Evidence map›Paper›PMID 35704898›Full record

ArticleZebrafish2022

Identification of Transcription Factor Binding Sites by Cleavage Under Target and Release Using Nuclease in Zebrafish.

Radwa Barakat, Clyde A Campbell, Raquel Espin-Palazon

Open access · hybridAbstract read
In one paragraph

Article in Zebrafish, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 40% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

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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 1 institution in 1 country.

Radwa BarakatDepartment of Genetics, Development and Cell Biology, Iowa State University, Ames, Iowa, USA.
Clyde A CampbellDepartment of Genetics, Development and Cell Biology, Iowa State University, Ames, Iowa, USA.
Raquel Espin-PalazonDepartment of Genetics, Development and Cell Biology, Iowa State University, Ames, Iowa, USA.
Iowa State University · US

Funding

Molecular dissection of Hematopoietic Stem Cell specification triggered by inflammatory mediatorsR01DK131162 · NIDDK · IOWA STATE UNIVERSITY · PI Raquel Espin Palazon · 2022 to 2026
$2.1M
The impact of inflammation on hematopoietic stem cell specificationK01DK115661 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ESPÍN PALAZÓN, RAQUEL · 2017 to 2021
$834k
In vivo assessment of granulin dependent myeloid cell formationR03DK125661 · NIDDK · IOWA STATE UNIVERSITY · PI ESPÍN PALAZÓN, RAQUEL · 2020 to 2021
$230k
NIDDK NIH HHS K01 DK115661NIDDK NIH HHS R01 DK131162NIDDK NIH HHS R03 DK125661
6 · The paper itself

Abstract

Cleavage Under Targets and Release Using Nuclease (CUT&RUN) has emerged as a chromatin profiling strategy that excels traditional methods. Although CUT&RUN has been widely utilized in mammalian cells, its use in the zebrafish is at its early stages. In this study, we have developed a protocol to successfully perform CUT&RUN to map transcription factor (TF) binding sites in embryonic, adult tissues, and FACS-sorted zebrafish cells. We also provide a detailed workflow for the identification of predicted TF binding sites that can be utilized in any animal species. Altogether, our strategy will expand this invaluable tool to the zebrafish community, improving the epigenetic resolution that can be achieved in this model organism.

Indexed as

ChromatinZebrafishAnimalsBinding SitesEndonucleasesMammalsProtein BindingTranscription FactorsChromatinEndonucleasesTranscription Factorschromatin profilingCUT&RUNepigenomicsprotocoltranscription factorzebrafish

Identifiers

PMID35704898
PMCPMC9246268
OpenAlexW4282974216

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.