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Sequenom epityper sequenom massarray
Epityper Sequenom Massarray, supplied by Sequenom, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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DNA Methylation Assay:

Article Title: Placenta Thickness Mediates the Association Between AKIP1 Methylation in Maternal Peripheral Blood and Full-Term Small for Gestational Age Neonates
Article Snippet: .. The DNA methylation analysis of CpG in the target region of the AKIP1 gene was measured by the Sequenom MassARRAY EpiTYPER approach. ..

Article Title: Epigenetic signature: implications for mitochondrial quality control in human aging
Article Snippet: This analysis was performed by applying the Sequenom EpiTYPER technology to peripheral blood DNAs from two population samples including 381 (discovery dataset) and 468 (replication dataset) differently aged individuals, respectively. .. We analysed DNA methylation profiles using Sequenom MassARRAY EpiTYPER, a bisulphite-based technology that relies on base-specific cleavage and mass spectrometry and measures the level of methylation in amplicons containing one or more CpGs. ..

Article Title: Vascular Distribution and Expression Patterns of Angiogenic Factors in Caruncle during the Early Stage of Pregnancy in Goats ( Capra hircus ).
Article Snippet: For ANGPT2 methylation analysis, approximately 50 mg of caruncle sample was taken and isolated for genomic DNA using the TIANamp Genomic DNA Kit (TIANGEN Biotech, Beijing, China). .. We used the Sequenom MassARRAY EpiTYPER approach (Sequenom, San Diego, CA, USA) to measure the DNA methylation of CpG sites in the 5′ UTR region of the ANGPT2 gene. ..

Mass Spectrometry:

Article Title: Epigenetic signature: implications for mitochondrial quality control in human aging
Article Snippet: This analysis was performed by applying the Sequenom EpiTYPER technology to peripheral blood DNAs from two population samples including 381 (discovery dataset) and 468 (replication dataset) differently aged individuals, respectively. .. We analysed DNA methylation profiles using Sequenom MassARRAY EpiTYPER, a bisulphite-based technology that relies on base-specific cleavage and mass spectrometry and measures the level of methylation in amplicons containing one or more CpGs. ..

Methylation:

Article Title: Epigenetic signature: implications for mitochondrial quality control in human aging
Article Snippet: This analysis was performed by applying the Sequenom EpiTYPER technology to peripheral blood DNAs from two population samples including 381 (discovery dataset) and 468 (replication dataset) differently aged individuals, respectively. .. We analysed DNA methylation profiles using Sequenom MassARRAY EpiTYPER, a bisulphite-based technology that relies on base-specific cleavage and mass spectrometry and measures the level of methylation in amplicons containing one or more CpGs. ..

Article Title: Development of a novel cell-based assay system EPISSAY for screening epigenetic drugs and liposome formulated decitabine
Article Snippet: .. Using SEQUENOM MassARRAY EpiTYPER, no major changes in methylation of the CMV promoter was detected in the EPISSAY cells before and after treatments with decitabine (Additional file and ). ..

Article Title: Gestational Vitamin D Supplementation Leads to Reduced Perinatal RXRA DNA Methylation: Results From the MAVIDOS Trial.
Article Snippet: .. See the T erm s and C onditions (https://onlinelibrary.w iley.com /term s-and-conditions) on W iley O nline L ibrary for rules of use; O A articles are governed by the applicable C reative C om m ons L icense These results are consistent with our previous observational findings in the SWS, in which a negative association was found between an estimate of maternal-free 25(OH)-vitamin D and RXRA methylation at CpG 4/5,(5) measured using the Sequenom MassARRAY EpiTYPER (Sequenom Laboratories, San Diego, CA, USA). ..

Article Title: Abstracts from the XIth World DOHaD Congress
Article Snippet: .. Methods: Methylation analysis using the Sequenom MassArray EpiTyper on 17 CpGs within 205 base pairs on the CPT1B gene located in the FAO pathway (Maples, 2015) were performed on the buccal DNA of 240 children enrolled in the Peri/postnatal Epigenetics Twins Study (PETS) at birth and 18 months of age, to investigate if there are any statistical differences in methylation levels between the breastfeeding groups and childhood growth parameters associated with obesity and T2D markers. ..

