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Related Concept Videos

Cell Lines01:16

Cell Lines

A cell line is a population of cells grown in vitro that can be subcultured over several generations. Normal cells cease to divide after a certain number of cell divisions, a process known as replicative senescence. This number, called the Hayflick limit, was conceptualized by Leonard Hayflick in 1961 when he observed that fetal cells grown in culture could only divide 40-60 times. This limit is due to the shortening of the telomeres during each round of cell division, preventing cell division...

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Related Experiment Video

Updated: Jul 7, 2026

Implementation of In Vitro Drug Resistance Assays: Maximizing the Potential for Uncovering Clinically Relevant Resistance Mechanisms
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Implementation of In Vitro Drug Resistance Assays: Maximizing the Potential for Uncovering Clinically Relevant Resistance Mechanisms

Published on: December 9, 2015

Gene expression patterns within cell lines are predictive of chemosensitivity.

Brian Z Ring1, Stella Chang, L Winston Ring

  • 1Applied Genomics Inc,, Burlingame, CA, 94010, USA. bzring@applied-genomics.com

BMC Genomics
|February 12, 2008
PubMed
Summary
This summary is machine-generated.

This study links gene expression patterns in tumor cell lines to compound sensitivity. High correlations suggest potential biomarkers for targeted cancer therapies.

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An Organotypic High Throughput System for Characterization of Drug Sensitivity of Primary Multiple Myeloma Cells
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Last Updated: Jul 7, 2026

Implementation of In Vitro Drug Resistance Assays: Maximizing the Potential for Uncovering Clinically Relevant Resistance Mechanisms
08:46

Implementation of In Vitro Drug Resistance Assays: Maximizing the Potential for Uncovering Clinically Relevant Resistance Mechanisms

Published on: December 9, 2015

An Organotypic High Throughput System for Characterization of Drug Sensitivity of Primary Multiple Myeloma Cells
09:41

An Organotypic High Throughput System for Characterization of Drug Sensitivity of Primary Multiple Myeloma Cells

Published on: July 15, 2015

Area of Science:

  • Genomics
  • Pharmacology
  • Cancer Research

Background:

  • The National Cancer Institute (NCI) initiated a long-term project to analyze compound sensitivity in 60 tumor cell lines.
  • Prior research investigated links between compound sensitivity and molecular data (gene expression, protein, DNA copy number).
  • Identifying strong correlations between biomarker expression and drug sensitivity can reveal significant biological relationships.

Purpose of the Study:

  • To establish a reliable method for correlating gene expression with compound sensitivity in cancer cell lines.
  • To identify potential biomarkers and targeted compounds for cancer therapy.

Main Methods:

  • RNA isolation and gene expression profiling of 59 tumor cell lines using cDNA microarrays (40,000 genes).
  • Validation of expression data reproducibility across independent experiments and technologies.
  • Statistical analysis to correlate gene expression patterns with compound sensitivity data, using a test set of 7 additional cell lines.

Main Results:

  • High reproducibility of gene expression measurements was confirmed.
  • Gene-compound pairs with a correlation coefficient > 0.6 showed a low false discovery rate (~5%).
  • Broad biological factors like tissue origin did not explain most observed gene-compound correlations.

Conclusions:

  • Correlating gene expression with compound sensitivity in cell line panels is a validated approach.
  • This method demonstrates a low false discovery rate, supporting its use for biomarker and drug discovery.
  • The findings support the utility of these datasets for identifying novel therapeutic targets and compounds.