Mark T. Duncan, Seungjin Shin, and Jia J. Wu contributed equally to this study.
Dynamic transcription factor activity profiles reveal key regulatory interactions during megakaryocytic and erythroid differentiation
Version of Record online: 14 JUL 2014
© 2014 Wiley Periodicals, Inc.
Biotechnology and Bioengineering
Volume 111, Issue 10, pages 2082–2094, October 2014
How to Cite
Duncan, M. T., Shin, S., Wu, J. J., Mays, Z., Weng, S., Bagheri, N., Miller, W. M. and Shea, L. D. (2014), Dynamic transcription factor activity profiles reveal key regulatory interactions during megakaryocytic and erythroid differentiation. Biotechnol. Bioeng., 111: 2082–2094. doi: 10.1002/bit.25262
- Issue online: 25 AUG 2014
- Version of Record online: 14 JUL 2014
- Accepted manuscript online: 22 MAY 2014 04:24PM EST
- Manuscript Accepted: 31 MAR 2014
- Manuscript Revised: 23 FEB 2014
- Manuscript Received: 31 OCT 2013
- U.S. National Science Foundation (NSF). Grant Numbers: CBET-0853603, DGE-1007911
- National Institutes of Health (NIH). Grant Numbers: NCI 5U54CA143869-05, P50GM081892, R01GM097220
- NIH Predoctoral Biotechnology Training. Grant Number: T32GM008449
Additional Supporting Information may be found in the online version of this article.
|bit25262-sm-0001-SuppFig-S1.tif||63K||Figure S1. Linear regression comparison of TF arrays within and between experiments.|
|bit25262-sm-0001-SuppFig-S2.tif||317K||Figure S2. Dynamic TF regulatory network of GATA-1-downregulated K562 cells during E and MK differentiation.|
Table I. P-values of inferred edges of K562 cells during MK or E differentiation (Fig. 2B) found using the permutation test.
Table II. P-values of inferred edges of CHRF cells during MK maturation with PMA and PMA plus NIC (Fig. 7C) found using the permutation test.
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