quantitative allele-specific pyrosequencing Search Results


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a Bar plot showing the ratio for the observed relative to the expected overlap of reactivated, full escape and late-silenced genes with high-confidence NDD genes. For reactivated genes, an intriguing accumulation of NDD genes was observed (1.43 times more than expected; P = 6.72 × 10 −3 ). P- values were determined by the cumulative distribution function. b Immunostaining of organoid sections of the different experimental lines showing SOX2 (white) and MAP2 (magenta). Scale bars = 500 µm. c Box and jitter plots showing the quantification of the fraction of MAP2 in neural tissue (SOX2 + MAP2+ area) on d30 (M-ctrl, n = 36; M-OS/het, n = 39; M-OS/male, n = 34; M-OS/maleR, n = 25; J-ctrl, n = 9; J-OS/het, n = 13; J-OS/hom, n = 13; exact P values (top to bottom): 0.03, 9.7 × 10 −13 , 2.4 × 10 −9 , <2.2 × 10 −16 , 8.1 × 10 −9 , 7.9 × 10 −4 , 4.0 × 10 −6 , 4.3 × 10 −3 ). d Box and jitter plots showing the quantification of the fraction of MAP2 in neural tissue (SOX2 + MAP2+ area) on d30 in the XIST expressing A-lines (A-ctrl, n = 15; A-OS/het, n = 29; A-OS/hom, n = 28; exact P values (top to bottom): 0.035, 8 × 10 −5 , 0.032). For c , d boxplots show median, quartiles (box), and range (whiskers). In the jitter plots dots represent individual organoids. Two-sided Wilcoxon rank sum test; *P < 0.05, **P < 0.01, ***P < 0.001, ns P > 0.05. <t>e</t> <t>Allele-specific</t> RT-PCR revealing reactivation (*) of the inactive MID1 allele in brain organoids derived from the M-lines. f Reactivation (*) of the inactive MID1 allele in brain organoids derived from the J-lines as revealed by allele-specific RT-PCR. g Reactivation (*) of the inactive MID1 allele in brain organoids derived from the A-liness as revealed by allele-specific RT-PCR. Source data are provided as a file.
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a Bar plot showing the ratio for the observed relative to the expected overlap of reactivated, full escape and late-silenced genes with high-confidence NDD genes. For reactivated genes, an intriguing accumulation of NDD genes was observed (1.43 times more than expected; P = 6.72 × 10 −3 ). P- values were determined by the cumulative distribution function. b Immunostaining of organoid sections of the different experimental lines showing SOX2 (white) and MAP2 (magenta). Scale bars = 500 µm. c Box and jitter plots showing the quantification of the fraction of MAP2 in neural tissue (SOX2 + MAP2+ area) on d30 (M-ctrl, n = 36; M-OS/het, n = 39; M-OS/male, n = 34; M-OS/maleR, n = 25; J-ctrl, n = 9; J-OS/het, n = 13; J-OS/hom, n = 13; exact P values (top to bottom): 0.03, 9.7 × 10 −13 , 2.4 × 10 −9 , <2.2 × 10 −16 , 8.1 × 10 −9 , 7.9 × 10 −4 , 4.0 × 10 −6 , 4.3 × 10 −3 ). d Box and jitter plots showing the quantification of the fraction of MAP2 in neural tissue (SOX2 + MAP2+ area) on d30 in the XIST expressing A-lines (A-ctrl, n = 15; A-OS/het, n = 29; A-OS/hom, n = 28; exact P values (top to bottom): 0.035, 8 × 10 −5 , 0.032). For c , d boxplots show median, quartiles (box), and range (whiskers). In the jitter plots dots represent individual organoids. Two-sided Wilcoxon rank sum test; *P < 0.05, **P < 0.01, ***P < 0.001, ns P > 0.05. <t>e</t> <t>Allele-specific</t> RT-PCR revealing reactivation (*) of the inactive MID1 allele in brain organoids derived from the M-lines. f Reactivation (*) of the inactive MID1 allele in brain organoids derived from the J-lines as revealed by allele-specific RT-PCR. g Reactivation (*) of the inactive MID1 allele in brain organoids derived from the A-liness as revealed by allele-specific RT-PCR. Source data are provided as a file.
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a Bar plot showing the ratio for the observed relative to the expected overlap of reactivated, full escape and late-silenced genes with high-confidence NDD genes. For reactivated genes, an intriguing accumulation of NDD genes was observed (1.43 times more than expected; P = 6.72 × 10 −3 ). P- values were determined by the cumulative distribution function. b Immunostaining of organoid sections of the different experimental lines showing SOX2 (white) and MAP2 (magenta). Scale bars = 500 µm. c Box and jitter plots showing the quantification of the fraction of MAP2 in neural tissue (SOX2 + MAP2+ area) on d30 (M-ctrl, n = 36; M-OS/het, n = 39; M-OS/male, n = 34; M-OS/maleR, n = 25; J-ctrl, n = 9; J-OS/het, n = 13; J-OS/hom, n = 13; exact P values (top to bottom): 0.03, 9.7 × 10 −13 , 2.4 × 10 −9 , <2.2 × 10 −16 , 8.1 × 10 −9 , 7.9 × 10 −4 , 4.0 × 10 −6 , 4.3 × 10 −3 ). d Box and jitter plots showing the quantification of the fraction of MAP2 in neural tissue (SOX2 + MAP2+ area) on d30 in the XIST expressing A-lines (A-ctrl, n = 15; A-OS/het, n = 29; A-OS/hom, n = 28; exact P values (top to bottom): 0.035, 8 × 10 −5 , 0.032). For c , d boxplots show median, quartiles (box), and range (whiskers). In the jitter plots dots represent individual organoids. Two-sided Wilcoxon rank sum test; *P < 0.05, **P < 0.01, ***P < 0.001, ns P > 0.05. <t>e</t> <t>Allele-specific</t> RT-PCR revealing reactivation (*) of the inactive MID1 allele in brain organoids derived from the M-lines. f Reactivation (*) of the inactive MID1 allele in brain organoids derived from the J-lines as revealed by allele-specific RT-PCR. g Reactivation (*) of the inactive MID1 allele in brain organoids derived from the A-liness as revealed by allele-specific RT-PCR. Source data are provided as a file.
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a Bar plot showing the ratio for the observed relative to the expected overlap of reactivated, full escape and late-silenced genes with high-confidence NDD genes. For reactivated genes, an intriguing accumulation of NDD genes was observed (1.43 times more than expected; P = 6.72 × 10 −3 ). P- values were determined by the cumulative distribution function. b Immunostaining of organoid sections of the different experimental lines showing SOX2 (white) and MAP2 (magenta). Scale bars = 500 µm. c Box and jitter plots showing the quantification of the fraction of MAP2 in neural tissue (SOX2 + MAP2+ area) on d30 (M-ctrl, n = 36; M-OS/het, n = 39; M-OS/male, n = 34; M-OS/maleR, n = 25; J-ctrl, n = 9; J-OS/het, n = 13; J-OS/hom, n = 13; exact P values (top to bottom): 0.03, 9.7 × 10 −13 , 2.4 × 10 −9 , <2.2 × 10 −16 , 8.1 × 10 −9 , 7.9 × 10 −4 , 4.0 × 10 −6 , 4.3 × 10 −3 ). d Box and jitter plots showing the quantification of the fraction of MAP2 in neural tissue (SOX2 + MAP2+ area) on d30 in the XIST expressing A-lines (A-ctrl, n = 15; A-OS/het, n = 29; A-OS/hom, n = 28; exact P values (top to bottom): 0.035, 8 × 10 −5 , 0.032). For c , d boxplots show median, quartiles (box), and range (whiskers). In the jitter plots dots represent individual organoids. Two-sided Wilcoxon rank sum test; *P < 0.05, **P < 0.01, ***P < 0.001, ns P > 0.05. <t>e</t> <t>Allele-specific</t> RT-PCR revealing reactivation (*) of the inactive MID1 allele in brain organoids derived from the M-lines. f Reactivation (*) of the inactive MID1 allele in brain organoids derived from the J-lines as revealed by allele-specific RT-PCR. g Reactivation (*) of the inactive MID1 allele in brain organoids derived from the A-liness as revealed by allele-specific RT-PCR. Source data are provided as a file.
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ACGT Inc kgn cells
Bar graph and box‐and‐whisker plots are presented, which show the allelic proportions of WT FOXL2 mRNA and 402C> G FOXL2 mRNA <t>in</t> <t>AGCT</t> tissues from 46 patients analyzed by pyrosequencing. The box plot represents the minimum value, first quartile, median, third quartile, and maximum value of a data set. X‐axis indicates mRNAs of WT FOXL2 and 402C>G FOXL2 . The whiskers extend to the most extreme data points not considered outliers, and the outliers are represented as dots. Comparisons between groups were performed using Student’s t ‐test, and P values are presented. The relative abundances of WT and variant FOXL2 mRNA were analyzed in <t>KGN</t> and COV434 cells by pyrosequencing (left graph), allele‐specific RT–PCR (middle graph), and real‐time RT–PCR (right graph). gDNA was detected as a positive control. The relative abundances of the variant FOXL2 mRNA were normalized to that of WT mRNA (set to 1). FOXL2 mRNA levels detected by real‐time RT–PCR were normalized to matching gDNA levels. The pyrosequencing data are presented from two independent experiments. The allele‐specific semi‐quantitative and real‐time RT–PCR data are presented as the mean ± SEM from three independent experiments. The P values were analyzed by unpaired, two‐tailed Student’s t ‐test (*** P < 0.001). n.d. not detected. RNA‐decay rates of WT and 402C>G FOXL2 mRNAs in KGN cells were determined after treatment with 5 µg/ml ActD for the indicated times. The estimated half‐lives of each transcript are presented. The data are presented as the mean ± SEM from three independent experiments. Source data are available online for this figure.
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Sequenom direct dna sequencing
