Evidence map›Paper›PMID 26294010›Full record

ArticleAnnals of biomedical engineering2016

Cellular and Nuclear Alignment Analysis for Determining Epithelial Cell Chirality.

Michael J Raymond, Poulomi Ray, Gurleen Kaur, Ajay V Singh, Leo Q Wan

Abstract read
In one paragraph

Article in Annals of biomedical engineering, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Contractile forces direct the chiral swirling of minimal cell collectives.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Fabrication of Micropatterns of Aligned Collagen Fibrils.Langmuir : the ACS journal of surfaces and colloids · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Cell organelle-based analysis of cell chirality.Communicative & integrative biology · 2019
    Article
  14. Intrinsic cellular chirality regulates left-right symmetry breaking during cardiac looping.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  15. Epithelial Cell Chirality Revealed by Three-Dimensional Spontaneous Rotation.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Cell Chirality Drives Left-Right Asymmetric Morphogenesis.Frontiers in cell and developmental biology · 2018
    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

5 authors.

Michael J RaymondDepartment of Biomedical Engineering, Rensselaer Polytechnic Institute, Biotech 2147, 110 8th Street, Troy, NY, 12180, USA.
Poulomi RayDepartment of Biomedical Engineering, Rensselaer Polytechnic Institute, Biotech 2147, 110 8th Street, Troy, NY, 12180, USA.
Gurleen KaurDepartment of Biology, Rensselaer Polytechnic Institute, 110 8th Street, Troy, NY, 12180, USA.
Ajay V SinghDepartment of Biomedical Engineering, Rensselaer Polytechnic Institute, Biotech 2147, 110 8th Street, Troy, NY, 12180, USA.
Leo Q WanDepartment of Biomedical Engineering, Rensselaer Polytechnic Institute, Biotech 2147, 110 8th Street, Troy, NY, 12180, USA. wanq@rpi.edu.

Funding

Cell Chirality Based In Vitro Models For Embryonic Development and AbnormalitiesDP2HD083961 · NICHD · RENSSELAER POLYTECHNIC INSTITUTE · PI WAN, LEO Q. · 2014 to 2016
$2.6M
NICHD NIH HHS DP2 HD083961
6 · The paper itself

Abstract

Left-right (LR) asymmetry is a biologically conserved property in living organisms that can be observed in the asymmetrical arrangement of organs and tissues and in tissue morphogenesis, such as the directional looping of the gastrointestinal tract and heart. The expression of LR asymmetry in embryonic tissues can be appreciated in biased cell alignment. Previously an in vitro chirality assay was reported by patterning multiple cells on microscale defined geometries and quantified the cell phenotype-dependent LR asymmetry, or cell chirality. However, morphology and chirality of individual cells on micropatterned surfaces has not been well characterized. Here, a Python-based algorithm was developed to identify and quantify immunofluorescence stained individual epithelial cells on multicellular patterns. This approach not only produces results similar to the image intensity gradient-based method reported previously, but also can capture properties of single cells such as area and aspect ratio. We also found that cell nuclei exhibited biased alignment. Around 35% cells were misaligned and were typically smaller and less elongated. This new imaging analysis approach is an effective tool for measuring single cell chirality inside multicellular structures and can potentially help unveil biophysical mechanisms underlying cellular chiral bias both in vitro and in vivo.

Indexed as

AnimalsCell NucleusCell PolarityDogsMadin Darby Canine Kidney CellsCell alignmentCell morphologyIntensity gradientMicropatterningNucleus alignment

Identifiers

PMID26294010
PMCPMC4761535

What OpenQuestion holds

Textmetadata
LicenceTDM
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.