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Cheng, K.

Publications and source records attributed to Cheng, K..

At least 37 records · Page 2Linked to original sources

Metaproteomics reveals age-specific alterations of gut microbiome in hamsters with SARS-CoV-2 infection

The gut microbiomes pivotal role in health and disease is well-established. SARS-CoV-2 infection often causes gastrointestinal symptoms and is associated with changes of the microbiome in both human and animal studies. While hamsters serve as important animal models for coronavirus research, there exists a notable void in the functional characterization of their microbiomes with metaproteomics. In this study, we present a workflow for analyzing the hamster gut microbiome, including a metagenomics-derived hamster gut microbial protein database and a data-independent acquisition metaproteomics method. Using this workflow, we identified 32419 protein groups from the fecal microbiomes of young and old hamsters infected with SARS-CoV-2. We showed age-specific changes in the expressions of microbiome functions and host proteins associated with microbiomes, providing further functional insight into the dysbiosis and aberrant cross-talks between the microbiome and host in SARS-CoV-2 infection. Altogether this study established and demonstrated the capability of metaproteomics for the study of hamster microbiomes.

microbiology↗

Modelling DNA replication fork stability and collapse using chromatin fiber analysis and the R-ODD-BLOBS program

We describe the anatomy of replication forks by comparing the lengths of synthesized BrdU-labelled DNA in wild type, mrc1{Delta} and cds1{Delta} Schizoasaccharomyces pombe. We correlated Rad51 and Cdc45 proteins relative to their positions on the fork, replicated tract, or unreplicated regions. We did this by using chromatin fiber images. These fibers track pixel intensity data, which is analyzed using our program: R-ODD-BLOBS. We compared the lengths of BrdU tracts and proteins, as well as the percentage of Rad51 and Cdc45 colocalization, and compared our results with literature findings. We measured average BrdU lengths consistent with current literature; cds1{Delta} was the longest at [~]2.9 kb (8.6 pixels, px), wild type was [~] 2.5 kb (7.5 px), and mrc1{Delta} was the shortest at [~]1.7 kb (5.1 px). Intriguingly, Rad51 was found at 22% more replicated areas in mrc1{Delta} than in wild type. This suggests that homologous recombination repair may be more common at mrc1{Delta} forks. In this study, we summarize the usefulness of a computational modeling tool to assess large datasets of chromatin spread data. In turn, we find patterns of DNA replication length and protein components at replication forks, to describe the anatomy of a fork and how structures change with checkpoint loss. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=137 SRC="FIGDIR/small/621594v2_figa1.gif" ALT="Figure 1"> View larger version (29K): org.highwire.dtl.DTLVardef@1fd59forg.highwire.dtl.DTLVardef@1f234org.highwire.dtl.DTLVardef@1c46b51org.highwire.dtl.DTLVardef@61ce37_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOGRAPHICAL ABSTRACT:C_FLOATNO R-ODD-BLOBS uses chromatin fiber data to rigorously model replication fork structures. DNA replication forks are multi-subunit structures that must pair and regulate DNA copying activity of the polymerases with unwinding activity of helicase. Chromatin fiber data retains proteins, and can be used to detect DNA synthesis (blue) and associated DNA replication fork proteins such as MCM4 helicase (MCM4) and replication protein A (RPA). In our work, we have used homologous recombination protein Rad51 and helicase factor Cdc45 to understand how DNA replication fork structures are destabilized during hydroxyurea treatment, and how they fail to recover because of Cdc45/helicase mis-localization. C_FIG

