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Azenta bulk rna seq data analysis
Bulk Rna Seq Data Analysis, supplied by Azenta, 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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RNA Sequencing:

Article Title: Development of an AAV-delivered microRNA gene therapy for Myotonic Dystrophy Type 1.
Article Snippet: This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record.. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article.. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

Article Title: ZMIZ2 interacts with PIN1 to promote lung adenocarcinoma EMT and metastasis via activation of the PI3K/AKT pathway.
Article Snippet: .. RNA-seq data processing was carried out by GENEWIZ Biotech Inc. and presented in Table S3. ..

Article Title: Neurotrophin-3 produced by motor neurons non-cell autonomously regulate the development of pre-motor interneurons in the developing spinal cord
Article Snippet: RNA concentration and quality were assessed using a Bioanalyzer (Agilent) and submitted to Genewiz to prepare an ultra-low input RNA-seq library before sequencing with an Illumina HiSeq. .. Preliminary data were analyzed by Genewiz using the standard RNA-seq data analysis package. ..

Article Title: The hexosamine biosynthetic pathway alters the cytoskeleton to modulate cell proliferation and migration in aggressive prostate cancer.
Article Snippet: .. Library preparation, sequencing, and data analysis were carried out using the Standard RNA-seq services provided by GENEWIZ, Inc. ..

Article Title: IDH1-R132H enhances oncolytic HSV-1 therapy by facilitating viral entry and immune activation in glioma.
Article Snippet: .. Finally, we would like to thank Azenta Biosciences for their assistance with bulk RNA-seq data analysis. ..

Article Title: ZMIZ2 interacts with PIN1 to promote lung adenocarcinoma EMT and metastasis via activation of the PI3K/AKT pathway
Article Snippet: .. RNA-seq data processing was carried out by GENEWIZ Biotech Inc. and presented in Table . ..

Article Title: Mitochondrial dysfunction drives age-related degeneration of the thoracic aorta.
Article Snippet: seen in young mice, while also improving relative phosphorylative flux.. ELAM treatment also reduced inflammatory MMP9 expression and elastin breaks in aged mice.. Bulk RNAseq analysis revealed that ELAM treatment significantly affected the aortic transcriptome in an age-dependent manner, reducing the expression of senescent and associated pro-inflammatory genes.

other:

Article Title: Cell-Surface LAMP1 is a Senescence Marker in Aging and Idiopathic Pulmonary Fibrosis.
Article Snippet: Gene Set Enrichment Analysis (GSEA) was performed with Galaxy and RNA- Seq. data quality control was performed by Azenta.

Sequencing:

Article Title: The hexosamine biosynthetic pathway alters the cytoskeleton to modulate cell proliferation and migration in aggressive prostate cancer.
Article Snippet: .. Library preparation, sequencing, and data analysis were carried out using the Standard RNA-seq services provided by GENEWIZ, Inc. ..

Expressing:

Article Title: Mitochondrial dysfunction drives age-related degeneration of the thoracic aorta.
Article Snippet: seen in young mice, while also improving relative phosphorylative flux.. ELAM treatment also reduced inflammatory MMP9 expression and elastin breaks in aged mice.. Bulk RNAseq analysis revealed that ELAM treatment significantly affected the aortic transcriptome in an age-dependent manner, reducing the expression of senescent and associated pro-inflammatory genes.



