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VEGFR‐3 in adult angiogenesis

adult

Dai J.
GSID: RqEaTtFBoWYJ
AN Witmer, BC Van Blijswijk, J Dai… - The Journal of …, 2001 - Wiley Online Library

… the adult, VEGFR-3 expression is lost from vascular endothelial cells but is retained on lymphatic endothelial cells3, 9, 11. It was therefore suggested that in the adult… a role in adult blood …

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Witmer, A. N., Van Blijswijk, B. C., Dai, J., Hofman, P., Partanen, T. A., Vrensen, G. F. J. M., & Schlingemann, R. O. (2001). VEGFR‐3 in adult angiogenesis. The Journal of Pathology: A Journal of the Pathological Society of Great Britain and Ireland, 195(4), 490-497.
Witmer, A. N., et al. "VEGFR‐3 in adult angiogenesis." The Journal of Pathology: A Journal of the Pathological Society of Great Britain and Ireland 195.4 (2001): 490-497.
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A Novel Microwave-Induced Plasma Ionization Source for Ion Mobility Spectrometry.

Scientific reports

Dai J, Zhao Z, Liang G, Duan Y.
PMID: 28287097
Sci Rep. 2017 Mar 13;7:44051. doi: 10.1038/srep44051.

This work demonstrates the application of a novel microwave induced plasma ionization (MIPI) source to ion mobility spectrometry (IMS). The MIPI source, called Surfatron, is composed of a copper cavity and a hollow quartz discharge tube. The ion mobility...

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Dai J, Zhao Z, Liang G, et al. A Novel Microwave-Induced Plasma Ionization Source for Ion Mobility Spectrometry. Sci Rep. 2017;7:44051doi: 10.1038/srep44051.
Dai, J., Zhao, Z., Liang, G., & Duan, Y. (2017). A Novel Microwave-Induced Plasma Ionization Source for Ion Mobility Spectrometry. Scientific reports, 744051. https://doi.org/10.1038/srep44051
Dai, Jianxiong, et al. "A Novel Microwave-Induced Plasma Ionization Source for Ion Mobility Spectrometry." Scientific reports vol. 7 (2017): 44051. doi: https://doi.org/10.1038/srep44051
Dai J, Zhao Z, Liang G, Duan Y. A Novel Microwave-Induced Plasma Ionization Source for Ion Mobility Spectrometry. Sci Rep. 2017 Mar 13;7:44051. doi: 10.1038/srep44051. PMID: 28287097; PMCID: PMC5347007.
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Measurement of the light scattering of single micrometer-sized particles captured with a microfluidic trap.

Optics express

Dai J, Li W, Gong B, Wang H, Xia M, Yang K.
PMID: 26698501
Opt Express. 2015 Nov 16;23(23):30204-15. doi: 10.1364/OE.23.030204.

Light scattering detection of a single particle is significant to both theoretical developments and application progresses of particle scattering. In this work, a new method employing the polydimethylsiloxane microfluidic catcher with self-regulation was developed to detect the light scattering...

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Dai J, Li W, Gong B, et al. Measurement of the light scattering of single micrometer-sized particles captured with a microfluidic trap. Opt Express. 2015;23(23):30204-15doi: 10.1364/OE.23.030204.
Dai, J., Li, W., Gong, B., Wang, H., Xia, M., & Yang, K. (2015). Measurement of the light scattering of single micrometer-sized particles captured with a microfluidic trap. Optics express, 23(23), 30204-15. https://doi.org/10.1364/OE.23.030204
Dai, Jie, et al. "Measurement of the light scattering of single micrometer-sized particles captured with a microfluidic trap." Optics express vol. 23,23 (2015): 30204-15. doi: https://doi.org/10.1364/OE.23.030204
Dai J, Li W, Gong B, Wang H, Xia M, Yang K. Measurement of the light scattering of single micrometer-sized particles captured with a microfluidic trap. Opt Express. 2015 Nov 16;23(23):30204-15. doi: 10.1364/OE.23.030204. PMID: 26698501.
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miRNA Enriched in Human Neuroblast Nuclei Bind the MAZ Transcription Factor and Their Precursors Contain the MAZ Consensus Motif.

