Biology subjects

Ratan, A.

Publications and source records attributed to Ratan, A..

16 recordsLinked to original sources

bioRxiv2026

An auto-generated ADP-ribosyl-cysteine degron drives DTX2-dependent turnover of PARP7

The mono-ADP-ribosyltransferase PARP7 exerts negative feedback on androgen receptor (AR) signaling by generating an ADP-ribosyl-cysteine degron on AR that marks it for degradation. Here we show that the protein half-life of PARP7 is set by cysteine auto-ADP-ribosylation, providing a mechanism for temporal control of its feedback on AR-dependent transcription in prostate cancer cells. ADP-ribosyl-cysteine in the PARP7 catalytic domain constitutes a degron read by the E3 ligase DTX2, driving PARP7 polyubiquitination and proteasomal degradation. Thus, the same E3 is used to degrade both PARP7 and its substrate AR. Using label-free mass spectrometry, we identify the AP-1 factor c-JUN as a PARP7 substrate and show that ADP-ribosylated c-JUN accumulates upon DTX2 depletion. ADP-ribosyl degron formation is dependent on NAD+ availability since depleting NAD+ pharmacologically or under hypoxia prevents degron formation and stabilizes PARP7 in a catalytically constrained state that compromises its feedback activity. Correlations between PARP7 expression and hypoxia signatures in prostate tumors, together with sensitivity to the PARP7-selective inhibitor RBN-2397 across cancer lines, nominate hypoxic, NAD+ depleted contexts as heightened vulnerability to PARP7-targeting agents. Marking transcription factors for degradation by covalent ADP-ribosylation is emerging as a distinct mode of transcriptional control.

biochemistry↗

bioRxiv2025

Patient-informed CRISPR Screen Identifies FLNB as a Novel Congenital Heart Disease and Ciliopathy Gene

Heterotaxy (HTX) syndrome is a congenital disorder characterized by abnormal left-right organ placement, often leading to severe congenital heart defects (CHD). Despite advances in sequencing, many CHD/HTX-associated genes remain functionally unvalidated, hindering effective clinical diagnosis and management. Here, we leveraged a high-throughput CRISPR/Cas9 screening approach in the Xenopus model to rapidly evaluate candidate genes identified from whole-exome sequencing of human CHD patients. Our screen identified Filamin B (FLNB), an actin-binding protein previously linked to skeletal disorders but not to ciliopathies or CHD. We identified 5 probands with CHD/HTX, 3 with recessive, and 2 with damaging heterozygous mutations in FLNB. Disrupting FLNB in Xenopus reproduced key features of the human HTX phenotype, including defects in cardiac development and impaired motile cilia function. Rescue experiments confirmed the functional conservation of human FLNB, directly implicating actin cytoskeletal disruption in ciliogenesis and left-right patterning defects. Our results provide crucial evidence linking human FLNB dysfunction to ciliopathies and CHD/HTX.

genetics↗

bioRxiv2025

Loss of DHX36/G4R1, a G4 resolvase, drives genome instability and regulates innate immune gene expression in cancer cells

G-quadruplexes (G4s) are four-stranded alternative secondary structures formed by guanine-rich nucleic acids and are prevalent across the human genome. G4s are enzymatically resolved using specialized helicases. Previous in vitro studies showed that DEAH-box Helicase 36 (DHX36/G4R1/RHAU), has the highest specificity and affinity for G4 structures. Here, by mapping genome-wide DNA double-strand breaks (DSBs), we demonstrate that knockout (KO) of DHX36 helicase increases DSB enrichment at G4 sites and that the presence of the G4 motif is a significant mediator of genome instability at regulatory regions. The loss of DHX36 corresponds with the significant upregulation of NF-{kappa}B transcriptional programs, culminating in the production and secretion of proinflammatory cytokines. Loss of DHX36 expression results in an increase in the innate immune signaling stimulator of interferon response cGAMP interactor 1 (STING1) expression and activation of genes involved in immune response pathways. Importantly, higher levels of DHX36 mRNA expression in human B-cell acute lymphoblastic leukemia correlate with improved overall survival relative to lower expression of DHX36, highlighting its critical role in preserving genome integrity at a cellular level and in the context of cancer.

molecular biology↗

bioRxiv2024

Parp7 generates an ADP-ribosyl degron that controls negative feedback of androgen signaling

