Literature DB >> 22342954

Quantitative shape analysis of chemoresistant colon cancer cells: correlation between morphotype and phenotype.

A Pasqualato1, A Palombo, A Cucina, M A Mariggiò, L Galli, D Passaro, S Dinicola, S Proietti, F D'Anselmi, P Coluccia, M Bizzarri.   

Abstract

Morphological, qualitative observations allow pathologists to correlate the shape the cells acquire with the progressive, underlying neoplastic transformation they are experienced. Cell morphology, indeed, roughly scales with malignancy. A quantitative parameter for characterizing complex irregular structures is the Normalized Bending Energy (NBE). NBE provides a global feature for shape characterization correspondent to the amount of energy needed to transform the specific shape under analysis into its lowest energy state. We hypothesized that a chemotherapy resistant cancer cell line would experience a significant change in its shape, and that such a modification might be quantified by means of NBE parameterization. We checked out the usefulness of a mathematical algorithm to distinguish wild and 5-fluorouracil (5-FU)-resistant colon cancer HCT-8 cells (HCT-8FUres). NBE values, as well as cellular and molecular parameters, were recorded in both cell populations. Results demonstrated that acquisition of drug resistance is accompanied by statistically significant morphological changes in cell membrane, as well as in biological parameters. Namely, NBE increased progressively meanwhile cells become more resistant to increasing 5-FU concentrations. These data indicate how tight the relationships between morphology and phenotype is, and they support the idea to follow a cell transition toward a drug-resistant phenotype by means of morphological monitoring. Copyright Â
© 2012 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22342954     DOI: 10.1016/j.yexcr.2012.01.022

Source DB:  PubMed          Journal:  Exp Cell Res        ISSN: 0014-4827            Impact factor:   3.905


  12 in total

1.  Shape in migration: quantitative image analysis of migrating chemoresistant HCT-8 colon cancer cells.

Authors:  Alessia Pasqualato; Vittorio Lei; Alessandra Cucina; Simona Dinicola; Fabrizio D'Anselmi; Sara Proietti; Maria Grazia Masiello; Alessandro Palombo; Mariano Bizzarri
Journal:  Cell Adh Migr       Date:  2013-10-22       Impact factor: 3.405

2.  Automated biophysical classification of apoptotic pancreatic cancer cell subpopulations by using machine learning approaches with impedance cytometry.

Authors:  Carlos Honrado; Armita Salahi; Sara J Adair; John H Moore; Todd W Bauer; Nathan S Swami
Journal:  Lab Chip       Date:  2022-09-27       Impact factor: 7.517

3.  Pien Tze Huang Overcomes Multidrug Resistance and Epithelial-Mesenchymal Transition in Human Colorectal Carcinoma Cells via Suppression of TGF-β Pathway.

Authors:  Aling Shen; Hongwei Chen; Youqin Chen; Jiumao Lin; Wei Lin; Liya Liu; Thomas J Sferra; Jun Peng
Journal:  Evid Based Complement Alternat Med       Date:  2014-11-19       Impact factor: 2.629

4.  Genomic profiling of long non-coding RNA and mRNA expression associated with acquired temozolomide resistance in glioblastoma cells.

Authors:  Huijun Zeng; Ningbo Xu; Yanting Liu; Boyang Liu; Zhao Yang; Zhao Fu; Changlin Lian; Hongbo Guo
Journal:  Int J Oncol       Date:  2017-06-07       Impact factor: 5.650

5.  TISMorph: A tool to quantify texture, irregularity and spreading of single cells.

Authors:  Elaheh Alizadeh; Wenlong Xu; Jordan Castle; Jacqueline Foss; Ashok Prasad
Journal:  PLoS One       Date:  2019-06-03       Impact factor: 3.240

6.  Complexity in Biological Organization: Deconstruction (and Subsequent Restating) of Key Concepts.

Authors:  Mariano Bizzarri; Oleg Naimark; José Nieto-Villar; Valeria Fedeli; Alessandro Giuliani
Journal:  Entropy (Basel)       Date:  2020-08-12       Impact factor: 2.524

7.  Bidirectional Genetic Control of Phenotypic Heterogeneity and Its Implication for Cancer Drug Resistance.

Authors:  Ning Mo; Xiaoyu Zhang; Wenjun Shi; Gongwang Yu; Xiaoshu Chen; Jian-Rong Yang
Journal:  Mol Biol Evol       Date:  2021-05-04       Impact factor: 16.240

8.  Cell-morphodynamic phenotype classification with application to cancer metastasis using cell magnetorotation and machine-learning.

Authors:  Remy Elbez; Jeff Folz; Alan McLean; Hernan Roca; Joseph M Labuz; Kenneth J Pienta; Shuichi Takayama; Raoul Kopelman
Journal:  PLoS One       Date:  2021-11-17       Impact factor: 3.240

9.  Cell morphology and mechanosensing can be decoupled in fibrous microenvironments and identified using artificial neural networks.

Authors:  Edward D Bonnevie; Beth G Ashinsky; Bassil Dekky; Susan W Volk; Harvey E Smith; Robert L Mauck
Journal:  Sci Rep       Date:  2021-03-15       Impact factor: 4.379

Review 10.  Guidelines for a Morphometric Analysis of Prokaryotic and Eukaryotic Cells by Scanning Electron Microscopy.

Authors:  Dominika Czerwińska-Główka; Katarzyna Krukiewicz
Journal:  Cells       Date:  2021-11-25       Impact factor: 6.600

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.