ArticleiScience2025
Chromosome-segment scanning for gain- or loss-of-function screening (CHASING).
Article in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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Authors and funding
8 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Identifying beneficial or functional mutations for a specific species is a task always relies on the labor-intensive construction of a library containing thousands of single-gene knockout or interference strains. Here, we systematically demonstrated that the task could be done by constructing a genome-scale library, designed by AutoGSL, containing a limited number of large fragment deletion strains. The loss-of- and gain-of-function phenotypes could be efficiently screened out by our chromosome-segment scanning, and the specific gene corresponding to an observed phenotype could be quickly identified and visualized by our computer-aided gene-annotation web tool. Additionally, a Clusters of Orthologous Gene Transformer learned representations were transferred to predict growth phenotypes of the genome-scale library under varying conditions. We further utilized our chromosome segment scanning for gain- or loss-of-function screening (CHASING) strategy to obtain acetoin- and lycopene-overproducing hosts. Our work highlighted the significance of CHASING in functional genomics investigation, robust chassis engineering, and chemical overproduction.
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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 OpenQuestion graph.