AbstractThe androgen receptor (AR) tranduces the effects of circulating and tumor-derived androgens to the nucleus through ligand-induced changes in protein conformation, localization, and engagement with chromatin binding sites. Understanding these events and their integration with signal transduction is critical for defining how AR drives prostate cancer and unveiling pathway features that are amenable to therapeutic intervention. Here, we describe a novel post-transcriptional mechanism that controls AR protein levels on chromatin and associated gene output which is based on a highly selective, inducible degradation mechanism. We find that the mono-ADP-ribosyltransferase PARP7 generates an ADP-ribosyl degron on a single cysteine within the DNA binding domain of AR, which is then recognized by the ADP- ribose reader domain in the ubiquitin E3 ligase DTX2 and degraded by the proteasome. Mathematical modeling of the pathway suggested that PARP7 ADP-ribosylates chromatin-bound AR, a prediction that was validated in cells using an AR mutant that undergoes nuclear import but fails to bind DNA. Lysine- independent, non-conventional ubiquitin conjugation to ADP-ribosyl-cysteine and AR degradation by the proteasome forms the basis of a negative feedback loop that regulates specific modules of AR target genes. Our data expand the repertoire of mono-ADP-ribosyltransferase enzymes to include gene regulation based on highly selective protein degradation. One Sentence SummaryPARP7 mono-ADP-ribosylates the androgen receptor on Cys620 to mark the androgen receptor for ubiquitin conjugation by an E3 ligase with ADP-ribose reader function, resulting in in negative feedback of AR-dependent gene expression.

cancer biology↗

bioRxiv2024

Balancing selection and the functional effects of shared polymorphism in cryptic Daphnia species

The patterns of genetic variation within and between related taxa represent the genetic history of a species. Shared polymorphisms, loci with identical alleles across species, are of unique interest as they may represent cases of ancient selection maintaining functional variation post-speciation. In this study, we investigate the abundance of shared polymorphism in the Daphnia pulex species complex. We test whether shared mutations are consistent with the action of balancing selection or alternative hypotheses such as hybridization, incomplete lineage sorting, or convergent evolution. We analyzed over 2,000 genomes from North American and European D. pulex and several outgroup species to examine the prevalence and distribution of shared alleles between the focal species pair, North American and European D. pulex. We show that while North American and European D. pulex diverged over ten million years ago, they retained tens of thousands of shared alleles. We found that the number of shared polymorphisms between North American and European D. pulex cannot be explained by hybridization or incomplete lineage sorting alone. Instead, we show that most shared polymorphisms could be the product of convergent evolution, that a limited number appear to be old trans-specific polymorphisms, and that balancing selection is affecting young and ancient mutations alike. Finally, we provide evidence that a blue wavelength opsin gene with trans-specific polymorphisms has functional effects on behavior and fitness in the wild. Ultimately, our findings provide insights into the genetic basis of adaptation and the maintenance of genetic diversity between species.

evolutionary biology↗

bioRxiv2022

Induction of PARP7 Creates a Vulnerability for Growth Inhibition by RBN2397 in Prostate Cancer Cells

The ADP-ribosyltransferase PARP7 modulates protein function by conjugating ADP-ribose to the side chains of acceptor amino acids. PARP7 has been shown to affect gene expression in prostate cancer cells and certain other cell types by mechanisms that include transcription factor ADP-ribosylation. Here, we use a recently developed catalytic inhibitor to PARP7, RBN2397, to study the effects of PARP7 inhibition in androgen receptor-positive and androgen receptor-negative prostate cancer cells. We find that RBN2397 has nanomolar potency for inhibiting androgen-induced ADP-ribosylation of the androgen receptor. RBN2397 inhibits the growth of prostate cancer cells in culture when cells are treated with ligands that activate the androgen receptor, or the aryl hydrocarbon receptor, and induce PARP7 expression. We show that the growth inhibitory effects of RBN2397 are distinct from its enhancement of interferon signaling recently shown to promote tumor immunogenicity. RBN2397 treatment also induces trapping of PARP7 in a detergentresistant fraction within the nucleus, which is reminiscent of how inhibitors such as Talazoparib affect PARP1 fractionation. Because PARP7 is expressed in AR negative metastatic tumors and RBN2397 can affect cancer cells through multiple mechanisms, PARP7 may be an actionable target in advanced prostate cancer. SignificanceRBN2397 is a potent and selective inhibitor of PARP7 that reduces the growth of prostate cancer cells, including a model for treatment-emergent neuroendocrine prostate cancer. RBN2397 induces PARP7 trapping on chromatin, suggesting its mechanism of action might be similar to clinically-used PARP1 inhibitors.

