« Home « Kết quả tìm kiếm

Weighted gene co-expression network analysis

Tìm thấy 18+ kết quả cho từ khóa "Weighted gene co-expression network analysis"

Identification of co-expression network correlated with different periods of adipogenic and osteogenic differentiation of BMSCs by weighted gene co-expression network analysis (WGCNA)

tailieu.vn

adipogenic and osteogenic differentiation of BMSCs by weighted gene co-expression network analysis (WGCNA). Background: The differentiation of bone marrow mesenchymal stem cells is a complex and dynamic process. The gene expression pattern and mechanism of different periods of adipogenic and osteogenic differentiation remain unclear.

Gene co-expression network analysis reveals key pathways and hub genes in Chinese cabbage (Brassica rapa L.) during vernalization

tailieu.vn

Comparative transcriptome analysis and weighted gene co-expression network analysis (WGCNA) were performed for different-bolting Chinese cabbage during different vernalization periods. and leaf senescence and carbohydrate metabolism enrichment were found in the two Chinese cabbage-related modules, indicating that these pathways may be related to bolting and flowering. PAO and NAC029 (plays a role in leaf senescence), were expressed in the two Chinese cabbage accessions..

Identification of key genes and regulators associated with carotenoid metabolism in apricot (Prunus armeniaca) fruit using weighted gene coexpression network analysis

tailieu.vn

Weighted gene coexpression network analysis (WGCNA) showed that two of the 13 identified modules. blue ’ and ‘ turquoise. Based on deciphering the molecular mechanism involved in ripening, a network model of carotenoid metabolism in apricot fruit was proposed.. 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0.

TeaCoN: A database of gene co-expression network for tea plant (Camellia sinensis)

tailieu.vn

ChlamyNET: a Chlamydomonas gene co-expression network reveals global properties of the transcriptome and the early setup of key co-expression patterns in the green lineage. ChlamyNET: aChlamydomonasgene co-expression network reveals global properties of the transcriptome and the early setup of key co-expression patterns in the green lineage. A general framework for weighted gene co-expression network analysis.

Integrative expression network analysis of microRNA and gene isoforms in sacred lotus

tailieu.vn

A general framework for weighted gene co-expression network analysis

Gene coexpression network analysis and tissue-specific profiling of gene expression in jute (Corchorus capsularis L.)

tailieu.vn

Gene coexpression network analysis and tissue-specific profiling of gene expression in jute ( Corchorus capsularis L.). Some of the genes, such as OMO55970.1, OMO51203.1, OMO50871.1, and OMO87663.1, directly involved in the development of stem bast tissue.. Conclusion: We identified genes that were differentially expressed between tissues of the same developmental stage.

Weighted gene co-expression network analysis unveils gene networks associated with the Fusarium head blight resistance in tetraploid wheat

tailieu.vn

Candidate defense genes of the five gene co- expression networks (modules) significantly correlated with Type II FHB resistance.. R: A doubled haploid lines of the Strongfield/Blackbird population with transgressive FHB. S: A doubled haploid lines of the Strongfield/Blackbird population with transgressive FHB susceptibility. Funding bodies had no role in the design of the study, collection, analysis, and interpretation of data and in writing the manuscript..

Integrating RNA-Seq with GWAS reveals novel insights into the molecular mechanism underpinning ketosis in cattle

tailieu.vn

Application of weighted gene co-expression network Analysis for data from paired design.. Gene co-expression networks in liver and muscle transcriptome reveal sex-specific gene expression in lambs fed with a mix of essential oils. Weighted Gene Correlation Network Meta-Analysis Reveals Functional Candidate Genes Associated with High- and Sub-Fertile Reproductive Performance in Beef Cattle.

Comparative transcriptome analysis of male and female flowers in Spinacia oleracea L

tailieu.vn

Co-expression networks of female and male flower We performed weighted gene co-expression network analysis (WGCNA) to construct a potential regulatory network of sex differentiation in spinach. The expression pattern of each Table 1 List of sex-biased genes residing in 18.4 Mb of sex-linked region in spinach.

Dynamics of rumen gene expression, microbiome colonization, and their interplay in goats

tailieu.vn

To provide a clearer picture of gene expression dy- namic patterns and gene interaction relationships in the rumen, a weighted gene co-expression network analysis (WGCNA) was performed on the identified DEGs above.. 1 Developmental dynamics revealed by the rumen transcriptome.

Transcriptome analysis reveals Vernalization is independent of cold acclimation in Arabidopsis

tailieu.vn

Transcriptome analysis reveals Vernalization is independent of cold acclimation in. Results: Time-lag initiation of the two pathways and weighted gene co-expression network analysis (WGCNA) revealed that vernalization is independent of cold acclimation. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/..

