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Abstract Determining a gene’s functional importance within a cellular context has long been a challenge, as absolute expression level is an unreliable indicator. Here we introduce SIGnature, a framework for scoring gene importance using attributions derived from single-cell RNA-sequencing (scRNA-seq) foundation models. Attribution scores reduce technical noise, emphasize regulatory genes and facilitate cross-dataset comparison—a core challenge for scRNA-seq analyses.
Keywords copy-number variation adaptive evolution myosin heavy chain species pairs contemporary evolution stickleback Gasterosteus aculeatus microhomology-mediated break-induced replication non-allelic homologous recombination Introduction Copy-number variations (CNVs) are the most abundant type of variation in vertebrate genomes by total base pairs affected1 and make up approximately 12% of the human genome.2 CNVs can change the structure of genes at breakpoints or alter the levels of...
Myeloid suppressive cells enter the arena Patients with bacterial sepsis or severe COVID-19 have increased numbers of suppressive myeloid cells in their blood. Reyes et al. now show that similar cells can be induced by treatment of healthy human bone marrow progenitor cells in culture with plasma from patients with bacterial sepsis or severe COVID-19.
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