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    Omics Data Automation rna seq data
    Rna Seq Data, supplied by Omics Data Automation, 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/product/rna-seq+data/rna+seq/pm42304527-387-4-12
    Average 86 stars, based on 1 article reviews
    rna seq data - by Bioz Stars, 2026-09
    86/100 stars

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    Related Articles

    RNA Sequencing:

    Article Title: Tumour-wide RNA splicing aberrations generate actionable public neoantigens.
    Article Snippet: Through the National Omics Data Encyclopedia (NODE), RNA-seq data can be accessed with accession code OEP002956 for Yang et al. 2022.

    Article Title: Tumour-wide RNA splicing aberrations generate actionable public neoantigens.
    Article Snippet: Through the National Omics Data Encyclopedia, RNA-seq data can be accessed with the accession code OEP002956 for ref. 24.

    Article Title: The Clinical and Molecular Characterization of Distinct Subtypes in Adult T Cell Acute Lymphoblastic Leukemia
    Article Snippet: The RNA‐seq data for the validation cohort was obtained from TARGET‐ALL‐P2 [ ], GSE141140 [ ], GSE146901 [ ], the National Omics Data Encyclopedia (NODE) (accession code OEP002748) [ ], and Synapse database (syn54032669) [ ].

    Article Title: Overexpression of miR-99a promoted expansion and suppressed differentiation of hematopoietic stem/progenitor cells
    Article Snippet: RNA-seq data generated for this study are available at the National Omics Data Encyclopedia (NODE) with the accession number OEP00005662 and the link https://www.biosino.org/node/project/detail/OEP00005662.

    Article Title: UnitedMet harnesses RNA-metabolite covariation to impute metabolite levels in clinical samples.
    Article Snippet: RNA-seq data of primary tumor tissues from the TNBC cohort (n = 360, no. of genes = 23,211) were downloaded from the National Omics Data Encyclopedia (https://www.biosino.org/node/ analysis/detail/OEZ00000398) according to Jiang et al.27.

    Article Title: UnitedMet harnesses RNA–metabolite covariation to impute metabolite levels in clinical samples
    Article Snippet: Matched TPM-normalized RNA-seq and bulk metabolomic data (raw count matrices) of two breast cancer datasets BrCa1 (ref. ) ( n = 108, no. of metabolites = 533, no. of genes = 20,032), BrCa2 ( n = 18, no. of metabolites = 397, no. of genes = 21,773) were downloaded from Benedetti et al. . RNA-seq data of primary tumor tissues from the TNBC cohort ( n = 360, no. of genes = 23,211) were downloaded from the National Omics Data Encyclopedia ( https://www.biosino.org/node/analysis/detail/OEZ00000398 ) according to Jiang et al. .

    Article Title: Overexpression of miR-99a promoted expansion and suppressed differentiation of hematopoietic stem/progenitor cells.
    Article Snippet: RNA-seq data generated for this study are available at the National Omics Data Encyclopedia (NODE) with the accession number OEP00005662 and the link https: //w ww.bios ino .org /node/p roject /deta il/OEP00005662.

    Article Title: Tumour-wide RNA splicing aberrations generate actionable public neoantigens
    Article Snippet: Through the National Omics Data Encyclopedia, RNA-seq data can be accessed with the accession code OEP002956 for ref. .

    Isotopic Labeling:

    Article Title: Tumour-wide RNA splicing aberrations generate actionable public neoantigens.
    Article Snippet: Through the National Omics Data Encyclopedia (NODE), RNA-seq data can be accessed with accession code OEP002956 for Yang et al. 2022.

    Article Title: Tumour-wide RNA splicing aberrations generate actionable public neoantigens.
    Article Snippet: Through the National Omics Data Encyclopedia, RNA-seq data can be accessed with the accession code OEP002956 for ref. 24.

    Article Title: The Clinical and Molecular Characterization of Distinct Subtypes in Adult T Cell Acute Lymphoblastic Leukemia
    Article Snippet: The RNA‐seq data for the validation cohort was obtained from TARGET‐ALL‐P2 [ ], GSE141140 [ ], GSE146901 [ ], the National Omics Data Encyclopedia (NODE) (accession code OEP002748) [ ], and Synapse database (syn54032669) [ ].