cancer biology↗

bioRxiv2021

Genomic Analyses of the Metastasis-derived LNCaP, VCaP, and PC3-AR Prostate Cancer Cell Lines

The lymph node metastasis-derived LNCaP, the bone metastasis-derived PC3 (skull), and VCaP (vertebral) cell lines are widely used preclinical models of human prostate cancer (CaP) and have been described in >19,000 publications. Here, we report on short-read whole-genome sequencing and genomic analyses of LNCaP, VCaP, and PC3 cells stably transduced with WT AR (PC3-AR). LNCaP cells are composed of multiple subpopulations, which results in non-integral copy number states and a high mutational load when the data is analyzed in bulk. All three cell lines contain pathogenic mutations and homozygous deletions in genes involved in DNA mismatch repair, along with deleterious mutations in cellcycle, Wnt signaling, and other cellular processes. Furthermore, LNCaP cells contain a missense mutation in a well-known CaP hotspot of TP53, whereas both PC3-AR and VCaP have truncating mutations in TP53 and do not express p53 protein. In addition, we detect the signatures of chromothripsis of the q arms of chromosome 5 in both PC3-AR and VCaP cells, strengthening the association of TP53 inactivation with chromothripsis reported in other systems. Our work provides a resource for genetic, genomic, and biological studies employing these commonly-used prostate cancer cell lines.

bioinformatics↗

bioRxiv2021

Polygenic variation in sexual investment across an ephemerality gradient in Daphnia pulex

Species across the tree of life can switch between asexual and sexual reproduction. In facultatively sexual species, the ability to switch between reproductive modes is often environmentally dependent and subject to local adaptation. However, the ecological and evolutionary factors that influence the maintenance and turnover of polymorphism associated with facultative sex remain unclear. To address this basic question, we studied the ecological and evolutionary dynamics of polymorphism in reproductive strategy in a metapopulation of the model facultative sexual, Daphnia pulex, located in the southern United Kingdom. We found that patterns of clonal diversity, but not genetic diversity varied with ephemerality. Reconstruction of a multi-year pedigree demonstrated the co-existence of clones that were found to differ in their investment into male production. Mapping of quantitative variation in male production using lab-generated and field-collected individuals identified multiple putative QTL underlying this trait, and we identified a plausible candidate gene. The evolutionary history of these QTL suggests that they are relatively young, and male limitation in this system is a rapidly evolving trait. Our work highlights the dynamic nature of the genetic structure and composition of facultative sex across space and time and suggests that quantitative genetic variation in reproductive strategy can undergo rapid evolutionary turnover.

evolutionary biology↗

bioRxiv2020

Data Integration with SUMO Detects Latent Relationships Between Patients in Lower-Grade Gliomas

Joint analysis of multiple genomic data types can facilitate the discovery of complex mechanisms of biological processes and genetic diseases. We present a novel data integration framework based on non-negative matrix factorization that uses patient similarity networks. Our implementation supports continuous multi-omic datasets for molecular subtyping and handles missing data without using imputation, making it more efficient for genome-wide assays in large cohorts. Applying our approach to gene expression, microRNA expression, and methylation data from patients with lower grade gliomas, we identify a subtype with a significantly poorer prognosis. Tumors assigned to this subtype are hypomethylated genome-wide with a gain of AP-1 occupancy in the demethylated distal enhancers. These tumors genomic profiles are similar to Grade IV gliomas: they are enriched for somatic chr7 gain, chr10 loss, and other molecular events that have yet to be used in the diagnosis of lower-grade gliomas as per the current WHO guidelines.

