scholarly journals Early Onset Ataxia with Comorbid Dystonia: Clinical, Anatomical and Biological Pathway Analysis Expose Shared Pathophysiology

Diagnostics ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. 997
Author(s):  
Deborah A. Sival ◽  
Martinica Garofalo ◽  
Rick Brandsma ◽  
Tom A. Bokkers ◽  
Marloes van den Berg ◽  
...  
Keyword(s):  
Signal Transduction ◽  
In Silico ◽  
Krebs Cycle ◽  
Enrichment Analysis ◽  
Functional Enrichment Analysis ◽  
Genetic Network ◽  
Functional Enrichment ◽  
Biological Pathway ◽  
Adult Onset ◽  
Gene Panels

In degenerative adult onset ataxia (AOA), dystonic comorbidity is attributed to one disease continuum. However, in early adult onset ataxia (EOA), the prevalence and pathogenesis of dystonic comorbidity (EOAD+), are still unclear. In 80 EOA-patients, we determined the EOAD+-prevalence in association with MRI-abnormalities. Subsequently, we explored underlying biological pathways by genetic network and functional enrichment analysis. We checked pathway-outcomes in specific EOAD+-genotypes by comparing results with non-specifically (in-silico-determined) shared genes in up-to-date EOA, AOA and dystonia gene panels (that could concurrently cause ataxia and dystonia). In the majority (65%) of EOA-patients, mild EOAD+-features concurred with extra-cerebellar MRI abnormalities (at pons and/or basal-ganglia and/or thalamus (p = 0.001)). Genetic network and functional enrichment analysis in EOAD+-genotypes indicated an association with organelle- and cellular-component organization (important for energy production and signal transduction). In non-specifically, in-silico-determined shared EOA, AOA and dystonia genes, pathways were enriched for Krebs-cycle and fatty acid/lipid-metabolic processes. In frequently occurring EOAD+-phenotypes, clinical, anatomical and biological pathway analyses reveal shared pathophysiology between ataxia and dystonia, associated with cellular energy metabolism and network signal transduction. Insight in the underlying pathophysiology of heterogeneous EOAD+-phenotype-genotype relationships supports the rationale for testing with complete, up-to-date movement disorder gene lists, instead of single EOA gene-panels.

scholarly journals Transcriptome analysis insight into ethylene metabolism and pectinase activity of apricot (Prunus armeniaca L.) development and ripening

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Min Xu ◽  
Weiquan Zhou ◽  
Wenjuan Geng ◽  
Shirong Zhao ◽  
Yan Pan ◽  
...  
Keyword(s):  
Signal Transduction ◽  
Rna Sequencing ◽  
Developmental Stages ◽  
Enrichment Analysis ◽  
Functional Enrichment Analysis ◽  
Prunus Armeniaca ◽  
Functional Enrichment ◽  
Fruit Firmness ◽  
Climacteric Fruit ◽  
Pectinase Activity

AbstractEthylene metabolism is very important for climacteric fruit, and apricots are typical climacteric fruit. The activity of pectinase is closely related to fruit firmness, which further affects fruit quality. To better understand ethylene metabolism, pectinase activity and their molecular regulation mechanisms during the development and ripening of apricot fruit, ethylene metabolism, pectinase activity and the “Luntaibaixing” apricot fruit transcriptome were analyzed at different developmental stages. Ethylene metabolic precursors, enzyme activities and ethylene release increased during fruit development and ripening, with significant differences between the ripening stage and other stages (P < 0.05). Fruit firmness decreased significantly from the S1 to S5 stages, and polygalacturonase, pectin methylesterase, and pectin lyase activities were significantly higher in the S5 stage than in other stages. RNA sequencing (RNA-seq) analysis of fruit resulted in the identification of 22,337 unigenes and 6629 differentially expressed genes (DEGs) during development and ripening, of which 20,989 unigenes are annotated in public protein databases. In functional enrichment analysis, DEGs among the three stages were found to be involved in plant hormone signal transduction. Four key genes affecting ethylene metabolism, six key ethylene signal transduction genes and seven genes related to pectinase in apricot fruit were identified by KEGG pathway analysis. By RNA-sequencing, we not only clarified the molecular mechanism of ethylene metabolism during the ripening of "Luntaibaixing" apricot fruit but also provided a theoretical basis for understanding pectin metabolism in apricot fruit.

scholarly journals An In-Silico Analysis of Differentially Expressed Genes and mi-RNA Regulating Them in HPV Positive and HPV Negative Head and Neck Cancers (H&NC).

