Proteomics

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Exploring the structural landscape of DNA maintenance proteins


ABSTRACT: Evolutionary annotation of genome maintenance (GM) proteins has conventionally been established by remote relationships within protein sequence databases. However, often no significant relationship can be established. Highly sensitive approaches to attain remote homologies based on iterative profile-to-profile methods have been developed. Still, these methods have not been systematically applied in evolutionary annotation of GM proteins. Here, by applying profile-to-profile models, we systematically survey the repertoire of GM proteins from bacteria to man. We identify multiple new GM protein candidates and annotate new domains in numerous established GM proteins, among other PARP, OB-fold, Macro, SAP, BRCT, KU, SANT, and nuclease domains. We experimentally validate OB-fold and MIS18/Yippee domains in SPIDR and in FAM72 protein families, respectively. Our results indicate that, surprisingly, despite the immense interest and long-term research efforts, the full repertoire of genome stability caretakers is still not fully appreciated.

INSTRUMENT(S): LTQ Orbitrap

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Permanent Cell Line Cell

DISEASE(S): Disease Free

SUBMITTER: Kenneth Schou  

LAB HEAD: Jiri Bartek

PROVIDER: PXD043273 | Pride | 2024-10-17

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
Ctrl_FLAG_1.raw Raw
Ctrl_FLAG_2.raw Raw
FLAG-FAM72_1.raw Raw
FLAG-FAM72_2.raw Raw
proteinGroups.txt Txt
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Publications

Exploring the structural landscape of DNA maintenance proteins.

Schou Kenneth Bødkter KB   Mandacaru Samuel S   Tahir Muhammad M   Tom Nikola N   Nilsson Ann-Sofie AS   Andersen Jens S JS   Tiberti Matteo M   Papaleo Elena E   Bartek Jiri J  

Nature communications 20240905 1


Evolutionary annotation of genome maintenance (GM) proteins has conventionally been established by remote relationships within protein sequence databases. However, often no significant relationship can be established. Highly sensitive approaches to attain remote homologies based on iterative profile-to-profile methods have been developed. Still, these methods have not been systematically applied in the evolutionary annotation of GM proteins. Here, by applying profile-to-profile models, we system  ...[more]

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