Bar graph and box‐and‐whisker plots are presented, which show the allelic proportions of WT FOXL2 mRNA and 402C> G FOXL2 mRNA <t>in</t> <t>AGCT</t> tissues from 46 patients analyzed by pyrosequencing. The box plot represents the minimum value, first quartile, median, third quartile, and maximum value of a data set. X‐axis indicates mRNAs of WT FOXL2 and 402C>G FOXL2 . The whiskers extend to the most extreme data points not considered outliers, and the outliers are represented as dots. Comparisons between groups were performed using Student’s t ‐test, and P values are presented. The relative abundances of WT and variant FOXL2 mRNA were analyzed in <t>KGN</t> and COV434 cells by pyrosequencing (left graph), allele‐specific RT–PCR (middle graph), and real‐time RT–PCR (right graph). gDNA was detected as a positive control. The relative abundances of the variant FOXL2 mRNA were normalized to that of WT mRNA (set to 1). FOXL2 mRNA levels detected by real‐time RT–PCR were normalized to matching gDNA levels. The pyrosequencing data are presented from two independent experiments. The allele‐specific semi‐quantitative and real‐time RT–PCR data are presented as the mean ± SEM from three independent experiments. The P values were analyzed by unpaired, two‐tailed Student’s t ‐test (*** P < 0.001). n.d. not detected. RNA‐decay rates of WT and 402C>G FOXL2 mRNAs in KGN cells were determined after treatment with 5 µg/ml ActD for the indicated times. The estimated half‐lives of each transcript are presented. The data are presented as the mean ± SEM from three independent experiments. Source data are available online for this figure.
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BIOTAGE allele quantification software
Bar graph and box‐and‐whisker plots are presented, which show the allelic proportions of WT FOXL2 mRNA and 402C> G FOXL2 mRNA <t>in</t> <t>AGCT</t> tissues from 46 patients analyzed by pyrosequencing. The box plot represents the minimum value, first quartile, median, third quartile, and maximum value of a data set. X‐axis indicates mRNAs of WT FOXL2 and 402C>G FOXL2 . The whiskers extend to the most extreme data points not considered outliers, and the outliers are represented as dots. Comparisons between groups were performed using Student’s t ‐test, and P values are presented. The relative abundances of WT and variant FOXL2 mRNA were analyzed in <t>KGN</t> and COV434 cells by pyrosequencing (left graph), allele‐specific RT–PCR (middle graph), and real‐time RT–PCR (right graph). gDNA was detected as a positive control. The relative abundances of the variant FOXL2 mRNA were normalized to that of WT mRNA (set to 1). FOXL2 mRNA levels detected by real‐time RT–PCR were normalized to matching gDNA levels. The pyrosequencing data are presented from two independent experiments. The allele‐specific semi‐quantitative and real‐time RT–PCR data are presented as the mean ± SEM from three independent experiments. The P values were analyzed by unpaired, two‐tailed Student’s t ‐test (*** P < 0.001). n.d. not detected. RNA‐decay rates of WT and 402C>G FOXL2 mRNAs in KGN cells were determined after treatment with 5 µg/ml ActD for the indicated times. The estimated half‐lives of each transcript are presented. The data are presented as the mean ± SEM from three independent experiments. Source data are available online for this figure.
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Bar graph and box‐and‐whisker plots are presented, which show the allelic proportions of WT FOXL2 mRNA and 402C> G FOXL2 mRNA <t>in</t> <t>AGCT</t> tissues from 46 patients analyzed by pyrosequencing. The box plot represents the minimum value, first quartile, median, third quartile, and maximum value of a data set. X‐axis indicates mRNAs of WT FOXL2 and 402C>G FOXL2 . The whiskers extend to the most extreme data points not considered outliers, and the outliers are represented as dots. Comparisons between groups were performed using Student’s t ‐test, and P values are presented. The relative abundances of WT and variant FOXL2 mRNA were analyzed in <t>KGN</t> and COV434 cells by pyrosequencing (left graph), allele‐specific RT–PCR (middle graph), and real‐time RT–PCR (right graph). gDNA was detected as a positive control. The relative abundances of the variant FOXL2 mRNA were normalized to that of WT mRNA (set to 1). FOXL2 mRNA levels detected by real‐time RT–PCR were normalized to matching gDNA levels. The pyrosequencing data are presented from two independent experiments. The allele‐specific semi‐quantitative and real‐time RT–PCR data are presented as the mean ± SEM from three independent experiments. The P values were analyzed by unpaired, two‐tailed Student’s t ‐test (*** P < 0.001). n.d. not detected. RNA‐decay rates of WT and 402C>G FOXL2 mRNAs in KGN cells were determined after treatment with 5 µg/ml ActD for the indicated times. The estimated half‐lives of each transcript are presented. The data are presented as the mean ± SEM from three independent experiments. Source data are available online for this figure.
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Varionostic gmbh snp assays
CD177 pos neutrophils from bimodal individuals contain CD177 protein and express only one CD177 allele either of paternal or maternal origin, whereas CD177 neg neutrophils produce neither CD177 protein nor mRNA. (A) The percentage of CD177 pos neutrophils by flow cytometry in 165 normal controls is shown as percentage of individuals per decile. (B) A typical flow cytometry experiment before (presort) and after magnetic cell sorting yielding CD177 pos and CD177 neg neutrophil subsets is given. Samples obtained as shown in B were subjected (C) to immunoblotting for CD177 and proteinase 3 (PR3) as a control protein ( n = 4 different donors), and (D) to CD177 gene expression analysis <t>by</t> <t>qRT-PCR.</t> CD177 mRNA of presorted neutrophils was set at 100% ( n = 3 different donors). (E) RT-PCR with different CD177 exon-spanning primers (black arrows) was performed in CD177 pos and CD177 neg neutrophils from two neutrophil donors to exclude truncated CD177 mRNAs ( n = 2 different donors). (F) An example for monoallelic CD177 gene expression in a family with two offspring is depicted. Haplotype analysis showed an informative heterozygous GA <t>SNP</t> (in red, rs45571738) in the genomic DNA (gDNA) of both offspring whereas maternal gDNA showed homozygous GG and paternal gDNA AA. At mRNA, the son monoallelically expressed the maternal G and the daughter the paternal A allele as demonstrated by Sanger sequencing. The parental haplotype that is inherited by the offspring is boxed in light orange (maternal) and blue (paternal). (G) Digital PCR for the monoallelically expressed G allele for SNP 156 in the son (left) and A allele in the daughter (right). Dot plots are depicted with each dot representing one of the 20,000 analyzed wells on the digital PCR chip. Blue dots represent the G (FAM-labeled) and red dots the A (VIC-labeled) allele, whereas yellow and green dots do not allow unequivocal allele identification. Quantitative assessment (middle) shows 75% G allele expression for the son and 96% for the daughter. gDNA was assessed as a control showing even distribution of both alleles ( n = 2). (H) Pyrosequencing reveals MAE of the G allele (74%) for the son and the A allele (72%) for the daughter, respectively. Note that quantitative assays for assessment of MAE use a threshold of ∼70% for the monallelic call . Data in D were displayed as mean± SEM and were analyzed using one-way ANOVA. ***, P < 0.001. Data in G were given as Poisson plus ratio with confidence intervals and were analyzed using Student’s t test. **, P < 0.01.
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Sysmex Inostics emulsion pcr (beaming
CD177 pos neutrophils from bimodal individuals contain CD177 protein and express only one CD177 allele either of paternal or maternal origin, whereas CD177 neg neutrophils produce neither CD177 protein nor mRNA. (A) The percentage of CD177 pos neutrophils by flow cytometry in 165 normal controls is shown as percentage of individuals per decile. (B) A typical flow cytometry experiment before (presort) and after magnetic cell sorting yielding CD177 pos and CD177 neg neutrophil subsets is given. Samples obtained as shown in B were subjected (C) to immunoblotting for CD177 and proteinase 3 (PR3) as a control protein ( n = 4 different donors), and (D) to CD177 gene expression analysis <t>by</t> <t>qRT-PCR.</t> CD177 mRNA of presorted neutrophils was set at 100% ( n = 3 different donors). (E) RT-PCR with different CD177 exon-spanning primers (black arrows) was performed in CD177 pos and CD177 neg neutrophils from two neutrophil donors to exclude truncated CD177 mRNAs ( n = 2 different donors). (F) An example for monoallelic CD177 gene expression in a family with two offspring is depicted. Haplotype analysis showed an informative heterozygous GA <t>SNP</t> (in red, rs45571738) in the genomic DNA (gDNA) of both offspring whereas maternal gDNA showed homozygous GG and paternal gDNA AA. At mRNA, the son monoallelically expressed the maternal G and the daughter the paternal A allele as demonstrated by Sanger sequencing. The parental haplotype that is inherited by the offspring is boxed in light orange (maternal) and blue (paternal). (G) Digital PCR for the monoallelically expressed G allele for SNP 156 in the son (left) and A allele in the daughter (right). Dot plots are depicted with each dot representing one of the 20,000 analyzed wells on the digital PCR chip. Blue dots represent the G (FAM-labeled) and red dots the A (VIC-labeled) allele, whereas yellow and green dots do not allow unequivocal allele identification. Quantitative assessment (middle) shows 75% G allele expression for the son and 96% for the daughter. gDNA was assessed as a control showing even distribution of both alleles ( n = 2). (H) Pyrosequencing reveals MAE of the G allele (74%) for the son and the A allele (72%) for the daughter, respectively. Note that quantitative assays for assessment of MAE use a threshold of ∼70% for the monallelic call . Data in D were displayed as mean± SEM and were analyzed using one-way ANOVA. ***, P < 0.001. Data in G were given as Poisson plus ratio with confidence intervals and were analyzed using Student’s t test. **, P < 0.01.
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Image Search Results


