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).

• Emergence of recombinant forms of HIV: dynamics and scaling.

  PMID 17967052 · PMC2041978 · PLoS computational biology · 2007 · 7 claims · 5 setups

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  A detailed mathematical model incorporating multiple cell infections and recombination quantitatively captures experimental observations of recombinant HIV emergence dynamics in vitro

  cd4+ scid-hu splenocytes computational single-round replication-competent proviral

• CTCF binding site classes exhibit distinct evolutionary, genomic, epigenomic and transcriptomic features.

  PMID 19922652 · PMC3091324 · Genome biology · 2009 · 8 claims · 8 setups

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  CTCF binding sites can be classified into three occupancy-based classes (LowOc, MedOc, HighOc) based on similarity to the CTCF PWM motif

  cd4+ hela imr90 embryonic chip-seq computational gene

• Inter-individual variation of DNA methylation and its implications for large-scale epigenome mapping.

  PMID 18413340 · PMC2425484 · Nucleic acids research · 2008 · 8 claims · 8 setups

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  CpG-rich regions (CpG islands) show low and similar methylation levels across individuals, but the sequential order of the few methylated CpGs among the many unmethylated ones varies randomly between individuals.

  cd4+ computational hep direct simulation epigraph

• G-quadruplexes in promoters throughout the human genome.

  PMID 17169996 · PMC1802602 · Nucleic acids research · 2007 · 8 claims · 6 setups

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  Promoter regions (1 kb upstream of TSS) are significantly enriched in quadruplex motifs (PQS) relative to the rest of the genome

  genome quiescent gene synthetic computational nuclease gene

• Genome-wide identification of in vivo protein-DNA binding sites from ChIP-Seq data.

  PMID 18684996 · PMC2532738 · Nucleic acids research · 2008 · 8 claims · 7 setups

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  SISSRs identifies binding sites from ChIP-Seq short reads with much higher resolution than the standard region-clustering approach

  cd4+ jurkat hela computational chip-seq novo motif

• Systems biology and the host response to viral infection.

  PMID 18066032 · PMC7097743 · Nature biotechnology · 2007 · 8 claims · 8 setups

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  Systems biology integration of 'omics data (transcriptomics, proteomics, genomics) with computational modeling is needed to fully understand virus-host interactions and identify novel antiviral targets

  lung cd4 rhesus kshv microarray quantitative genomic

• DeepRNA-Reg: a deep-learning based approach for comparative analysis of CLIP experiments.

  PMID 41055236 · PMC12505516 · RNA biology · 2025 · 8 claims · 5 setups

  Has reproduction · 100

  DeepRNA-Reg, a recurrent neural network-based algorithm, provides a superior prediction set for differential HITS-CLIP analysis compared to dCLIP.

  dgcr8 mir-23 predicted ago2 gene flow

• Identification of novel DNA sequence motifs that modulate transcription in T cells.

  PMID 41514212 · PMC12879379 · BMC genomics · 2026 · 8 claims · 8 setups

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  Identified 2,036 novel DNA motifs enriched in regulatory regions of T-cell-specific genes

  t-cell non-t-cell cd4+ sequences rna-seq dnase-seq h3k27ac

• Gene-expression patterns in peripheral blood classify familial breast cancer susceptibility.

  PMID 26538066 · PMC4634735 · BMC medical genomics · 2015 · 8 claims · 7 setups

  Has reproduction · 83

  A multigene expression biomarker from PBMCs accurately classifies familial breast cancer (FBC) status

  pbmcs utah blood normal microarray svm-rfe svm

• Metabolic quiescence of naive-like memory T cells precedes and maintains antigen-specific T cell memory.

  PMID 41735532 · PMC12956582 · Nature immunology · 2026 · 8 claims · 8 setups

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  CD8+ T cells upregulate glycolysis to fuel anabolic needs for proliferation but predominantly use oxidative phosphorylation (OXPHOS) for energy production during the acute phase (days 7-28) after YFV vaccination

  peripheral cd8+ ns4b+ antigen-specific flow scrna-seq cite-seq

• Reverse Engineering of the Pediatric Sepsis Regulatory Network and Identification of Master Regulators.

  PMID 34680414 · PMC8533457 · Biomedicines · 2021 · 7 claims · 8 setups

  Has reproduction · 67

  A set of 15 TFs was identified as sepsis-specific master regulators of pediatric sepsis, dividing into two non-overlapping clusters.

  blood cd4+ pbmc regulons microarray differential master