Results 161 to 170 of about 38,555 (288)

ChromInSight: Revealing DNA Double‐Strand Breaks Through Chromatin Structural Insights With an Interpretable Graph Neural Network Framework

open access: yesAdvanced Science, EarlyView.
DSBs are the most critical genomic lesions. Using the ChromInSight framework, It is revealed that 3D chromatin structure, rather than linear distance, shapes cluster‐scene between hub‐Nodes and DSB loci. The “spatial isolation–damage containment” hypothesis is proposed to illustrate how the genome responds to genomic damage and offer a powerful tool ...
Kang Xu   +9 more
wiley   +1 more source

Protein-mediated chromosome pairing of repetitive arrays. [PDF]

open access: yesJ Mol Biol, 2014
Mirkin EV, Chang FS, Kleckner N.
europepmc   +1 more source

Efficient Somatic Cell Nuclear Transfer by Overcoming Both Pre‐ and Post‐Implantation Epigenetic Barriers

open access: yesAdvanced Science, EarlyView.
Mammalian cloning via SCNT is limited by several epigenetic barriers. Kdm4d/Kdm5b overexpression plus TSA treatment overcomes epigenetic barriers during pre‐implantation development, while tetraploid complementation replaces defective extraembryonic lineages to bypass H3K27me3 imprinting loss to overcome epigenetic barriers in post‐implantation ...
Yamei Li   +13 more
wiley   +1 more source

FemXpress: Systematic Analysis of X Chromosome Inactivation Heterogeneity in Female Single‐Cell RNA‐Seq Samples

open access: yesAdvanced Science, EarlyView.
FemXpress is a computational tool that leverages X‐linked single nucleotide polymorphisms (SNPs) to group cells by the origin of the inactivated X chromosome in female single‐cell RNA sequencing (scRNA‐Seq) data. It demonstrates strong performance on both simulated and real datasets without requiring parental genomic information, and can also identify ...
Xin Wang   +15 more
wiley   +1 more source

SCRIPT: Predicting Single‐Cell Long‐Range Cis‐Regulation Based on Pretrained Graph Attention Networks

open access: yesAdvanced Science, EarlyView.
SCRIPT is a novel method inferring single‐cell cis‐regulatory relationships (CRRs) from transcriptomic and chromatin accessibility data. SCRIPT incorporates two key innovations: graph causal attention networks supported by empirical CRR evidence, and representation learning enhanced through pretraining on atlas‐scale single‐cell data.
Yu Zhang   +13 more
wiley   +1 more source

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