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Pàgina inicial > Articles > Articles publicats > Exploring cryptic amyloidogenic regions in prion-like proteins from plants |
Data: | 2023 |
Resum: | Prion-like domains (PrLDs) are intrinsically disordered regions (IDRs) of low sequence complexity with a similar composition to yeast prion domains. PrLDs-containing proteins have been involved in different organisms' regulatory processes. Regions of moderate amyloid propensity within IDRs have been shown to assemble autonomously into amyloid fibrils. These sequences tend to be rich in polar amino acids and often escape from the detection of classical bioinformatics screenings that look for highly aggregation-prone hydrophobic sequence stretches. We defined them as cryptic amyloidogenic regions (CARs) and recently developed an integrated database that collects thousands of predicted CARs in IDRs. CARs seem to be evolutionary conserved among disordered regions because of their potential to stablish functional contacts with other biomolecules. Here we have focused on identifying and characterizing CARs in prion-like proteins (pCARs) from plants, a lineage that has been poorly studied in comparison with other prionomes. We confirmed the intrinsic amyloid potential for a selected pCAR from Arabidopsis thaliana and explored functional enrichments and compositional bias of pCARs in plant prion-like proteins. |
Ajuts: | European Commission 952334 Agencia Estatal de Investigación PID 2019-105017RB-I00 Ministerio de Ciencia e Innovación FPU17/01157 Agència de Gestió d'Ajuts Universitaris i de Recerca 2021/FI_B-00087 |
Drets: | Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original. |
Llengua: | Anglès |
Document: | Article ; recerca ; Versió publicada |
Matèria: | Cryptic amyloidogenic regions ; Prion-like domains ; Plants ; Functional interactions ; Bioinformatics |
Publicat a: | Frontiers in plant science, Vol. 13 (January 2023) , art. 1060410, ISSN 1664-462X |
12 p, 6.4 MB |