Evidence map›Paper›PMID 34001998›Full record

ArticleScientific reports2021

Dual RNA-seq analysis of in vitro infection multiplicity and RNA depletion methods in Chlamydia-infected epithelial cells.

Regan J Hayward, Michael S Humphrys, Wilhelmina M Huston, Garry S A Myers

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

12 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Transcriptional profiling ofFrontiers in cellular and infection microbiology · 2025
    Article
  7. Article
  8. Article
  9. Analyzing RNA-Seq Data frombioRxiv : the preprint server for biology · 2024
    Article
  10. Genome organization and genomics inFrontiers in cellular and infection microbiology · 2023
    Review
  11. Article
  12. 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

4 authors at 3 institutions in 3 countries.

Regan J HaywardThe iThree Institute, Faculty of Science, University of Technology Sydney, Sydney, Australia. Regan.Hayward@helmholtz-hiri.de.
Michael S HumphrysInstitute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA.
Wilhelmina M HustonSchool of Life Sciences, Faculty of Science, University of Technology Sydney, Sydney, Australia.
Garry S A MyersThe iThree Institute, Faculty of Science, University of Technology Sydney, Sydney, Australia.
University of Technology Sydney · AUHelmholtz Centre for Infection Research · DEUniversity of Maryland, Baltimore · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dual RNA-seq experiments examining viral and bacterial pathogens are increasing, but vary considerably in their experimental designs, such as infection rates and RNA depletion methods. Here, we have applied dual RNA-seq to Chlamydia trachomatis infected epithelial cells to examine transcriptomic responses from both organisms. We compared two time points post infection (1 and 24 h), three multiplicity of infection (MOI) ratios (0.1, 1 and 10) and two RNA depletion methods (rRNA and polyA). Capture of bacterial-specific RNA were greatest when combining rRNA and polyA depletion, and when using a higher MOI. However, under these conditions, host RNA capture was negatively impacted. Although it is tempting to use high infection rates, the implications on host cell survival, the potential reduced length of infection cycles and real world applicability should be considered. This data highlights the delicate nature of balancing host-pathogen RNA capture and will assist future transcriptomic-based studies to achieve more specific and relevant infection-related biological insights.

Indexed as

Cell SurvivalChlamydia InfectionsChlamydia trachomatisEpithelial CellsExome SequencingGene Expression Regulation, BacterialHost-Pathogen InteractionsHumansPoly ARNA, BacterialRNA, RibosomalRNA-SeqPoly ARNA, BacterialRNA, Ribosomal

Identifiers

PMID34001998
PMCPMC8128910
OpenAlexW3161307919

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.