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Novogene transcriptome analysis (rna-seq)
Overview of the <t>transcriptome</t> analysis outcomes highlighting the carbohydrate metabolism relevant for the BSG fermentation. Analysis of differential gene expression between 24‐h MRS cultivation (equivalent to T0 of the BSG fermentation) and 16‐h ESP + BSG fermentation. (A) The box plot shows the distribution of gene expression levels between BSG and MRS samples (the boxes represent the interquartile range (IQR), the line inside each box shows the median, whiskers extend to 1.5 times the IQR, dots represent outliers, and ‘x’ marks indicate the mean values). (B) The bar chart showing the number of differentially expressed genes between BSG and MRS samples. (C) The dot plot illustrating the overall level of expression of different functional groups of genes involved in carbohydrate metabolism under BSG and MRS conditions (1: maltose phosphorylases, 2: sucrose hydrolases and phosphorylases and fructose bisphosphatases, 3: dTDP‐glucose, phosphoketolase, galactokinase, and G6PDH, 4: sucrose, maltose hydrolases and UTP/UDP‐glucose enzymes, 5: lipopolysacchardie and peptidoglycan biosynthesis, 6: glycosyltransferase family proteins, 7: xylose isomerases and arabinose transporters, 8: isomerases and mutarotase enzymes: glucose, galactose, and phosphate transfer, and 9: PTS system components). (D) The bar chart depicts the fold changes in expression (ESP + BSG T16 vs. MRS 24 h ≈ BSG T0) of selected individual genes encoding the enzymes relevant to the metabolism of carbohydrates as monitored in the BSG fermentations.
Transcriptome Analysis (Rna Seq), supplied by Novogene, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/rna+seq+transcriptome+analysis/transcriptome+analysis/pmc12010140-147-5-11
Average 90 stars, based on 1 article reviews
transcriptome analysis (rna-seq) - by Bioz Stars, 2026-09
90/100 stars

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1) Product Images from "Regulation of Sugar Metabolism During Fermentation of Brewers' Spent Grain by Leuconostoc pseudomesenteroides DSM20193"

Article Title: Regulation of Sugar Metabolism During Fermentation of Brewers' Spent Grain by Leuconostoc pseudomesenteroides DSM20193

Journal: Microbial Biotechnology

doi: 10.1111/1751-7915.70116

Overview of the transcriptome analysis outcomes highlighting the carbohydrate metabolism relevant for the BSG fermentation. Analysis of differential gene expression between 24‐h MRS cultivation (equivalent to T0 of the BSG fermentation) and 16‐h ESP + BSG fermentation. (A) The box plot shows the distribution of gene expression levels between BSG and MRS samples (the boxes represent the interquartile range (IQR), the line inside each box shows the median, whiskers extend to 1.5 times the IQR, dots represent outliers, and ‘x’ marks indicate the mean values). (B) The bar chart showing the number of differentially expressed genes between BSG and MRS samples. (C) The dot plot illustrating the overall level of expression of different functional groups of genes involved in carbohydrate metabolism under BSG and MRS conditions (1: maltose phosphorylases, 2: sucrose hydrolases and phosphorylases and fructose bisphosphatases, 3: dTDP‐glucose, phosphoketolase, galactokinase, and G6PDH, 4: sucrose, maltose hydrolases and UTP/UDP‐glucose enzymes, 5: lipopolysacchardie and peptidoglycan biosynthesis, 6: glycosyltransferase family proteins, 7: xylose isomerases and arabinose transporters, 8: isomerases and mutarotase enzymes: glucose, galactose, and phosphate transfer, and 9: PTS system components). (D) The bar chart depicts the fold changes in expression (ESP + BSG T16 vs. MRS 24 h ≈ BSG T0) of selected individual genes encoding the enzymes relevant to the metabolism of carbohydrates as monitored in the BSG fermentations.
Figure Legend Snippet: Overview of the transcriptome analysis outcomes highlighting the carbohydrate metabolism relevant for the BSG fermentation. Analysis of differential gene expression between 24‐h MRS cultivation (equivalent to T0 of the BSG fermentation) and 16‐h ESP + BSG fermentation. (A) The box plot shows the distribution of gene expression levels between BSG and MRS samples (the boxes represent the interquartile range (IQR), the line inside each box shows the median, whiskers extend to 1.5 times the IQR, dots represent outliers, and ‘x’ marks indicate the mean values). (B) The bar chart showing the number of differentially expressed genes between BSG and MRS samples. (C) The dot plot illustrating the overall level of expression of different functional groups of genes involved in carbohydrate metabolism under BSG and MRS conditions (1: maltose phosphorylases, 2: sucrose hydrolases and phosphorylases and fructose bisphosphatases, 3: dTDP‐glucose, phosphoketolase, galactokinase, and G6PDH, 4: sucrose, maltose hydrolases and UTP/UDP‐glucose enzymes, 5: lipopolysacchardie and peptidoglycan biosynthesis, 6: glycosyltransferase family proteins, 7: xylose isomerases and arabinose transporters, 8: isomerases and mutarotase enzymes: glucose, galactose, and phosphate transfer, and 9: PTS system components). (D) The bar chart depicts the fold changes in expression (ESP + BSG T16 vs. MRS 24 h ≈ BSG T0) of selected individual genes encoding the enzymes relevant to the metabolism of carbohydrates as monitored in the BSG fermentations.

