Biology subjects

Feng, X.

Publications and source records attributed to Feng, X..

At least 109 records · Page 6Linked to original sources

bioRxiv2023

Mesenchymal Wnts are required for morphogenetic movements of calvarial osteoblasts during apical expansion

Apical expansion of calvarial osteoblast progenitors from the cranial mesenchyme (CM) above the eye is integral for calvarial growth and enclosure of the brain. The cellular behaviors and signals underlying the morphogenetic process of calvarial expansion are unknown. During apical expansion, we found that mouse calvarial primordia have consistent cellular proliferation, density, and survival with complex tissue scale deformations, raising the possibility that morphogenetic movements underlie expansion. Time lapse light sheet imaging of mouse embryos revealed that calvarial progenitors intercalate in 3D to converge supraorbital arch mesenchyme mediolaterally and extend it apically. In contrast, progenitors located further apically exhibited protrusive and crawling activity. CM cells express non-canonical Wnt/Planar Cell Polarity (PCP) core components and calvarial osteoblasts are bidirectionally polarized. We found non-canonical ligand, Wnt5a-/- mutants have less dynamic cell rearrangements, protrusive activity, and a flattened head shape. Loss of cranial mesenchyme-restricted Wntless (CM-Wls), a gene required for secretion of all Wnt ligands, led to diminished apical expansion of OSX+ calvarial osteoblasts in the frontal bone primordia in a non-cell autonomous manner without perturbing proliferation or survival. Calvarial osteoblast polarization, progressive cell elongation and enrichment for actin cytoskeleton protein along the baso-apical axis were dependent on CM-Wnts. Thus, CM-Wnts regulate cellular behaviors during calvarial morphogenesis and provide tissue level cues for efficient apical expansion of calvarial osteoblasts. These findings also offer potential insights into the etiologies of calvarial dysplasias.

developmental biology↗

bioRxiv2023

The hydrogen isotope signatures of autotrophy versus heterotrophy recorded in archaeal tetraether lipids

The stable hydrogen isotope composition of archaeal lipids is emerging as a potential paleoenvironmental proxy, adding to the well-established application of plant leaf wax-derived n-alkanes in paleohydrological reconstruction. A handful of studies reported relatively invariant and depleted hydrogen isotope compositions for archaeal lipids despite the range of different organisms and growth conditions explored. However, how modes of metabolism and physiological state (growth phase) affect the hydrogen isotope signatures of archaeal lipids remains poorly understood, limiting our ability to interpret archaeal lipid biomarker records from the environment. Here we conducted water isotope label experiments with a metabolically flexible and well-studied model archaeon Archaeoglobus fulgidus and quantified the hydrogen isotope fractionation between lipids and water in response to different carbon substrates and electron donor-acceptor pairs. The 2H/1H fractionation between lipids and water ({varepsilon}L/W) was overall negative, ranging from -280 to -226 {per thousand}, and overlapped with the ranges observed for other archaea in previous studies. Isotope flux-balance model results suggest that [≥]80 % and [≥]50 % of lipid-bound H in A. fulgidus cultures directly reflect water isotope compositions (i.e., not via organic substrate or H2) during autotrophy and heterotrophy, respectively. The model results also suggest the final saturation during isoprenoid lipid biosynthesis catalyzed by a flavoenzyme geranylgeranyl reductase likely contributes to the large 2H/1H fractionation observed in this study, consistent with previous isotope flux-balance model results for a different archaeon. Finally, we synthesized available data to compare {varepsilon}L/W patterns across all three domains of life: Bacteria, Archaea and Eukarya. Emerging patterns between archaeal and eukaryotic lipids are consistent with the notion of highly fractionating geranylgeranyl reductase, and the patterns between archaeal and bacterial lipids suggest that the general state of energy limitation may also contribute to large, negative values of {varepsilon}L/W observed in prokaryotic lipids. Altogether, these findings lend further support for the potential of archaeal lipid {varepsilon}L/W as a paleohydrological proxy and provide a broader insight into the 2H/1H fractionation mechanisms potentially shared among prokaryotic and eukaryotic lipid biomarkers.

