Search alternatives:
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
significant degs » significant genes (Expand Search), significant adverse (Expand Search), significant cause (Expand Search)
degs decrease » mean decrease (Expand Search), teer decrease (Expand Search), we decrease (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
significant degs » significant genes (Expand Search), significant adverse (Expand Search), significant cause (Expand Search)
degs decrease » mean decrease (Expand Search), teer decrease (Expand Search), we decrease (Expand Search)
-
201
Image 2_Antifungal mechanism and transcriptome analysis of Bacillomycin D-C16 against Fusarium oxysporum.tif
Published 2025“…Furthermore, nearly all DEGs related to DNA replication were significantly suppressed. …”
-
202
Table 3_Antifungal mechanism and transcriptome analysis of Bacillomycin D-C16 against Fusarium oxysporum.xlsx
Published 2025“…Furthermore, nearly all DEGs related to DNA replication were significantly suppressed. …”
-
203
Table 2_Multi-omics identification and validation of oxidative phosphorylation–related hub genes in schizophrenia.docx
Published 2025“…</p>Results<p>Transcriptomic analysis identified 130 DEGs between schizophrenia and controls, significantly enriched in oxidative phosphorylation and mitochondrial respiration pathways. …”
-
204
Table 2_Antifungal mechanism and transcriptome analysis of Bacillomycin D-C16 against Fusarium oxysporum.docx
Published 2025“…Furthermore, nearly all DEGs related to DNA replication were significantly suppressed. …”
-
205
Table 7_Antifungal mechanism and transcriptome analysis of Bacillomycin D-C16 against Fusarium oxysporum.xlsx
Published 2025“…Furthermore, nearly all DEGs related to DNA replication were significantly suppressed. …”
-
206
Table 1_Multi-omics identification and validation of oxidative phosphorylation–related hub genes in schizophrenia.docx
Published 2025“…</p>Results<p>Transcriptomic analysis identified 130 DEGs between schizophrenia and controls, significantly enriched in oxidative phosphorylation and mitochondrial respiration pathways. …”
-
207
Table 6_Antifungal mechanism and transcriptome analysis of Bacillomycin D-C16 against Fusarium oxysporum.xlsx
Published 2025“…Furthermore, nearly all DEGs related to DNA replication were significantly suppressed. …”
-
208
Table 5_Antifungal mechanism and transcriptome analysis of Bacillomycin D-C16 against Fusarium oxysporum.xlsx
Published 2025“…Furthermore, nearly all DEGs related to DNA replication were significantly suppressed. …”
-
209
Image 1_Antifungal mechanism and transcriptome analysis of Bacillomycin D-C16 against Fusarium oxysporum.tif
Published 2025“…Furthermore, nearly all DEGs related to DNA replication were significantly suppressed. …”
-
210
Data Normalization.
Published 2025“…The GSE73461 dataset, downloaded from the Gene Expression Omnibus (GEO) database, includes 78 KD patients and 55 normal controls collected by Imperial College London from 2015 to 2023, and was analyzed to identify differentially expressed genes (DEGs). Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed significant involvement of these DEGs in acute inflammatory responses, plasma membrane components, PI3K-Akt signaling, and cytokine interactions. …”
-
211
Organize Data.
Published 2025“…The GSE73461 dataset, downloaded from the Gene Expression Omnibus (GEO) database, includes 78 KD patients and 55 normal controls collected by Imperial College London from 2015 to 2023, and was analyzed to identify differentially expressed genes (DEGs). Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed significant involvement of these DEGs in acute inflammatory responses, plasma membrane components, PI3K-Akt signaling, and cytokine interactions. …”
-
212
PCA.
Published 2025“…The GSE73461 dataset, downloaded from the Gene Expression Omnibus (GEO) database, includes 78 KD patients and 55 normal controls collected by Imperial College London from 2015 to 2023, and was analyzed to identify differentially expressed genes (DEGs). Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed significant involvement of these DEGs in acute inflammatory responses, plasma membrane components, PI3K-Akt signaling, and cytokine interactions. …”
-
213
Correlation Heatmap.
Published 2025“…The GSE73461 dataset, downloaded from the Gene Expression Omnibus (GEO) database, includes 78 KD patients and 55 normal controls collected by Imperial College London from 2015 to 2023, and was analyzed to identify differentially expressed genes (DEGs). Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed significant involvement of these DEGs in acute inflammatory responses, plasma membrane components, PI3K-Akt signaling, and cytokine interactions. …”
-
214
Immune Cell Correlation Analysis.
Published 2025“…The GSE73461 dataset, downloaded from the Gene Expression Omnibus (GEO) database, includes 78 KD patients and 55 normal controls collected by Imperial College London from 2015 to 2023, and was analyzed to identify differentially expressed genes (DEGs). Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed significant involvement of these DEGs in acute inflammatory responses, plasma membrane components, PI3K-Akt signaling, and cytokine interactions. …”
-
215
GO Enrichment Analysis.
Published 2025“…The GSE73461 dataset, downloaded from the Gene Expression Omnibus (GEO) database, includes 78 KD patients and 55 normal controls collected by Imperial College London from 2015 to 2023, and was analyzed to identify differentially expressed genes (DEGs). Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed significant involvement of these DEGs in acute inflammatory responses, plasma membrane components, PI3K-Akt signaling, and cytokine interactions. …”
-
216
Differential Analysis.
Published 2025“…The GSE73461 dataset, downloaded from the Gene Expression Omnibus (GEO) database, includes 78 KD patients and 55 normal controls collected by Imperial College London from 2015 to 2023, and was analyzed to identify differentially expressed genes (DEGs). Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed significant involvement of these DEGs in acute inflammatory responses, plasma membrane components, PI3K-Akt signaling, and cytokine interactions. …”
-
217
GO Diagram.
Published 2025“…The GSE73461 dataset, downloaded from the Gene Expression Omnibus (GEO) database, includes 78 KD patients and 55 normal controls collected by Imperial College London from 2015 to 2023, and was analyzed to identify differentially expressed genes (DEGs). Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed significant involvement of these DEGs in acute inflammatory responses, plasma membrane components, PI3K-Akt signaling, and cytokine interactions. …”
-
218
Hub Genes.
Published 2025“…The GSE73461 dataset, downloaded from the Gene Expression Omnibus (GEO) database, includes 78 KD patients and 55 normal controls collected by Imperial College London from 2015 to 2023, and was analyzed to identify differentially expressed genes (DEGs). Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed significant involvement of these DEGs in acute inflammatory responses, plasma membrane components, PI3K-Akt signaling, and cytokine interactions. …”
-
219
PPI.
Published 2025“…The GSE73461 dataset, downloaded from the Gene Expression Omnibus (GEO) database, includes 78 KD patients and 55 normal controls collected by Imperial College London from 2015 to 2023, and was analyzed to identify differentially expressed genes (DEGs). Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed significant involvement of these DEGs in acute inflammatory responses, plasma membrane components, PI3K-Akt signaling, and cytokine interactions. …”
-
220
Download Data.
Published 2025“…The GSE73461 dataset, downloaded from the Gene Expression Omnibus (GEO) database, includes 78 KD patients and 55 normal controls collected by Imperial College London from 2015 to 2023, and was analyzed to identify differentially expressed genes (DEGs). Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed significant involvement of these DEGs in acute inflammatory responses, plasma membrane components, PI3K-Akt signaling, and cytokine interactions. …”