Evidence map›Paper›PMID 40586304›Full record

ArticleNucleic acids research2025

Characterization of bacterial intrinsic transcription terminators identified with TERMITe-a novel method for comprehensive analysis of Term-seq data.

Jan Grzegorz Kosiński, Sandeepani Ranaweera, Agnieszka Chełkowska-Pauszek, Mikhail Kashlev, Paul Babitzke, Marek Żywicki

Abstract read
In one paragraph

Article in Nucleic acids research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Jan Grzegorz KosińskiDepartment of Computational Biology, Institute of Molecular Biology and Biotechnology, Faculty of Biology, Adam Mickiewicz University in Poznań, Poznań 61-614, Poland.
Sandeepani RanaweeraDepartment of Biochemistry and Molecular Biology, Center for RNA Molecular Biology, Pennsylvania State University, University Park, PA 16802, United States.
Agnieszka Chełkowska-PauszekDepartment of Computational Biology, Institute of Molecular Biology and Biotechnology, Faculty of Biology, Adam Mickiewicz University in Poznań, Poznań 61-614, Poland.
Mikhail KashlevRNA Biology Laboratory, Center for Cancer Research, National Cancer Institute, Frederick, MD 21702, United States.ORCID 0000-0002-1260-6486
Paul BabitzkeDepartment of Biochemistry and Molecular Biology, Center for RNA Molecular Biology, Pennsylvania State University, University Park, PA 16802, United States.ORCID 0000-0003-2481-1062
Marek ŻywickiDepartment of Computational Biology, Institute of Molecular Biology and Biotechnology, Faculty of Biology, Adam Mickiewicz University in Poznań, Poznań 61-614, Poland.ORCID 0000-0003-4774-2258

Funding

Regulation of transcription elongationR01GM098399 · NIGMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI BABITZKE, PAUL L · 2012 to 2024
$3.6M
Post-transcription Initiation Control of Gene ExpressionR35GM153190 · NIGMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI PAUL L BABITZKE · 2024 to 2026
$1.3M
Adam Mickiewicz UniversityNational Centre for Research and Development POWR.0302.00-00-I006/17National Centre for Research and Development POWR.03.05.00-00-Z303/18National Science Center 2017/25/B/NZ6/00642NIGMS NIH HHS R01 GM098399NIGMS NIH HHS R35 GM153190NIH HHS GM098399NIH HHS GM153190NIH National Cancer InstituteResearch University program
6 · The paper itself

Abstract

In recent years, Term-seq became a standard experimental approach for high-throughput identification of 3' ends of bacterial transcripts. It was widely adopted to study transcription termination events and 3' maturation of bacterial RNAs. Despite widespread utilization, a universal bioinformatics toolkit for comprehensive analysis of Term-seq sequencing data is still lacking. Here, we describe TERMITe, a novel method for the identification of stable 3' RNA ends based on bacterial Term-seq data. TERMITe works with data obtained from both currently available Term-seq protocols and provides robust identification of the 3' RNA termini. Unique features of TERMITe include the calculation of the transcription termination efficiency using matched RNA-seq data and the comprehensive annotation of the identified 3' RNA ends, allowing functional analysis of the results. We have applied TERMITe to the comparative analysis of experimentally validated intrinsic terminators spanning different species across the bacterial domain of life, revealing substantial differences in their sequence and secondary structure. We also provide a complete atlas of experimentally validated intrinsic transcription termination sites for 13 bacterial species: Escherichia coli, Bacillus subtilis, Listeria monocytogenes, Enterococcus faecalis, Synechocystis sp., Streptomyces clavuligerus, Streptomyces griseus, Streptomyces coelicolor, Streptomyces avermitilis, Streptomyces lividans, Streptomyces tsukubaensis, Streptomyces venezuelae, and Zymomonas mobilis.

Indexed as

BacteriaComputational BiologyRNA, BacterialSequence Analysis, RNATerminator Regions, GeneticTranscription Termination, GeneticAnimalsIsopteraRNA, Bacterial

Identifiers

PMID40586304
PMCPMC12207403

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.