microbiology↗

bioRxiv2023

Sex chromosome turnover in hybridizing stickleback lineages

Recent discoveries of sex chromosome diversity across the tree of life have challenged the canonical model of conserved sex chromosome evolution and evoked new theories on labile sex chromosomes that maintain less differentiation and undergo frequent turnover. However, theories of labile sex chromosome evolution lack direct empirical support due to the paucity of case studies demonstrating ongoing sex chromosome turnover in nature. Two divergent lineages (viz. WL & EL) of nine-spined sticklebacks (Pungitius pungitius) with different sex chromosomes (linkage group [LG] 12 in the EL, unknown in the WL) hybridize in a natural secondary contact zone in the Baltic Sea, providing an opportunity to study ongoing turnover between coexisting sex chromosomes. We first identified an 80 kbp genomic region on LG3 as the sex-determining region (SDR) using whole-genome resequencing data of family crosses. We then verified this region as the SDR in most other WL populations and demonstrated an ongoing sex chromosome turnover in admixed marine populations where the evolutionarily younger and homomorphic LG3 sex chromosomes replace the older and heteromorphic LG12 sex chromosomes. The results provide a rare glimpse of ongoing sex chromosome turnover and indicate possible existence of additional but yet undiscovered sex chromosome diversity in Pungitius sticklebacks. TeaserEvolutionarily young sex chromosomes replace the older ones in the hybrid zone of European Pungitius stickleback lineages.

evolutionary biology↗

bioRxiv2023

ntsm: an alignment-free, ultra low coverage, sequencing technology agnostic, intraspecies sample comparison tool for sample swap detection

BackgroundDue to human error, sample swapping in large cohort studies with heterogeneous data types (e.g. mix of Oxford Nanopore, Pacific Bioscience, Illumina data, etc.) remains a common issue plaguing large-scale studies. At present, all sample swapping detection methods require costly and unnecessary (e.g. if data is only used for genome assembly) alignment, positional sorting, and indexing of the data in order to compare similarly. As studies include more samples and new sequencing data types, robust quality control tools will become increasingly important. FindingsThe similarity between samples can be determined using indexed k-mer sequence variants. To increase statistical power, we use coverage information on variant sites, calculating similarity using a likelihood ratio-based test. Per sample error rate, and coverage bias (i.e. missing sites) can also be estimated with this information, which can be used to determine if a spatially indexed PCA-based pre-screening method can be used, which can greatly speed up analysis by preventing exhaustive all-to-all comparisons. ConclusionsBecause this tool processes raw data, is faster than alignment, and can be used on very low coverage data, it can save an immense degree of computational resources in standard QC pipelines. It is robust enough to be used on different sequencing data types, important in studies that leverage the strengths of different sequencing technologies. In addition to its primary use case of sample-swap detection, this method provides other useful information useful in QC, such as error rate and coverage bias, as well as population-level PCA ancestry analysis visualization.

bioinformatics↗

bioRxiv2023

The evolution of multiply substituted isotopologues of methane during microbial aerobic oxidation

Aerobic methane oxidation (AeOM) is an important biological sink of methane on Earth. Stable isotopes are critical tools in tracking the sources and sinks of Earths surface methane budget. However, the major factors that influence the two multiply-substituted (clumped) isotope signatures of AeOM, {Delta}13CH3D and {Delta}12CH2D2, are not well known. Here we quantify the influence of kinetics as a function of temperature, and different methane monooxygenase (MMO) enzymes as a function of copper, on the isotopologue concentrations of residual methane by the obligate aerobic methanotroph, Methylococcus capsulatus (Bath). We observe deviations from traditional closed-system distillation (Rayleigh) fractionation during exponential growth at high oxidation rates. We model this as a reservoir effect controlled by the ratio of oxidation rate in the cells to transport rate of methane into the cells, where environmental temperature affects both rates. We also test whether clumped isotope fractionation values vary for the particulate versus soluble MMOs, but the results show minimal differences. We further determine that the back reaction (re-equilibration) of methane with medium water is unlikely. Together, the observations and model demonstrate that at low oxidation-to-transport ratios, the clumped isotope signatures follow canonical Rayleigh fractionation, whereas at high ratios, more positive {Delta}12CH2D2 values result, deviating from simple Rayleigh-like trajectories. This study shows that the methane oxidation-to-transport ratio is a critical influence on clumped isotope signatures of AeOM that should be considered when interpreting the isotopic data of natural methane samples in both open and closed systems.

microbiology↗

bioRxiv2023

Rationale design of unrestricted pRN1 derivatives and their application in construction of a dual plasmid vector system for Saccharolobus islandicus