Biomarker Discovery:

Article Title: Evidence for type-specific DNA methylation patterns in epilepsy: a discordant monozygotic twin approach.
Article Snippet: Namitha Mohandas1,2, Yuk Jing Loke1, Stephanie Hopkins1,7, Lisa Mackenzie3, Carmen Bennett3, Samuel F Berkovic5, Lata Vadlamudi3,4 & Jeffrey M Craig*,1,2,6 1Environmental & Genetic Epidemiology Research, Murdoch Children’s Research Institute, Royal Children’s Hospital, Flemington Road, Parkville, Victoria, Australia 2Department of Paediatrics, University of Melbourne, Flemington Road, Parkville, Victoria, Australia 3Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Queensland, Australia 4Royal Brisbane & Women’s Hospital, Queensland, Australia 5Epilepsy Research Centre, University of Melbourne, Austin Health, Victoria, Australia 6Centre for Molecular & Medical Research, School of Medicine, Deakin University, Geelong, Victoria 3220, Australia 7School of Medicine & Public Health, University of Newcastle, Newcastle, New South Wales, Australia *Author for correspondence: jeffrey.craig@deakin.edu.au

other:

Article Title: Disrupted methylation patterns at birth persist in early childhood: a prospective cohort analysis
Article Snippet: Another study performed an epigenome-wide association study (EWAS) using the Illumina Methylation 450 K BeadChip array (and target validation using the Sequenom MassArray EpiTYPER) to compare methylation differences between twelve extreme preterm birth infants (born at < 31 weeks of gestational age) and twelve term infants at birth and 18 years of age [ ].



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Summary of methods available for tumour suppressor methylation testing.
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Differential CpG methylation in association with PRSS3 transcript expression in lung cancer cells. (A) Schematic diagram of the PRSS3 gene structure. (B, C) The correlation between methylation and PRSS3 transcript expression was visualized using a distance function for heatmap cluster analysis of methylation in lung cancer cell lines (B) or in extended fragments in lung cancer tissue specimens ( n = 315) (C). In the heatmap, the columns indicate cell lines or tissue specimens. Before correlation analysis, both the transcript and DNA methylation levels of PRSS3 were renormalized with a mean = 0 and a standard deviation = 1. The statistical significance of correlation coefficients between mRNA expression of the PRSS3 transcripts and a CpGI (B) or CpG site (C) are shown at the bottom (see <xref ref-type=Fig. S9 for details). ∗ P < 0.05, ∗∗ P < 0.01. (D) MSP-qPCR analysis of PRSS3 iCpGI methylation in NSCLC cells. In vitro methylated DNA (IVD) and normal blood lymphocyte DNA (NL) served as positive and negative controls, respectively. (E) MSP-qPCR of PRSS3 iCpGI methylation frequency in tumor and adjacent tissue samples from NSCLC patients ( n = 13). The frequencies of methylation (M) and unmethylation (UM) in the samples are presented as percentages of cases. ∗∗ P < 0.01 (unpaired t test). (F, G) Quantitative analysis of CpG site methylation along the PRSS3 DMR using MassARRAY assays. The differential CpG site methylation status in PRSS3 is shown as the average methylation level (F) and a stacked line (top lane) linked to a heatmap graph (bottom lane) (G) in lung cancer cells. The regions covered by the assays are described as MassARRAY_R1, _R2 and _R3. Methylated and nonmethylated DNA from human HCT116 cells with DNMT1 and DNMT3B knockout were used as methylated and unmethylated control template DNA, respectively. An R package was