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A , scRNA-seq UMAP of <t>d35</t> CN colored by assigned cell type, excitatory (EXC) and inhibitory (INH) neuronal subtypes, glioblasts, and unassigned cells. The numbers of cells per cluster are shown in parentheses. B, Violin plots of Seurat-normalized expression levels for cell-identity marker genes. C, UMAPs of <t>d35</t> CNs exposed to different treatments (DMSO = blue; dTAG = red). D, DEGs per cell type after ES→CN depletion, as identified with Seurat FindMarkers (padj < 0.05, |log2FoldChange| > 0.5). E, Degree of similarity of combined DEGs identified in the indicated neuronal cell types, as indicated by log2FoldChange pairwise Pearson correlation. F, Functional enrichment (gProfiler; padj < 0.05) for ranked DEGs in the indicated neuronal subtypes. G, Violin plots showing subtype-specific (left) and shared (right) DEGs between neuronal subtypes. Upregulated DEGs highlighted in red and downregulated DEGs highlighted in blue. H, Impact of EHMT1 depletion on the neuronal maturation score in neuronal subtypes (see Methods). Mann-Whitney test with Bonferroni correction. I, As H for neuronal function score (see Methods). J, Transcription factors with regulons significantly affected by EHMT1 depletion (Mann-Whitney test with Bonferroni correction), as determined by SCENIC (see Methods). (+)(-) indicate positive and negative correlations between the expression of a transcription factor and its regulon, respectively. Arrows indicate significant (padj<0.05) log2FC (dTAG/DMSO) of the TF in the cell type.
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A , scRNA-seq UMAP of <t>d35</t> CN colored by assigned cell type, excitatory (EXC) and inhibitory (INH) neuronal subtypes, glioblasts, and unassigned cells. The numbers of cells per cluster are shown in parentheses. B, Violin plots of Seurat-normalized expression levels for cell-identity marker genes. C, UMAPs of <t>d35</t> CNs exposed to different treatments (DMSO = blue; dTAG = red). D, DEGs per cell type after ES→CN depletion, as identified with Seurat FindMarkers (padj < 0.05, |log2FoldChange| > 0.5). E, Degree of similarity of combined DEGs identified in the indicated neuronal cell types, as indicated by log2FoldChange pairwise Pearson correlation. F, Functional enrichment (gProfiler; padj < 0.05) for ranked DEGs in the indicated neuronal subtypes. G, Violin plots showing subtype-specific (left) and shared (right) DEGs between neuronal subtypes. Upregulated DEGs highlighted in red and downregulated DEGs highlighted in blue. H, Impact of EHMT1 depletion on the neuronal maturation score in neuronal subtypes (see Methods). Mann-Whitney test with Bonferroni correction. I, As H for neuronal function score (see Methods). J, Transcription factors with regulons significantly affected by EHMT1 depletion (Mann-Whitney test with Bonferroni correction), as determined by SCENIC (see Methods). (+)(-) indicate positive and negative correlations between the expression of a transcription factor and its regulon, respectively. Arrows indicate significant (padj<0.05) log2FC (dTAG/DMSO) of the TF in the cell type.
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A , scRNA-seq UMAP of <t>d35</t> CN colored by assigned cell type, excitatory (EXC) and inhibitory (INH) neuronal subtypes, glioblasts, and unassigned cells. The numbers of cells per cluster are shown in parentheses. B, Violin plots of Seurat-normalized expression levels for cell-identity marker genes. C, UMAPs of <t>d35</t> CNs exposed to different treatments (DMSO = blue; dTAG = red). D, DEGs per cell type after ES→CN depletion, as identified with Seurat FindMarkers (padj < 0.05, |log2FoldChange| > 0.5). E, Degree of similarity of combined DEGs identified in the indicated neuronal cell types, as indicated by log2FoldChange pairwise Pearson correlation. F, Functional enrichment (gProfiler; padj < 0.05) for ranked DEGs in the indicated neuronal subtypes. G, Violin plots showing subtype-specific (left) and shared (right) DEGs between neuronal subtypes. Upregulated DEGs highlighted in red and downregulated DEGs highlighted in blue. H, Impact of EHMT1 depletion on the neuronal maturation score in neuronal subtypes (see Methods). Mann-Whitney test with Bonferroni correction. I, As H for neuronal function score (see Methods). J, Transcription factors with regulons significantly affected by EHMT1 depletion (Mann-Whitney test with Bonferroni correction), as determined by SCENIC (see Methods). (+)(-) indicate positive and negative correlations between the expression of a transcription factor and its regulon, respectively. Arrows indicate significant (padj<0.05) log2FC (dTAG/DMSO) of the TF in the cell type.
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Increased IFITM and decreased DHODH expression characterize the placenta in the context of HDPs (A) Volcano plot of transcriptomic changes identified by <t>RNA-seq.</t> Transcripts highlighted in red or blue were significantly altered ( q value < 0.05). (B) Differentially expressed genes were classified by functional enrichment analysis using the Reactome pathway database and Gene Ontology (GO) biological processes or cellular components. (C) Heatmap of mitochondria-related genes downregulated in the placenta in the context of HDPs. Genes with higher expression are shown in green, and those with lower expression are shown in red. Ctrl: premature delivery, n = 5; HDP, n = 5. (D) Expression of DHODH, OPA1, DNM1L, MFN1, TFAM, and IFITM1-3 in trophoblast BeWo cells treated with forskolin (FSK, 2.5 μM) and rotenone (Rote, 50 nM) for 48 h. GAPDH was used as a reference gene. The data are presented as the mean ± SEM from three independent experiments. ∗ p < 0.05, ∗∗ p < 0.01 vs. FSK alone (Tukey’s test). (E) Expression of IFITMs in BeWo cells treated with FSK (2.5 μM), orludodstat (Orlu, 1 nM), or brequinar (Bre, 25 nM) for 48 h. GAPDH was used as a reference gene. The data are presented as the mean ± SEM from three independent experiments. ∗∗ p < 0.01 vs. Ctrl; † p < 0.05, †† p < 0.01, ††† p < 0.001 vs. FSK alone (Tukey’s test).
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Increased IFITM and decreased DHODH expression characterize the placenta in the context of HDPs (A) Volcano plot of transcriptomic changes identified by <t>RNA-seq.</t> Transcripts highlighted in red or blue were significantly altered ( q value < 0.05). (B) Differentially expressed genes were classified by functional enrichment analysis using the Reactome pathway database and Gene Ontology (GO) biological processes or cellular components. (C) Heatmap of mitochondria-related genes downregulated in the placenta in the context of HDPs. Genes with higher expression are shown in green, and those with lower expression are shown in red. Ctrl: premature delivery, n = 5; HDP, n = 5. (D) Expression of DHODH, OPA1, DNM1L, MFN1, TFAM, and IFITM1-3 in trophoblast BeWo cells treated with forskolin (FSK, 2.5 μM) and rotenone (Rote, 50 nM) for 48 h. GAPDH was used as a reference gene. The data are presented as the mean ± SEM from three independent experiments. ∗ p < 0.05, ∗∗ p < 0.01 vs. FSK alone (Tukey’s test). (E) Expression of IFITMs in BeWo cells treated with FSK (2.5 μM), orludodstat (Orlu, 1 nM), or brequinar (Bre, 25 nM) for 48 h. GAPDH was used as a reference gene. The data are presented as the mean ± SEM from three independent experiments. ∗∗ p < 0.01 vs. Ctrl; † p < 0.05, †† p < 0.01, ††† p < 0.001 vs. FSK alone (Tukey’s test).
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Increased IFITM and decreased DHODH expression characterize the placenta in the context of HDPs (A) Volcano plot of transcriptomic changes identified by <t>RNA-seq.</t> Transcripts highlighted in red or blue were significantly altered ( q value < 0.05). (B) Differentially expressed genes were classified by functional enrichment analysis using the Reactome pathway database and Gene Ontology (GO) biological processes or cellular components. (C) Heatmap of mitochondria-related genes downregulated in the placenta in the context of HDPs. Genes with higher expression are shown in green, and those with lower expression are shown in red. Ctrl: premature delivery, n = 5; HDP, n = 5. (D) Expression of DHODH, OPA1, DNM1L, MFN1, TFAM, and IFITM1-3 in trophoblast BeWo cells treated with forskolin (FSK, 2.5 μM) and rotenone (Rote, 50 nM) for 48 h. GAPDH was used as a reference gene. The data are presented as the mean ± SEM from three independent experiments. ∗ p < 0.05, ∗∗ p < 0.01 vs. FSK alone (Tukey’s test). (E) Expression of IFITMs in BeWo cells treated with FSK (2.5 μM), orludodstat (Orlu, 1 nM), or brequinar (Bre, 25 nM) for 48 h. GAPDH was used as a reference gene. The data are presented as the mean ± SEM from three independent experiments. ∗∗ p < 0.01 vs. Ctrl; † p < 0.05, †† p < 0.01, ††† p < 0.001 vs. FSK alone (Tukey’s test).
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Increased IFITM and decreased DHODH expression characterize the placenta in the context of HDPs (A) Volcano plot of transcriptomic changes identified by <t>RNA-seq.</t> Transcripts highlighted in red or blue were significantly altered ( q value < 0.05). (B) Differentially expressed genes were classified by functional enrichment analysis using the Reactome pathway database and Gene Ontology (GO) biological processes or cellular components. (C) Heatmap of mitochondria-related genes downregulated in the placenta in the context of HDPs. Genes with higher expression are shown in green, and those with lower expression are shown in red. Ctrl: premature delivery, n = 5; HDP, n = 5. (D) Expression of DHODH, OPA1, DNM1L, MFN1, TFAM, and IFITM1-3 in trophoblast BeWo cells treated with forskolin (FSK, 2.5 μM) and rotenone (Rote, 50 nM) for 48 h. GAPDH was used as a reference gene. The data are presented as the mean ± SEM from three independent experiments. ∗ p < 0.05, ∗∗ p < 0.01 vs. FSK alone (Tukey’s test). (E) Expression of IFITMs in BeWo cells treated with FSK (2.5 μM), orludodstat (Orlu, 1 nM), or brequinar (Bre, 25 nM) for 48 h. GAPDH was used as a reference gene. The data are presented as the mean ± SEM from three independent experiments. ∗∗ p < 0.01 vs. Ctrl; † p < 0.05, †† p < 0.01, ††† p < 0.001 vs. FSK alone (Tukey’s test).
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Image Search Results