Saccharolobus islandicus REY15A represents one of the very few archaeal models with versatile genetic tools, including efficient genome editing, gene silencing and robust protein expression systems. However, plasmid vectors constructed for this crenarchaeon thus far are solely based on the pRN2 cryptic plasmid. Although this plasmid co-exists with pRN1 in their original host, early attempts to test pRN1-based vectors consistently failed to yield any stable host-vector system for Sa. islandicus. Herein we identified a putative target sequence in orf904 encoding a putative replicase on pRN1 (TargetN1). Mutated targets were then designed (N1a, N1b, N1c) and tested for their capability of escaping from the host CRISPR immunity by using plasmid interference assay. This revealed that the original target triggers the CRISPR immunity in this archaeon whereas all three mutated targets do not, indicating that all designed target mutations evade the host immunity. These mutated targets were then incorporated into orf904 individually, yielding corresponding mutated pRN1 backbones with which shuttle plasmids were constructed (pN1aSD, pN1bSD and pN1cSD). Sa. islandicus transformation revealed that pN1aSD and pN1bSD were functional shuttle vectors, but pN1cSD lost the capability of replication. In addition, pRN1-based and pRN2-based vectors were stably maintained in the archaeal cells either alone or in combination, and this yielded a dual plasmid system for genetic study with this important archaeal model. Impact statementWhen pRN1 was employed for vector construction in Saccharolobus islandicus REY15A, pRN1-derived vectors are not stable in this archaeon. Here we show that pRN1 orf904 encoding a putative replicase on pRN1 carries a DNA segment to be targeted by the host I-A CRISPR system. By designing mutated target sequences that evade the CRISPR immunity, efficient plasmid vectors were obtained with mutated pRN1 backbones. This strategy could be applied in developing host-vector systems for other microorganisms with plasmids or viruses carrying CRISPR target sequences. Moreover, the resulting dual vector system would facilitate genetic studies with this crenarchaeal model.

microbiology↗

bioRxiv2023

Biosynthesis of H-GDGTs linked to ocean oxygen deficiency

Archaeal membrane lipids GDGTs (glycerol dialkyl glycerol tetraethers) are biomarkers used for tracking Earths historical environmental changes. Among these GDGTs, the H-shaped GDGTs (H-GDGTs, or GMGTs) represent a less-explored and often overlooked subset, with its biosynthetic pathway and geological significance remaining elusive. Here, we identified the gene responsible for biosynthesizing H-GDGTs, which encodes to a radical S-adenosyl-L-methionine (SAM) enzyme, named as H-GDGTs bridge synthase (Hbs). Heterologous expression of the gene hbs in a methanogen, as well as in vitro activity assay using the purified Hbs enzyme were performed. Additionally, we found that the genes encoding Hbs are exclusively present in obligate anaerobic archaea genomes and the metagenomes obtained from oxygen-deficient environments, but not in oxic settings. The H-GDGTs lipids were also consistently enriched in the modern oxygen-deficient environments, and remarkably accumulated in ancient sediments during oceanic anoxic event-2 (OAE-2, [~]94 million years ago) period. Our findings indicate H-GDGTs holds significant promise as a novel biomarker for studying historical ocean oxygen deficiency supported by a well-established biological basis.

microbiology↗

bioRxiv2023

Network level enrichment provides a framework for biological interpretation of machine learning results

Machine learning algorithms are increasingly used to identify brain connectivity biomarkers linked to behavior and clinical outcomes. However, non-standard methodological choices in neuroimaging datasets, especially those with families or twins, have prevented robust machine learning applications. Additionally, prioritizing prediction accuracy over biological interpretability has made it challenging to understand the biological processes behind psychopathology. In this study, we employed a linear support vector regression model to study the relationship between resting-state functional connectivity networks and chronological age using data from the Human Connectome Project. We examined the effect of shared variance from twins and siblings by using cross-validation, either randomly assigning or keeping family members together. We also compared models with and without a Pearson feature filter and utilized a network enrichment approach to identify predictive brain networks. Results indicated that not accounting for shared family variance inflated prediction performance, and the Pearson filter reduced accuracy and reliability. Enhancing biological interpretability was achieved by inverting the machine learning model and applying network-level enrichment on the connectome, while directly using regression coefficients as feature weights led to misleading interpretations. Our findings offer crucial insights for applying machine learning to neuroimaging data, emphasizing the value of network enrichment for comprehensible biological interpretation.

neuroscience↗

bioRxiv2023

Integrating large-scale meta-GWAS and PigGTEx resources to decipher the genetic basis of complex traits in pig.

