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 Transcriptomic Atlases of Camels and Cattle Unravel Molecular Evolution of Digestive and Metabolic Systems.

  PMID 41632085 · PMC13067795 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026 · 8 claims · 7 setups

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  Generated single-cell/nucleus transcriptomic atlases of camels and cattle across 54 tissues, identifying 124 cell types (78 in camels, 106 in cattle, 59 shared)

  camel bovine structural orthologous scrna-seq spatial scenic

• Tree shrew immune cell atlas identifies NR1H3⁺ tissue macrophages with conserved anti-inflammatory function.

  PMID 41957356 · PMC13223331 · Nature communications · 2026 · 8 claims · 8 setups

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  A single-cell/single-nucleus RNA-seq atlas across 12 tree shrew tissues identifies 39 distinct immune and non-immune cell types, providing a reference resource for tree shrew immunology

  tree single-cell scrna-seq cross-species functional

• Transcription and potential functions of a novel XIST isoform in male peripheral glia.

  PMID 41386982 · PMC12863056 · Genome research · 2026 · 8 claims · 8 setups

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  XIST is robustly expressed in male peripheral glia, particularly nonmyelinating Schwann cells, across human heart and skeletal muscle tissue.

  heart skeletal atlas peripheral scrna-seq aggregated scatac-seq

• scDenorm: a denormalization tool for integrating single-cell transcriptomics data.

  PMID 41915012 · PMC13142155 · GigaScience · 2026 · 8 claims · 7 setups

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  Inconsistent delta-method normalization across datasets introduces biases (e.g., B-cell separation) that persist even after integration with Harmony, scanorama, or BBKNN.

  10x brain ucsc datasets scrna-seq integration snrna-seq

• S3RL: Enhancing Spatial Single-Cell Transcriptomics With Separable Representation Learning.

  PMID 41556263 · PMC13042551 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026 · 8 claims · 8 setups

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  S3RL is a separable representation learning framework that denoises sparse spatial transcriptomic data and enhances biologically relevant signals by integrating gene expression, spatial coordinates, and histological image features.

  dorsolateral dlpfc nanostring spatial cell-type multi-platform

• Classification of ALS molecular subtypes: a literature review on machine learning applications and their clinical value.

  PMID 41731547 · PMC13037183 · BMC medicine · 2026 · 8 claims · 5 setups

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  Unsupervised ML analysis of ALS transcriptomes consistently identifies molecular subtypes reflecting distinct biological processes, primarily oxidative stress (ALS-Ox) and glial activation/neuroinflammation (ALS-Glia), found in every study reviewed.

  post-mortem peripheral bulk rna-seq blood