scholarly journals De novo Transcriptome Sequencing Coupled With Co-expression Analysis Reveal the Transcriptional Regulation of Key Genes Involved in the Formation of Active Ingredients in Peucedanum praeruptorum Dunn Under Bolting Period

2021 ◽  
Vol 12 ◽  
Author(s):  
Cheng Song ◽  
Xiaoli Li ◽  
Bin Jia ◽  
Li Liu ◽  
Jinmei Ou ◽  
...  
Keyword(s):  
Circadian Rhythm ◽  
Expression Analysis ◽  
Transcriptome Sequencing ◽  
Expression Patterns ◽  
Differential Expression Analysis ◽  
Phenylpropanoid Pathway ◽  
Mapk Signaling ◽  
Flowering Plant ◽  
Regulation Mechanism ◽  
Key Genes

Peucedanum praeruptorum Dunn is a perennial and one-off flowering plant of the Peucedanum genus in Umbelliferae. The cultivated P. praeruptorum Dunn usually grows nutritionally in the first year and then moves into the reproductive growth in the second year. The lignification of the roots caused by bolting leads to the quality decline of crude materials. Since most of the previous studies have dealt with coumarin biosynthesis and identification of functional genes in P. praeruptorum, the scientific connotation of the inability that the bolted P. praeruptorum cannot be used medically is still unclear. Here, we employed a transcriptome sequencing combined with coexpression analysis to unearth the regulation mechanism of key genes related to coumarin synthesis in pre- and postbolting period, and to explore the mechanisms underlying the effects of bolting on the formation and transport of coumarins between the annual and biennial plants. Six cDNA libraries were constructed, and the transcripts were sequenced and assembled by Illumina Hiseq platform. A total of 336,505 unigenes were obtained from 824,129 non-redundant spliced transcripts. Unigenes (114,488) were annotated to the NCBI nr database, 119,017 and 10,475 unigenes were aligned to Gene Ontology (GO) functional groups and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, respectively. Differential expression analysis screened out a series of upregulated and downregulated genes related to the phenylpropanoid pathway. The heatmap clustering showed that the similar expression patterns were both observed in groups C vs. D and groups C vs. F. The WGCNA-based coexpression was performed to elucidate the module and trait relationship to unearth important genes related to the bolting process. Seven pivotal modules on the KEGG functional annotations suggested these genes were mainly enriched in the process of plant–pathogen interaction, plant hormone signal transduction, MAPK signaling pathway, α-linolenic acid metabolism, circadian rhythm, and phenylpropanoid pathway. Further analysis provided clues that the key genes of the phenylpropanoid pathway, the ABC transporters, the apoptosis-related and circadian rhythm regulatory genes may play pivotal roles in regulating bolting signaling, biosynthesis, and transportation of coumarins.

scholarly journals A comprehensive annotation and differential expression analysis of short and long non-coding RNAs in 16 bat genomes

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Nelly F Mostajo ◽  
Marie Lataretu ◽  
Sebastian Krautwurst ◽  
Florian Mock ◽  
Daniel Desirò ◽  
...  
Keyword(s):  
Gene Expression ◽  
Expression Analysis ◽  
Large Scale ◽  
Viral Infections ◽  
Gene Expression Regulation ◽  
Expression Patterns ◽  
Differential Expression Analysis ◽  
Regulatory Processes ◽  
Genome Annotations ◽  
Host Virus Interactions

Abstract Although bats are increasingly becoming the focus of scientific studies due to their unique properties, these exceptional animals are still among the least studied mammals. Assembly quality and completeness of bat genomes vary a lot and especially non-coding RNA (ncRNA) annotations are incomplete or simply missing. Accordingly, standard bioinformatics pipelines for gene expression analysis often ignore ncRNAs such as microRNAs or long antisense RNAs. The main cause of this problem is the use of incomplete genome annotations. We present a complete screening for ncRNAs within 16 bat genomes. NcRNAs affect a remarkable variety of vital biological functions, including gene expression regulation, RNA processing, RNA interference and, as recently described, regulatory processes in viral infections. Within all investigated bat assemblies, we annotated 667 ncRNA families including 162 snoRNAs and 193 miRNAs as well as rRNAs, tRNAs, several snRNAs and lncRNAs, and other structural ncRNA elements. We validated our ncRNA candidates by six RNA-Seq data sets and show significant expression patterns that have never been described before in a bat species on such a large scale. Our annotations will be usable as a resource (rna.uni-jena.de/supplements/bats) for deeper studying of bat evolution, ncRNAs repertoire, gene expression and regulation, ecology and important host–virus interactions.

