Biology subjects

Chen, S.

Publications and source records attributed to Chen, S..

At least 811 records · Page 45Linked to original sources

bioRxiv2020

White matter brain aging In Relationship to Schizophrenia and Its Cognitive Deficit

We hypothesized that cerebral white matter deficits in schizophrenia (SZ) are driven in part by accelerated white matter aging and are associated with cognitive deficits. We used machine learning model to predict individual age from diffusion tensor imaging features and calculated the delta age ({Delta}age) as the difference between predicted and chronological age. Through this approach, we translated multivariate white matter imaging features into an age-scaled metric and used it to test the temporal trends of accelerated aging-related white matter deficit in SZ and its association with the cognition. Followed feature selection, a machine learning model was trained with fractional anisotropy values in 34 of 43 tracts on a training set consisted of 107 healthy controls (HC). The brain age of 166 SZs and 107 HCs in the testing set were calculated using this model. Then, we examined the SZ-HC group effect on {Delta}age and whether this effect was moderated by chronological age using the regression spline model. The results showed that {Delta}age was significantly elevated in the age >30 group in patients (p < 0.001) but not in age [<=] 30 group (p = 0.364). {Delta}age in patients was significantly and negatively associated with both working memory ({beta} = -0.176, p = 0.007) and processing speed ({beta} = -0.519, p = 0.035) while adjusting sex and chronological age. Overall, these findings indicate that the {Delta}age is elevated in SZs and become significantly from middle life stage; the increase of {Delta}age in SZs is associated with the decline neurocognitive performance.

neuroscience↗

bioRxiv2020

Pseudomonas aeruginosa secreted protein PA3611 promotes bronchial epithelial cells epithelial-mesenchymal transition through TGF-β1 inducing p38/miRNA/NF-κB pathway

Pseudomonas aeruginosa (PA) is one of the important pathogens, which has been proven to colonize and cause infection in the respiratory tract of patients with structural lung diseases, and further lead to bronchial fibrosis. Epithelial-Mesenchymal Transition (EMT) of bronchial epithelial cells plays a vital role in the process of bronchial fibrosis. Up to the present, the research on bronchial epithelial cells EMT caused by secreted virulence factors of PA has not been reported. In our present study, we found that PA3611 protein stimulation induced the bronchial epithelial cells EMT with up-regulation of mesenchymal cell markers and down-regulation of epithelial cell markers. Meantime, TGF-{beta}1 secretion was markedly increased, I{kappa}B expression was significantly decreased, and NF-{kappa}B p65 subunit phosphorylation was markedly enhanced, in addition, the levels of miR-3065-3p and miR-6802-3p expression and p38 MAPK phosphorylation were obviously increased in bronchial epithelial cells after PA3611 stimulation, further research revealed that PA3611 promoted EMT occur through TGF-{beta}1 induced p38/miRNA/NF-{kappa}b pathway. The function of PA3611 was also verified in PA-infected rats and results showed that {Delta}PA3611 could reduce lung inflammation and EMT. Overall, our results revealed that PA3611 promotes EMT via simulating the production of TGF-{beta}1 induced p38/miRNA/NF-{kappa}B pathway-dependent manner, suggesting that PA3611 acts as a crucial virulence factor in bronchial epithelial cells EMT process and has potential use as a target for clinical treatment of bronchial EMT and fibrosis caused by chronic PA infection. Author summaryStructural lung disease can increase the chance of chronic infection, including infected by Pseudomonas aeruginosa, which can cause lung structure damages and affect lung functions in further, and forming a vicious circle of intertwining, ultimately, it leads to pulmonary fibrosis. EMT of bronchial epithelial cells plays a vital role in the process of bronchial fibrosis. However, the relationship and mechanism of PA infection leads to the destruction of lung structure and bronchial epithelial cells EMT are still not very clear. We found pseudomonas aeruginosa secreted protein PA3611 can stimulate bronchial epithelial cells EMT through up-regulation of mesenchymal cell markers -SMA and Vimentin expression and down-regulation of epithelial cell markers E-cadherin and Zonula Occludens-1. Meantime, TGF-{beta}1 secretion was markedly increased, I{kappa}B expression was significantly decreased, and NF-{kappa}B p65 subunit phosphorylation was markedly enhanced, in addition, the levels of miR-3065-3p and miR-6802-3p expression and p38 MAPK phosphorylation were obviously increased in bronchial epithelial cells after PA3611 stimulation, further studies suggested that PA3611 was shown to promote EMT occur through TGF-{beta}1 induced p38/miRNA/NF-Kb pathway. Our results revealed that PA3611 promotes EMT via simulating the production of TGF-{beta}1 induced p38/miRNA/NF-{kappa}B pathway-dependent manner, suggesting that PA3611 acts as a crucial virulence factor in bronchial epithelial cells EMT process and as a potential target for the treatment of chronic structural lung diseases.

