Evidence map›Paper›PMID 28222723›Full record

ArticleBMC biology2017

Rapid, precise quantification of bacterial cellular dimensions across a genomic-scale knockout library.

Tristan Ursell, Timothy K Lee, Daisuke Shiomi, Handuo Shi, Carolina Tropini, Russell D Monds, Alexandre Colavin, Gabriel Billings, Ilina Bhaya-Grossman, Michael Broxton and 3 more

Abstract read
In one paragraph

Article in BMC biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers.

0numbers the graph read from it
0cells of the map it votes in
92citing 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

92 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Deep learning-driven bacterial cytological profiling to determine antimicrobial mechanisms inProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  18. Article
  19. ReducedMicroorganisms · 2024
    Article
  20. Article

32 more citing papers are in PubMed but not listed here.

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

13 authors.

Tristan UrsellDepartment of Bioengineering, Stanford University, Stanford, CA, 94305, USA.
Timothy K LeeDepartment of Bioengineering, Stanford University, Stanford, CA, 94305, USA.
Daisuke ShiomiNational Institute of Genetics, Shizuoka, Japan.
Handuo ShiDepartment of Bioengineering, Stanford University, Stanford, CA, 94305, USA.
Carolina TropiniBiophysics Program, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Russell D MondsDepartment of Bioengineering, Stanford University, Stanford, CA, 94305, USA.
Alexandre ColavinBiophysics Program, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Gabriel BillingsDepartment of Physics, Stanford University, Stanford, CA, 94305, USA.
Ilina Bhaya-GrossmanDepartment of Bioengineering, Stanford University, Stanford, CA, 94305, USA.
Michael BroxtonDepartment of Computer Science, Stanford University, Stanford, CA, 94305, USA.
Bevan Emma HuangJanssen Research and Development, Menlo Park, CA, 94025, USA.
Hironori NikiNational Institute of Genetics, Shizuoka, Japan.
Kerwyn Casey HuangDepartment of Bioengineering, Stanford University, Stanford, CA, 94305, USA. kchuang@stanford.edu.

Funding

TRAINING & OUTREACH COREP50GM107615 · NIGMS · STANFORD UNIVERSITY · PI TERUEL, MARY N · 2013 to 2017
$10.9M
Molecular Biophysics Training Program at StanfordT32GM008294 · NIGMS · STANFORD UNIVERSITY · PI HUANG, KERWYN C. · 1989 to 2019
$7.4M
Engineering of cell shape and intracellular organizationDP2OD006466 · OD · STANFORD UNIVERSITY · PI HUANG, KERWYN C. · 2009 to 2009
$2.4M
NIGMS NIH HHS P50 GM107615NIGMS NIH HHS T32 GM008294NIH HHS DP2 OD006466
6 · The paper itself

Abstract

backgroundThe determination and regulation of cell morphology are critical components of cell-cycle control, fitness, and development in both single-cell and multicellular organisms. Understanding how environmental factors, chemical perturbations, and genetic differences affect cell morphology requires precise, unbiased, and validated measurements of cell-shape features.

resultsHere we introduce two software packages, Morphometrics and BlurLab, that together enable automated, computationally efficient, unbiased identification of cells and morphological features. We applied these tools to bacterial cells because the small size of these cells and the subtlety of certain morphological changes have thus far obscured correlations between bacterial morphology and genotype. We used an online resource of images of the Keio knockout library of nonessential genes in the Gram-negative bacterium Escherichia coli to demonstrate that cell width, width variability, and length significantly correlate with each other and with drug treatments, nutrient changes, and environmental conditions. Further, we combined morphological classification of genetic variants with genetic meta-analysis to reveal novel connections among gene function, fitness, and cell morphology, thus suggesting potential functions for unknown genes and differences in modes of action of antibiotics.

conclusionsMorphometrics and BlurLab set the stage for future quantitative studies of bacterial cell shape and intracellular localization. The previously unappreciated connections between morphological parameters measured with these software packages and the cellular environment point toward novel mechanistic connections among physiological perturbations, cell fitness, and growth.

Indexed as

Gene Knockout TechniquesGene LibraryGenome, BacterialComputer SimulationEscherichia coliGene DeletionImaging, Three-DimensionalMicroscopy, FluorescenceReproducibility of ResultsCell biologyCell morphologyCell shapeChemical genomicsComputer visionImagingMicrobiologyMicroscopyPrincipal component analysisSegmentation

Identifiers

PMID28222723
PMCPMC5320674

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.