ReviewJournal of microbiology (Seoul, Korea)2026
Synthetic rescue in Saccharomyces cerevisiae: Concepts, large-scale genetic mapping, and functional implications.
Review in Journal of microbiology (Seoul, Korea), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Prophase roles of replication protein A in crossover formation and meiotic progression.Journal of microbiology (Seoul, Korea) · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Synthetic rescue (SR) describes a genetic interaction in which the deleterious effect of a primary mutation is compensated by a second mutation, restoring cellular function or viability. In Saccharomyces cerevisiae, SR complements synthetic lethality (SL) by revealing compensatory mechanisms that maintain essential biological processes. Classical studies established SR as a fundamental principle of genetic robustness in yeast. Subsequent development of high-throughput genetic tools, including Synthetic Genetic Array (SGA), Epistatic Miniarray Profile (E-MAP), and CRISPR interference (CRISPRi), has enabled systematic identification of SR interactions across pathways of genome maintenance, proteostasis, and metabolism. Integration of these experimental datasets with computational and network-based analyses has transformed SR research from descriptive genetics into a predictive framework. Databases such as BioGRID, TheCellMap, and Mslar further support SR inference and link yeast genetic networks to human disease models. Understanding SR has important translational implications. The same compensatory logic that restores viability in yeast can explain therapeutic resistance in cancer cells. Together, these insights reveal SR as a powerful concept connecting microbial genetics with systems medicine, emphasizing that robustness and resilience are dynamic properties of living systems.
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Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.