Our lab aims to understand the systemic network governed by epigenetic factors in immune cells and their function in chronic inflammatory diseases, including obesity induced metabolic syndromes and cardiovascular diseases.
Incorporating animal models with OMICs-technologies, my laboratory has reported the first microRNA, miR-223, that can modulation adipose tissue macrophage polarized activation and their contribution to obesity associated inflammation and insulin resistance (Circulation, Editorial 2012; JCI, 2015). After our first report on miR-150 potent regulation on hematopoietic stem cell differentiation to B lineages (PNAS, 2007), we further elucidated the key roles of this microRNA in MLL-leukemia (Mol. Cancer Res, 2013, leading Highlights by Editors), prediabetic retinal dysfunction (2015), obesity induced insulin resistance (Sci. Reports, 2016). Furthermore, our new platform, MacSpectrum, developed from single-cell sequencing profiles and original algorithms has attracted researchers in the field for it revolutionary concept to capture multifaceted macrophage action in vivo under complex physiological and disease conditions. The new development also fostered our exploration to obesity’s impact on cardiovascular diseases (JCI Insight, 2019).
We are glad to be part of an important study of fatty liver using single-cell seq with Dr. Jiandie Lin's team at U Michigan.
Landscape of Intercellular Crosstalk in Healthy and NASH Liver Revealed by Single-Cell Secretome Gene Analysis. Mol Cell. 2019 Aug 8;75(3):644-660.e5
Chuan's presentation at ATVB 2019 received top score and was invited by AHA Scientific Sessions 2019 for re-presentation in Nov, 2019 at Phili.
Congratulations to the acceptance of our new publication, "Single cell transcriptomics based-MacSpectrum reveals novel macrophage activation signatures in diseases," by JCI Insight!
Congratulations to Chuan Li and Lili Qu to present at ATVB 2019, Boston MA
Chuan also won the competitive Travel Award for Young Scientists (ATVB 2019). Bravo!
MacSpectrum is a macrophage annotation system that allows comprehensive analysis of heterogeneous subpopulations and their multifaceted activation states under various in vitro and in vivo conditions, including the identification of condition-specific signature genes. Each subpopulation identified by MacSpectrum can be further analyzed for cell function and intracellular signaling networks in conjunction with other programs, such as Ingenuity Pathway Analysis by Qiagen, NIH DAVID, and others.
Step-by-step instructions are included.
Other functions, including query for gene expression pattern in the existing transcriptome profiles, will be provided in the coming versions. For specific questions, please contact us.
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