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rna sequencing procedures  (Sangon Biotech)

 
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    Sangon Biotech rna sequencing procedures
    Rna Sequencing Procedures, supplied by Sangon Biotech, 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/sequencing+procedures/rna+sequencing/pm41844371-65-1-7
    Average 86 stars, based on 1 article reviews
    rna sequencing procedures - by Bioz Stars, 2026-10
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    Article Title: Age-dependent starch-sucrose metabolic transition during bulb development of Fritillaria unibracteata.
    Article Snippet: RNA sequencing was conducted by Sangon Biotech (Shanghai) Co., Ltd. (Shanghai, China) using samples collected from the Shenhe Agricultural Base.

    Article Title: Valorization of vegetable waste into a lactate-rich soil amendment via simultaneous saccharification and fermentation with a microbial consortium.
    Article Snippet: This is a PDF of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability.. This version will undergo additional copyediting, typesetting and review before it is published in its final form.. As such, this version is no longer the Accepted Manuscript, but it is not yet the definitive Version of Record; we are providing this early version to give early visibility of the article.

    Article Title: Smoking promotes colorectal cancer via the CKAP2L/AREG axis
    Article Snippet: Subsequently, the extracted RNA was sent to Sangon Biotech Co., Ltd. for further processing and RNA sequencing.

    Article Title: A BODIPY-based nanotheranostic suppresses osteosarcoma via dual photodynamic/photothermal action by disruption of YAP1/β-catenin Axis.
    Article Snippet: Osteosarcoma (OS), a highly aggressive bone cancer with a dismal prognosis in the metastatic setting, urgently demands novel therapeutic modalities.. While phototherapy offers a promising, minimally invasive strategy, its clinical efficacy is often hampered by the poor aqueous solubility of photosensitizers and the development of multidrug resistance.. In response, we constructed the dual-modal nanoplatform BDP-NPs by leveraging a multifunctional F127/TPGS mixed micelle to encapsulate a cationic BODIPY photosensitizer, thereby creating a system engineered for enhanced tumor accumulation and to overcome multidrug resistance.

    Article Title: Box H/ACA snoRNP regulates lipid storage through insulin signaling pathway in Drosophila melanogaster
    Article Snippet: RNA sequencing was performed by Sangon Biotech Co., Ltd. (Shanghai, China).

    RNA Sequencing:

    Article Title: Multiple-pathway cGAS-STING activation with enhanced mild photothermal therapy through glycolysis regulation for boosting gastric cancer immunotherapy
    Article Snippet: .. The MFC cells were collected after different treatments, and RNA sequencing (RNA-seq) for both groups was detected by Sangon Biotech (Shanghai). ..

    Article Title: Discovery of Novel Coumarin Derivatives as Potential Eco-Friendly Antivirals against Cucumber Mosaic Virus.
    Article Snippet: Coumarins are widely distributed natural products with diverse biological activities.. In this study, 54 novel coumarin derivatives bearing benzyl chloride and dithioacetal moieties were designed, synthesized, and evaluated for antiviral activity against cucumber mosaic virus (CMV).. Several compounds exhibited superior efficacy compared to the commercial agent ningnanmycin.

    Article Title: Hmgcs1 regulates cholesterol synthesis and promotes nerve fiber repair after spinal cord injury
    Article Snippet: .. 603 RNA sequencing 604 Total RNA from co-cultured neurons was extracted using TRIzol, and prepared for 605 RNA sequencing performed by Sangon Biotech (Shanghai, China). ..



