Identification of Post-Transcriptional Modulators of Breast Cancer Transcription Factor Activity Using MINDy.

We have recently identified transcription factors (TFs) that are key drivers of breast cancer risk. To better understand the pathways or sub-networks in which these TFs mediate their function we sought to identify upstream modulators of their activity. We applied the MINDy (Modulator Inference by Ne...

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Main Authors: Thomas M Campbell, Mauro A A Castro, Bruce A J Ponder, Kerstin B Meyer
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2016-01-01
Series:PLoS ONE
Online Access:https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0168770&type=printable
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author Thomas M Campbell
Mauro A A Castro
Bruce A J Ponder
Kerstin B Meyer
author_facet Thomas M Campbell
Mauro A A Castro
Bruce A J Ponder
Kerstin B Meyer
author_sort Thomas M Campbell
collection DOAJ
description We have recently identified transcription factors (TFs) that are key drivers of breast cancer risk. To better understand the pathways or sub-networks in which these TFs mediate their function we sought to identify upstream modulators of their activity. We applied the MINDy (Modulator Inference by Network Dynamics) algorithm to four TFs (ESR1, FOXA1, GATA3 and SPDEF) that are key drivers of estrogen receptor-positive (ER+) breast cancer risk, as well as cancer progression. Our computational analysis identified over 500 potential modulators. We assayed 189 of these and identified 55 genes with functional characteristics that were consistent with a role as TF modulators. In the future, the identified modulators may be tested as potential therapeutic targets, able to alter the activity of TFs that are critical in the development of breast cancer.
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institution Kabale University
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series PLoS ONE
spelling doaj-art-94de4758fde2418883519ba4c5862f0f2025-08-20T03:26:10ZengPublic Library of Science (PLoS)PLoS ONE1932-62032016-01-011112e016877010.1371/journal.pone.0168770Identification of Post-Transcriptional Modulators of Breast Cancer Transcription Factor Activity Using MINDy.Thomas M CampbellMauro A A CastroBruce A J PonderKerstin B MeyerWe have recently identified transcription factors (TFs) that are key drivers of breast cancer risk. To better understand the pathways or sub-networks in which these TFs mediate their function we sought to identify upstream modulators of their activity. We applied the MINDy (Modulator Inference by Network Dynamics) algorithm to four TFs (ESR1, FOXA1, GATA3 and SPDEF) that are key drivers of estrogen receptor-positive (ER+) breast cancer risk, as well as cancer progression. Our computational analysis identified over 500 potential modulators. We assayed 189 of these and identified 55 genes with functional characteristics that were consistent with a role as TF modulators. In the future, the identified modulators may be tested as potential therapeutic targets, able to alter the activity of TFs that are critical in the development of breast cancer.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0168770&type=printable
spellingShingle Thomas M Campbell
Mauro A A Castro
Bruce A J Ponder
Kerstin B Meyer
Identification of Post-Transcriptional Modulators of Breast Cancer Transcription Factor Activity Using MINDy.
PLoS ONE
title Identification of Post-Transcriptional Modulators of Breast Cancer Transcription Factor Activity Using MINDy.
title_full Identification of Post-Transcriptional Modulators of Breast Cancer Transcription Factor Activity Using MINDy.
title_fullStr Identification of Post-Transcriptional Modulators of Breast Cancer Transcription Factor Activity Using MINDy.
title_full_unstemmed Identification of Post-Transcriptional Modulators of Breast Cancer Transcription Factor Activity Using MINDy.
title_short Identification of Post-Transcriptional Modulators of Breast Cancer Transcription Factor Activity Using MINDy.
title_sort identification of post transcriptional modulators of breast cancer transcription factor activity using mindy
url https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0168770&type=printable
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