Searching across hundreds of databases

Our searching services are busy right now. Your search will reload in five seconds.

X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

Comprehensive epigenomic profiling reveals the extent of disease-specific chromatin states and informs target discovery in ankylosing spondylitis.

Cell genomics | 2023

Ankylosing spondylitis (AS) is a common, highly heritable inflammatory arthritis characterized by enthesitis of the spine and sacroiliac joints. Genome-wide association studies (GWASs) have revealed more than 100 genetic associations whose functional effects remain largely unresolved. Here, we present a comprehensive transcriptomic and epigenomic map of disease-relevant blood immune cell subsets from AS patients and healthy controls. We find that, while CD14+ monocytes and CD4+ and CD8+ T cells show disease-specific differences at the RNA level, epigenomic differences are only apparent upon multi-omics integration. The latter reveals enrichment at disease-associated loci in monocytes. We link putative functional SNPs to genes using high-resolution Capture-C at 10 loci, including PTGER4 and ETS1, and show how disease-specific functional genomic data can be integrated with GWASs to enhance therapeutic target discovery. This study combines epigenetic and transcriptional analysis with GWASs to identify disease-relevant cell types and gene regulation of likely pathogenic relevance and prioritize drug targets.

Pubmed ID: 37388915 RIS Download

Additional research tools detected in this publication

None found

Associated grants

  • Agency: Wellcome Trust, United Kingdom

Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.

This is a list of tools and resources that we have found mentioned in this publication.


CD8 MicroBeads, human (antibody)

RRID:AB_2889920

This monoclonal targets CD8

View all literature mentions

CD4 MicroBeads, human (antibody)

RRID:AB_2889919

This monoclonal targets CD4

View all literature mentions

H3K4me3-human (antibody)

RRID:AB_2616052

This polyclonal targets H3K4me3

View all literature mentions

H3K27ac polyclonal antibody (antibody)

RRID:AB_2637079

This polyclonal targets H3K27ac

View all literature mentions

APC anti-human CD16 (antibody)

RRID:AB_2562751

This monoclonal targets CD16

View all literature mentions

CD3 (antibody)

RRID:AB_2738487

This monoclonal targets CD3

View all literature mentions

Hu CD8 BUV737 SK1 100Tst (antibody)

RRID:AB_2870085

This monoclonal targets CD8

View all literature mentions

CD4 (antibody)

RRID:AB_2738273

This monoclonal targets CD4

View all literature mentions

Purified anti-human CD14 (antibody)

RRID:AB_830675

This monoclonal targets CD14

View all literature mentions

BD LSRFortessa cell analyzer (instrument resource)

RRID:SCR_018655

BD LSRFortessa cell analyzer provides power, performance, and consistency and supports the expanding needs of multicolor flow cytometry assays.

View all literature mentions

Miltenyi AutoMACS Magnetic Cell Sorter (instrument resource)

RRID:SCR_018596

Benchtop manager cell sorter for cell isolation in automated workflows. Sorts cells directly from whole blood or bone marrow without density gradient centrifugation or erythrocyte lysis.

View all literature mentions

R Project for Statistical Computing (software resource)

RRID:SCR_001905

Software environment and programming language for statistical computing and graphics. R is integrated suite of software facilities for data manipulation, calculation and graphical display. Can be extended via packages. Some packages are supplied with the R distribution and more are available through CRAN family.It compiles and runs on wide variety of UNIX platforms, Windows and MacOS.

View all literature mentions

LIMMA (software resource)

RRID:SCR_010943

Software package for the analysis of gene expression microarray data, especially the use of linear models for analyzing designed experiments and the assessment of differential expression.

View all literature mentions

Venny 2.1 (software resource)

RRID:SCR_016561

Software tool for comparing lists with Venn's diagrams.

View all literature mentions

EnhancedVolcano (data processing software)

RRID:SCR_018931

Software R package to produce publication ready volcano plots with enhanced colouring and labeling. Used to visualise results of differential expression analyses.

View all literature mentions

ggplot2 (data processing software)

RRID:SCR_014601

Open source software package for statistical programming language R to create plots based on grammar of graphics. Used for data visualization to break up graphs into semantic components such as scales and layers.

