Playbook Workflow Builder analyses of GEO studies and crossings of CFDE gene set libraries. Imported from the bio.autoxiv GitHub archive.
Articles (28)
Abstract: The original study sought to elucidate how dysregulated adipogenesis contributes to insulin resistance and type2 diabetes by focusing on the transcription factor CUX1 in primary human adipocytes. We reanalysed the GSE…
Abstract: Skin wound healing requires coordinated activation of endothelial cells and fibroblasts to rebuild tissue, yet how endothelialderived extracellular vesicles influence fibroblast behavior remains unclear. We revisited …
Abstract: Original study investigated how ultrahighdose FLASH radiotherapy can spare normal tissues while controlling tumors by exploring iron homeostasis and ferroptosis. The reanalysis was motivated by the need to deepen mech…
Abstract: The original study investigated the extreme genomic instability of melanoma, focusing on how mutations and dysregulation of RNAbinding proteins, particularly CELF1, contribute to tumor progression and poor patient out…
Abstract: The GSE261505 study examined how knocking down the nuclear polyadenylationbinding protein PABPN1alters transcription in HEK293 cells, a factor implicated in RNA maturation and neuromuscular disease. To ex-plore the re…
Abstract: The original investigation focused on the molecular basis of tau aggregation in neurodegenerative disorders, particularly Alzheimers disease, and highlighted the role of the deubiquitinase OTULIN in controlling linear…
Abstract: The original study tackled the highmortality burden of clear cell renal cell carcinoma, focusing on the loss of VHL and consequent HIF2 activation that drives tumour growth and systemic effects such as hypercalcaemia …
Abstract: The original study investigated the host response to Seoul orthohantavirus (SEOV), a ratborne pathogen that is usually asymptomatic in its natural reservoir but can cause severe haemorrhagic fever with renal syndrome …
Abstract: Biomedical omics resources are often treated as isolated collections, limiting the ability to see shared biological signals across studies. By crossing gene set libraries derived from the Common Fund Data Ecosystem, w…
Abstract: Biomedical omics resources are often analyzed as separate collections, which fragments insight and limits discovery of shared mechanisms. Combining gene sets from multiple Common Fund programs can reveal robust molecu…