Biology subjects

Zhu, J.

Publications and source records attributed to Zhu, J..

At least 523 records · Page 29Linked to original sources

bioRxiv2020

Population Pharmacokinetics of an Anti-PD-1 Antibody Camrelizumab in Patients with Multiple tumor types and model informed dosing strategy

Objective Camrelizumab, a programmed cell death 1 (PD-1) inhibitor, has been approved for the treatment of relapsed or refractory classical Hodgkin lymphoma. The aim of this study was to perform a population pharmacokinetics (PK) analysis of camrelizumab to quantify the impact of patient characteristics on PK and to investigate the appropriateness of flat dose in the dosing regimen.Methods A total of 3298 camrelizumab concentrations from 133 patients from four studies were analyzed using nonlinear mixed effects modeling. Covariate model building was conducted using stepwise forward addition and backward elimination. Monte Carlo simulation was conducted to compare exposures of 200 mg and 3 mg/kg every 2-week regimens.Results The PK of camrelizumab were adequately described by a two-compartment model with parallel linear and nonlinear clearances. Baseline albumin had significant effects on linear clearance, and weight had effects on inter-compartmental clearance. Moreover, 200 mg and 3 mg/kg regimens provide similar exposure distributions with no advantage to either dosing approach.Conclusion Population PK analysis provided an integrated evaluation of the impact of albumin and weight on the PK of camrelizumab. It also provided evidence that neither the flat-dose nor the weight-based dose regimen was advantageous over the other for most patients with tumors.Competing Interest StatementThis study was sponsored by Jiangsu Hengrui Medicine Co. Ltd. Guang-li Ma, Da Xu and Yu-ya Wang are employees of Jiangsu Hengrui Medicine Co. Ltd.AbbreviationsAICAkaike’s information criterion;AUCarea under the concentration-time curve;AUCsssteady-state area under the concentration-time curve;BSVBetween-subject variability;Ccamrelizumab concentration;C1concentration of central compartment;Caverage,sssteady-state average concentration;CLclearance;CLlinearclearance of linear elimination;Cmax,sssteady-state peak concentration;CLnonlinearclearance of nonlinear elimination;Cmin,sssteady-state trough concentration;CWRESconditional weighted residuals;DVobserved concentration;IPREDindividual predicted concentrations;k0infusion rate;k23elimination rate from central compartment to peripheral compartment;k32elimination rate from peripheral compartment to central compartment;klinearlinear elimination rate;knonlinearnonlinear elimination rate;KmMichaelis–Menten constant;mAbmonoclonal antibody;NONMEMnonlinear mixed effect modeling;PD-1programmed cell death 1 receptor;PKpharmacokinetics;PREDpopulation predicted concentration;Qinter-compartmental clearance;Q2Wevery 2 weeks;Vmmaximum elimination rate;VPCvisual predictive check;V1distribution volume of central compartment;V2distribution volume of peripheral compartment;WBCwhite blood cell.View Full Text

cancer biology↗

bioRxiv2020

Stage-specific muscle wasting mechanisms in a novel cancer cachexia mouse model for ovarian granulosa cell tumor

Cachexia is a progressive muscle wasting syndrome that increases mortality risk in cancer patients, while there are still no effective treatment due to the complexity of syndrome and the lack of preclinical models. We identified a transgenic mice model with ovarian granulosa cell tumors mimic the progression of cachexia seen in humans, including drastic weight loss, skeletal muscle wasting and increased serum cachexia biomarker activin A and GDF15. Hypercatabolism was detected in skeletal muscle, having upregulation of E3 ligases Atrogin-1 and Murf-1. Our cachexia model exhibited stage-specific muscle wasting mechanisms. At precachexia stage, elevation of activin A activates p38 MAPK. Inhibition of activin A with Follistatin reversed weight loss at precachexia stage. At cachexia stage, energy stress in skeletal muscle activates AMPK and leads to upregulation of FoxO3. Our results indicate this novel preclinical cancer cachexia model is exploitable for studying pathophysiological mechanisms and testing therapeutic agents of cachexia.

cancer biology↗

bioRxiv2020

Single-cell screening of SARS-CoV-2 target cells in pets, livestock, poultry and wildlife

