The Experts below are selected from a list of 275121 Experts worldwide ranked by ideXlab platform
He Tian - One of the best experts on this subject based on the ideXlab platform.
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a clicked tetrameric hydroxamic acid glycopeptidomimetic antagonizes sugar lectin interactions on the Cellular Level
Scientific Reports, 2015Co-Authors: Hailin Zhang, Yi Zang, Jia Li, Guorong Chen, Xiaopeng He, He TianAbstract:A tetrameric N-acetyl galactosaminyl (GalNAc) peptidomimetic was constructed by N-acetylation of repeating proline-based hydroxamic acid units, followed by a convergent ‘click chemistry' coupling. This novel glycopeptidomimetic was determined to effectively antagonize the interaction between a transmembrane hepatic lectin and GalNAc on the Cellular Level.
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A ‘Clicked' Tetrameric Hydroxamic Acid Glycopeptidomimetic Antagonizes Sugar-Lectin Interactions On The Cellular Level
Scientific Reports, 2014Co-Authors: Hailin Zhang, Yi Zang, Guorong Chen, Juan Xie, He TianAbstract:A tetrameric N-acetyl galactosaminyl (GalNAc) peptidomimetic was constructed by N-acetylation of repeating proline-based hydroxamic acid units, followed by a convergent ‘click chemistry' coupling. This novel glycopeptidomimetic was determined to effectively antagonize the interaction between a transmembrane hepatic lectin and GalNAc on the Cellular Level.
Hailin Zhang - One of the best experts on this subject based on the ideXlab platform.
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a clicked tetrameric hydroxamic acid glycopeptidomimetic antagonizes sugar lectin interactions on the Cellular Level
Scientific Reports, 2015Co-Authors: Hailin Zhang, Yi Zang, Jia Li, Guorong Chen, Xiaopeng He, He TianAbstract:A tetrameric N-acetyl galactosaminyl (GalNAc) peptidomimetic was constructed by N-acetylation of repeating proline-based hydroxamic acid units, followed by a convergent ‘click chemistry' coupling. This novel glycopeptidomimetic was determined to effectively antagonize the interaction between a transmembrane hepatic lectin and GalNAc on the Cellular Level.
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A ‘Clicked' Tetrameric Hydroxamic Acid Glycopeptidomimetic Antagonizes Sugar-Lectin Interactions On The Cellular Level
Scientific Reports, 2014Co-Authors: Hailin Zhang, Yi Zang, Guorong Chen, Juan Xie, He TianAbstract:A tetrameric N-acetyl galactosaminyl (GalNAc) peptidomimetic was constructed by N-acetylation of repeating proline-based hydroxamic acid units, followed by a convergent ‘click chemistry' coupling. This novel glycopeptidomimetic was determined to effectively antagonize the interaction between a transmembrane hepatic lectin and GalNAc on the Cellular Level.
Werner Kammerloher - One of the best experts on this subject based on the ideXlab platform.
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Bioluminescence microscopy for Cellular Level circadian analysis in the suprachiasmatic nucleus
Nature Methods, 2008Co-Authors: Werner KammerloherAbstract:Bioluminescence microscopy for Cellular Level circadian analysis in the suprachiasmatic nucleus
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Bioluminescence microscopy for Cellular Level circadian analysis in the suprachiasmatic nucleus
Nature Methods, 2008Co-Authors: Werner KammerloherAbstract:Traditionally, luminescence has not been able to provide sufficient spatial resolution at the microscopic Level without the use of expensive imaging equipment. The new Olympus LV200 microscope has changed all this; its unique optical geometry and precise incubation capabilities enable acquisition of even the faintest signals with Cellular-Level detail. This has opened up new frontiers in many areas of research, especially in the study of circadian rhythm–related events.
Rong Fan - One of the best experts on this subject based on the ideXlab platform.