used to create the cluster heatmap visualization. The constitutively methylated CpGs in the intragenic CpG island (iCpGI) are shown. (H, I) RT-qPCR analysis of the expression of PRSS3 (H) and PRSS3-V1 – V3 (I) in NSCLC cell lines treated with 5-Aza-CdR (0.5 μmol/L, 96 h). The results represent the mean ± SD (standard deviation). Differences in PRSS3 expression were analyzed using a t test (H) and are presented as the difference in mean proportion (%) for PRSS3-V1 – V3 using the R package (I). The data are representative of at least three independent experiments. The data are shown as the mean ± SD. ∗ P < 0.05, ∗∗ P < 0.01. (J) MassARRAY monitoring the alteration in PRSS3 iCpGI methylation in NSCLC cells upon 5-Aza-CdR treatment (5 μmol/L, 96 h). " width="250" height="auto" />
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Differential CpG methylation in association with PRSS3 transcript expression in lung cancer cells. (A) Schematic diagram of the PRSS3 gene structure. (B, C) The correlation between methylation and PRSS3 transcript expression was visualized using a distance function for heatmap cluster analysis of methylation in lung cancer cell lines (B) or in extended fragments in lung cancer tissue specimens ( n = 315) (C). In the heatmap, the columns indicate cell lines or tissue specimens. Before correlation analysis, both the transcript and DNA methylation levels of PRSS3 were renormalized with a mean = 0 and a standard deviation = 1. The statistical significance of correlation coefficients between mRNA expression of the PRSS3 transcripts and a CpGI (B) or CpG site (C) are shown at the bottom (see <xref ref-type=Fig. S9 for details). ∗ P < 0.05, ∗∗ P < 0.01. (D) MSP-qPCR analysis of PRSS3 iCpGI methylation in NSCLC cells. In vitro methylated DNA (IVD) and normal blood lymphocyte DNA (NL) served as positive and negative controls, respectively. (E) MSP-qPCR of PRSS3 iCpGI methylation frequency in tumor and adjacent tissue samples from NSCLC patients ( n = 13). The frequencies of methylation (M) and unmethylation (UM) in the samples are presented as percentages of cases. ∗∗ P < 0.01 (unpaired t test). (F, G) Quantitative analysis of CpG site methylation along the PRSS3 DMR using MassARRAY assays. The differential CpG site methylation status in PRSS3 is shown as the average methylation level (F) and a stacked line (top lane) linked to a heatmap graph (bottom lane) (G) in lung cancer cells. The regions covered by the assays are described as MassARRAY_R1, _R2 and _R3. Methylated and nonmethylated DNA from human HCT116 cells with DNMT1 and DNMT3B knockout were used as methylated and unmethylated control template DNA, respectively. An R package was used to create the cluster heatmap visualization. The constitutively methylated CpGs in the intragenic CpG island (iCpGI) are shown. (H, I) RT-qPCR analysis of the expression of PRSS3 (H) and PRSS3-V1 – V3 (I) in NSCLC cell lines treated with 5-Aza-CdR (0.5 μmol/L, 96 h). The results represent the mean ± SD (standard deviation). Differences in PRSS3 expression were analyzed using a t test (H) and are presented as the difference in mean proportion (%) for PRSS3-V1 – V3 using the R package (I). The data are representative of at least three independent experiments. The data are shown as the mean ± SD. ∗ P < 0.05, ∗∗ P < 0.01. (J) MassARRAY monitoring the alteration in PRSS3 iCpGI methylation in NSCLC cells upon 5-Aza-CdR treatment (5 μmol/L, 96 h). " width="250" height="auto" />
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Summary of methods available for tumour suppressor methylation testing.

