Evidence map›Paper›PMID 42736336›Full record

ReviewNature reviews. Molecular cell biology2026

A practical guide to studying genome function using single-molecule genomics.

Arnaud R Krebs, Nicolas Altemose, L Stirling Churchman, William J Greenleaf, Vijay Ramani, Michael B Stadler, Andrew B Stergachis

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Molecular cell biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Arnaud R KrebsGenome Biology Unit, EMBL Heidelberg, Heidelberg, Germany. arnaud.krebs@embl.de.ORCID http://orcid.org/0000-0001-7999-6127
Nicolas AltemoseDepartment of Genetics, Stanford University, Palo Alto, CA, USA. altemose@stanford.edu.ORCID http://orcid.org/0000-0002-7231-6026
L Stirling ChurchmanDepartment of Genetics, Blavatnik Institute, Harvard Medical School, Boston, MA, USA. churchman@genetics.med.harvard.edu.ORCID http://orcid.org/0000-0003-3888-2574
William J GreenleafDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA. wjg@stanford.edu.ORCID http://orcid.org/0000-0003-1409-3095
Vijay RamaniDepartment of Biochemistry & Biophysics, University of California San Francisco, San Francisco, CA, USA. vijay.Ramani@ucsf.edu.
Michael B StadlerFriedrich Miescher Institute for Biomedical Research, Basel, Switzerland. Michael.Stadler@fmi.ch.ORCID http://orcid.org/0000-0002-2269-4934
Andrew B StergachisDepartment of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA. absterga@uw.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-molecule genomics (SMG) has transformed our ability to study the mechanisms that regulate the genome by enabling profiling of the activity of regulatory factors on individual DNA molecules genome-wide. SMG is able to quantify molecular heterogeneity and the co-occurrence of regulatory events, including epigenetic modifications, transcription factor binding and chromatin organization on single DNA molecules. SMG reveals dynamics of chromatin interactions that cannot be measured by conventional genomics assays. Therefore, SMG offers a unique platform to study how regulatory events combine to control genome activity. In this Expert Recommendation article, we provide a practical guide for adopting SMG and outline best practices.

Identifiers

PMID42736336

What OpenQuestion holds

Textmetadata
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.