Biology subjects

Tang, M.

Publications and source records attributed to Tang, M..

13 recordsLinked to original sources

bioRxiv2026

A direct, MFRN-independent Fe(II) transfer pathway at mitochondria-lysosome contacts

Mitochondrial iron homeostasis is fundamental to respiration and redox balance, and its dysregulation is implicated in neurodegeneration, cardiomyopathy, and metabolic diseases. Although lysosomes harbor the major cellular iron reservoir, the prevailing model holds that mitochondria acquire Fe(II) directly from the cytosolic labile iron pool (LIP) via MFRN transporters. Here, we challenge the canonical view by identifying a direct, MFRN-independent Fe(II) transfer pathway at mitochondria-lysosome contacts (MLCs). This VPS39/TOMM22/SFXN1-coordinated pathway enables lysosome-to-mitochondria Fe(II) flux bypassing the cytosolic LIP. Using live-cell structured illumination microscopy (SIM), we visualize direct Fe(II) transfer specifically occurring at MLCs. Multiple lines of evidence confirm that VPS39 and TOMM22 stabilize MLCs, while SFXN1 serves as the core effector protein for this MLC-dependent Fe(II) transport. Notably, SFXN1 knockdown markedly reduces mitochondrial Fe(II) levels independent of its established serine transport function. This pathway reveals a major route for mitochondrial Fe(II) acquisition to support redox homeostasis.

cell biology↗

bioRxiv2018

The Landscape of Parkin Variants Reveals Pathogenic Mechanisms and Therapeutic Targets in PD

Mutations in Parkin (PARK2) are the most common genetic cause of early-onset Parkinsons disease (PD). Parkin encodes an E3 ubiquitin ligase implicated in the turnover of damaged mitochondria. Hundreds of Parkin missense variants have been reported in public databases, yet the role of most of them in PD remains unclear. We analyzed Parkin variants using clinical, experimental, and structural modeling approaches. For most variants, clinical evidence alone was insufficient to determine pathogenicity. Utilizing a cell model that allows measurement of Parkin-mediated mitophagy and Parkin stability, 51 variants were classified into five groups based on their effect on Parkin function. Most variants were like wildtype but, unexpectedly, several enhanced mitophagy. A minority destabilized Parkin or severely disrupted Parkin-mediated mitophagy, most of which were also determined as pathogenic based on clinical evidence alone. Structural simulation predicted discrete mechanisms explaining both increases and decreases in Parkin function. Interestingly, impaired mitophagy in several of the most common pathogenic Parkin variants could be rescued both by naturally-occurring (p.V224A) and structure-guided designer (p.W403A; p.F146A) hyperactive Parkin variants. These findings provide a coherent framework to classify Parkin variants based on pathogenicity and suggest that several pathogenic Parkin variants represent promising targets for genotype-specific drug design.

neuroscience↗

bioRxiv2018

Genome-skimming provides accurate quantification for pollen mixtures

In the face of global pollinator declines, plant-pollinator interaction networks have been studied to guide ecological conservation and restoration. In order to obtain more comprehensive and unbiased knowledge of these networks, perspectives of both plants and pollinators need to be considered integratively. Metabarcoding has seen increasing applications in characterizing pollen transported by pollinators. However, amplification bias across taxa could lead to unpredictable artefacts in pollen compositions. We examined the efficacy of a PCR-free genome-skimming method in quantifying mixed pollen, using mock samples constructed with known pollen species (5 mocks of flower pollen and 14 mocks of bee pollen). The results demonstrated a high level of repeatability and accuracy in identifying pollen from mixtures of varied species ratios. All pollen species were detected in all mock samples, and pollen frequencies estimated from the number of sequence reads of each species were significantly correlated with pollen count proportions (linear model, R2 =86.7%, P = 2.2e- 16). For >97% of the mixed taxa, pollen proportion could be quantified by sequencing to the correct order of magnitude, even for species which constituted only 0.2% of the total pollen. We also showed that DNA extracted from pollen grains equivalent to those collected from a single honeybee corbicula was sufficient for the genome-skimming pipeline. We conclude that genome-skimming is a feasible approach to identifying and quantifying pollen compositions for mixed pollen samples. By providing reliable and sensitive taxon identification and relative abundance, this method is expected to improve the understanding of pollen diversity transported by pollinators and their ecological roles in the plant-pollinator networks.