2021 ◽  
Author(s):  
Jyoti Shekhawat ◽  
Ashita Gadwal ◽  
Manoj Khokhar ◽  
Kavya Gauba ◽  
Shruti Gupta ◽  
...  
Keyword(s):  
Transcription Factors ◽  
In Silico ◽  
In Silico Analysis ◽  
Enrichment Analysis ◽  
Functional Enrichment Analysis ◽  
Functional Enrichment ◽  
Potential Candidate ◽  
Hub Genes ◽  
Microarray Gene Expression ◽  
Significant Gene

Abstract HPV contributes to the pathogenesis of H&NC. H&NC patients are diagnosed at an advanced stage and are more disposed to lymph node metastasis. There is conflicting evidence with regard to distant metastasis in H&NC. Identification of potential candidate genes which can be used as predictors of prognosis in HPV positive/negative H&NCs are needed. We initiated the study using publicly available microarray gene expression datasets from the GEO. Functional enrichment analysis of significant genes was done using the DAVID. The PPI network was constructed in the STRING and visualized using Cytoscape. The CytoHubb plugin was utilized to identify the key genes in this complicated network. The MCODE plugin was applied to screen out significant gene modules. Hub genes identified were analysed for overall survival (OS) in GEPIA. Analysis of the miRNA and transcription factors targeting the hub gene with significance was done using miRNet. GEO datasets GSE39366, GSE40774, GSE117973 were used in this study. We identified 67 overlapping DEGs which were significant. Gene Ontology identified key terms as ‘cellular component’, ‘biological process’, and ‘molecular function’ respectively. Cytoscape and MCODE revealed two significant modules. The common hub genes identified using cytohubb plugin. CAV1 has been reported to be significantly associated with OS in H&NC patients. 3 targeting miRNA and 54 transcription factors were identified using miRNet. In-silico survival and expression analyses revealed CAV1 as a candidate gene that may be used to predict the course of disease progression in HPV positive and HPV negative H&NC patients. Further invitro studies validating CAV1 and its three target miRNAs as predictors of prognosis in H&NC are highly warranted.

scholarly journals Transcriptome profiling of Capsicum annuum using Illumina- and PacBio SMRT-based RNA-Seq for in-depth understanding of genes involved in trichome formation

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Shenghua Gao ◽  
Ning Li ◽  
Juntawong Niran ◽  
Fei Wang ◽  
Yanxu Yin ◽  
...  
Keyword(s):  
Signal Transduction ◽  
Transcription Factor ◽  
Capsicum Annuum ◽  
Plant Hormone ◽  
Enrichment Analysis ◽  
Transcriptome Profiling ◽  
Functional Enrichment Analysis ◽  
Functional Enrichment ◽  
Biotic Stresses ◽  
Trichome Formation

AbstractTrichomes, specialized epidermal cells located in aerial parts of plants, play indispensable roles in resisting abiotic and biotic stresses. However, the regulatory genes essential for multicellular trichrome development in Capsicum annuum L. (pepper) remain unclear. In this study, the transcript profiles of peppers GZZY-23 (hairy) and PI246331 (hairless) were investigated to gain insights into the genes responsible for the formation of multicellular trichomes. A total of 40,079 genes, including 4743 novel genes and 13,568 differentially expressed genes (DEGs), were obtained. Functional enrichment analysis revealed that the most noticeable pathways were transcription factor activity, sequence-specific DNA binding, and plant hormone signal transduction, which might be critical for multicellular trichome formation in hairy plants. We screened 11 DEGs related to trichome development; 151 DEGs involved in plant hormone signal transduction; 312 DEGs belonging to the MYB, bHLH, HD-Zip, and zinc finger transcription factor families; and 1629 DEGs predicted as plant resistance genes (PRGs). Most of these DEGs were highly expressed in GZZY-23 or trichomes. Several homologs of trichome regulators, such as SlCycB2, SlCycB3, and H, were considerably upregulated in GZZY-23, especially in the trichomes. The transcriptomic data generated in this study provide a basis for future characterization of trichome formation in pepper.

