Evidence map›Paper›PMID 30341348›Full record

ArticleScientific reports2018

Chromatin accessibility landscape of articular knee cartilage reveals aberrant enhancer regulation in osteoarthritis.

Ye Liu, Jen-Chien Chang, Chung-Chau Hon, Naoshi Fukui, Nobuho Tanaka, Zhenya Zhang, Ming Ta Michael Lee, Aki Minoda

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

47 citing papers in PubMed, 1 synthesis or guideline pooled it, 61 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 6 institutions in 4 countries.

Ye LiuEpigenome Technology Exploration Unit, Division of Genomic Technologies, RIKEN Center for Life Science Technologies (CLST), Yokohama, Japan.
Jen-Chien ChangEpigenome Technology Exploration Unit, Division of Genomic Technologies, RIKEN Center for Life Science Technologies (CLST), Yokohama, Japan.ORCID http://orcid.org/0000-0002-6986-8479
Chung-Chau HonGenome Information Analysis Team, Division of Genomic Technologies, RIKEN Center for Life Science Technologies (CLST), Yokohama, Japan.ORCID http://orcid.org/0000-0002-3741-7577
Naoshi FukuiClinical Research Center, National Hospital Organization Sagamihara Hospital, Kanagawa, Japan.
Nobuho TanakaClinical Research Center, National Hospital Organization Sagamihara Hospital, Kanagawa, Japan.
Zhenya ZhangGraduate School of Life and Environmental Sciences, University of Tsukuba, Tsukuba, Japan.
Ming Ta Michael LeeGenomic Medicine Institute, Geisinger, Danville, PA, USA. mlee2@geisinger.edu.ORCID http://orcid.org/0000-0003-2510-8977
Aki MinodaEpigenome Technology Exploration Unit, Division of Genomic Technologies, RIKEN Center for Life Science Technologies (CLST), Yokohama, Japan. akiko.minoda@riken.jp.ORCID http://orcid.org/0000-0002-2927-5791
RIKEN Center for Integrative Medical Sciences · JPUniversity of Tsukuba · JPCE Technologies (United Kingdom) · GBInstitute of Biomedical Sciences, Academia Sinica · TWNational Sagamihara Hospital · JPTokyo University of the Arts · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteoarthritis (OA) is a common joint disorder with increasing impact in an aging society. While genetic and transcriptomic analyses have revealed some genes and non-coding loci associated to OA, the pathogenesis remains incompletely understood. Chromatin profiling, which provides insight into gene regulation, has not been reported in OA mainly due to technical difficulties. Here, we employed Assay for Transposase-Accessible Chromatin with high throughput sequencing (ATAC-seq) to map the accessible chromatin landscape in articular knee cartilage of OA patients. We identified 109,215 accessible chromatin regions for cartilages, of which 71% were annotated as enhancers. By overlaying them with genetic and DNA methylation data, we have determined potential OA-relevant enhancers and their putative target genes. Furthermore, through integration with RNA-seq data, we characterized genes that are altered both at epigenomic and transcriptomic levels in OA. These genes are enriched in pathways regulating ossification and mesenchymal stem cell (MSC) differentiation. Consistently, the differentially accessible regions in OA are enriched for MSC-specific enhancers and motifs of transcription factor families involved in osteoblast differentiation. In conclusion, we demonstrate how direct chromatin profiling of clinical tissues can provide comprehensive epigenetic information for a disease and suggest candidate genes and enhancers of translational potential.

Indexed as

Cartilage, ArticularChondrocytesChromatinDNA MethylationEnhancer Elements, GeneticEpigenesis, GeneticGene OntologyGenetic LociGenome-Wide Association StudyHumansKnee JointNucleotide MotifsOsteoarthritis, KneePolymorphism, Single NucleotideTranscription FactorsTranscriptomeChromatinTranscription Factors

Identifiers

PMID30341348
PMCPMC6195601
OpenAlexW2950881198

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.