a Bar plot showing the ratio for the observed relative to the expected overlap of reactivated, full escape and late-silenced genes with high-confidence NDD genes. For reactivated genes, an intriguing accumulation of NDD genes was observed (1.43 times more than expected; P = 6.72 × 10 −3 ). P- values were determined by the cumulative distribution function. b Immunostaining of organoid sections of the different experimental lines showing SOX2 (white) and MAP2 (magenta). Scale bars = 500 µm. c Box and jitter plots showing the quantification of the fraction of MAP2 in neural tissue (SOX2 + MAP2+ area) on d30 (M-ctrl, n = 36; M-OS/het, n = 39; M-OS/male, n = 34; M-OS/maleR, n = 25; J-ctrl, n = 9; J-OS/het, n = 13; J-OS/hom, n = 13; exact P values (top to bottom): 0.03, 9.7 × 10 −13 , 2.4 × 10 −9 , <2.2 × 10 −16 , 8.1 × 10 −9 , 7.9 × 10 −4 , 4.0 × 10 −6 , 4.3 × 10 −3 ). d Box and jitter plots showing the quantification of the fraction of MAP2 in neural tissue (SOX2 + MAP2+ area) on d30 in the XIST expressing A-lines (A-ctrl, n = 15; A-OS/het, n = 29; A-OS/hom, n = 28; exact P values (top to bottom): 0.035, 8 × 10 −5 , 0.032). For c , d boxplots show median, quartiles (box), and range (whiskers). In the jitter plots dots represent individual organoids. Two-sided Wilcoxon rank sum test; *P < 0.05, **P < 0.01, ***P < 0.001, ns P > 0.05. e Allele-specific RT-PCR revealing reactivation (*) of the inactive MID1 allele in brain organoids derived from the M-lines. f Reactivation (*) of the inactive MID1 allele in brain organoids derived from the J-lines as revealed by allele-specific RT-PCR. g Reactivation (*) of the inactive MID1 allele in brain organoids derived from the A-liness as revealed by allele-specific RT-PCR. Source data are provided as a file.

