Literature DB >> 27685661

Comparison of Three Different Methods for Determining Cell Proliferation in Breast Cancer Cell Lines.

Brianna C Morten1, Rodney J Scott2, Kelly A Avery-Kiejda3.   

Abstract

Measuring cell proliferation can be performed by a number of different methods, each with varying levels of sensitivity, reproducibility and compatibility with high-throughput formatting. This protocol describes the use of three different methods for measuring cell proliferation in vitro including conventional hemocytometer counting chamber, a luminescence-based assay that utilizes the change in the metabolic activity of viable cells as a measure of the relative number of cells, and a multi-mode cell imager that measures cell number using a counting algorithm. Each method presents its own advantages and disadvantages for the measurement of cell proliferation, including time, cost and high-throughput compatibility. This protocol demonstrates that each method could accurately measure cell proliferation over time, and was sensitive to detect growth at differing cellular densities. Additionally, measurement of cell proliferation using a cell imager was able to provide further information such as morphology, confluence and allowed for a continual monitoring of cell proliferation over time. In conclusion, each method is capable of measuring cell proliferation, but the chosen method is user-dependent.

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Year:  2016        PMID: 27685661      PMCID: PMC5091975          DOI: 10.3791/54350

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  10 in total

1.  Use of multiple assay endpoints to investigate the effects of incubation time, dose of toxin, and plating density in cell-based cytotoxicity assays.

Authors:  Terry L Riss; Richard A Moravec
Journal:  Assay Drug Dev Technol       Date:  2004-02       Impact factor: 1.738

2.  The challenge to measure cell proliferation in two and three dimensions.

Authors:  Kee W Ng; David T W Leong; Dietmar W Hutmacher
Journal:  Tissue Eng       Date:  2005 Jan-Feb

3.  Cancer. p53, guardian of the genome.

Authors:  D P Lane
Journal:  Nature       Date:  1992-07-02       Impact factor: 49.962

4.  A multicolor panel of novel lentiviral "gene ontology" (LeGO) vectors for functional gene analysis.

Authors:  Kristoffer Weber; Udo Bartsch; Carol Stocking; Boris Fehse
Journal:  Mol Ther       Date:  2008-02-12       Impact factor: 11.454

5.  The relative mRNA expression of p53 isoforms in breast cancer is associated with clinical features and outcome.

Authors:  Kelly A Avery-Kiejda; Brianna Morten; Michelle W Wong-Brown; Andrea Mathe; Rodney J Scott
Journal:  Carcinogenesis       Date:  2013-12-11       Impact factor: 4.944

6.  p53 isoforms can regulate p53 transcriptional activity.

Authors:  Jean-Christophe Bourdon; Kenneth Fernandes; Fiona Murray-Zmijewski; Geng Liu; Alexandra Diot; Dimitris P Xirodimas; Mark K Saville; David P Lane
Journal:  Genes Dev       Date:  2005-08-30       Impact factor: 11.361

Review 7.  TP53 mutations in human cancers: origins, consequences, and clinical use.

Authors:  Magali Olivier; Monica Hollstein; Pierre Hainaut
Journal:  Cold Spring Harb Perspect Biol       Date:  2010-01       Impact factor: 10.005

8.  The clinical value of somatic TP53 gene mutations in 1,794 patients with breast cancer.

Authors:  Magali Olivier; Anita Langerød; Patrizia Carrieri; Jonas Bergh; Sigrid Klaar; Jorunn Eyfjord; Charles Theillet; Carmen Rodriguez; Rosette Lidereau; Ivan Bièche; Jennifer Varley; Yves Bignon; Nancy Uhrhammer; Robert Winqvist; Arja Jukkola-Vuorinen; Dieter Niederacher; Shunsuke Kato; Chikashi Ishioka; Pierre Hainaut; Anne-Lise Børresen-Dale
Journal:  Clin Cancer Res       Date:  2006-02-15       Impact factor: 12.531

9.  Small molecular weight variants of p53 are expressed in human melanoma cells and are induced by the DNA-damaging agent cisplatin.

Authors:  Kelly A Avery-Kiejda; Xu Dong Zhang; Luke J Adams; Rodney J Scott; Borivoj Vojtesek; David P Lane; Peter Hersey
Journal:  Clin Cancer Res       Date:  2008-02-29       Impact factor: 12.531

10.  Discrepancies between metabolic activity and DNA content as tool to assess cell proliferation in cancer research.

Authors:  Verena M C Quent; Daniela Loessner; Thor Friis; Johannes C Reichert; Dietmar W Hutmacher
Journal:  J Cell Mol Med       Date:  2010-01-15       Impact factor: 5.310

  10 in total
  4 in total

1.  Long-term Live-cell Imaging to Assess Cell Fate in Response to Paclitaxel.

Authors:  Amanda F Bolgioni; Marc A Vittoria; Neil J Ganem
Journal:  J Vis Exp       Date:  2018-05-14       Impact factor: 1.355

2.  Pre-Conditioning the Airways of Mice with Bleomycin Increases the Efficiency of Orthotopic Lung Cancer Cell Engraftment.

Authors:  Laura E Stevens; Anna Arnal-Estapé; Don X Nguyen
Journal:  J Vis Exp       Date:  2018-06-28       Impact factor: 1.355

3.  Potential Role of Rainbow Trout Erythrocytes as Mediators in the Immune Response Induced by a DNA Vaccine in Fish.

Authors:  Sara Puente-Marin; Ivan Nombela; Veronica Chico; Sergio Ciordia; Maria Carmen Mena; Luis Garcia Perez; Julio Coll; Maria Del Mar Ortega-Villaizan
Journal:  Vaccines (Basel)       Date:  2019-07-03

4.  Effects of Sevoflurane on Lewis Lung Carcinoma Cell Proliferation In Vivo and In Vitro.

Authors:  Yeojung Kim; Sangwon Yun; Keun-A Shin; Woosuk Chung; Youngkwon Ko; Yoon-Hee Kim; Chaeseong Lim
Journal:  Medicina (Kaunas)       Date:  2021-01-07       Impact factor: 2.430

  4 in total

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