Abstract

The Emerging Technologies Core consists of two components -a Microarray Core and a Mass Spectometry Core. Microarray technology, which facilitates measurement of relative levels of gene expression through a massively parallel approach, has begun to revolutionize biomedical research. While microarray analysis measures relative mRNA abundance, mass spectrometry allows high-resolution analysis of protein levels. Emphasis in the GI SPORE Emerging Technologies Core is on providing high-density gene expression microarray and mass spectrometry technology and support for their use. Initially, Project 3 (utilization of both microarray and mass spectrometry) and Project 5 (utilization of only microarray) will be supported. It is anticipated that these technologies will be utilized by other GI SPORE investigators during the GI SPORE granting period. The Emerging Technologies Core, operating in conjunction with the Vanderbilt Microarray Shared Resource (VMSR) and the Mass Spectrometry Research Center, will provide GI SPORE members affordable access to these technologies.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center (P50)
Project #
1P50CA095103-01
Application #
6689450
Study Section
Special Emphasis Panel (ZCA1)
Project Start
2002-09-24
Project End
2007-04-30
Budget Start
Budget End
Support Year
1
Fiscal Year
2002
Total Cost
Indirect Cost

  Institution

Name
Vanderbilt University Medical Center
Department
Type
DUNS #
004413456
City
Nashville
State
TN
Country
United States
Zip Code
37203

  Publications

Burns, Michael C; Howes, Jennifer E; Sun, Qi et al. (2018) High-throughput screening identifies small molecules that bind to the RAS:SOS:RAS complex and perturb RAS signaling. Anal Biochem 548:44-52
Herring, Charles A; Banerjee, Amrita; McKinley, Eliot T et al. (2018) Unsupervised Trajectory Analysis of Single-Cell RNA-Seq and Imaging Data Reveals Alternative Tuft Cell Origins in the Gut. Cell Syst 6:37-51.e9
Hinger, Scott A; Cha, Diana J; Franklin, Jeffrey L et al. (2018) Diverse Long RNAs Are Differentially Sorted into Extracellular Vesicles Secreted by Colorectal Cancer Cells. Cell Rep 25:715-725.e4
Weigl, Korbinian; Thomsen, Hauke; Balavarca, Yesilda et al. (2018) Genetic Risk Score Is Associated With Prevalence of Advanced Neoplasms in a Colorectal Cancer Screening Population. Gastroenterology 155:88-98.e10
Schulte, Michael L; Fu, Allie; Zhao, Ping et al. (2018) Pharmacological blockade of ASCT2-dependent glutamine transport leads to antitumor efficacy in preclinical models. Nat Med 24:194-202
Zhao, Shilin; Li, Chung-I; Guo, Yan et al. (2018) RnaSeqSampleSize: real data based sample size estimation for RNA sequencing. BMC Bioinformatics 19:191
Wang, Yang; Vnencak-Jones, Cindy L; Cates, Justin M et al. (2018) Deciphering Elevated Microsatellite Alterations at Selected Tetra/Pentanucleotide Repeats, Microsatellite Instability, and Loss of Heterozygosity in Colorectal Cancers. J Mol Diagn 20:366-372
Banerjee, Amrita; McKinley, Eliot T; von Moltke, Jakob et al. (2018) Interpreting heterogeneity in intestinal tuft cell structure and function. J Clin Invest 128:1711-1719
Herring, Charles A; Chen, Bob; McKinley, Eliot T et al. (2018) Single-Cell Computational Strategies for Lineage Reconstruction in Tissue Systems. Cell Mol Gastroenterol Hepatol 5:539-548
Choi, Eunyoung; Lantz, Tyler L; Vlacich, Gregory et al. (2018) Lrig1+ gastric isthmal progenitor cells restore normal gastric lineage cells during damage recovery in adult mouse stomach. Gut 67:1595-1605

Showing the most recent 10 out of 447 publications