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    Annoroad Gene Technology Co Ltd sequencing procedures
    USP18 Acts as a Key ROS-Responsive Mediator Driving Cisplatin Resistance in Ovarian Cancer. a Mechanisms and incidence of platinum resistance in ovarian cancer (Icons created with BioRender.com ). b Representative images of ROS detection using DCFH-DA probe in cisplatin-resistant and parental SKOV3 cells. Scale bar: 50 μm; GSEA analysis of ROS response genes based on transcriptome <t>sequencing</t> data in cisplatin-resistant and parental SKOV3 cells. c Representative images of ROS detection using DCFH-DA probe in SKOV3 cells treated with vehicle control, cisplatin (20 μM), or cisplatin plus NAC (10 μM) + mito-TEMPO (10 μM). Scale bar: 50 μm; Cell proliferation curves by Real-time cell analysis (RTCA) system (bottom left); LDH release assay in SKOV3 cells treated with cisplatin (20 μM) or cisplatin plus NAC (10 μM) + mito-TEMPO (10 μM) (bottom right). d Representative Immunohistochemistry (IHC) images showing pyroptosis (Cleaved-Caspase-1), apoptosis (Cleaved-Caspase-3), ferroptosis (GPX4), necroptosis (p-MLKL), and autophagy (p62) markers in cisplatin-resistant ovarian cancer PDX model (OV9419) tissues. Scale bar: 100 μm. e Protein expression levels of various cell death markers in OVCAR-3 cells treated with vehicle control, cisplatin (20 μM), or cisplatin plus NAC (10 μM) + mito-TEMPO (10 μM): pyroptosis (Cleaved-Caspase-1), apoptosis (Cleaved-Caspase-3), ferroptosis (GPX4), necroptosis (p-MLKL), and autophagy (LC3 II/LC3 I). f Schematic of DUB screening for cisplatin resistance: DUB plasmid library transfected into A2780 cells, treated with cisplatin (10 μM) after 24h, and cell viability measured by CCK8 after another 48h. Scatter plot shows relative cell viability compared to control. g Protein expression levels of USP18, USP37, and USP39 in parental and cisplatin-resistant SKOV3 cells. h Protein expression levels of USP18, USP37, and USP39 in OVCAR-3 cells treated with vehicle control, cisplatin (20 μM), or cisplatin (20 μM) plus NAC (10 μM) + mito-TEMPO (10 μM). i Protein expression levels of USP18, USP37, and USP39 in tissues from cisplatin-sensitive (n = 4) and -resistant (n = 4) ovarian cancer patients. j Analysis of USP18 expression in ovarian cancer versus normal ovarian tissues using data from The Cancer Genome Atlas (TCGA) ( www.aclbi.com ) k Survival analysis of patients with differential USP18 using data from TCGA. Analysis was performed via the KM-plotter platform ( https://kmplot.com/ ). l Representative IHC staining of USP18 shows its expression patterns in ovarian cancer tissues compared with paired adjacent tissues, and in therapy-sensitive versus resistant cases. Scale bar: 100 μm. Patients were stratified into high and low USP18 expression groups based on the median IHC score, and the distribution was compared using the Chi-squared test. m Analysis of USP18 expression in ovarian cancer patients stratified by response to platinum-based therapy using the ROC plot online platform ( https://rocplot.com/ ). n Protein expression levels of USP18 in ovarian cancer cell lines. o Cisplatin IC 50 values in ovarian cancer cell lines. p Pearson correlation analysis between USP18 protein levels (n) and cisplatin IC 50 (o). Data presented as mean ± SD. Significance calculated by unpaired two-tailed t -test (c). ∗∗P < 0.01; ∗∗∗∗P < 0.0001.
    Sequencing Procedures, supplied by Annoroad Gene Technology Co Ltd, 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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    CD32b distinguishes transcriptionally and functionally distinct GM-DC subsets derived from MDPs and GMPs. (A) Principal component analysis (PCA) of <t>bulk</t> <t>RNA-seq</t> data from GM-DCs sorted on day 7 and day 21. DCs were generated from cultures of whole bone marrow (BM), sorted MDPs, or sorted GMPs with GM-CSF. (B) Heatmap showing the expression of genes upregulated and downregulated in MDP GM-DCs at day 7, identified through Venn diagram analysis and mapped onto BM GM-DCs at both time points. (C) Volcano