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).

• Spatial perturb-seq: single-cell functional genomics within intact tissue architecture.

  PMID 41723140 · PMC13035813 · Nature communications · 2026 · 8 claims · 8 setups

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  Spatial Perturb-Seq simultaneously measures whole transcriptome (cell type), CRISPR barcodes (perturbation), spatial coordinates, and cell-cell interactions through a single Stereo-seq and/or Xenium run.

  hippocampus bone brain aav-transduced scrna-seq snrna-seq spatial

• 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

• Isoform-specific single-cell perturb-seq reveals distinct functions of alternative promoters in drug response.

  PMID 41728950 · PMC12926921 · Nucleic acids research · 2026 · 5 claims · 8 setups

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  CRISPR-dCas9-based screens exhibit widespread promoter specificity, with untargeted promoters often showing compensatory upregulation to maintain overall gene expression

  mcf-7 rpe1 mcf-7-dcas9 tissue-wide isoform-specific reanalysis qrt-pcr

• Atlas-guided discovery of transcription factors for T cell programming.

  PMID 41639465 · PMC13017511 · Nature · 2026 · 8 claims · 8 setups

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  A multi-omics atlas (Taiji pipeline) integrating RNA-seq and ATAC-seq across nine CD8+ T cell states can predict TF activity and identify state-selective versus multi-state TFs

  cd8+ lcmv p14 c57bl rna-seq pearson crispr

• Scalable cell-specific coexpression networks for granular regulatory pattern discovery with NeighbourNet.

  PMID 41786602 · PMC13138013 · Genome research · 2026 · 7 claims · 5 setups

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  NNet uses PCA embedding followed by local KNN regression in PC space to construct cell-specific coexpression networks (CSNs), improving computational efficiency and estimate stability versus pairwise approaches.

  pbmc thp-1 lin small scrna-seq perturb-seq

• Embeddings from language models are good learners for single-cell data analysis.

  PMID 41726097 · PMC12921509 · Patterns (New York, N.Y.) · 2026 · 8 claims · 8 setups

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  scELMo combines LLM-derived embeddings of gene and cell metadata with raw single-cell expression data via matrix operations to generate cell embeddings without pretraining a new model

  scrna-seq multi-batch diseased perturbation clustering batch cell-type