A , scRNA-seq UMAP of d35 CN colored by assigned cell type, excitatory (EXC) and inhibitory (INH) neuronal subtypes, glioblasts, and unassigned cells. The numbers of cells per cluster are shown in parentheses. B, Violin plots of Seurat-normalized expression levels for cell-identity marker genes. C, UMAPs of d35 CNs exposed to different treatments (DMSO = blue; dTAG = red). D, DEGs per cell type after ES→CN depletion, as identified with Seurat FindMarkers (padj < 0.05, |log2FoldChange| > 0.5). E, Degree of similarity of combined DEGs identified in the indicated neuronal cell types, as indicated by log2FoldChange pairwise Pearson correlation. F, Functional enrichment (gProfiler; padj < 0.05) for ranked DEGs in the indicated neuronal subtypes. G, Violin plots showing subtype-specific (left) and shared (right) DEGs between neuronal subtypes. Upregulated DEGs highlighted in red and downregulated DEGs highlighted in blue. H, Impact of EHMT1 depletion on the neuronal maturation score in neuronal subtypes (see Methods). Mann-Whitney test with Bonferroni correction. I, As H for neuronal function score (see Methods). J, Transcription factors with regulons significantly affected by EHMT1 depletion (Mann-Whitney test with Bonferroni correction), as determined by SCENIC (see Methods). (+)(-) indicate positive and negative correlations between the expression of a transcription factor and its regulon, respectively. Arrows indicate significant (padj<0.05) log2FC (dTAG/DMSO) of the TF in the cell type.