cell biology↗

MetaLab Platform Enables Comprehensive DDA and DIA Metaproteomics Analysis

Metaproteomics studies the collective protein composition of complex microbial communities, providing insights into microbial roles in various environments. Despite its importance, metaproteomic data analysis is challenging due to the datas large and heterogeneous nature. While Data-Independent Acquisition (DIA) mode enhances proteomics sensitivity, it traditionally requires Data-Dependent Acquisition (DDA) results to build the library for peptide identification. This paper introduces an updated version of MetaLab, a software solution that streamlines metaproteomic analysis by supporting both DDA and DIA modes across various mass spectrometry (MS) platforms, including Orbitrap and timsTOF. MetaLabs key feature is its ability to perform DIA analysis without DDA results, allowing more experimental flexibility. It incorporates a deep learning strategy to train a neural network model, enhancing the accuracy and coverage of DIA results. Evaluations using diverse datasets demonstrate MetaLabs robust performance in accuracy and sensitivity. Benchmarks from large-scale human gut microbiome studies show that MetaLab increases peptide identification by 2.7 times compared to conventional methods. MetaLab is a versatile tool that facilitates comprehensive and flexible metaproteomic data analysis, aiding researchers in exploring microbial communities functionality and dynamics.

bioinformatics↗

A Method for Visual Psychophysics based on the Navigational Behaviour of Desert Ants (Melophorus bagoti)

The Australian desert ant Melophorus bagoti is known to navigate in their complex visual environment relying on path integration and landmark learning. We investigated the navigational behaviour of desert ants in response to visual stimulus changes along their route to a food source. Ants were trained to self-navigate a track between their nest and a feeder, with visual stimuli introduced near the feeder. After three days of training, we altered the visual scene by changing colours and observed the ants reactions. The results showed that ants in the test conditions, when visual changes were introduced, displayed more meandering paths, increased scanning behaviour, and slower speeds compared to control conditions. The sinuosity of their paths increased, and their orientation became less efficient. Additionally, changes in colour led to significant alterations in path characteristics, including a higher frequency of head oscillations and deviations from straight-line paths. These findings suggest that disruption to visual cues used for navigation causes noticeable changes in their movement patterns. A subset of these changes, easy to measure and calculate, can provide a signature to indicate that ants have detected a change in the visual stimuli. This proof-of-concept study thus highlights a method for studying visual psychophysics in ants in their natural habitat.

animal behavior and cognition↗

Route Learning and Transport of Resources during Colony Relocation in Australian Desert Ants

Many ant species are able to respond to dramatic changes in local conditions by relocating the entire colony to a new location. While we know that careful learning walks enables the homing behavior of foraging ants to their original nest, we do not know whether additional learning is required to navigate to the new nest location. To answer this question, we investigated the nest relocation behavior of a colony of Australian desert ants Melophorus bagoti that relocated their nest in response to heavy rainfall in the semi-desert terrain of Alice Springs. We identified five types of behavior: exploration between nests (Old-to-New nest and New-to-Old nest), transport from Old to New nest, and re-learning walks at Old and New nests. Initially, the workers performed relearning walks at the Old nest and exploratory walks between the Old and New nests. Once they completed the exploratory walks, the workers transported resources and brood to the new nest. Finally, we observed the workers performing relearning walks at the New nest. While the relearning walks at the Old nest were slow and appear to enable exploratory walks to the New nest, the relearning walks at the new nest were faster and appeared to enable homing from foraging trips. These observations shed insight on how learning helps these ants to respond to sudden changes in their environment. Statement of significanceIn this study, we examined one nest of red honey ants, Melophorus bagoti, in Central Australia relocating their nest after a spell of heavy rainfall, which, we presumed, damaged the nest that the colony was living in. After the new nest some 20 m away was mostly dug, we examined the behaviors that orchestrated the move. Workers did a bit of learning of the route to the new nest before transporting any resources. They executed short loops around the old nest, mostly aimed in the direction of the new nest, known as relearning walks. Then they walked back and forth between the old and new nests without carrying any resources, a process we called exploration walks. Then the workers undertook the laborious process of moving house, that is, transporting workers unfamiliar with the route, larvae, and pupae to the new nest. After this stage, we observed ants doing more relearning walks at the new nest in preparation for foraging from their new home. These relearning walks covered all directions around the nest. Our study showed for the first time the importance of the process of learning in nest relocation, a key response to extreme environmental challenges, broadening the role of learning in the lives of these social insects.

animal behavior and cognition↗

Evolution of the Spatial transcriptomic landscape during the progression of high-grade pancreatic intraductal papillary mucinous neoplasms to invasive cancer

