Glioblastoma multiforme (GBM), a highly aggressive brain tumor characterized by molecular heterogeneity, necessitates integrative approaches to decipher driver pathways and therapeutic vulnerabilities. Here, we present gtePIDP, a computational framework that systematically integrates multi-omics data (genomic, transcriptomic, epigenetic) to identify Phenotypically Impactful Driver Pathways through dual evaluation of mutation patterns (coverage/exclusivity) and downstream regulatory cascades. Leveraging mutation profiles and expression data from The Cancer Genome Atlas (TCGA), combined with transcription factor (TF) and miRNA regulatory networks, we constructed a systems biology model to map somatic alterations to phenotypic outcomes. By iteratively pruning candidate driver genes and quantifying resultant perturbations in gene expression and regulatory activities, gtePIDP prioritizes gene sets that maximize mutational significance and phenotypic impact. Our analysis uncovered pivotal GBM driver pathways involving TP53, CDKN2A, MDM2, and RB1, which disrupt key cancer-associated regulators (e.g., oncogenic: NFATC2, MIR-370; tumor-suppressive: MIR-506, MIR-9, FOXJ2), driving dysregulation of angiogenesis, apoptosis, and proliferation. Notably, we identified therapeutic axes such as TP53/MIR-185/VEGFA and MDM2/SMAD4/VEGFA, suggesting anti-angiogenic targeting strategies. Furthermore, a PI3K-Akt signaling regulatory module revealed actionable targets (CDKN2A/CREBBP/OSMR and TP53/MIR-9/FGF12) for intervention. By bridging mutational landscapes with transcriptional/epigenetic dysregulation, gtePIDP advances mechanistic driver pathway discovery and prioritizes targets with clinical relevance. This study highlights the power of multi-omics integration to unravel GBM pathogenesis and accelerate precision oncology strategies. ### Competing Interest Statement The authors have declared no competing interest.

Transcriptional regulatory networks (TRNs) are pivotal in deciphering the molecular mechanisms underlying cancer progression. However, integrating multi-omics data to construct context-specific TRNs and dissecting their pan-cancer relevance remain challenging. Here, we developed a framework integrating RNA-seq, ATAC-seq, and DNA methylation data to reconstruct TRNs across 15 cancer types from The Cancer Genome Atlas (TCGA). Using the PECA model, we identified TF-RE-TG (transcription factor - regulatory element - target gene) regulatory relationships and refined networks using protein-protein interaction (PPI) data and methylation-aware motif filtering. Our analysis revealed cancer-specific and pan-cancer dysregulated TFs and TGs enriched in processes such as apoptosis, proliferation, and immune response. Notably, hub TFs like TBP and SP2 orchestrated pan-cancer modules linked to DNA repair and cell cycle regulation. Survival analysis identified prognostic TGs (e.g., ANLN, DOCK6), while enhancer and methylation analyses highlighted epigenetic drivers (e.g., SAPCD2, WRAP53) in tumorigenesis. Our study provides a comprehensive resource of cancer TRNs, unveiling conserved regulatory mechanisms and epigenetic vulnerabilities, with implications for precision oncology. ### Competing Interest Statement The authors have declared no competing interest.