microbiology↗

bioRxiv2020

Extracting Brain Disease-Related Connectome Subgraphs by Adaptive Dense Subgraph Discovery

Group-level brain connectome analysis has attracted increasing interest in neuropsychiatric research with the goal of identifying connectomic subnetworks (subgraphs) that are systematically associated with brain disorders. However, extracting disease-related subnetworks from the whole brain connectome has been challenging, because no prior knowledge is available regarding the sizes and locations of the subnetworks. In addition, neuroimaging data is often mixed with substantial noise that can further obscure informative subnetwork detection. We propose a likelihood-based adaptive dense subgraph discovery (ADSD) model to extract disease-related subgraphs from the group-level whole brain connectome data. Our method is robust to both false positive and false negative errors of edge-wise inference and thus can lead to a more accurate discovery of latent disease-related connectomic subnetworks. We develop computationally efficient algorithms to implement the novel ADSD objective function and derive theoretical results to guarantee the convergence properties. We apply the proposed approach to a brain fMRI study for schizophrenia research and identify well-organized and biologically meaningful subnetworks that exhibit schizophrenia-related salience network centered connectivity abnormality. Analysis of synthetic data also demonstrates the superior performance of the ADSD method for latent subnetwork detection in comparison with existing methods in various settings.

neuroscience↗

bioRxiv2020

Bayes Estimate of Primary Threshold in Cluster-wise fMRI Inferences

Cluster-wise statistical inference is the most widely used technique for functional magnetic resonance imaging (fMRI) data analyses. Cluster-wise statistical inference consists of two steps: i) primary thresholding that excludes less significant voxels by a pre-specified cut-off (e.g., p < 0.001); and ii) cluster-wise thresholding that controls the family-wise error rate (FWER) caused by clusters consisting of false positive suprathreshold voxels. It has been well known that the selection of the primary threshold is critical because it determines both statistical power and false discovery rate. However, in most existing statistical packages, the primary threshold is selected based on prior knowledge (e.g., p < 0.001) without taking into account the information in the data. In this manuscript, we propose a data-driven approach to objectively select the optimal primary threshold based on an empirical Bayes framework. We evaluate the proposed model using extensive simulation studies and an fMRI data example. The results show that our method can effectively increase statistical power while effectively controlling the false discovery rate.

neuroscience↗

bioRxiv2020

Extreme suction attachment performance from specialised insects living in mountain streams (Diptera: Blephariceridae)

Suction is widely used by animals for strong controllable underwater adhesion but is less well understood than adhesion of terrestrial climbing animals. Here we investigate the attachment of an aquatic insect larva (Blephariceridae), which clings to rocks in torrential streams using the only known muscle-actuated suction organs in insects. We measured their attachment forces on well-defined rough substrates and found their adhesion was much less reduced by micro-roughness than terrestrial climbing insects. In vivo visualisation of the suction organs in contact with microstructured substrates revealed that they can mould around large asperities to form a seal. Moreover, we showed that spine-like microtrichia on the organ are stiff cuticular structures that only make tip contact on smooth and microstructured substrates. Our results highlight the performance and versatility of blepharicerid suction organs and introduce a new study system to explore biological suction.