View all literature mentions

FLASH (software resource)

RRID:SCR_005531

Open source software tool to merge paired-end reads from next-generation sequencing experiments. Designed to merge pairs of reads when original DNA fragments are shorter than twice length of reads. Can improve genome assemblies and transcriptome assembly by merging RNA-seq data.

View all literature mentions

cutadapt (software resource)

RRID:SCR_011841

Software tool that removes adapter sequences from DNA sequencing reads.

View all literature mentions

FastQC (software resource)

RRID:SCR_014583

Quality control software that perform checks on raw sequence data coming from high throughput sequencing pipelines. This software also provides a modular set of analyses which can give a quick impression of the quality of the data prior to further analysis.

View all literature mentions

FactoMineR (software resource)

RRID:SCR_014602

Software R package for multivariate analysis which takes into account different types of data structure. Data can be organized in groups of variable, groups of individuals, or into hierarchy of variables.

View all literature mentions

ChromHMM (software resource)

RRID:SCR_018141

Software tool for chromatin state discovery and characterization. Used for chromatin state discovery and genome annotation of non coding genome using epigenomic information across one or multiple cell types. Combines multiple genome wide epigenomic maps, and uses combinatorial and spatial mark patterns to infer complete annotation for each cell type. Provides automated enrichment analysis of resulting annotations.

View all literature mentions

ChIPseeker (software resource)

RRID:SCR_021322

Software package to retrieve nearest genes around peak, annotate genomic region of peak, implements statstical methods for estimate significance of overlap among ChIP peak data sets, and incorporate GEO database for user to compare own dataset with those deposited in database.Several visualization functions are implemented to summarize coverage of peak experiment, average profile and heatmap of peaks binding to TSS regions, genomic annotation, distance to TSS, and overlap of peaks or genes.

View all literature mentions

featureCounts (software resource)

RRID:SCR_012919

A read summarization program, which counts mapped reads for the genomic features such as genes and exons.

View all literature mentions

MACS (software resource)

RRID:SCR_013291

Software Python package for identifying transcript factor binding sites. Used to evaluate significance of enriched ChIP regions. Improves spatial resolution of binding sites through combining information of both sequencing tag position and orientation. Can be used for ChIP-Seq data alone, or with control sample with increase of specificity.

View all literature mentions

SAMTOOLS (software resource)

RRID:SCR_002105

Original SAMTOOLS package has been split into three separate repositories including Samtools, BCFtools and HTSlib. Samtools for manipulating next generation sequencing data used for reading, writing, editing, indexing,viewing nucleotide alignments in SAM,BAM,CRAM format. BCFtools used for reading, writing BCF2,VCF, gVCF files and calling, filtering, summarising SNP and short indel sequence variants. HTSlib used for reading, writing high throughput sequencing data.

View all literature mentions

Bowtie 2 (software resource)

RRID:SCR_016368

Ultrafast and memory efficient tool for aligning sequencing reads to long reference sequences. Supports gapped, local, and paired end alignment modes. More suited to finding longer, gapped alignments in comparison with original Bowtie method.

View all literature mentions

DESeq2 (software resource)

RRID:SCR_015687

Software package for differential gene expression analysis based on the negative binomial distribution. Used for analyzing RNA-seq data for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates.

View all literature mentions

BEDTools (software resource)

RRID:SCR_006646

A powerful toolset for genome arithmetic allowing one to address common genomics tasks such as finding feature overlaps and computing coverage. Bedtools allows one to intersect, merge, count, complement, and shuffle genomic intervals from multiple files in widely-used genomic file formats such as BAM, BED, GFF/GTF, VCF. While each individual tool is designed to do a relatively simple task (e.g., intersect two interval files), quite sophisticated analyses can be conducted by combining multiple bedtools operations on the UNIX command line.

View all literature mentions

htseq-count (software resource)

RRID:SCR_011867

Script distributed with the HT-Seq Python framework for processing RNA-seq or DNA-seq data.

View all literature mentions

Picard (software toolkit)

RRID:SCR_006525

Java toolset for working with next generation sequencing data in the BAM format.

View all literature mentions

STAR (software resource)

RRID:SCR_004463

Software performing alignment of high-throughput RNA-seq data. Aligns RNA-seq reads to reference genome using uncompressed suffix arrays.

View all literature mentions