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).

• SELDI-TOF proteomic profiling of breast carcinomas identifies clinicopathologically relevant groups of patients similar to previously defined clusters from cDNA expression.

  PMID 18644101 · PMC2481502 · Breast cancer research : BCR · 2008 · 7 claims · 3 setups

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  SELDI-TOF MS proteomic profiling of breast carcinomas identifies patient subgroups with differential co-expression of protein peaks that are analogous to gene-expression-based classifications (luminal, basal, HER2 subtypes)

  breast seldi-tof hierarchical biomarker

• A ligand-centered framework for γδ T cell activation in colorectal cancer revealed by single-cell and transformer-based perturbation.

  PMID 41607803 · PMC12835328 · Frontiers in immunology · 2025 · 8 claims · 8 setups

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  CRC-infiltrating γδ T cells show varied activation levels, with the TRM-like population being the major tumor-infiltrating subtype and exhibiting the lowest effector and exhaustion signature scores.

  crc-infiltrating crc scrna-seq gene nichenet

• Single-nucleus multiome analysis in the human prefrontal cortex identifies gene expression and cis-regulatory elements associated with aging.

  PMID 41832957 · PMC13137218 · Cell reports · 2026 · 8 claims · 8 setups

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  Generated a single-nucleus multiome (snATAC + gene expression) dataset from 357 human dorsolateral prefrontal cortex samples (ages 15-100, European and African admixed ancestry), yielding over 1.5 million cells as a public resource.

  postmortem million+ pfc each single-nucleus umap pseudobulk

• MALDI profiling of human lung cancer subtypes.

  PMID 19890392 · PMC2767501 · PloS one · 2009 · 8 claims · 8 setups

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  PIMAC/MALDI-TOF peptide profiles combined with classification models can distinguish normal lung from tumor and differentiate NSCLC histological subtypes

  lung tryptic peak ffpe maldi-tof parallel stepwise