ecology↗

bioRxiv2020

Transferrin receptor (Tfr1) ablation in satellite cells impacts skeletal muscle regeneration through the activation of ferroptosis

Satellite cells (SCs) are critical to the postnatal development and skeletal muscle regeneration. Inactivation of SCs is linked with the skeletal muscle loss. Leveraging on the RNAseq screening, transferrin receptor (Tfr1) is identified to be associated with muscle/SC ageing and the declined regeneration potential. Muscle-specific deletion of Tfr1 results in the growth retardation, metabolic disorder and lethality, shedding light on the importance of Tfr1 in skeletal muscle physiology. Here, our investigation reported that conditional SC-ablation of Tfr1 leads to the SCs inactivation and skeletal muscle regeneration defects, followed by the labile iron accumulation, de novo lipogenesis via fibroadipogenic progenitors (FAPs) and Gpx4/Nrf2-mediated ROS-scavenger defects. These abnormal phenomena, such as Hmox1-mediated myoglobin degradation, Tfr1-Slc39a14 functional switch and the activation of unsaturated fatty acid biosynthesis pathway are orchestrated with the occurrence of ferroptosis in skeletal muscle. Ferroptosis may further prevent SC proliferation and skeletal muscle regeneration. Ferrostatin-1, a ferroptosis inhibitor could not rescue Tfr1-ablation induced ferroptosis. However, intramuscular administration of lentivirus expressing Tfr1 could partially reduce labile iron accumulation, decrease de novo lipogenesis and promote skeletal muscle regeneration. Most importantly, Tfr1/Slc39a14 functional switch, labile iron accumulation and fatty acid biosynthesis are recapitulated in aged skeletal muscle of rodents, indicating that ferroptosis occurs in the skeletal muscles of aged rodents. The present study also bridges the gap between pathogenesis of iron and functional defects in the skeletal muscle, providing mechanistic information to develop anti-aging strategies. One Sentence SummaryConditional ablation of Tfr1 in satellite cells (SCs) results in the SC inactivation, skeletal muscle regeneration defects, labile iron accumulation, and unsaturated fatty acid biosynthesis, leading to the activation of ferroptosis, which is recapitulated in skeletal muscles of aged rodents to be a new cell death form identified in skeletal muscle and sheds light on the development of novel anti-ageing strategies.

cell biology↗

bioRxiv2020

Transcriptome and interactome analyses identify the TP53 interacting gene RCCD1 as a candidate susceptibility gene at the 15p26.1 breast and ovarian cancer risk locus

Common genetic variation in a region on chromosome 15q26 confers susceptibility to breast and ovarian cancer. The P53 interacting gene RCCD1 in this region is a candidate susceptibility gene for both cancers. In this study, a colocalization analysis of breast and ovarian cancer case-control genetic association studies in over 145,000 and 146,000 controls fine mapped the shared association in this region to 17 pleiotropic credible causal risk variants (Pbreast < 1.16 x 10-14 and P ovary < 7.50 x 10-7). These variants were strongly associated with the expression of RCCD1 in normal breast and ovarian tissues. Circular chromosome conformation capture (4C) analysis of RCCD1 in breast and ovarian cancer cells identified similar patterns of cis-interaction and significant binding site enrichment for the BRCA2 interacting gene EMSY (Padjusted = 9.24 x 10-6). The 4C analysis pinpointed a single 2kB RCCD1 cis-interaction that contained two of the 17 shared risk variants. RCCD1 trans-interacting regions mapped to previously identified genome wide significant (P < 5 x 10-8) breast cancer risk loci (1p34.2 and 3p14.1) and to the pleiotropic breast-ovarian cancer risk locus at chromosome 9q34.2. Stable overexpression of RCCD1 in breast and ovarian cancer precursor cells identified 13 and 11 differentially expressed genes (DEGs) respectively associated with breast and ovarian cancer risk at genome-wide significance (PMAGMA < 2.6 x 10-6 after Bonferroni correction). Eighty-two DEGs shared between breast and ovarian cancer were strongly enriched in TP53 (P = 9.9 x 10-4), Hippo (P = 2.51 x 10-3) and TNF signaling (P = 4.7 x 10-3) pathways.

