Biology subjects

Barseghyan, H.

Publications and source records attributed to Barseghyan, H..

3 recordsLinked to original sources

bioRxiv2021

Long Reads Capture Simultaneous Enhancer-Promoter Methylation Status for Cell-type Deconvolution

MotivationWhile promoter methylation is associated with reinforcing fundamental tissue identities, the methylation status of distant enhancers was shown by genome-wide association studies to be a powerful determinant of cell-state and cancer. With recent availability of long-reads that report on the methylation status of enhancer-promoter pairs on the same molecule, we hypothesized that probing these pairs on the single-molecule level may serve the basis for detection of rare cancerous transformations in a given cell population. We explore various analysis approaches for deconvolving cell-type mixtures based on their genome-wide enhancer-promoter methylation profiles. ResultsTo evaluate our hypothesis we examine long-read optical methylome data for the GM12787 cell line and myoblast cell lines from two donors. We identified over 100,000 enhancer-promoter pairs that co-exist on at least 30 individual DNA molecules per pair. We developed a detailed methodology for mixture deconvolution and applied it to estimate the proportional cell compositions in synthetic mixtures based on analyzing their enhancer-promoter pairwise methylation. We found our methodology to lead to very accurate estimates, outperforming our promoter-based deconvolutions. Moreover, we show that it can be generalized from deconvolving different cell types to subtle scenarios where one wishes to deconvolve different cell populations of the same cell-type. AvailabilityThe code used in this work to analyze single-molecule Bionano Genomics optical maps is available via the GitHub repository https://github.com/ebensteinLab/Single_molecule_methylation_in_EP. Contactuv@post.tau.ac.il (Y.E), roded@tauex.tau.ac.il (R.S)

bioinformatics↗

bioRxiv2020

nanotatoR: A tool for enhanced annotation of genomic structural variants

Whole genome sequencing is effective at identification of small variants but, because it is based on short reads, assessment of structural variants (SVs) is limited. The advent of Optical Genome Mapping (OGM), which utilizes long fluorescently labeled DNA molecules for de novo genome assembly and SV calling, has allowed for increased sensitivity and specificity in SV detection. However, compared to small variant annotation tools, OGM-based SV annotation software has seen little development, and currently available SV annotation tools do not provide sufficient information for determination of variant pathogenicity. We developed an R-based package, nanotatoR, which provides comprehensive annotation as a tool for SV classification. nanotatoR uses both external (DGV; DECIPHER; Bionano Genomics BNDB) and internal (user-defined) databases to estimate SV frequency. Human genome reference GRCh37/38-based BED files are used to annotate SVs with overlapping, upstream, and downstream genes. Overlap percentages and distances for nearest genes are calculated and can be used for filtration. A primary gene list is extracted from public databases based on the patients phenotype and used to filter genes overlapping SVs, providing the analyst with an easy way to prioritize variants. If available, expression of overlapping or nearby genes of interest is extracted (e.g. from an RNA-Seq dataset, allowing the user to assess the effects of SVs on the transcriptome). Most quality-control filtration parameters are customizable by the user. The output is given in an Excel file format, subdivided into multiple sheets based on SV type and inheritance pattern (INDELs, inversions, translocations, de novo, etc.). nanotatoR passed all quality and run time criteria of Bioconductor, where it was accepted in the April 2019 release. We evaluated nanotatoRs annotation capabilities using publicly available reference datasets: the singleton sample NA12878, mapped with two types of enzyme labeling, and the NA24143 trio. nanotatoR was also able to accurately filter the known pathogenic variants in a cohort of patients with Duchenne Muscular Dystrophy for which we had previously demonstrated the diagnostic ability of OGM. The extensive annotation enables users to rapidly identify potential pathogenic SVs, a critical step toward use of OGM in the clinical setting.

bioinformatics↗

bioRxiv2018

DEAH-box helicase 37 (DHX37) defects are a novel molecular etiology of 46,XY gonadal dysgenesis spectrum

46,XY gonadal dysgenesis is a heterogeneous disorder of sex development (DSD) that features abnormal gonadal development and varying degrees of undervirilization of the external genitalia, ranging from micropenis to female-like genitalia. Embryonic testicular regression syndrome (ETRS; MIM: 273250) is considered part of the clinical spectrum of 46,XY gonadal dysgenesis. Most ETRS patients present micropenis or atypical genitalia associated with a complete absence of gonadal tissue in one or both sides. In most patients with gonadal dysgenesis, the genetic diagnosis is unclear. We performed whole exome sequencing in ETRS patients and identified a rare variant, the p.Arg308Gln, in DEAH (Asp-Glu-Ala-His) box polypeptide 37 (DHX37) in 5 affected individuals from three unrelated families. We expanded the analysis of DHX37 coding region to additional 71 patients with 46,XY gonadal dysgenesis and identified the p.Arg308Gln and three other DHX37 missense variants (p.Arg151Trp, p.Thr304Met and p.Arg674Trp) in 11 affected members from eight distinct families (8 patients with ETRS, two with partial gonadal dysgenesis and one 46,XY DSD female patient previously gonadectomized). The p.Arg308Gln and p.Arg674Trp recurrent variants were identified in six and three families, respectively. Segregation analysis revealed sex-limited autosomal dominant inheritance in 4 families, autosomal dominant with incomplete penetrance in one family and autosomal recessive in another family. Immunohistochemical analysis of normal testes revealed that DHX37 is expressed in germ cells at different stages of maturation.\n\nThis study demonstrates an expressive frequency of rare predicted to be deleterious DHX37 variants in 46,XY gonadal dysgenesis group, particularly those individuals exhibiting the ETRS phenotype (25% and 50%, respectively).\n\nOur findings indicate that DHX37 is a new player in the complex cascade of male gonadal differentiation and maintenance, thus establishing a novel and frequent molecular etiology for 46,XY gonadal dysgenesis spectrum, mainly for embryonic testicular regression syndrome.

developmental biology↗