Evidence map›Paper›PMID 35586988›Full record

ArticleApplied and environmental microbiology2022

Visualization of mRNA Expression in Pseudomonas aeruginosa Aggregates Reveals Spatial Patterns of Fermentative and Denitrifying Metabolism.

Jadzia Livingston, Melanie A Spero, Zachery R Lonergan, Dianne K Newman

Open access · greenAbstract read
In one paragraph

Article in Applied and environmental microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 34% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Mechanisms of microbial co-aggregation in mixed anaerobic cultures.Applied microbiology and biotechnology · 2024
    Review
  2. Article
  3. Targeting Anaerobic Respiration inAdvances in wound care · 2024
    Article
  4. Article
  5. Article
  6. How to study biofilms: technological advancements in clinical biofilm research.Frontiers in cellular and infection microbiology · 2023
    Review
  7. Review
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 1 institution in 1 country.

Jadzia LivingstonDivision of Biology and Biological Engineering, Caltech, Pasadena, California, USA.
Melanie A SperoDivision of Biology and Biological Engineering, Caltech, Pasadena, California, USA.
Zachery R LonerganDivision of Biology and Biological Engineering, Caltech, Pasadena, California, USA.
Dianne K NewmanDivision of Biology and Biological Engineering, Caltech, Pasadena, California, USA.ORCID 0000-0003-1647-1918
California Institute of Technology · US

Funding

Testing the hypothesis that microbial energetic hijacking of the CF immune response selects for specific pathogens during lung function decline- Diversity SupplementR01HL152190 · NHLBI · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI NEWMAN, DIANNE K · 2020 to 2023
$2.0M
HHS | National Institutes of Health (NIH) R01 HL152190-03NHLBI NIH HHS R01 HL152190
6 · The paper itself

Abstract

Gaining insight into the behavior of bacteria at the single-cell level is important given that heterogeneous microenvironments strongly influence microbial physiology. The hybridization chain reaction (HCR) is a technique that provides

Indexed as

Acetate KinasePseudomonas aeruginosaAgarDenitrificationFermentationNitrate ReductaseNitrite ReductasesOxidoreductasesOxygenRNA, MessengerAcetate KinaseAgarNitrate ReductaseNitrite ReductasesOxidoreductasesOxygenRNA, MessengerABBAaggregatesbiofilmsdenitrificationgene expressionHCRheterogeneityhybridization chain reactionPseudomonas aeruginosa

Identifiers

PMID35586988
PMCPMC9195945
OpenAlexW4280586541

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.