Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Douglas C. Wu is active.

Publication


Featured researches published by Douglas C. Wu.


Nature Communications | 2012

Dynamic force-induced direct dissociation of protein complexes in a nuclear body in living cells

Yeh Chuin Poh; Sergey P. Shevtsov; Farhan Chowdhury; Douglas C. Wu; Sungsoo Na; Miroslav Dundr; Ning Wang

Despite past progress in understanding mechanisms of cellular mechanotransduction, it is unclear whether a local surface force can directly alter nuclear functions without intermediate biochemical cascades. Here we show that a local dynamic force via integrins results in direct displacements of coilin and SMN proteins in Cajal bodies and direct dissociation of coilin-SMN associated complexes. Spontaneous movements of coilin increase more than those of SMN in the same Cajal body after dynamic force application. Fluorescence resonance energy transfer changes of coilin-SMN depend on force magnitude, an intact F-actin, cytoskeletal tension, Lamin A/C, or substrate rigidity. Other protein pairs in Cajal bodies exhibit different magnitudes of fluorescence resonance energy transfer. Dynamic cyclic force induces tiny phase lags between various protein pairs in Cajal bodies, suggesting viscoelastic interactions between them. These findings demonstrate that dynamic force-induced direct structural changes of protein complexes in Cajal bodies may represent a unique mechanism of mechanotransduction that impacts on nuclear functions involved in gene expression.


Nature Communications | 2014

Matrix softness regulates plasticity of tumour-repopulating cells via H3K9 demethylation and Sox2 expression

Youhua Tan; Arash Tajik; Junwei Chen; Qiong Jia; Farhan Chowdhury; L. Wang; Shuang Zhang; Hong Y; Yi H; Douglas C. Wu; Yuejin Zhang; Fuxiang Wei; Yeh-Chuin Poh; Jihye Seong; Rishi Singh; Li-Jung Lin; Sultan Doğanay; Yuhang Li; Haibo Jia; Taekjip Ha; Yunpeng Wang; Bo Huang; Ning Wang

Tumour-repopulating cells (TRCs) are a self-renewing, tumorigenic subpopulation of cancer cells critical in cancer progression. However, the underlying mechanisms of how TRCs maintain their self-renewing capability remain elusive. Here we show that relatively undifferentiated melanoma TRCs exhibit plasticity in Cdc42-mediated mechanical stiffening, histone 3 lysine residue 9 (H3K9) methylation, Sox2 expression and self-renewal capability. In contrast to differentiated melanoma cells, TRCs have a low level of H3K9 methylation that is unresponsive to matrix stiffness or applied forces. Silencing H3K9 methyltransferase G9a or SUV39h1 elevates the self-renewal capability of differentiated melanoma cells in a Sox2-dependent manner. Mechanistically, H3K9 methylation at the Sox2 promoter region inhibits Sox2 expression that is essential in maintaining self-renewal and tumorigenicity of TRCs both in vitro and in vivo. Taken together, our data suggest that 3D soft-fibrin-matrix-mediated cell softening, H3K9 demethylation and Sox2 gene expression are essential in regulating TRC self-renewal.


Nature Communications | 2014

Generation of organized germ layers from a single mouse embryonic stem cell

Yeh Chuin Poh; Junwei Chen; Ying Hong; Haiying Yi; Shuang Zhang; Junjian Chen; Douglas C. Wu; Lili Wang; Qiong Jia; Rishi Singh; Wenting Yao; Youhua Tan; Arash Tajik; Tetsuya S. Tanaka; Ning Wang

Mammalian inner cell mass cells undergo lineage-specific differentiation into germ layers of endoderm, mesoderm and ectoderm during gastrulation. It has been a long-standing challenge in developmental biology to replicate these organized germ layer patterns in culture. Here we present a method of generating organized germ layers from a single mouse embryonic stem cell cultured in a soft fibrin matrix. Spatial organization of germ layers is regulated by cortical tension of the colony, matrix dimensionality and softness, and cell–cell adhesion. Remarkably, anchorage of the embryoid colony from the 3D matrix to collagen-1-coated 2D substrates of ~1 kPa results in self-organization of all three germ layers: ectoderm on the outside layer, mesoderm in the middle and endoderm at the centre of the colony, reminiscent of generalized gastrulating chordate embryos. These results suggest that mechanical forces via cell–matrix and cell–cell interactions are crucial in spatial organization of germ layers during mammalian gastrulation. This new in vitro method could be used to gain insights on the mechanisms responsible for the regulation of germ layer formation.


