S'identifier

University of Illinois at Urbana-Champaign (UIUC)

3 ARTICLES PUBLISHED IN JoVE

Chemistry

Laboratory Production of Biofuels and Biochemicals from a Rapeseed Oil through Catalytic Cracking Conversion

Siauw H. Ng¹, Yu Shi¹, Nicole E. Heshka¹, Yi Zhang¹, Edward Little¹

This paper presents an experimental method to produce biofuels and biochemicals from canola oil mixed with a fossil-based feed in the presence of a catalyst at mild temperatures. Gaseous, liquid, and solid products from a reaction unit are quantified and characterized. Conversion and individual product yields are calculated and reported.

Medicine

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Dibakar Sigdel^*1,2, Vincent Kyi^*1,2, Aiden Zhang^*1, Shaun P. Setty³, David A. Liem^1,2,4, Yu Shi⁵, Xuan Wang⁵, Jiaming Shen⁵, Wei Wang^1,6,7, JiaWei Han⁵, Peipei Ping^1,2,4,6

¹The NIH BD2K Center of Excellence in Biomedical Computing, University of California, Los Angeles, ²Department of Physiology, University of California, Los Angeles, ³Department of Pediatric and Adult Congenital Heart Surgery, Miller Children's and Women's Hospital and Long Beach Memorial Hospital, ⁴Department of Medicine/Cardiology, University of California, Los Angeles, ⁵NIH BD2K Program Centers of Excellence for Big Data Computing -- KnowEng Center, Department of Computer Science, University of Illinois at Urbana-Champaign (UIUC), ⁶Scalable Analytics Institute (ScAi), University of California, Los Angeles, ⁷Department of Computer Science, University of California, Los Angeles

We present a protocol and associated programming code as well as metadata samples to support a cloud-based automated identification of phrases-category association representing unique concepts in user selected knowledge domain in biomedical literature. The phrase-category association quantified by this protocol can facilitate in depth analysis in the selected knowledge domain.

Cancer Research

Fluorescence Microscopy for ATP Internalization Mediated by Macropinocytosis in Human Tumor Cells and Tumor-xenografted Mice

Corinne M. Nielsen^*1,2,3, Yanrong Qian^*4, Subhodip Adhicary^1,5, Yunsheng Li⁴, Pratik Shriwas^1,2,4, Xuan Wang^1,2,4, Lindsey Bachmann⁶, Xiaozhuo Chen^1,2,4,7

¹Department of Biological Sciences, Ohio University, ²Molecular and Cellular Biology Program, Ohio University, ³Neuroscience Program, Ohio University, ⁴Edison Biotechnology Institute, Ohio University, ⁵Translational Biomedical Sciences Program, Ohio University, ⁶Honors Tutorial College, Ohio University, ⁷Department of Biomedical Sciences, Heritage College of Osteopathic Medicine, Ohio University

We developed a reproducible method to visualize the internalization of nonhydrolyzable fluorescent adenosine triphosphate (ATP), an ATP surrogate, with high cellular resolution. We validated our method using independent in vitro and in vivo assays-human tumor cell lines and immunodeficient mice xenografted with human tumor tissue.