    Article Title: Overexpression of miR-99a promoted expansion and suppressed differentiation of hematopoietic stem/progenitor cells
    Article Snippet: RNA-seq data generated for this study are available at the National Omics Data Encyclopedia (NODE) with the accession number OEP00005662 and the link https://www.biosino.org/node/project/detail/OEP00005662.

    Article Title: UnitedMet harnesses RNA-metabolite covariation to impute metabolite levels in clinical samples.
    Article Snippet: RNA-seq data of primary tumor tissues from the TNBC cohort (n = 360, no. of genes = 23,211) were downloaded from the National Omics Data Encyclopedia (https://www.biosino.org/node/ analysis/detail/OEZ00000398) according to Jiang et al.27.

    Article Title: UnitedMet harnesses RNA–metabolite covariation to impute metabolite levels in clinical samples
    Article Snippet: Matched TPM-normalized RNA-seq and bulk metabolomic data (raw count matrices) of two breast cancer datasets BrCa1 (ref. ) ( n = 108, no. of metabolites = 533, no. of genes = 20,032), BrCa2 ( n = 18, no. of metabolites = 397, no. of genes = 21,773) were downloaded from Benedetti et al. . RNA-seq data of primary tumor tissues from the TNBC cohort ( n = 360, no. of genes = 23,211) were downloaded from the National Omics Data Encyclopedia ( https://www.biosino.org/node/analysis/detail/OEZ00000398 ) according to Jiang et al. .

    Article Title: Overexpression of miR-99a promoted expansion and suppressed differentiation of hematopoietic stem/progenitor cells.
    Article Snippet: RNA-seq data generated for this study are available at the National Omics Data Encyclopedia (NODE) with the accession number OEP00005662 and the link https: //w ww.bios ino .org /node/p roject /deta il/OEP00005662.

    Article Title: Tumour-wide RNA splicing aberrations generate actionable public neoantigens
    Article Snippet: Through the National Omics Data Encyclopedia, RNA-seq data can be accessed with the accession code OEP002956 for ref. .

    Mutagenesis:

    Article Title: Tumour-wide RNA splicing aberrations generate actionable public neoantigens.
    Article Snippet: Through the National Omics Data Encyclopedia (NODE), RNA-seq data can be accessed with accession code OEP002956 for Yang et al. 2022.

    Article Title: Tumour-wide RNA splicing aberrations generate actionable public neoantigens.
    Article Snippet: Through the National Omics Data Encyclopedia, RNA-seq data can be accessed with the accession code OEP002956 for ref. 24.

    Article Title: The Clinical and Molecular Characterization of Distinct Subtypes in Adult T Cell Acute Lymphoblastic Leukemia
    Article Snippet: The RNA‐seq data for the validation cohort was obtained from TARGET‐ALL‐P2 [ ], GSE141140 [ ], GSE146901 [ ], the National Omics Data Encyclopedia (NODE) (accession code OEP002748) [ ], and Synapse database (syn54032669) [ ].

    Article Title: Overexpression of miR-99a promoted expansion and suppressed differentiation of hematopoietic stem/progenitor cells
    Article Snippet: RNA-seq data generated for this study are available at the National Omics Data Encyclopedia (NODE) with the accession number OEP00005662 and the link https://www.biosino.org/node/project/detail/OEP00005662.

    Article Title: UnitedMet harnesses RNA-metabolite covariation to impute metabolite levels in clinical samples.
    Article Snippet: RNA-seq data of primary tumor tissues from the TNBC cohort (n = 360, no. of genes = 23,211) were downloaded from the National Omics Data Encyclopedia (https://www.biosino.org/node/ analysis/detail/OEZ00000398) according to Jiang et al.27.

    Article Title: UnitedMet harnesses RNA–metabolite covariation to impute metabolite levels in clinical samples
    Article Snippet: Matched TPM-normalized RNA-seq and bulk metabolomic data (raw count matrices) of two breast cancer datasets BrCa1 (ref. ) ( n = 108, no. of metabolites = 533, no. of genes = 20,032), BrCa2 ( n = 18, no. of metabolites = 397, no. of genes = 21,773) were downloaded from Benedetti et al. . RNA-seq data of primary tumor tissues from the TNBC cohort ( n = 360, no. of genes = 23,211) were downloaded from the National Omics Data Encyclopedia ( https://www.biosino.org/node/analysis/detail/OEZ00000398 ) according to Jiang et al. .