ecology↗

bioRxiv2018

Inferring the molecular mechanisms of noncoding Alzheimer’s disease-associated genetic variants

Structured AbstractO_ST_ABSINTRODUCTIONC_ST_ABSWe set out to characterize the causal variants, regulatory mechanisms, tissue contexts, and target genes underlying noncoding late-onset Alzheimers Disease (LOAD)-associated genetic signals.\n\nMETHODSWe applied our INFERNO method to the IGAP genome-wide association study (GWAS) data, annotating all potentially causal variants with tissue-specific regulatory activity. Bayesian co-localization analysis of GWAS summary statistics and eQTL data was performed to identify tissue-specific target genes.\n\nRESULTSINFERNO identified enhancer dysregulation in all 19 tag regions analyzed, significant enrichments of enhancer overlaps in the immune-related blood category, and co-localized eQTL signals overlapping enhancers from the matching tissue class in ten regions (ABCA7, BIN1, CASS4, CD2AP, CD33, CELF1, CLU, EPHA1, FERMT2, ZCWPW1). We validated the allele-specific effects of several variants on enhancer function using luciferase expression assays.\n\nDISCUSSIONIntegrating functional genomics with GWAS signals yielded insights into the regulatory mechanisms, tissue contexts, and genes affected by noncoding genetic variation associated with LOAD risk.

bioinformatics↗

bioRxiv2018

(-)-Epigallocatechin-3-gallate inhibition of Epstein-Barr virus lytic replication involves latent membrane protein 1-mediated MAPK signaling pathways

AbstractEBV lytic replication has been shown to be important for carcinogenesis. Latent membrane protein 1 (LMP1) plays an important role in the viral latent infection and is abundantly expressed after EBV entry into the lytic cycle. However, the biological significance of LMP1 continuous expression in EBV lytic cycle is still not completely understood. We found that LMP1 promotes EBV reactivation by activating the downstream MAPK signaling in both AGS-EBV and B95.8 cells. In AGS-EBV cells, LMP1 induces EBV the initiation of the EBV lytic cycle in a p53 dependent manner. Activation of c-Jun by LMP1 through JNKs appears to be involved in EBV reactivation in p53 mutant B95.8 cells. We also demonstrated that EGCG, an anti-EBV agent, inhibits LMP1 expression and the activation of the downstream MAPK signaling pathways, followed by downregulation of EBV lytic protein expression level. Together, this study provides the first evidence that LMP1 promotes EBV reactivation via activation of the MAPK signaling pathways. Our findings further demonstrate that the mechanisms underlying EGCG inhibition of the EBV lytic replication involve the suppression of LMP1-mediated MAPK signaling pathways.\n\nSummary statementThis study definitely confirms the role of LMP1 in EBV reactivation and further explores the mechanism by which EGCG inhibits EBV lytic replication.

molecular biology↗

bioRxiv2018

Coincident binding of synthetic and natural ligands to the nuclear receptor PPARγ

Crystal structures of peroxisome proliferator-activated receptor gamma (PPAR{gamma}) have revealed overlapping binding modes for synthetic and natural/endogenous ligands, indicating competition for the orthosteric pocket. Here we show that cobinding of a synthetic ligand to the orthosteric pocket can push natural and endogenous PPAR{gamma} ligands (fatty acids) out of the orthosteric pocket towards an alternate ligand-binding site near the functionally important omega ({Omega}) loop. X-ray crystallography, NMR spectroscopy, all-atom molecular dynamics simulations, and mutagenesis coupled to quantitative functional assays reveal that synthetic ligand and fatty acid cobinding can form a \"ligand link\" to the {Omega} loop and synergistically affect the structure and function of PPAR{gamma}. These findings contribute to a growing body of evidence indicating ligand binding to nuclear receptors can be more complex than the classical one-for-one orthosteric exchange of a natural or endogenous ligand with a synthetic ligand.

