Evidence map›Paper›PMID 31308523›Full record

ArticleNature microbiology2019

Full-length RNA profiling reveals pervasive bidirectional transcription terminators in bacteria.

Xiangwu Ju, Dayi Li, Shixin Liu

Abstract read
In one paragraph

Article in Nature microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.

0numbers the graph read from it
0cells of the map it votes in
74citing 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

74 citing papers in PubMed.

  1. Review
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  10. RNAP-seq:bioRxiv : the preprint server for biology · 2026
    Article
  11. Structural principles of transcriptional collisions.bioRxiv : the preprint server for biology · 2026
    Article
  12. Article
  13. Article
  14. Analysis of 3'-seq data from multiplebioRxiv : the preprint server for biology · 2025
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

14 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

3 authors.

Xiangwu JuLaboratory of Nanoscale Biophysics and Biochemistry, The Rockefeller University, New York, NY, USA.
Dayi LiLaboratory of Nanoscale Biophysics and Biochemistry, The Rockefeller University, New York, NY, USA.
Shixin LiuLaboratory of Nanoscale Biophysics and Biochemistry, The Rockefeller University, New York, NY, USA. shixinliu@rockefeller.edu.ORCID http://orcid.org/0000-0003-4238-7066

Funding

Probing Symmetry Breaking in Epigenetic Inheritance: From Single Molecules to Systems BiologyDP2HG010510 · NHGRI · ROCKEFELLER UNIVERSITY · PI LIU, SHIXIN · 2018 to 2018
$2.5M
Single-molecule study of cooperation between bacterial gene expression machinesR00GM107365 · NIGMS · ROCKEFELLER UNIVERSITY · PI LIU, SHIXIN · 2016 to 2018
$747k
NHGRI NIH HHS DP2 HG010510NIGMS NIH HHS R00 GM107365
6 · The paper itself

Abstract

The ability to determine full-length nucleotide composition of individual RNA molecules is essential for understanding the architecture and function of a transcriptome. However, experimental approaches capable of capturing the sequences of both 5' and 3' termini of the same transcript remain scarce. In the present study, simultaneous 5' and 3' end sequencing (SEnd-seq)-a high-throughput and unbiased method that simultaneously maps transcription start and termination sites with single-nucleotide resolution-is presented. Using this method, a comprehensive view of the Escherichia coli transcriptome was obtained, which displays an unexpected level of complexity. SEnd-seq notably expands the catalogue of transcription start sites and termination sites, defines unique transcription units and detects prevalent antisense RNA. Strikingly, the results of the present study unveil widespread overlapping bidirectional terminators located between opposing gene pairs. Furthermore, it has been shown that convergent transcription is a major contributor to highly efficient bidirectional termination both in vitro and in vivo. This finding highlights an underappreciated role of RNA polymerase conflicts in shaping transcript boundaries and suggests an evolutionary strategy for modulating transcriptional output by arranging gene orientation.

Indexed as

Terminator Regions, GeneticEscherichia coliEscherichia coli ProteinsEvolution, MolecularGene Expression ProfilingMolecular Sequence AnnotationRNA, AntisenseSequence Analysis, RNATranscription, GeneticEscherichia coli ProteinsRNA, Antisense

Identifiers

PMID31308523
PMCPMC6814526

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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.