Evidence map›Paper›PMID 16537359›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2006

Automated local bright feature image analysis of nuclear protein distribution identifies changes in tissue phenotype.

David W Knowles, Damir Sudar, Carol Bator-Kelly, Mina J Bissell, Sophie A Lelièvre

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Article
  3. Tissue-specific expression of ribosomal protein paralogue eRpL22-like in Drosophila melanogaster eye development.Developmental dynamics : an official publication of the American Association of Anatomists · 2020
    Article
  4. Article
  5. Article
  6. Article
  7. Architecture in 3D cell culture: An essential feature for in vitro toxicology.Toxicology in vitro : an international journal published in association with BIBRA · 2017
    Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Rapid and automated multidimensional fluorescence microscopy profiling of 3D human breast cultures.Integrative biology : quantitative biosciences from nano to macro · 2013
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Gene expression in the third dimension: the ECM-nucleus connection.Journal of mammary gland biology and neoplasia · 2010
    Review
  19. Automated quantification of DNA demethylation effects in cells via 3D mapping of nuclear signatures and population homogeneity assessment.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2009
    Article
  20. 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

5 authors.

David W KnowlesBiophysics and Cancer Biology Departments, Life Sciences Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA. dwknowles@lbl.gov
Damir Sudar
Carol Bator-Kelly
Mina J Bissell
Sophie A Lelièvre

Funding

Novel Image-Based Screening of Mammary TumorsR33CA118479 · NCI · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI KNOWLES, DAVID W. · 2006 to 2008
$890k
NCI NIH HHS R33 CA118479
6 · The paper itself

Abstract

The organization of nuclear proteins is linked to cell and tissue phenotypes. When cells arrest proliferation, undergo apoptosis, or differentiate, distribution of nuclear proteins changes. Conversely, forced alteration of the distribution of nuclear proteins modifies cell phenotype. Immunostaining and fluorescence microscopy have been critical for such findings. However, there is increasing need for quantitative analysis of nuclear protein distribution to decipher epigenetic relationships between nuclear structure and cell phenotype and to unravel the mechanisms linking nuclear structure and function. We have developed imaging methods to quantify the distribution of fluorescently stained nuclear protein NuMA in different mammary phenotypes obtained using 3D cell culture. Automated image segmentation of DAPI-stained nuclei was generated to isolate thousands of nuclei from 3D confocal images. Prominent features of fluorescently stained NuMA were detected by using a previously undescribed local bright feature analysis technique, and their normalized spatial density was calculated as a function of the distance from the nuclear perimeter to its center. The results revealed marked changes in the distribution of the density of NuMA bright features when nonneoplastic cells underwent phenotypically normal acinar morphogenesis. Conversely, we did not detect any reorganization of NuMA during formation of tumor nodules by malignant cells. Importantly, the analysis also discriminated proliferating nonneoplastic from proliferating malignant cells, suggesting that these imaging methods are capable of identifying alterations linked not only to the proliferation status but also to the malignant character of cells. We believe that this quantitative analysis will have additional applications for classifying normal and pathological tissues.

Indexed as

Antigens, NuclearBreastBreast NeoplasmsCell Cycle ProteinsCell ProliferationFemaleHumansMicroscopy, ConfocalMicroscopy, FluorescenceNuclear Matrix-Associated ProteinsPhenotypeTumor Cells, CulturedAntigens, NuclearCell Cycle ProteinsNuclear Matrix-Associated ProteinsNUMA1 protein, human

Identifiers

PMID16537359
PMCPMC1450191

What OpenQuestion holds

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Registered trials

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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.