Evidence map›Paper›PMID 25879937›Full record

ArticlePLoS computational biology2015

A power-law dependence of bacterial invasion on mammalian host receptors.

Tae J Lee, Jeffrey Wong, Sena Bae, Anna Jisu Lee, Allison Lopatkin, Fan Yuan, Lingchong You

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 2 institutions in 1 country.

Tae J LeeDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America; Center for Genomic and Computational Biology, Duke University, Durham, North Carolina, United States of America.
Jeffrey WongDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America; Center for Genomic and Computational Biology, Duke University, Durham, North Carolina, United States of America.
Sena BaeDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America; Center for Genomic and Computational Biology, Duke University, Durham, North Carolina, United States of America.
Anna Jisu LeeDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America.
Allison LopatkinDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America.
Fan YuanDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America.
Lingchong YouDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America; Center for Genomic and Computational Biology, Duke University, Durham, North Carolina, United States of America; Center for Systems Biology, Duke University, Durham, North Carolina, United States of America.
Duke University · USCenter for Systems Biology · US

Funding

Post-antibiotic effect and design of optimal antibiotic dosing protocolsR01GM098642 · NIGMS · DUKE UNIVERSITY · PI YOU, LINGCHONG · 2011 to 2025
$3.6M
Temporal E2F Dynamics and Cell-Fate Decisions in Single Mammalian CellsR01GM106107 · NIGMS · DUKE UNIVERSITY · PI YOU, LINGCHONG · 2014 to 2017
$1.2M
NIGMS NIH HHS 1R01GM098642NIGMS NIH HHS R01 GM098642NIGMS NIH HHS R01 GM106107
6 · The paper itself

Abstract

Pathogenic bacteria such as Listeria and Yersinia gain initial entry by binding to host target cells and stimulating their internalization. Bacterial uptake entails successive, increasingly strong associations between receptors on the surface of bacteria and hosts. Even with genetically identical cells grown in the same environment, there are vast differences in the number of bacteria entering any given cell. To gain insight into this variability, we examined uptake dynamics of Escherichia coli engineered to express the invasin surface receptor from Yersinia, which enables uptake via mammalian host β1-integrins. Surprisingly, we found that the uptake probability of a single bacterium follows a simple power-law dependence on the concentration of integrins. Furthermore, the value of a power-law parameter depends on the particular host-bacterium pair but not on bacterial concentration. This power-law captures the complex, variable processes underlying bacterial invasion while also enabling differentiation of cell lines.

Indexed as

BacteriaBacterial AdhesionBacterial InfectionsBacterial ProteinsComputational BiologyHeLa CellsHost-Pathogen InteractionsHumansMembrane ProteinsModels, BiologicalBacterial ProteinsMembrane Proteins

Identifiers

PMID25879937
PMCPMC4399907
OpenAlexW1989124411

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.