IEEE International Conference on Bioinformatics and Biomedicine (BIBM)BioinformaticsPeer-reviewed journal article
GRAIGH: Gene Regulation accessibility integrating GeneHancer database
Lorenzo MartiniiD, Alessandro SavinoiD, Roberta BardiniiD, Stefano Di CarloiD
Abstract
Single-cell assays for transposase-accessible chromatin sequencing data are one of the most powerful tools for studying the epigenetic heterogeneity of cell populations. However, the chromatin accessibility landscape is not well understood and lacks a proper way to interpret it. This work proposes Gene Regulation Accessibility Integrating GeneHancer (GRAIGH), a novel approach to the interpretation of genome accessibility through the integration of the GeneHancer database information, which describes genome-wide enhancer-to-gene associations. Firstly, this paper presents the methods for integrating GeneHancer with scATAC-seq data, creating a new matrix where the features are the GeneHancer elements IDs instead of the accessibility peaks. Secondly, it investigates its capability to analyze the data and detect cellular heterogeneity. In particular, this work shows that the GeneHancer elements are selectively accessible for distinct cell types, and more importantly, their connected genes are precisely known marker genes. Moreover, it investigates the specificity of GeneHancer elements accessibility, demonstrating their high selectivity against the gene activity.
- assay: scATAC-seq
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 4
- FWCI
- 4.92
- Field percentile
- top 5%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Integrative Comparison of GeneHancer and Single-Cell Co-accessibility Reveals Active Enhancer-Gene Interactions
Lorenzo Martini, Roberta Bardini, … S. Di Carlo·International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC)Peer-reviewed·Jan 1, 2026
- AIscEA: Unsupervised Integration of Single-cell Gene Expression and Chromatin Accessibility via Their Biological Consistency
Elham Jafari, Travis S. Johnson, … Yijie Wang·BioinformaticsPeer-reviewed·Oct 17, 2022
- CellWalkR: An R Package for integrating single-cell and bulk data to resolve regulatory elements
Pawel F. Przytycki, Katherine S. Pollard·BioinformaticsPeer-reviewed·Mar 8, 2022
- Classifying cells with Scasat - a tool to analyse single-cell ATAC-seq
Syed Murtuza Baker, Connor Rogerson, … Magnus Rattray·Nucleic Acids ResearchPeer-reviewed·Oct 4, 2018
- SCENIC+: single-cell multiomic inference of enhancers and gene regulatory networks
Carmen Bravo González‐Blas, Seppe De Winter, … Stein Aerts·Nature MethodsPeer-reviewed·Jul 13, 2023
- Single-cell multiome regression models identify functional and disease-associated enhancers and enable chromatin potential analysis
Sneha Mitra, Rohan Malik, … Christina S. Leslie·bioRxiv·Jun 13, 2023