Evidence map›Paper›PMID 26962703›Full record

ArticleNucleus (Austin, Tex.)2016

Loss of the integral nuclear envelope protein SUN1 induces alteration of nucleoli.

Ayaka Matsumoto, Chiyomi Sakamoto, Haruka Matsumori, Jun Katahira, Yoko Yasuda, Katsuhide Yoshidome, Masahiko Tsujimoto, Ilya G Goldberg, Nariaki Matsuura, Mitsuyoshi Nakao and 2 more

Open access · goldAbstract read
In one paragraph

Article in Nucleus (Austin, Tex.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

21 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Mechanobiology of the Nucleolus.Biology of the cell · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Genome communication in plants mediated by organelle-n-ucleus-located proteins.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. 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

12 authors at 4 institutions in 2 countries.

Ayaka Matsumotoa Osaka University , Graduate School of Medicine and Health Science , Suita City , Osaka , Japan.
Chiyomi Sakamotob Department of Medical Cell Biology , Institute of Molecular Embryology and Genetics, Kumamoto University , Kumamoto , Japan.
Haruka Matsumorib Department of Medical Cell Biology , Institute of Molecular Embryology and Genetics, Kumamoto University , Kumamoto , Japan.
Jun Katahirac Osaka University , Graduate School of Frontier Bioscience , Suita City , Osaka , Japan.
Yoko Yasudab Department of Medical Cell Biology , Institute of Molecular Embryology and Genetics, Kumamoto University , Kumamoto , Japan.
Katsuhide Yoshidomed Department of Breast Surgery , Osaka Police Hospital , Tennoji-ku , Osaka , Japan.
Masahiko Tsujimotoe Department of Pathology , Osaka Police Hospital , Tennoji-ku , Osaka , Japan.
Ilya G Goldbergf Image Informatics and Computational Biology Unit, Laboratory of Genetics , National Institute on Aging, National Institutes of Health , Baltimore , MD USA.
Nariaki Matsuuraa Osaka University , Graduate School of Medicine and Health Science , Suita City , Osaka , Japan.
Mitsuyoshi Nakaob Department of Medical Cell Biology , Institute of Molecular Embryology and Genetics, Kumamoto University , Kumamoto , Japan.
Noriko Saitohb Department of Medical Cell Biology , Institute of Molecular Embryology and Genetics, Kumamoto University , Kumamoto , Japan.
Miki Hiedaa Osaka University , Graduate School of Medicine and Health Science , Suita City , Osaka , Japan.
Kumamoto University · JPOsaka University · JPOsaka Police Hospital · JPNational Institute on Aging · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A supervised machine learning algorithm, which is qualified for image classification and analyzing similarities, is based on multiple discriminative morphological features that are automatically assembled during the learning processes. The algorithm is suitable for population-based analysis of images of biological materials that are generally complex and heterogeneous. Here we used the algorithm wndchrm to quantify the effects on nucleolar morphology of the loss of the components of nuclear envelope in a human mammary epithelial cell line. The linker of nucleoskeleton and cytoskeleton (LINC) complex, an assembly of nuclear envelope proteins comprising mainly members of the SUN and nesprin families, connects the nuclear lamina and cytoskeletal filaments. The components of the LINC complex are markedly deficient in breast cancer tissues. We found that a reduction in the levels of SUN1, SUN2, and lamin A/C led to significant changes in morphologies that were computationally classified using wndchrm with approximately 100% accuracy. In particular, depletion of SUN1 caused nucleolar hypertrophy and reduced rRNA synthesis. Further, wndchrm revealed a consistent negative correlation between SUN1 expression and the size of nucleoli in human breast cancer tissues. Our unbiased morphological quantitation strategies using wndchrm revealed an unexpected link between the components of the LINC complex and the morphologies of nucleoli that serves as an indicator of the malignant phenotype of breast cancer cells.

Indexed as

AlgorithmsMachine LearningBreast NeoplasmsCell Line, TumorCell NucleolusFemaleHumansMembrane ProteinsMicrotubule-Associated ProteinsNeoplasm ProteinsNuclear EnvelopeNuclear ProteinsRNA, NeoplasmRNA, RibosomalMembrane ProteinsMicrotubule-Associated ProteinsNeoplasm ProteinsNuclear ProteinsRNA, NeoplasmRNA, RibosomalSUN1 protein, humanbreast cancerlamin A/CLINC complexnuclear envelopenuclear morphologySUN1SUN2wndchrm

Identifiers

PMID26962703
PMCPMC4916878
OpenAlexW2296032372

What OpenQuestion holds

Textmetadata
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.