Journal: bioRxiv

Article Title: Developmental rewiring of EHMT1 function during human cortical neurogenesis

doi: 10.64898/2026.10.09.757098

Figure Lengend Snippet: A , scRNA-seq UMAP of d35 CN colored by assigned cell type, excitatory (EXC) and inhibitory (INH) neuronal subtypes, glioblasts, and unassigned cells. The numbers of cells per cluster are shown in parentheses. B, Violin plots of Seurat-normalized expression levels for cell-identity marker genes. C, UMAPs of d35 CNs exposed to different treatments (DMSO = blue; dTAG = red). D, DEGs per cell type after ES→CN depletion, as identified with Seurat FindMarkers (padj < 0.05, |log2FoldChange| > 0.5). E, Degree of similarity of combined DEGs identified in the indicated neuronal cell types, as indicated by log2FoldChange pairwise Pearson correlation. F, Functional enrichment (gProfiler; padj < 0.05) for ranked DEGs in the indicated neuronal subtypes. G, Violin plots showing subtype-specific (left) and shared (right) DEGs between neuronal subtypes. Upregulated DEGs highlighted in red and downregulated DEGs highlighted in blue. H, Impact of EHMT1 depletion on the neuronal maturation score in neuronal subtypes (see Methods). Mann-Whitney test with Bonferroni correction. I, As H for neuronal function score (see Methods). J, Transcription factors with regulons significantly affected by EHMT1 depletion (Mann-Whitney test with Bonferroni correction), as determined by SCENIC (see Methods). (+)(-) indicate positive and negative correlations between the expression of a transcription factor and its regulon, respectively. Arrows indicate significant (padj<0.05) log2FC (dTAG/DMSO) of the TF in the cell type.