A few animals have been suspected to be intermediate hosts of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, a large-scale single-cell screening of SARS-CoV-2 target cells on a wide variety of animals is missing. Here, we constructed the single-cell atlas for 11 representative species in pets, livestock, poultry, and wildlife. Notably, the proportion of SARS-CoV-2 target cells in cat was found considerably higher than other species we investigated and SARS-CoV-2 target cells were detected in multiple cell types of domestic pig, implying the necessity to carefully evaluate the risk of cats during the current COVID-19 pandemic and keep pigs under surveillance for the possibility of becoming intermediate hosts in future coronavirus outbreak. Furthermore, we screened the expression patterns of receptors for 144 viruses, resulting in a comprehensive atlas of virus target cells. Taken together, our work provides a novel and fundamental strategy to screen virus target cells and susceptible species, based on single-cell transcriptomes we generated for domesticated animals and wildlife, which could function as a valuable resource for controlling current pandemics and serve as an early warning system for coping with future infectious disease threats.

cell biology↗

bioRxiv2020

Mitophagy protects beta cells from inflammatory damage in diabetes

Inflammatory damage contributes to {beta}-cell failure in type 1 and 2 diabetes (T1D and T2D). Mitochondria are damaged by inflammatory signaling in {beta}-cells, resulting in impaired bioenergetics and initiation of pro-apoptotic machinery. Hence, the identification of protective responses to inflammation could lead to new therapeutic targets. Here we report that mitophagy serves as a protective response to inflammatory stress in both human and rodent {beta}-cells. Utilizing in vivo mitophagy reporters, we observed that diabetogenic pro-inflammatory cytokines induced mitophagy in response to nitrosative/oxidative mitochondrial damage. Mitophagy-deficient {beta}-cells were sensitized to inflammatory stress, leading to the accumulation of fragmented dysfunctional mitochondria, increased {beta}-cell death, and hyperglycemia. Overexpression of CLEC16A, a T1D gene and mitophagy regulator whose expression in islets is protective against T1D, ameliorated cytokine-induced human {beta}-cell apoptosis. Thus, mitophagy promotes {beta}-cell survival and prevents diabetes by countering inflammatory injury. Targeting this pathway has the potential to prevent {beta}-cell failure in diabetes and may be beneficial in other inflammatory conditions.

cell biology↗

bioRxiv2020

Extended Application of Genomic Selection to Screen Multi-Omics Data for Prognostic Signatures of Prostate Cancer

Prognostic tests using expression profiles of several dozen genes help provide treatment choices for prostate cancer (PCa). However, these tests require improvement to meet the clinical need for resolving overtreatment which continues to be a pervasive problem in PCa management. Genomic selection (GS) methodology, which utilizes whole-genome markers to predict agronomic traits, was adopted in this study for PCa prognosis. We leveraged The Cancer Genome Atlas (TCGA) database to evaluate the prediction performance of six GS methods and seven omics data combinations, which showed that the Best Linear Unbiased Prediction (BLUP) model outperformed the other methods regarding predictability and computational efficiency. Leveraging the BLUP-HAT method, an accelerated version of BLUP, we demonstrated that using expression data of a large number of disease-relevant genes and with an integration of other omics data (i.e., miRNAs) significantly increased outcome predictability when compared with panels consisting of small numbers of genes. Finally, we developed a novel stepwise forward selection BLUP-HAT method to facilitate searching multi-omics data for predictor variables with prognostic potential. The new method was applied to the TCGA data to derive mRNA and miRNA expression signatures for predicting relapse-free survival of PCa, which were validated in six independent cohorts. This is a transdisciplinary adoption of the highly efficient BLUP-HAT method and its derived algorithms to analyze multi-omics data for PCa prognosis. The results demonstrated the efficacy and robustness of the new methodology in developing prognostic models in PCa, suggesting a potential utility in managing other types of cancer.

bioinformatics↗

bioRxiv2020

The juvenile hormone receptor Methoprene-tolerant is involved in the sterilizing effect of pyriproxyfen on adult Aedes aegypti mosquitoes

