methylation remodeling facilitates the reconstruction of genetic lineages in early embryos and revealed that the gradual increases in heterogeneity among blastomeres are driven by asymmetric cleavage. Allele-specific DNA methylation pattern is maintained throughout preimplantation development and is accompanied by allele-specific associations between DNA methylation and gene expression in the gene body that are inherited from oocytes and sperm. Through integrated analyses of the collective dynamics between gene expression and chromatin accessibility, we constructed a ZGA-associated regulatory network and revealed coordination among multiple epigenetic layers, transcription factors (TFs) and repeat elements that instruct the proper ZGA process. Moreover, we found that inner cell mass (ICM)/trophectoderm (TE) lineage-associated cis-regulatory elements are stepwise activated in blastomeres during post-ZGA embryo stages. TE lineage-specific TFs play dual roles in promoting the TE program while repressing the ICM program, thereby separating the TE lineage from the ICM lineage. Taken together, our findings not only depict the first single-cell triple-omics map of chromatin accessibility, DNA methylation and RNA expression during mouse preimplantation development but also enhance the fundamental understanding of epigenetic regulation in early embryos.


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