Biology subjects

Rajan, J.

Publications and source records attributed to Rajan, J..

4 recordsLinked to original sources

bioRxiv2025

A nuclease-driven mechanism of post-replicative ssDNA gap suppression.

During replication stress, failure to resolve post-replicative ssDNA gaps generated by PRIMPOL-mediated replication repriming is linked with chemosensitivity, and in all models reported to date the nuclease MRE11 has been implicated as a gap-promoting factor. We have dissected ssDNA gap dynamics following nucleoside analogue-mediated nascent strand termination and report a novel mechanism via which loss of the MRE11 negative regulator MRN-Interacting Protein (MRNIP) leads to MRE11 exonuclease-dependent suppression of post-replicative ssDNA gaps. This process is driven by UBC13 and the B-family TLS polymerase REV3L, suggesting that in the absence of MRNIP, dysregulated MRE11 activity at chain termination sites licenses gap filling via template switching. In the absence of PRIMPOL-dependent repriming, MRNIP loss leads to paradoxical SMARCAL1, MRE11 and primosome-dependent ssDNA gaps, suggesting that nucleolytic digestion of reversed forks generates DNA intermediates that platform primase redundancy in the context of chain termination. We also highlight novel site-specific roles for the anti-resection factor 53BP1 in enabling primase redundancy via suppression of the nuclease EXO1, and in limiting the EXO1-dependent processing of post-replicative ssDNA gaps. Finally, we demonstrate that CDK-dependent MRNIP phosphorylation is required for MRNIP functionality in the regulation of ssDNA gaps and sensitivity to chain terminators. This work represents the first report of nuclease-driven post-replicative gap filling, illuminates an additional level of versatility in the replication stress response, and expands our understanding of the context-dependent links between nuclease regulation and chemoresistance.

cancer biology↗

bioRxiv2025

IFI16 senses and protects stalled replication forks

Replication stress is a key driver of DNA damage and genome instability. Replication stress-induced fork remodelling generates a new DNA end that is vulnerable to the action of nucleases, and which is protected by a range of factors including the canonical tumour suppressors BRCA1 and BRCA2. Here we report that replication stress drives elevated production of cytokines and chemokines in the absence of DNA damage. The DNA sensor IFI16 binds nascent DNA at stalled replication forks and signals via the DNA sensing adaptor STING, to induce the activation of NF-{kappa}B and the production of pro-inflammatory cytokines in response to replication stress. IFI16 also acts directly at stalled replication forks to protect nascent DNA from degradation by the nucleases MRE11 and DNA2. Furthermore, IFI16 is required for the interferon-mediated rescue of fork protection in BRCA-deficient cells, highlighting the critical role of IFI16 in the cross-talk between innate immunity and fork protection during replication stress. HighlightsO_LIReplication stress induces an early innate immune response, which is dependent on the DNA sensing factors IFI16 and STING, but not cGAS C_LIO_LIIFI16 binds directly to nascent DNA at stalled replication forks C_LIO_LIIFI16 prevents nucleolytic degradation of reversed forks C_LIO_LIIFI16 is required for interferon-mediated fork protection in BRCA-deficient cells C_LI

cancer biology↗

bioRxiv2020

Inoculation by mosquito induces durable differences in serological profile in non-human primates infected with DENV1

Natural dengue virus (DENV) infections are delivered by mosquito bite but how the route of inoculation route could shape the humoral immune response is not well understood. Here, we serologically profiled 20 non-human primates (NHP) from a prior study of DENV1 infection in which the animals were inoculated by mosquito (N=10) or subcutaneous injection (N=10). Using a comprehensive, densely tiled and highly redundant pan-flavivirus programmable phage library containing 91,562 overlapping 62 amino acid peptides, we produced a high-resolution map of linear peptide sequences enriched during DENV seroconversion. We found that serological profiles in mosquito-inoculated and subcutaneously-inoculated animals were similar up to 90 days after primary infection, but diverged at 1 year. We found differences in sero-reactivity, as indicated by the median area under the curve (AUC) in the Envelope (E; residues 215-406; p < 0.08), and Nonstructural-3 (NS3; residues 549-615; p < 0.05) proteins in mosquito-inoculated versus subcutaneously-inoculated animals. Within the E protein, residues 339-384 in domain III accounted for >99% of the total AUC difference across residues 215-406. Antibody breadth did not vary by mode of inoculation. The differential reactivity to E domain III (EDIII) seen by phage display validated orthogonally by ELISA, but did not correlate with late neutralization titers. Serological profiling of humoral immune responses to DENV infection in NHP by programmable phage display demonstrated durable differences in sero-reactivity by route of inoculation. These findings could have implications for DENV diagnostics and evaluation of vaccines. IMPORTANCEDengue virus (DENV) infections are transmitted by mosquito bite, but how being infected by mosquito bite affects the immune response is not known. In this study, we analyzed antibodies produced by rhesus macaques infected with DENV using programmable phage display, a high-throughput method for characterizing what viral protein derived peptides serum antibodies bind to. We found that while there was no difference in antibody binding profiles at early timepoints post-infection, at one year post-infection, there were substantial differences in the antibody binding profiles of macaques who were infected by mosquito bite versus those that were infected by injection. In general, antibodies in the macaques inoculated by mosquito maintained higher levels of sero-reactivity, with a strong signal still present one year post-infection. The findings we report could have implications for DENV diagnostics and evaluation of DENV vaccines.

immunology↗

bioRxiv2017

A multivariate analysis of CalEnviroScreen: comparing environmental and socioeconomic stressors versus chronic disease

BackgroundThe health-risk assessment paradigm is shifting from single stressor evaluation towards cumulative assessments of multiple stressors. Recent efforts to develop broad-scale public health hazard datasets provide an opportunity to develop and evaluate multiple exposure hazards in combination.\n\nMethodsWe performed a multivariate study of the spatial relationship between 12 indicators of environmental hazard, 5 indicators of socioeconomic hardship, and 3 health outcomes. Indicators were obtained from CalEnviroScreen (version 3.0), a publicly available environmental justice screening tool developed by the State of California Environmental Protection Agency. The indicators were compared to the total rate of hospitalization for 14 ICD-9 disease categories (a measure of disease burden) at the zip code tabulation area population level. We performed principal component analysis to visualize and reduce the CalEnviroScreen data and spatial autoregression to evaluate associations with disease burden.\n\nResultsCalEnviroScreen was strongly associated with the first principal component (PC) from a principal component analysis (PCA) of all 20 variables (Spearman {rho} = 0.95). In a PCA of the 12 environmental variables, two PC axes explained 43% of variance, with the first axis indicating industrial activity and air pollution, and the second associated with ground-level ozone, drinking water contamination and PM2.5. Mass of pesticides used in agriculture was poorly or negatively correlated with all other environmental indicators, and with the CalEnviroScreen calculation method, suggesting a limited ability of the method to capture agricultural exposures. In a PCA of the 5 socioeconomic variables, the first PC explained 66% of variance, representing overall socioeconomic hardship. In simultaneous autoregressive models, the first environmental and socioeconomic PCs were both significantly associated with the disease burden measure, but more model variation was explained by the socioeconomic PCs.\n\nConclusionsThis study supports the use of CalEnviroScreen for its intended purpose of screening California regions for areas with high environmental exposure and population vulnerability. Study results further suggest a hypothesis that, compared to environmental pollutant exposure, socioeconomic status has greater impact on overall burden of disease.

epidemiology↗