Systems Biology Approaches Reveal a Multi-stress Responsive WRKY Transcription Factor and Stress Associated Gene Co-expression Networks in Chickpea

2019 ◽  
Vol 14 (7) ◽  
pp. 591-601 ◽  
Author(s):  
Aravind K. Konda ◽  
Parasappa R. Sabale ◽  
Khela R. Soren ◽  
Shanmugavadivel P. Subramaniam ◽  
Pallavi Singh ◽  
...  
Keyword(s):  
Expression Pattern ◽  
Gene Networks ◽  
Molecular Mechanisms ◽  
Enrichment Analysis ◽  
Functional Enrichment Analysis ◽  
Wrky Transcription Factor ◽  
Functional Enrichment ◽  
Differentially Expressed ◽  
Callose Deposition ◽  
Significant Probability

Background: Chickpea is a nutritional rich premier pulse crop but its production encounters setbacks due to various stresses and understanding of molecular mechanisms can be ascribed foremost importance. Objective: The investigation was carried out to identify the differentially expressed WRKY TFs in chickpea in response to herbicide stress and decipher their interacting partners. Methods: For this purpose, transcriptome wide identification of WRKY TFs in chickpea was done. Behavior of the differentially expressed TFs was compared between other stress conditions. Orthology based cofunctional gene networks were derived from Arabidopsis. Gene ontology and functional enrichment analysis was performed using Blast2GO and STRING software. Gene Coexpression Network (GCN) was constructed in chickpea using publicly available transcriptome data. Expression pattern of the identified gene network was studied in chickpea-Fusarium interactions. Results: A unique WRKY TF (Ca_08086) was found to be significantly (q value = 0.02) upregulated not only under herbicide stress but also in other stresses. Co-functional network of 14 genes, namely Ca_08086, Ca_19657, Ca_01317, Ca_20172, Ca_12226, Ca_15326, Ca_04218, Ca_07256, Ca_14620, Ca_12474, Ca_11595, Ca_15291, Ca_11762 and Ca_03543 were identified. GCN revealed 95 hub genes based on the significant probability scores. Functional annotation indicated role in callose deposition and response to chitin. Interestingly, contrasting expression pattern of the 14 network genes was observed in wilt resistant and susceptible chickpea genotypes, infected with Fusarium. Conclusion: This is the first report of identification of a multi-stress responsive WRKY TF and its associated GCN in chickpea.

scholarly journals Structural variations in papaya genomes

BMC Genomics ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Zhenyang Liao ◽  
Xunxiao Zhang ◽  
Shengcheng Zhang ◽  
Zhicong Lin ◽  
Xingtan Zhang ◽  
...  
Keyword(s):  
Agronomic Traits ◽  
Enrichment Analysis ◽  
Copy Number Variant ◽  
Functional Enrichment Analysis ◽  
Functional Enrichment ◽  
Structural Variations ◽  
Reproduction Traits ◽  
Depth Study ◽  
Environmental Adaptability ◽  
The Impact

Abstract Background Structural variations (SVs) are a type of mutations that have not been widely detected in plant genomes and studies in animals have shown their role in the process of domestication. An in-depth study of SVs will help us to further understand the impact of SVs on the phenotype and environmental adaptability during papaya domestication and provide genomic resources for the development of molecular markers. Results We detected a total of 8083 SVs, including 5260 deletions, 552 tandem duplications and 2271 insertions with deletion being the predominant, indicating the universality of deletion in the evolution of papaya genome. The distribution of these SVs is non-random in each chromosome. A total of 1794 genes overlaps with SV, of which 1350 genes are expressed in at least one tissue. The weighted correlation network analysis (WGCNA) of these expressed genes reveals co-expression relationship between SVs-genes and different tissues, and functional enrichment analysis shows their role in biological growth and environmental responses. We also identified some domesticated SVs genes related to environmental adaptability, sexual reproduction, and important agronomic traits during the domestication of papaya. Analysis of artificially selected copy number variant genes (CNV-genes) also revealed genes associated with plant growth and environmental stress. Conclusions SVs played an indispensable role in the process of papaya domestication, especially in the reproduction traits of hermaphrodite plants. The detection of genome-wide SVs and CNV-genes between cultivated gynodioecious populations and wild dioecious populations provides a reference for further understanding of the evolution process from male to hermaphrodite in papaya.

