Experiments

Searchable full-text extractions: founding hypothesis, core claims, experimental setups, key results and statistics — pulled out of each paper as structure. Search a cell line, an assay or an entity (e.g. HUH7) and find every paper that worked with it. This corpus stands on its own: most entries carry no reproduction assessment (yet).

• Comparison between short-term stress and long-term adaptive responses reveal common paths to molecular adaptation.

  PMID 35243257 · PMC8873613 · iScience · 2022 · 8 claims · 7 setups

  Has reproduction · 59

  Short-term stress and long-term adaptations share common metabolic pathways

  great embryonic gef mapk1 bulk gene transcription

• Identifying Molecular Subtypes and 6-Gene Prognostic Signature Based on Hypoxia for Optimizing Targeted Therapies in Non-Small Cell Lung Cancer.

  PMID 35509605 · PMC9058021 · International journal of general medicine · 2022 · 8 claims · 8 setups

  Has reproduction · 59

  NSCLC samples can be classified into two molecular subtypes (C1 and C2) based on hypoxia-related gene expression via consensus clustering

  tcga-nsclc geo bulk microarray unsupervised

• Mouse placentae generated by in vitro fertilization exhibit altered gene expression, activated hypoxia responses, and reduced fitness†.

  PMID 40874534 · PMC12808545 · Biology of reproduction · 2026 · 6 claims · 6 setups

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  IVF-conceived mouse placentae exhibit global and cell type–specific gene expression differences compared to FB placentae

  e12.5 differentially trophoblast placenta single-nucleus pseudobulk pathway

• Single-cell transcriptomics of acetaminophen-induced responses in human 2D and 3D liver microtissues.

  PMID 41535591 · PMC13043593 · Archives of toxicology · 2026 · 8 claims · 7 setups

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  3D liver spheroids exhibit greater transcriptional diversity and elevated ribosomal gene expression compared to 2D monolayers

  monolayer spheroid pooled single single-cell reactome hypoxia

• Improvements to cardiovascular gene ontology.

  PMID 19046747 · PMC2706316 · Atherosclerosis · 2009 · 8 claims · 8 setups

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  Gene Ontology (GO) provides a controlled vocabulary that links current functional knowledge of genes to high-throughput genomic and proteomic datasets, aiding data interpretation.

  coronary phospholamban mammalian lines gene expression large-scale