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Novogene bulk rna sequencing rna seq
<t>Bulk</t> <t>RNA-seq</t> of human DPSCs from male and female donors. (A) Principal component analysis of rlog-normalized counts for the top 500 most variable genes with concentration eclipses showing within-group dispersion. Each point represents one donor. (B) Pairwise sample–sample correlation matrix between male (M) and female (F) DPSCs. Colors show Pearson correlation coefficients. (C) Unsupervised hierarchical clustering heatmap of all expressed genes using Euclidean distance and complete linkage. (D) Summary of differentially expressed genes (DEGs) in male DPSCs compared to female DPSCs. Outer circles show totals at adjusted p value < 0.05, and inner circles show the subset with |log 2 FC| > 1. (E) MA plot showing sex-biased gene expression in DPSCs. Statistically significant DEGs (adjusted p < 0.05) are marked in green, blue, and red for autosomal, X-linked, and Y-linked genes, respectively. (F) Volcano plot of RNA-seq data with represented genes labelled.
Bulk Rna Sequencing Rna Seq, supplied by Novogene, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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1) Product Images from "Sex as a biological variable in human dental pulp stem cells: An exploratory epigenomic and transcriptomic comparison"

Article Title: Sex as a biological variable in human dental pulp stem cells: An exploratory epigenomic and transcriptomic comparison

Journal: Regenerative Therapy

doi: 10.1016/j.reth.2026.101117

Bulk RNA-seq of human DPSCs from male and female donors. (A) Principal component analysis of rlog-normalized counts for the top 500 most variable genes with concentration eclipses showing within-group dispersion. Each point represents one donor. (B) Pairwise sample–sample correlation matrix between male (M) and female (F) DPSCs. Colors show Pearson correlation coefficients. (C) Unsupervised hierarchical clustering heatmap of all expressed genes using Euclidean distance and complete linkage. (D) Summary of differentially expressed genes (DEGs) in male DPSCs compared to female DPSCs. Outer circles show totals at adjusted p value < 0.05, and inner circles show the subset with |log 2 FC| > 1. (E) MA plot showing sex-biased gene expression in DPSCs. Statistically significant DEGs (adjusted p < 0.05) are marked in green, blue, and red for autosomal, X-linked, and Y-linked genes, respectively. (F) Volcano plot of RNA-seq data with represented genes labelled.
Figure Legend Snippet: Bulk RNA-seq of human DPSCs from male and female donors. (A) Principal component analysis of rlog-normalized counts for the top 500 most variable genes with concentration eclipses showing within-group dispersion. Each point represents one donor. (B) Pairwise sample–sample correlation matrix between male (M) and female (F) DPSCs. Colors show Pearson correlation coefficients. (C) Unsupervised hierarchical clustering heatmap of all expressed genes using Euclidean distance and complete linkage. (D) Summary of differentially expressed genes (DEGs) in male DPSCs compared to female DPSCs. Outer circles show totals at adjusted p value < 0.05, and inner circles show the subset with |log 2 FC| > 1. (E) MA plot showing sex-biased gene expression in DPSCs. Statistically significant DEGs (adjusted p < 0.05) are marked in green, blue, and red for autosomal, X-linked, and Y-linked genes, respectively. (F) Volcano plot of RNA-seq data with represented genes labelled.

Techniques Used: RNA Sequencing, Concentration Assay, Dispersion, Gene Expression



