Jiaqian Wu, Ph.D
Department of Neurosurgery
Center for Stem Cell and Regenerative Medicine
Dr. Jiaqian Wu is an assistant professor in the Vivian L. Smith Department of Neurosurgery and Center for Stem Cell and Regenerative Medicine at the University of Texas Medical School at Houston. Dr. Wu earned her doctorate in molecular and human genetics at Baylor College of Medicine in Houston, where her research focused on novel mammalian gene discovery and the characterization of transcriptome complexity. Her postdoctoral work at Yale and Stanford University focused on high-throughput analysis of gene expression, transcription factor binding site identification, and regulatory networks of stem cell self-renewal and differentiation. Dr. Wu’s work has been recognized with prestigious honors and awards, including the National Institutes of Health Ruth L. Kirschstein National Research Service Award for Individual Postdoctoral Fellows, and the International Society for Stem Cell Research (ISSCR) Annual Meeting Travel Award, the National Institute of Health Pathway to Independence (PI) Award (K99/R00), R01 and the Senator Lloyd and B.A. Bentsen Investigator Award. A reviewer for NIH, MRC, ANR, the journals Nucleic Acids Research, Genome Research, and Genome Biology, Dr. Wu has presented invited talks and lectures on stem cell biology, functional genomics, and proteomics at international conferences, the Multiple Sclerosis Research Center of New York, Lawrence Livermore National Laboratory, and the University of Florida, etc. She has developed a patent, authored two books, and wrote many articles that have appeared in PNAS, the Journal of Neuroscience, Genome Biology, Plos Genetics, Genome Research, and Nature, among others.
General Research Interests
Wu laboratory combines stem cell biology and systems-based approaches involving genomics, proteomics, bioinformatics and functional assays to unravel gene transcription and regulatory mechanisms governing stem cell differentiation. One major focus of our group is investigating stem cell neural differentiation and developing effective and safe treatment for spinal cord injury and neurological diseases. We are studying gene expression and the regulation of transcription factors and regulatory RNAs using next-generation sequencing technologies including RNA-Seq and ChIP-Seq. These studies are crucial in understanding the molecular mechanism of stem cell neural differentiation and its clinical implications. Our goal is to identify and modulate key regulators as therapeutic targets to direct the differentiation of stem cell into desired neural cell types more efficiently, and to increase transplantation safety.
The other area of our research interest lies in the studies of the regulatory networks of hematopoietic precursor cell self-renewal and differentiation using multipotent EML (erythroid, myeloid, and lymphocytic) cell as a model system. We are using integrated genomic and proteomic approaches to identify key components that control the switch. We have identified TCF7, together with RUNX1 are important regulators in this process. Future study will generate a global interaction network and a novel and comprehensive view of the regulation of early stages of hematopoietic precursor self-renewal and differentiation. This study can serve as a model for the analysis of cell self-renewal and differentiation in general and provide insight for efficient expanding and manipulating hematopoietic precursor and stem cells, including reprogramming partially differentiated cells to return them to a self-renewing state.
- Investigate gene expression and regulatory mechanisms during stem cell differentiation
- Characterize molecular signatures and identify therapeutic targets for spinal cord injury and neurological diseases
- Pinpoint key transcription factors and regulatory RNAs, and modulate key regulators to steer the direction of stem cell differentiation and improve efficiency
- Determine the molecular switch of hematopoietic precursor cell self-renewal and differentiation
- Network analysis of stem cell differentiation and global network integration of multiple types of omic data
Complete List of Published Work in My Bibliography:
Wu Lab Research News: