BostonGene - Bioinformatic Technology
The BostonGene platform integrates informatics, genomics, transcriptomics, and microenvironment analysis to empower personalized decisions and the delivery of optimized therapeutics.
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Molecular cancer diagnosis
The BostonGene Tumor Portrait™ Test depicts tumor activity, cellular composition, the immune microenvironment, and other associated processes to identify activated or suppressed pathways within tumors to guide therapeutic decision-making.
Accurate measurement of expression of more than 100,000 transcripts and 20,000 genes, including splice variants, with RNA-Seq.
Tumor antigenicity is measured by calculating the expression of neoantigenic peptides in mutated and fusion proteins.
NGS-driven analysis of each sample’s mutational profile aims to determine the number of tumor clones and their ratios. Understanding tumor clonal composition can detect resistance mutations ahead of time and prevent disease regression.
TCR/BCR repertoire profiling
BostonGene cancer reactive profiling of T and B cells immune cell repertoire in the tumor microenvironment in solid cancer as well as the identification of major malignant clones of T and B cells in hematological malignancies leads to a better understanding of tumor progression and evolution.
Analyzing functional and transcriptomic effects of genomic alterations by utilizing complete spectrum of protein-protein interactions in a comprehensive map of signaling pathways.
Virus & Bacteria infection detection
BostonGene detects cancer-associated viral or bacterial infections as these are incredibly important for diagnostics and therapy selection.
Using tumor and matched-normal samples, whole-exome sequencing detects point mutations, insertions, copy number alterations, tumor mutational burden (TMB), homologous recombination deficiency (HRD), genomic instability, and loss of heterozygosity (LOH).
BostonGene reconstructs the tumor microenvironment using the Kassandra algorithm, capable of calculating the cellular composition of the tumor microenvironment from bulk RNA-Seq data.
Detecting novel and recurrent gene fusions.
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