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Novogene bulk rna sequencing rna seq
<t>Bulk</t> <t>RNA-seq</t> of human DPSCs from male and female donors. (A) Principal component analysis of rlog-normalized counts for the top 500 most variable genes with concentration eclipses showing within-group dispersion. Each point represents one donor. (B) Pairwise sample–sample correlation matrix between male (M) and female (F) DPSCs. Colors show Pearson correlation coefficients. (C) Unsupervised hierarchical clustering heatmap of all expressed genes using Euclidean distance and complete linkage. (D) Summary of differentially expressed genes (DEGs) in male DPSCs compared to female DPSCs. Outer circles show totals at adjusted p value < 0.05, and inner circles show the subset with |log 2 FC| > 1. (E) MA plot showing sex-biased gene expression in DPSCs. Statistically significant DEGs (adjusted p < 0.05) are marked in green, blue, and red for autosomal, X-linked, and Y-linked genes, respectively. (F) Volcano plot of RNA-seq data with represented genes labelled.
Bulk Rna Sequencing Rna Seq, supplied by Novogene, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/bulk rna sequencing rna seq/product/Novogene
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bulk rna sequencing rna seq - by Bioz Stars, 2026-06
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<t>Bulk</t> <t>RNA-seq</t> of human DPSCs from male and female donors. (A) Principal component analysis of rlog-normalized counts for the top 500 most variable genes with concentration eclipses showing within-group dispersion. Each point represents one donor. (B) Pairwise sample–sample correlation matrix between male (M) and female (F) DPSCs. Colors show Pearson correlation coefficients. (C) Unsupervised hierarchical clustering heatmap of all expressed genes using Euclidean distance and complete linkage. (D) Summary of differentially expressed genes (DEGs) in male DPSCs compared to female DPSCs. Outer circles show totals at adjusted p value < 0.05, and inner circles show the subset with |log 2 FC| > 1. (E) MA plot showing sex-biased gene expression in DPSCs. Statistically significant DEGs (adjusted p < 0.05) are marked in green, blue, and red for autosomal, X-linked, and Y-linked genes, respectively. (F) Volcano plot of RNA-seq data with represented genes labelled.
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<t>Bulk</t> <t>RNA-seq</t> of human DPSCs from male and female donors. (A) Principal component analysis of rlog-normalized counts for the top 500 most variable genes with concentration eclipses showing within-group dispersion. Each point represents one donor. (B) Pairwise sample–sample correlation matrix between male (M) and female (F) DPSCs. Colors show Pearson correlation coefficients. (C) Unsupervised hierarchical clustering heatmap of all expressed genes using Euclidean distance and complete linkage. (D) Summary of differentially expressed genes (DEGs) in male DPSCs compared to female DPSCs. Outer circles show totals at adjusted p value < 0.05, and inner circles show the subset with |log 2 FC| > 1. (E) MA plot showing sex-biased gene expression in DPSCs. Statistically significant DEGs (adjusted p < 0.05) are marked in green, blue, and red for autosomal, X-linked, and Y-linked genes, respectively. (F) Volcano plot of RNA-seq data with represented genes labelled.
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<t>Bulk</t> <t>RNA-seq</t> of human DPSCs from male and female donors. (A) Principal component analysis of rlog-normalized counts for the top 500 most variable genes with concentration eclipses showing within-group dispersion. Each point represents one donor. (B) Pairwise sample–sample correlation matrix between male (M) and female (F) DPSCs. Colors show Pearson correlation coefficients. (C) Unsupervised hierarchical clustering heatmap of all expressed genes using Euclidean distance and complete linkage. (D) Summary of differentially expressed genes (DEGs) in male DPSCs compared to female DPSCs. Outer circles show totals at adjusted p value < 0.05, and inner circles show the subset with |log 2 FC| > 1. (E) MA plot showing sex-biased gene expression in DPSCs. Statistically significant DEGs (adjusted p < 0.05) are marked in green, blue, and red for autosomal, X-linked, and Y-linked genes, respectively. (F) Volcano plot of RNA-seq data with represented genes labelled.
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Overview of gene expression of aGPCRs across human cell types obtained by single-cell <t>RNA</t> <t>sequencing</t> data from solid tissues and bulk RNA sequencing data from sorted blood collected by the Human Protein Atlas (HPA) consortium. Note that (1) cell types are grouped primarily by function, not by tissue, (2) ubiquitous cell types, such as endothelial cells lining vessels, appear only once, although present in many tissues, (3) organs contain various cell types and can appear in multiple categories (eg, liver: hepatocytes and cholangiocytes under “specialized epithelial cells” and Kupffer cells under “immune cells”), (4) hard-to-isolate cells, such as osteocytes and chondrocytes, are not covered in this list, (5) enucleated cells/cell fragments, like red blood cells and platelets, are not included, although they may express aGPCRs, and (6) data represent healthy adult tissues. Normalized transcripts per million (nTPM) values represent the number of transcripts detected for a given gene. The size of the dot depends on the nTPM value (cutoff value of ≥ 4). Each data point represents gene expression and does not distinguish between transcript variants. ADGRE4 , and ADGRF2 are currently considered as pseudogenes in humans; however, transcripts originating from both loci have been reported. See and .
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FWE KO dysregulates cornification and lamellar body–related gene expression in cSCC xenografts. ( a ) Volcano plot representing differential expression analysis of bulk <t>RNA</t> <t>sequencing</t> of hFWE WT (n = 12) and KO (n = 11) SCC-13 xenografts. Genes implicated in lamellar body function or cornification are annotated. ( b ) GO:BP and GO:CC analysis on differentially downregulated genes in hFWE- KO SCC-13 xenografts. ( c ) Representative immunofluorescence for KLK5 in hFWE WT and KO SCC-13 xenografts (bar = 500 μm and 50 μm [inset]). ( d ) Quantification of percentage tumor area KLK5 positive (mean ± SEM) in hFWE WT and KO SCC-13 xenografts (n = 6, 2-tailed unpaired t -test, ∗∗ P < .01). cSCC, cutaneous squamous cell carcinoma; GO:BP, gene ontology biological process; GO:CC; gene ontology cellular component; KO, knockout; WT, wild-type.
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Image Search Results


