Education and Training
PhD in Biomedical Informatics - University of North Carolina at Chapel Hill, Chapel Hill, NC
MS in Cell and Molecular Biology - Texas Tech University, Lubbock, TX
Titles and Academic Titles
Principal Bioinformatics Scientist
Departments and Services
Integrative analysis and clinical applications of different types of genomic data
Zhang Z, Shi L, Song L, Maurer K, Petri MA, Sullivan KE. Overall Downregulation of mRNAs and Enrichment of H3K4me3 Change Near Genome-Wide Association Study Signals in Systemic Lupus Erythematosus: Cell-Specific Effects. Frontiers in immunology. 2018. PMID: 29593737
*Zhang Z, Zhang Y, Evans P, Chinwalla A, Taylor D. RNA-Seq 2G: online analysis of differential gene expression with comprehensive options of statistical methods. bioRxiv Preprint. 2017. doi: https://doi.org/10.1101/122747. (* Corresponding author)
*Zhang Z, Shi L, Dawany N, Kelsen J, Petri MA, Sullivan KE. H3K4 tri-methylation breadth at transcription start sites impacts the transcriptome of systemic lupus erythematosus. Clinical epigenetics. 2016. PMID: 26839600. (* Corresponding author)
Chapman KA, Bush WS, Zhang Z. Gene expression in cell lines from propionic acidemia patients, carrier parents, and controls. Molecular genetics and metabolism. 2015. PMID:25963861.
Izumi K, Nakato R, Zhang Z, et.al. Germline gain-of-function mutations in AFF4 cause a developmental syndrome functionally linking the super elongation complex and cohesin. Nature genetics. 2015PMID: 25730767.
Zhang Z, Shi L, Song L, et.al. Interferon regulatory factor 1 marks activated genes and can induce target gene expression in systemic lupus erythematosus. Arthritis & rheumatology. 2015. PMID: 25418955.
Zhang Z, Hailat Z, Falk MJ, Chen XW. Integrative analysis of independent transcriptome data for rare diseases. Methods. 2014. PMID: 24981076.
Zhang Z, Falk MJ. Integrated transcriptome analysis across mitochondrial disease etiologies and tissues improves understanding of common cellular adaptations to respiratory chain dysfunction. The international journal of biochemistry & cell biology. 2014. PMID: 24569120.
Zhang Z, Tsukikawa M, Peng M, et.al. Primary respiratory chain disease causes tissue-specific dysregulation of the global transcriptome and nutrient-sensing signaling network. PloS one. 2013. PMID: 23894440.
*Zhang Z, Leipzig J, Sasson A, et.al. Efficient digest of high-throughput sequencing data in a reproducible report. BMC bioinformatics. 2013. PMID: 24564231. (* Corresponding author)
*Zhang Z, Liu J, Kaur M, Krantz ID. Characterization of DNA methylation and its association with other biological systems in lymphoblastoid cell lines. Genomics. 2012. PMID: 22269447. (* Corresponding author)
Zhang Z, Song L, Maurer K, Bagashev A, Sullivan KE. Monocyte polarization: the relationship of genome-wide changes in H4 acetylation with polarization. Genes and immunity. 2011. PMID: 21451557.
Liu J, Zhang Z, Bando M, et.al. Genome-wide DNA methylation analysis in cohesin mutant human cell lines. Nucleic acids research. 2010. PMID: 20448023.
Zhang Z, Song L, Maurer K, Petri MA, Sullivan KE. Global H4 acetylation analysis by ChIP-chip in systemic lupus erythematosus monocytes. Genes and immunity. 2010. PMID: 19710693.
Zhang Z, Gasser DL, Rappaport EF, Falk MJ. Cross-platform expression microarray performance in a mouse model of mitochondrial disease therapy. Molecular genetics and metabolism. 2010. PMID: 19944634.
Zhang Z, Maurer K, Perin JC, Song L, Sullivan KE. Cytokine-induced monocyte characteristics in SLE. Journal of biomedicine & biotechnology. 2010. PMID: 20625490.
Liu J, Zhang Z, Bando M, et.al. Transcriptional dysregulation in NIPBL and cohesin mutant human cells. PloS biology. 2009. PMID: 19468298.
Zhang Z, Chen D, Fenstermacher DA. Integrated analysis of independent gene expression microarray datasets improves the predictability of breast cancer outcome. BMC genomics. 2007. PMID: 17883867.
Patient Experience Ratings
About the Patient Experience Rating System
The Patient Experience Rating is an average of all responses to the care provider related questions shown above from our nationally-recognized Press Ganey Patient Satisfaction Survey. Patients that are treated in outpatient or hospital environments may receive different surveys, and the volume of responses will vary by question.
Responses are measured on a scale of 1 to 5 with 5 being the best score.
We are committed to true transparency. However, to ensure the comments are fair and correctly attributed, we review each one before posting to the website. We exclude entire comments that disclose patient's protected health information, are off-topic, or include other confidential or inappropriate content. Comments will appear on provider bios only if providers have a minimum number of comments.
Comments are shared internally for education purposes to ensure that we are doing our very best for the patients and families for whom we are privileged to care.
The comments are submitted by patients and families and reflect their views and opinions. The comments are not endorsed by and do not reflect the views of Children’s Hospital of Philadelphia.