Circular RNA expression profiling in dorsal root ganglion of rats with peripheral nerve injury-induced neuropathic pain

2020 ◽  
Author(s):  
Wanxia Xiong ◽  
Fan Liu ◽  
jie wang ◽  
zhiyao wang
Keyword(s):  
Neuropathic Pain ◽  
Differential Expression ◽  
Expression Analysis ◽  
Functional Annotation ◽  
Molecular Mechanisms ◽  
High Throughput Sequencing ◽  
Differential Expression Analysis ◽  
Mapk Signaling ◽  
Circular Rnas ◽  
Next Generation Sequencing Technology

Abstract Background : Circular RNAs (circRNAs) comprise a class of endogenous species of RNA consisting of a covalently closed loop structure that is crucial for genetic and epigenetic regulation. The significance of circRNA in neuropathic pain remains to be investigated. Methods : The sciatic nerve chronic constriction injury (CCI) model was established to induce neuropathic pain. We performed genome-wide circRNA analysis of 4 paired DRG sample from CCI and NC rats via next generation sequencing technology. The differentially expressed circRNAs (DEcircRNAs) were identified by differential expression analysis and the expression profile of circRNAs was validated by quantitative real-time PCR (qPCR). Functional annotation analysis was performed to predict the function of DEcircRNAs. Results : A total of 374 DEcirRNAs were identified between CCI and NC rats using circRNA High-throughput sequencing (HTS). Expression levels of 9 DEcircRNAs were validated by qPCR. Functional annotation analysis showed that DEcircRNAs were mainly enriched in pathways and functions such as ‘dopaminergic synapse’, ‘renin secretion’, ‘MAPK signaling pathway’ and ‘neurogenesis’. Competing endogenous RNAs analysis showed that top 50 circRNAs exhibited interactions with four pain related miRNAs. Circ:chr2:33950934-33955969 is the largest node in the circRNA-miRNA interaction network. Conclusion : DEcircRNAs may advance our understanding of the molecular mechanisms underlying neuropathic pain. Key words : neuropathic pain, circRNA, CCI, differential expression analysis

Expression analysis of key genes of phenylpropanoid pathway and phenol profiling during Ricinus communis–Fusarium oxysporum f. sp. ricini interaction

2013 ◽  
Vol 50 ◽  
pp. 456-461 ◽  
Author(s):  
Pritam R. Jadhav ◽  
Mahesh K. Mahatma ◽  
Lalit Mahatma ◽  
Sanjay Jha ◽  
Vipul B. Parekh ◽  
...  
Keyword(s):  
Fusarium Oxysporum ◽  
Expression Analysis ◽  
Ricinus Communis ◽  
Phenylpropanoid Pathway ◽  
Key Genes

scholarly journals Prognostic value and co-expression patterns of metabolic pathways in cancers

BMC Genomics ◽  
2020 ◽  
Vol 21 (S11) ◽  
Author(s):  
Dan Zhang ◽  
Yan Guo ◽  
Ni Xie
Keyword(s):  
Gene Expression ◽  
Expression Analysis ◽  
Metabolic Pathway ◽  
Metabolic Pathways ◽  
Expression Patterns ◽  
Differential Expression Analysis ◽  
Cancer Prognosis ◽  
Gene Expressions ◽  
Pathway Gene ◽  
Pathway Expression

Abstract Background Abnormal metabolic pathways have been considered as one of the hallmarks of cancer. While numerous metabolic pathways have been studied in various cancers, the direct link between metabolic pathway gene expression and cancer prognosis has not been established. Results Using two recently developed bioinformatics analysis methods, we evaluated the prognosis potential of metabolic pathway expression and tumor-vs-normal dysregulations for up to 29 metabolic pathways in 33 cancer types. Results show that increased metabolic gene expression within tumors corresponds to poor cancer prognosis. Meta differential co-expression analysis identified four metabolic pathways with significant global co-expression network disturbance between tumor and normal samples. Differential expression analysis of metabolic pathways also demonstrated strong gene expression disturbance between paired tumor and normal samples. Conclusion Taken together, these results strongly suggested that metabolic pathway gene expressions are disturbed after tumorigenesis. Within tumors, many metabolic pathways are upregulated for tumor cells to activate corresponding metabolisms to sustain the required energy for cell division.