Understanding the molecular and cellular mechanisms that underlie complex traits in pigs is crucial for enhancing their genetic improvement program and unleashing their substantial potentials in human biomedicine research. Here, we conducted a meta-GWAS analysis for 232 complex traits with 28.3 million imputed whole-genome sequence variants in 70,328 individuals from 14 pig breeds. We identified a total of 6,878 genomic regions associated with 139 complex traits. By integrating with the Pig Genotype-Tissue Expression (PigGTEx) resource, we systemically explored the biological context and regulatory circuits through which these trait-associated variants act and finally prioritized 16,664 variant-gene-tissue-trait circuits. For instance, rs344053754 regulates the expression of UGT2B31 in the liver by affecting the activity of regulatory elements and ultimately influences litter weight at weaning. Furthermore, we investigated the conservation of genetic and regulatory mechanisms underlying 136 human traits and 232 pig traits. Overall, our multi-breed meta-GWAS in pigs provides invaluable resources and novel insights for understanding the regulatory and evolutionary mechanisms of complex traits in both pigs and humans.

genetics↗

bioRxiv2023

Pan-genome of pear provides insights into the differentiation of fruit quality traits between Asian and European pears

The pear (Pyrus spp.) is a remarkable fruit, well known for its diverse flavors, textures, culinary versatility, and global horticultural importance. However, the genetic diversity responsible for its extensive phenotypic variations remains largely unexplored. Here, we de novo assembled and annotated the genomes of the maternal (PsbM) and paternal (PsbF) lines of the hybrid Yuluxiang pear and constructed the first pear pangenome of 1.15Gb by combining these two genomes with five previously published pear genomes. Using the constructed pangenome, we identified 21,224 gene PAVs and 1,158,812 SNPs in the non-reference genome that were absent in the PsbM reference genome. Compared with SNP markers, we found that PAV-based analysis provides additional insights into the pear population structure. In addition, we also revealed that some genes associated with pear fruit quality traits have differential occurrence frequencies and differential gene expression between Asian and European populations. Moreover, our analysis of the pear pangenome revealed a mutated SNP and an insertion in the promoter region of the gene PsbMGH3.1 potentially enhances sepal shedding in Xuehuali which is vital for pear quality. This research helps further capture the genetic diversity of pear populations and provides valuable genomic resources for accelerating pear breeding.

genomics↗

bioRxiv2023

Secondary contact, introgressive hybridization and genome stabilization in sticklebacks

Advances in genomic studies have revealed that hybridization in nature is pervasive and raised questions about the dynamics of different genetic and evolutionary factors following the initial hybridization event. While recent research has proposed that the genomic outcomes of hybridization might be predictable to some extent, many uncertainties remain. With comprehensive whole-genome sequence data, we investigated the genetic introgression between two divergent lineages of nine-spined sticklebacks (Pungitius pungitius) in the Baltic Sea. We found that the intensity and direction of selection on the introgressed variation varied across different genomic elements: while functionally important regions had experienced reduced rates of introgression, promoter regions showed enrichment. Despite the general trend of negative selection, we identified specific genomic regions that were enriched for introgressed variants and within these regions, we detected footprints of selection, indicating adaptive introgression. We found the selection against the functional changes to be strongest in the vicinity of the secondary contact zone and weaken as a function of distance from the initial contact. Altogether, the results suggest that the stabilization of introgressed variation in the genomes is a complex, multi-stage process involving both negative and positive selection. In spite of the predominance of negative selection against introgressed variants, we also found evidence for adaptive introgression variants likely associated with adaptation to Baltic Sea environmental conditions.

genomics↗

bioRxiv2023

3D Printed Ti3C2Tx MXene/PCL Scaffolds for Guided Neuronal Growth and Photothermal Stimulation

The exploration of neural circuitry is essential for understanding the computational mechanisms and physiology of the brain. Despite significant advances in materials and fabrication techniques, controlling neuronal connectivity and response in three dimensions continues to present a formidable challenge. Here, we present a method for engineering the growth of three-dimensional (3D) neural circuits with the capability for optical stimulation. We fabricated bioactive interfaces by melt electrospinning writing (MEW) of 3D printed polycaprolactone (PCL) scaffolds followed by coating with titanium carbide (Ti3C2Tx MXene). Beyond enhancing hydrophilicity, cell adhesion, and electrical conductivity, the Ti3C2Tx MXene coating enabled optocapacitance-based neuronal stimulation due to illumination-induced local temperature increases. This work presents a strategy for additive manufacturing of neural tissues with optical control for functional tissue engineering and neural circuit computation.

bioengineering↗

bioRxiv2023

Spatiotemporal dynamics of cytokines expression dictate fetal liver hematopoiesis.