plot of differentially expressed genes (DEGs) between MDP GM-DCs (day 7) and GMP GM-DCs (day 21). The thresholds for significance (dotted lines) are set at a log 2 (fold change) ≥ 3 or raw p -value ≤ 10 -16 . (D) Flow cytometric validation of selected surface marker candidates identified in the volcano plot (C) . Normalized Mean fluorescence intensity (MFI) of four representative markers is shown for each DC subset. Normalized MFI was calculated by subtracting the isotype control mean fluorescence from the sample mean fluorescence, and then dividing the result by the isotype control mean. Representative histograms are shown below the bar graphs, with the isotype control overlaid in gray. Data are representative of two independent experiments.
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    CD32b distinguishes transcriptionally and functionally distinct GM-DC subsets derived from MDPs and GMPs. (A) Principal component analysis (PCA) of <t>bulk</t> <t>RNA-seq</t> data from GM-DCs sorted on day 7 and day 21. DCs were generated from cultures of whole bone marrow (BM), sorted MDPs, or sorted GMPs with GM-CSF. (B) Heatmap showing the expression of genes upregulated and downregulated in MDP GM-DCs at day 7, identified through Venn diagram analysis and mapped onto BM GM-DCs at both time points. (C) Volcano plot of differentially expressed genes (DEGs) between MDP GM-DCs (day 7) and GMP GM-DCs (day 21). The thresholds for significance (dotted lines) are set at a log 2 (fold change) ≥ 3 or raw p -value ≤ 10 -16 . (D) Flow cytometric validation of selected surface marker candidates identified in the volcano plot (C) . Normalized Mean fluorescence intensity (MFI) of four representative markers is shown for each DC subset. Normalized MFI was calculated by subtracting the isotype control mean fluorescence from the sample mean fluorescence, and then dividing the result by the isotype control mean. Representative histograms are shown below the bar graphs, with the isotype control overlaid in gray. Data are representative of two independent experiments.
    Sequencing Related Procedures, supplied by Beijing Genomics Institute Shenzhen, 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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    CD32b distinguishes transcriptionally and functionally distinct GM-DC subsets derived from MDPs and GMPs. (A) Principal component analysis (PCA) of <t>bulk</t> <t>RNA-seq</t> data from GM-DCs sorted on day 7 and day 21. DCs were generated from cultures of whole bone marrow (BM), sorted MDPs, or sorted GMPs with GM-CSF. (B) Heatmap showing the expression of genes upregulated and downregulated in MDP GM-DCs at day 7, identified through Venn diagram analysis and mapped onto BM GM-DCs at both time points. (C) Volcano plot of differentially expressed genes (DEGs) between MDP GM-DCs (day 7) and GMP GM-DCs (day 21). The thresholds for significance (dotted lines) are set at a log 2 (fold change) ≥ 3 or raw p -value ≤ 10 -16 . (D) Flow cytometric validation of selected surface marker candidates identified in the volcano plot (C) . Normalized Mean fluorescence intensity (MFI) of four representative markers is shown for each DC subset. Normalized MFI was calculated by subtracting the isotype control mean fluorescence from the sample mean fluorescence, and then dividing the result by the isotype control mean. Representative histograms are shown below the bar graphs, with the isotype control overlaid in gray. Data are representative of two independent experiments.