Intraductal papillary mucinous neoplasms (IPMN) is one of the known precancerous lesions. Patients prognosis is aggravated as IPMN transforms into invasive Pancreatic Ductal Adenocarcinoma (PDAC). The molecular mechanisms underlying this progression lack effective experimental models and urgently need to be elaborated. We performed spatial transcriptomics (ST) on fresh tissue samples from the same patient including normal pancreas, high-grade IPMN, and invasive PDAC, and described the step-by-step development of transcriptional landscape including clone evolution and adjacent TME feature variation. Our findings identified the master transcript factors and critical signaling pathways promoting IPMN progression to invasive PDAC. Additionally, both IPMN and PDAC harbored the ELF3, MYC, and KLF4 amplification. The Spatial CNV profile demonstrated significant heterogeneity among PDAC in their spatial distribution compared to IPMN, with seven distinct subclones showing diverse functions, such as hypoxia, oxidative phosphorylation, and epithelial-mesenchymal Transition. We observed a marked shift in the immune landscape, with the depletion of CD4+ T-cells and dendritic cells and an increase in immune-suppressive M2 macrophages in invasive PDAC, indicating a transition to an immune-evasive microenvironment. Additionally, cancer-associated fibroblasts (CAFs), particularly myofibroblastic CAFs, were enriched adjacent to invasive PDAC, suggesting their active role in tumor progression. By leveraging spatial transcriptomic analysis, our study provides comprehensive insights into the intricate molecular landscape that underlies the progression of IPMNs to invasive PDAC. These findings not only enhance our understanding of this complex process but also offer valuable knowledge for early diagnosis and intervention. HighlightsO_LISpatial CNV analysis reveals clonal evolution and distinct subclones in PDAC. C_LIO_LIKey drivers like ELF3, MYC, and KLF4 are amplified in both IPMN and invasive PDAC. C_LIO_LIImmune landscape shifts from pro-inflammatory in IPMN to immune-evasive in PDAC. C_LIO_LIEnrichment of myofibroblastic CAFs suggests their role in tumor progression C_LI

cancer biology↗

UniPTM: Multiple PTM site prediction on full-length protein sequence

AbstractPost-translational modifications (PTMs) enrich the functional diversity of proteins by attaching chemical groups to the side chains of amino acids. In recent years, a myr-iad of AI models have been proposed to predict many specific types of PTMs. However, those models typically adopt the sliding window approach to extract short and equal-length protein fragments from full-length proteins for model training. Unfortunately, such a subtle step results in the loss of long-range information from distal amino acids, which may impact the PTM formation process. In this study, we introduce UniPTM, a window-free model designed to train and test on natural and full-length protein sequences, enabling the prediction of multiple types of PTMs in a holistic manner. Moreover, we established PTMseq, the first comprehensive dataset of full-length pro-tein sequences with annotated PTMs, to train and validate our model. UniPTM has undergone extensive validations and significantly outperforms existing models, eluci-dating the influence of protein sequence completeness on PTM. Consequently, UniPTM offers interpretable and biologically meaningful predictions, enhancing our understand-ing of protein functionally and regulation. The source code and PTMseq dataset for UniPTM are available at https://www.github.com/TransPTM/UniPTM.

bioinformatics↗

Desert ant (Melophorus bagoti) dumpers learn from experience to improve waste disposal and show spatial fidelity