Metastatic progression is responsible for the majority of cancer-related deaths. A better understanding of the underlying molecular mechanisms driving metastasis therefore remains of utmost importance. Here we take efforts to excavate mutant driver factors of metastases in the level of signaling pathways. We introduce two models, EntCDP and ModSDP, to detect the similarity and specificity of pathways in a pan-cancer context. The simulation studies confirm their feasibility and identification accuracy. Using mutation profiles of 17 cancer types with primary and metastatic cohorts from MSK-IMPACT, we apply the two models to investigate the transition of signaling systems from primary to metastatic tumors mainly from five perspectives. 1) We initially perform a comprehensive comparison of 15 primary-metastatic cancer pairs. Nearly all shared common driver genes or pathways, while specific driver gene sets of primary or/and metastatic tumors can be seen for almost each pair, except for breast cancer. 2) We use ModSDP to identify the specificity of metastases with the same primary site and highlight calcium signaling in breast cancer with bone metastasis, FoxO signaling for melanoma/lung lymph node metastasis, etc. 3) Oppositely, we use EntCDP to identify common factors yielding three frequently metastatic sites (liver, lung and brain), and recognized cushing syndrome, microRNAs in cancer and MAPK signaling pathway, separately. 4) Regarding high-tropism metastatic patterns, we investigated the relationship between the metastatic tumor and primary tumors in both locations. In the typical pattern of colorectal cancer metastasis to the liver, we detected hepatic signals in primary colorectal cancer. 5) Finally, we focused on the common and specific characteristics of relevant cancer types, such as gender-related cancers and gastrointestinal cancers. Study on gynecologic tumors suggest endocrine hormone change and virus infection as their common risk factors, while for male we highlight hedgehog signaling and EPH-related receptors as invasive potential of prostate cancer. Multiple interesting findings revealed by this study may be helpful for the understanding of the extent of signal changes during tumor metastasis. We expect that this study will provide a valuable resource for transforming our knowledge about signals in cancer metastasis into alternative clinical practice for advanced patients. ### Competing Interest Statement The authors have declared no competing interest.

澳柏松小吉丁为一种广泛分布于澳大利亚的林木害虫,寄主为柏科的澳柏属及柏木属植物.近期上海口岸多次从澳大利亚进境原木中截获澳柏松小吉丁.其寄主柏木属植物在我国分布范围广,该种在我国未有分布,具潜在入侵风险,应得到各口岸重视,警惕该种入侵.本文对其形态特征、生物学特性及入侵风险等内容进行了综述,为澳柏松小吉丁的识别提供参考.

知识分享是重要的人际传播和组织传播的过程.以往研究已阐明人格特质在组织背景下对知识分享行为的影响,但大多是通过整体方式而非通过调查特定的成对人员的方式来探究知识分享.由于知识分享涉及多种对象和渠道,本研究从社会网络分析的视角出发,研究团队内人格与知识分享网络中心度(出度和入度)之间的关系.本研究把知识划分为新知识、一般知识以及技能知识.研究结果表明:人格各维度与新知识分享网络中心度无关,宜人性与一般知识和技能知识分享网络的出度及入度正相关,责任心与一般知识和技能知识分享网络出度正相关,神经质与技能知识分享网络出度负相关.文章同时从促进知识分享的角度对团队建设给出建议,并对未来研究方向进行了讨论.

Lean Blow-Off (LBO) prediction is important to propulsion system design. In this paper, a hybrid method combining numerical simulation and Da (Damkohler) model is proposed based on bluffbody stabilized flames. In the simulated reacting flow, Practical Reaction Zone (PRZ) is built based on OH radical concentration, and it is considered to be the critical zone that controls LBO. Da number is obtained based on the volume-averaged parameters of PRZ. The flow time scale (tau(f)) indicates the residence time of the fresh mixture flowing through the PRZ. It is obtained based on the characteristic length and volume-averaged axial velocity of the PRZ. The chemical time scale (tau(c)) indicates the shortest time needed to trigger the reaction of the mixture. It is obtained by commercial software CHEMKIN through monitoring the transient variation of the reactor temperature. The result shows that the average Da number under different LBO conditions is 1.135 (the Da number under each LBO condition ranges from 0.673 to 1.351). This indicates that the flow time scale and chemical time scale are comparable. The combustion is in a critical state where LBO is easy to occur. With the increase of the fuel mass flow rate (the global fuel/air ratio increases from 0.004761 to 0.01095), tau(f) increases from 0.001268 s to 0.007249 s, and tau(c) decreases from 0.00124 s to 0.00089 s. Accordingly, Da number increases from 1.023 to 8.145, which shows that the combustion becomes more stable. The above results show that the method proposed in the present study can properly predict the LBO limits of combustors, which provides important technical supports for combustor design and optimization. (C) 2019 Chinese Society of Aeronautics and Astronautics. Production and hosting by Elsevier Ltd.