Exposure of adult mosquitoes to pyriproxyfen (PPF), an analog of insect juvenile hormone (JH), has shown promise to effectively sterilize female mosquitoes. However, the underlying mechanisms of the PPF-induced decrease in mosquito fecundity are largely unknown. We performed a comprehensive study to dissect the mode of PPF action in Aedes aegypti mosquitoes. Exposure to PPF prompted the overgrowth of primary follicles in sugar-fed Ae. aegypti females but blocked the development of primary follicles at Christophers Stage III after blood feeding. Secondary follicles were precociously activated in PPF-treated mosquitoes. Moreover, PPF substantially altered the expression of many genes that are essential for mosquito physiology and oocyte development in the fat body and ovary. In particular, many metabolic genes were differentially expressed in response to PPF treatment, thereby affecting the mobilization and utilization of energy reserves. Furthermore, PPF treatment on the previtellogenic female adults considerably modified mosquito responses to JH and 20-hydroxyecdysone (20E), two major hormones that govern mosquito reproduction. Kruppel homolog 1, a JH-inducible transcriptional regulator, showed consistently elevated expression after PPF exposure. Conversely, PPF upregulated the expression of several key players of the 20E regulatory cascades, including HR3 and E75A, in the previtellogenic stage. After blood-feeding, the expression of these 20E response genes was significantly weaker in PPF-treated mosquitoes than the solvent-treated control groups. RNAi-mediated knockdown of the Methoprene-tolerant (Met) protein, the JH receptor, partially rescued the impaired follicular development after PPF exposure and substantially increased the hatching of the eggs produced by PPF-treated female mosquitoes. Thus, the results suggested that PPF relied on Met to exert its sterilizing effects on female mosquitoes. In summary, this study finds that PPF exposure disturbs normal hormonal responses and metabolism in Ae. aegypti, shedding light on the molecular targets and the downstream signaling pathways activated by PPF. Author summaryAedes aegypti mosquitoes are responsible for the transmission of dengue, yellow fever, chikungunya, and Zika fever. Insecticides are widely used as the primary tool in the prevention and control of these infectious diseases. In light of the rapid increase of insecticide resistance in mosquito populations, there is an urgent need to find new classes of insecticides with a different mode of action. Here we found that pyriproxyfen, an analog of insect juvenile hormone (JH), had a large impact on the oocyte development, both before and after blood feeding, in female mosquitoes. Pyriproxyfen disturbed normal hormonal responses and caused metabolic shifting in female adults. These actions appear to collectively impair oocyte development and substantially reduce viable progenies of female mosquitoes. Besides, we demonstrated the involvement of the JH receptor Met in pyriproxyfen-induced female sterilization. This study significantly advances our understanding of mosquito reproductive biology and the molecular basis of pyriproxyfen action, which are invaluable for the development of new mosquito control strategies.

molecular biology↗

bioRxiv2020

Sonic Hedgehog is not a limb morphogen but acts as a trigger to specify all digits.

Limb patterning by Sonic hedgehog (Shh) has served as a paradigm of "morphogen" function, acting either by graded spatial or temporal signal integration. Yet how Shh instructs distinct digit identities remains controversial. Here, we bypassed the requirement for Shh in cell survival during limb bud outgrowth and demonstrate that a transient, early Shh pulse is both necessary and sufficient for normal limb development. Our analysis of Shh-responding cells shows signaling acts at only short-range during this time window and that Shh patterns digits indirectly, via a relay mechanism, rather than by direct spatial or temporal signal integration. Using a genetic assay for relay signaling, we unexpectedly discovered Shh also specifies digit 1 (the thumb; previously thought to be exclusively Shh-independent) indirectly, thus implicating Shh in a unique regulatory hierarchy for digit 1 evolutionary adaptations, such as opposable thumbs. This study illuminates Shh as a trigger for a relay network that becomes rapidly self-sustaining, with mechanistic relevance for limb development, regeneration, and evolution.

developmental biology↗

bioRxiv2020

SCAN-ATAC Sim: a scalable and efficient method to simulate single-cell ATAC-seq from bulk-tissue experiments

SummaryscATAC-seq is a powerful approach for characterizing cell-type-specific regulatory landscapes. However, it is difficult to benchmark the performance of various scATAC-seq analysis techniques (such as clustering and deconvolution) without having a priori a known set of gold-standard cell types. To simulate scATAC-seq experiments with known cell-type labels, we introduce an efficient and scalable scATAC-seq simulation method (SCAN-ATAC-Sim) that down-samples bulk ATAC-seq data (e.g., from representative cell lines or tissues). Our protocol uses a consistent but tunable signal-to-noise ratio across cell types in a scATAC-seq simulation for integrating bulk experiments with different levels of background noise, and it independently samples twice without replacement to account for the diploid genome. Because it uses an efficient weighted reservoir sampling algorithm and is highly parallelizable with OpenMP, our implementation in C++ allows millions of cells to be simulated in less than an hour on a laptop computer. AvailabilitySCAN-ATAC-Sim is available at scan-atac-sim.gersteinlab.org. Contactpi@gersteinlab.org Supplementary informationSupplementary data are available at Bioinformatics online.