The Central Australian red honey-pot ant Melophorus bagoti maintains non-cryptic ground-nesting colonies in the semi-desert habitat, performing all the activities outside the nest during the hottest periods of summer days. These ants rely on path integration and view-based cues for navigation. They manage waste by taking out unwanted food, dead nestmates, and some other wastes, typically depositing such items at distances > 5 m from the nest entrance, a process called dumping. We found that over multiple runs, dumpers headed in the same general direction, showing sector fidelity. Experienced ants dumped waste more efficiently than naive ants. Naive individuals, lacking prior exposure to the outdoor environment around the nest, exhibited much scanning and meandering during waste disposal. In contrast, experienced ants dumped waste with straighter paths and a notable absence of scanning behaviour. Furthermore, experienced dumpers deposited waste at a greater distance from the nest compared to their naive counterparts. We also investigated the navigational knowledge of naive and experienced dumpers by displacing them 2 metres away from the nest. Naive dumpers were not oriented towards the nest in their initial trajectory at any of the 2m test locations, whereas experienced dumpers were oriented towards the nest at all test locations. Naive dumpers were nest-oriented as a group, however, at the test location nearest to where they dumped their waste. These differences suggest that in red honey ants, learning supports waste disposal, with dumping being refined through experience. Dumpers gain greater spatial knowledge through repeated runs outside the nest, contributing to successful homing behaviour. Simple SummaryEusocial insects maintain hygiene in their nests with cleaning behaviours. One such behaviour is the disposal of refuse material, food waste, dead nestmate bodies, and other waste, outside the nest. This study on the waste disposal behaviour of Central Australian red honey-pot ants, Melophorus bagoti, provides valuable insights into the significance of learning in waste disposal. Naive ants improved over five consecutive runs in waste dumping, running straighter paths with less scanning. The observed differences between experienced and naive ants in waste dumping imply that learning contributes to more streamlined and less time-consuming waste management. In addition, dumping ants established sector fidelity in the consecutive runs, heading mostly in the same general direction on each dumping trip. This behaviour reduces the amount of navigational expertise that the dumper has to acquire. Learning in individuals thus helps an ant colony to cope with not only navigational challenges in foraging, which have been well studied in this and other desert ant species, but also with other demands of living in a harsh desert habitat.

animal behavior and cognition↗

Generation of spermatogonia from pluripotent stem cells in humans and non-human primates

Failures in germline development drive male infertility, but the lack of model systems that recapitulate human spermatogenesis hampers therapeutic development. Here, we have developed a system to differentiate human induced pluripotent stem cells (iPSCs) into primordial germ cell-like cells that self-organize within xenogeneic reconstituted testes (xrTestes) generated from mouse fetal testicular cells. Subsequent transplant of xrTestes into immunodeficient mice resulted in efficient generation of undifferentiated and differentiated spermatogonia as well as preleptotene spermatocytes with striking similarities to their in vivo counterparts. As future clinical application will require testing in non-human primates, we utilized a similar strategy to differentiate rhesus iPSCs through all fetal germ cell stages into spermatogonia-like cells. Together, these models will serve as steppingstone to completion of human male in vitro gametogenesis.

developmental biology↗

Defining the cellular origin of seminoma by transcriptional and epigenetic mapping to the normal human germline

Aberrant male germline development can lead to the formation of seminoma, a testicular germ cell tumor. Seminomas are biologically similar to primordial germ cells (PGCs) and many bear an isochromosome 12p [i(12p)] with two additional copies of the short arm of chromosome 12. By mapping seminoma transcriptomes and open chromatin landscape onto a normal human male germline trajectory, we find that seminoma resembles premigratory/migratory primordial germ cells, but exhibit enhanced germline and pluripotency programs, and upregulation of genes involved in apoptosis, angiogenesis, and MAPK/ERK pathways. Using pluripotent stem cell-derived PGCs from Pallister Killian syndrome patients mosaic for i(12p) to model seminoma, we identify gene dosage effects that may contribute to transformation. As murine seminoma models do not exist, our analyses provide critical insights into genetic, cellular and signaling programs driving seminoma transformation, and the newly developed in vitro platform permits evaluation of additional signals required for seminoma tumorigenesis.

developmental biology↗

Assessing fecal metaproteomics workflow and small protein recovery using DDA and DIA PASEF mass spectrometry