Characterizing glycosyltransferases by a combination of sequencing platforms applied to the leaf tissues of Stevia rebaudiana

tailieu.vn

With further insight into glycosyltransferases (SrUGTs) involved in SG biosynthesis, the weighted gene co-expression network analysis (WGCN A) method was used to characterize the relationships between SrUGTs and SGs, and forty-four potential SrUGTs were finally obtained, including SrUGT85C2, SrUGT74G1, SrUGT76G1 and SrUGT91D2, which have already been reported to be involved in the glucosylation of steviol glycosides, illustrating the reliability of our results.. rebaudiana and forty-four candidate

Transcriptome-IPMS analysis reveals a tissue-dependent miR156/SPL13 regulatory mechanism in alfalfa drought tolerance

tailieu.vn

To understand the gene co-expression pattern upon drought stress across tissues and genotypes, exon read- counts from both genotypes and all tissues were subjected to weighted gene co-expression network analysis (WGCN A) (Fig. Of the 5908 DEG present between drought-stressed SPL13RNAi and EV leaf tissues, 47% of the genes were significantly increased and were leaf-specific in SPL13RNAi plants (Fig.

Multi-omics sequencing provides insight into floral transition in Catalpa bungei. C.A. Mey

tailieu.vn

A total of 61 hub genes were associated with floral transition in the MEturquoise model with Weighted Gene Co-expression Network Analysis (WGCNA).

De novo transcriptome in roots of switchgrass (Panicum virgatum L.) reveals gene expression dynamic and act network under alkaline salt stress

tailieu.vn

Weighted Gene Coexpression Network Analysis (WGCNA) of DEGs in response to alkaline salt stress.

Exposure to hypoxia causes stress erythropoiesis and downregulates immune response genes in spleen of mice

tailieu.vn

Weighted gene co-expression network analysis (WGNCA) To perform unsigned WGCNA analysis, we used the R WGCNA package (https://cran.r-project.org/package=. ggplot2 ” (https://github.com/tidyverse/ggplot2) [79. ggsci ” (https://CRAN.R-project.org/package=ggsci),. “ggpubr” (https://cran.r-project.org/web/packages/ggpubr/. ggsignif ” (https://CRAN.R-project.org/. package=ggsignif), and “ Pheatmap ” (https://cran.r-project.. org/10.1186/s x.. (b) Validation of the transcriptome data by qRT-PCR.

A comprehensive RNA-Seq-based gene expression atlas of the summer squash (Cucurbita pepo) provides insights into fruit morphology and ripening mechanisms

tailieu.vn

Transcription factors involved in the genetic control of flower development, such as the PISTILLATA genes (Cp4.1LG02g03120 and. 4 a Hierarchical clustering of eigengenes of the co-expressed gene clusters found by weighted gene coexpression network analysis. b Heatmap of the relationship among gene clusters (measured as the eigenge adjacency). Cp4.1LG06g06100), were upregulated in flowers and less expressed in the three earliest fruit stages..

De novo sequencing of the transcriptome reveals regulators of the floral transition in Fargesia macclureana (Poaceae)

tailieu.vn

Weighted gene co-expression network analysis (WGCNA) of all unigenes identified in the transcriptome of F.. F-branchlets: Branchlets of the flowering plants. F- leaves: Leaves of the flowering plants. I-spikelets: Inflorescences in the initial flower stage. NF-branchlets: Branchlets of the non- flowering plants. NF-leaves: Leaves of the non-flowering plants.

GWAS and co-expression network combination uncovers multigenes with close linkage effects on the oleic acid content accumulation in Brassica napus

tailieu.vn

Then, we performed GO pathway analysis to uncover genes co-expressed with BnMTACP2-A02, BnABCI13-A02 and BnECI1-A02 in the A02_Hap region and BnFAD8-C02 and BnSDP1-C02 in the C02_Hap re- gion. These three candidate genes showed close correla- tions in the co-expression network (Fig. Hap region were interrelated with co-expression net- work genes that affected oleic acid content accumulation in rapeseed..

Transcriptome analysis reveals mechanism of early ripening in Kyoho grape with hydrogen peroxide treatment

tailieu.vn

In this study, weighted gene co-expression network ana- lysis (WGCNA) was conducted on the transcriptomic data sets from Kyoho berries in the H 2 O 2 treatment.. map of the gene co-expression network. In the figure, the left and top measurements are the results of the gene system cluster tree and the gene network/module ana- lyses, respectively.