Journal: Nature Communications

Article Title: Dynamic allele usage of X-linked genes ameliorates neurodevelopmental disease phenotypes in brain organoids

doi: 10.1038/s41467-026-68428-x

Figure Lengend Snippet: a Bar plot showing the ratio for the observed relative to the expected overlap of reactivated, full escape and late-silenced genes with high-confidence NDD genes. For reactivated genes, an intriguing accumulation of NDD genes was observed (1.43 times more than expected; P = 6.72 × 10 −3 ). P- values were determined by the cumulative distribution function. b Immunostaining of organoid sections of the different experimental lines showing SOX2 (white) and MAP2 (magenta). Scale bars = 500 µm. c Box and jitter plots showing the quantification of the fraction of MAP2 in neural tissue (SOX2 + MAP2+ area) on d30 (M-ctrl, n = 36; M-OS/het, n = 39; M-OS/male, n = 34; M-OS/maleR, n = 25; J-ctrl, n = 9; J-OS/het, n = 13; J-OS/hom, n = 13; exact P values (top to bottom): 0.03, 9.7 × 10 −13 , 2.4 × 10 −9 , <2.2 × 10 −16 , 8.1 × 10 −9 , 7.9 × 10 −4 , 4.0 × 10 −6 , 4.3 × 10 −3 ). d Box and jitter plots showing the quantification of the fraction of MAP2 in neural tissue (SOX2 + MAP2+ area) on d30 in the XIST expressing A-lines (A-ctrl, n = 15; A-OS/het, n = 29; A-OS/hom, n = 28; exact P values (top to bottom): 0.035, 8 × 10 −5 , 0.032). For c , d boxplots show median, quartiles (box), and range (whiskers). In the jitter plots dots represent individual organoids. Two-sided Wilcoxon rank sum test; *P < 0.05, **P < 0.01, ***P < 0.001, ns P > 0.05. e Allele-specific RT-PCR revealing reactivation (*) of the inactive MID1 allele in brain organoids derived from the M-lines. f Reactivation (*) of the inactive MID1 allele in brain organoids derived from the J-lines as revealed by allele-specific RT-PCR. g Reactivation (*) of the inactive MID1 allele in brain organoids derived from the A-liness as revealed by allele-specific RT-PCR. Source data are provided as a file.

Article Snippet: Female fibroblasts were reprogrammed into iPSCs and upon clonal selection we determined which X-chromosome is active in which clone by using Quantification of Allele-Specific Expression by Pyrosequencing (QUASEP) assays (Fig. , Supplementary Data ).

Techniques: Immunostaining, Expressing, Reverse Transcription Polymerase Chain Reaction, Derivative Assay

Bar graph and box‐and‐whisker plots are presented, which show the allelic proportions of WT FOXL2 mRNA and 402C> G FOXL2 mRNA in AGCT tissues from 46 patients analyzed by pyrosequencing. The box plot represents the minimum value, first quartile, median, third quartile, and maximum value of a data set. X‐axis indicates mRNAs of WT FOXL2 and 402C>G FOXL2 . The whiskers extend to the most extreme data points not considered outliers, and the outliers are represented as dots. Comparisons between groups were performed using Student’s t ‐test, and P values are presented. The relative abundances of WT and variant FOXL2 mRNA were analyzed in KGN and COV434 cells by pyrosequencing (left graph), allele‐specific RT–PCR (middle graph), and real‐time RT–PCR (right graph). gDNA was detected as a positive control. The relative abundances of the variant FOXL2 mRNA were normalized to that of WT mRNA (set to 1). FOXL2 mRNA levels detected by real‐time RT–PCR were normalized to matching gDNA levels. The pyrosequencing data are presented from two independent experiments. The allele‐specific semi‐quantitative and real‐time RT–PCR data are presented as the mean ± SEM from three independent experiments. The P values were analyzed by unpaired, two‐tailed Student’s t ‐test (*** P < 0.001). n.d. not detected. RNA‐decay rates of WT and 402C>G FOXL2 mRNAs in KGN cells were determined after treatment with 5 µg/ml ActD for the indicated times. The estimated half‐lives of each transcript are presented. The data are presented as the mean ± SEM from three independent experiments. Source data are available online for this figure.

Journal: The EMBO Journal

Article Title: An alternative miRISC targets a cancer‐associated coding sequence mutation in FOXL2

doi: 10.15252/embj.2020104719

Figure Lengend Snippet: Bar graph and box‐and‐whisker plots are presented, which show the allelic proportions of WT FOXL2 mRNA and 402C> G FOXL2 mRNA in AGCT tissues from 46 patients analyzed by pyrosequencing. The box plot represents the minimum value, first quartile, median, third quartile, and maximum value of a data set. X‐axis indicates mRNAs of WT FOXL2 and 402C>G FOXL2 . The whiskers extend to the most extreme data points not considered outliers, and the outliers are represented as dots. Comparisons between groups were performed using Student’s t ‐test, and P values are presented. The relative abundances of WT and variant FOXL2 mRNA were analyzed in KGN and COV434 cells by pyrosequencing (left graph), allele‐specific RT–PCR (middle graph), and real‐time RT–PCR (right graph). gDNA was detected as a positive control. The relative abundances of the variant FOXL2 mRNA were normalized to that of WT mRNA (set to 1). FOXL2 mRNA levels detected by real‐time RT–PCR were normalized to matching gDNA levels. The pyrosequencing data are presented from two independent experiments. The allele‐specific semi‐quantitative and real‐time RT–PCR data are presented as the mean ± SEM from three independent experiments. The P values were analyzed by unpaired, two‐tailed Student’s t ‐test (*** P < 0.001). n.d. not detected. RNA‐decay rates of WT and 402C>G FOXL2 mRNAs in KGN cells were determined after treatment with 5 µg/ml ActD for the indicated times. The estimated half‐lives of each transcript are presented. The data are presented as the mean ± SEM from three independent experiments. Source data are available online for this figure.

Article Snippet: We obtained analogous results using AGCT‐derived KGN cells by pyrosequencing, allele‐specific semi‐quantitative RT–PCR, and allele‐specific real‐time RT–PCR, which are heterozygous for the 402C>G mutation (Fig ).

