Evidence map›Paper›PMID 36259735›Full record

ArticlemSystems2022

ESKAPE Act Plus: Pathway Activation Analysis for Bacterial Pathogens.

Katja Koeppen, Thomas H Hampton, Samuel L Neff, Bruce A Stanton

Abstract read
In one paragraph

Article in mSystems, 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
–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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Microbiology spectrum · 2024
    Article
  5. Article
  6. Analysis ofbioRxiv : the preprint server for biology · 2023
    Article
  7. 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.

Katja KoeppenDepartment of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, USA.ORCID 0000-0003-1094-0621
Thomas H HamptonDepartment of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, USA.ORCID 0000-0003-0543-402X
Samuel L NeffDepartment of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, USA.
Bruce A StantonDepartment of Microbiology and Immunology, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, USA.

Funding

Translational Research CoreP30DK117469 · NIDDK · DARTMOUTH COLLEGE · PI DEAN R MADDEN · 2018 to 2026
$13.9M
Retrieval, Reprocessing, Normalization and Sharing of Gene Expression and Lung Microbiome Data Sets to Facilitate AI/ML Analysis Studies of Bacterial Lung InfectionsR01HL151385 · NHLBI · DARTMOUTH COLLEGE · PI STANTON, BRUCE A. · 2021 to 2024
$2.4M
NHLBI NIH HHS R01 HL151385NIDDK NIH HHS P30 DK117469
6 · The paper itself

Abstract

The last 20 years have witnessed an explosion in publicly available gene expression and proteomic data and new tools to help researchers analyze these data. Tools typically include statistical approaches to identify differential expression, integrate prior knowledge, visualize results, and suggest how differential expression relates to changes in phenotype. Here, we provide a simple web-based tool that bridges some of the gaps between the functionality available to those studying eukaryotes and those studying prokaryotes. Specifically, our Shiny web application ESKAPE Act PLUS allows researchers to upload results of high-throughput bacterial gene or protein expression experiments from 13 species, including the six ESKAPE pathogens, to our system and receive (i) an analysis of which KEGG pathways or GO terms are significantly activated or repressed, (ii) visual representations of the magnitude of activation or repression in each category, and (iii) detailed diagrams showing known relationships between genes in each regulated KEGG pathway and fold changes of individual genes. Importantly, our statistical approach does not require users to identify which genes or proteins are differentially expressed. ESKAPE Act PLUS provides high-quality statistics and graphical representations not available using other web-based systems to assess whether prokaryotic biological functions are activated or repressed by experimental conditions. To our knowledge, ESKAPE Act PLUS is the first application that provides pathway activation analysis and pathway-level visualization of gene or protein expression for prokaryotes.

Indexed as

BacteriaProteomicsGenes, BacterialSoftwarebacteriaESKAPEESKAPE pathogensgene ontologyGO termsKEGGpathogenspathway activation analysisprokaryotesProkaryotesShinyShiny web applicationweb application

Identifiers

PMID36259735
PMCPMC9764987

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.