Evidence map›Paper›PMID 28653622›Full record

ArticleeLife2017

Simultaneous measurement of chromatin accessibility, DNA methylation, and nucleosome phasing in single cells.

Sebastian Pott

Abstract read
In one paragraph

Article in eLife, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 141 papers.

0numbers the graph read from it
0cells of the map it votes in
141citing 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

141 citing papers in PubMed.

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81 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

1 author.

Sebastian PottDepartment of Human Genetics, University of Chicago, Chicago, United States.ORCID 0000-0002-4118-6150

Funding

Training of Junior Faculty for Careers in Omics of Lung DiseasesK12HL119995 · NHLBI · UNIVERSITY OF CHICAGO · PI GOZAL, DAVID, GROSSMAN, ROBERT L. · 2013 to 2017
$1.3M
NHLBI NIH HHS K12 HL119995
6 · The paper itself

Abstract

Gaining insights into the regulatory mechanisms that underlie the transcriptional variation observed between individual cells necessitates the development of methods that measure chromatin organization in single cells. Here I adapted

Indexed as

DNA MethylationCell LineChromatinHumansNucleosomesSingle-Cell AnalysisChromatinNucleosomeschromatin organizationchromosomesDNA methylationevolutionary biologygenesgenomicshumanNOMe-seqsingle cell genomicssingle cell NOMe-seq

Identifiers

PMID28653622
PMCPMC5487215

What OpenQuestion holds

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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.