During embryogenesis, yolk-sac and intra-embryonic-derived hematopoietic progenitors, comprising the precursors of adult hematopoietic stem cells, converge into the fetal liver. With a new staining strategy, we defined all non-hematopoietic components of the fetal liver and found that hepatoblasts are the major producers of hematopoietic growth factors. We identified mesothelial cells, a novel component of the stromal compartment, producing Kit ligand, a major hematopoietic cytokine. A high-definition imaging dataset analyzed using a deep-learning based pipeline allowed the unambiguous identification of hematopoietic and stromal populations, and enabled determining a neighboring network composition, at the single cell resolution. Throughout active hematopoiesis, progenitors preferentially associate with hepatoblasts, but not with stellate or endothelial cells. We found that, unlike yolk sac-derived progenitors, intra-embryonic progenitors respond to a chemokine gradient created by CXCL12-producing stellate cells. These results revealed that FL hematopoiesis is a spatiotemporal dynamic process, defined by an environment characterized by low cytokine concentrations.

developmental biology↗

bioRxiv2023

A kinome-wide synthetic lethal CRISPR/Cas9 screen reveals that mTOR inhibition prevents adaptive resistance to CDK4/CDK6 blockade in HNSCC

The comprehensive genomic analysis of the head and neck cancer (HNSCC) oncogenome revealed frequent loss of p16INK4A (CDKN2A) in most HPV negative HNSCC lesions, often concomitant with amplification of the cyclin D1 (CCND1) gene locus. However, cyclin-dependent kinase 4 and 6 (CDK4/6) inhibitors as single agents have shown modest effect in the clinic, even when combined with cetuximab. The aberrant activation of PI3K/mTOR pathway is highly prevalent in HNSCC, and recent clinical trials targeting mTOR showed promising results in terms of objective responses and progression free survival. However, the clinical efficacy of mTOR inhibitors (mTORi) for advanced HNSCC patients may be limited due to intrinsic or acquired resistance. By a kinome-wide CRISPR/Cas9 screen, we identified cell cycle inhibition as a synthetic lethal target for mTORi. Combination of mTORi and palbociclib, a CDK4/6 specific inhibitor, showed strong synergism in HNSCC-derived cells in vitro and in vivo. Remarkably, we found that adaptive increase in cyclin E1 (CCNE1) expression upon palbociclib treatment underlies the rapid acquired resistance to this CDK4/6 inhibitor in HNSCC. Mechanistically, mTORi inhibits the formation of eIF4G-CCNE1 mRNA complexes, with the consequent reduction in mRNA translation and CCNE1 protein expression. Our findings suggest that concomitant mTOR blockade reverts the adaptive resistance to palbociclib, thereby providing a novel multimodal therapeutic option for HNSCC patients by co-targeting mTOR and CDK4/6. Our findings may have broad implications to halt the emergence of palbociclib resistance.

cancer biology↗

bioRxiv2023

DePARylation is critical for S phase progression and cell survival

Poly(ADP-ribose)ylation or PARylation by PAR polymerase 1 (PARP1) and dePARylation by poly(ADP-ribose) glycohydrolase (PARG) are equally important for the dynamic regulation of DNA damage response. PARG, the most active dePARylation enzyme, is recruited to sites of DNA damage via pADPr-dependent and PCNA-dependent mechanisms. Targeting dePARylation is considered an alternative strategy to overcome PARP inhibitor resistance. However, precisely how dePARylation functions in normal unperturbed cells remains elusive. To address this challenge, we conducted multiple CRISPR screens and revealed that dePARylation of S phase pADPr by PARG is essential for cell viability. Loss of dePARylation activity initially induced S phase-specific pADPr signaling, which resulted from unligated Okazaki fragments and eventually led to uncontrolled pADPr accumulation and PARP1/2-dependent cytotoxicity. Moreover, we demonstrated that proteins involved in Okazaki fragment ligation and/or base excision repair regulate pADPr signaling and cell death induced by PARG inhibition. In addition, we determined that PARG expression is critical for cellular sensitivity to PARG inhibition. Additionally, we revealed that PARG is essential for cell survival by suppressing pADPr. Collectively, our data not only identify an essential role for PARG in normal proliferating cells but also provide a potential biomarker for the further development of PARG inhibitors in cancer therapy.

