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).

• A multi-omic single-cell landscape of perinatal mouse skin maps lineage specification and reveals shared dynamics in human fetal skin.

  PMID 41998142 · PMC13144478 · Experimental & molecular medicine · 2026 · 7 claims · 8 setups

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  Integrated scATAC/scRNA multi-omics analysis of developing mouse skin identifies gene network axes underlying skin lineage specification

  dorsal scrna-seq skin fibroblast scatac-seq scrna-seq spatial

• Development of double-positive thymocytes at single-cell resolution.

  PMID 33771202 · PMC8004397 · Genome medicine · 2021 · 7 claims · 8 setups

  Has reproduction · 86

  DP thymocytes can be classified into blast, rearrangement, and selection subtypes, distinguishable by surface markers CD2 and Ly6d

  thymocytes sorted thymocyte scrna-seq flow immunofluorescence

• Heterochronic transcription factor expression drives cone-dominant retina development in 13-lined ground squirrels.

  PMID 41649260 · PMC12880807 · eLife · 2026 · 8 claims · 8 setups

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  13LGS cone photoreceptors arise from both early-stage and late-stage neurogenic progenitors, unlike mice where cones arise only from early-stage progenitors

  13-lined retina 13lgs retinal single-cell scrna-seq chromvar

• Dissecting gene regulatory networks governing human cortical cell fate.

  PMID 41565813 · PMC12999477 · Nature · 2026 · 8 claims · 6 setups

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  ZNF219, a previously uncharacterized transcription factor, represses neural differentiation in human cortical radial glia

  cortical rhesus single-cell scrna-seq immunocytochemistry

• Benchmarking LLM-based agents for single-cell omics analysis.

  PMID 41742311 · PMC13064268 · Genome biology · 2026 · 8 claims · 8 setups

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  Introduces a comprehensive benchmarking evaluation system comprising an open-source agent platform, 18 evaluation metrics across four dimensions, and 50 real-world single-cell omics tasks

  agent single-cell spatial scatac-seq llm-agent scrna-seq spatial

• Evaluating the Utilities of Foundation Models in Single-Cell Data Analysis.

  PMID 41869863 · PMC13170260 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026 · 8 claims · 8 setups

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  Among ten/eleven evaluated single-cell FMs, scGPT, Geneformer, and CellFM are the top models considering both performance and user accessibility

  scrna-seq unpaired single-cell scgpt batch multi-omic cell-type

• Hi-Compass: a depth-aware deep learning framework for predicting cell-type-specific 3D genome organization from single-cell to spatial resolution.

  PMID 41980945 · PMC13250166 · Nature communications · 2026 · 8 claims · 8 setups

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  Hi-Compass predicts cell-type-specific Hi-C contact maps using only ATAC-seq as cell-type-specific input, plus DNA sequence and a generalized CTCF binding profile

  gm12878 curated bulk training hi-c ctcf matched