Computational image analysis of nuclear morphology associated with various nuclear-specific aging disorders

Siwon Choi, Wei Wang, Alexandrew J.S. Ribeiro, Agnieszka Kalinowski, Siobhan Q. Gregg, Patricia L. Opresko, Laura J. Niedernhofer, Gustavo K. Rohde, Kris Noel Dahl

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

Computational image analysis is used in many areas of biological and medical research, but advanced techniques including machine learning remain underutilized. Here, we used automated segmentation and shape analyses, with predefined features and with computer generated components, to compare nuclei from various premature aging disorders caused by alterations in nuclear proteins. We considered cells from patients with Hutchinson-Gilford progeria syndrome (HGPS) with an altered nucleoskeletal protein; a mouse model of XFE progeroid syndrome caused by a deficiency of ERCC1-XPF DNA repair nuclease; and patients with Werner syndrome (WS) lacking a functional WRN exonuclease and helicase protein. Using feature space analysis, including circularity, eccentricity, and solidity, we found that XFE nuclei were larger and significantly more elongated than control nuclei. HGPS nuclei were smaller and rounder than the control nuclei with features suggesting small bumps. WS nuclei did not show any significant shape changes from control. We also performed principle component analysis (PCA) and a geometric, contour based metric. PCA allowed direct visualization of morphological changes in diseased nuclei, whereas standard, feature-based approaches required predefined parameters and indirect interpretation of multiple parameters. Both methods yielded similar results, but PCA proves to be a powerful pre-analysis methodology for unknown systems.

Original languageEnglish (US)
Pages (from-to)570-579
Number of pages10
JournalNucleus
Volume2
Issue number6
DOIs
StatePublished - 2011
Externally publishedYes

Bibliographical note

Funding Information:
This work was funded partly by the NIH (ES0515052 to P.L.O., ES016114 to L.J.N. and S.Q.G., F30AG030905 to A.K. and GM088816 to G.K.R.), NSF (CBET-0954421 to K.N. D.) and the Progeria Research Foundation (to K.N.D.). S.C. wrote, refined and applied image analysis code and contributed to manuscript preparation. W.W. wrote and refined image analysis code and contributed to manuscript preparation. A.J.S.R. contributed to sample preparation, imaging, code refinement and manuscript preparation. A.K. contributed to sample preparation, imaging and manuscript preparation. S.Q.G. contributed to sample preparation, imaging and manuscript preparation. P.L.O. provided reagents and contributed to manuscript preparation. L.J.N. contributed to experimental design and manuscript preparation. G.K.R. wrote and refined image analysis code and contributed to manuscript preparation. K.N.D. oversaw the multiple PI project and contributed to manuscript preparation.

Keywords

  • Aging
  • Feature space analysis
  • Hutchinson gilford progeria syndrome
  • Nuclear image analysis
  • Principal component analysis
  • Werner syndrome
  • XFE progeroid syndrome

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