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).

• Development of a pediatric immune cell atlas and characterization of CD4+ T cells in food allergy.

  PMID 42025535 · PMC13105851 · Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2026 · 8 claims · 8 setups

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  A pediatric single-cell PBMC reference atlas was developed from 57 healthy children across 8 public scRNA-seq studies.

  pbmcs cd3+ cd4+ memory scrna-seq pseudobulk bulk

• First report of an HIV-1 triple recombinant of subtypes B, C and F in Buenos Aires, Argentina.

  PMID 16959032 · PMC1570496 · Retrovirology · 2006 · 8 claims · 6 setups

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  Nearly full-length sequencing of 10 HIV-1 seroincident MSM samples revealed 6 subtype B, 3 unique BF recombinants, and 1 novel B/C/F triple recombinant

  pbmcs assembled hiv-1 triple nearly phylogenetic bootscan

• DNA methylation profiles at hospital admission are associated with subsequent severe COVID-19 outcomes.

  PMID 42021404 · PMC13251264 · Clinical epigenetics · 2026 · 7 claims · 5 setups

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  DNA methylation profiles at hospital admission differ among disease trajectory groups (TGs) and are associated with subsequent disease progression.

  pbmcs blood immune end-stage targeted rna-seq mass

• FLASH-MM: fast and scalable single-cell differential expression analysis using linear mixed-effects models.

  PMID 41644528 · PMC12982622 · Nature communications · 2026 · 8 claims · 6 setups

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  FLASH-MM produces LMM parameter estimates identical to lmer (lme4) up to the sixth decimal place while being 50- to 140-fold faster as sample size increases from 20,000 to 120,000 cells

  simulated same healthy female-biased simulated comparative single-cell

• Single-Cell Multi-Tissue T Cell Clonal Dynamics Reveal Distinct Immune Coercion Landscapes in MSI and MSS Colorectal Cancer.

  PMID 41898550 · PMC13027115 · International journal of molecular sciences · 2026 · 8 claims · 5 setups

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  Immunotherapy response in CRC is better explained by TCR clonal dynamics (expansion, migration, functional transitions) than by MSI status alone

  crc single high-quality cd4+ scrna-seq tcr pseudotime

• Progressive transformation of the HIV-1 reservoir cell profile over two decades of antiviral therapy.

  PMID 36596305 · PMC9839361 · Cell host & microbe · 2023 · 8 claims · 8 setups

  Has reproduction · 80

  After ~2 decades of ART, intact HIV-1 proviruses are predominantly integrated in heterochromatin, especially centromeric/peri-centromeric satellite and micro-satellite DNA

  pbmc single cd4 pbmc-derived flip-seq mip-seq prip-seq

• Cell type-specific eQTL analysis of COVID-19 based on single-cell transcriptomic data.

  PMID 41064594 · PMC12501775 · NAR genomics and bioinformatics · 2025 · 8 claims · 8 setups

  Has reproduction · 51

  Single-cell eQTL analysis across eight immune cell types identified 2593 genes whose expression is significantly associated with common genetic polymorphisms, with most genes showing cell type-specific effects

  pbmcs eight pbmc monocytes scrna-seq genetic cis-eqtl

• Context-specific regulatory genetic variation in MTOR dampens neutrophil-T cell crosstalk in pneumonia-associated sepsis.

  PMID 41741465 · PMC13057173 · Nature communications · 2026 · 8 claims · 7 setups

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  The MTOR eQTL variant rs4845987 has context-specific, opposite effects on MTOR expression: decreasing it in activated T cells and increasing it in neutrophils.

  blood bulk eqtl sepsis bulk cell-type colocalisation

• Systematic clustering algorithm for chromatin accessibility data and its application to hematopoietic cells.

  PMID 33253153 · PMC7728210 · PLoS computational biology · 2020 · 7 claims · 5 setups

  Has reproduction · 90

  A systematic clustering algorithm for ATAC-seq data can be built by binarizing the genome into open/closed chromatin (1/0) strings and computing Hamming distances between samples for hierarchical clustering.

  monocytes natural hematopoietic leukemia atac-seq hierarchical