Evidence map›Paper›PMID 27867193›Full record

ReviewNature reviews. Genetics2017

From profiles to function in epigenomics.

Stefan H Stricker, Anna Köferle, Stephan Beck

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 136 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
136citing papers in PubMed, 3 pooled it
–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

136 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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76 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

3 authors.

Stefan H StrickerInstitute of Stem Cell Research, German Research Center for Environmental Health, Ingolstädter Landstrasse 1, Neuherberg 85764, Germany.
Anna KöferleUniversity College London Cancer Institute, Paul O'Gorman Building, 72 Huntley Street, London WC1E 6BT, UK.
Stephan BeckUniversity College London Cancer Institute, Paul O'Gorman Building, 72 Huntley Street, London WC1E 6BT, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myriads of epigenomic features have been comprehensively profiled in health and disease across cell types, tissues and individuals. Although current epigenomic approaches can infer function for chromatin marks through correlation, it remains challenging to establish which marks actually have causative roles in gene regulation and other processes. After revisiting how classical approaches have addressed this question in the past, we discuss the current state of epigenomic profiling and how functional information can be indirectly inferred. We also present new approaches that promise definitive functional answers, which are collectively referred to as 'epigenome editing'. In particular, we explore CRISPR-based technologies for single-locus and multi-locus manipulation. Finally, we discuss which level of function can be achieved with each approach and introduce emerging strategies for high-throughput progression from profiles to function.

Indexed as

Gene Expression RegulationAnimalsChromatinCRISPR-Cas SystemsEpigenesis, GeneticEpigenomicsGene Expression ProfilingGenetic EngineeringHumansPhenotypeChromatin

Identifiers

PMID27867193

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.