Journal: Therapeutic Advances in Medical Oncology

Article Title: The role of aberrant DNA methylation in cancer initiation and clinical impacts

doi: 10.1177/17588359231220511

Figure Lengend Snippet: Summary of methods available for tumour suppressor methylation testing.

Article Snippet: Sequenom MassARRAY (EpiTYPER) , Bisulphite DNA , PCR of bisulphite DNA followed by base-specific cleavage and MALDI-TOF , High-throughput, (semi-) quantitative analysis of multiple CpG sites , Only average methylation level per CpG position.

Techniques: Methylation, Nucleic Acid Electrophoresis, DNA Methylation Assay, Amplification, Electrophoresis, Denaturing Gradient Gel Electrophoresis, High Performance Liquid Chromatography, Binding Assay, Radioactivity, Fluorescence, Combined Bisulfite Restriction Analysis Assay, Sequencing, Multiplexing, Microarray, Genome Wide, Bisulfite Sequencing, Nanopore Sequencing, Sampling, Methylated DNA Immunoprecipitation, Immunoprecipitation

Differential CpG methylation in association with PRSS3 transcript expression in lung cancer cells. (A) Schematic diagram of the PRSS3 gene structure. (B, C) The correlation between methylation and PRSS3 transcript expression was visualized using a distance function for heatmap cluster analysis of methylation in lung cancer cell lines (B) or in extended fragments in lung cancer tissue specimens ( n = 315) (C). In the heatmap, the columns indicate cell lines or tissue specimens. Before correlation analysis, both the transcript and DNA methylation levels of PRSS3 were renormalized with a mean = 0 and a standard deviation = 1. The statistical significance of correlation coefficients between mRNA expression of the PRSS3 transcripts and a CpGI (B) or CpG site (C) are shown at the bottom (see <xref ref-type=Fig. S9 for details). ∗ P < 0.05, ∗∗ P < 0.01. (D) MSP-qPCR analysis of PRSS3 iCpGI methylation in NSCLC cells. In vitro methylated DNA (IVD) and normal blood lymphocyte DNA (NL) served as positive and negative controls, respectively. (E) MSP-qPCR of PRSS3 iCpGI methylation frequency in tumor and adjacent tissue samples from NSCLC patients ( n = 13). The frequencies of methylation (M) and unmethylation (UM) in the samples are presented as percentages of cases. ∗∗ P < 0.01 (unpaired t test). (F, G) Quantitative analysis of CpG site methylation along the PRSS3 DMR using MassARRAY assays. The differential CpG site methylation status in PRSS3 is shown as the average methylation level (F) and a stacked line (top lane) linked to a heatmap graph (bottom lane) (G) in lung cancer cells. The regions covered by the assays are described as MassARRAY_R1, _R2 and _R3. Methylated and nonmethylated DNA from human HCT116 cells with DNMT1 and DNMT3B knockout were used as methylated and unmethylated control template DNA, respectively. An R package was used to create the cluster heatmap visualization. The constitutively methylated CpGs in the intragenic CpG island (iCpGI) are shown. (H, I) RT-qPCR analysis of the expression of PRSS3 (H) and PRSS3-V1 – V3 (I) in NSCLC cell lines treated with 5-Aza-CdR (0.5 μmol/L, 96 h). The results represent the mean ± SD (standard deviation). Differences in PRSS3 expression were analyzed using a t test (H) and are presented as the difference in mean proportion (%) for PRSS3-V1 – V3 using the R package (I). The data are representative of at least three independent experiments. The data are shown as the mean ± SD. ∗ P < 0.05, ∗∗ P < 0.01. (J) MassARRAY monitoring the alteration in PRSS3 iCpGI methylation in NSCLC cells upon 5-Aza-CdR treatment (5 μmol/L, 96 h). " width="100%" height="100%">

Journal: Acta Pharmaceutica Sinica. B

Article Title: UHRF1/DNMT1–MZF1 axis-modulated intragenic site-specific CpGI methylation confers divergent expression and opposing functions of PRSS3 isoforms in lung cancer

doi: 10.1016/j.apsb.2023.02.015

Figure Lengend Snippet: Differential CpG methylation in association with PRSS3 transcript expression in lung cancer cells. (A) Schematic diagram of the PRSS3 gene structure. (B, C) The correlation between methylation and PRSS3 transcript expression was visualized using a distance function for heatmap cluster analysis of methylation in lung cancer cell lines (B) or in extended fragments in lung cancer tissue specimens ( n = 315) (C). In the heatmap, the columns indicate cell lines or tissue specimens. Before correlation analysis, both the transcript and DNA methylation levels of PRSS3 were renormalized with a mean = 0 and a standard deviation = 1. The statistical significance of correlation coefficients between mRNA expression of the PRSS3 transcripts and a CpGI (B) or CpG site (C) are shown at the bottom (see Fig. S9 for details). ∗ P < 0.05, ∗∗ P < 0.01. (D) MSP-qPCR analysis of PRSS3 iCpGI methylation in NSCLC cells. In vitro methylated DNA (IVD) and normal blood lymphocyte DNA (NL) served as positive and negative controls, respectively. (E) MSP-qPCR of PRSS3 iCpGI methylation frequency in tumor and adjacent tissue samples from NSCLC patients ( n = 13). The frequencies of methylation (M) and unmethylation (UM) in the samples are presented as percentages of cases. ∗∗ P < 0.01 (unpaired t test). (F, G) Quantitative analysis of CpG site methylation along the PRSS3 DMR using MassARRAY assays. The differential CpG site methylation status in PRSS3 is shown as the average methylation level (F) and a stacked line (top lane) linked to a heatmap graph (bottom lane) (G) in lung cancer cells. The regions covered by the assays are described as MassARRAY_R1, _R2 and _R3. Methylated and nonmethylated DNA from human HCT116 cells with DNMT1 and DNMT3B knockout were used as methylated and unmethylated control template DNA, respectively. An R package was used to create the cluster heatmap visualization. The constitutively methylated CpGs in the intragenic CpG island (iCpGI) are shown. (H, I) RT-qPCR analysis of the expression of PRSS3 (H) and PRSS3-V1 – V3 (I) in NSCLC cell lines treated with 5-Aza-CdR (0.5 μmol/L, 96 h). The results represent the mean ± SD (standard deviation). Differences in PRSS3 expression were analyzed using a t test (H) and are presented as the difference in mean proportion (%) for PRSS3-V1 – V3 using the R package (I). The data are representative of at least three independent experiments. The data are shown as the mean ± SD. ∗ P < 0.05, ∗∗ P < 0.01. (J) MassARRAY monitoring the alteration in PRSS3 iCpGI methylation in NSCLC cells upon 5-Aza-CdR treatment (5 μmol/L, 96 h).

