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).
-
Full-text index only
The application of genomic technology to combat parasitic disease.
PMID 16454893 · PMC1914215 · Parasitology · 2004 · 8 claims · 8 setups
Genomic resources from mammalian hosts can be exploited to understand parasitic processes from the host's standpoint, illustrated by host cell penetration by Trypanosoma cruzi.
-
Has reproduction
Predicting favorable landing pads for targeted integrations in Chinese hamster ovary cell lines by learning stability characteristics from random transgene integrations.
PMID 33304461 · PMC7710658 · Computational and structural biotechnology journal · 2020 · 7 claims · 6 setups
Expression stability in CHO cell lines is controlled at three levels: choice of integration site, integrity/concatemerization pattern of the transgene, and stress-related cellular processes.
-
Full-text index only
With the finished human genome in hand, what next?
PMID 12844356 · PMC193627 · Genome biology · 2003 · 8 claims · 8 setups
Gene Ontology (GO) provides a syntax/query framework for functional classification of genes, expanding beyond E. coli origins into anatomy, pathology, and phenotype data.
-
Full-text index only
Genomic and proteomic techniques applied to reproductive biology.
PMID 11574051 · PMC138959 · Genome biology · 2001 · 8 claims · 8 setups
Knockout of the E6-AP (UBE3A) gene reduces testis and prostate size in male mice and compromises estradiol action in females
-
Full-text index only
Synonymous substitution rates predict HIV disease progression as a result of underlying replication dynamics.
PMID 17305421 · PMC1797821 · PLoS computational biology · 2007 · 8 claims · 8 setups
The synonymous substitution rate (dS) of HIV env is strongly correlated with disease progression parameters (progression time, CD4+ decline rate, viral load increase rate), unlike the nonsynonymous rate (dN).