genetics↗

bioRxiv2020

Regulation of cGAS activity through RNA-mediated phase separation

Cyclic GMP-AMP synthase (cGAS) is a double-stranded DNA (dsDNA) sensor that functions in the innate immune system. Upon binding dsDNA in the cytoplasm, cGAS and dsDNA form phase-separated aggregates in which cGAS catalyzes synthesis of 23-cyclic GMP-AMP that subsequently triggers a STING-dependent, type I IFN response. Here, we showed that cytoplasmic RNAs, especially tRNAs, regulate cGAS activity. We discovered that RNAs did not activate cGAS but rather promoted phase separation in vitro. In cells, cGAS colocalized with RNAs and formed phase-separated granules even in the absence of cytoplasmic dsDNA. An Opti-prep gradient analysis of cell lysates showed that the endogenous cGAS was associated with cytoplasmic RNAs in an aggregative form. Further in vitro assays showed that RNAs compete for binding of cGAS with dsDNA and inhibit cGAS activity when the dsDNA concentration is high and promote the formation of phase separations and enhance cGAS activity when the dsDNA concentration is low. Thus, cytoplasmic RNAs regulate cGAS activity by interfering with formation of cGAS-containing aggregates.

biochemistry↗

bioRxiv2020

COPB2 haploinsufficiency causes a coatopathy with osteoporosis and developmental delay

Coatomer complexes function in the sorting and trafficking of proteins between subcellular organelles. Pathogenic variants in coatomer subunits or associated factors have been reported in multi-systemic disorders, i.e., coatopathies, that can affect the skeletal and central nervous systems. We have identified loss-of-function variants in COPB2, a component of the coatomer complex I (COPI), in individuals presenting with osteoporosis, fractures and developmental delay of variable severity. Because the role of COPB2 in bone has not been characterized, we studied the effect of COPB2 deficiency on skeletal development in mice and zebrafish. Copb2+/- mice showed low bone mass and decreased bone strength. In zebrafish, larvae carrying a copb2 heterozygous frameshift variant showed delayed mineralization. copb2-null embryos showed endoplasmic reticulum (ER) and Golgi disorganization, and embryonic lethality. COPB2 siRNA-treated fibroblasts showed delayed collagen trafficking with retention of type I collagen in the ER and Golgi, and altered distribution of Golgi markers. Our data suggest that COPB2 haploinsufficiency leads to disruption of intracellular collagen trafficking and osteoporosis, which may improve with ascorbic acid supplementation. This work highlights the role of COPI complex as a critical regulator of bone mass and identifies a new form of coatopathy due to COPB2 deficiency.

genetics↗

bioRxiv2020

A bacterial artificial chromosome (BAC)-vectored noninfectious replicon of SARS-CoV-2

Vaccines and antiviral agents are in urgent need to stop the COVID-19 pandemic. To facilitate antiviral screening against SARS-CoV-2 without requirement for high biosafety level facility, we developed a bacterial artificial chromosome (BAC)-vectored replicon of SARS-CoV-2, nCoV-SH01 strain, in which secreted Gaussia luciferase (sGluc) was encoded in viral subgenomic mRNA as a reporter gene. The replicon was devoid of structural genes spike (S), membrane (M), and envelope (E). Upon transfection, the replicon RNA replicated in various cell lines, and was sensitive to interferon alpha (IFN-), remdesivir, but was resistant to hepatitis C virus inhibitors daclatasvir and sofosbuvir. Replication of the replicon was also sensitive overexpression of zinc-finger antiviral protein (ZAP). We also constructed a four-plasmid in-vitro ligation system that is compatible with the BAC system, which makes it easy to introduce desired mutations into the assembly plasmids for in-vitro ligation. This replicon system would be helpful for performing antiviral screening and dissecting virus-host interactions.