Article Snippet: MassARRAY EpiTYPER (Sequenom) was used for data analysis to generate quantitative results for each CpG site or an aggregate of the results for multiple CpG sites.

Techniques: CpG Methylation Assay, Expressing, Methylation, DNA Methylation Assay, Standard Deviation, In Vitro, Knock-Out, Control, Quantitative RT-PCR

Regulation of PRSS3 transcripts by the UHRF1/DNMT1 complex. (A) The expression of DNMTs (DNMT1, DNMT3A and DNMT3B) in NSCLC cells was analyzed using RT-qPCR and Western blotting. (B) Schematic representation of part of PRSS3 gene with marked positions of primers for MeDIP-qPCR/ChIP-qPCR and MassARRY assay. (C) MeDIP-qPCR analysis of anti-5-mC-enriched DNA fragments associated with PRSS3 in A549 cells stably transfected with DNMT1 (left panel) and in NCI-H460 cells with DNMT1 knockdown or 5-Aza-CdR treatment (0.5 μmol/L, 96 h) (right panel). Specific enrichment is presented as the percentage of the input (% of input). (D) MassARRAY analysis of PRSS3 iCpGIm. (E) RT-qPCR and Western blot analysis of UHRF1 expression in NSCLC cells. (F) Western blot of DNMT1 levels following UHRF1 overexpression in A549 cells. (G) A ChIP assay with an anti-UHRF1 antibody was performed on UHRF1 -overexpressing A549 cells. Immunoprecipitated genomic DNA was analyzed using qPCR specific for PRSS3 iCpGI. Specific enrichment is presented as the percentage of the input (% of input). (H) ChIP-qPCR analysis of DNA fragments enriched by anti-DNMT1 or anti-UHRF1 antibody and associated with PRSS3 iCpGI in A549 cells with DNMT1 overexpression (left panel) and NCI-H460 cells with DNMT1 knockdown (right panel). (I) The mRNA levels of PRSS3 transcripts in stable DNMT1- overexpressing A549 cells and DNMT1 -knockdown H460 cells. (J, K) Western blot (J) and immunofluorescence (K) analyses of the expression of the PRSS3 isoforms following UHRF1 transfection in A549 cells. DAPI-stained nuclei are shown in blue. Scale bar: 1 μm. The data are representative of at least three independent experiments. The data are shown as the mean ± SD. ∗ P < 0.05 and ∗∗ P < 0.01 indicate significant differences from the control by t test.

Journal: Acta Pharmaceutica Sinica. B

Article Title: UHRF1/DNMT1–MZF1 axis-modulated intragenic site-specific CpGI methylation confers divergent expression and opposing functions of PRSS3 isoforms in lung cancer