bioinformatics↗

bioRxiv2020

Intestinal inflammation modulates the expression of ACE2 and TMPRSS2 and potentially overlaps with the pathogenesis of SARS-CoV-2 related disease

The presence of gastrointestinal symptoms and high levels of viral RNA in the stool suggest active Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) replication within enterocytes. Here, in multiple, large cohorts of patients with inflammatory bowel disease (IBD), we have studied the intersections between Coronavirus Disease 2019 (COVID-19), intestinal inflammation and IBD treatment. A striking expression of ACE2 on the small bowel enterocyte brush border supports intestinal infectivity by SARS-CoV-2. Commonly used IBD medications, both biologic and non-biologic, do not significantly impact ACE2 and TMPRSS2 receptor expression in the uninflamed intestines. Additionally, we have defined molecular responses to COVID-19 infection that are also enriched in IBD, pointing to shared molecular networks between COVID-19 and IBD. These data generate a novel appreciation of the confluence of COVID-19- and IBD-associated inflammation and provide mechanistic insights supporting further investigation of specific IBD drugs in the treatment of COVID-19.

immunology↗

bioRxiv2020

FGFR Signaling Coordinates the Balance Between Glycolysis and Fatty Acid β-Oxidation in Lymphatic Endothelial Cells

The balance between glycolysis and oxidative phosphorylation is believed to be critical for maintaining cellular bioenergetics, yet the regulation of such balance in lymphatic endothelial cells (LECs) remains unclear. Here we found that chemical inhibition of fibroblast growth factor receptor (FGFR) activity or knockdown of FGFR1, which has been shown to suppress glycolysis and consequently ATP production, induces substantial upregulation of fatty acid {beta}-oxidation (FAO), but not glucose oxidation or glutamine oxidation in LECs. Mechanistically, blockade of FGFR-AKT signaling promotes the expression of CPT1A, a rate-limiting enzyme of FAO, in a PPAR-dependent manner. Metabolic analysis further showed that CPT1A depletion impairs ATP generation in FGFR1-deficient rather than wild-type LECs. This result suggests that FAO, which makes a minor contribution to cellular energy under normal conditions, can compensate for energy deficiency caused by FGFR inhibition. Consequently, CPT1A silencing potentiates the effect of FGFR1 knockdown on impeding LEC proliferation and migration. Collectively, our study identified an FGFR-regulated metabolic balance that is important for LEC growth.

cell biology↗

bioRxiv2020

Nucleolin is essential for rabbit hemorrhagic disease virus replication by providing a physical link in replication complex formation

Rabbit hemorrhagic disease virus (RHDV) is an important member of the Caliciviridae family and cannot be propagated in vitro, which has greatly impeded progress of investigating its replication mechanism. Construction of an RHDV replicon system has recently provided a platform for exploring RHDV replication in host cells. Here, aided by this replicon system and using two-step affinity purification, we purified the RHDV replicase and identified its associated host factors. We identified rabbit nucleolin (NCL) as a physical link required for the formation of RHDV replication complexes (RCs), by mediating the interaction between other host proteins and the viral RNA replicase, RNA-dependent RNA polymerase (RdRp). We found that RHDV RdRp uses an amino acid (aa) region spanning residues 448-478 to directly interact with NCLs RNA-recognition motif 2. We also found that the viral p16 protein uses a highly conserved region (35Cys-Ile-Arg-Ala38 or CIRA motif) to specifically bind the N-terminal region of NCL (aa 1-110) and that RHDV p23 uses a specific domain (aa 90-145) to bind NCLs RNA-recognition motif 1. Disrupting these protein-protein interactions severely weakened viral replication. Furthermore, NCL overexpression or knockdown significantly increased or severely impaired, respectively, RHDV replication. Collectively, these results indicate that the host protein NCL is essential for RHDV replication and plays a key role in the formation of RHDV RCs. The mechanisms by which NCL promotes viral replicase assembly reported here shed light on viral RC biogenesis and may inform antiviral therapies. Author summaryRabbit hemorrhagic disease virus (RHDV) is the causative agent of highly contagious and lethal hemorrhagic disease in the European rabbit, but the host factors involved in RHDV replication remain poorly understood. In the present study, we isolated RHDV replication complex (RC) for the first time and identified its main components. We found that nucleolin (NCL) plays a key role in the formation of the RHDV RC. NCL not only interacts with viral replicase (RdRp), it also specifically binds to other important host factors. In addition, we proved that NCL is necessary for RHDV replication because the level of RHDV replication is significantly affected by knocking down the NCL gene in cells. Together, our data suggest that RHDV completes its replication by hijacking NCL to recruit other viral proteins and host factors, thereby assembling the RC of RHDV.