Techniques Used: Gene Expression, Expressing, Functional Assay

Related Articles

Centrifugation:

Article Title: Regulation of the sRNA ncBCG427 on mycobacterial stress adaptation.
Article Snippet: 1 National Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China 2 College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China 3 Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China 4 National Professional Laboratory for Animal Tuberculosis (Wuhan) of Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan, China 5 International Research Center for Animal Disease, Ministry of Science and Technology, Huazhong Agricultural University, Wuhan, China 6 Key State Laboratory of Agricultural Microbiology, Huazhong Agricultural University, No. 1 Shizishan Road, Wuhan City, Hubei Province 430070, China Abstract Background Mycobacterium tuberculosis complex (MTBC) comprises the primary pathogens responsible for tuberculosis in humans and animals, including the virulent Mycobacterium tuberculosis (M. tb) and Mycobacterium bovis (M. bovis).. As a group of intracellular bacteria, MTBC has developed intricate mechanisms for infection and survival within host cells.. Among these mechanisms, small non-coding RNAs (sRNAs) play essential roles in regulating post-transcriptional pathways that may aid in stress adaptation in mycobacteria.

Bacteria:

Article Title: Regulation of the sRNA ncBCG427 on mycobacterial stress adaptation.
Article Snippet: 1 National Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China 2 College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China 3 Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China 4 National Professional Laboratory for Animal Tuberculosis (Wuhan) of Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan, China 5 International Research Center for Animal Disease, Ministry of Science and Technology, Huazhong Agricultural University, Wuhan, China 6 Key State Laboratory of Agricultural Microbiology, Huazhong Agricultural University, No. 1 Shizishan Road, Wuhan City, Hubei Province 430070, China Abstract Background Mycobacterium tuberculosis complex (MTBC) comprises the primary pathogens responsible for tuberculosis in humans and animals, including the virulent Mycobacterium tuberculosis (M. tb) and Mycobacterium bovis (M. bovis).. As a group of intracellular bacteria, MTBC has developed intricate mechanisms for infection and survival within host cells.. Among these mechanisms, small non-coding RNAs (sRNAs) play essential roles in regulating post-transcriptional pathways that may aid in stress adaptation in mycobacteria.

Incubation:

Article Title: Regulation of the sRNA ncBCG427 on mycobacterial stress adaptation.
Article Snippet: 1 National Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, China 2 College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China 3 Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China 4 National Professional Laboratory for Animal Tuberculosis (Wuhan) of Ministry of Agriculture and Rural Affairs, Huazhong Agricultural University, Wuhan, China 5 International Research Center for Animal Disease, Ministry of Science and Technology, Huazhong Agricultural University, Wuhan, China 6 Key State Laboratory of Agricultural Microbiology, Huazhong Agricultural University, No. 1 Shizishan Road, Wuhan City, Hubei Province 430070, China Abstract Background Mycobacterium tuberculosis complex (MTBC) comprises the primary pathogens responsible for tuberculosis in humans and animals, including the virulent Mycobacterium tuberculosis (M. tb) and Mycobacterium bovis (M. bovis).. As a group of intracellular bacteria, MTBC has developed intricate mechanisms for infection and survival within host cells.. Among these mechanisms, small non-coding RNAs (sRNAs) play essential roles in regulating post-transcriptional pathways that may aid in stress adaptation in mycobacteria.

