Söding, Johannes

[["dc.bibliographiccitation.artnumber","2909"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Nature Communications"],["dc.bibliographiccitation.volume","10"],["dc.contributor.author","Ukmar-Godec, Tina"],["dc.contributor.author","Hutten, Saskia"],["dc.contributor.author","Grieshop, Matthew P."],["dc.contributor.author","Rezaei-Ghaleh, Nasrollah"],["dc.contributor.author","Cima-Omori, Maria-Sol"],["dc.contributor.author","Biernat, Jacek"],["dc.contributor.author","Mandelkow, Eckhard"],["dc.contributor.author","Söding, Johannes"],["dc.contributor.author","Dormann, Dorothee"],["dc.contributor.author","Zweckstetter, Markus"],["dc.date.accessioned","2019-07-22T12:49:00Z"],["dc.date.available","2019-07-22T12:49:00Z"],["dc.date.issued","2019-07-02"],["dc.description.abstract","Cells form and use biomolecular condensates to execute biochemical reactions. The molecular properties of non-membrane-bound condensates are directly connected to the amino acid content of disordered protein regions. Lysine plays an important role in cellular function, but little is known about its role in biomolecular condensation. Here we show that protein disorder is abundant in protein/RNA granules and lysine is enriched in disordered regions of proteins in P-bodies compared to the entire human disordered proteome. Lysine-rich polypeptides phase separate into lysine/RNA-coacervates that are more dynamic and differ at the molecular level from arginine/RNA-coacervates. Consistent with the ability of lysine to drive phase separation, lysine-rich variants of the Alzheimer's disease-linked protein tau undergo coacervation with RNA in vitro and bind to stress granules in cells. Acetylation of lysine reverses liquid-liquid phase separation and reduces colocalization of tau with stress granules. Our study establishes lysine as an important regulator of cellular condensation."],["dc.identifier.doi","10.1038/s41467-019-10792-y"],["dc.identifier.pmid","31266957"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/16293"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/61798"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.relation.eissn","2041-1723"],["dc.relation.issn","2041-1723"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Lysine/RNA-interactions drive and regulate biomolecular condensation"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","142"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Genome Biology"],["dc.bibliographiccitation.volume","22"],["dc.contributor.author","Banerjee, Saikat"],["dc.contributor.author","Simonetti, Franco L."],["dc.contributor.author","Detrois, Kira E."],["dc.contributor.author","Kaphle, Anubhav"],["dc.contributor.author","Mitra, Raktim"],["dc.contributor.author","Nagial, Rahul"],["dc.contributor.author","Söding, Johannes"],["dc.date.accessioned","2021-11-25T11:12:53Z"],["dc.date.accessioned","2022-08-16T13:05:03Z"],["dc.date.available","2021-11-25T11:12:53Z"],["dc.date.available","2022-08-16T13:05:03Z"],["dc.date.issued","2021-05-06"],["dc.date.updated","2022-07-29T12:18:02Z"],["dc.description.abstract","Trans-acting expression quantitative trait loci (trans-eQTLs) account for ≥70% expression heritability and could therefore facilitate uncovering mechanisms underlying the origination of complex diseases. Identifying trans-eQTLs is challenging because of small effect sizes, tissue specificity, and a severe multiple-testing burden. Tejaas predicts trans-eQTLs by performing L2-regularized “reverse” multiple regression of each SNP on all genes, aggregating evidence from many small trans-effects while being unaffected by the strong expression correlations. Combined with a novel unsupervised k-nearest neighbor method to remove confounders, Tejaas predicts 18851 unique trans-eQTLs across 49 tissues from GTEx. They are enriched in open chromatin, enhancers, and other regulatory regions. Many overlap with disease-associated SNPs, pointing to tissue-specific transcriptional regulation mechanisms."],["dc.identifier.citation","Genome Biology. 2021 May 06;22(1):142"],["dc.identifier.doi","10.1186/s13059-021-02361-8"],["dc.identifier.pii","2361"],["dc.identifier.pmid","33957961"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/93538"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/112759"],["dc.identifier.url","https://mbexc.uni-goettingen.de/literature/publications/257"],["dc.language.iso","en"],["dc.notes.intern","DOI Import DOI-Import GROB-441"],["dc.relation","EXC 2067: Multiscale Bioimaging"],["dc.relation.eissn","1474-760X"],["dc.relation.workinggroup","RG Söding (Quantitative and Computational Biology)"],["dc.rights","CC BY 4.0"],["dc.rights.holder","The Author(s)"],["dc.title","Tejaas: reverse regression increases power for detecting trans-eQTLs"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]