Evidence map›Paper›PMID 36192462›Full record

ArticleNature methods2022

Profiling RNA at chromatin targets in situ by antibody-targeted tagmentation.

Nadiya Khyzha, Steven Henikoff, Kami Ahmad

Open access · hybridAbstract read
In one paragraph

Article in Nature methods, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

25 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Role of RNA in genome folding: It's all about affinity.Current opinion in structural biology · 2025
    Review
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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 at 2 institutions in 2 countries.

Nadiya KhyzhaBasic Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.ORCID 0000-0001-8804-0039
Steven HenikoffBasic Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA. steveh@fredhutch.org.ORCID 0000-0002-7621-8685
Kami AhmadBasic Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA. kahmad@fredhutch.org.ORCID 0000-0001-8572-6182
Cape Town HVTN Immunology Laboratory / Hutchinson Centre Research Institute of South Africa · ZAFred Hutch Cancer Center · 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 HG010492
6 · The paper itself

Abstract

Whereas techniques to map chromatin-bound proteins are well developed, mapping chromatin-associated RNAs remains a challenge. Here, we describe Reverse Transcribe and Tagment (RT&Tag), in which RNAs associated with a chromatin epitope are targeted by an antibody followed by a protein A-Tn5 transposome. Localized reverse transcription generates RNA/cDNA hybrids that are subsequently tagmented by Tn5 transposases for downstream sequencing. We demonstrate the utility of RT&Tag in Drosophila cells for capturing the noncoding RNA roX2 with the dosage compensation complex and maturing transcripts associated with silencing histone modifications. We also show that RT&Tag can detect N6-methyladenosine-modified mRNAs, and show that genes producing methylated transcripts are characterized by extensive promoter pausing of RNA polymerase II. The high efficiency of in situ antibody tethering and tagmentation makes RT&Tag especially suitable for rapid low-cost profiling of chromatin-associated RNAs.

Indexed as

ChromatinRNAAnimalsAntibodiesDNA, ComplementaryDrosophilaHistone CodeAntibodiesChromatinDNA, ComplementaryRNA

Identifiers

PMID36192462
PMCPMC9636022
OpenAlexW4300861631

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.