Sequencing:

Article Title: QTL mapping and KASP Marker Development for Powdery Mildew Resistance in Watermelon
Article Snippet: Powdery mildew, caused by Podosphaera xanthii, poses a significant threat to watermelon (Citrullus lanatus) cultivation.. Development of resistant cultivars is one of the best strategies to manage powdery mildew.. To elucidate the genetic basis of resistance, bulked segregant analysis (BSA) was conducted on an F2 population derived from a cross between resistant (USVL608PMR) and susceptible (USVL677-PMS) genotypes.



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Overview of the <t>transcriptome</t> analysis outcomes highlighting the carbohydrate metabolism relevant for the BSG fermentation. Analysis of differential gene expression between 24‐h MRS cultivation (equivalent to T0 of the BSG fermentation) and 16‐h ESP + BSG fermentation. (A) The box plot shows the distribution of gene expression levels between BSG and MRS samples (the boxes represent the interquartile range (IQR), the line inside each box shows the median, whiskers extend to 1.5 times the IQR, dots represent outliers, and ‘x’ marks indicate the mean values). (B) The bar chart showing the number of differentially expressed genes between BSG and MRS samples. (C) The dot plot illustrating the overall level of expression of different functional groups of genes involved in carbohydrate metabolism under BSG and MRS conditions (1: maltose phosphorylases, 2: sucrose hydrolases and phosphorylases and fructose bisphosphatases, 3: dTDP‐glucose, phosphoketolase, galactokinase, and G6PDH, 4: sucrose, maltose hydrolases and UTP/UDP‐glucose enzymes, 5: lipopolysacchardie and peptidoglycan biosynthesis, 6: glycosyltransferase family proteins, 7: xylose isomerases and arabinose transporters, 8: isomerases and mutarotase enzymes: glucose, galactose, and phosphate transfer, and 9: PTS system components). (D) The bar chart depicts the fold changes in expression (ESP + BSG T16 vs. MRS 24 h ≈ BSG T0) of selected individual genes encoding the enzymes relevant to the metabolism of carbohydrates as monitored in the BSG fermentations.
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Overview of the <t>transcriptome</t> analysis outcomes highlighting the carbohydrate metabolism relevant for the BSG fermentation. Analysis of differential gene expression between 24‐h MRS cultivation (equivalent to T0 of the BSG fermentation) and 16‐h ESP + BSG fermentation. (A) The box plot shows the distribution of gene expression levels between BSG and MRS samples (the boxes represent the interquartile range (IQR), the line inside each box shows the median, whiskers extend to 1.5 times the IQR, dots represent outliers, and ‘x’ marks indicate the mean values). (B) The bar chart showing the number of differentially expressed genes between BSG and MRS samples. (C) The dot plot illustrating the overall level of expression of different functional groups of genes involved in carbohydrate metabolism under BSG and MRS conditions (1: maltose phosphorylases, 2: sucrose hydrolases and phosphorylases and fructose bisphosphatases, 3: dTDP‐glucose, phosphoketolase, galactokinase, and G6PDH, 4: sucrose, maltose hydrolases and UTP/UDP‐glucose enzymes, 5: lipopolysacchardie and peptidoglycan biosynthesis, 6: glycosyltransferase family proteins, 7: xylose isomerases and arabinose transporters, 8: isomerases and mutarotase enzymes: glucose, galactose, and phosphate transfer, and 9: PTS system components). (D) The bar chart depicts the fold changes in expression (ESP + BSG T16 vs. MRS 24 h ≈ BSG T0) of selected individual genes encoding the enzymes relevant to the metabolism of carbohydrates as monitored in the BSG fermentations.
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Overview of the <t>transcriptome</t> analysis outcomes highlighting the carbohydrate metabolism relevant for the BSG fermentation. Analysis of differential gene expression between 24‐h MRS cultivation (equivalent to T0 of the BSG fermentation) and 16‐h ESP + BSG fermentation. (A) The box plot shows the distribution of gene expression levels between BSG and MRS samples (the boxes represent the interquartile range (IQR), the line inside each box shows the median, whiskers extend to 1.5 times the IQR, dots represent outliers, and ‘x’ marks indicate the mean values). (B) The bar chart showing the number of differentially expressed genes between BSG and MRS samples. (C) The dot plot illustrating the overall level of expression of different functional groups of genes involved in carbohydrate metabolism under BSG and MRS conditions (1: maltose phosphorylases, 2: sucrose hydrolases and phosphorylases and fructose bisphosphatases, 3: dTDP‐glucose, phosphoketolase, galactokinase, and G6PDH, 4: sucrose, maltose hydrolases and UTP/UDP‐glucose enzymes, 5: lipopolysacchardie and peptidoglycan biosynthesis, 6: glycosyltransferase family proteins, 7: xylose isomerases and arabinose transporters, 8: isomerases and mutarotase enzymes: glucose, galactose, and phosphate transfer, and 9: PTS system components). (D) The bar chart depicts the fold changes in expression (ESP + BSG T16 vs. MRS 24 h ≈ BSG T0) of selected individual genes encoding the enzymes relevant to the metabolism of carbohydrates as monitored in the BSG fermentations.
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Image Search Results