bioinformatics↗

bioRxiv2020

Human ACE2 receptor polymorphisms predict SARS-CoV-2 susceptibility

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the cause of coronavirus disease (COVID-19) that has resulted in a global pandemic. It is a highly contagious positive strand RNA virus and its clinical presentation includes severe to critical respiratory disease that appears to be fatal in [~]3-5% of the cases. The viral spike (S) coat protein engages the human angiotensin-converting enzyme2 (ACE2) cell surface protein to invade the host cell. The SARS-CoV-2 S-protein has acquired mutations that increase its affinity to human ACE2 by [~]10-15-fold compared to SARS-CoV S-protein, making it highly infectious. In this study, we assessed if ACE2 polymorphisms might alter host susceptibility to SARS-CoV-2 by affecting the ACE2 S-protein interaction. Our comprehensive analysis of several large genomic datasets that included over 290,000 samples representing >400 population groups identified multiple ACE2 protein-altering variants, some of which mapped to the S-protein-interacting ACE2 surface. Using recently reported structural data and a recent S-protein-interacting synthetic mutant map of ACE2, we have identified natural ACE2 variants that are predicted to alter the virus-host interaction and thereby potentially alter host susceptibility. In particular, human ACE2 variants S19P, I21V, E23K, K26R, T27A, N64K, T92I, Q102P and H378R are predicted to increase susceptibility. The T92I variant, part of a consensus NxS/T N-glycosylation motif, confirmed the role of N90 glycosylation in immunity from non-human CoVs. Other ACE2 variants K31R, N33I, H34R, E35K, E37K, D38V, Y50F, N51S, M62V, K68E, F72V, Y83H, G326E, G352V, D355N, Q388L and D509Y are putative protective variants predicted to show decreased binding to SARS-CoV-2 S-protein. Overall, ACE2 variants are rare, consistent with the lack of selection pressure given the recent history of SARS-CoV epidemics, however, are likely to play an important role in altering susceptibility to CoVs.

genetics↗

bioRxiv2020

Cancer-specific CTCF binding facilitates oncogenic transcriptional dysregulation

BackgroundThe three-dimensional genome organization is critical for gene regulation and can malfunction in diseases like cancer. As a key regulator of genome organization, CCCTC-binding factor (CTCF) has been characterized as a DNA-binding protein with important functions in maintaining the topological structure of chromatin and inducing DNA looping. Among the prolific binding sites in the genome, several events with altered CTCF occupancy have been reported as associated with effects in physiology or disease. However, there is no hitherto a comprehensive survey of genome-wide CTCF binding patterns across different human cancers. ResultsTo dissect functions of CTCF binding, we systematically analyze over 700 CTCF ChIP-seq profiles across human tissues and cancers and identify cancer-specific CTCF binding patterns in six cancer types. We show that cancer-specific lost and gained CTCF binding events are associated with altered chromatin interactions in patient samples, but not always with DNA methylation changes or sequence mutations. While lost bindings primarily occur near gene promoters, most gained CTCF binding events are induced by oncogenic transcription factors and exhibit enhancer activities. We validate these findings in T-cell acute lymphoblastic leukemia and show that oncogenic NOTCH1 induces specific CTCF binding and they cooperatively activate expression of target genes, indicating transcriptional condensation phenomena. ConclusionsCancer-specific CTCF binding events are not always associated with DNA methylation changes or mutations, but can be induced by other transcription factors to regulate oncogenic gene expression. Our results substantiate CTCF binding alteration as a functional epigenomic signature of cancer.

genomics↗

bioRxiv2019

Augmented Interval List: a novel data structure for efficient genomic interval search

MotivationGenomic data is frequently stored as segments or intervals. Because this data type is so common, interval-based comparisons are fundamental to genomic analysis. As the volume of available genomic data grows, developing efficient and scalable methods for searching interval data is necessary.\n\nResultsWe present a new data structure, the augmented interval list (AIList), to enumerate intersections between a query interval q and an interval set R. An AIList is constructed by first sorting R as a list by the interval start coordinate, then decomposing it into a few approximately flattened components (sublists), and then augmenting each sublist with the running maximum interval end. The query time for AIList is O(log2N + n + m), where n is the number of overlaps between R and q, N is the number of intervals in the set R, and m is the average number of extra comparisons required to find the n overlaps. Tested on real genomic interval datasets, AIList code runs 5 - 18 times faster than standard high-performance code based on augmented interval-trees (AITree), nested containment lists (NCList), or R-trees (BEDTools). For large datasets, the memory-usage for AIList is 4% - 60% of other methods. The AIList data structure, therefore, provides a significantly improved fundamental operation for highly scalable genomic data analysis.\n\nAvailabilityAn implementation of the AIList data structure with both construction and search algorithms is available at code.databio.org/AIList.

bioinformatics↗

bioRxiv2018

The Germline Variants rs61757955 and rs34988193 are Predictive of Survival in Low Grade Glioma Patients