doi: 10.1016/j.apsb.2023.02.015

Figure Lengend Snippet: Regulation of PRSS3 transcripts by the UHRF1/DNMT1 complex. (A) The expression of DNMTs (DNMT1, DNMT3A and DNMT3B) in NSCLC cells was analyzed using RT-qPCR and Western blotting. (B) Schematic representation of part of PRSS3 gene with marked positions of primers for MeDIP-qPCR/ChIP-qPCR and MassARRY assay. (C) MeDIP-qPCR analysis of anti-5-mC-enriched DNA fragments associated with PRSS3 in A549 cells stably transfected with DNMT1 (left panel) and in NCI-H460 cells with DNMT1 knockdown or 5-Aza-CdR treatment (0.5 μmol/L, 96 h) (right panel). Specific enrichment is presented as the percentage of the input (% of input). (D) MassARRAY analysis of PRSS3 iCpGIm. (E) RT-qPCR and Western blot analysis of UHRF1 expression in NSCLC cells. (F) Western blot of DNMT1 levels following UHRF1 overexpression in A549 cells. (G) A ChIP assay with an anti-UHRF1 antibody was performed on UHRF1 -overexpressing A549 cells. Immunoprecipitated genomic DNA was analyzed using qPCR specific for PRSS3 iCpGI. Specific enrichment is presented as the percentage of the input (% of input). (H) ChIP-qPCR analysis of DNA fragments enriched by anti-DNMT1 or anti-UHRF1 antibody and associated with PRSS3 iCpGI in A549 cells with DNMT1 overexpression (left panel) and NCI-H460 cells with DNMT1 knockdown (right panel). (I) The mRNA levels of PRSS3 transcripts in stable DNMT1- overexpressing A549 cells and DNMT1 -knockdown H460 cells. (J, K) Western blot (J) and immunofluorescence (K) analyses of the expression of the PRSS3 isoforms following UHRF1 transfection in A549 cells. DAPI-stained nuclei are shown in blue. Scale bar: 1 μm. The data are representative of at least three independent experiments. The data are shown as the mean ± SD. ∗ P < 0.05 and ∗∗ P < 0.01 indicate significant differences from the control by t test.

Article Snippet: MassARRAY EpiTYPER (Sequenom) was used for data analysis to generate quantitative results for each CpG site or an aggregate of the results for multiple CpG sites.

Techniques: Expressing, Quantitative RT-PCR, Western Blot, Methylated DNA Immunoprecipitation, ChIP-qPCR, Stable Transfection, Transfection, Knockdown, Over Expression, Immunoprecipitation, Immunofluorescence, Staining, Control

DATS interacted with 5-Aza-CdR to regulate PRSS3 expression via site-specific iCpGI methylation. (A) A549 cells were treated with different concentrations of diallyl trisulfide (DATS, 12.5, 25 and 50 μmol/L). Cell proliferation and migration were measured using MTT (left panel), colony formation (middle panel) and Transwell (right panel) assays, with quantification data presented in the top panels and representative images in the bottom panels. (B) The expression of PRSS3-SVs in NSCLC cells treated with different concentrations of DATS was analyzed by RT-qPCR (left panel) and Western blotting (right panel). (C) RT-qPCR results (left panel) and Western blot (right panel) showing the expression of DNMTs (DNMT1, DNMT3A and DNMT3B) in NSCLC cells treated with different concentrations of DATS. (D) PRSS3 iCpGI association with UHRF1/DNMT1 in A549 cells upon 50 μmol/L DATS treatment was measured by ChIP-qPCR using anti-DNMT1 or anti-UHRF1 antibody. (E) The enrichment of methylated PRSS3 iCpGI fragments in A549 cells after 50 μmol/L DATS treatment was analyzed by MeDIP-qPCR using an anti-5mC antibody. (F) A549 cells were treated with 50 μmol/L DATS for 12 h and then transfected with PRSS3-SVs ( PRSS3-V1 – V3 ). MTT and Transwell assays were used to examine cell proliferation and migration (top: quantification data; bottom: representative images). (G–I) A549 cells were treated with DATS (50 μmol/L) combined with 5-Aza-CdR (0.5 μmol/L) or transfected with MZF1 L . MTT and Transwell assays were conducted to monitor cell proliferation and migration ( top : quantification data; bottom : representative images) (G). The expression of MZF1 L and PRSS3-V3 was analyzed by RT-qPCR (left panel) and Western blotting (right panel) (H). ChIP-qPCR analysis of PRSS3 iCpGI genomic DNA enriched by anti-MZF1 antibody (I). (J–K). Summary table showing CpG site-specific methylation status in PRSS3 iCpGI quantitatively measured with a MassARRAY assay. Red fronts: hypermethylation; black fronts: hypomethylation (J). Ranking analysis of the demethylation efficiency of DATS/5-Aza-CdR in lung cancer cells (K). (L) A549 cells ectopically expressing MZF1 L or vector control were transplanted subcutaneously into the left and right flanks of nude mice ( n = 2 flanks × 4 mice in each group). Eight days after implantation of A549 cells, the mice were treated with DATS (i.p., 20 mg/kg) and/or 5-Aza-CdR (i.p., 0.5 mg/kg) or saline once per week. Left panel : tumor volumes in tumor-bearing mice measured at the indicated time points. Middle panel : Images of A549 xenograft tumors dissected from nude mice on Day 32. Right panel : Body weights of the mice. P values were calculated via one-way ANOVA with Tukey's post hoc test. The data are representative of at least three independent experiments. The data are shown as the mean ± SD. ∗ P < 0.05 and ∗∗ P < 0.01 indicate significant differences from the control, NS, no significance.