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    CD32b distinguishes transcriptionally and functionally distinct GM-DC subsets derived from MDPs and GMPs. (A) Principal component analysis (PCA) of <t>bulk</t> <t>RNA-seq</t> data from GM-DCs sorted on day 7 and day 21. DCs were generated from cultures of whole bone marrow (BM), sorted MDPs, or sorted GMPs with GM-CSF. (B) Heatmap showing the expression of genes upregulated and downregulated in MDP GM-DCs at day 7, identified through Venn diagram analysis and mapped onto BM GM-DCs at both time points. (C) Volcano plot of differentially expressed genes (DEGs) between MDP GM-DCs (day 7) and GMP GM-DCs (day 21). The thresholds for significance (dotted lines) are set at a log 2 (fold change) ≥ 3 or raw p -value ≤ 10 -16 . (D) Flow cytometric validation of selected surface marker candidates identified in the volcano plot (C) . Normalized Mean fluorescence intensity (MFI) of four representative markers is shown for each DC subset. Normalized MFI was calculated by subtracting the isotype control mean fluorescence from the sample mean fluorescence, and then dividing the result by the isotype control mean. Representative histograms are shown below the bar graphs, with the isotype control overlaid in gray. Data are representative of two independent experiments.
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    USP18 Acts as a Key ROS-Responsive Mediator Driving Cisplatin Resistance in Ovarian Cancer. a Mechanisms and incidence of platinum resistance in ovarian cancer (Icons created with BioRender.com ). b Representative images of ROS detection using DCFH-DA probe in cisplatin-resistant and parental SKOV3 cells. Scale bar: 50 μm; GSEA analysis of ROS response genes based on transcriptome sequencing data in cisplatin-resistant and parental SKOV3 cells. c Representative images of ROS detection using DCFH-DA probe in SKOV3 cells treated with vehicle control, cisplatin (20 μM), or cisplatin plus NAC (10 μM) + mito-TEMPO (10 μM). Scale bar: 50 μm; Cell proliferation curves by Real-time cell analysis (RTCA) system (bottom left); LDH release assay in SKOV3 cells treated with cisplatin (20 μM) or cisplatin plus NAC (10 μM) + mito-TEMPO (10 μM) (bottom right). d Representative Immunohistochemistry (IHC) images showing pyroptosis (Cleaved-Caspase-1), apoptosis (Cleaved-Caspase-3), ferroptosis (GPX4), necroptosis (p-MLKL), and autophagy (p62) markers in cisplatin-resistant ovarian cancer PDX model (OV9419) tissues. Scale bar: 100 μm. e Protein expression levels of various cell death markers in OVCAR-3 cells treated with vehicle control, cisplatin (20 μM), or cisplatin plus NAC (10 μM) + mito-TEMPO (10 μM): pyroptosis (Cleaved-Caspase-1), apoptosis (Cleaved-Caspase-3), ferroptosis (GPX4), necroptosis (p-MLKL), and autophagy (LC3 II/LC3 I). f Schematic of DUB screening for cisplatin resistance: DUB plasmid library transfected into A2780 cells, treated with cisplatin (10 μM) after 24h, and cell viability measured by CCK8 after another 48h. Scatter plot shows relative cell viability compared to control. g Protein expression levels of USP18, USP37, and USP39 in parental and cisplatin-resistant SKOV3 cells. h Protein expression levels of USP18, USP37, and USP39 in OVCAR-3 cells treated with vehicle control, cisplatin (20 μM), or cisplatin (20 μM) plus NAC (10 μM) + mito-TEMPO (10 μM). i Protein expression levels of USP18, USP37, and USP39 in tissues from cisplatin-sensitive (n = 4) and -resistant (n = 4) ovarian cancer patients. j Analysis of USP18 expression in ovarian cancer versus normal ovarian tissues using data from The Cancer Genome Atlas (TCGA) ( www.aclbi.com ) k Survival analysis of patients with differential USP18 using data from TCGA. Analysis was performed via the KM-plotter platform ( https://kmplot.com/ ). l Representative IHC staining of USP18 shows its expression patterns in ovarian cancer tissues compared with paired adjacent tissues, and in therapy-sensitive versus resistant cases. Scale bar: 100 μm. Patients were stratified into high and low USP18 expression groups based on the median IHC score, and the distribution was compared using the Chi-squared test. m Analysis of USP18 expression in ovarian cancer patients stratified by response to platinum-based therapy using the ROC plot online platform ( https://rocplot.com/ ). n Protein expression levels of USP18 in ovarian cancer cell lines. o Cisplatin IC 50 values in ovarian cancer cell lines. p Pearson correlation analysis between USP18 protein levels (n) and cisplatin IC 50 (o). Data presented as mean ± SD. Significance calculated by unpaired two-tailed t -test (c). ∗∗P < 0.01; ∗∗∗∗P < 0.0001.