Cytotoxic Mechanism for Silver Nanoparticles Based High-Content Cellomics and Transcriptome Sequencing

2019 ◽  
Vol 15 (7) ◽  
pp. 1401-1414 ◽  
Author(s):  
Yan Huang ◽  
Xiaoying Lü ◽  
Xiaoqiang Lü
Keyword(s):  
Signaling Pathway ◽  
Focal Adhesion ◽  
Transcriptome Sequencing ◽  
Mapk Signaling ◽  
Mapk Signaling Pathway ◽  
Differentially Expressed ◽  
Atp Content ◽  
Biological Pathway Analysis ◽  
Key Genes ◽  
Cytotoxic Mechanism

The aim of this study was to investigate the toxic mechanism for differently sized silver nanoparticles (SNPs) on human dermal fibroblasts (HDFs), by combining high content cellomics and transcriptome sequencing. First, the influences of five SNPs (SNP-5, SNP-20, SNP-50, SNP-100, and SNP-200) on O–2, focal adhesion, cytoskeleton and ATP content in HDFs were studied with high content screening and colorimetric method, and the role to cytotoxicity was analysed. Transcriptome sequencing technique was then to filter differentially expressed genes induced by SNPs after 4 h treatment. Key pathways in SNP-induced cytotoxicity were also screened via biological pathway analysis. Furthermore, key genes in HDFs after SNP-induced cytotoxicity were determined through matching analysis with previously obtained important microRNAs and their expression levels were verified with qRT-PCR. Cytological experiments showed that the SNP-5 had the strongest effects on O–2, focal adhesion, cytoskeleton and ATP content, while SNP-20 had the smallest effects. Transcriptome sequencing results showed that 3848, 4213, 2999, 3251 and 5104 genes were found to be differentially expressed in HDFs after treatment with five SNPs. Biological pathway analysis for 1643 uniformly differentially expressed genes revealed that MAPK signaling pathway was the key pathway in SNP-induced cytotoxicity. Two key genes, SOS1 and CDC25B, which are involved in MAPK signaling pathway were finally identified through matching analysis with important microRNAs and verification. In conclusion, the cytotoxic mechanism for SNPs induced cytotoxicity in HDFs involved SNPs down-regulated expression of SOS1 and CDC25B through miR-424-5p in the key MAPK signaling pathway, through blocking of cell cycle, promotion of apoptosis, ultimately leading to cytotoxicity.

scholarly journals Co-expression analysis identifies neuro-inflammation as a driver of sensory neuron aging in Aplysia californica

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0252647
Author(s):  
N. S. Kron ◽  
L. A. Fieber
Keyword(s):  
Sensory Neuron ◽  
Expression Analysis ◽  
Expression Patterns ◽  
Differential Expression Analysis ◽  
Aplysia Californica ◽  
Orthologous Genes ◽  
Viral Response ◽  
Gene Correlation ◽  
Neuro Inflammation

Aging of the nervous system is typified by depressed metabolism, compromised proteostasis, and increased inflammation that results in cognitive impairment. Differential expression analysis is a popular technique for exploring the molecular underpinnings of neural aging, but technical drawbacks of the methodology often obscure larger expression patterns. Co-expression analysis offers a robust alternative that allows for identification of networks of genes and their putative central regulators. In an effort to expand upon previous work exploring neural aging in the marine model Aplysia californica, we used weighted gene correlation network analysis to identify co-expression networks in a targeted set of aging sensory neurons in these animals. We identified twelve modules, six of which were strongly positively or negatively associated with aging. Kyoto Encyclopedia of Genes analysis and investigation of central module transcripts identified signatures of metabolic impairment, increased reactive oxygen species, compromised proteostasis, disrupted signaling, and increased inflammation. Although modules with immune character were identified, there was no correlation between genes in Aplysia that increased in expression with aging and the orthologous genes in oyster displaying long-term increases in expression after a virus-like challenge. This suggests anti-viral response is not a driver of Aplysia sensory neuron aging.