AimThis study aims to evaluate the impact of experimental workflow on fecal metaproteomic observations, including the recovery of small and antimicrobial proteins often overlooked in metaproteomic studies. The overarching goal is to provide guidance for optimized metaproteomic experimental design, considering the emerging significance of the gut microbiome in human health, disease, and therapeutic interventions. MethodsMouse feces were utilized as the experimental model. Fecal sample pre-processing methods (differential centrifugation and non-differential centrifugation), protein digestion techniques (in-solution and filter-aided), data acquisition modes (data-dependent and data-independent, or DDA and DIA) when combined with parallel accumulation-serial fragmentation (PASEF), and different bioinformatic workflows were assessed. ResultsWe showed that, in DIA-PASEF metaproteomics, the library-free search using protein sequence database generated from DDA-PASEF data achieved better identifications than using the generated spectral library. Compared to DDA, DIA-PASEF identified more microbial peptides, quantified more proteins with less missing values, and recovered more small antimicrobial proteins. We didnt observe obvious impacts of protein digestion methods on both taxonomic and functional profiles. However, differential centrifugation decreased the recovery of small and antimicrobial proteins, biased the taxonomic observation with a marked over-estimation of Muribaculum species, and altered the measured functional compositions of metaproteome. ConclusionThis study underscores the critical impact of experimental choices on metaproteomic outcomes and sheds light on the potential biases introduced at different stages of the workflow. The comprehensive methodological comparisons serve as a valuable guide for researchers aiming to enhance the accuracy and completeness of metaproteomic analyses.

microbiology↗

From Sight to Insight: A Multi-task Approach with the Visual Language Decoding Model

Visual neural decoding aims to unlock the mysteries of how the human brain interprets the visual world. While early studies made some progress in decoding visual activity for singular type of information, they failed to concurrently reveal the multi-level interweaving linguistic information in the brain. Here, we developed a novel Visual Language Decoding Model (VLDM) capable of decoding categories, semantic labels, and textual descriptions from visual perceptual activities simultaneously. We selected the large-scale NSD dataset to ensure the efficiency of the decoding model in joint training and evaluation across multiple tasks. For category decoding, we achieved the effective classification of 12 categories with an accuracy of nearly 70%, significantly surpassing the chance level. For label decoding, we attained the precise prediction of 80 specific semantic labels with a 16-fold improvement over the chance level. For text decoding, the scores of the decoded text surpassed the corresponding baseline levels by remarkable margins on six evaluation metrics. This study contributes significantly to extensive applications in multi-layered brain-computer interfaces, potentially leading to more natural and efficient human-computer interaction experiences.

neuroscience↗

Chromosome 7 to the rescue: overcoming chromosome 10 loss in gliomas

The co-occurrence of chromosome 10 loss and chromosome 7 gain in gliomas is the most frequent loss-gain co-aneuploidy pair in human cancers, a phenomenon that has been investigated without resolution since the late 1980s. Expanding beyond previous gene-centric studies, we investigate the co-occurrence in a genome-wide manner taking an evolutionary perspective. First, by mining large tumor aneuploidy data, we predict that the more likely order is 10 loss followed by 7 gain. Second, by analyzing extensive genomic and transcriptomic data from both patients and cell lines, we find that this co-occurrence can be explained by functional rescue interactions that are highly enriched on 7, which can possibly compensate for any detrimental consequences arising from the loss of 10. Finally, by analyzing transcriptomic data from normal, non-cancerous, human brain tissues, we provide a plausible reason why this co-occurrence happens preferentially in cancers originating in certain regions of the brain.

cancer biology↗

Moonlight Polarisation Pattern Guides Nocturnal Bull Ants Home

For the first time in any animal, we show that nocturnal bull ants use the exceedingly dim polarisation pattern produced by the moon for overnight navigation. The sun or moon can provide directional information via their position; however, they can often be obstructed by clouds, canopy or the horizon. Despite being hidden, these bodies can still provide compass information through the polarised light pattern they produce/reflect. Sunlight produces polarised light patterns across the overhead sky as it enters the atmosphere, and solar polarised light is a well-known compass cue for navigating animals. Moonlight produces an analogous pattern, albeit a million times dimmer than sunlight. Here we show evidence that polarised moonlight forms part of the celestial compass of navigating nocturnal ants. Nocturnal bull ants leave their nest at twilight and rely heavily on the overhead solar polarisation pattern to navigate. Yet many foragers return home overnight when the sun cannot guide them. We demonstrate that these bull ants use polarised moonlight to navigate home during the night, by rotating the overhead polarisation pattern above homing ants, who alter their headings in response. Furthermore, these ants can detect this cue throughout the lunar month, even under crescent moons, when polarised light levels are at their lowest. Finally, we show long-term incorporation of this moonlight pattern into the ants path integration system throughout the night for homing, as polarised sunlight is incorporated throughout the day.

