UMB Data Catalog

Alternate Title(s): Comparison of In Vivo Expression Levels of IL-4 and IL-4 delta2 in Mouse Lung Tissue
Authors: Sergei P. Atamas

Irina G. Luzina

Virginia Lockatell

Nevins W. Todd

3 more author(s)...
Description: The primary goal of this project was to compare in vivo gene expression levels of the cytokine, IL-4, and its natural splice variant, IL-4δ2, in the lungs of mice. Intratracheal replication-deficient adenovirus-mediated gene delivery of mouse IL-4 or IL-4δ2 was utilized to create three mice overexpressing IL-4 and three overexpressing IL-4δ2 in their lungs. An additional three mice were similarly infected with control AdV-NULL virus not encoding a cytokine. 14 days postinfection, lung tissue was homogenized, total RNA extracted, and results analyzed. The data demonstrate that IL-4 and its splice variant differentially affect global gene expression which has implications for the use of targeted therapy for various diseases. The dataset consists of 9 microarray data tables corresponding to each of the samples. Additionally, a supplementary TAR file of the raw data is also available to download.
Subject: Gene Expression Profiling

Microarray Analysis
Timeframe: 2010
Access Rights: Unrestricted access

Authors: Sergei P. Atamas
Description: Idiopathic pulmonary fibrosis (IPF) produces scarring in the peripheral and basilar regions of the lung with macroscopically normal-appearing tissue in the central and apical areas. This study involved comparing transcriptomic profiles of the latter with transcriptomes of scarred IPF and healthy control lung tissues. The primary goal of the research was to elucidate the pathobiology of the disease in its earliest stages. Tissue samples were taken from lung explants of 3 IPF patients and healthy lung tissue from 3 transplant donors. Dataset includes 10 sequence reads from macroscopically normal-appearing areas and 8 from scarred regions from IPF lungs, and an additional 8 from the normal control tissue for a total of 26 samples. 1 supplementary PDF and 7 supplementary datasets in Excel are available at: http://dx.doi.org/10.1016/j.cellimm.2018.01.002
Subject: Gene Expression Profiling

Sequence Analysis
Access Rights: Unrestricted access

Authors: Adam Kim

Jean Popovici

Didier Menard

David Serre
Description: Plasmodium vivax is the most widespread human malaria parasite. However, its biology is little understood for a number of reasons, not the least of which is the inability to continuously propagate it in vitro. Utilizing samples of whole blood taken from 26 Cambodian patients who were determined to be solely infected with the parasite, this research investigated three aspects of P. vivax activity: 1) the statistical contribution of the different developmental stages present in infection using gene expression deconvolution; 2) the regulation of expression of gametocyte genes, and 3) the effect of chloroquine on the P. vivax transcriptome. The primary dataset includes RNA-sequencing reads from the blood of the Cambodian patients as well as reads derived from dissected sporozoites from mosquitoes. Four supplementary data files provide additional details from the study.
Subject: Gene Expression Profiling

Plasmodium vivax
Geographic Coverage: International
Access Rights: Unrestricted access

Authors: Abdu F. Azad

Sheila M. Dreher-Lesnick

Shane M. Ceraul

Sky C. Lesnick

4 more author(s)...
Description: Murine typhus is a febrile disease caused by the bacterium, Rickettsia typhi (R. typhi), and transmitted via infected fleas. This study investigated midgut responses of infected versus uninfected cat fleas (Ctenocephalides felis) by constructing cDNA libraries and examining transcript levels. Select C. felis serine proteases, GTPases and defense response genes were compared to identify differences in gene expression between the two states of infection. A total of 1152 transcripts from both libraries were sequenced, generating 906 high quality sequences, 472 from the uninfected and 434 from the infected midgut library.
Subject: Ctenocephalides

Gene Expression Profiling

Rickettsia typhi

Transcription, Genetic
Timeframe: 2009
Access Rights: Unrestricted access