Frontiers in molecular neuroscience

Goldie BJ, Fitzsimmons C, Weidenhofer J, Atkins JR, Wang DO, Cairns MJ.
PMID: 28878619
Front Mol Neurosci. 2017 Aug 21;10:259. doi: 10.3389/fnmol.2017.00259. eCollection 2017.

While the cytoplasmic function of microRNA (miRNA) as post-transcriptional regulators of mRNA has been the subject of significant research effort, their activity in the nucleus is less well characterized. Here we use a human neuronal cell model to show...

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Goldie BJ, Fitzsimmons C, Weidenhofer J, et al. miRNA Enriched in Human Neuroblast Nuclei Bind the MAZ Transcription Factor and Their Precursors Contain the MAZ Consensus Motif. Front Mol Neurosci. 2017;10:259doi: 10.3389/fnmol.2017.00259.
Goldie, B. J., Fitzsimmons, C., Weidenhofer, J., Atkins, J. R., Wang, D. O., & Cairns, M. J. (2017). miRNA Enriched in Human Neuroblast Nuclei Bind the MAZ Transcription Factor and Their Precursors Contain the MAZ Consensus Motif. Frontiers in molecular neuroscience, 10259. https://doi.org/10.3389/fnmol.2017.00259
Goldie, Belinda J, et al. "miRNA Enriched in Human Neuroblast Nuclei Bind the MAZ Transcription Factor and Their Precursors Contain the MAZ Consensus Motif." Frontiers in molecular neuroscience vol. 10 (2017): 259. doi: https://doi.org/10.3389/fnmol.2017.00259
Goldie BJ, Fitzsimmons C, Weidenhofer J, Atkins JR, Wang DO, Cairns MJ. miRNA Enriched in Human Neuroblast Nuclei Bind the MAZ Transcription Factor and Their Precursors Contain the MAZ Consensus Motif. Front Mol Neurosci. 2017 Aug 21;10:259. doi: 10.3389/fnmol.2017.00259. eCollection 2017. PMID: 28878619; PMCID: PMC5573442.
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An ensemble-based Cox proportional hazards regression framework for predicting survival in metastatic castration-resistant prostate cancer (mCRPC) patients.

F1000Research

Meier R, Graw S, Usset J, Raghavan R, Dai J, Chalise P, Ellis S, Fridley B, Koestler D.
PMID: 28413609
F1000Res. 2016 Nov 16;5:2677. doi: 10.12688/f1000research.8226.1. eCollection 2016.

From March through August 2015, nearly 60 teams from around the world participated in the Prostate Cancer Dream Challenge (PCDC). Participating teams were faced with the task of developing prediction models for patient survival and treatment discontinuation using baseline...

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Meier R, Graw S, Usset J, et al. An ensemble-based Cox proportional hazards regression framework for predicting survival in metastatic castration-resistant prostate cancer (mCRPC) patients. F1000Res. 2016;5:2677doi: 10.12688/f1000research.8226.1.
Meier, R., Graw, S., Usset, J., Raghavan, R., Dai, J., Chalise, P., Ellis, S., Fridley, B., & Koestler, D. (2016). An ensemble-based Cox proportional hazards regression framework for predicting survival in metastatic castration-resistant prostate cancer (mCRPC) patients. F1000Research, 52677. https://doi.org/10.12688/f1000research.8226.1
Meier, Richard, et al. "An ensemble-based Cox proportional hazards regression framework for predicting survival in metastatic castration-resistant prostate cancer (mCRPC) patients." F1000Research vol. 5 (2016): 2677. doi: https://doi.org/10.12688/f1000research.8226.1
Meier R, Graw S, Usset J, Raghavan R, Dai J, Chalise P, Ellis S, Fridley B, Koestler D. An ensemble-based Cox proportional hazards regression framework for predicting survival in metastatic castration-resistant prostate cancer (mCRPC) patients. F1000Res. 2016 Nov 16;5:2677. doi: 10.12688/f1000research.8226.1. eCollection 2016. PMID: 28413609; PMCID: PMC5365222.
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Robot assisted laparoscopic documentation of endometriosis.

