Bandyopadhyay S, Mitra R, Maulik U, Zhang MQ. (2010) “Development of the human micorRNA network.” Silence 1(1):6. 2010 - Publication
“Comparison of sequencing-based methods to profile DNA methylation and identification of monoallelic epigenetic modifications ” Nat Biotechnol. 2010 Sep 19 [Epub ahead of print]PMID: 20852635 [PubMed - as supplied by publisher] . 2010 - Publication
Niida A, Smith AD, Imoto S, Tsutsumi S, Aburatani H, Zhang MQ, Akiyama T (2009) Gene set-based module discovery in the breast cancer transcriptome BMC Bioinformatics, 10:71 2009 - Publication
Yair B, Kikuchi H, Smith AD, Zhang MQ, Chung, DC, Xavier RJ. (2009) An integrative genomics approach identifies Hyposix Inducible Factor-1 (HIF-1) target genes that form the core response to hypoxia. Nucleic Acids Res, 37:4587-602. 2009 - Publication
Kim Y-C, Wu Q, Chen J, Xuan X, Jung Y-C, Zhang, MQ, Rowley J, Wang SM. (2009) The transcriptome of human CD34+ hematopoietic stem-progenitor cells. PNAS.106:8278-83. 2009 - Publication
Hodges E*, Smith AD*, Kendall J, Xuan Z, Ravi K, Rooks M, Zhang MQ, Ye K, Bhattacharjee A, Brizuela L, McCombie WR, Wigler M, Hannon GJ, Hicks J (2009) High definition profiling of mammalian DNA methylation by array capture and single molecule bisulfite sequencing. Genome Res. Aug 5. [Epub ahead of print]. 2009 - Publication
Watts JA, Zhang C, Kormish JD, Zhang MQ, Zaret K, (2009) Cryptic pathway of genetic regulation of Cdx2 revealed by genome location analysis of FoxA2 at silent genes. Submitted. 2009 - Publication
Niida A, Smith AD, Imoto S, Tsutsumi S, Aburatani H, Zhang MQ, Akiyama T (2008) Integrative bioinformatics analysis of transcriptional regulatory programs in breast cancer cells. Bioinformatics, 9:404. 2008 - Publication
Chen G, Li W, Zhang Q-S, Regulski M, Sinha N, Barditch J, Tully T, Krainer AR, Zhang MQ, Dubnau J (2008) Identification of synaptic targets of Drosophila Pumilio. PLoS Comp Biol. (joint corresponding authors). 4(2)e1000026. 2008 - Publication
Zhang C, Zhang Z, Castle J, Sun S, Johnson J, Krainer AR, Zhang MQ (2008) Defining the regulatory network of the tissue-specific splicing factors Fox-1 and Fox-2. Genes Dev. 22:2550-63. Erratum in: Genes Dev. 22:2902. 2008 - Publication
Researchers from the School of Natural Sciences and Mathematics
at The University of Texas at Dallas have teamed with colleagues at the UT Southwestern Children’s Medical Center Research Institute
to create a new method for understanding the causes of genetic diseases, such as sickle cell anemia and some cancers.
The new system allows researchers to define the molecular structures that control the activity of regulatory DNA sequences in the human genome. Dr. Michael Q. Zhang
and postdoctoral researcher Dr. Yong Chen from Zhang’s Computational Biology Laboratory
— along with assistant professor of biological sciences Dr. Zhenyu Xuan
— collaborated on the formulation of the system called CAPTURE, or CRISPR Affinity Purification in situ of Regulatory Elements. Their work was published in a recent issue of the journal Cell.
Doctoral student Peng Xie came to The University of Texas at Dallas primarily to follow his mentor, Dr. Michael Q. Zhang
, and his passion, computational biology.
In the three years he has been on campus, Xie has exemplified the multitude of reasons that promising graduate students come to UT Dallas — opportunity, support and career advancement.
Xie is a member of the first cohort of the Eugene McDermott Graduate Fellows Program
. In addition to a stipend, tuition and fees, and a research budget, the McDermott fellowship provides professional development and enrichment opportunities.
Dr. Michael Zhang, a leading scientist in computational biology and genomic research, has joined UT Dallas as professor and Cecil H. and Ida Green Distinguished Chair of Systems Biology Science. Zhang’s chaired position in the School of Natural Sciences and Mathematics begins establishment of a new Center for Systems Biology. “In attracting a researcher of the stature of Dr. Zhang to our faculty, we expect to nucleate a major effort in genomics and computational biology that focuses on the genetic underpinnings of disease,” said Myron Salamon, dean of the School of Natural Sciences and Mathematics. Computational biology bridges the life sciences and quantitative sciences – mathematics, statistics and computer science – to understand living systems.