microbiology↗

bioRxiv2020

Effects of regulatory network organization and environment on PmrD connector activity and polymyxin resistance in Klebsiella pneumoniae and Escherichia coli

Polymyxins are a class of cyclic peptides with antimicrobial activity against Gram-negative bacteria. Resistance to these compounds is often mediated by pathways that also confer resistance to host antimicrobial peptides. In Enterobacteriaceae, the PhoQ/PhoP and PmrB/PmrA two-component systems regulate many of the genes associated with these resistance mechanisms. In K. pneumoniae, spontaneous polymyxin resistance is frequently acquired through inactivation of the gene mgrB, which encodes a negative regulator of PhoQ. However, this resistance mechanism has not been reported in other genera of Enterobacteriaceae, despite the presence of mgrB among many members of this family. In addition, the frequency of developing spontaneous resistance to the antimicrobial peptide polymyxin through chromosomal mutations is much higher in Klebsiella compared to Salmonella or E. coli. Here we show that in K. pneumoniae, PmrD is not required for polymyxin resistance arising from inactivation of mgrB. In addition, we show that in E. coli, the protein PmrD can activate PmrA under certain conditions. Our results suggest that the importance of PmrD connector activity in polymyxin resistance depends on both the network organization and on the environmental conditions associated with PmrB stimulation.

microbiology↗

bioRxiv2020

An artificial intelligence system reveals liquiritin inhibits SARS-CoV-2 by mimicking type I interferon

The pandemic COVID-19 has spread to all over the world and greatly threatens safety and health of people. COVID-19 is highly infectious and with high mortality rate. As no effective antiviral treatment is currently available, new drugs are urgently needed. We employed transcriptional analysis to uncover potential antiviral drugs from natural products or FDA approved drugs. We found liquiritin significantly inhibit replication of SARS-CoV-2 in Vero E6 cells with EC50 = 2.39 M. Mechanistically, we found liquiritin exerts anti-viral function by mimicking type I interferon. Upregulated genes induced by liquiritin are enriched in GO categories including type I interferon signaling pathway, negative regulation of viral genome replication and etc. In toxicity experiment, no death was observed when treated at dose of 300 mg/kg for a week in ICR mice. All the organ indexes but liver and serum biochemical indexes were normal after treatment. Liquiritin is abundant in licorice tablet (~0.2% by mass), a traditional Chinese medicine. Together, we recommend liquiritin as a competitive candidate for treating COVID-19. We also expect liquiritin to have a broad and potent antiviral function to other viral pathogens, like HBV, HIV and etc.

systems biology↗

bioRxiv2020

Efficacy of transoral laser surgery versus linear accelerator radiotherapy for the treatment of T1 glottic carcinoma: a meta-analysis of oncologic outcomes

ObjectiveA meta-analysis was conducted to compare oncologic outcomes for patients of T1 glottic carcinoma who were treated with transoral laser surgery (TLS) or linear accelerator radiotherapy (linac RT). MethodsAll related studies published up to September 2019 were acquired by searching Pubmed, EMBASE, and Cochrane, with the index words: glottic, vocal, laryngeal, radiation, radiotherapy, irradiation, laser, surgery, cordectomy, carcinoma and cancer. Relative studies which compared oncologic outcomes between linac RT and TLS were included. Sensitivity analysis were performed to evaluate heterogeneity. ResultsA total of twelve eligible studies were included for the analysis, which contained three prospective studies and nine retrospective studies. Patients who underwent TLS had increased overall survival (OR = 1.40, 95% CI=1.02-1.94, P=0.04) and laryngeal preservation (OR = 5.37, 95% CI = 3.05-9.44, P < 0.00001) versus who underwent linac RT. No statistical difference was observed between TLS group and linac RT group in terms of local control (OR=0.88, 95% CI = 0.62-1.24, P = 0.47), disease-specific survival (OR = 0.61, 95% CI = 0.26-1.43, P = 0.26), and disease-free survival (OR = 1.63, 95% CI = 0.70-3.81, P = 0.14). ConclusionsThe results of this meta-analysis indicate that there were clinical benefits for patients with glottic carcinoma after TLS compared with linac RT with respect to overall survival and laryngeal preservation. However, more multi-center randomized controlled trials would be urgently needed to prove these differences.

