Abbas, T. | Search bioRxiv

bioRxiv2020

ZEB1 is Required for NHEJ-Mediated DSB Repair in Euchromatin

Ionizing radiation-induced DSBs are repaired primarily by the Non-Homologous End Joining (NHEJ) pathway, but the details of how this is regulated in different chromatin contexts are far from understood. We have discovered a novel response to DSBs that promotes NHEJ selectively in euchromatin, based on a novel interaction between the EMT-inducing transcriptional repressor ZEB1, and the well-studied NHEJ-promoting DNA repair factor 53BP1. Using a number of approaches, we have discovered that the ZEB1-53BP1 association is amplified following exposure of cells to IR and that they co-localize at IR-induced foci (IRIF). Depletion of ZEB1 enhances radio-sensitivity and increases IR-induced chromosomal aberrations in an ATM-independent manner. The very rapid recruitment-within 2 seconds-of ZEB1 to euchromatic DSBs is like-wise ATM-independent, but DNA-PK-dependent and is required for subsequent recruitment of 53BP1. ZEB1 promotes NHEJ and inhibits HR through its homeodomain by inducing 53BP1-permissive, pro-NHEJ/anti-HR chromatin modifications. Lastly, depletion of ZEB1 increases hyper-resection at DSBs and inhibits physiological DSB repair. These results support the argument that ZEB1 plays an essential role in DSB repair in euchromatin by establishing a 53BP1-permissive/pro-NHEJ chromatin environment.

cancer biology↗

bioRxiv2020

Genetic differences between extreme and composite constitution types from whole exome sequences reveal actionable variations

Personalized medicine relies on successful identification of genome-wide variations that governs inter-individual differences in phenotypes and system level outcomes. In Ayurveda, assessment of composite constitution types "Prakriti" forms the basis for risk stratification, predicting health and disease trajectories and personalized recommendations. Here, we report a novel method for identifying pleiotropic genes and variants that associate with healthy individuals of three extreme and contrasting "Prakriti" constitutions through exome sequencing and state-of-the-art computational methods. Exome Seq of three extreme Prakriti types from 108 healthy individuals 54 each from genetically homogeneous populations of North India (NI, Discovery cohort) and Western India (VADU, Replication cohort) were evaluated. Fishers Exact Test was applied between Prakriti types in both cohorts and further permutation based p-value was used for selection of exonic variants. To investigate the effect of sample size per genetic association test, we performed power analysis. Functional impact of differentiating genes and variations were inferred using diverse resources -Toppfun, GTEx, GWAS, PheWAS, UK Biobank and mouse knockdown/knockout phenotype (MGI). We also applied supervised machine learning approach to evaluate the association of exonic variants with multisystem phenotypes of Prakriti. Our targeted investigation into exome sequencing from NI (discovery) and VADU (validation) cohorts datasets provide ~7,000 differentiating SNPs. Closer inspection further identified a subset of SNPs (2407 (NI) and 2393 (VADU)), that mapped to an overlapping set of 1181 genes. This set can robustly stratify the Prakriti groups into three distinct clusters with distinct gene ontological (GO) enrichments. Functional analysis further strengthens the potential pleiotropic effects of these differentiating genes/variants and multisystem phenotypic consequences. Replicated SNPs map to some very prominent genes like FIG4, EDNRA, ANKLE1, BCKDHA, ATP5SL, EXOCS5, IFIT5, ZNF502, PNPLA3 and IL6R. Lastly, multivariate analysis using random forest uncovered rs7244213 within urea transporter SLC14A2, that associate with an ensemble of features linked to distinct constitutions. Our results reinforce the concept of integration of Prakriti based deep phenotypes for risk stratification of healthy individuals and provides markers for early actionable interventions.

genomics↗