AbstractLow grade gliomas are invasive brain tumors that are difficult to completely resect neurosurgically. They often recur following resection and progress, resulting in death. Although previous studies have shown that specific germline variants increase the risk of tumor formation, no previous study has screened many germline variants to identify variants predictive of survival in glioma patients. In this study, we present an approach to identify the small fraction of prognostic germline variants from the pool of over four million variants that we variant called in The Cancer Genome Atlas whole exome sequencing and RNA sequencing datasets. We identified two germline variants that are predictive of poor patient outcomes by Cox regression, controlling for eleven covariates. rs61757955 is a germline variant found in the 3 UTR of GRB2 associated with increased KRAS signaling, CIC mutations, and 1p/19q co-deletion. rs34988193 is a germline variant found in the tumor suppressor gene ANKDD1a that causes an amino acid change from lysine to glutamate. This variant was found to be predictive of poor prognosis in two independent low grade glioma datasets and is predicted to be within the top 0.06% of deleterious mutations across the human genome. The wild type residue is conserved in all 22 other species with a homologous protein.\n\nImplicationsThis is the first study presenting an approach to screening many germline variants to identify variants predictive of survival and our application of this methodology revealed the germline variants rs61757955 and rs34988193 as being predictive of survival in low grade glioma patients.

cancer biology↗

bioRxiv2018

SVXplorer: Identification of structural variants through overlap of discordant clusters

MotivationThe identification of structural variants using short-read data remains challenging. Most approaches ignore signatures of complex variants such as those generated by trans-posable elements. This can result in lower precision and sensitivity in identification of the more common structural variants such as deletions and duplications.\n\nResultsWe present SVXplorer, which uses a streamlined sequential approach to integrate discordant paired-end alignments with split-reads and read depth information. We show that it outperforms several existing approaches in both reproducibility and accuracy on real and simulated datasets.\n\nAvailabilitySVXplorer is available at https://github.com/kunalkathuria/SVXplorer.

bioinformatics↗

bioRxiv2018

Genomic variants among threatened Acropora corals

Genomic sequence data for non-model organisms are increasingly available requiring the development of efficient and reproducible workflows. Here, we develop the first genomic resources and reproducible workflows for two threatened members of the reef-building coral genus Acropora. We generated genomic sequence data from multiple samples of the Caribbean A. cervicornis (staghorn coral) and A. palmata (elkhorn coral), and predicted millions of nucleotide variants among these two species and the Pacific A. digitifera. A subset of predicted nucleotide variants were verified using restriction length polymorphism assays and proved useful in distinguishing the two Caribbean Acroporids and the hybrid they form (\"A. prolifera\"). Nucleotide variants are freely available from the Galaxy server (usegalaxy.org), and can be analyzed there with computational tools and stored workflows that require only an internet browser. We describe these data and some of the analysis tools, concentrating on fixed differences between A. cervicornis and A. palmata. In particular, we found that fixed amino acid differences between these two species were enriched in proteins associated with development, cellular stress response and the hosts interactions with associated microbes, for instance in the Wnt pathway, ABC transporters and superoxide dismutase. Identified candidate genes may underlie functional differences in the way these threatened species respond to changing environments. Users can expand the presented analyses easily by adding genomic data from additional species as they become available.\n\nArticle SummaryWe provide the first comprehensive genomic resources for two threatened Caribbean reef-building corals in the genus Acropora. We identified genetic differences in key pathways and genes known to be important in the animals response to the environmental disturbances and larval development. We further provide a list of candidate loci for large scale genotyping of these species to gather intra- and interspecies differences between A. cervicornis and A. palmata across their geographic range. All analyses and workflows are made available and can be used as a resource to not only analyze these corals but other non-model organisms.

genomics↗

bioRxiv2017

Accumulation And Functional Architecture Of Deleterious Genetic Variants During The Extinction Of Wrangel Island Mammoths

Woolly mammoths were among the most abundant cold adapted species during the Pleistocene. Their once large populations went extinct in two waves, an end-Pleistocene extinction of continental populations followed by the mid-Holocene extinction of relict populations on St. Paul Island ~5,600 years ago and Wrangel Island ~4,000 years ago. Wrangel Island mammoths experienced an episode of rapid demographic decline coincident with their isolation, leading to a small population, reduced genetic diversity, and the fixation of putatively deleterious alleles, but the functional consequences of these processes are unclear. Here we show that the Wrangel Island mammoth accumulated many putative deleterious mutations that are predicted to cause diverse behavioral and developmental defects. Resurrection and functional characterization of Wrangel Island mammoth genes carrying these substitutions identified both loss and gain of function mutations in genes associated with developmental defects (HYLS1), oligozoospermia and reduced male fertility (NKD1), diabetes (NEUROG3), and the ability to detect floral scents (OR5A1). These results suggest that Wrangel Island mammoths may have suffered adverse consequences from their reduced population sizes and isolation.

genetics↗