Techniques: Whisker Assay, Variant Assay, Reverse Transcription Polymerase Chain Reaction, Quantitative RT-PCR, Positive Control, Two Tailed Test

A, B Changes in WT and variant FOXL2 mRNA expression were assessed by RT–PCR (top) and real‐time RT–PCR (bottom) (A) or by Western blot analysis (B) after transfecting KGN cells with anti‐miRNAs for 48 h. C FOXL2 protein levels after transfection of control or miR‐1236 were assessed in KGN and COV434 cells. D The mRNA levels of WT and variant FOXL2 in control, miR‐1236 −/+ , and miR‐1236 −/− KGN cells, with or without miR‐1236 transfection, were determined by RT–PCR (top) or real‐time RT–PCR (bottom). E FOXL2 protein expression in control, miR‐1236 −/+ , and miR‐1236 −/− KGN cells and two independent miR‐1236 −/− (#1 and #2) COV434 cell lines were determined by Western blotting. Data information: Representative gel images are also shown. All quantified results (mean ± SEM) are from at least three independent experiments. Different letters ( P < 0.0001; Student–Newman–Keuls test) or asterisks (* P < 0.05; Student’s t ‐test) denote significant differences. Source data are available online for this figure.

Journal: The EMBO Journal

Article Title: An alternative miRISC targets a cancer‐associated coding sequence mutation in FOXL2

doi: 10.15252/embj.2020104719

Figure Lengend Snippet: A, B Changes in WT and variant FOXL2 mRNA expression were assessed by RT–PCR (top) and real‐time RT–PCR (bottom) (A) or by Western blot analysis (B) after transfecting KGN cells with anti‐miRNAs for 48 h. C FOXL2 protein levels after transfection of control or miR‐1236 were assessed in KGN and COV434 cells. D The mRNA levels of WT and variant FOXL2 in control, miR‐1236 −/+ , and miR‐1236 −/− KGN cells, with or without miR‐1236 transfection, were determined by RT–PCR (top) or real‐time RT–PCR (bottom). E FOXL2 protein expression in control, miR‐1236 −/+ , and miR‐1236 −/− KGN cells and two independent miR‐1236 −/− (#1 and #2) COV434 cell lines were determined by Western blotting. Data information: Representative gel images are also shown. All quantified results (mean ± SEM) are from at least three independent experiments. Different letters ( P < 0.0001; Student–Newman–Keuls test) or asterisks (* P < 0.05; Student’s t ‐test) denote significant differences. Source data are available online for this figure.

Article Snippet: We obtained analogous results using AGCT‐derived KGN cells by pyrosequencing, allele‐specific semi‐quantitative RT–PCR, and allele‐specific real‐time RT–PCR, which are heterozygous for the 402C>G mutation (Fig ).

Techniques: Variant Assay, Expressing, Reverse Transcription Polymerase Chain Reaction, Quantitative RT-PCR, Western Blot, Transfection

A Schematic representation of the luciferase reporter constructs used to assay miR‐1236 activity against a CDS target site in FOXL2 mRNA. The 231‐bp human FOXL2 segments harboring either the C402 (WT) or the G402 (mutant) nucleotide were inserted in‐frame into the CDS of the luciferase gene in the pGL3 control vector. B Luciferase activity of the reporter constructs shown in (A) was measured in KGN cells after transfection with an miR‐1236 mimic for 48 h. The black arrow indicates the position of 402C>G mutation site. C A schematic diagram of the luciferase reporter constructs generated by inserting the predicted miR‐1236‐target sequences of WT and 402C>G FOXL2 mRNAs in the 3′‐UTR of luciferase . D Luciferase activities were measured in KGN cells, using the reporter constructs shown in (C), after transfection with a control miRNA or an miR‐1236 mimic for 48 h. E, F miR‐1236 mutants, in which the C that pairs with G402 of the FOXL2 mutant was substituted with either G (miR‐1236‐G) (E) or U (miR‐1236‐U) (F), were cotransfected into KGN cells with one of the reporter constructs described above. Luciferase activities were subsequently determined. Arrows indicate the mismatched sites. G In vitro annealing kinetics of miR‐1236 with 230 nt‐long transcripts of WT or variant FOXL2 . 32 P‐labeled miR‐1236 (0.5 nM) was incubated with increasing concentrations of synthetic FOXL2 transcripts (0, 2.5, 12.5, 25, or 50 nM). FOXL2 mRNA–miR‐1236 complexes were resolved on a 6% native gel and detected by autoradiography (left). The predicted K d s for the WT and 402C>G FOXL2 transcripts are presented in the right graph. Data information: The data are expressed as the mean ± SEM from three independent experiments, performed in triplicate. The P values were analyzed by unpaired, two‐tailed Student’s t ‐test (*** P < 0.001). Source data are available online for this figure.

Journal: The EMBO Journal

Article Title: An alternative miRISC targets a cancer‐associated coding sequence mutation in FOXL2

doi: 10.15252/embj.2020104719

Figure Lengend Snippet: A Schematic representation of the luciferase reporter constructs used to assay miR‐1236 activity against a CDS target site in FOXL2 mRNA. The 231‐bp human FOXL2 segments harboring either the C402 (WT) or the G402 (mutant) nucleotide were inserted in‐frame into the CDS of the luciferase gene in the pGL3 control vector. B Luciferase activity of the reporter constructs shown in (A) was measured in KGN cells after transfection with an miR‐1236 mimic for 48 h. The black arrow indicates the position of 402C>G mutation site. C A schematic diagram of the luciferase reporter constructs generated by inserting the predicted miR‐1236‐target sequences of WT and 402C>G FOXL2 mRNAs in the 3′‐UTR of luciferase . D Luciferase activities were measured in KGN cells, using the reporter constructs shown in (C), after transfection with a control miRNA or an miR‐1236 mimic for 48 h. E, F miR‐1236 mutants, in which the C that pairs with G402 of the FOXL2 mutant was substituted with either G (miR‐1236‐G) (E) or U (miR‐1236‐U) (F), were cotransfected into KGN cells with one of the reporter constructs described above. Luciferase activities were subsequently determined. Arrows indicate the mismatched sites. G In vitro annealing kinetics of miR‐1236 with 230 nt‐long transcripts of WT or variant FOXL2 . 32 P‐labeled miR‐1236 (0.5 nM) was incubated with increasing concentrations of synthetic FOXL2 transcripts (0, 2.5, 12.5, 25, or 50 nM). FOXL2 mRNA–miR‐1236 complexes were resolved on a 6% native gel and detected by autoradiography (left). The predicted K d s for the WT and 402C>G FOXL2 transcripts are presented in the right graph. Data information: The data are expressed as the mean ± SEM from three independent experiments, performed in triplicate. The P values were analyzed by unpaired, two‐tailed Student’s t ‐test (*** P < 0.001). Source data are available online for this figure.

Article Snippet: We obtained analogous results using AGCT‐derived KGN cells by pyrosequencing, allele‐specific semi‐quantitative RT–PCR, and allele‐specific real‐time RT–PCR, which are heterozygous for the 402C>G mutation (Fig ).

