Evidence map›Paper›PMID 33263279›Full record

ArticleeLife2020

Massively multiplex single-molecule oligonucleosome footprinting.

Nour J Abdulhay, Colin P McNally, Laura J Hsieh, Sivakanthan Kasinathan, Aidan Keith, Laurel S Estes, Mehran Karimzadeh, Jason G Underwood, Hani Goodarzi, Geeta J Narlikar and 1 more

Abstract read
In one paragraph

Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers.

0numbers the graph read from it
0cells of the map it votes in
84citing 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

84 citing papers in PubMed.

  1. Decoding chromosome organization using proximity labeling and long-read sequencing.Journal of genetics and genomics = Yi chuan xue bao · 2026
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  19. A haplotype-resolved view of human gene regulation.bioRxiv : the preprint server for biology · 2025
    Article
  20. Article

24 more citing papers are in PubMed but not listed here.

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.

Nour J Abdulhay *Department of Biochemistry & Biophysics, University of California San Francisco, San Francisco, United States.
Colin P McNally *Department of Biochemistry & Biophysics, University of California San Francisco, San Francisco, United States.
Laura J HsiehDepartment of Biochemistry & Biophysics, University of California San Francisco, San Francisco, United States.
Sivakanthan KasinathanDepartment of Pediatrics, Stanford University, Palo Alto, United States.
Aidan KeithDepartment of Biochemistry & Biophysics, University of California San Francisco, San Francisco, United States.
Laurel S EstesDepartment of Biochemistry & Biophysics, University of California San Francisco, San Francisco, United States.
Mehran KarimzadehDepartment of Biochemistry & Biophysics, University of California San Francisco, San Francisco, United States.ORCID 0000-0002-7324-6074
Jason G UnderwoodPacific Biosciences of California Inc, Menlo Park, United States.
Hani GoodarziDepartment of Biochemistry & Biophysics, University of California San Francisco, San Francisco, United States.
Geeta J NarlikarDepartment of Biochemistry & Biophysics, University of California San Francisco, San Francisco, United States.ORCID 0000-0002-1920-0147
Vijay RamaniDepartment of Biochemistry & Biophysics, University of California San Francisco, San Francisco, United States.ORCID 0000-0003-3345-5960

Funding

Measuring the lifetime and mechanical stability of phase-separated heterochromatin domainsR35GM127020 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GEETA J NARLIKAR · 2018 to 2026
$7.3M
Targeted regulation of transcript stability through RNA methylation and intron retentionR01GM123977 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GOODARZI, HANI · 2017 to 2021
$2.0M
NIGMS NIH HHS R01 GM123977NIGMS NIH HHS R35 GM127020
6 · The paper itself

Abstract

Our understanding of the beads-on-a-string arrangement of nucleosomes has been built largely on high-resolution sequence-agnostic imaging methods and sequence-resolved bulk biochemical techniques. To bridge the divide between these approaches, we present the single-molecule adenine methylated oligonucleosome sequencing assay (SAMOSA). SAMOSA is a high-throughput single-molecule sequencing method that combines adenine methyltransferase footprinting and single-molecule real-time DNA sequencing to natively and nondestructively measure nucleosome positions on individual chromatin fibres. SAMOSA data allows unbiased classification of single-molecular 'states' of nucleosome occupancy on individual chromatin fibres. We leverage this to estimate nucleosome regularity and spacing on single chromatin fibres genome-wide, at predicted transcription factor binding motifs, and across human epigenomic domains. Our analyses suggest that chromatin is comprised of both regular and irregular single-molecular oligonucleosome patterns that differ subtly in their relative abundance across epigenomic domains. This irregularity is particularly striking in constitutive heterochromatin, which has typically been viewed as a conformationally static entity. Our proof-of-concept study provides a powerful new methodology for studying nucleosome organization at a previously intractable resolution and offers up new avenues for modeling and visualizing higher order chromatin structure.

Indexed as

High-Throughput Nucleotide SequencingSingle Molecule ImagingAcetylationBinding SitesChromatinDNAEpigenesis, GeneticHistonesHumansK562 CellsNucleic Acid ConformationNucleosomesProof of Concept StudyProtein ConformationProtein Processing, Post-TranslationalSite-Specific DNA-Methyltransferase (Adenine-Specific)ChromatinDNAHistonesNucleosomesSite-Specific DNA-Methyltransferase (Adenine-Specific)Transcription Factorschromatinchromosomesgene expressiongeneticsgenomicshigh-throughput sequencinghumannucleosomes

Identifiers

PMID33263279
PMCPMC7735760

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.