Evidence map›Paper›PMID 31201211›Full record

ArticleGenome research2019

Single-molecule long-read sequencing reveals the chromatin basis of gene expression.

Yunhao Wang, Anqi Wang, Zujun Liu, Andrew L Thurman, Linda S Powers, Meng Zou, Yue Zhao, Adam Hefel, Yunyi Li, Joseph Zabner and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
–field-weighted citation impact
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

50 citing papers in PubMed, 74 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

11 authors at 1 institution in 1 country.

Yunhao Wang *Department of Biomedical Informatics, The Ohio State University, Columbus, Ohio 43210, USA.ORCID 0000-0002-6949-290X
Anqi Wang *Department of Biomedical Informatics, The Ohio State University, Columbus, Ohio 43210, USA.
Zujun LiuDepartment of Biomedical Informatics, The Ohio State University, Columbus, Ohio 43210, USA.
Andrew L ThurmanDepartment of Internal Medicine, University of Iowa, Iowa City, Iowa 52242, USA.
Linda S PowersDepartment of Internal Medicine, University of Iowa, Iowa City, Iowa 52242, USA.
Meng ZouDepartment of Internal Medicine, University of Iowa, Iowa City, Iowa 52242, USA.
Yue ZhaoDepartment of Biomedical Informatics, The Ohio State University, Columbus, Ohio 43210, USA.
Adam HefelDepartment of Internal Medicine, University of Iowa, Iowa City, Iowa 52242, USA.
Yunyi LiDepartment of Internal Medicine, University of Iowa, Iowa City, Iowa 52242, USA.
Joseph ZabnerDepartment of Internal Medicine, University of Iowa, Iowa City, Iowa 52242, USA.
Kin Fai AuDepartment of Biomedical Informatics, The Ohio State University, Columbus, Ohio 43210, USA.ORCID 0000-0002-9222-4241
University of Iowa · US

Funding

Pulmonary Toxicology Facility CoreP30ES005605 · NIEHS · UNIVERSITY OF IOWA · PI Brandi Janssen · 1990 to 2026
$40.5M
Vector Core-Core 2P30DK054759 · NIDDK · UNIVERSITY OF IOWA · PI Alejandro Antonio Pezzulo · 1998 to 2026
$30.5M
Multidisciplinary Lung Research Career Development ProgramT32HL007638 · NHLBI · UNIVERSITY OF IOWA · PI WELSH, MICHAEL J., ZABNER, JOSEPH · 1986 to 2020
$16.9M
Bioinformatics platform for Hybrid-Seq transcriptome data analysisR01HG008759 · NHGRI · UNIVERSITY OF IOWA · PI AU, KIN FAI · 2016 to 2020
$1.9M
NHGRI NIH HHS R01 HG008759NHLBI NIH HHS T32 HL007638NIDDK NIH HHS P30 DK054759NIEHS NIH HHS P30 ES005605
6 · The paper itself

Abstract

Genome-wide chromatin accessibility and nucleosome occupancy profiles have been widely investigated, while the long-range dynamics remain poorly studied at the single-cell level. Here, we present a new experimental approach, methyltransferase treatment followed by single-molecule long-read sequencing (MeSMLR-seq), for long-range mapping of nucleosomes and chromatin accessibility at single DNA molecules and thus achieve comprehensive-coverage characterization of the corresponding heterogeneity. MeSMLR-seq offers direct measurements of both nucleosome-occupied and nucleosome-evicted regions on a single DNA molecule, which is challenging for many existing methods. We applied MeSMLR-seq to haploid yeast, where single DNA molecules represent single cells, and thus we could investigate the combinatorics of many (up to 356) nucleosomes at long range in single cells. We illustrated the differential organization principles of nucleosomes surrounding the transcription start site for silent and actively transcribed genes, at the single-cell level and in the long-range scale. The heterogeneous patterns of chromatin status spanning multiple genes were phased. Together with single-cell RNA-seq data, we quantitatively revealed how chromatin accessibility correlated with gene transcription positively in a highly heterogeneous scenario. Moreover, we quantified the openness of promoters and investigated the coupled chromatin changes of adjacent genes at single DNA molecules during transcription reprogramming. In addition, we revealed the coupled changes of chromatin accessibility for two neighboring glucose transporter genes in response to changes in glucose concentration.

Indexed as

Gene Expression Regulation, FungalTranscription, GeneticChromosome MappingDNA, FungalEuchromatinGlucoseGlucose Transport Proteins, FacilitativeHigh-Throughput Nucleotide SequencingHistonesMethyltransferasesMonosaccharide Transport ProteinsNucleosomesPromoter Regions, GeneticSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSingle-Cell AnalysisDNA, FungalEuchromatinGlucoseGlucose Transport Proteins, FacilitativeHistonesHXT3 protein, S cerevisiaeHxt6 protein, S cerevisiaeMethyltransferasesMonosaccharide Transport ProteinsNucleosomesSaccharomyces cerevisiae Proteins

Identifiers

PMID31201211
PMCPMC6673713
OpenAlexW2949392180

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.