Whole cell segmentation in solid tissue sections

Baggett, Daniel; Nakaya, Muneo; McAuliffe, Matthew J.; Yamaguchi, Terry P.; Lockett, Stephen

doi:10.1002/cyto.a.20162

Cited by 72 publications

(69 citation statements)

References 25 publications

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“…Cell cycle is a vital biological process that regulates the growth and metabolism of the human body (27)(28)(29). In the present study, the effect of SM on the cell cycle was investigated.…”

Section: Discussionmentioning

confidence: 97%

Solamargine triggers hepatoma cell death through apoptosis

et al. 2015

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Abstract. Solamargine (SM), a steroidal alkaloid glycoside extracted from the traditional Chinese herb Solanum incanum, has been evidenced to inhibit the growth and induce apoptosis in a number of human cancer cell lines. In the present study, the anticancer effect of SM and underlying molecular mechanism of SM-induced apoptosis were investigated on the human hepatocellular carcinoma cells, SMMC7721 and HepG2. The proliferation effects of SM on the SMMC7721 and HepG2 cell lines were evaluated using MTT and colony formation assays. In addition, the percentage of apoptosis was measured using an Annexin V/propidium iodide staining method and the cell cycle distribution mediated by SM was analyzed using flow cytometry. The expression levels of B-cell lymphoma-2 (Bcl-2), Bcl-2-associated X protein (Bax), caspase-3, caspase-9, proliferating cell nuclear antigen (pcna) and Ki67 proteins were examined to further demonstrate the proliferate and apoptosis effects of SM on the hepatoma cells. The results indicated that SM effectively inhibited hepatoma cell proliferation and promoted apoptosis. SM resulted in cell cycle arrest at the G 2 /M phase in the two cell lines. In addition, SM downregulated the levels of proliferation-associated (Ki67 and pcna) and anti-apoptotic (Bcl-2) proteins, and promoted the activity of apoptosis-associated proteins (Bax, caspase-3 and caspase-9). Therefore, the activation of the Bcl-2/Bax and caspase signaling pathways may be involved in the SM-induced apoptosis of hepatoma cells.

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Section: Discussionmentioning

confidence: 97%

Solamargine triggers hepatoma cell death through apoptosis

et al. 2015

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“…Samples were visualized using a Zeiss LSM510 confocal microscope (Carl Zeiss, Jena, Germany) with all images acquired using identical parameters. Cell nuclei were semi-automatically segmented using a dynamic programming method (Baggett et al, 2005). PML nuclear bodies were automatically detected using a modification of a method based on multiscale products (Olivo-Marin, 2002).…”

Section: Immunofluorescence Studiesmentioning

confidence: 99%

Loss of SUMO1 in mice affects RanGAP1 localization and formation of PML nuclear bodies, but is not lethal as it can be compensated by SUMO2 or SUMO3

Evdokimov

Sharma

Lockett

et al. 2008

Journal of Cell Science

135

112

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Conjugation of the small ubiquitin-like modifier (SUMO) to target proteins regulates numerous biological processes and has been implicated in tumorigenesis and metastasis. The three SUMO isoforms in vertebrates, SUMO1 and the highly similar SUMO2 and SUMO3, can be conjugated to unique as well as overlapping subsets of target proteins. Yet, it is still not clear whether roles for each family member are distinct or whether redundancy exists. Here we describe a mutant mouse line that completely lacks SUMO1, but surprisingly is viable and lacks any overt phenotype. Our study points to compensatory utilization of SUMO2 and/or SUMO3 for sumoylation of SUMO1 targets. The ability of SUMO isoforms to substitute for one another has important implications for rational targeting of the SUMO pathway.

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“…The next section provides a description of the samples and images, followed by an explanation of the analytical methods: (1) segmentation of nuclei, (2) the PRE for selecting accurately delineated nuclei, and (3) boundary accuracy assessment of selected nuclei. The following section reports the performance results of the PRE and the boundary accuracy assessment in comparison to a 2D DP-based segmentation algorithm (14) which serves as a reference. Subsequently, the proposed method is applied to tissue section images for detecting breast cancer based on gene localization in the nuclei.…”

Section: Introductionmentioning

confidence: 99%

Automatic segmentation and supervised learning‐based selection of nuclei in cancer tissue images

et al. 2012

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Analysis of preferential localization of certain genes within the cell nuclei is emerging as a new technique for the diagnosis of breast cancer. Quantitation requires accurate segmentation of 100-200 cell nuclei in each tissue section to draw a statistically significant result. Thus, for large-scale analysis, manual processing is too time consuming and subjective. Fortuitously, acquired images generally contain many more nuclei than are needed for analysis. Therefore, we developed an integrated workflow that selects, following automatic segmentation, a subpopulation of accurately delineated nuclei for positioning of fluorescence in situ hybridization-labeled genes of interest. Segmentation was performed by a multistage watershed-based algorithm and screening by an artificial neural network-based pattern recognition engine. The performance of the workflow was quantified in terms of the fraction of automatically selected nuclei that were visually confirmed as well segmented and by the boundary accuracy of the well-segmented nuclei relative to a 2D dynamic programming-based reference segmentation method. Application of the method was demonstrated for discriminating normal and cancerous breast tissue sections based on the differential positioning of the HES5 gene. Automatic results agreed with manual analysis in 11 out of 14 cancers, all four normal cases, and all five noncancerous breast disease cases, thus showing the accuracy and robustness of the proposed approach. Published 2012 Wiley-Periodicals, Inc. y

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Whole cell segmentation in solid tissue sections

Cited by 72 publications

References 25 publications

Solamargine triggers hepatoma cell death through apoptosis

Solamargine triggers hepatoma cell death through apoptosis

Loss of SUMO1 in mice affects RanGAP1 localization and formation of PML nuclear bodies, but is not lethal as it can be compensated by SUMO2 or SUMO3

Automatic segmentation and supervised learning‐based selection of nuclei in cancer tissue images

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