Evidence map›Paper›PMID 23209697›Full record

ArticlePloS one2012

Estimating microtubule distributions from 2D immunofluorescence microscopy images reveals differences among human cultured cell lines.

Jieyue Li, Aabid Shariff, Mikaela Wiking, Emma Lundberg, Gustavo K Rohde, Robert F Murphy

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.2field-weighted citation impact, top 7% 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

15 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Microtubule regulation in cancer cells.Frontiers in cell and developmental biology · 2025
    Article
  3. Antibody Self-Assembly Maximizes Cytoplasmic Immunostaining Accuracy of Compact Quantum Dots.Chemistry of materials : a publication of the American Chemical Society · 2021
    Article
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  14. Article
  15. Extraction of Individual Filaments from 2D Confocal Microscopy Images of Flat Cells.IEEE/ACM transactions on computational biology and bioinformatics
    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 at 4 institutions in 3 countries.

Jieyue LiCenter for Bioimage Informatics, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America.
Aabid Shariff
Mikaela Wiking
Emma Lundberg
Gustavo K Rohde
Robert F Murphy
Carnegie Mellon University · USKTH Royal Institute of Technology · SEScience for Life Laboratory · SEUniversity of Freiburg · DE

Funding

Image-derived Spatiotemporal Models of Cellular Organization and PerturbationR01GM090033 · NIGMS · CARNEGIE-MELLON UNIVERSITY · PI MURPHY, ROBERT F, ROHDE, GUSTAVO KUNDE · 2010 to 2018
$2.4M
BUILDING AND VALIDATING LOCATION PROTEOMICS DATABASESR01GM075205 · NIGMS · CARNEGIE-MELLON UNIVERSITY · PI MURPHY, ROBERT F · 2007 to 2011
$1.8M
NIGMS NIH HHS GM075205NIGMS NIH HHS GM090033NIGMS NIH HHS R01 GM075205NIGMS NIH HHS R01 GM090033
6 · The paper itself

Abstract

Microtubules are filamentous structures that are involved in several important cellular processes, including cell division, cellular structure and mechanics, and intracellular transportation. Little is known about potential differences in microtubule distributions within and across cell lines. Here we describe a method to estimate information pertaining to 3D microtubule distributions from 2D fluorescence images. Our method allows for quantitative comparisons of microtubule distribution parameters (number of microtubules, mean length) between different cell lines. Among eleven cell lines compared, some showed differences that could be accounted for by differences in the total amount of tubulin per cell while others showed statistically significant differences in the balance between number and length of microtubules. We also observed that some cell lines that visually appear different in their microtubule distributions are quite similar when the model parameters are considered. The method is expected to be generally useful for comparing microtubule distributions between cell lines and for a given cell line after various perturbations. The results are also expected to enable analysis of the differences in gene expression underlying the observed differences in microtubule distributions among cell types.

Indexed as

Cell DivisionCell LineCell Line, TumorCell NucleusCentrosomeCluster AnalysisHeLa CellsHumansImaging, Three-DimensionalMicroscopy, ConfocalMicroscopy, FluorescenceMicrotubulesModels, StatisticalRegression AnalysisTubulinTubulin

Identifiers

PMID23209697
PMCPMC3508979
OpenAlexW2012301169

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.