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Wang, Gang

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Wang

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Gang

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Wang, Gang

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2009 - 200912010 - 20131

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Author's Publications: search.filters.isAuthorOfPublication.ddccfb78-d022-4f9c-9cd9-8895d1bcd973

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    A simple method for deriving functional MSCs and applied for osteogenesis in 3D scaffolds
    (Nature Publishing Group, 2013) Zou, Lijin; Luo, Yonglun; Chen, Muwan; Wang, Gang; Ding, Ming; Petersen, Charlotte Christie; Kang, Ran; Dagnaes-Hansen, Frederik; Zeng, Yuanlin; Lv, Nonghua; Ma, Qing; Le, Dang Q. S.; Besenbacher, Flemming; Bolund, Lars; Jensen, Thomas G.; Kjems, Jørgen; Pu, William; Bünger, Cody
    We describe a simple method for bone engineering using biodegradable scaffolds with mesenchymal stem cells derived from human induced-pluripotent stem cells (hiPS-MSCs). The hiPS-MSCs expressed mesenchymal markers (CD90, CD73, and CD105), possessed multipotency characterized by tri-lineages differentiation: osteogenic, adipogenic, and chondrogenic, and lost pluripotency – as seen with the loss of markers OCT3/4 and TRA-1-81 – and tumorigenicity. However, these iPS-MSCs are still positive for marker NANOG. We further explored the osteogenic potential of the hiPS-MSCs in synthetic polymer polycaprolactone (PCL) scaffolds or PCL scaffolds functionalized with natural polymer hyaluronan and ceramic TCP (PHT) both in vitro and in vivo. Our results showed that these iPS-MSCs are functionally compatible with the two 3D scaffolds tested and formed typically calcified structure in the scaffolds. Overall, our results suggest the iPS-MSCs derived by this simple method retain fully osteogenic function and provide a new solution towards personalized orthopedic therapy in the future.
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    A Comparison of RNA Amplification Techniques at Sub-Nanogram Input Concentration
    (BioMed Central, 2009) Lang, Julie E; Magbanua, Mark Jesus M; Scott, Janet H; Makrigiorgos, Gerassimos; Wang, Gang; Federman, Scot; Esserman, Laura J; Park, John W.; Haqq, Christopher M
    Background: Gene expression profiling of small numbers of cells requires high-fidelity amplification of sub-nanogram amounts of RNA. Several methods for RNA amplification are available; however, there has been little consideration of the accuracy of these methods when working with very low-input quantities of RNA as is often required with rare clinical samples. Starting with 250 picograms-3.3 nanograms of total RNA, we compared two linear amplification methods 1) modified T7 and 2) Arcturus RiboAmp HS and a logarithmic amplification, 3) Balanced PCR. Microarray data from each amplification method were validated against quantitative real-time PCR (QPCR) for 37 genes. Results: For high intensity spots, mean Pearson correlations were quite acceptable for both total RNA and low-input quantities amplified with each of the 3 methods. Microarray filtering and data processing has an important effect on the correlation coefficient results generated by each method. Arrays derived from total RNA had higher Pearson's correlations than did arrays derived from amplified RNA when considering the entire unprocessed dataset, however, when considering a gene set of high signal intensity, the amplified arrays had superior correlation coefficients than did the total RNA arrays. Conclusion: Gene expression arrays can be obtained with sub-nanogram input of total RNA. High intensity spots showed better correlation on array-array analysis than did unfiltered data, however, QPCR validated the accuracy of gene expression array profiling from low-input quantities of RNA with all 3 amplification techniques. RNA amplification and expression analysis at the sub-nanogram input level is both feasible and accurate if data processing is used to focus attention to high intensity genes for microarrays or if QPCR is used as a gold standard for validation.