    Journal: Redox Biology

    Article Title: Redox-triggered USP18 confers cisplatin resistance in ovarian cancer by selectively activating a non-canonical FSP1-dependent ferroptosis escape pathway

    doi: 10.1016/j.redox.2026.104179

    Figure Lengend Snippet: USP18 Acts as a Key ROS-Responsive Mediator Driving Cisplatin Resistance in Ovarian Cancer. a Mechanisms and incidence of platinum resistance in ovarian cancer (Icons created with BioRender.com ). b Representative images of ROS detection using DCFH-DA probe in cisplatin-resistant and parental SKOV3 cells. Scale bar: 50 μm; GSEA analysis of ROS response genes based on transcriptome sequencing data in cisplatin-resistant and parental SKOV3 cells. c Representative images of ROS detection using DCFH-DA probe in SKOV3 cells treated with vehicle control, cisplatin (20 μM), or cisplatin plus NAC (10 μM) + mito-TEMPO (10 μM). Scale bar: 50 μm; Cell proliferation curves by Real-time cell analysis (RTCA) system (bottom left); LDH release assay in SKOV3 cells treated with cisplatin (20 μM) or cisplatin plus NAC (10 μM) + mito-TEMPO (10 μM) (bottom right). d Representative Immunohistochemistry (IHC) images showing pyroptosis (Cleaved-Caspase-1), apoptosis (Cleaved-Caspase-3), ferroptosis (GPX4), necroptosis (p-MLKL), and autophagy (p62) markers in cisplatin-resistant ovarian cancer PDX model (OV9419) tissues. Scale bar: 100 μm. e Protein expression levels of various cell death markers in OVCAR-3 cells treated with vehicle control, cisplatin (20 μM), or cisplatin plus NAC (10 μM) + mito-TEMPO (10 μM): pyroptosis (Cleaved-Caspase-1), apoptosis (Cleaved-Caspase-3), ferroptosis (GPX4), necroptosis (p-MLKL), and autophagy (LC3 II/LC3 I). f Schematic of DUB screening for cisplatin resistance: DUB plasmid library transfected into A2780 cells, treated with cisplatin (10 μM) after 24h, and cell viability measured by CCK8 after another 48h. Scatter plot shows relative cell viability compared to control. g Protein expression levels of USP18, USP37, and USP39 in parental and cisplatin-resistant SKOV3 cells. h Protein expression levels of USP18, USP37, and USP39 in OVCAR-3 cells treated with vehicle control, cisplatin (20 μM), or cisplatin (20 μM) plus NAC (10 μM) + mito-TEMPO (10 μM). i Protein expression levels of USP18, USP37, and USP39 in tissues from cisplatin-sensitive (n = 4) and -resistant (n = 4) ovarian cancer patients. j Analysis of USP18 expression in ovarian cancer versus normal ovarian tissues using data from The Cancer Genome Atlas (TCGA) ( www.aclbi.com ) k Survival analysis of patients with differential USP18 using data from TCGA. Analysis was performed via the KM-plotter platform ( https://kmplot.com/ ). l Representative IHC staining of USP18 shows its expression patterns in ovarian cancer tissues compared with paired adjacent tissues, and in therapy-sensitive versus resistant cases. Scale bar: 100 μm. Patients were stratified into high and low USP18 expression groups based on the median IHC score, and the distribution was compared using the Chi-squared test. m Analysis of USP18 expression in ovarian cancer patients stratified by response to platinum-based therapy using the ROC plot online platform ( https://rocplot.com/ ). n Protein expression levels of USP18 in ovarian cancer cell lines. o Cisplatin IC 50 values in ovarian cancer cell lines. p Pearson correlation analysis between USP18 protein levels (n) and cisplatin IC 50 (o). Data presented as mean ± SD. Significance calculated by unpaired two-tailed t -test (c). ∗∗P < 0.01; ∗∗∗∗P < 0.0001.

    Article Snippet: All sequencing procedures were performed by Annoroad Gene Tech. (Beijing) Co., Ltd.

    Techniques: Sequencing, Control, Cell Analysis, Lactate Dehydrogenase Assay, Immunohistochemistry, Expressing, Plasmid Preparation, Transfection, Two Tailed Test