microbiology↗

bioRxiv2020

A COVID-19 antibody curbs SARS-CoV-2 nucleocapsid protein-induced complement hyper-activation

Although human antibodies elicited by severe acute respiratory distress syndrome coronavirus-2 (SARS-CoV-2) nucleocapsid (N) protein are profoundly boosted upon infection, little is known about the function of N-directed antibodies. Herein, we isolated and profiled a panel of 32 N protein-specific monoclonal antibodies (mAb) from a quick recovery coronavirus disease-19 (COVID-19) convalescent, who had dominant antibody responses to SARS-CoV-2 N protein rather than to Spike protein. The complex structure of N protein RNA binding domain with the highest binding affinity mAb nCoV396 reveals the epitopes and antigens allosteric changes. Functionally, a virus-free complement hyper-activation analysis demonstrates that nCoV396 specifically compromises N protein-induced complement hyper-activation, a risk factor for morbidity and mortality in COVID-19, thus paving the way for functional anti-N mAbs identification. One Sentence SummaryB cell profiling, structural determination, and protease activity assays identify a functional antibody to N protein.

molecular biology↗

bioRxiv2020

Genomic selection to optimize doubled haploid-based hybrid breeding in maize

Crop improvement, as a long-term endeavor, requires continuous innovations in technique from multiple perspectives. Doubled haploid (DH) technology for pure inbred production, which shaves years off of the conventional selfing approach, has been widely used for breeding. However, the final success rate of in vivo maternal DH production is determined by four factors: haploids induction, haploids identification, chromosome doubling, and successful selfing of the fertile haploid plants to produce DH seeds. Traits in each of these steps, if they can be accurately predicted using genomic selection methods, will help adjust the DH production protocol and simplify the logistics and save costs. Here, a hybrid population (N=158) was generated based on an incomplete half diallel design using 27 elite inbred lines. These hybrids were induced to create F1-derived haploid families. The hybrid materials, as well as the 27 inbreds, the inbred-derived haploids (N=200), and the F1-derived haploids (N=5,000) were planted in the field to collect four DH-production traits, three yield-related traits, and three developmental traits. Quantitative genetics analysis suggested that in both diploids and haploid families, most of the developmental traits showed high heritability, while the DH-production and developmental traits exhibited intermediate levels of heritability. By employing different genomic selection models, our results showed that the prediction accuracy ranged from 0.52 to 0.59 for the DH-production traits, 0.50 to 0.68 for the yield-related traits, and 0.44 to 0.87 for the developmental traits. Further analysis using index selection achieved the highest prediction accuracy when considering both DH production efficiency and the agronomic trait performance. Furthermore, the long-term responses through simulation confirmed that index selection would increase the genetic gain for targeted agronomic traits while maintaining the DH production efficiency. Therefore, our study provides an optimization strategy to integrate GS technology for DH-based hybrid breeding.

genetics↗

bioRxiv2020

Glypican4 mediates Wnt transport between germ layers via signaling filopodia

Glypicans influence signaling pathways by regulating morphogen trafficking and reception. However, the underlying mechanisms in vertebrates are poorly understood. In zebrafish, Glypican 4 (Gpc4) is required for convergence and extension (C&E) of both the mesoderm and endoderm. Here we show that transgenic expression of GFP-Gpc4 in the endoderm of gpc4 mutants rescues C&E defects in all germ layers. The rescue of mesoderm was likely mediated by Wnt5b and Wnt11f2, and depended on signaling filopodia rather than on cleavage of the Gpc4 GPI anchor. Gpc4 bound Wnt5b and regulated formation of the filopodia that transport Wnt5b to neighboring cells. Blocking signaling filopodia that extend from endodermal cells suppressed this rescue. Thus, endodermal signaling filopodia that expressed GFP-Gpc4 transported Wnt5b, and likely Wnt11f2, to other germ layers, rescuing the C&E defects caused by a gpc4 deficiency. Our study reveals a new mechanism that could explain in vivo morphogen distribution involving Gpc4.

