We recently announced an Ingenuity® Pathway Analysis (IPA®) update, which now includes more than 47,000 datasets available for Analysis Match. To mark the occasion, we’ve rounded up a few of the most interesting scientific studies that featured IPA. The teams we read about, and the work they accomplish, continues to impress us with their endless resourcefulness and creativity. We hope you’ll enjoy reading how IPA is helping scientists and researchers to generate deeper insights into their work.
Presymptomatic Change in MicroRNAs Modulates Tau Pathology
First author: Salil Sharma
Nature recently published a study by a cohort of Indiana University scientists who wanted to identify RNA changes that might contribute to tauopathy (a class of neurodegenerative diseases caused by misfolding of the tau protein). They used QIAGEN IPA throughout the stages of their process, leveraging its network analysis functionality to correlate observed transcriptomic changes, and analyzing miR-RNA pairing. They discovered that many canonical and disease associated pathways were altered at the presymptomatic stage of tauopathy, and that miR (MicroRNA) changes at an early stage of tauopathy are likely to contribute to disease progression. By invoking early miR changes triggered by Tau expression, they may impact disease progression by altering several key biological pathways.
Resveratrol Protects Mice Against SEB‐Induced Acute Lung Injury and Mortality by miR‐193a Modulation that Targets TGF‐β Signaling
First author: Hasan Alghetaa
A group of scientists from the University of South Carolina studied the impact of using Resveratrol—a phytoallexin—on mice with Staphylococcal enterotoxin B (SEB)-induced acute lung injury. They used QIAGEN IPA to analyze IDs and fold change quantities of 66 differentially regulated MiRNA to determine potentially affected gene targets and molecular pathways. They published their results in the March issue of Journal of Cellular and Molecular Medicine, in which they wrote, “our studies suggest that RES can effectively neutralize SEB‐mediated lung injury and mortality through potential regulation of miRNA that promote anti‐inflammatory activities”
Hodgkin Lymphoma-Derived Extracellular Vesicles Change the Secretome of Fibroblasts Toward a CAF Phenotype
First author: Bastian Dörsam
When a team of German researchers researched the extracellular vesicles (EV)-mediated interplay of Hodgkin Lymphoma (HL) cells and fibroblast, they used QIAGEN IPA to analyze pathway proteomic data. They found that HL cells and fibroblasts interact in a two-way manner, which not only changes migratory properties but also encourages the transition of a healthy fibroblast to a cancer-associated fibroblast (CAF) phenotype that is concomitant with the alteration of their inflammatory secretome. The team published their results in Frontiers in Immunology, with the conclusion that more in-depth study of the complex interactions in HL and the role of EVs might contribute to the development of novel therapeutic cancer-fighting tools.
Exploring Gene Expression Biomarker Candidates for Neurobehavioral Impairment from Total Sleep Deprivation
First author: Hilary A. Uyhelji
A recent report in Biomedical Genomics presented novel candidate biomarkers associated with lapses of attention during total sleep deprivation (TSD). The Oklahoma City-based team used QIAGEN IPA to explore molecular pathways and networks based on previously published gene interactions and found that 212 genes changed expression while responding to the TSD treatment. This supports previous TSD-associated findings, and also points to immune response and ion signaling. The report confirms that “analysis of these genes may aid fundamental understanding of the impact of TSD on neurobehavioral performance.”
Prostate Cancer Susceptibility Gene HIST1H1A is a Modulator of Androgen Receptor Signaling and Epithelial to Mesenchymal Transition
First author: Kendra A. Williams
Prostate cancer is one of the most commonly diagnosed male cancers. A cohort of scientists in Maryland set out to decipher the functional role of the HIST1H1A gene in the development of aggressive prostate cancer, using QIAGEN’s IPA to analyze omics data. This helped them to conclude that HIST1H1A expression is significantly suppressed in human prostate adenocarcinoma compared to its normal counterpart. They also determined that systems genetics can be used to show how hereditary variation influences the susceptibility to aggressive prostate cancer. The results of this study—published in Oncotarget—have provided a clearer understanding of the mechanisms that underlie aggressive development of prostate cancer, which in turn will aid researchers to develop better options for treatment.
If QIAGEN’s IPA is helping you make strides in your research, we would love to hear about it. Please contact us to share your story, or just to request a free trial!
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