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      A strategy for the Identification of Paracrine Regulators of Cancer Cell Migration

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          Abstract

          We hypothesized that the correlation of the whole transcriptome with quantifiable phenotypes may unveil genes contributing to the regulation of the corresponding response. We tested this hypothesis in cultured fibroblasts exposed to diverse pharmacological and biological agents, to identify genes influencing chemoattraction of breast cancer cells. Our analyses revealed several genes that correlated, either positively or negatively with cell migration, suggesting that they may operate as activators or inhibitors of this process. Survey of the scientific literature showed that genes exhibiting positive or negative association with cell migration had frequently been linked to cancer and metastasis before, while those with minimal association were not. The current methodology may formulate the basis for the development of novel strategies linking genes to quantifiable phenotypes.

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          Author and article information

          Journal
          0425076
          3003
          Clin Exp Pharmacol Physiol
          Clin Exp Pharmacol Physiol
          Clinical and experimental pharmacology & physiology
          0305-1870
          1440-1681
          2 March 2021
          October 2020
          01 April 2021
          : 47
          : 10
          : 1758-1763
          Affiliations
          [1, ]Department of Drug Discovery and Biomedical Sciences, College of Pharmacy, University of South Carolina, SC, USA
          [2, ]Department of Pathology, Microbiology and Immunology, School of Medicine, University of South Carolina, SC, USA
          [3, ]Peromyscus Genetic Stock Center, University of South Carolina, SC, USA
          Author notes
          Correspondence: H. Kiaris, kiarish@ 123456cop.sc.edu
          Article
          PMC7970540 PMC7970540 7970540 nihpa1676932
          10.1111/1440-1681.13366
          7970540
          32585033
          d1a4b42a-92c4-4cb1-b0b6-30e0040ea1d2
          History
          Categories
          Article

          Transcriptional reprogramming,metastasis,cancer,expression correlation

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