animal behavior and cognition↗

WRN Inhibition Leads to its Chromatin-Associated Degradation Via the PIAS4-RNF4-p97/VCP Axis

Synthetic lethality, the concept in which the co-occurrence of two genetic events leads to cell death while either single event alone does not, is an attractive strategy for targeted cancer therapies. A recent example of synthetic lethality as a therapeutic paradigm is the observation that cancer cells with high levels of microsatellite instability (MSI-H) are dependent on the Werner (WRN) RecQ helicase for survival. However, the mechanisms that regulate WRN spatiotemporal dynamics are not fully understood. In this study, we used our single molecule tracking (SMT) platform in combination with a recently disclosed WRN inhibitor to gain insights into WRNs dynamic localization within the nuclei of live cancer cells. We observe that WRN inhibition results in the helicase becoming trapped on chromatin, requiring p97/VCP for extraction and shuttling to the proteasome for degradation. Interestingly, this sequence of events resulting in WRN degradation appears to be MSI-H dependent. Using a phenotypic screen, we identify the PIAS4-RNF4 axis as the pathway responsible for WRN degradation and show that co-inhibition of WRN and SUMOylation has an additive toxic effect in MSI-H cells. Taken together, our work elucidates a novel regulatory mechanism for WRN. Gaining a deeper understanding into this regulatory pathway for WRN can aid in the identification of new high value targets for targeted cancer therapies.

molecular biology↗

AMP-activated protein kinase is necessary for Treg cell functional adaptation to microenvironmental stress

CD4+FOXP3+ regulatory T (Treg) cells maintain self-tolerance, suppress the immune response to cancer, and protect against tissue injury in the lung and other organs. Treg cells require mitochondrial metabolism to exert their function, but how Treg cells adapt their metabolic programs to sustain and optimize their function during an immune response occurring in a metabolically stressed microenvironment remains unclear. Here, we tested whether Treg cells require the energy homeostasis-maintaining enzyme AMP-activated protein kinase (AMPK) to adapt to metabolically aberrant microenvironments caused by malignancy or lung injury, finding that AMPK is dispensable for Treg cell immune-homeostatic function but is necessary for full Treg cell function in B16 melanoma tumors and during acute lung injury caused by influenza virus pneumonia. AMPK-deficient Treg cells had lower mitochondrial mass and exhibited an impaired ability to maximize aerobic respiration. Mechanistically, we found that AMPK regulates DNA methyltransferase 1 to promote transcriptional programs associated with mitochondrial function in the tumor microenvironment. In the lung during viral pneumonia, we found that AMPK sustains metabolic homeostasis and mitochondrial activity. Induction of DNA hypomethylation was sufficient to rescue mitochondrial mass in AMPK-deficient Treg cells, linking DNA methylation with AMPK function and mitochondrial metabolism. These results define AMPK as a determinant of Treg cell adaptation to metabolic stress and offer potential therapeutic targets in cancer and tissue injury.

immunology↗

Temporal genomic analysis of melanoma rejection identifies regulators of tumor immune evasion