Biochemical and Biophysical Research Communications | 2011

Force via integrins but not E-cadherin decreases Oct3/4 expression in embryonic stem cells

Yuhei Uda; Yeh Chuin Poh; Farhan Chowdhury; Douglas C. Wu; Tetsuya S. Tanaka; Masaaki Sato; Ning Wang

Increasing evidence suggests that mechanical factors play a critical role in fate decisions of stem cells. Recently we have demonstrated that a local force applied via Arg-Gly-Asp (RGD) peptides coated magnetic beads to mouse embryonic stem (ES) cells increases cell spreading and cell stiffness and decreases Oct3/4 (Pou5f1) gene expression. However, it is not clear whether the effects of the applied stress on these functions of ES cells can be extended to natural extracellular matrix proteins or cell-cell adhesion molecules. Here we show that a local cyclic shear force applied via fibronectin or laminin to integrin receptors increased cell spreading and stiffness, downregulated Oct3/4 gene expression, and decreased cell proliferation rate. In contrast, the same cyclic force applied via cell-cell adhesion molecule E-cadherin (Cdh1) had no effects on cell spreading, Oct3/4 gene expression, and the self-renewal of mouse ES cells, but induced significant cell stiffening. Our findings demonstrate that biological responses of ES cells to force applied via integrins are different from those to force via E-cadherin, suggesting that mechanical forces might play different roles in different force transduction pathways to shape early embryogenesis.


RNA | 2016

High-throughput sequencing of human plasma RNA by using thermostable group II intron reverse transcriptases.

Yidan Qin; Jun Yao; Douglas C. Wu; Ryan M. Nottingham; Sabine Mohr; Scott Hunicke-Smith; Alan M. Lambowitz

Next-generation RNA-sequencing (RNA-seq) has revolutionized transcriptome profiling, gene expression analysis, and RNA-based diagnostics. Here, we developed a new RNA-seq method that exploits thermostable group II intron reverse transcriptases (TGIRTs) and used it to profile human plasma RNAs. TGIRTs have higher thermostability, processivity, and fidelity than conventional reverse transcriptases, plus a novel template-switching activity that can efficiently attach RNA-seq adapters to target RNA sequences without RNA ligation. The new TGIRT-seq method enabled construction of RNA-seq libraries from <1 ng of plasma RNA in <5 h. TGIRT-seq of RNA in 1-mL plasma samples from a healthy individual revealed RNA fragments mapping to a diverse population of protein-coding gene and long ncRNAs, which are enriched in intron and antisense sequences, as well as nearly all known classes of small ncRNAs, some of which have never before been seen in plasma. Surprisingly, many of the small ncRNA species were present as full-length transcripts, suggesting that they are protected from plasma RNases in ribonucleoprotein (RNP) complexes and/or exosomes. This TGIRT-seq method is readily adaptable for profiling of whole-cell, exosomal, and miRNAs, and for related procedures, such as HITS-CLIP and ribosome profiling.


PLOS ONE | 2014

Paramagnetic beads and magnetically mediated strain enhance cardiomyogenesis in mouse embryoid bodies.

Laura R. Geuss; Douglas C. Wu; Divya Ramamoorthy; Corinne D. Alford; Laura J. Suggs

Mechanical forces play an important role in proper embryologic development, and similarly such forces can directly impact pluripotency and differentiation of mouse embryonic stem cells (mESC) in vitro. In addition, manipulation of the embryoid body (EB) microenvironment, such as by incorporation of microspheres or microparticles, can similarly influence fate determination. In this study, we developed a mechanical stimulation regimen using permanent neodymium magnets to magnetically attract cells within an EB. Arginine-Glycine-Aspartic Acid (RGD)-conjugated paramagnetic beads were incorporated into the interior of the EBs during aggregation, allowing us to exert force on individual cells using short-term magnetization. EBs were stimulated for one hour at different magnetic field strengths, subsequently exerting a range of force intensity on the cells at different stages of early EB development. Our results demonstrated that following exposure to a 0.2 Tesla magnetic field, ESCs respond to magnetically mediated strain by activating Protein Kinase A (PKA) and increasing phosphorylated extracellular signal-regulated kinase 1/2 (pERK1/2) expression. The timing of stimulation can also be tailored to guide ESC differentiation: the combination of bone morphogenetic protein 4 (BMP4) supplementation with one hour of magnetic attraction on Day 3 enhances cardiomyogenesis by increasing contractile activity and the percentage of sarcomeric α-actin-expressing cells compared to control samples with BMP4 alone. Interestingly, we also observed that the beads alone had some impact on differentiation by increasingly slightly, albeit not significantly, the percentage of cardiomyocytes. Together these results suggest that magnetically mediated strain can be used to enhance the percentage of mouse ESC-derived cardiomyocytes over current differentiation protocols.