biochemistry↗

bioRxiv2018

Parallels between experimental and natural evolution of legume symbionts

The emergence of symbiotic interactions has been studied using population genomics in nature and experimental evolution in the laboratory, but the parallels between these processes remain unknown. We compared the emergence of rhizobia after the horizontal transfer of a symbiotic plasmid in natural populations of Cupriavidus taiwanensis, over 10 MY ago, with the experimental evolution of symbiotic Ralstonia solanacearum for a few hundred generations. In spite of major differences in terms of time-span, environment, genetic background and phenotypic achievement, both processes resulted in rapid diversification dominated by purifying selection concomitant with acquisition of positively selected mutations. The latter were lacking in the plasmid carrying the genes responsible for the ecological transition. Instead, adaptation targeted the same set of genes leading to the cooption of the same quorum-sensing system. Our results provide evidence for similarities in experimental and natural evolutionary transitions and highlight the potential of comparisons between both processes to understand symbiogenesis.

evolutionary biology↗

bioRxiv2018

HEx: a heterologous expression platform for the discovery of fungal natural products

For decades, fungi have been a source of FDA-approved natural products such as penicillin, cyclosporine, and the statins. Recent breakthroughs in DNA sequencing suggest that millions of fungal species exist on Earth with each genome encoding pathways capable of generating as many as dozens of natural products. However, the majority of encoded molecules are difficult or impossible to access because the organisms are uncultivable or the genes are transcriptionally silent. To overcome this bottleneck in natural product discovery, we developed the HEx (Heterologous EXpression) synthetic biology platform for rapid, scalable expression of fungal biosynthetic genes and their encoded metabolites in Saccharomyces cerevisiae. We applied this platform to 41 fungal biosynthetic gene clusters from diverse fungal species from around the world, 22 of which produced detectable compounds. These included novel compounds with unexpected biosynthetic origins, particularly from poorly studied species. This result establishes the HEx platform for rapid discovery of natural products from any fungal species, even those that are uncultivable, and opens the door to discovery of the next generation of natural products.\n\nSummaryHere we present the largest scale effort reported to date toward the complete refactoring and heterologous expression of fungal biosynthetic gene clusters utilizing HEx, a novel synthetic biology platform.

synthetic biology↗

bioRxiv2017

The Tandem Duplicator Phenotype is a prevalent genome-wide cancer configuration driven by distinct gene mutations

The tandem duplicator phenotype (TDP) is a genome-wide instability configuration primarily observed in breast, ovarian and endometrial carcinomas. Here, we stratify TDP tumors by classifying their tandem duplications (TDs) into three span intervals, with modal values of 11 Kb, 231 Kb, and 1.7 Mb. TDPs with prominent ~11 Kb TDs feature the conjoint loss of TP53 and BRCA1. TDPs with ~231 Kb and ~1.7 Mb TDs associate with CCNE1 pathway activation or CDK12 disruptions, in conjunction with TP53 mutations. We prove the driver role of TP53 and BRCA1 abrogation for TDP induction by generating short-span TDP mammary tumors in genetically modified mouse models harboring deleterious mutations in only these two genes. Lastly, heterogeneous combinations of mutations mediated by TDs are selected for and contribute to the oncogenic burden of TDP tumors.

genomics↗

bioRxiv2017

INFERNO - INFERring the molecular mechanisms of NOncoding genetic variants

The majority of variants identified by genome-wide association studies (GWAS) reside in the noncoding genome, where they affect regulatory elements including transcriptional enhancers. We propose INFERNO (INFERring the molecular mechanisms of NOncoding genetic variants), a novel method which integrates hundreds of diverse functional genomics data sources with GWAS summary statistics to identify putatively causal noncoding variants underlying association signals. INFERNO comprehensively infers the relevant tissue contexts, target genes, and downstream biological processes affected by causal variants. We apply INFERNO to schizophrenia GWAS data, recapitulating known schizophrenia-associated genes including CACNA1C and discovering novel signals related to transmembrane cellular processes.