developmental biology↗

bioRxiv2020

Antibody Upstream Sequences Diversity and Its Biological Implications Revealed by Repertoire Sequencing

The sequence upstream of antibody variable region (Antibody Upstream Sequence, or AUS) consists of 5 untranslated region (5 UTR) and two leader regions, L-PART1 and L-PART2. The sequence variations in AUS affect the efficiency of PCR amplification, mRNA translation, and subsequent PCR-based antibody quantification as well as antibody engineering. Despite their importance, the diversity of AUSs has long been neglected. Utilizing the rapid amplification of cDNA ends (5RACE) and high-throughput antibody repertoire sequencing (Rep-Seq) technique, we acquired full-length AUSs for human, rhesus macaque (RM), cynomolgus macaque (CM), mouse, and rat. We designed a bioinformatics pipeline and discovered 2,957 unique AUSs, corresponding to 2,786 and 1,159 unique sequences for 5 UTR and leader, respectively. Comparing with the leader records in the international ImMunoGeneTics (IMGT), while 529 were identical, 313 were with single nucleotide polymorphisms (SNPs), 280 were totally new, and 37 updated the incomplete records. The diversity of AUSs impact on related antibody biology was also probed. Taken together, our findings would facilitate Rep-Seq primer design for capturing antibodies comprehensively and efficiently as well as provide a valuable resource for antibody engineering and the studies of antibody at the molecular level.

bioinformatics↗

bioRxiv2020

A Single Dose of Self-Transcribing and Replicating RNA Based SARS-CoV-2 Vaccine Produces Protective Adaptive Immunity In Mice

A self-transcribing and replicating RNA (STARR) based vaccine (LUNAR(R)-COV19) has been developed to prevent SARS-CoV-2 infection. The vaccine encodes an alphavirus-based replicon and the SARS-CoV-2 full length spike glycoprotein. Translation of the replicon produces a replicase complex that amplifies and prolong SARS-CoV-2 spike glycoprotein expression. A single prime vaccination in mice led to robust antibody responses, with neutralizing antibody titers increasing up to day 60. Activation of cell mediated immunity produced a strong viral antigen specific CD8+ T lymphocyte response. Assaying for intracellular cytokine staining for IFN-{gamma} and IL-4 positive CD4+ T helper lymphocytes as well as anti-spike glycoprotein IgG2a/IgG1 ratios supported a strong Th1 dominant immune response. Finally, single LUNAR-COV19 vaccination at both 2 g and 10 g doses completely protected human ACE2 transgenic mice from both mortality and even measurable infection following wild-type SARS-CoV-2 challenge. Our findings collectively suggest the potential of Lunar-COV19 as a single dose vaccine.

immunology↗

bioRxiv2020

Drug repurposing screen identifies masitinib as a 3CLpro inhibitor that blocks replication of SARS-CoV-2 in vitro

There is an urgent need for anti-viral agents that treat SARS-CoV-2 infection. The shortest path to clinical use is repurposing of drugs that have an established safety profile in humans. Here, we first screened a library of 1,900 clinically safe drugs for inhibiting replication of OC43, a human beta-coronavirus that causes the common-cold and is a relative of SARS-CoV-2, and identified 108 effective drugs. We further evaluated the top 26 hits and determined their ability to inhibit SARS-CoV-2, as well as other pathogenic RNA viruses. 20 of the 26 drugs significantly inhibited SARS-CoV-2 replication in human lung cells (A549 epithelial cell line), with EC50 values ranging from 0.1 to 8 micromolar. We investigated the mechanism of action for these and found that masitinib, a drug originally developed as a tyrosine-kinase inhibitor for cancer treatment, strongly inhibited the activity of the SARS-CoV-2 main protease 3CLpro. X-ray crystallography revealed that masitinib directly binds to the active site of 3CLpro, thereby blocking its enzymatic activity. Mastinib also inhibited the related viral protease of picornaviruses and blocked picornaviruses replication. Thus, our results show that masitinib has broad anti-viral activity against two distinct beta-coronaviruses and multiple picornaviruses that cause human disease and is a strong candidate for clinical trials to treat SARS-CoV-2 infection.