Journal of robotic surgery

Martin DC, Detti L, Osborne S.
PMID: 27637248
J Robot Surg. 2014 Mar;8(1):97-8. doi: 10.1007/s11701-013-0417-0. Epub 2013 Jun 29.

The increased confirmation of endometriosis noted using robotically assisted laparoscopy may be the result of multiple factors, including the three-dimensional view provided with the robot, increased attention and awareness while using new technology, increased time spent considering histologic documentation...

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Martin DC, Detti L, Osborne S. Robot assisted laparoscopic documentation of endometriosis. J Robot Surg. 2013;8(1):97-8doi: 10.1007/s11701-013-0417-0.
Martin, D. C., Detti, L., & Osborne, S. (2014). Robot assisted laparoscopic documentation of endometriosis. Journal of robotic surgery, 8(1), 97-8. https://doi.org/10.1007/s11701-013-0417-0
Martin, Dan C, et al. "Robot assisted laparoscopic documentation of endometriosis." Journal of robotic surgery vol. 8,1 (2014): 97-8. doi: https://doi.org/10.1007/s11701-013-0417-0
Martin DC, Detti L, Osborne S. Robot assisted laparoscopic documentation of endometriosis. J Robot Surg. 2014 Mar;8(1):97-8. doi: 10.1007/s11701-013-0417-0. Epub 2013 Jun 29. PMID: 27637248.
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Thermally Conductive, Electrical Insulating, Optically Transparent Bi-Layer Nanopaper.

ACS applied materials & interfaces

Zhou L, Yang Z, Luo W, Han X, Jang SH, Dai J, Yang B, Hu L.
PMID: 27704759
ACS Appl Mater Interfaces. 2016 Oct 26;8(42):28838-28843. doi: 10.1021/acsami.6b09471. Epub 2016 Oct 13.

Cellulose nanofiber (CNF) from abundant and renewable wood is an emerging material with excellent mechanical, chemical, and optical properties. Transparent nanopaper made of CNF (CNF-nanopaper) could potentially replace plastics in electronics due to its excellent optical transparency, mechanical strength,...

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Zhou L, Yang Z, Luo W, et al. Thermally Conductive, Electrical Insulating, Optically Transparent Bi-Layer Nanopaper. ACS Appl Mater Interfaces. 2016;8(42):28838-28843doi: 10.1021/acsami.6b09471.
Zhou, L., Yang, Z., Luo, W., Han, X., Jang, S. H., Dai, J., Yang, B., & Hu, L. (2016). Thermally Conductive, Electrical Insulating, Optically Transparent Bi-Layer Nanopaper. ACS applied materials & interfaces, 8(42), 28838-28843. https://doi.org/10.1021/acsami.6b09471
Zhou, Lihui, et al. "Thermally Conductive, Electrical Insulating, Optically Transparent Bi-Layer Nanopaper." ACS applied materials & interfaces vol. 8,42 (2016): 28838-28843. doi: https://doi.org/10.1021/acsami.6b09471
Zhou L, Yang Z, Luo W, Han X, Jang SH, Dai J, Yang B, Hu L. Thermally Conductive, Electrical Insulating, Optically Transparent Bi-Layer Nanopaper. ACS Appl Mater Interfaces. 2016 Oct 26;8(42):28838-28843. doi: 10.1021/acsami.6b09471. Epub 2016 Oct 13. PMID: 27704759.
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Trans-Cinnamaldehyde, Carvacrol, and Eugenol Reduce .

Frontiers in microbiology

Upadhyay A, Arsi K, Wagle BR, Upadhyaya I, Shrestha S, Donoghue AM, Donoghue DJ.
PMID: 28487683
Front Microbiol. 2017 Apr 25;8:713. doi: 10.3389/fmicb.2017.00713. eCollection 2017.