Techniques: Luciferase, Construct, Activity Assay, Mutagenesis, Plasmid Preparation, Transfection, Generated, In Vitro, Variant Assay, Labeling, Incubation, Autoradiography, Two Tailed Test

A, B Changes in WT and variant FOXL2 mRNA‐expression levels were assessed by real‐time RT–PCR (A) or Western blot analysis (B) after transfecting KGN cells with siRNAs against AGO mRNAs for 48 h. The data (mean ± SEM) are from three independent experiments, performed in triplicate. C The mRNA levels of WT (left) and variant FOXL2 (right) were determined in KGN cells by real‐time RT–PCR, after transfecting a control miRNA or miR‐1236. The data (mean ± SEM) are from three independent experiments, performed in triplicate. D The mRNA levels of WT and the variant FOXL2 in control (left) and miR‐1236 −/− KGN cells (right) after transfecting siRNAs against AGO mRNAs were determined by allele‐specific real‐time RT–PCR. The data (mean ± SEM) are from three independent experiments, performed in triplicate. E 293T cells were transfected with an miR‐1236 mimic (50 nM) for 24 h, followed by cotransfection with expression vectors encoding FLAG/HA‐tagged variants of the indicated human AGOs and pGL3c‐CDS‐MT for 24 h. The empty p3XFLAG‐CMV‐10 vector was used as control. Co‐immunoprecipitated mRNAs were reverse transcribed, and the cDNA products were used for allele‐specific real‐time PCR analysis of the FOXL2 variant and GAPDH mRNAs (top). The level of variant FOXL2 mRNA immunoprecipitated using FLAG‐tagged AGO proteins was normalized using the level of GAPDH mRNA from the same lysates. The immunoprecipitated‐AGO proteins were detected by Western blotting (bottom). The data (mean ± SEM) are from three independent experiments. F In vivo association of AGO3‐mediated miRISC formation with FOXL2 mRNAs is shown. Following transfection of a control miRNA or the miR‐1236‐G mutant into KGN cells, AGO3‐mediated RISC‐associated RNAs were isolated by immunoprecipitation with an anti‐AGO3 antibody. IgG was used as a control. The co‐immunoprecipitated mRNAs were reverse transcribed using a FOXL2 ‐430‐R primer binding downstream of the 402C>G site. The cDNA products were used for FOXL2 allele‐specific PCR analysis with the FOXL2 ‐279F primer (Appendix Fig ), and a representative result (top left) is shown. Quantitative real‐time RT–PCR results that examined FOXL2 mRNAs, normalized using the level of GAPDH mRNA (bottom left), are also presented. Western blot analysis of immunoprecipitated AGO3 and inputs are shown in the right panel. The data are presented as the mean ± SEM of two independent experiments. G RNA‐seq analysis was performed to determine AGO‐expression levels (transcripts per million) from the individual tissues from 20 independent AGCT patients. X‐axis represents mRNAs of AGO1 to 4. The box plot represents the minimum value, first quartile, median, third quartile, and maximum value of a data set. The whiskers extend to the most extreme data points not considered outliers, and the outliers are represented as dots. Data information: Different letters ( P < 0.05; Student–Newman–Keuls test) or asterisks (*** P < 0.001) denote statistically significant differences. Source data are available online for this figure.

Journal: The EMBO Journal

Article Title: An alternative miRISC targets a cancer‐associated coding sequence mutation in FOXL2

doi: 10.15252/embj.2020104719

Figure Lengend Snippet: A, B Changes in WT and variant FOXL2 mRNA‐expression levels were assessed by real‐time RT–PCR (A) or Western blot analysis (B) after transfecting KGN cells with siRNAs against AGO mRNAs for 48 h. The data (mean ± SEM) are from three independent experiments, performed in triplicate. C The mRNA levels of WT (left) and variant FOXL2 (right) were determined in KGN cells by real‐time RT–PCR, after transfecting a control miRNA or miR‐1236. The data (mean ± SEM) are from three independent experiments, performed in triplicate. D The mRNA levels of WT and the variant FOXL2 in control (left) and miR‐1236 −/− KGN cells (right) after transfecting siRNAs against AGO mRNAs were determined by allele‐specific real‐time RT–PCR. The data (mean ± SEM) are from three independent experiments, performed in triplicate. E 293T cells were transfected with an miR‐1236 mimic (50 nM) for 24 h, followed by cotransfection with expression vectors encoding FLAG/HA‐tagged variants of the indicated human AGOs and pGL3c‐CDS‐MT for 24 h. The empty p3XFLAG‐CMV‐10 vector was used as control. Co‐immunoprecipitated mRNAs were reverse transcribed, and the cDNA products were used for allele‐specific real‐time PCR analysis of the FOXL2 variant and GAPDH mRNAs (top). The level of variant FOXL2 mRNA immunoprecipitated using FLAG‐tagged AGO proteins was normalized using the level of GAPDH mRNA from the same lysates. The immunoprecipitated‐AGO proteins were detected by Western blotting (bottom). The data (mean ± SEM) are from three independent experiments. F In vivo association of AGO3‐mediated miRISC formation with FOXL2 mRNAs is shown. Following transfection of a control miRNA or the miR‐1236‐G mutant into KGN cells, AGO3‐mediated RISC‐associated RNAs were isolated by immunoprecipitation with an anti‐AGO3 antibody. IgG was used as a control. The co‐immunoprecipitated mRNAs were reverse transcribed using a FOXL2 ‐430‐R primer binding downstream of the 402C>G site. The cDNA products were used for FOXL2 allele‐specific PCR analysis with the FOXL2 ‐279F primer (Appendix Fig ), and a representative result (top left) is shown. Quantitative real‐time RT–PCR results that examined FOXL2 mRNAs, normalized using the level of GAPDH mRNA (bottom left), are also presented. Western blot analysis of immunoprecipitated AGO3 and inputs are shown in the right panel. The data are presented as the mean ± SEM of two independent experiments. G RNA‐seq analysis was performed to determine AGO‐expression levels (transcripts per million) from the individual tissues from 20 independent AGCT patients. X‐axis represents mRNAs of AGO1 to 4. The box plot represents the minimum value, first quartile, median, third quartile, and maximum value of a data set. The whiskers extend to the most extreme data points not considered outliers, and the outliers are represented as dots. Data information: Different letters ( P < 0.05; Student–Newman–Keuls test) or asterisks (*** P < 0.001) denote statistically significant differences. Source data are available online for this figure.

Article Snippet: We obtained analogous results using AGCT‐derived KGN cells by pyrosequencing, allele‐specific semi‐quantitative RT–PCR, and allele‐specific real‐time RT–PCR, which are heterozygous for the 402C>G mutation (Fig ).

