Evidence map›Paper›PMID 34666684›Full record

ArticleBMC genomics2021

Identification and prediction of developmental enhancers in sea urchin embryos.

César Arenas-Mena, Sofija Miljovska, Edward J Rice, Justin Gurges, Tanvi Shashikant, Zihe Wang, Sevinç Ercan, Charles G Danko

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2021. 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
0.9field-weighted citation impact, top 27% 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, 14 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

8 authors at 4 institutions in 1 country.

César Arenas-MenaCollege of Staten Island, The City University of New York (CUNY), Staten Island, NY, 10314, USA. cesar.arenasmena@csi.cuny.edu.
Sofija MiljovskaDepartment of Biology, New York University, New York, NY, 10003, USA.
Edward J RiceBaker Institute for Animal Health, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA.
Justin GurgesCollege of Staten Island, The City University of New York (CUNY), Staten Island, NY, 10314, USA.
Tanvi ShashikantDepartment of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA, USA.
Zihe WangCollege of Staten Island, The City University of New York (CUNY), Staten Island, NY, 10314, USA.
Sevinç ErcanDepartment of Biology, New York University, New York, NY, 10003, USA.
Charles G DankoBaker Institute for Animal Health, College of Veterinary Medicine, Cornell University, Ithaca, NY, 14853, USA.
College of Staten Island · USCornell University · USNew York University · USCarnegie Mellon University · US

Funding

Mechanisms of condensin-mediated gene regulation in C. elegansR35GM130311 · NIGMS · NEW YORK UNIVERSITY · PI Sevinc Ercan · 2019 to 2026
$3.3M
NIGMS NIH HHS R35 GM130311
6 · The paper itself

Abstract

backgroundThe transcription of developmental regulatory genes is often controlled by multiple cis-regulatory elements. The identification and functional characterization of distal regulatory elements remains challenging, even in tractable model organisms like sea urchins.

resultsWe evaluate the use of chromatin accessibility, transcription and RNA Polymerase II for their ability to predict enhancer activity of genomic regions in sea urchin embryos. ATAC-seq, PRO-seq, and Pol II ChIP-seq from early and late blastula embryos are manually contrasted with experimental cis-regulatory analyses available in sea urchin embryos, with particular attention to common developmental regulatory elements known to have enhancer and silencer functions differentially deployed among embryonic territories. Using the three functional genomic data types, machine learning models are trained and tested to classify and quantitatively predict the enhancer activity of several hundred genomic regions previously validated with reporter constructs in vivo.

conclusionsOverall, chromatin accessibility and transcription have substantial power for predicting enhancer activity. For promoter-overlapping cis-regulatory elements in particular, the distribution of Pol II is the best predictor of enhancer activity in blastula embryos. Furthermore, ATAC- and PRO-seq predictive value is stage dependent for the promoter-overlapping subset. This suggests that the sequence of regulatory mechanisms leading to transcriptional activation have distinct relevance at different levels of the developmental gene regulatory hierarchy deployed during embryogenesis.

Indexed as

Gene Expression Regulation, DevelopmentalRegulatory Sequences, Nucleic AcidAnimalsChromatinPromoter Regions, GeneticSea UrchinsChromatinCis-regulatory elementDevelopmental gene regulationEnhancer prediction

Identifiers

PMID34666684
PMCPMC8527612
OpenAlexW3207162844

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.