Cheng ZHang

Dr. Cheng ZHang

orcid

Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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13 February 2018 in Scientific Reports
Verified
Journal Article
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MKMagdalena Kasendra
Magdalena Kasendra
ATAlessio Tovaglieri
Alessio Tovaglieri
ASAlexandra Sontheimer-Phelps
Alexandra Sontheimer-Phelps
SFSasan Jalili Firoozinezhad
Sasan Jalili Firoozinezhad
ABAmir Bein
Amir Bein
DIDonald E Ingber
Donald E Ingber
Here we describe a method for fabricating a primary human Small Intestine-on-a-Chip (Intestine Chip) containing epithelial cells isolated from healthy regions of intestinal biopsies. The primary epithelial cells are expanded as 3D organoids, dissociated, and cultured on a porous membrane within a microfluidic device with human intestinal microvascular endothelium cultured in a parallel microchannel under flow and cyclic deformation. In the Intestine Chip, the epithelium forms villi-like projections lined by polarized epithelial cells that undergo multi-lineage differentiation similar to that of intestinal organoids, however, these cells expose their apical surfaces to an open lumen and interface with endothelium. Transcriptomic analysis also indicates that the Intestine Chip more closely mimics whole human duodenum in vivo when compared to the duodenal organoids used to create the chips. Because fluids flowing through the lumen of the Intestine Chip can be collected continuously, sequential analysis of fluid samples can be used to quantify nutrient digestion, mucus secretion and establishment of intestinal barrier function over a period of multiple days in vitro. The Intestine Chip therefore may be useful as a research tool for applications where normal intestinal function is crucial, including studies of metabolism, nutrition, infection, and drug pharmacokinetics, as well as personalized medicine.

20 November 2017 in Nature Neuroscience
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Journal Article
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DADaniel J. Apicco
Daniel J. Apicco
PAPeter E. A. Ash
Peter E. A. Ash
BMBrandon Maziuk
Brandon Maziuk
CLChelsey LeBlang
Chelsey LeBlang
MMMaria Medalla
Maria Medalla
BWBenjamin Wolozin
Benjamin Wolozin
Emerging studies suggest a role for tau in regulating the biology of RNA binding proteins (RBPs). We now show that reducing the RBP T-cell intracellular antigen 1 (TIA1) in vivo protects against neurodegeneration and prolongs survival in transgenic P301S Tau mice. Biochemical fractionation shows co-enrichment and co-localization of tau oligomers and RBPs in transgenic P301S Tau mice. Reducing TIA1 decreased the number and size of granules co-localizing with stress granule markers. Decreasing TIA1 also inhibited the accumulation of tau oligomers at the expense of increasing neurofibrillary tangles. Despite the increase in neurofibrillary tangles, TIA1 reduction increased neuronal survival and rescued behavioral deficits and lifespan. These data provide in vivo evidence that TIA1 plays a key role in mediating toxicity and further suggest that RBPs direct the pathway of tau aggregation and the resulting neurodegeneration. We propose a model in which dysfunction of the translational stress response leads to tau-mediated pathology.

1 June 2019 in Molecular Cell
Verified
Journal Article
Closed access
XTXinyi Tu
Xinyi Tu
BQBo Qin
Bo Qin
YZYong Zhang
Yong Zhang
CZCheng ZHang
Cheng ZHang
MKMohamed Kahila
Mohamed Kahila
ZLZhenkun Lou
Zhenkun Lou

1 August 2018 in Acta Neuropathologica Communications
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Journal Article
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BMBrandon F. Maziuk
Brandon F. Maziuk
DADaniel J. Apicco
Daniel J. Apicco
ACAnna Lourdes Cruz
Anna Lourdes Cruz
LJLulu Jiang
Lulu Jiang
PAPeter E. A. Ash
Peter E. A. Ash
BWBenjamin Wolozin
Benjamin Wolozin
The development of insoluble, intracellular neurofibrillary tangles composed of the microtubule-associated protein tau is a defining feature of tauopathies, including Alzheimer’s disease (AD). Accumulating evidence suggests that tau pathology co-localizes with RNA binding proteins (RBPs) that are known markers for stress granules (SGs). Here we used proteomics to determine how the network of tau binding proteins changes with disease in the rTg4510 mouse, and then followed up with immunohistochemistry to identify RNA binding proteins that co-localize with tau pathology. The tau interactome networks revealed striking disease-related changes in interactions between tau and a multiple RBPs, and biochemical fractionation studies demonstrated that many of these proteins including hnRNPA0, EWSR1, PABP and RPL7 form insoluble aggregates as tau pathology develops. Immunohistochemical analysis of mouse and human brain tissues suggest a model of evolving pathological interaction, in which RBPs co-localize with pathological phospho-tau but occur adjacent to larger pathological tau inclusions. We suggest a model in which tau initially interacts with RBPs in small complexes, but evolves into isolated aggregated inclusions as tau pathology matures.

1 February 2018 in Cell Metabolism
Verified
Journal Article
Closed access
JZJin Zhang
Jin Zhang
JZJing Zhao
Jing Zhao
PDPerrine Dahan
Perrine Dahan
VLVivian Lu
Vivian Lu
CZCheng ZHang
Cheng ZHang
MTMichael A. Teitell
Michael A. Teitell

20 November 2013 in Nucleic Acids Research
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Journal Article
Open access
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CQChu Qin
Chu Qin
CZCheng ZHang
Cheng ZHang
FZFeng Zhu
Feng Zhu
FXFeng Xu
Feng Xu
SCShang Ying Chen
Shang Ying Chen
YCYuzong Chen
Yuzong Chen
Here we describe an update of the Therapeutic Target Database (http://bidd.nus.edu.sg/group/ttd/ttd.asp) for better serving the bench-to-clinic communities and for enabling more convenient data access, processing and exchange. Extensive efforts from the research, industry, clinical, regulatory and management communities have been collectively directed at the discovery, investigation, application, monitoring and management of targeted therapeutics. Increasing efforts have been directed at the development of stratified and personalized medicines. These efforts may be facilitated by the knowledge of the efficacy targets and biomarkers of targeted therapeutics. Therefore, we added search tools for using the International Classification of Disease ICD-10-CM and ICD-9-CM codes to retrieve the target, biomarker and drug information (currently enabling the search of almost 900 targets, 1800 biomarkers and 6000 drugs related to 900 disease conditions). We added information of almost 1800 biomarkers for 300 disease conditions and 200 drug scaffolds for 700 drugs. We significantly expanded Therapeutic Target Database data contents to cover >2300 targets (388 successful and 461 clinical trial targets), 20 600 drugs (2003 approved and 3147 clinical trial drugs), 20 000 multitarget agents against almost 400 target-pairs and the activity data of 1400 agents against 300 cell lines.