    Elevated ROS levels upregulate c-JUN expression, which transcriptionally activates downstream USP18 in cisplatin-resistant ovarian cancer cells. a GSEA analysis of hallmark ROS pathway genes from transcriptome sequencing in OVCAR-3 cells overexpressing USP18 plasmid and vector. b Heatmap of transcriptome sequencing expression values for ROS pathway-related genes in A2780 cells overexpressing USP18 plasmid and vector. c Differentially expressed genes in OVCAR-3 cells treated with sodium arsenite (NaAsO2, 0.5 mM) versus vehicle control. d Differentially expressed genes in SKOV3 cells treated with cisplatin (20 μM) vs vehicle control. e Venn diagram of ROS pathway-related upregulated transcription factors identified from transcriptome sequencing data in c and d. f Analysis of JUN expression in ovarian cancer patients stratified by response to platinum-based therapy using the ROC plot online platform. g Survival analysis of patients with differential JUN expression using data from TCGA. Analysis was performed via the KM-plotter platform. h Protein expression levels of c-JUN and USP18 in OVCAR-3 cells treated with vehicle control, cisplatin (20 μM), or cisplatin (20 μM) plus NAC (10 μM) + mito-TEMPO (10 μM). i Protein expression levels of c-JUN and USP18 in OVCAR-3 cells treated with vehicle control, NaAsO2 (0.5 mM), or NaAsO2(0.5 mM) plus NAC (10 μM) + mito-TEMPO (10 μM). j Cell viability measured by CCK8 assay in OVCAR-3 and A2780 cells overexpressing USP18 and treated with cisplatin (10 μM) plus NAC (10 μM) + mito-TEMPO (10 μM) k RT-qPCR analysis of USP18 mRNA expression levels in OVCAR-3 cells treated with vehicle control, cisplatin (10 μM), or cisplatin combined with c-JUN knockdown. l Schematic of predicted c-JUN binding sites in the USP18 promoter region ( https://jaspar.elixir.no/ ). m ChIP assay in CAOV3 cells validating c-JUN binding to USP18. n-p Dual-luciferase reporter assay confirming c-JUN binding and transcriptional regulation of USP18. n Schematic diagram of the dual-luciferase reporter assay. o Overexpression of c-JUN activates the USP18 promoter. OVCAR-3/CAOV3 cells were co-transfected with the USP18 promoter reporter construct and a c-JUN expression plasmid (or empty vector control). p OVCAR-3 cells transfected with the USP18 promoter reporter were treated with vehicle control, cisplatin (10 μM), or cisplatin (10 μM) combined with c-JUN knockdown (sic-JUN). Data presented as mean ± SD. Significance calculated by unpaired two-tailed t -test (j, k, m, o, p). ∗P < 0.05; ∗∗P < 0.01; ∗∗∗P < 0.001; ∗∗∗∗P < 0.0001.

    Journal: Redox Biology

    Article Title: Redox-triggered USP18 confers cisplatin resistance in ovarian cancer by selectively activating a non-canonical FSP1-dependent ferroptosis escape pathway

    doi: 10.1016/j.redox.2026.104179

    Figure Lengend Snippet: Elevated ROS levels upregulate c-JUN expression, which transcriptionally activates downstream USP18 in cisplatin-resistant ovarian cancer cells. a GSEA analysis of hallmark ROS pathway genes from transcriptome sequencing in OVCAR-3 cells overexpressing USP18 plasmid and vector. b Heatmap of transcriptome sequencing expression values for ROS pathway-related genes in A2780 cells overexpressing USP18 plasmid and vector. c Differentially expressed genes in OVCAR-3 cells treated with sodium arsenite (NaAsO2, 0.5 mM) versus vehicle control. d Differentially expressed genes in SKOV3 cells treated with cisplatin (20 μM) vs vehicle control. e Venn diagram of ROS pathway-related upregulated transcription factors identified from transcriptome sequencing data in c and d. f Analysis of JUN expression in ovarian cancer patients stratified by response to platinum-based therapy using the ROC plot online platform. g Survival analysis of patients with differential JUN expression using data from TCGA. Analysis was performed via the KM-plotter platform. h Protein expression levels of c-JUN and USP18 in OVCAR-3 cells treated with vehicle control, cisplatin (20 μM), or cisplatin (20 μM) plus NAC (10 μM) + mito-TEMPO (10 μM). i Protein expression levels of c-JUN and USP18 in OVCAR-3 cells treated with vehicle control, NaAsO2 (0.5 mM), or NaAsO2(0.5 mM) plus NAC (10 μM) + mito-TEMPO (10 μM). j Cell viability measured by CCK8 assay in OVCAR-3 and A2780 cells overexpressing USP18 and treated with cisplatin (10 μM) plus NAC (10 μM) + mito-TEMPO (10 μM) k RT-qPCR analysis of USP18 mRNA expression levels in OVCAR-3 cells treated with vehicle control, cisplatin (10 μM), or cisplatin combined with c-JUN knockdown. l Schematic of predicted c-JUN binding sites in the USP18 promoter region ( https://jaspar.elixir.no/ ). m ChIP assay in CAOV3 cells validating c-JUN binding to USP18. n-p Dual-luciferase reporter assay confirming c-JUN binding and transcriptional regulation of USP18. n Schematic diagram of the dual-luciferase reporter assay. o Overexpression of c-JUN activates the USP18 promoter. OVCAR-3/CAOV3 cells were co-transfected with the USP18 promoter reporter construct and a c-JUN expression plasmid (or empty vector control). p OVCAR-3 cells transfected with the USP18 promoter reporter were treated with vehicle control, cisplatin (10 μM), or cisplatin (10 μM) combined with c-JUN knockdown (sic-JUN). Data presented as mean ± SD. Significance calculated by unpaired two-tailed t -test (j, k, m, o, p). ∗P < 0.05; ∗∗P < 0.01; ∗∗∗P < 0.001; ∗∗∗∗P < 0.0001.

