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).

• Single-Cell Transcriptome Analysis Revealed Heterogeneity and Identified Novel Therapeutic Targets for Breast Cancer Subtypes.

  PMID 37190091 · PMC10137100 · Cells · 2023 · 8 claims · 8 setups

  Has reproduction · 54

  Single-cell transcriptomic analysis of EPCAM+Lin- epithelial cells identified unique gene signatures/markers that distinguish ER+, HER2+, ER+HER2+, and TNBC molecular subtypes

  breast epcam+cd45-cd8a-cd4-cd19-cd3e cancer identified single-cell differential crispr-cas9

• SPRR1B+ keratinocytes prime oral mucosa for rapid wound healing via STAT3 activation.

  PMID 39300285 · PMC11413210 · Communications biology · 2024 · 8 claims · 8 setups

  Has reproduction · 78

  A shared wound healing gene set (P2-WHGs, 146 genes) is constitutively expressed in uninjured oral mucosa but not in uninjured skin

  injured normal p2-whgs oral bulk single-cell gene

• Analysis of Tumor-Infiltrating T-Cell Transcriptomes Reveal a Unique Genetic Signature across Different Types of Cancer.

  PMID 36232369 · PMC9569723 · International journal of molecular sciences · 2022 · 8 claims · 8 setups

  Has reproduction · 87

  Common genes shared across five cancer types differ from those found in nonmalignant tissue-resident T-cells for each subset (CD4-T, CD8-T, Treg)

  breast lung colorectal melanoma single-cell gene reactome

• Motif discovery in promoters of genes co-localized and co-expressed during myeloid cells differentiation.

  PMID 19059999 · PMC2632922 · Nucleic acids research · 2009 · 6 claims · 8 setups

  Full-text index only

  A novel multi-step computational method (built on approximate pattern enumeration, binomial over-representation scoring with FDR correction, and k-medoids clustering) can identify over-represented motifs in a selected set of promoters relative to a background promoter set.

  myeloid reference selected genome-localized microarray promoter k-medoids