Decreased intra-tumor heterogeneity (ITH) correlates with increased patient survival and immunotherapy response. However, even highly homogenous tumors may display variability in their aggressiveness, and how immunologic-factors impinge on their aggressiveness remains understudied. Here we studied the mechanisms responsible for the immune-escape of murine tumors with low ITH. We compared the temporal growth of homogeneous, genetically-similar single-cell clones that are rejected vs. those that are not- rejected after transplantation in-vivo using single-cell RNA sequencing and immunophenotyping. Non- rejected clones showed high infiltration of tumor-associated-macrophages (TAMs), lower T-cell infiltration, and increased T-cell exhaustion compared to rejected clones. Comparative analysis of rejection- associated gene expression programs, combined with in-vivo CRISPR knockout screens of candidate mediators, identified Mif (macrophage migration inhibitory factor) as a regulator of immune rejection. Mif knockout led to smaller tumors and reversed non-rejection-associated immune composition, particularly, leading to the reduction of immunosuppressive macrophage infiltration. Finally, we validated these results in melanoma patient data. Statement of significanceHere, we uncover the association of Mif expression with tumor growth and aggressiveness, specifically in low ITH tumors. These findings could facilitate the development of new strategies to treat patients with homogeneous, high-MIF expressing tumors that are unresponsive to immune checkpoint therapy.

cancer biology↗

Flap endonuclease 1 repairs DNA-protein crosslinks via ADP-ribosylation

DNA-protein crosslinks (DPCs) are among the most ubiquitous and detrimental DNA lesions which arise from exposure to metabolic stresses, drugs, or crosslinking agents such as formaldehyde (FA). FA is a cellular by-product of methanol metabolism, histone demethylation, lipid peroxidation as well as environmental pollutants. Failure to repair FA-induced DPCs blocks nearly all chromatin-based processes including replication and transcription, leading to immunodeficiencies, neurodegeneration, and cancer. Yet, it remains largely unknown how the cell repairs DPCs. The study of DPC repair is impeded by our incomprehension of the types of proteins crosslinked by FA due to the lack of techniques to identify the DPCs. Here, we designed a novel bioassay to profile FA-induced DPCs by coupling cesium chloride differential ultracentrifugation with HPLC-mass spectrometry (MS). Using the method, we revealed the proteome of FA-induced DPCs in human cells and found that the most abundant proteins that form DPCs are PARP1, topoisomerases I and II, methyltransferases, DNA and RNA polymerases, histones, as well as ribosomal proteins. To identify enzymes that repair DPCs, we carried out RNA interference screening and found that downregulation of flap endonuclease 1 (FEN1) rendered cells hypersensitive to FA. Since FEN1 possesses 5-flap endonuclease activity, we hypothesized that FA induces DPC-conjugated 5-flap DNA fragments that can be processed by FEN1. Indeed, we demonstrate that FA damages DNA bases that are converted into 5-flap via the base excision pathway (BER). We also observed that the damaged DNA bases were colocalized with DPCs and FEN1. Mechanistically, we showed that FEN1 repairs FA-induced DPCs in vivo and cleaves 5-flap DNA substrate harboring DPC mimetic in vitro. We also found that FEN1 repairs enzymatic topoisomerase II (TOP2)-DPCs induced by their inhibitors etoposide and doxorubicin independently of the BER pathway, and that FEN1 and the DPC-targeting protease SPRTN act as parallel pathways for the repair of both FA-induced non-enzymatic DPCs and etoposide-induced enzymatic TOP2-DPCs. Notably, we found that FA-induced non-enzymatic DPCs and enzymatic TOP2-DPCs are promptly modified by poly-ADP-ribosylation (PARylation), a post-translational modification catalyzed by PARP1, a key DNA damage response effector that acts by PARylating both DNA damage sites and DNA repair proteins. We performed immunoprecipitation (IP) assays with anti-PAR antibody for HPLC-MS and identified FEN1 as a PARylation substrate. Next, we showed that PARylation of DPC substrates signaled FEN1 whereas PARylation of FEN1 drove FEN1 to DPC sites. Finally, using the enzymatic labeling of the terminal ADP-ribose-MS method, we identified the E285 residue of FEN1 as a dominant PARylation site, which appeared to be required for FEN1 relocation to DPCs. Taken together, our work not only unveiled the identities of FA-induced DPCs but also discovered an unprecedented PARP1-FEN1 nuclease pathway as a universal and imperative mechanism to repair the miscellaneous DPCs and prevent DPC-induced genomic instability.

molecular biology↗