Bulk RNA-seq of human DPSCs from male and female donors. (A) Principal component analysis of rlog-normalized counts for the top 500 most variable genes with concentration eclipses showing within-group dispersion. Each point represents one donor. (B) Pairwise sample–sample correlation matrix between male (M) and female (F) DPSCs. Colors show Pearson correlation coefficients. (C) Unsupervised hierarchical clustering heatmap of all expressed genes using Euclidean distance and complete linkage. (D) Summary of differentially expressed genes (DEGs) in male DPSCs compared to female DPSCs. Outer circles show totals at adjusted p value < 0.05, and inner circles show the subset with |log 2 FC| > 1. (E) MA plot showing sex-biased gene expression in DPSCs. Statistically significant DEGs (adjusted p < 0.05) are marked in green, blue, and red for autosomal, X-linked, and Y-linked genes, respectively. (F) Volcano plot of RNA-seq data with represented genes labelled.

Journal: Regenerative Therapy

Article Title: Sex as a biological variable in human dental pulp stem cells: An exploratory epigenomic and transcriptomic comparison

doi: 10.1016/j.reth.2026.101117

Figure Lengend Snippet: Bulk RNA-seq of human DPSCs from male and female donors. (A) Principal component analysis of rlog-normalized counts for the top 500 most variable genes with concentration eclipses showing within-group dispersion. Each point represents one donor. (B) Pairwise sample–sample correlation matrix between male (M) and female (F) DPSCs. Colors show Pearson correlation coefficients. (C) Unsupervised hierarchical clustering heatmap of all expressed genes using Euclidean distance and complete linkage. (D) Summary of differentially expressed genes (DEGs) in male DPSCs compared to female DPSCs. Outer circles show totals at adjusted p value < 0.05, and inner circles show the subset with |log 2 FC| > 1. (E) MA plot showing sex-biased gene expression in DPSCs. Statistically significant DEGs (adjusted p < 0.05) are marked in green, blue, and red for autosomal, X-linked, and Y-linked genes, respectively. (F) Volcano plot of RNA-seq data with represented genes labelled.

Article Snippet: Bulk RNA sequencing (RNA-seq) was performed by Novogene Ltd. (Cambridge, UK).

Techniques: RNA Sequencing, Concentration Assay, Dispersion, Gene Expression

Overview of gene expression of aGPCRs across human cell types obtained by single-cell RNA sequencing data from solid tissues and bulk RNA sequencing data from sorted blood collected by the Human Protein Atlas (HPA) consortium. Note that (1) cell types are grouped primarily by function, not by tissue, (2) ubiquitous cell types, such as endothelial cells lining vessels, appear only once, although present in many tissues, (3) organs contain various cell types and can appear in multiple categories (eg, liver: hepatocytes and cholangiocytes under “specialized epithelial cells” and Kupffer cells under “immune cells”), (4) hard-to-isolate cells, such as osteocytes and chondrocytes, are not covered in this list, (5) enucleated cells/cell fragments, like red blood cells and platelets, are not included, although they may express aGPCRs, and (6) data represent healthy adult tissues. Normalized transcripts per million (nTPM) values represent the number of transcripts detected for a given gene. The size of the dot depends on the nTPM value (cutoff value of ≥ 4). Each data point represents gene expression and does not distinguish between transcript variants. ADGRE4 , and ADGRF2 are currently considered as pseudogenes in humans; however, transcripts originating from both loci have been reported. See and .