microbiology↗

bioRxiv2020

N-glucosyltransferase GbNGT1 from Ginkgo complement auxin metabolic pathway

As a group of the most important phytohormone, auxin homeostasis is regulated in a complex manner. Generally, auxin conjugations especially IAA glucosides are dominant on high auxin level conditions. Former terminal glucosylation researches mainly focus on O-position, while IAA-N-glucoside or IAA-Asp-N-glucoside has been neglected since their found in 2001. In our study, IAA-Asp-N-glucoside was firstly found specifically abundant (as high as 4.13 mg/g) in ginkgo seeds of 58 cultivars from Ginkgo Resource Nursery built in 1990. Furthermore, a novel N-glucosyltransferase GbNGT1, which could catalyze IAA-Asp and IAA to form their corresponding N-glucoside, was identified through differential transcriptome analysis and in vitro enzymatic test. The enzyme was demonstrated to possess specific catalyze capacity toward the N-position of IAA-amino acid or IAA among 52 substrates, and was typical of acid tolerance, metal ion independence and high temperature sensitivity. Docking and site-directed mutagenesis of this enzyme confirmed that E15G mutant could almost abolish enzyme catalytic activity towards IAA-Asp and IAA in vitro and in vivo. The IAA modification of GbNGT1 and GbGH3.5 was verified by transient expression assay in Nicotiana benthamiana. In conclusion, our results complement the terminal metabolic pathway of auxin, and the specific catalytic function of GbNGT1 towards IAA-amino acid provide a new way to biosynthesis indole-amide compounds. HighlightThe N-glucosylation of IAA or IAA-amino acids in auxin metabolism had been neglected over decades, our work for GbNGT1 redeems the missing chain of auxin metabolic pathway.

biochemistry↗

bioRxiv2020

DNA methylation landscapes of matched primary and recurrent high grade serous ovarian cancers are preserved throughout disease progression and chemoresistance.

Little is known about the role of global DNA methylation in recurrence and chemoresistance of high grade serous ovarian cancer (HGSOC). We performed whole genome bisulfite sequencing (WGBS) and whole transcriptome sequencing (RNA-seq) to establish methylation and gene expression signatures in 62 primary and recurrent tumors from 28 patients diagnosed with stage III/IV HGSOC. Eleven of these patients carried pathogenic germline BRCA1/BRCA2 mutations. Genome-wide methylation and transcriptomic features identified in primary tumors were largely preserved in matched recurrent tumors from the same patient (P-value = 7.16 x 10-7 and 1.41 x 10-3 in BRCA1/2 and non-BRCA1/2 cases respectively). Tumors from BRCA1/2 carriers displayed high levels of heterogeneity, with significantly more shared methylation changes identified between primary and recurrent tumors from non-BRCA1/2 patients, which may be related to the poorer survival we observe in HGSOCs from non-BRCA1/2 carriers (P-value = 0.0056). Partially methylated domains (PMDs) dominated the epigenetic variation across all tumors, and were more hypomethylated in BRCA1/2 than non-BRCA1/2 cases. Differential gene expression analysis identified upregulation of genes from immune pathways including antigen processing and presentation in tumors from BRCA1/2 carriers, implicating increased immune response in the improved survival observed in these patients. In summary, this study shows a previously unreported conservation of methylation and gene expression in recurrent HGSOCs. These data have implications for the possible effectiveness of epigenetic based therapies to treat both primary and recurrent ovarian cancers.

genomics↗