Techniques: Variant Assay, Expressing, Quantitative RT-PCR, Western Blot, Transfection, Cotransfection, Plasmid Preparation, Immunoprecipitation, Real-time Polymerase Chain Reaction, In Vivo, Mutagenesis, Isolation, Binding Assay, RNA Sequencing Assay

A Changes in WT and variant FOXL2 mRNA levels in KGN cells were assessed by real‐time RT–PCR after transfecting siRNAs against the indicated factors for 48 h. The data are presented as the mean ± SEM from three independent experiments, performed in triplicate. B FOXL2 protein‐expression levels were determined by Western blotting after transfecting KGN cells with control, DHX9, or GW182 siRNAs for 48 h. Quantification of FOXL2 protein expression is presented in the bottom panel. The data are presented as the mean ± SEM from three independent experiments. The P values were analyzed by unpaired, two‐tailed Student’s t ‐test (** P < 0.01, *** P < 0.001). C Relative binding affinities of DHX9 and GW182 to AGOs. 293T cells were transfected with expression vectors encoding the indicated FLAG/HA‐tagged AGOs, and cell extracts were prepared and immunoprecipitated with an anti‐FLAG antibody, followed by immunoblot analyses (top). The empty p3XFLAG‐CMV‐10 vector was used as a control. The band intensities of immunoprecipitated DHX9 and GW182 were quantified and normalized following pulldown with the indicated AGOs (bottom). The data are presented as the mean ± SEM from three independent experiments. * and # indicate statistically significant differences in the respective amounts of DHX9 or GW182 bound to AGO1. The P values were analyzed by unpaired, two‐tailed Student’s t ‐test ( P < 0.05). D Association of endogenous miR‐1236 with RISC components in KGN cells was determined via pulldown assays using immobilized 2′‐ O ‐methylated oligonucleotides (2′‐ O ‐Me oligos) complementary to miR‐1236 followed with a pulldown using streptavidin‐coupled Dynabeads and Western blot analyses (top). Relative quantification of bound proteins compared with proteins from the input is presented as fold enrichment (bottom). Efficient pulldown of endogenous miR‐1236 using the 2′‐ O ‐Me oligos was confirmed with depleted miR‐1236 in the discarded supernatant following the pulldown (Appendix Fig ). As a control, 2′‐ O ‐Me oligos not complementary to miR‐1236 were used. The data are the means ± SEM from three independent experiments. The P values were analyzed by unpaired, two‐tailed Student’s t ‐test (* P < 0.05, ** P < 0.01). E Following transfection of control siRNA or siDHX9 into KGN cells, AGO3‐mediated RISC‐associated RNAs were immunoprecipitated using an anti‐AGO3 antibody. IgG was used as a control. Co‐immunoprecipitated mRNAs were reverse transcribed using a FOXL2 ‐430‐R primer binding downstream of the 402C>G site. The cDNA products were used for FOXL2 allele‐specific PCR analysis with a FOXL2 ‐279F primer (Appendix Fig ), and a representative result obtained by RT–PCR (top) is shown. Quantitative real‐time RT–PCR results (middle) are also presented as fold enrichment of FOXL2 mRNAs normalized using the level of GAPDH mRNA. Western blots of immunoprecipitated AGO3 and the inputs are shown in the bottom panel. The data are presented as the mean ± SEM from three independent experiments. Different letters denote statistically significant differences ( P < 0.05; Student–Newman–Keuls test). F We examined whether DHX9 affected the association between miR‐1236 and AGOs. After transfecting KGN cells with control siRNA or siDHX9, the total RNA and AGOs‐mediated RISC‐associated RNAs were isolated following immunoprecipitations using anti‐AGO3 or anti‐AGO2 antibodies. The AGOs‐immunoprecipitated RNAs were extracted using an acidic phenol:chloroform mixture (5:1, pH 4.3) and precipitated with isopropanol using 10% of 3 M NaOAc (pH 5.2). The enrichment of miR‐1236 within miRISCs was detected using the TaqMan® microRNA assay in the immunoprecipitated RNAs and normalized using the level of total miR‐1236. The data (means ± SEM) are presented as the fold enrichment calculated from three independent experiments. Different letters denote statistically significant differences ( P < 0.05; Student–Newman–Keuls test). G, H Luciferase activities of the reporter constructs presented in Fig were measured in KGN cells after transfecting the miR‐1236 mimic, indicated siRNAs, and either pGL3c‐CDS‐ FOXL2 MT or pGL3c‐UTR‐ FOXL2 MT for 48 h. The data are expressed as the means ± SEM from three independent experiments and were performed in triplicate. The P values were analyzed by unpaired, two‐tailed Student’s t ‐test (*** P < 0.001). Source data are available online for this figure.

Journal: The EMBO Journal

Article Title: An alternative miRISC targets a cancer‐associated coding sequence mutation in FOXL2

doi: 10.15252/embj.2020104719

Figure Lengend Snippet: A Changes in WT and variant FOXL2 mRNA levels in KGN cells were assessed by real‐time RT–PCR after transfecting siRNAs against the indicated factors for 48 h. The data are presented as the mean ± SEM from three independent experiments, performed in triplicate. B FOXL2 protein‐expression levels were determined by Western blotting after transfecting KGN cells with control, DHX9, or GW182 siRNAs for 48 h. Quantification of FOXL2 protein expression is presented in the bottom panel. The data are presented as the mean ± SEM from three independent experiments. The P values were analyzed by unpaired, two‐tailed Student’s t ‐test (** P < 0.01, *** P < 0.001). C Relative binding affinities of DHX9 and GW182 to AGOs. 293T cells were transfected with expression vectors encoding the indicated FLAG/HA‐tagged AGOs, and cell extracts were prepared and immunoprecipitated with an anti‐FLAG antibody, followed by immunoblot analyses (top). The empty p3XFLAG‐CMV‐10 vector was used as a control. The band intensities of immunoprecipitated DHX9 and GW182 were quantified and normalized following pulldown with the indicated AGOs (bottom). The data are presented as the mean ± SEM from three independent experiments. * and # indicate statistically significant differences in the respective amounts of DHX9 or GW182 bound to AGO1. The P values were analyzed by unpaired, two‐tailed Student’s t ‐test ( P < 0.05). D Association of endogenous miR‐1236 with RISC components in KGN cells was determined via pulldown assays using immobilized 2′‐ O ‐methylated oligonucleotides (2′‐ O ‐Me oligos) complementary to miR‐1236 followed with a pulldown using streptavidin‐coupled Dynabeads and Western blot analyses (top). Relative quantification of bound proteins compared with proteins from the input is presented as fold enrichment (bottom). Efficient pulldown of endogenous miR‐1236 using the 2′‐ O ‐Me oligos was confirmed with depleted miR‐1236 in the discarded supernatant following the pulldown (Appendix Fig ). As a control, 2′‐ O ‐Me oligos not complementary to miR‐1236 were used. The data are the means ± SEM from three independent experiments. The P values were analyzed by unpaired, two‐tailed Student’s t ‐test (* P < 0.05, ** P < 0.01). E Following transfection of control siRNA or siDHX9 into KGN cells, AGO3‐mediated RISC‐associated RNAs were immunoprecipitated using an anti‐AGO3 antibody. IgG was used as a control. Co‐immunoprecipitated mRNAs were reverse transcribed using a FOXL2 ‐430‐R primer binding downstream of the 402C>G site. The cDNA products were used for FOXL2 allele‐specific PCR analysis with a FOXL2 ‐279F primer (Appendix Fig ), and a representative result obtained by RT–PCR (top) is shown. Quantitative real‐time RT–PCR results (middle) are also presented as fold enrichment of FOXL2 mRNAs normalized using the level of GAPDH mRNA. Western blots of immunoprecipitated AGO3 and the inputs are shown in the bottom panel. The data are presented as the mean ± SEM from three independent experiments. Different letters denote statistically significant differences ( P < 0.05; Student–Newman–Keuls test). F We examined whether DHX9 affected the association between miR‐1236 and AGOs. After transfecting KGN cells with control siRNA or siDHX9, the total RNA and AGOs‐mediated RISC‐associated RNAs were isolated following immunoprecipitations using anti‐AGO3 or anti‐AGO2 antibodies. The AGOs‐immunoprecipitated RNAs were extracted using an acidic phenol:chloroform mixture (5:1, pH 4.3) and precipitated with isopropanol using 10% of 3 M NaOAc (pH 5.2). The enrichment of miR‐1236 within miRISCs was detected using the TaqMan® microRNA assay in the immunoprecipitated RNAs and normalized using the level of total miR‐1236. The data (means ± SEM) are presented as the fold enrichment calculated from three independent experiments. Different letters denote statistically significant differences ( P < 0.05; Student–Newman–Keuls test). G, H Luciferase activities of the reporter constructs presented in Fig were measured in KGN cells after transfecting the miR‐1236 mimic, indicated siRNAs, and either pGL3c‐CDS‐ FOXL2 MT or pGL3c‐UTR‐ FOXL2 MT for 48 h. The data are expressed as the means ± SEM from three independent experiments and were performed in triplicate. The P values were analyzed by unpaired, two‐tailed Student’s t ‐test (*** P < 0.001). Source data are available online for this figure.

