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Enregistrement W4324373459 · doi:10.3389/fmolb.2023.1155089

Editorial: Structural biology of nucleic acid replication, recombination and repair

2023· editorial· en· W4324373459 sur OpenAlexaboutno aff
Edward L. Bolt, C.D.O. Cooper, Nicholas P. Robinson

Notice bibliographique

RevueFrontiers in Molecular Biosciences · 2023
Typeeditorial
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueMetabolism and Genetic Disorders
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésNucleic acidReplication (statistics)BiologyComputational biologyRecombinationCell biologyGeneticsVirologyGene

Résumé

récupéré en direct d'OpenAlex

genome DNA damage are excision repair complexes ¾ these are able to detect and remove damaged bases (BER enzymes) and nucleotides (NER enzymes) to generate a gap that is filled by fresh DNA replication to replace the damaged DNA. The review article in this volume by Schaich and Van Houten (Pittsburgh, USA) provides a comprehensive discussion of how single molecule biophysical methods have revealed mechanisms for base and nucleotide removal by enzymes from bacteria and eukaryotes. Most impressively, these methods are addressing the question of how BER/NER enzymes distinguish damaged DNA in an expanse of undamaged genomic DNA.Particular highlights are discussions about 'anomalous diffusion' as a means for BER/NER enzymes identifying damage, and an overview of the original studies visualising how bacterial UvrA, UvrB, and UvrC can function as a complex to seek out and repair ultraviolet light-induced DNA crosslinks.Replication, recombination and repair are united in exposing and protecting single strands of DNA in replisomes that separate parental DNA duplex strands, and during DNA end resection and replicative DNA repair required for recombination. DNA single strand binding proteins that achieve this are ubiquitous in nature, often utilizing an OB-fold, but they also show diverse characteristics at interacting with other replication, recombination and repair proteins ¾ they control DNA processing according to signalling cues and cell cycle progression. Analysis by Stuart MacNeill (University of St. Andrews, UK) of the RPA (replication protein A) family of OB-fold ssDNA binding proteins ventures in detail into archaea. This identifies structural features of archaeal RPA proteins that had eluded classification and understanding from comparisons based on only amino acid sequence homologies. A clear structural distinction between archaeal RPA1-like, and RPA-2-like proteins is presented, and reveals that heterodimers may be important in DNA processing events. The theme of dynamic interactions and oligomeric states of OB-fold containing proteins is continued in the analysis by Piero Bianco (University of Nebraska, USA), who provides a comprehensive review of the structure and functions of OB-folds as 'guardians of the genome', not only when binding to ssDNA but also organising events at Holliday junctions and stalled replication forks. The work also highlights some intriguing unknown OB-fold functions that may link replication, recombination and repair to regulation of other cellular processes.The diverse and controlling interactions of RPA with other proteins when it is bound to ssDNA are prominent in the review of DNA replication and replisome organisation by Thomas Guillium (MRC LMB, Cambridge, UK). RPA recruits ligases, ubiquitylases, helicases, and PrimPol (amongst others) that modulate functions of genome stability proteins that restart/re-prime or restrain replication. The different contexts requiring DNA replication are comprehensively reviewed, from stable DNA replication and the latest knowledge about the structure of the replisome through replication fork reversal and translesion synthesis. A collaborative project from Berkeley and Houston in the USA, and KAUST, Saudi Arabia, reported in Tsutakawa at al, utilises multiple methods to understand potential contributions made by uncharacterised genetic mutations to cancerous tumours, mutations referred to as "variants of unknown significance" (VUS). To gain new understanding of VUS, the groups focussed on those occurring in complexes of RPA with helicase and nuclease enzymes that are known to be critical for the biology of cancers. The result is an elegant combination of modelling drawn from data about molecular evolution, atomic resolution structures of the protein complexes, and known outcomes from groups of VUS in human cells.When recombination is not possible at a DNA break the DNA repair apparatus of non-homologous end-joining (NHEJ) takes over to re-join together the broken DNA ends. The review article led by Sara Andres (MacMaster University, Canada) focusses on bacterial NHEJ and the remarkable multi-tasking abilities of the enzyme LigD. This chemically modified the DNA ends and ligates them, aided by interactions with Ku proteins. In this review the details of each experimentally determined LigD structure are provided and scrutinised, revealing that the catalytic cores of LigD enzymes gain additional functional characteristics from accessory regions that are diverse across bacteria, and also revealing some intriguing features of unknown function. The crucial role of NHEJ in bacterial survival from DNA breaks, allied with the widespread use of DNA-break causing antibiotics that target DNA replication, makes a full understanding of the molecular details of NHEJ in bacteria significant for developing new targets and understanding potential antibiotic resistance mechanisms. This Volume 1 of articles highlights molecular mechanisms of DNA recombination, replication, repair in bacteria, archaea and eukaryotes, and how they contribute to understanding the molecular basis of processes that impact on human health. We look forward to opening Volume 2 for which we invite contributions about the structure and function of replication, recombination and repair in all clades of life, including viruses.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,003
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,027
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0010,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,004
Tête enseignante GPT0,258
Écart entre enseignants0,254 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2023
Routes d'admission1
Résumé présentoui

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