Article Snippet: We conducted bioinformatic analysis of bulk RNA-seq data for d35 CN single-cell RNA-seq validation using Plasmidsaurus’s workflow.

Techniques: Expressing, Marker, Functional Assay, MANN-WHITNEY

Increased IFITM and decreased DHODH expression characterize the placenta in the context of HDPs (A) Volcano plot of transcriptomic changes identified by RNA-seq. Transcripts highlighted in red or blue were significantly altered ( q value < 0.05). (B) Differentially expressed genes were classified by functional enrichment analysis using the Reactome pathway database and Gene Ontology (GO) biological processes or cellular components. (C) Heatmap of mitochondria-related genes downregulated in the placenta in the context of HDPs. Genes with higher expression are shown in green, and those with lower expression are shown in red. Ctrl: premature delivery, n = 5; HDP, n = 5. (D) Expression of DHODH, OPA1, DNM1L, MFN1, TFAM, and IFITM1-3 in trophoblast BeWo cells treated with forskolin (FSK, 2.5 μM) and rotenone (Rote, 50 nM) for 48 h. GAPDH was used as a reference gene. The data are presented as the mean ± SEM from three independent experiments. ∗ p < 0.05, ∗∗ p < 0.01 vs. FSK alone (Tukey’s test). (E) Expression of IFITMs in BeWo cells treated with FSK (2.5 μM), orludodstat (Orlu, 1 nM), or brequinar (Bre, 25 nM) for 48 h. GAPDH was used as a reference gene. The data are presented as the mean ± SEM from three independent experiments. ∗∗ p < 0.01 vs. Ctrl; † p < 0.05, †† p < 0.01, ††† p < 0.001 vs. FSK alone (Tukey’s test).

Journal: iScience

Article Title: DHODH regulates trophoblast fusion via IFITM-reduced plasma membrane fluidity: Implications for hypertensive disorders of pregnancy

doi: 10.1016/j.isci.2026.116163

Figure Lengend Snippet: Increased IFITM and decreased DHODH expression characterize the placenta in the context of HDPs (A) Volcano plot of transcriptomic changes identified by RNA-seq. Transcripts highlighted in red or blue were significantly altered ( q value < 0.05). (B) Differentially expressed genes were classified by functional enrichment analysis using the Reactome pathway database and Gene Ontology (GO) biological processes or cellular components. (C) Heatmap of mitochondria-related genes downregulated in the placenta in the context of HDPs. Genes with higher expression are shown in green, and those with lower expression are shown in red. Ctrl: premature delivery, n = 5; HDP, n = 5. (D) Expression of DHODH, OPA1, DNM1L, MFN1, TFAM, and IFITM1-3 in trophoblast BeWo cells treated with forskolin (FSK, 2.5 μM) and rotenone (Rote, 50 nM) for 48 h. GAPDH was used as a reference gene. The data are presented as the mean ± SEM from three independent experiments. ∗ p < 0.05, ∗∗ p < 0.01 vs. FSK alone (Tukey’s test). (E) Expression of IFITMs in BeWo cells treated with FSK (2.5 μM), orludodstat (Orlu, 1 nM), or brequinar (Bre, 25 nM) for 48 h. GAPDH was used as a reference gene. The data are presented as the mean ± SEM from three independent experiments. ∗∗ p < 0.01 vs. Ctrl; † p < 0.05, †† p < 0.01, ††† p < 0.001 vs. FSK alone (Tukey’s test).

Article Snippet: • Raw RNA-seq data derived from human placental samples and trophoblast cell lines have been deposited at the DNA DataBank of Japan (DDBJ) Sequence Read Archive as DDBJ: DRA021720 and DRA021721 and are publicly available as of the date of publication.

