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Characterization of fibrotic niches around CSF-1R treated glioma tissues
Background and Significance: The study investigates the fibrotic response to anti-CSF-1R therapy in glioblastoma, a highly aggressive brain tumor with a poor prognosis. Despite standard treatments like surgery, chemotherapy, and radiation, glioblastomas almost always recur. This study explores an alternative strategy targeting tumor-associated macrophages and microglia through CSF-1R inhibition. Previous research showed that this approach…
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Integrative Spatial Multi-Omic Mapping of Human Myocardial Infarction
Background and Significance: Myocardial infarction (MI) remains a leading cause of death globally. Despite advancements in acute treatment, the understanding of cardiac remodeling processes post-MI is incomplete, limiting the effectiveness of therapies aimed at reducing late-stage mortality. This study by Kuppe et al, aims to generate a high-resolution, integrative map of human cardiac remodeling post-MI…
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Deciphering Hodgkin’s lymphoma using spatial multi-omics
Spatial multi-omics provides granular insights into the localization of transcripts and proteins in specimens. In the current study, Maryam Pourmaleki and her colleagues investigated the heterogeneity and tumor microenvironment of classic Hodgkin lymphoma (cHL). They characterized patient-derived specimens using spatially resolved multiplexed protein imaging and transcriptomic sequencing. Background: The study involved patient specimens derived from…
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Spatial omics overview
Spatial multi-omics analysis has rapidly gained prominence bioscience research. It is an advanced technique that allows for the comprehensive analysis of multiple molecular data types (such as transcriptome, epigenome, proteome, and metabolome) within their native spatial context in tissues (1). This approach enables researchers to study the spatial organization and interactions of cells within tissues,…
Amins bioinformatics and ML blog
Discuss cutting edge use of bioinfomatics and AI in biosciences