# GO and PPK-regulated pathways

**URL:** <https://community.alliancegenome.org/t/go-and-ppk-regulated-pathways/7602>\
**Category:** Paper Alert\
**Created:** [March 29, 2024, 12:06am UTC](https://community.alliancegenome.org/t/go-and-ppk-regulated-pathways/7602 "2024-03-29T00:06:01Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![suzi](https://community.alliancegenome.org/user_avatar/community.alliancegenome.org/suzi/32/606_2.png) [@suzi](https://community.alliancegenome.org/u/suzi)\
**Post date:** [March 29, 2024, 12:06am UTC](https://community.alliancegenome.org/t/go-and-ppk-regulated-pathways/7602/1 "2024-03-29T00:06:01Z")

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In a new PLOS Biology publication, Baijal et al. investigate the role of polyphosphate kinase (PPK) and the pathways regulated by PPK in _E. coli_.

> We performed Gene Ontology (GO) [[30](https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3002558#pbio.3002558.ref030)] enrichment analysis on the significantly differentially expressed and all-or-none proteins (92 total) and identified 16 enriched GO terms (FDR-adjusted _p_-value \< 0.05) ([Fig 1E](https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3002558#pbio-3002558-g001)). These included terms related to amino acid, organic acid, and small molecule biosynthesis. We next used Gene Set Enrichment Analysis (GSEA) [[31](https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3002558#pbio.3002558.ref031)] on the entire data set of 1,909 proteins to look for GO terms that are differentially expressed between the wild-type cells and Δ_ppk_ mutants. This analysis showed that wild-type cells were enriched for proteins related to amino acid biosynthesis and transport ([Fig 1F](https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3002558#pbio-3002558-g001)). In contrast, Δ_ppk_ mutant cells were enriched for proteins broadly related to ribosome biogenesis and translation ([Fig 1F](https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3002558#pbio-3002558-g001))… [T]hese data point to a model wherein Δ_ppk_ mutants fail to properly respond to starvation by remaining primed for growth while failing to activate pathways to increase the availability of amino acids and other biomolecules needed for that purpose.

Not only will this paper be of extreme interest to anyone studying how bacterial cells respond to starvation, it also earns a gigantic 🌟for completely citing GO. Baijal et al. include a GO reference publication, the tool used, the release (2023-02-13) for ontology and annotation files, and describes the background used for EA- ensuring the work is reproducible.

[Find the Open Access paper here](https://doi.org/10.1371/journal.pbio.3002558).

 ![Fig 1E&F from Baijal et al.](https://community.alliancegenome.org/uploads/default/original/1X/f88f10c2a5d361c497954c3f4d8a0bd12fcd47d0.png)