cancer biology↗

bioRxiv2023

Identification of five characteristic ferroptosis-related genes as novel biomarkers for ischemic stroke using bioinformatic and machine learning strategies

Ferroptosis is crucial in neuronal cell death, associated with various neurological disorders. However, the role of ferroptosis-related genes (FRGs) in ischaemic stroke (IS) has yet to be well elucidated. We downloaded IS-related gene information and FRGs from the Gene Expression Omnibus (GEO) and Ferritin databases (FerrDb). 22 IS-related DE-FRGs were obtained. Functional enrichment analysis showed that these genes involve multiple regulatory pathways related to IS pathogenesis, including redox, amino acid metabolism, and cell cycle. Subsequently, DUOX2, MDM2, EGFR, MAP3K14, and TRIM46 were identified as core marker genes among the 22 DE-FRGs by lasso and SVM-RFE algorithms. The construction of the nomogram using the five marker genes had excellent diagnostic value. In addition, CIBERSORT analysis showed that changes in the immune microenvironment of IS patients might be associated with TRIM46, MDM2, and DUOX2. In addition, a total of 66 drugs targeting two characteristic FRGs were obtained. The ceRNA networks revealed complex regulatory relationships based on characteristic FRGs. These findings provide new insights into the diagnosis and treatment of IS.

bioinformatics↗

bioRxiv2023

The canonical single-stranded DNA binding protein SSB is not an essential replication protein but an RNA chaperon in the hyperthermophilic archaeon Saccharolobus islandicus REY15A

Single-stranded DNA binding proteins (SSBs) have been regarded as indispensable factors in all three domains of life since they play vital roles in DNA replication. Herein, we report that genes coding for the canonical SSB (SisSSB) and the non-canonical SSB (SisDBP) in the hyperthermophilic archaeon Saccharolobus islandicus REY15A can both be deleted. The growth is not affected, and the cell cycle progression and genome stability of the deletion strains is not impaired, suggesting that SisSSB and SisDBP are not essential for cell viability. Interestingly, at a lower temperature (55{degrees}C), the protein level of SisSSB increases [~]1.8 fold in the wild type and the growth of {Delta}Sisssb and {Delta}Sisssb{Delta}Sisdbp is retarded. SisSSB exhibits melting activity on dsRNA and DNA/RNA hybrid in vitro and unwinding RNA hairpin in Escherichia coli. Furthermore, the core SisSSB domain is able to complement the absence of the cold shock proteins CspABGE in E. coli, suggesting that SisSSB functions as RNA chaperon. We show that a two-fold overexpression of SisSSB is beneficial to the cell growth at lower temperature, but it has detrimental effect on the cell growth and cell cycle progression at normal growth temperature, which differs from bacterial Csp proteins. Importantly, these in vitro and in vivo activities are conserved in SSB subtype SSB-1 in Crenarchaeota species that lack bacterial Csp homologs. Overall, we have clarified the function of the archaeal canonical SSB which does not function as a DNA processing factor, but plays a role in processes requiring dsRNA or DNA/RNA hybrid unwinding.

microbiology↗

bioRxiv2023

Manipulation of Bacterial ROS Production Leads to Self-escalating DNA Damage and Resistance-resistant Lethality for Intracellular Mycobacteria

The high prevalence of drug resistance in mycobacteria calls for antimicrobial mechanisms that suppresses the development of resistance. As a structurally conserved multi-site bio-macromolecule, DNA is presumed to be an ideal candidate for such resistance-resistant drug target. However, survey of marketed and investigational DNA interactors indicates that they are not immune to resistance development. Here, we report our strategy to achieve real resistance-resistant DNA targeting by incurring "catastrophic" DNA damage with an organoruthenium-natural product hybrid. The dual-mode DNA damage, in the form of strong tri-valent binding and concomitant oxidative modification, is achieved by manipulating of bacterias native endogenous ROS production mechanism upon lethal stress (such as DNA binding). Such self-escalating DNA damage, together with precise targeting of intracellular bacteria via vacuole fusion, thus endows the hybrids resistance-resistant lethality against mycobacteria and in vivo efficacy in animal models.

microbiology↗