    Article Title: Overexpression of miR-99a promoted expansion and suppressed differentiation of hematopoietic stem/progenitor cells.
    Article Snippet: RNA-seq data generated for this study are available at the National Omics Data Encyclopedia (NODE) with the accession number OEP00005662 and the link https: //w ww.bios ino .org /node/p roject /deta il/OEP00005662.

    Article Title: Tumour-wide RNA splicing aberrations generate actionable public neoantigens
    Article Snippet: Through the National Omics Data Encyclopedia, RNA-seq data can be accessed with the accession code OEP002956 for ref. .

    Polymerase Chain Reaction:

    Article Title: Tumour-wide RNA splicing aberrations generate actionable public neoantigens.
    Article Snippet: Through the National Omics Data Encyclopedia (NODE), RNA-seq data can be accessed with accession code OEP002956 for Yang et al. 2022.

    Article Title: Tumour-wide RNA splicing aberrations generate actionable public neoantigens.
    Article Snippet: Through the National Omics Data Encyclopedia, RNA-seq data can be accessed with the accession code OEP002956 for ref. 24.

    Article Title: The Clinical and Molecular Characterization of Distinct Subtypes in Adult T Cell Acute Lymphoblastic Leukemia
    Article Snippet: The RNA‐seq data for the validation cohort was obtained from TARGET‐ALL‐P2 [ ], GSE141140 [ ], GSE146901 [ ], the National Omics Data Encyclopedia (NODE) (accession code OEP002748) [ ], and Synapse database (syn54032669) [ ].

    Article Title: Overexpression of miR-99a promoted expansion and suppressed differentiation of hematopoietic stem/progenitor cells
    Article Snippet: RNA-seq data generated for this study are available at the National Omics Data Encyclopedia (NODE) with the accession number OEP00005662 and the link https://www.biosino.org/node/project/detail/OEP00005662.

    Article Title: UnitedMet harnesses RNA-metabolite covariation to impute metabolite levels in clinical samples.
    Article Snippet: RNA-seq data of primary tumor tissues from the TNBC cohort (n = 360, no. of genes = 23,211) were downloaded from the National Omics Data Encyclopedia (https://www.biosino.org/node/ analysis/detail/OEZ00000398) according to Jiang et al.27.

    Article Title: UnitedMet harnesses RNA–metabolite covariation to impute metabolite levels in clinical samples
    Article Snippet: Matched TPM-normalized RNA-seq and bulk metabolomic data (raw count matrices) of two breast cancer datasets BrCa1 (ref. ) ( n = 108, no. of metabolites = 533, no. of genes = 20,032), BrCa2 ( n = 18, no. of metabolites = 397, no. of genes = 21,773) were downloaded from Benedetti et al. . RNA-seq data of primary tumor tissues from the TNBC cohort ( n = 360, no. of genes = 23,211) were downloaded from the National Omics Data Encyclopedia ( https://www.biosino.org/node/analysis/detail/OEZ00000398 ) according to Jiang et al. .

    Article Title: Overexpression of miR-99a promoted expansion and suppressed differentiation of hematopoietic stem/progenitor cells.
    Article Snippet: RNA-seq data generated for this study are available at the National Omics Data Encyclopedia (NODE) with the accession number OEP00005662 and the link https: //w ww.bios ino .org /node/p roject /deta il/OEP00005662.

    Article Title: Tumour-wide RNA splicing aberrations generate actionable public neoantigens
    Article Snippet: Through the National Omics Data Encyclopedia, RNA-seq data can be accessed with the accession code OEP002956 for ref. .

    Amplification:

    Article Title: Tumour-wide RNA splicing aberrations generate actionable public neoantigens.
    Article Snippet: Through the National Omics Data Encyclopedia (NODE), RNA-seq data can be accessed with accession code OEP002956 for Yang et al. 2022.

    Article Title: Tumour-wide RNA splicing aberrations generate actionable public neoantigens.
    Article Snippet: Through the National Omics Data Encyclopedia, RNA-seq data can be accessed with the accession code OEP002956 for ref. 24.