bioinformatics↗

bioRxiv2017

Making up your mind: Enhanced perceptual decision-making induced by stochastic resonance during non-invasive brain stimulation

Perceptual decision-making relies on the gradual accumulation of noisy sensory evidence until a specified boundary is reached and an appropriate response is made. It might be assumed that adding noise to a stimulus, or to the neural systems involved in its processing, would interfere with the decision process. But it has been suggested that adding an optimal amount of noise can, under appropriate conditions, enhance the quality of subthreshold signals in nonlinear systems, a phenomenon known as stochastic-resonance. Here we asked whether perceptual decisions obey these stochastic resonance principles by adding noise directly to the visual cortex using transcranial-random-noise stimulation (tRNS) while participants judged the direction of motion in foveally presented random-dot motion arrays. Consistent with the stochastic resonance account, we found that adding tRNS bilaterally to visual cortex enhanced decision-making when stimuli were below, but not above, perceptual threshold. We modelled the data under a drift diffusion framework to isolate the specific components of the multi-stage decision process that were influenced by the addition of neural noise. This modelling showed that tRNS increased drift rate, which indexes the rate of evidence accumulation, but had no effect on bound separation or non-decision time. These results were specific to bilateral stimulation of visual cortex; control experiments involving unilateral stimulation of left and right visual areas showed no influence of random noise stimulation. Our study is the first to provide causal evidence that perceptual decision-making is susceptible to a stochastic resonance effect induced by tRNS, and that this effect arises from selective enhancement of the rate of evidence accumulation for sub-threshold sensory events.

neuroscience↗

bioRxiv2017

TumorFusions: an integrative resource for reporting cancer-associated transcript fusions in 33 tumor types

Fusion genes, particularly those involving kinases, have been demonstrated as drivers and are frequent therapeutic targets in cancer1. Here, we describe our results on detecting transcript fusions across 33 cancer types from The Cancer Genome Atlas (TCGA), totaling 9,966 cancer samples and 648 normal samples2. Preprocessing, including read alignment to both genome and transcriptome, and fusion detection were carried out using a uniform pipeline3. To validate the resultant fusions, we also called somatic structural variations for 561 cancers from whole genome sequencing data. A summary of the data used in this study is provided in Table S1. Our results can be accessed per our portal at http://www.tumorfusions.org.

cancer biology↗

bioRxiv2017

Interactions Between Molecular Chaperone P20 And Cyt2Ba7 Toxin In Bacillus thuringiensis

P20 or 20-kilodalton protein is a molecular chaperone protein in Bacillus thuringiensis (Bt) which can increase yields and facilitates crystal formation of various insecticidal crystal proteins (ICPs). In previous studies, a B. thuringiensis insecticidal protein gene, cyt2Ba7, was cloned, expressed but its expression level is very low in B. thuringiensis. In this study, various expression vectors were constructed by incorporating p20 in forward or reverse direction in the upstream of cyt2Ba7 and transformed into a B. thuringiensis acrystalliferous strain 4Q7. The result showed that in the presence of P20, the expression of Cyt2Ba7 was significantly increased. Especially when p20 gene was reversely inserted in the upstream of cyt2Ba7 gene, the expression of Cyt2Ba7 was increased [~]3.2 times meanwhile more and bigger crystals were observed under electron microscopy. By using purified Cyt2Ba7, P20 protein and P20-specific antiserum, immunoblotting and ligand blot analysis demonstrated a strong binding affinity between P20 and Cyt2Ba7. These results reveal that P20 can promote the crystal formation and enhance the expression of Cyt2Ba7 as a molecular chaperone, which can be a powerful tool to boost the ICPs production in B. thuringiensis and help develop more effective insect control strategies.

microbiology↗