本文介绍了口岸进口木材中多次截获的方胸小蠹属(Euwallacea Hopkins,1915)害虫,对口岸截获的具有重要经济和检疫意义的该属种类,我们提供重要鉴别特征和图片,并编制了该属口岸常截获种类及近似种的检索表,希望能为口岸一线的检测鉴定提供参考.

昆虫监测技术通常由光学、声学和化学生态学开发而来.本文介绍了这3种昆虫监测技术的基本原理、使用范围、应用效果.灯光和色板诱虫谱广,适用于监测点昆虫多样性调查;声波探测是一项新兴技术,对封闭环境的昆虫监测具有优势,有很好的应用前景;信息素具有很强的专一性,能高效灵敏地监测某一种害虫,应用于特定害虫发生动态的监测.本文综合比较了这3种昆虫监测技术的优缺点,为监测技术的研发提供参考.

Lepidopterans are known to have different pheromone-binding proteins with differential expression patterns that facilitate specific signal transduction of semiochemicals. Two PBPs of the Asian gypsy moth, Lymantria dispar, were reported to express in both females and males, but their physiological functions were unknown. Results showed that LdisPBP1 and LdisPBP2 were expressed in the sensilla trichodea of males and the s. trichodea and s. basiconica of females. When LdisPBP1 gene was targeted by RNA interference (RNAi) in males, the expression of LdisPBP1 and LdisPBP2 decreased by 69 and 76%, respectively, and when LdisPBP2 gene was targeted by RNAi, they decreased by 60 and 42%, respectively. In females, after treatment with LdisPBP1 dsRNA, LdisPBP1 and LdisPBP2 levels were reduced by 26 and 69%, respectively, and LdisPBP2 dsRNA reduced the relative expression of them by 4 and 62%, respectively. The expression of LdisPBP1 and LdisPBP2 was interdependent. Electroantennogram (EAG) recordings showed that LdisPBPs participate in the recognition of the sex pheromone in males, and the sex pheromone and plant volatiles in females. The function of LdisPBPs represents the sex-specific roles.

苍白树皮象是我国禁止进境的检疫性有害生物,本文介绍了检疫性害虫苍白树皮象的分布、寄主、生物学特性、危害和形态鉴定特征,并提供了北美地区常见树皮象的检索表和形态图,以供相关人员鉴定参考.

长林小蠹是原产欧洲的一种重要的森林害虫,可随木质包装材料、衬垫及原木运输而传播扩散,已经成功入侵到世界多个国家和地区.随着我国进口木材量的增加,我国口岸截获外来长林小蠹的频率增高,因此,长林小蠹入侵我国的风险正逐步提高.本文以长林小蠹在全球的分布数据为基础,利用MaxEnt模型和Arc-GIS对长林小蠹在我国的适生区进行了分析预测,结果表明:该害虫中高度适生区主要分布在我国云南、贵州、广西、湖北、陕西、甘肃、台湾、安徽、浙江、福建、江西、湖南等省份.因此各口岸需要加强对长林小蠹的检疫,以防止该害虫的传入和定殖.