    Article Title: The Clinical and Molecular Characterization of Distinct Subtypes in Adult T Cell Acute Lymphoblastic Leukemia
    Article Snippet: The RNA‐seq data for the validation cohort was obtained from TARGET‐ALL‐P2 [ ], GSE141140 [ ], GSE146901 [ ], the National Omics Data Encyclopedia (NODE) (accession code OEP002748) [ ], and Synapse database (syn54032669) [ ].

    Article Title: Overexpression of miR-99a promoted expansion and suppressed differentiation of hematopoietic stem/progenitor cells
    Article Snippet: RNA-seq data generated for this study are available at the National Omics Data Encyclopedia (NODE) with the accession number OEP00005662 and the link https://www.biosino.org/node/project/detail/OEP00005662.

    Article Title: UnitedMet harnesses RNA-metabolite covariation to impute metabolite levels in clinical samples.
    Article Snippet: RNA-seq data of primary tumor tissues from the TNBC cohort (n = 360, no. of genes = 23,211) were downloaded from the National Omics Data Encyclopedia (https://www.biosino.org/node/ analysis/detail/OEZ00000398) according to Jiang et al.27.

    Article Title: UnitedMet harnesses RNA–metabolite covariation to impute metabolite levels in clinical samples
    Article Snippet: Matched TPM-normalized RNA-seq and bulk metabolomic data (raw count matrices) of two breast cancer datasets BrCa1 (ref. ) ( n = 108, no. of metabolites = 533, no. of genes = 20,032), BrCa2 ( n = 18, no. of metabolites = 397, no. of genes = 21,773) were downloaded from Benedetti et al. . RNA-seq data of primary tumor tissues from the TNBC cohort ( n = 360, no. of genes = 23,211) were downloaded from the National Omics Data Encyclopedia ( https://www.biosino.org/node/analysis/detail/OEZ00000398 ) according to Jiang et al. .

    Article Title: Overexpression of miR-99a promoted expansion and suppressed differentiation of hematopoietic stem/progenitor cells.
    Article Snippet: RNA-seq data generated for this study are available at the National Omics Data Encyclopedia (NODE) with the accession number OEP00005662 and the link https: //w ww.bios ino .org /node/p roject /deta il/OEP00005662.

    Article Title: Tumour-wide RNA splicing aberrations generate actionable public neoantigens
    Article Snippet: Through the National Omics Data Encyclopedia, RNA-seq data can be accessed with the accession code OEP002956 for ref. .

    Generated:

    Article Title: Tumour-wide RNA splicing aberrations generate actionable public neoantigens.
    Article Snippet: Through the National Omics Data Encyclopedia (NODE), RNA-seq data can be accessed with accession code OEP002956 for Yang et al. 2022.

    Article Title: Tumour-wide RNA splicing aberrations generate actionable public neoantigens.
    Article Snippet: Through the National Omics Data Encyclopedia, RNA-seq data can be accessed with the accession code OEP002956 for ref. 24.

    Article Title: The Clinical and Molecular Characterization of Distinct Subtypes in Adult T Cell Acute Lymphoblastic Leukemia
    Article Snippet: The RNA‐seq data for the validation cohort was obtained from TARGET‐ALL‐P2 [ ], GSE141140 [ ], GSE146901 [ ], the National Omics Data Encyclopedia (NODE) (accession code OEP002748) [ ], and Synapse database (syn54032669) [ ].

    Article Title: Overexpression of miR-99a promoted expansion and suppressed differentiation of hematopoietic stem/progenitor cells
    Article Snippet: RNA-seq data generated for this study are available at the National Omics Data Encyclopedia (NODE) with the accession number OEP00005662 and the link https://www.biosino.org/node/project/detail/OEP00005662.

    Article Title: UnitedMet harnesses RNA-metabolite covariation to impute metabolite levels in clinical samples.
    Article Snippet: RNA-seq data of primary tumor tissues from the TNBC cohort (n = 360, no. of genes = 23,211) were downloaded from the National Omics Data Encyclopedia (https://www.biosino.org/node/ analysis/detail/OEZ00000398) according to Jiang et al.27.

