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Studying Gene Expression System Regulation at the Program Level

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  • Mark D Alter

Abstract

Understanding how gene expression systems influence biological outcomes is an important goal for diverse areas of research. Gene expression profiling allows for the simultaneous measurement of expression levels for thousands of genes and the opportunity to use this information to increase biological understanding. Yet, the best way to relate this immense amount of information to biological outcomes is far from clear. Here, a novel approach to gene expression systems research is presented that focuses on understanding gene expression systems at the level of gene expression program regulation. It is suggested that such an approach has important advantages over current techniques and may provide novel insights into how gene expression systems are regulated to shape biological outcomes such as the development of disease or response to treatment.

Suggested Citation

  • Mark D Alter, 2013. "Studying Gene Expression System Regulation at the Program Level," PLOS ONE, Public Library of Science, vol. 8(4), pages 1-8, April.
    • Handle: RePEc:plo:pone00:0061324
    DOI: 10.1371/journal.pone.0061324
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    References listed on IDEAS

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    1. Eric H. Davidson, 2010. "Emerging properties of animal gene regulatory networks," Nature, Nature, vol. 468(7326), pages 911-920, December.
    2. Michael J Gandal & Addie May Nesbitt & Richard M McCurdy & Mark D Alter, 2012. "Measuring the Maturity of the Fast-Spiking Interneuron Transcriptional Program in Autism, Schizophrenia, and Bipolar Disorder," PLOS ONE, Public Library of Science, vol. 7(8), pages 1-8, August.
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    Cited by:

    1. Benjamin A Samuels & E David Leonardo & Alex Dranovsky & Amanda Williams & Erik Wong & Addie May I Nesbitt & Richard D McCurdy & Rene Hen & Mark Alter, 2014. "Global State Measures of the Dentate Gyrus Gene Expression System Predict Antidepressant-Sensitive Behaviors," PLOS ONE, Public Library of Science, vol. 9(1), pages 1-10, January.

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