Techniques: Expressing, RNA Sequencing, Functional Assay

DHODH regulates IFITM expression via IRF1 (A–H) BeWo cells or DHODH-KD BeWo cells were treated with FSK (2.5 μM), Orlu (1 nM), or Bre (25 nM) for 48 h. (A) Volcano plot showing transcriptomic changes identified by RNA-seq. Transcripts highlighted in red or blue were considered differentially expressed, as indicated by an expression change ≥2-fold ( p < 0.05). (B) Correlation analysis of RNA-seq data from Orlu-, Bre-treated, and DHODH-KD cells. (C) Differentially expressed genes were classified by functional enrichment analysis using the Wiki pathway database and GO biological processes or cellular components. (D) RNA-seq was used to evaluate the expression levels of genes associated with syncytialization. (E) RNA-seq was used to evaluate the expression levels of IRF family genes. (F) Immunoblotting for IRF1, total IRF3, and p -IRF3. GAPDH was used as a loading control. Representative data from three independent experiments are shown. The graph shows the total IRF3 and p -IRF3 levels normalized to GAPDH levels from three independent experiments. ∗∗ p < 0.01, ∗∗∗ p < 0.001 vs. Ctrl (Tukey’s test). Values represent the mean ± SEM. (G) ChIP assay showing IRF1 binding to upstream regulatory regions (up to 3 kbp) of the IFITM1, IFITM2, and IFITM3 loci in BeWo cells treated with FSK alone (2.5 μM) for 48 h. ∗ p < 0.05 vs. Ctrl; † p < 0.05, †† p < 0.01, ††† p < 0.001 vs. FSK alone (Tukey’s test). (H) Immunofluorescence staining of IRF1 (red). Nuclei were counterstained with DAPI (blue). Scale bars, 5 μm. The graph shows the number of staining cells from three independent experiments. Values represent the mean ± SEM. ∗∗∗ p < 0.001 vs. FSK.

Journal: iScience

Article Title: DHODH regulates trophoblast fusion via IFITM-reduced plasma membrane fluidity: Implications for hypertensive disorders of pregnancy

doi: 10.1016/j.isci.2026.116163

Figure Lengend Snippet: DHODH regulates IFITM expression via IRF1 (A–H) BeWo cells or DHODH-KD BeWo cells were treated with FSK (2.5 μM), Orlu (1 nM), or Bre (25 nM) for 48 h. (A) Volcano plot showing transcriptomic changes identified by RNA-seq. Transcripts highlighted in red or blue were considered differentially expressed, as indicated by an expression change ≥2-fold ( p < 0.05). (B) Correlation analysis of RNA-seq data from Orlu-, Bre-treated, and DHODH-KD cells. (C) Differentially expressed genes were classified by functional enrichment analysis using the Wiki pathway database and GO biological processes or cellular components. (D) RNA-seq was used to evaluate the expression levels of genes associated with syncytialization. (E) RNA-seq was used to evaluate the expression levels of IRF family genes. (F) Immunoblotting for IRF1, total IRF3, and p -IRF3. GAPDH was used as a loading control. Representative data from three independent experiments are shown. The graph shows the total IRF3 and p -IRF3 levels normalized to GAPDH levels from three independent experiments. ∗∗ p < 0.01, ∗∗∗ p < 0.001 vs. Ctrl (Tukey’s test). Values represent the mean ± SEM. (G) ChIP assay showing IRF1 binding to upstream regulatory regions (up to 3 kbp) of the IFITM1, IFITM2, and IFITM3 loci in BeWo cells treated with FSK alone (2.5 μM) for 48 h. ∗ p < 0.05 vs. Ctrl; † p < 0.05, †† p < 0.01, ††† p < 0.001 vs. FSK alone (Tukey’s test). (H) Immunofluorescence staining of IRF1 (red). Nuclei were counterstained with DAPI (blue). Scale bars, 5 μm. The graph shows the number of staining cells from three independent experiments. Values represent the mean ± SEM. ∗∗∗ p < 0.001 vs. FSK.

Article Snippet: • Raw RNA-seq data derived from human placental samples and trophoblast cell lines have been deposited at the DNA DataBank of Japan (DDBJ) Sequence Read Archive as DDBJ: DRA021720 and DRA021721 and are publicly available as of the date of publication.

Techniques: Expressing, RNA Sequencing, Functional Assay, Western Blot, Control, Binding Assay, Immunofluorescence, Staining