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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Full-text index only
Integrated multi-level quality control for proteomic profiling studies using mass spectrometry.
PMID 19055809 · PMC2657802 · BMC bioinformatics · 2008 · 7 claims · 5 setups
QC processes for identifying and removing low-quality spectra are often overlooked in proteomic profiling studies
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Has reproduction · 67
Adaptive learning embedding features to improve the predictive performance of SARS-CoV-2 phosphorylation sites.
PMID 37847658 · PMC10628388 · Bioinformatics (Oxford, England) · 2023 · 7 claims · 3 setups
PSPred-ALE, a deep learning predictor using a self-adaptive learning embedding algorithm, automatically extracts contextual sequence features and identifies SARS-CoV-2 phosphorylation sites without feature engineering.
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Has reproduction · 37
Antigen and checkpoint receptor engagement recalibrates T cell receptor signal strength.
PMID 34534438 · PMC8585507 · Immunity · 2021 · 6 claims · 7 setups
TCR signal strength drives dynamic, dose- and time-dependent transcriptional changes in CD4+ T cells while single-cell Nr4a3 activation dynamics remain digital/uniform.
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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