Carpomya vesuviana (Costa; Diptera: Tephritidae) is an agricultural pest that causes serious damage to jujube fruits. However, the mechanism of olfaction, which is critical for host identification, is not well understood in this pest. In this study, we have identified for the first time five protein types involved in the olfactory signal transduction of C. vesuviana by using transcriptome sequencing. These include 6 odorant-binding proteins (OBPs), 15 odorant receptors (ORs), 22 gustatory receptors (GRs), 2 chemosensory proteins (CSPs), and 2 sensory neuron membrane proteins (SNMPs). Amino acids alignment and phylogenetic analysis showed that all 6 OBPs have a signal peptide at their respective N-termini with four OBPs belonging with the classic OBPs, and OBP2 and OBP5 belonging to the Minus-C family. OBP3 clustered with the OBP83a/83b clade, which comprised pheromone binding protein related proteins (PBPRPs). Moreover, volatiles from C. vesuviana adults and its host plants were collected and identified by using solid phase microextraction (SPME) and gas-chromatography/mass spectrometry (GC/MS). The results indicated that male adults emitted nonanal, and five other compounds, caryophyllene, chamigrene, camphene, (Z)-3-hexen-1-ol acetate, and ocimene were identified in the fruits of jujubes. Electroantennogram (EAG) assays revealed that adult C. vesuviana responded to all six compounds along with two additional pheromones (geranyl acetate and α-farnesene) from other tephritids and the values ranged from 0.50mV to 1.26mV. To further explore the interaction between OBPs and volatiles, competitive binding assays were carried out. The results showed that only CvesOBP2 had binding affinity to (Z)-3-hexen-1-ol acetate. OBP5 and OBP6 exhibited broad spectrum binding to compounds with relatively low molecular weights, and OBP1 and OBP4 had some affinity to caryophyllene and chamigrene. However, OBP3 exhibited relatively high binding affinity to α-farnesene. The findings of this study provide insights into the olfactory mechanisms and the potential functions of OBPs in the olfactory reception pathway in C. vesuviana. The OBPs identified in this study could be used as potential targets to develop attractants to monitor this insect pest for effective pest control.

Cancer is known as a disease mainly caused by gene alterations. Discovery of mutated driver pathways or gene sets is becoming an important step to understand molecular mechanisms of carcinogenesis. However, systematically investigating commonalities and specificities of driver gene sets among multiple cancer types is still a great challenge, but this investigation will undoubtedly benefit deciphering cancers and will be helpful for personalized therapy and precision medicine in cancer treatment. In this study, we propose two optimization models to de novo discover common driver gene sets among multiple cancer types (ComMDP) and specific driver gene sets of one certain or multiple cancer types to other cancers (SpeMDP), respectively. We first apply ComMDP and SpeMDP to simulated data to validate their efficiency. Then, we further apply these methods to 12 cancer types from The Cancer Genome Atlas (TCGA) and obtain several biologically meaningful driver pathways. As examples, we construct a common cancer pathway model for BRCA and OV, infer a complex driver pathway model for BRCA carcinogenesis based on common driver gene sets of BRCA with eight cancer types, and investigate specific driver pathways of the liquid cancer lymphoblastic acute myeloid leukemia (LAML) versus other solid cancer types. In these processes more candidate cancer genes are also found.

According to Animal and Plant Inspection and Quarantine Information Resource Sharing Service Platform,we make statistical analyses to datum of intercepted insects at China ports from 2005 to 2015 in the paper,which reveals the taxonomic category features of intercepted insects species and summarizes information of quarantine insects and frequently intercepted species at ports.The problems reflected in the data are discussed yet.It is excepted to serve as a reference for inspectors on site and quarantine researchers.

[Objective] This study aims to clone Carpomya vesuviana Costa odorant binding protein(CvcoOBP)and analyze expression profile of CvcoOBP in order to lay the foundation of researching CvcoOBP in Carpomya vesuviana Costa.[Method]Based on transcriptome sequencing of cephalic RNA,the study has analyzed CvcoOBP according to alignment and phylogenetic analysis.The research was also conducted into the tissue specific expression of CvcoOBP by semi-quantitative reverse transcription and polymerase chain reaction(sqRT-PCR).[Result]The study has obtained seven CvcoOBP that had been named respectively as CvcoOBP1-7(GenBank accession number: KU975053,KU975054,KU975055,KX059394,KU975056,KX059395 and KX059396).According to amino acid alignment,CvcoOBP1,CvcoOBP3,CvcoOBP4,CvcoOBP6 and CvcoOBP7 had been proved to be a family of classic OBP,which contained six highly conversed cysteine residues.CvcoOBP2 and CvcoOBP5 belonged to a family of "Minus-C",which had only four highly conversed cysteine residues.Phylogenetic analysis showed that CvcoOBP1-7 had close relationships with different OBPs.Finally,sqRT-PCR revealed that CvcoOBP1-7 could be highly expressed in abdomen,head and thorax.CvcoOBP1 and CvcoOBP2 could be also expressed in wings with relatively low expression.CvcoOBP1,CvcoOBP5 and CvcoOBP6 were also found in legs.[Conclusion]For the first time,the study obtained and analyzed seven CvcoOBP.Different CvcoOBP are various in terms of expression sites and expression quantity.The CvcoOBP1-6 separately belongs to OBP56g,OBP8a,OBP83a,OBP56h,OBP99c and OBP83ef type.

