Evidence map›Paper›PMID 30201986›Full record

ArticleNature communications2018

SMRT-Cappable-seq reveals complex operon variants in bacteria.

Bo Yan, Matthew Boitano, Tyson A Clark, Laurence Ettwiller

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

72 citing papers in PubMed, 111 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Analysis of 3'-seq data from multiplebioRxiv : the preprint server for biology · 2025
    Article
  9. Article
  10. Article
  11. Cappable-seq RNA-sequencing data sets ofMicrobiology resource announcements · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Transformers and large language models in healthcare: A review.Artificial intelligence in medicine · 2024
    Review
  17. Co-transcriptional gene regulation in eukaryotes and prokaryotes.Nature reviews. Molecular cell biology · 2024
    Review
  18. Synthetic genomes unveil the effects of synonymous recoding.bioRxiv : the preprint server for biology · 2024
    Article
  19. Article
  20. Review

12 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 2 institutions in 1 country.

Bo YanNew England Biolabs Inc., 240 County Road, Ipswich, MA, 01938, USA.
Matthew BoitanoPacBio, 1305 O'Brien Drive, Menlo Park, CA, 94025, USA.
Tyson A ClarkPacBio, 1305 O'Brien Drive, Menlo Park, CA, 94025, USA.ORCID http://orcid.org/0000-0002-7779-3227
Laurence EttwillerNew England Biolabs Inc., 240 County Road, Ipswich, MA, 01938, USA. ettwiller@neb.com.ORCID http://orcid.org/0000-0002-3957-6539
Menlo School · USNew England Biolabs (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current methods for genome-wide analysis of gene expression require fragmentation of original transcripts into small fragments for short-read sequencing. In bacteria, the resulting fragmented information hides operon complexity. Additionally, in vivo processing of transcripts confounds the accurate identification of the 5' and 3' ends of operons. Here we develop a methodology called SMRT-Cappable-seq that combines the isolation of un-fragmented primary transcripts with single-molecule long read sequencing. Applied to E. coli, this technology results in an accurate definition of the transcriptome with 34% of known operons from RegulonDB being extended by at least one gene. Furthermore, 40% of transcription termination sites have read-through that alters the gene content of the operons. As a result, most of the bacterial genes are present in multiple operon variants reminiscent of eukaryotic splicing. By providing such granularity in the operon structure, this study represents an important resource for the study of prokaryotic gene network and regulation.

Indexed as

Genome, BacterialOperonTranscriptomeAmino Acid MotifsChromosome MappingDNA, ComplementaryEscherichia coliGene Expression ProfilingGene Regulatory NetworksGenomicsPromoter Regions, GeneticSequence Analysis, RNATranscription, GeneticDNA, Complementary

Identifiers

PMID30201986
PMCPMC6131387
OpenAlexW2951067234

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.