Abstract

Genomic imprinting and X chromosome inactivation (XCI) are two prototypical epigenetic mechanisms whereby a set of genes is expressed mono-allelically in order to fine-tune their expression levels. Defects in genomic imprinting have been observed in several neurodevelopmental disorders, in a wide range of tumours and in induced pluripotent stem cells (iPSCs). Single Nucleotide Variants (SNVs) are readily detectable by RNA-sequencing allowing the determination of whether imprinted or X-linked genes are aberrantly expressed from both alleles, although standardised analysis methods are still missing. We have developed a tool, named BrewerIX, that provides comprehensive information about the allelic expression of a large, manually-curated set of imprinted and X-linked genes. BrewerIX does not require programming skills, runs on a standard personal computer, and can analyze both bulk and single-cell transcriptomes of human and mouse cells directly from raw sequencing data. BrewerIX confirmed previous observations regarding the bi-allelic expression of some imprinted genes in naive pluripotent cells and extended them to preimplantation embryos. BrewerIX also identified misregulated imprinted genes in breast cancer cells and in human organoids and identified genes escaping XCI in human somatic cells. We believe BrewerIX will be useful for the study of genomic imprinting and XCI during development and reprogramming, and for detecting aberrations in cancer, iPSCs and organoids. Due to its ease of use to non-computational biologists, its implementation could become standard practice during sample assessment, thus raising the robustness and reproducibility of future studies.

Highlights

  • Genomic imprinting and X chromosome inactivation (XCI) are two prototypical epigenetic mechanisms whereby a set of genes is expressed mono-allelically in order to fine-tune their expression levels

  • BrewerIX is implemented as a native graphical application for Linux and macOS. It takes as input either bulk or single-cell RNA-seq data, analyzes reads mapped over the Single Nucleotide Variants (SNVs) distributed on imprinted genes, X chromosome and Y chromosome, and generates imprinting and XCI profiles of each sample

  • SNVs are collapsed by genes to create a table that is displayed by the user interface (UI)

Read more

Summary

Results

BrewerIX (freely available at https://brewerix.bio.unipd.it) is implemented as a native graphical application for Linux and macOS It takes as input either bulk or single-cell RNA-seq data (fastq files), analyzes reads mapped over the SNVs distributed on imprinted genes (see “Knowledge base” section for details), X chromosome and Y chromosome, and generates imprinting and XCI profiles of each sample. BrewerIX will align each sample, filter alignments, and call Allele-Specific Expression (ASE) Read counter (see sections below for technical details) using a set of pre-compiled biallelic SNVs. Before visualization, SNVs are collapsed by genes to create a table that is displayed by the user interface (UI). The Tailored pipeline uses a specific set of SNVs that the user might detect from wholegenome or whole-exome sequencing data, allowing to evaluate imprinting and X-inactivation starting directly from the actual SNV profile of the samples (Supplementary Fig. 1). The filters on SNVs are based on the following four parameters: 1. the overall depth (OD), representing the number of reads mapping on a given SNV; a BrewerIX overview b

H19 IGF2 SLC22A18 MEG3 MEG8 ATP10A GPR1 ZDBF2 CPA4
H19 IGF2 KCNQ1 KCNQ1OT1 NTM RB1 SMOC1 DLK1 SNRPN SNURF UBE3A L3MBTL1 SGCE PPP1R9A
Discussion
Methods
Code availability
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call