The genus Dacus is one of the most economically important tephritid fruit flies. The first complete mitochondrial genome (mitogenome) of Dacus species – D. longicornis was sequenced by next-generation sequencing in order to develop the mitogenome data for this genus. The circular 16,253 bp mitogenome is the typical set and arrangement of 37 genes present in the ancestral insect. The mitogenome data of D. longicornis was compared to all the published homologous sequences of other tephritid species. We discovered the subgenera Bactrocera , Daculus and Tetradacus differed from the subgenus Zeugodacus , the genera Dacus , Ceratitis and Procecidochares in the possession of TA instead of TAA stop codon for COI gene. There is a possibility that the TA stop codon in COI is the synapomorphy in Bactrocera group in the genus Bactrocera comparing with other Tephritidae species. Phylogenetic analyses based on the mitogenome data from Tephritidae were inferred by Bayesian and Maximum-likelihood methods, strongly supported the sister relationship between Zeugodacus and Dacus .

运用扫描电镜(SEM)和透射电镜(TEM)技术分析了松六齿小蠹Ips acuminatus(Coleoptera:Scolytidae)成虫触角感器的外部形态和内部结构.结果显示:松六齿小蠹成虫的触角上有毛形感器、刺形感器、锥形感器以及少量的腺孔,它们着生在触角顶端3节缩短聚集成的平面上.在第3节膨大处着生有少量的锯齿形刚毛.

The pathogenesis of cancer in human is still poorly understood. With the rapid development of high-throughput sequencing technologies, huge volumes of cancer genomics data have been generated. Deciphering that data poses great opportunities and challenges to computational biologists. One of such key challenges is to distinguish driver mutations, genes as well as pathways from passenger ones. Mutual exclusivity of gene mutations (each patient has no more than one mutation in the gene set) has been observed in various cancer types and thus has been used as an important property of a driver gene set or pathway. In this article, we aim to review the recent development of computational models and algorithms for discovering driver pathways or modules in cancer with the focus on mutual exclusivity-based ones.

本文介绍了从非洲进口木材中多次截获的精灵小蠹属(Hapalogenius Hagedorn,1912)有害昆虫,对该属的分类地位及属内种类修订的新进展进行论述,对口岸经常截获的1种凹额精灵小蠹(Hapalogenius atakorae (Sehedl,1951))进行描述,提供重要鉴别特征图和该种2个近似种的重要鉴别特征,并提供该属所有种类的简介附录,包括寄主、分布等信息以及该属与近似属的检索表.

The gypsy moth, Lymantria dispar, is an important economic pest that causes large-scale damage to forests worldwide. Because of its important role in initiating and controlling insect behavior, olfaction-and olfaction-based pest management-has drawn increasing attention from entomologists. In this study, we identified the gene that encodes the olfactory receptor co-receptor (OrCo). Through amino acid sequence alignment, we found that LdisOrCo shares high identity with other OrCo proteins from different insect orders. Next, we performed RNA-interference (RNAi) to assess the role of OrCo in olfaction. Electroantennographic assays showed that after RNAi, the average value of males' response to sex pheromones was 0.636 mV, significantly lower than that of the positive control (average = 1.472 mV). Females showed no response to sex pheromones before or after RNAi. Finally, quantitative PCR showed a strong decrease in the expression of OrCo after RNAi, by ~74% in males and by 23% in females relative to the positive controls. These results indicate that OrCo is not only critical to odor recognition, but it may also represent a new target for development of semiochemicals that can influence insect behavior.