Overview of the transcriptome analysis outcomes highlighting the carbohydrate metabolism relevant for the BSG fermentation. Analysis of differential gene expression between 24‐h MRS cultivation (equivalent to T0 of the BSG fermentation) and 16‐h ESP + BSG fermentation. (A) The box plot shows the distribution of gene expression levels between BSG and MRS samples (the boxes represent the interquartile range (IQR), the line inside each box shows the median, whiskers extend to 1.5 times the IQR, dots represent outliers, and ‘x’ marks indicate the mean values). (B) The bar chart showing the number of differentially expressed genes between BSG and MRS samples. (C) The dot plot illustrating the overall level of expression of different functional groups of genes involved in carbohydrate metabolism under BSG and MRS conditions (1: maltose phosphorylases, 2: sucrose hydrolases and phosphorylases and fructose bisphosphatases, 3: dTDP‐glucose, phosphoketolase, galactokinase, and G6PDH, 4: sucrose, maltose hydrolases and UTP/UDP‐glucose enzymes, 5: lipopolysacchardie and peptidoglycan biosynthesis, 6: glycosyltransferase family proteins, 7: xylose isomerases and arabinose transporters, 8: isomerases and mutarotase enzymes: glucose, galactose, and phosphate transfer, and 9: PTS system components). (D) The bar chart depicts the fold changes in expression (ESP + BSG T16 vs. MRS 24 h ≈ BSG T0) of selected individual genes encoding the enzymes relevant to the metabolism of carbohydrates as monitored in the BSG fermentations.

Journal: Microbial Biotechnology

Article Title: Regulation of Sugar Metabolism During Fermentation of Brewers' Spent Grain by Leuconostoc pseudomesenteroides DSM20193

doi: 10.1111/1751-7915.70116

Figure Lengend Snippet: Overview of the transcriptome analysis outcomes highlighting the carbohydrate metabolism relevant for the BSG fermentation. Analysis of differential gene expression between 24‐h MRS cultivation (equivalent to T0 of the BSG fermentation) and 16‐h ESP + BSG fermentation. (A) The box plot shows the distribution of gene expression levels between BSG and MRS samples (the boxes represent the interquartile range (IQR), the line inside each box shows the median, whiskers extend to 1.5 times the IQR, dots represent outliers, and ‘x’ marks indicate the mean values). (B) The bar chart showing the number of differentially expressed genes between BSG and MRS samples. (C) The dot plot illustrating the overall level of expression of different functional groups of genes involved in carbohydrate metabolism under BSG and MRS conditions (1: maltose phosphorylases, 2: sucrose hydrolases and phosphorylases and fructose bisphosphatases, 3: dTDP‐glucose, phosphoketolase, galactokinase, and G6PDH, 4: sucrose, maltose hydrolases and UTP/UDP‐glucose enzymes, 5: lipopolysacchardie and peptidoglycan biosynthesis, 6: glycosyltransferase family proteins, 7: xylose isomerases and arabinose transporters, 8: isomerases and mutarotase enzymes: glucose, galactose, and phosphate transfer, and 9: PTS system components). (D) The bar chart depicts the fold changes in expression (ESP + BSG T16 vs. MRS 24 h ≈ BSG T0) of selected individual genes encoding the enzymes relevant to the metabolism of carbohydrates as monitored in the BSG fermentations.

Article Snippet: The statistical analysis for the transcriptome analysis (RNA‐seq) was performed at Novogene (Table ).

Techniques: Gene Expression, Expressing, Functional Assay