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).
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Has reproduction · 75
Single-cell multiomics analysis of chronic myeloid leukemia links cellular heterogeneity to therapy response.
PMID 39503729 · PMC11540304 · eLife · 2024 · 8 claims · 5 setups
CITE-seq multiomics reveals that each CML patient harbors a unique composition of stem and progenitor cells at diagnosis
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A comprehensive proteomics and genomics analysis reveals novel transmembrane proteins in human platelets and mouse megakaryocytes including G6b-B, a novel immunoreceptor tyrosine-based inhibitory motif protein.
PMID 17186946 · PMC1860054 · Molecular & cellular proteomics : MCP · 2007 · 8 claims · 8 setups
Three complementary membrane-enrichment proteomic methods (lectin affinity, biotin/NeutrAvidin affinity, free flow electrophoresis) combined with LC-MS/MS identify 136 transmembrane proteins in human platelets, including many novel ones.
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Has reproduction · 70
MACanalyzeR scRNAseq analysis tool reveals PPARγ(HIGH)/GDF15(HIGH) lipid-associated macrophages facilitate thermogenic expansion in BAT.
PMID 40450001 · PMC12126529 · Nature communications · 2025 · 8 claims · 8 setups
MACanalyzeR is a novel computational scRNAseq framework (with FoamSpotteR, MacPolarizeR, and PathAnalyzeR modules) for comprehensive monocyte/macrophage metabolic and phenotypic profiling
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Has reproduction · 90
Prioritized mass spectrometry increases the depth, sensitivity and data completeness of single-cell proteomics.
PMID 37012480 · PMC10172113 · Nature methods · 2023 · 8 claims · 5 setups
pSCoPE (prioritized precursor selection via MaxQuant.Live) increases sensitivity, data completeness, and proteome coverage more than twofold over shotgun single-cell proteomics
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Improvements to cardiovascular gene ontology.
PMID 19046747 · PMC2706316 · Atherosclerosis · 2009 · 8 claims · 8 setups
Gene Ontology (GO) provides a controlled vocabulary that links current functional knowledge of genes to high-throughput genomic and proteomic datasets, aiding data interpretation.