scholarly journals CCTs as new biomarkers for the prognosis of head and neck squamous cancer

Open Medicine ◽  
2020 ◽  
Vol 15 (1) ◽  
pp. 672-688
Author(s):  
Yanbo Dong ◽  
Siyu Lu ◽  
Zhenxiao Wang ◽  
Liangfa Liu
Keyword(s):  
Head And Neck ◽  
Survival Data ◽  
Enrichment Analysis ◽  
Functional Enrichment Analysis ◽  
Functional Enrichment ◽  
Advanced Tumor Stage ◽  
Expression Levels ◽  
T Complex ◽  
Advanced Tumor ◽  
Squamous Cancer

AbstractThe chaperonin-containing T-complex protein 1 (CCT) subunits participate in diverse diseases. However, little is known about their expression and prognostic values in human head and neck squamous cancer (HNSC). This article aims to evaluate the effects of CCT subunits regarding their prognostic values for HNSC. We mined the transcriptional and survival data of CCTs in HNSC patients from online databases. A protein–protein interaction network was constructed and a functional enrichment analysis of target genes was performed. We observed that the mRNA expression levels of CCT1/2/3/4/5/6/7/8 were higher in HNSC tissues than in normal tissues. Survival analysis revealed that the high mRNA transcriptional levels of CCT3/4/5/6/7/8 were associated with a low overall survival. The expression levels of CCT4/7 were correlated with advanced tumor stage. And the overexpression of CCT4 was associated with higher N stage of patients. Validation of CCTs’ differential expression and prognostic values was achieved by the Human Protein Atlas and GEO datasets. Mechanistic exploration of CCT subunits by the functional enrichment analysis suggests that these genes may influence the HNSC prognosis by regulating PI3K-Akt and other pathways. This study implies that CCT3/4/6/7/8 are promising biomarkers for the prognosis of HNSC.

scholarly journals Investigation and Functional Enrichment Analysis of the Human Host Interaction Network with Common Gram-Negative Respiratory Pathogens Predicts Possible Association with Lung Adenocarcinoma

2021 ◽  
Vol 28 (1) ◽  
pp. 20-33
Author(s):  
Lydia-Eirini Giannakou ◽  
Athanasios-Stefanos Giannopoulos ◽  
Chrissi Hatzoglou ◽  
Konstantinos I. Gourgoulianis ◽  
Erasmia Rouka ◽  
...  
Keyword(s):  
Lung Adenocarcinoma ◽  
Interaction Network ◽  
Enrichment Analysis ◽  
Functional Enrichment Analysis ◽  
Functional Enrichment ◽  
Cell Junctions ◽  
Respiratory Pathogens ◽  
Gram Negative ◽  
Human Proteins ◽  
Apoptotic Pathways

Haemophilus influenzae (Hi), Moraxella catarrhalis (MorCa) and Pseudomonas aeruginosa (Psa) are three of the most common gram-negative bacteria responsible for human respiratory diseases. In this study, we aimed to identify, using the functional enrichment analysis (FEA), the human gene interaction network with the aforementioned bacteria in order to elucidate the full spectrum of induced pathogenicity. The Human Pathogen Interaction Database (HPIDB 3.0) was used to identify the human proteins that interact with the three pathogens. FEA was performed via the ToppFun tool of the ToppGene Suite and the GeneCodis database so as to identify enriched gene ontologies (GO) of biological processes (BP), cellular components (CC) and diseases. In total, 11 human proteins were found to interact with the bacterial pathogens. FEA of BP GOs revealed associations with mitochondrial membrane permeability relative to apoptotic pathways. FEA of CC GOs revealed associations with focal adhesion, cell junctions and exosomes. The most significantly enriched annotations in diseases and pathways were lung adenocarcinoma and cell cycle, respectively. Our results suggest that the Hi, MorCa and Psa pathogens could be related to the pathogenesis and/or progression of lung adenocarcinoma via the targeting of the epithelial cellular junctions and the subsequent deregulation of the cell adhesion and apoptotic pathways. These hypotheses should be experimentally validated.

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