    Article Snippet: All sequencing procedures were performed by Annoroad Gene Tech. (Beijing) Co., Ltd.

    Techniques: Expressing, Sequencing, Plasmid Preparation, Control, CCK-8 Assay, Quantitative RT-PCR, Knockdown, Binding Assay, Luciferase, Reporter Assay, Over Expression, Transfection, Construct, Two Tailed Test

    CD32b distinguishes transcriptionally and functionally distinct GM-DC subsets derived from MDPs and GMPs. (A) Principal component analysis (PCA) of bulk RNA-seq data from GM-DCs sorted on day 7 and day 21. DCs were generated from cultures of whole bone marrow (BM), sorted MDPs, or sorted GMPs with GM-CSF. (B) Heatmap showing the expression of genes upregulated and downregulated in MDP GM-DCs at day 7, identified through Venn diagram analysis and mapped onto BM GM-DCs at both time points. (C) Volcano plot of differentially expressed genes (DEGs) between MDP GM-DCs (day 7) and GMP GM-DCs (day 21). The thresholds for significance (dotted lines) are set at a log 2 (fold change) ≥ 3 or raw p -value ≤ 10 -16 . (D) Flow cytometric validation of selected surface marker candidates identified in the volcano plot (C) . Normalized Mean fluorescence intensity (MFI) of four representative markers is shown for each DC subset. Normalized MFI was calculated by subtracting the isotype control mean fluorescence from the sample mean fluorescence, and then dividing the result by the isotype control mean. Representative histograms are shown below the bar graphs, with the isotype control overlaid in gray. Data are representative of two independent experiments.

    Journal: Frontiers in Immunology

    Article Title: CD32b defines distinct dendritic cell lineages generated from the culture of bone marrow with GM-CSF

    doi: 10.3389/fimmu.2026.1703978

    Figure Lengend Snippet: CD32b distinguishes transcriptionally and functionally distinct GM-DC subsets derived from MDPs and GMPs. (A) Principal component analysis (PCA) of bulk RNA-seq data from GM-DCs sorted on day 7 and day 21. DCs were generated from cultures of whole bone marrow (BM), sorted MDPs, or sorted GMPs with GM-CSF. (B) Heatmap showing the expression of genes upregulated and downregulated in MDP GM-DCs at day 7, identified through Venn diagram analysis and mapped onto BM GM-DCs at both time points. (C) Volcano plot of differentially expressed genes (DEGs) between MDP GM-DCs (day 7) and GMP GM-DCs (day 21). The thresholds for significance (dotted lines) are set at a log 2 (fold change) ≥ 3 or raw p -value ≤ 10 -16 . (D) Flow cytometric validation of selected surface marker candidates identified in the volcano plot (C) . Normalized Mean fluorescence intensity (MFI) of four representative markers is shown for each DC subset. Normalized MFI was calculated by subtracting the isotype control mean fluorescence from the sample mean fluorescence, and then dividing the result by the isotype control mean. Representative histograms are shown below the bar graphs, with the isotype control overlaid in gray. Data are representative of two independent experiments.

    Article Snippet: RNA sequencing (RNA-seq) procedure and analysis were performed by Macrogen (Seoul, Korea).

    Techniques: Derivative Assay, RNA Sequencing, Generated, Expressing, Biomarker Discovery, Marker, Fluorescence, Control