No abstract available.

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Upadhyay A, Arsi K, Wagle BR, et al. Trans-Cinnamaldehyde, Carvacrol, and Eugenol Reduce . Front Microbiol. 2017;8:713doi: 10.3389/fmicb.2017.00713.
Upadhyay, A., Arsi, K., Wagle, B. R., Upadhyaya, I., Shrestha, S., Donoghue, A. M., & Donoghue, D. J. (2017). Trans-Cinnamaldehyde, Carvacrol, and Eugenol Reduce . Frontiers in microbiology, 8713. https://doi.org/10.3389/fmicb.2017.00713
Upadhyay, Abhinav, et al. "Trans-Cinnamaldehyde, Carvacrol, and Eugenol Reduce ." Frontiers in microbiology vol. 8 (2017): 713. doi: https://doi.org/10.3389/fmicb.2017.00713
Upadhyay A, Arsi K, Wagle BR, Upadhyaya I, Shrestha S, Donoghue AM, Donoghue DJ. Trans-Cinnamaldehyde, Carvacrol, and Eugenol Reduce . Front Microbiol. 2017 Apr 25;8:713. doi: 10.3389/fmicb.2017.00713. eCollection 2017. PMID: 28487683; PMCID: PMC5403884.
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Highly Anisotropic Conductors.

Advanced materials (Deerfield Beach, Fla.)

Wan J, Song J, Yang Z, Kirsch D, Jia C, Xu R, Dai J, Zhu M, Xu L, Chen C, Wang Y, Wang Y, Hitz E, Lacey SD, Li Y, Yang B, Hu L.
PMID: 28922480
Adv Mater. 2017 Nov;29(41). doi: 10.1002/adma.201703331. Epub 2017 Sep 18.

Composite materials with ordered microstructures often lead to enhanced functionalities that a single material can hardly achieve. Many biomaterials with unusual microstructures can be found in nature; among them, many possess anisotropic and even directional physical and chemical properties....

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Wan J, Song J, Yang Z, et al. Highly Anisotropic Conductors. Adv Mater. 2017;29(41)doi: 10.1002/adma.201703331.
Wan, J., Song, J., Yang, Z., Kirsch, D., Jia, C., Xu, R., Dai, J., Zhu, M., Xu, L., Chen, C., Wang, Y., Wang, Y., Hitz, E., Lacey, S. D., Li, Y., Yang, B., & Hu, L. (2017). Highly Anisotropic Conductors. Advanced materials (Deerfield Beach, Fla.), 29(41), . https://doi.org/10.1002/adma.201703331
Wan, Jiayu, et al. "Highly Anisotropic Conductors." Advanced materials (Deerfield Beach, Fla.) vol. 29,41 (2017). doi: https://doi.org/10.1002/adma.201703331
Wan J, Song J, Yang Z, Kirsch D, Jia C, Xu R, Dai J, Zhu M, Xu L, Chen C, Wang Y, Wang Y, Hitz E, Lacey SD, Li Y, Yang B, Hu L. Highly Anisotropic Conductors. Adv Mater. 2017 Nov;29(41). doi: 10.1002/adma.201703331. Epub 2017 Sep 18. PMID: 28922480.
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SICLE: a high-throughput tool for extracting evolutionary relationships from phylogenetic trees.

PeerJ

DeBlasio DF, Wisecaver JH.
PMID: 27635331
PeerJ. 2016 Aug 23;4:e2359. doi: 10.7717/peerj.2359. eCollection 2016.

We present the phylogeny analysis software SICLE (Sister Clade Extractor), an easy-to-use, high-throughput tool to describe the nearest neighbors to a node of interest in a phylogenetic tree as well as the support value for the relationship. The application...