cancer biology↗

bioRxiv2020

Full three-dimensional imaging deep through multicellular thick samples with subcellular resolution by structured illumination microscopy and adaptive optics

Structured Illumination Microscopy enables live imaging with resolutions of ~120 nm. Unfortunately, optical aberrations can lead to loss of resolution and artifacts in Structured Illumination Microscopy rendering the technique unusable in samples thicker than a single cell. Here we report on the combination of Adaptive Optics and Structured Illumination Microscopy enabling imaging with 140 nm lateral and 585 nm axial resolution in tissue culture cells, C. elegans, and rice blast fungus. We demonstrate that AO improves resolution and reduces artifacts, making full 3D SIM possible in thicker samples.

cell biology↗

bioRxiv2020

Noisy Pooled PCR for Virus Testing

Fast testing can help mitigate the coronavirus disease 2019 (COVID-19) pandemic. Despite their accuracy for single sample analysis, infectious diseases diagnostic tools, like RT-PCR, require substantial resources to test large populations. We develop a scalable approach for determining the viral status of pooled patient samples. Our approach converts group testing to a linear inverse problem, where false positives and negatives are interpreted as generated by a noisy communication channel, and a message passing algorithm estimates the illness status of patients. Numerical results reveal that our approach estimates patient illness using fewer pooled measurements than existing noisy group testing algorithms. Our approach can easily be extended to various applications, including where false negatives must be minimized. Finally, in a Utopian world we would have collaborated with RT-PCR experts; it is difficult to form such connections during a pandemic. We welcome new collaborators to reach out and help improve this work!

molecular biology↗

bioRxiv2020

Visual function restoration in genetically blind mice via endogenous cellular reprogramming

In this study, we developed an in-situ cellular reprogramming strategy for potent restoration of vision in advanced/end-stage retinitis pigmentosa (RP). Via repressing PTB, an RNA binding protein critical for converting non-neuronal cells to the neuronal lineage, we successfully reprogramed Muller glia to a retinal neuronal fate, and then to cones. We demonstrated that this cellular reprogramming approach was able to rescue retinal photoreceptor degeneration and restore visual functions in two RP mouse models with total blindness, suggesting a novel universal strategy for treating end-stage degenerative diseases.

cell biology↗

bioRxiv2020

NOGEA: Network-Oriented Gene Entropy Approach for Dissecting Disease Comorbidity and Drug Repositioning

Rapid development of high-throughput technologies has permitted the identification of an increasing number of disease-associated genes (DAGs), which are important for understanding disease initiation and developing precision therapeutics. However, DAGs often contain large amounts of redundant or false positive information, leading to difficulties in quantifying and prioritizing potential relationships between these DAGs and human diseases. In this study, a network-oriented gene entropy approach (NOGEA) is proposed for accurately inferring master genes that contribute to specific diseases by quantitatively calculating their perturbation abilities on directed disease-specific gene networks. In addition, we confirmed that the master genes identified by NOGEA have a high reliability for predicting disease-specific initiation events and progression risk. Master genes may also be used to extract the underlying information of different diseases, thus revealing mechanisms of disease comorbidity. More importantly, approved therapeutic targets are topologically localized in a small neighborhood of master genes on the interactome network, which provides a new way for predicting new drug-disease associations. Through this method, 11 old drugs were newly identified and predicted to be effective for treating pancreatic cancer and then validated by in vitro experiments. Collectively, the NOGEA was useful for identifying master genes that control disease initiation and co-occurrence, thus providing a valuable strategy for drug efficacy screening and repositioning. NOGEA codes are publicly available at https://github.com/guozihuaa/NOGEA.

systems biology↗