scholarly journals A Systematic Comparison of Differential Analysis Methods for CyTOF Data

2021 ◽  
Author(s):  
Lis Arend ◽  
Judith Bernett ◽  
Quirin Manz ◽  
Melissa Klug ◽  
Olga Lazareva ◽  
...  
Keyword(s):  
Differential Expression ◽  
Expression Analysis ◽  
Expression Patterns ◽  
Differential Expression Analysis ◽  
Differential Analysis ◽  
Web Interface ◽  
Analysis Methods ◽  
Shiny App ◽  
R Shiny ◽  
User Friendly

Cytometry techniques are widely used to discover cellular characteristics at single-cell resolution. Many data analysis methods for cytometry data focus solely on identifying subpopulations via clustering and testing for differential cell abundance. For differential expression analysis of markers between conditions, only few tools exist. These tools either reduce the data distribution to medians, discarding valuable information, or have underlying assumptions that may not hold for all expression patterns. Here, we systematically evaluated existing and novel approaches for differential expression analysis on real and simulated CyTOF data. We found that methods using median marker expressions compute fast and reliable results when the data is not strongly zero-inflated. Methods using all data detect changes in strongly zero-inflated markers, but partially suffer from overprediction or cannot handle big datasets. We present a new method, CyEMD, based on calculating the Earth Mover's Distance between expression distributions that can handle strong zero-inflation without being too sensitive. Additionally, we developed CYANUS, a user-friendly R Shiny App allowing the user to analyze cytometry data with state-of-the-art tools, including well-performing methods from our comparison. A public web interface is available at https://exbio.wzw.tum.de/cyanus/.

scholarly journals Genome-wide analysis of chalcone synthase (CHS) family from eggplant (Solanum melongena L.) in flavonoid biosynthetic pathway and expression pattern in response to heat stress

2019 ◽  
Author(s):  
Xuexia Wu ◽  
Dingshi Zha
Keyword(s):  
Heat Stress ◽  
Chalcone Synthase ◽  
Expression Patterns ◽  
Regulatory Elements ◽  
Regulation Mechanism ◽  
Anthocyanin Content ◽  
Genome Wide ◽  
Peel Color ◽  
Solanaceae Species ◽  
Key Genes

Abstract Background Enzymes of chalcone synthase (CHS) family participate in the synthesis of a series of secondary metabolites in plants, fungi and bacteria. Some of these metabolites have a wide variety of biological functions such as flower pigmentation, protection against UV radiation, pathogen defense, auxin transport and pollen fertility. CHS also showed significant correlation to the accumulation patterns of anthocyanin. The peel color mainly determined by the content of anthocyanin, is a majority economic trait for eggplant affected by heat stress. Results A total of 7 CHS ( SmCHS1-7 ) putative genes were identified in genome-wide of eggplant ( S. melongena L . ). The SmCHS genes distribute on 7 scaffolds and were classified into 3 clusters. Phylogenetic relationships analysis showed that 73 CHS genes from 7 Solanaceae species were classified into 10 groups. SmCHS5 , SmCHS6 and SmCHS7 were continuously down-regulated under 38℃ and 45℃ treatment, while SmCHS4 was up-regulated under 38℃ but little change at 45℃ in peel. Expression profiles of anthocyanin biosynthesis key genes families showed that the PAL, 4CL and AN11 genes were mainly expressed in all five tissues. CHI, F3H, F3’5’H, DFR, 3GT and bHLH1 genes were expressed in flower and peel. Under heat stress, 52 key genes expression level were reduced under heat stress. By contrast, expression patterns of eight key genes similar to SmCHS4 up-regulated at the 38℃-3h. Conclusions Comparative analysis of putative CHS protein biochemical characteristics, cis -regulatory elements, regulatory network revealed that SmCHS genes family have conservation gene structure and functional diversification. SmCHS showed two or more expression patterns and execute multiple functions to regulate anthocyanin content. Combined with regulatory networks, it is possible to further understand the regulation mechanism of peel color in eggplant.

Sign in / Sign up

Export Citation Format

Share Document