Journal: Pharmacological Reviews

Article Title: Adhesion G protein-coupled receptors

doi: 10.1016/j.pharmr.2026.100116

Figure Lengend Snippet: Overview of gene expression of aGPCRs across human cell types obtained by single-cell RNA sequencing data from solid tissues and bulk RNA sequencing data from sorted blood collected by the Human Protein Atlas (HPA) consortium. Note that (1) cell types are grouped primarily by function, not by tissue, (2) ubiquitous cell types, such as endothelial cells lining vessels, appear only once, although present in many tissues, (3) organs contain various cell types and can appear in multiple categories (eg, liver: hepatocytes and cholangiocytes under “specialized epithelial cells” and Kupffer cells under “immune cells”), (4) hard-to-isolate cells, such as osteocytes and chondrocytes, are not covered in this list, (5) enucleated cells/cell fragments, like red blood cells and platelets, are not included, although they may express aGPCRs, and (6) data represent healthy adult tissues. Normalized transcripts per million (nTPM) values represent the number of transcripts detected for a given gene. The size of the dot depends on the nTPM value (cutoff value of ≥ 4). Each data point represents gene expression and does not distinguish between transcript variants. ADGRE4 , and ADGRF2 are currently considered as pseudogenes in humans; however, transcripts originating from both loci have been reported. See and .

Article Snippet: Overview of gene expression of aGPCRs across human cell types obtained by single-cell RNA sequencing data from solid tissues and bulk RNA sequencing data from sorted blood collected by the Human Protein Atlas (HPA) consortium.

Techniques: Gene Expression, Single Cell, RNA Sequencing

FWE KO dysregulates cornification and lamellar body–related gene expression in cSCC xenografts. ( a ) Volcano plot representing differential expression analysis of bulk RNA sequencing of hFWE WT (n = 12) and KO (n = 11) SCC-13 xenografts. Genes implicated in lamellar body function or cornification are annotated. ( b ) GO:BP and GO:CC analysis on differentially downregulated genes in hFWE- KO SCC-13 xenografts. ( c ) Representative immunofluorescence for KLK5 in hFWE WT and KO SCC-13 xenografts (bar = 500 μm and 50 μm [inset]). ( d ) Quantification of percentage tumor area KLK5 positive (mean ± SEM) in hFWE WT and KO SCC-13 xenografts (n = 6, 2-tailed unpaired t -test, ∗∗ P < .01). cSCC, cutaneous squamous cell carcinoma; GO:BP, gene ontology biological process; GO:CC; gene ontology cellular component; KO, knockout; WT, wild-type.

Journal: JID Innovations

Article Title: The human Flower isoform hFWE4 facilitates cornification in cutaneous squamous cell carcinoma

doi: 10.1016/j.xjidi.2026.100468

Figure Lengend Snippet: FWE KO dysregulates cornification and lamellar body–related gene expression in cSCC xenografts. ( a ) Volcano plot representing differential expression analysis of bulk RNA sequencing of hFWE WT (n = 12) and KO (n = 11) SCC-13 xenografts. Genes implicated in lamellar body function or cornification are annotated. ( b ) GO:BP and GO:CC analysis on differentially downregulated genes in hFWE- KO SCC-13 xenografts. ( c ) Representative immunofluorescence for KLK5 in hFWE WT and KO SCC-13 xenografts (bar = 500 μm and 50 μm [inset]). ( d ) Quantification of percentage tumor area KLK5 positive (mean ± SEM) in hFWE WT and KO SCC-13 xenografts (n = 6, 2-tailed unpaired t -test, ∗∗ P < .01). cSCC, cutaneous squamous cell carcinoma; GO:BP, gene ontology biological process; GO:CC; gene ontology cellular component; KO, knockout; WT, wild-type.

Article Snippet: Bulk RNA-sequencing data are available at the National Center for Biotechnology Information Gene Expression Omnibus under the accession number GSE314399 ( https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE314399 ).

Techniques: Gene Expression, Quantitative Proteomics, RNA Sequencing, Immunofluorescence, Knock-Out