Evidence map›Paper›PMID 31649059›Full record

ArticleGenome research2019

Identification and dynamic quantification of regulatory elements using total RNA.

Sascha H Duttke, Max W Chang, Sven Heinz, Christopher Benner

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 127 papers.

0numbers the graph read from it
0cells of the map it votes in
127citing papers in PubMed
–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

127 citing papers in PubMed, 185 citations in OpenAlex.

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  18. Advances in seed omics.Journal of experimental botany · 2026
    Review
  19. Article
  20. Article

67 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

4 authors at 1 institution in 1 country.

Sascha H DuttkeDepartment of Medicine, University of California, San Diego, La Jolla, California 92093, USA.ORCID 0000-0003-4717-000X
Max W ChangDepartment of Medicine, University of California, San Diego, La Jolla, California 92093, USA.ORCID 0000-0002-4526-489X
Sven HeinzDepartment of Medicine, University of California, San Diego, La Jolla, California 92093, USA.ORCID 0000-0002-4665-1007
Christopher BennerDepartment of Medicine, University of California, San Diego, La Jolla, California 92093, USA.ORCID 0000-0002-4618-0719
University of California San Diego · US

Funding

SARS-CoV adaptations through a Systems Biology Lens (SYBIL)U19AI135972 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Adolfo Garcia-Sastre · 2018 to 2026
$27.2M
Virus CoreU19AI106754 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI ALBRECHT, RANDY A. · 2013 to 2017
$26.0M
NIAID NIH HHS U19 AI106754NIAID NIH HHS U19 AI135972
6 · The paper itself

Abstract

The spatial and temporal regulation of transcription initiation is pivotal for controlling gene expression. Here, we introduce capped-small RNA-seq (csRNA-seq), which uses total RNA as starting material to detect transcription start sites (TSSs) of both stable and unstable RNAs at single-nucleotide resolution. csRNA-seq is highly sensitive to acute changes in transcription and identifies an order of magnitude more regulated transcripts than does RNA-seq. Interrogating tissues from species across the eukaryotic kingdoms identified unstable transcripts resembling enhancer RNAs, pri-miRNAs, antisense transcripts, and promoter upstream transcripts in multicellular animals, plants, and fungi spanning 1.6 billion years of evolution. Integration of epigenomic data from these organisms revealed that histone H3 trimethylation (H3K4me3) was largely confined to TSSs of stable transcripts, whereas H3K27ac marked nucleosomes downstream from all active TSSs, suggesting an ancient role for posttranslational histone modifications in transcription. Our findings show that total RNA is sufficient to identify transcribed regulatory elements and capture the dynamics of initiated stable and unstable transcripts at single-nucleotide resolution in eukaryotes.

Indexed as

Gene Regulatory NetworksAnimalsHistonesMiceMice, Inbred C57BLRNARNA CapsTranscription FactorsTranscription, GeneticHistonesRNARNA CapsTranscription Factors

Identifiers

PMID31649059
PMCPMC6836739
OpenAlexW2982028528

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.