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Spatial transcriptome sequencing of FFPE tissues at Cellular Level
2020Co-Authors: Yang Liu, Archibald Enninful, Yanxiang Deng, Rong FanAbstract:Abstract Formalin-fixed paraffin-embedded (FFPE) tissues are the most abundant archivable specimens in clinical tissue banks, but unfortunately incompatible with single-cell Level whole transcriptome sequencing due to RNA degradation in storage and RNA damage in extraction. We developed an in-tissue barcoding approach namely DBiT-seq for spatially revolved whole transcriptome sequencing at Cellular Level, which required no tissue dissociation or RNA exaction, thus potentially more suited for FFPE samples. Herein, we demonstrated spatial transcriptome sequencing of embryonic and adult mouse FFPE tissue sections at Cellular Level (25µm pixel size) with high coverage (>1,000 genes per pixel). Spatial transcriptome of an E10.5 mouse embryo identified all major anatomical features in the brain and abdominal region. Integration with single-cell RNA-seq data for cell type identification indicated that most tissue pixels were dominated by single-cell transcriptional phenotype. Spatial mapping of adult mouse aorta, atrium, and ventricle tissues identified the spatial distribution of a variety of cell types. Spatial transcriptome sequencing of FFPE samples at Cellular Level may provide enormous opportunities in a wide range of biomedical research. It may allow us to exploit the huge resource of clinical tissue specimens to study human disease mechanisms and discover tissue biomarkers or therapeutic targets
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Spatial transcriptome sequencing of FFPE tissues at the Cellular Level
2020Co-Authors: Yang Liu, Archibald Enninful, Yanxiang Deng, Rong FanAbstract:Formalin-fixed paraffin-embedded (FFPE) tissues are the most abundant archivable specimens in clinical tissue banks, but unfortunately incompatible with single-cell Level transcriptome sequencing due to RNA degradation in storage and RNA damage in extraction. We developed an in-tissue barcoding approach namely DBiT-seq for spatially revolved whole transcriptome sequencing at Cellular Level, which required no tissue dissociation or RNA exaction, thus potentially more suited for FFPE samples. Herein, we demonstrated spatial transcriptome sequencing of embryonic and adult mouse FFPE tissue sections at Cellular Level (25um pixel size) with high coverage (>1,000 genes per pixel). Spatial transcriptome of a E10.5 mouse embryo identified all major anatomical features in the brain and abdominal region. Integration with single-cell RNA-seq data for cell type identification indicated that most tissue pixels were dominated by single-cell transcriptional phenotype. Spatial mapping of adult mouse aorta, atrium, and ventricle tissues identified the spatial distribution of different cell types. Spatial transcriptome sequencing of FFPE samples at Cellular Level may provide enormous opportunities in a wide range of biomedical research. It may allow us to revisit retrospectively the huge resource of clinical tissue specimens to study human disease mechanisms for the discovery of tissue biomarkers and therapeutic targets
Yi Zang - One of the best experts on this subject based on the ideXlab platform.
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a clicked tetrameric hydroxamic acid glycopeptidomimetic antagonizes sugar lectin interactions on the Cellular Level
Scientific Reports, 2015Co-Authors: Hailin Zhang, Yi Zang, Jia Li, Guorong Chen, Xiaopeng He, He TianAbstract:A tetrameric N-acetyl galactosaminyl (GalNAc) peptidomimetic was constructed by N-acetylation of repeating proline-based hydroxamic acid units, followed by a convergent ‘click chemistry' coupling. This novel glycopeptidomimetic was determined to effectively antagonize the interaction between a transmembrane hepatic lectin and GalNAc on the Cellular Level.
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A ‘Clicked' Tetrameric Hydroxamic Acid Glycopeptidomimetic Antagonizes Sugar-Lectin Interactions On The Cellular Level
Scientific Reports, 2014Co-Authors: Hailin Zhang, Yi Zang, Guorong Chen, Juan Xie, He TianAbstract:A tetrameric N-acetyl galactosaminyl (GalNAc) peptidomimetic was constructed by N-acetylation of repeating proline-based hydroxamic acid units, followed by a convergent ‘click chemistry' coupling. This novel glycopeptidomimetic was determined to effectively antagonize the interaction between a transmembrane hepatic lectin and GalNAc on the Cellular Level.