Evidence map›Paper›PMID 22615279›Full record

ArticleAntimicrobial agents and chemotherapy2012

An automated image-based method for rapid analysis of Chlamydia infection as a tool for screening antichlamydial agents.

Ichie Osaka, Jeffrey M Hills, Sarah L Kieweg, Heather E Shinogle, David S Moore, P Scott Hefty

Abstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Heliyon · 2021
    Article
  3. Article
  4. Article
  5. Red FluorescentFrontiers in microbiology · 2018
    Article
  6. Pharmacognosy magazine · 2017
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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.

Ichie OsakaDepartment of Molecular Biosciences, University of Kansas, Lawrence, Kansas, USA.
Jeffrey M Hills
Sarah L Kieweg
Heather E Shinogle
David S Moore
P Scott Hefty

Funding

Biomechanical and Computational Molecular Design of Microbicide Delivery SystemsR33AI082697 · NIAID · UNIVERSITY OF KANSAS LAWRENCE · PI KIEWEG, SARAH · 2011 to 2013
$1.3M
Biomechanical and Computational Molecular Design of Microbicide Delivery SystemsR21AI082697 · NIAID · UNIVERSITY OF KANSAS LAWRENCE · PI KIEWEG, SARAH · 2009 to 2010
$400k
NIAID NIH HHS AI082697NIAID NIH HHS R21 AI082697NIAID NIH HHS R33 AI082697
6 · The paper itself

Abstract

A major limitation in the identification of novel antichlamydial compounds is the paucity of effective methods for large-scale compound screening. The immunofluorescence assay is the preferred approach for accurate quantification of the intracellular growth of Chlamydia. In this study, an immunofluorescence image-based method (termed image-based automated chlamydial identification and enumeration [iBAChIE]) was customized for fully automated quantification of Chlamydia infection using the freely available open-source image analysis software program CellProfiler and the complementary data exploration software program CellProfiler Analyst. The method yielded enumeration of different species and strains of Chlamydia highly comparably to the conventional manual methods while drastically reducing the analysis time. The inhibitory capability of established antichlamydial activity was also evaluated. Overall, these data support that iBAChIE is a highly effective tool for automated quantification of Chlamydia infection and assessment of antichlamydial activities of molecules. Furthermore, iBAChIE is expected to be amenable to high-throughput screening studies for inhibitory compounds and fluorescently labeled molecules to study host-pathogen interactions.

Indexed as

AnimalsAnti-Bacterial AgentsCell Line, TumorChlamydiaChlamydia InfectionsFluorescent Antibody TechniqueHost-Pathogen InteractionsHumansImage Processing, Computer-AssistedMiceMicrobial Sensitivity TestsAnti-Bacterial Agents

Identifiers

PMID22615279
PMCPMC3421616

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.