    Article Title: UnitedMet harnesses RNA–metabolite covariation to impute metabolite levels in clinical samples
    Article Snippet: Matched TPM-normalized RNA-seq and bulk metabolomic data (raw count matrices) of two breast cancer datasets BrCa1 (ref. ) ( n = 108, no. of metabolites = 533, no. of genes = 20,032), BrCa2 ( n = 18, no. of metabolites = 397, no. of genes = 21,773) were downloaded from Benedetti et al. . RNA-seq data of primary tumor tissues from the TNBC cohort ( n = 360, no. of genes = 23,211) were downloaded from the National Omics Data Encyclopedia ( https://www.biosino.org/node/analysis/detail/OEZ00000398 ) according to Jiang et al. .

    Article Title: Overexpression of miR-99a promoted expansion and suppressed differentiation of hematopoietic stem/progenitor cells.
    Article Snippet: RNA-seq data generated for this study are available at the National Omics Data Encyclopedia (NODE) with the accession number OEP00005662 and the link https: //w ww.bios ino .org /node/p roject /deta il/OEP00005662.

    Article Title: Tumour-wide RNA splicing aberrations generate actionable public neoantigens
    Article Snippet: Through the National Omics Data Encyclopedia, RNA-seq data can be accessed with the accession code OEP002956 for ref. .

    Biomarker Discovery:

    Article Title: Tumour-wide RNA splicing aberrations generate actionable public neoantigens.
    Article Snippet: Through the National Omics Data Encyclopedia (NODE), RNA-seq data can be accessed with accession code OEP002956 for Yang et al. 2022.

    Article Title: Tumour-wide RNA splicing aberrations generate actionable public neoantigens.
    Article Snippet: Through the National Omics Data Encyclopedia, RNA-seq data can be accessed with the accession code OEP002956 for ref. 24.

    Article Title: The Clinical and Molecular Characterization of Distinct Subtypes in Adult T Cell Acute Lymphoblastic Leukemia
    Article Snippet: The RNA‐seq data for the validation cohort was obtained from TARGET‐ALL‐P2 [ ], GSE141140 [ ], GSE146901 [ ], the National Omics Data Encyclopedia (NODE) (accession code OEP002748) [ ], and Synapse database (syn54032669) [ ].

    Article Title: Overexpression of miR-99a promoted expansion and suppressed differentiation of hematopoietic stem/progenitor cells
    Article Snippet: RNA-seq data generated for this study are available at the National Omics Data Encyclopedia (NODE) with the accession number OEP00005662 and the link https://www.biosino.org/node/project/detail/OEP00005662.

    Article Title: UnitedMet harnesses RNA-metabolite covariation to impute metabolite levels in clinical samples.
    Article Snippet: RNA-seq data of primary tumor tissues from the TNBC cohort (n = 360, no. of genes = 23,211) were downloaded from the National Omics Data Encyclopedia (https://www.biosino.org/node/ analysis/detail/OEZ00000398) according to Jiang et al.27.

    Article Title: UnitedMet harnesses RNA–metabolite covariation to impute metabolite levels in clinical samples
    Article Snippet: Matched TPM-normalized RNA-seq and bulk metabolomic data (raw count matrices) of two breast cancer datasets BrCa1 (ref. ) ( n = 108, no. of metabolites = 533, no. of genes = 20,032), BrCa2 ( n = 18, no. of metabolites = 397, no. of genes = 21,773) were downloaded from Benedetti et al. . RNA-seq data of primary tumor tissues from the TNBC cohort ( n = 360, no. of genes = 23,211) were downloaded from the National Omics Data Encyclopedia ( https://www.biosino.org/node/analysis/detail/OEZ00000398 ) according to Jiang et al. .

    Article Title: Overexpression of miR-99a promoted expansion and suppressed differentiation of hematopoietic stem/progenitor cells.
    Article Snippet: RNA-seq data generated for this study are available at the National Omics Data Encyclopedia (NODE) with the accession number OEP00005662 and the link https: //w ww.bios ino .org /node/p roject /deta il/OEP00005662.

    Article Title: Tumour-wide RNA splicing aberrations generate actionable public neoantigens
    Article Snippet: Through the National Omics Data Encyclopedia, RNA-seq data can be accessed with the accession code OEP002956 for ref. .



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    86
    Omics Data Automation rna seq data
    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 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