Evidence map›Paper›PMID 28535295›Full record

ArticleBriefings in bioinformatics2018

Bioinformatic analysis of bacteria and host cell dual RNA-sequencing experiments.

James W Marsh, Regan J Hayward, Amol C Shetty, Anup Mahurkar, Michael S Humphrys, Garry S A Myers

Abstract read
In one paragraph

Article in Briefings in bioinformatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. bioRxiv : the preprint server for biology · 2025
    Article
  2. Article
  3. Article
  4. Contact Lens Wear Alters Transcriptional Responses tobioRxiv : the preprint server for biology · 2024
    Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Legume-rhizobia symbiosis: Translatome analysis.Genetics and molecular biology · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Role of main RNA modifications in cancer: NSignal transduction and targeted therapy · 2022
    Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Early Transcriptional Landscapes ofFrontiers in cellular and infection microbiology · 2019
    Article
  19. Article
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

6 authors.

James W MarshThe ithree institute, University of Technology Sydney.
Regan J HaywardThe ithree institute, University of Technology Sydney.
Amol C ShettyInstitute for Genome Sciences at the University of Maryland, Baltimore.
Anup MahurkarInstitute for Genome Sciences at the University of Maryland, Baltimore.
Michael S HumphrysInstitute for Genome Sciences at the University of Maryland, Baltimore.
Garry S A MyersThe ithree institute, University of Technology Sydney.

Funding

NIAID NIH HHS HHSN272200900009C
6 · The paper itself

Abstract

Bacterial pathogens subvert host cells by manipulating cellular pathways for survival and replication; in turn, host cells respond to the invading pathogen through cascading changes in gene expression. Deciphering these complex temporal and spatial dynamics to identify novel bacterial virulence factors or host response pathways is crucial for improved diagnostics and therapeutics. Dual RNA sequencing (dRNA-Seq) has recently been developed to simultaneously capture host and bacterial transcriptomes from an infected cell. This approach builds on the high sensitivity and resolution of RNA sequencing technology and is applicable to any bacteria that interact with eukaryotic cells, encompassing parasitic, commensal or mutualistic lifestyles. Several laboratory protocols have been presented that outline the collection, extraction and sequencing of total RNA for dRNA-Seq experiments, but there is relatively little guidance available for the detailed bioinformatic analyses required. This protocol outlines a typical dRNA-Seq experiment, based on a Chlamydia trachomatis-infected host cell, with a detailed description of the necessary bioinformatic analyses with currently available software tools.

Indexed as

Computational BiologyHost-Pathogen InteractionsChlamydia trachomatisEpithelial CellsGene Expression Regulation, BacterialRNA, BacterialSequence Analysis, RNASoftwareTranscriptomeRNA, Bacterial

Identifiers

PMID28535295
PMCPMC6291798

What OpenQuestion holds

Textmetadata
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.