Scientific Reports | 2017

Facile single-stranded DNA sequencing of human plasma DNA via thermostable group II intron reverse transcriptase template switching

Douglas C. Wu; Alan M. Lambowitz

High-throughput single-stranded DNA sequencing (ssDNA-seq) of cell-free DNA from plasma and other bodily fluids is a powerful method for non-invasive prenatal testing, and diagnosis of cancers and other diseases. Here, we developed a facile ssDNA-seq method, which exploits a novel template-switching activity of thermostable group II intron reverse transcriptases (TGIRTs) for DNA-seq library construction. This activity enables TGIRT enzymes to initiate DNA synthesis directly at the 3′ end of a DNA strand while simultaneously attaching a DNA-seq adapter without end repair, tailing, or ligation. Initial experiments using this method to sequence E. coli genomic DNA showed that the TGIRT enzyme has surprisingly robust DNA polymerase activity. Further experiments showed that TGIRT-seq of plasma DNA from a healthy individual enables analysis of nucleosome positioning, transcription factor-binding sites, DNA methylation sites, and tissues-of-origin comparably to established methods, but with a simpler workflow that captures precise DNA ends.


The Journal of Infectious Diseases | 2018

Clinical Correlations of Transcriptional Profile in Patients Infected With Avian Influenza H7N9 Virus

Wenda Guan; Zifeng Yang; Nicholas C. Wu; Horace Hok Yeung Lee; Yimin Li; Wenxin Jiang; Lihan Shen; Douglas C. Wu; Rongchang Chen; Nanshan Zhong; Ian A. Wilson; Malik Peiris; Chris Ka Pun Mok

This study correlated serial blood transcriptomic profiles of patients with avian influenza A (H7N9) virus infection with clinical data of patients. Biologically significant transcriptomic profiles associated with blood oxygenation and viral load in the lower respiratory tract were defined.


Scientific Reports | 2018

Author Correction: Facile single-stranded DNA sequencing of human plasma DNA via thermostable group II intron reverse transcriptase template switching

Douglas C. Wu; Alan M. Lambowitz

A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has not been fixed in the paper.


BMC Genomics | 2018

Limitations of alignment-free tools in total RNA-seq quantification

Douglas C. Wu; Jun Yao; Kevin S. Ho; Alan M. Lambowitz; Claus O. Wilke

BackgroundAlignment-free RNA quantification tools have significantly increased the speed of RNA-seq analysis. However, it is unclear whether these state-of-the-art RNA-seq analysis pipelines can quantify small RNAs as accurately as they do with long RNAs in the context of total RNA quantification.ResultWe comprehensively tested and compared four RNA-seq pipelines for accuracy of gene quantification and fold-change estimation. We used a novel total RNA benchmarking dataset in which small non-coding RNAs are highly represented along with other long RNAs. The four RNA-seq pipelines consisted of two commonly-used alignment-free pipelines and two variants of alignment-based pipelines. We found that all pipelines showed high accuracy for quantifying the expression of long and highly-abundant genes. However, alignment-free pipelines showed systematically poorer performance in quantifying lowly-abundant and small RNAs.ConclusionWe have shown that alignment-free and traditional alignment-based quantification methods perform similarly for common gene targets, such as protein-coding genes. However, we have identified a potential pitfall in analyzing and quantifying lowly-expressed genes and small RNAs with alignment-free pipelines, especially when these small RNAs contain biological variations.

Collaboration


Dive into the Douglas C. Wu's collaboration.

Top Co-Authors

Avatar

Alan M. Lambowitz

University of Texas at Austin

View shared research outputs
Top Co-Authors

Avatar

Jun Yao

University of Texas at Austin

View shared research outputs
Top Co-Authors

Avatar

Ryan M. Nottingham

University of Texas at Austin

View shared research outputs
Top Co-Authors

Avatar

Scott Hunicke-Smith

University of Texas at Austin

View shared research outputs
Top Co-Authors

Avatar

Yidan Qin

University of Texas at Austin

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Junwei Chen

Huazhong University of Science and Technology

View shared research outputs
Top Co-Authors

Avatar

Qiong Jia

Huazhong University of Science and Technology

View shared research outputs
Top Co-Authors

Avatar

Shuang Zhang

Huazhong University of Science and Technology

View shared research outputs
Researchain Logo
Decentralizing Knowledge