Evidence map›Paper›PMID 36170035›Full record

ArticleProtein science : a publication of the Protein Society2022

In situ tools for chromatin structural epigenomics.

Steven Henikoff, Kami Ahmad

Open access · greenAbstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 25% of its field
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

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Genome-wide chromatin recording resolves dynamic cell state changes.bioRxiv : the preprint server for biology · 2026
    Article
  3. Review
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  9. In situ tools for chromatin structural epigenomics.Protein science : a publication of the Protein Society · 2022
    Article
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

2 authors at 2 institutions in 1 country.

Steven HenikoffFred Hutchinson Cancer Center, Seattle, Washington, USA.ORCID 0000-0002-7621-8685
Kami AhmadFred Hutchinson Cancer Center, Seattle, Washington, USA.
Fred Hutch Cancer Center · USHoward Hughes Medical Institute · US

Funding

Epigenomic profiling of complex tissues with single-cell CUT&RUNR01HG010492 · NHGRI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI HENIKOFF, STEVEN · 2019 to 2023
$3.5M
Howard Hughes Medical InstituteNHGRI NIH HHS R01 HG010492NIH HHS R01 HG010492
6 · The paper itself

Abstract

Technological progress over the past 15 years has fueled an explosion in genome-wide chromatin profiling tools that take advantage of low-cost short-read sequencing technologies to map particular chromatin features. Here, we survey the recent development of epigenomic tools that provide precise positions of chromatin proteins genome-wide in intact cells or nuclei. Some profiling tools are based on tethering Micrococcal Nuclease to chromatin proteins of interest in situ, whereas others similarly tether Tn5 transposase to integrate DNA sequencing adapters (tagmentation) and so eliminate the need for library preparation. These in situ cleavage and tagmentation tools have gained in popularity over the past few years, with many protocol enhancements and adaptations for single-cell and spatial chromatin profiling. The application of experimental and computational tools to address problems in gene regulation, eukaryotic development, and human disease are helping to define the emerging field of chromatin structural epigenomics.

Indexed as

ChromatinEpigenomicsBase SequenceGene LibraryHumansSequence Analysis, DNAChromatinMicrococcal Nucleasesingle-cell CUT&Tagspatial profilingTn5 transposase

Identifiers

PMID36170035
PMCPMC9601787
OpenAlexW4297460331

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.