Check out these recent articles citing Biomedical Genomics Workbench, a comprehensive, highly accurate NGS data analysis platform, providing researchers with a user-friendly, customizable human hereditary disease and cancer analysis solution for biomarker discovery and validation. Below are a few examples of how researchers from Pennsylvania to Japan are using Biomedical Genomics Workbench to accelerate their research.
Relaxin Reverses Inflammatory and Immune Signals in Aged Hearts
First author: Brian Martin
A team based out of the University of Pennsylvania studied the cardiovascular benefits of relaxin—a pregnancy hormone—on both young and old rats to determine its effects on the heart’s aging process. They extracted RNA and analyzed genomic changes, importing raw transcript data into Biomedical Genomics Workbench and mapping reads to the rat reference genome. The study, which ran in PLOS ONE, concluded that relaxin both alters gene transcription and suppresses inflammatory pathways and genes associated with heart failure and aging. This has therapeutic potential for cardiovascular and inflammation-related diseases, such as heart failure, diabetes and atrial fibrillation.
Comparison of Genetic Profiling of Primary Central Nervous System (CNS) Lymphoma Before and After Extra-CNS Relapse
First author: Kosuke Toyoda
In 2017, a team of Japanese scientists studied the mechanism of chemotherapy resistance in lymphomas of the CNS (central nervous system), which were previously identified as promising targets for immune checkpoint blockade therapy. They performed comprehensive genomic analysis in the hope of better understanding tumor oncogenic evolution and overcoming the immune privilege. The team compared the impact of extra-CNS relapse, using Biomedical Genomics Workbench to call variants. Their report, which ran in Blood Journal, suggested that the evolution of mutations enabled systemic disease progression with a breakthrough of immune privilege, characterized by immunological overpowering and the dysregulation of B-cell proliferation signaling.
Assessing the GeneRead SNP for Analysis of Low-Template and PCR-Inhibitory Samples
First author: Maja Sidstedt
When forensic DNA laboratories use massive parallel sequencing for human identification purposes, chances are good that the DNA samples are heterogeneous and of varying quality. SNP assays must therefore be able to handle impurities and low amounts of DNA. Using Biomedical Genomics Workbench to analyze sequencing data, a Swedish team evaluated the GeneRead Individual Identity SNP panel, which handled multiple extraction methods and withstood inhibitor solutions and was concluded to be satisfactory for casework-like samples. Read about the study, which ran in PLOS ONE in January this year, here.
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