Journal: Acta Pharmaceutica Sinica. B

Article Title: UHRF1/DNMT1–MZF1 axis-modulated intragenic site-specific CpGI methylation confers divergent expression and opposing functions of PRSS3 isoforms in lung cancer

doi: 10.1016/j.apsb.2023.02.015

Figure Lengend Snippet: DATS interacted with 5-Aza-CdR to regulate PRSS3 expression via site-specific iCpGI methylation. (A) A549 cells were treated with different concentrations of diallyl trisulfide (DATS, 12.5, 25 and 50 μmol/L). Cell proliferation and migration were measured using MTT (left panel), colony formation (middle panel) and Transwell (right panel) assays, with quantification data presented in the top panels and representative images in the bottom panels. (B) The expression of PRSS3-SVs in NSCLC cells treated with different concentrations of DATS was analyzed by RT-qPCR (left panel) and Western blotting (right panel). (C) RT-qPCR results (left panel) and Western blot (right panel) showing the expression of DNMTs (DNMT1, DNMT3A and DNMT3B) in NSCLC cells treated with different concentrations of DATS. (D) PRSS3 iCpGI association with UHRF1/DNMT1 in A549 cells upon 50 μmol/L DATS treatment was measured by ChIP-qPCR using anti-DNMT1 or anti-UHRF1 antibody. (E) The enrichment of methylated PRSS3 iCpGI fragments in A549 cells after 50 μmol/L DATS treatment was analyzed by MeDIP-qPCR using an anti-5mC antibody. (F) A549 cells were treated with 50 μmol/L DATS for 12 h and then transfected with PRSS3-SVs ( PRSS3-V1 – V3 ). MTT and Transwell assays were used to examine cell proliferation and migration (top: quantification data; bottom: representative images). (G–I) A549 cells were treated with DATS (50 μmol/L) combined with 5-Aza-CdR (0.5 μmol/L) or transfected with MZF1 L . MTT and Transwell assays were conducted to monitor cell proliferation and migration ( top : quantification data; bottom : representative images) (G). The expression of MZF1 L and PRSS3-V3 was analyzed by RT-qPCR (left panel) and Western blotting (right panel) (H). ChIP-qPCR analysis of PRSS3 iCpGI genomic DNA enriched by anti-MZF1 antibody (I). (J–K). Summary table showing CpG site-specific methylation status in PRSS3 iCpGI quantitatively measured with a MassARRAY assay. Red fronts: hypermethylation; black fronts: hypomethylation (J). Ranking analysis of the demethylation efficiency of DATS/5-Aza-CdR in lung cancer cells (K). (L) A549 cells ectopically expressing MZF1 L or vector control were transplanted subcutaneously into the left and right flanks of nude mice ( n = 2 flanks × 4 mice in each group). Eight days after implantation of A549 cells, the mice were treated with DATS (i.p., 20 mg/kg) and/or 5-Aza-CdR (i.p., 0.5 mg/kg) or saline once per week. Left panel : tumor volumes in tumor-bearing mice measured at the indicated time points. Middle panel : Images of A549 xenograft tumors dissected from nude mice on Day 32. Right panel : Body weights of the mice. P values were calculated via one-way ANOVA with Tukey's post hoc test. The data are representative of at least three independent experiments. The data are shown as the mean ± SD. ∗ P < 0.05 and ∗∗ P < 0.01 indicate significant differences from the control, NS, no significance.

Article Snippet: MassARRAY EpiTYPER (Sequenom) was used for data analysis to generate quantitative results for each CpG site or an aggregate of the results for multiple CpG sites.

Techniques: Expressing, Methylation, Migration, Quantitative RT-PCR, Western Blot, ChIP-qPCR, Methylated DNA Immunoprecipitation, Transfection, Plasmid Preparation, Control, Saline