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DeBlasio DF, Wisecaver JH. SICLE: a high-throughput tool for extracting evolutionary relationships from phylogenetic trees. PeerJ. 2016;4:e2359doi: 10.7717/peerj.2359.
DeBlasio, D. F., & Wisecaver, J. H. (2016). SICLE: a high-throughput tool for extracting evolutionary relationships from phylogenetic trees. PeerJ, 4e2359. https://doi.org/10.7717/peerj.2359
DeBlasio, Dan F, and Wisecaver, Jennifer H. "SICLE: a high-throughput tool for extracting evolutionary relationships from phylogenetic trees." PeerJ vol. 4 (2016): e2359. doi: https://doi.org/10.7717/peerj.2359
DeBlasio DF, Wisecaver JH. SICLE: a high-throughput tool for extracting evolutionary relationships from phylogenetic trees. PeerJ. 2016 Aug 23;4:e2359. doi: 10.7717/peerj.2359. eCollection 2016. PMID: 27635331; PMCID: PMC5012314.
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Tuning two-dimensional nanomaterials by intercalation: materials, properties and applications.

Chemical Society reviews

Wan J, Lacey SD, Dai J, Bao W, Fuhrer MS, Hu L.
PMID: 27704060
Chem Soc Rev. 2016 Dec 05;45(24):6742-6765. doi: 10.1039/c5cs00758e.

2D materials have attracted tremendous attention due to their unique physical and chemical properties since the discovery of graphene. Despite these intrinsic properties, various modification methods have been applied to 2D materials that yield even more exciting results in...

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Wan J, Lacey SD, Dai J, et al. Tuning two-dimensional nanomaterials by intercalation: materials, properties and applications. Chem Soc Rev. 2016;45(24):6742-6765doi: 10.1039/c5cs00758e.
Wan, J., Lacey, S. D., Dai, J., Bao, W., Fuhrer, M. S., & Hu, L. (2016). Tuning two-dimensional nanomaterials by intercalation: materials, properties and applications. Chemical Society reviews, 45(24), 6742-6765. https://doi.org/10.1039/c5cs00758e
Wan, Jiayu, et al. "Tuning two-dimensional nanomaterials by intercalation: materials, properties and applications." Chemical Society reviews vol. 45,24 (2016): 6742-6765. doi: https://doi.org/10.1039/c5cs00758e
Wan J, Lacey SD, Dai J, Bao W, Fuhrer MS, Hu L. Tuning two-dimensional nanomaterials by intercalation: materials, properties and applications. Chem Soc Rev. 2016 Dec 05;45(24):6742-6765. doi: 10.1039/c5cs00758e. PMID: 27704060.
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Self-compensated microstructure fiber optic sensor to detect high hydrogen concentration.

Optics express

Tang S, Zhang B, Li Z, Dai J, Wang G, Yang M.
PMID: 26368250
Opt Express. 2015 Aug 24;23(17):22826-35. doi: 10.1364/OE.23.022826.

Dual-cavity microstructure fiber optic hydrogen sensor based on evaporated Pt/WO(3) film was proposed and experimentally explored in this paper, which provides a novel solution to detect high hydrogen concentration (10-30% H(2)). Dual-cavity microstructure fabricated by splicer is composed of...

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Tang S, Zhang B, Li Z, et al. Self-compensated microstructure fiber optic sensor to detect high hydrogen concentration. Opt Express. 2015;23(17):22826-35doi: 10.1364/OE.23.022826.
Tang, S., Zhang, B., Li, Z., Dai, J., Wang, G., & Yang, M. (2015). Self-compensated microstructure fiber optic sensor to detect high hydrogen concentration. Optics express, 23(17), 22826-35. https://doi.org/10.1364/OE.23.022826
Tang, Shuijing, et al. "Self-compensated microstructure fiber optic sensor to detect high hydrogen concentration." Optics express vol. 23,17 (2015): 22826-35. doi: https://doi.org/10.1364/OE.23.022826
Tang S, Zhang B, Li Z, Dai J, Wang G, Yang M. Self-compensated microstructure fiber optic sensor to detect high hydrogen concentration. Opt Express. 2015 Aug 24;23(17):22826-35. doi: 10.1364/OE.23.022826. PMID: 26368250.
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Showing 1 to 12 of 4693 entries