Article Snippet: We obtained analogous results using AGCT‐derived KGN cells by pyrosequencing, allele‐specific semi‐quantitative RT–PCR, and allele‐specific real‐time RT–PCR, which are heterozygous for the 402C>G mutation (Fig ).

Techniques: Variant Assay, Quantitative RT-PCR, Expressing, Western Blot, Two Tailed Test, Binding Assay, Transfection, Immunoprecipitation, Plasmid Preparation, Methylation, Reverse Transcription Polymerase Chain Reaction, Isolation, TaqMan microRNA Assay, Luciferase, Construct

A–D KGN cells were transfected with 200 nM of scrambled control or FOXL2‐specific siRNAs for 24 h. Then, KGN cells were further transfected with 20 nM of control miRNA, miR‐1236, control anti‐miRNA, or anti‐miR‐1236. The proportion of annexin V‐positive apoptotic cells (A and B) and the population at S phase (C and D) were analyzed by flow cytometry. The data are presented as the mean ± SEM of three independent experiments. Different letters denote statistically significant differences ( P < 0.0001; Student–Newman–Keuls test). Efficient silencing of FOXL2 using specific siRNAs was confirmed by Western blotting. E, F KGN cells were transfected with control siRNA or si FOXL2 for 24 h. Then, KGN cells were further transfected with control miRNA or miR‐1236 (E) or with control anti‐miRNA or anti‐miR‐1236 (F) for 48 h, and Transwell‐migration assays were performed. The migrated cells were imaged under a bright‐field microscope (100 × magnification, scale bar = 100 µm). The results are from three independent experiments and represent fold changes in the average number of cells/field (mean ± SEM). Different letters denote statistically significant differences ( P < 0.01; Student–Newman–Keuls test). G, H COV434 cells were transfected with miR‐control or miR‐1236 for 48 h, after which cell viabilities (G) and migration abilities (H) were measured. The data are presented as the mean ± SEM of three independent experiments. Immunoblots showing no change in FOXL2 protein are presented in the top panel, and images of migrated cells are presented in the right panel. The migrated cells were imaged under a bright‐field microscope (100 × magnification, scale bar = 100 µm). I–K The properties of miR‐1236 −/+ and miR‐1236 −/− KGN cells versus control KGN cells were assessed by measuring cell viability (I), cell proliferation (J), and cell migration (K). The data are presented as the mean ± SEM of three independent experiments. The migrated cells were imaged under a bright‐field microscope (100 × magnification; top of Figure ). Scale bar = 100 µm. L No difference in the cell‐migration activities of control and two independent miR‐1236 −/− (#1 and #2) COV434 cell lines. The migrated cells were imaged under a bright‐field microscope (100 × magnification, scale bar = 100 µm; top), and the results (bottom) represent fold changes in the average number of cells/field. The data are presented as the mean ± SEM of three independent experiments. Data information: Different letters denote statistically significant differences ( P < 0.0001; Student–Newman–Keuls test). Source data are available online for this figure.

Journal: The EMBO Journal

Article Title: An alternative miRISC targets a cancer‐associated coding sequence mutation in FOXL2

doi: 10.15252/embj.2020104719

Figure Lengend Snippet: A–D KGN cells were transfected with 200 nM of scrambled control or FOXL2‐specific siRNAs for 24 h. Then, KGN cells were further transfected with 20 nM of control miRNA, miR‐1236, control anti‐miRNA, or anti‐miR‐1236. The proportion of annexin V‐positive apoptotic cells (A and B) and the population at S phase (C and D) were analyzed by flow cytometry. The data are presented as the mean ± SEM of three independent experiments. Different letters denote statistically significant differences ( P < 0.0001; Student–Newman–Keuls test). Efficient silencing of FOXL2 using specific siRNAs was confirmed by Western blotting. E, F KGN cells were transfected with control siRNA or si FOXL2 for 24 h. Then, KGN cells were further transfected with control miRNA or miR‐1236 (E) or with control anti‐miRNA or anti‐miR‐1236 (F) for 48 h, and Transwell‐migration assays were performed. The migrated cells were imaged under a bright‐field microscope (100 × magnification, scale bar = 100 µm). The results are from three independent experiments and represent fold changes in the average number of cells/field (mean ± SEM). Different letters denote statistically significant differences ( P < 0.01; Student–Newman–Keuls test). G, H COV434 cells were transfected with miR‐control or miR‐1236 for 48 h, after which cell viabilities (G) and migration abilities (H) were measured. The data are presented as the mean ± SEM of three independent experiments. Immunoblots showing no change in FOXL2 protein are presented in the top panel, and images of migrated cells are presented in the right panel. The migrated cells were imaged under a bright‐field microscope (100 × magnification, scale bar = 100 µm). I–K The properties of miR‐1236 −/+ and miR‐1236 −/− KGN cells versus control KGN cells were assessed by measuring cell viability (I), cell proliferation (J), and cell migration (K). The data are presented as the mean ± SEM of three independent experiments. The migrated cells were imaged under a bright‐field microscope (100 × magnification; top of Figure ). Scale bar = 100 µm. L No difference in the cell‐migration activities of control and two independent miR‐1236 −/− (#1 and #2) COV434 cell lines. The migrated cells were imaged under a bright‐field microscope (100 × magnification, scale bar = 100 µm; top), and the results (bottom) represent fold changes in the average number of cells/field. The data are presented as the mean ± SEM of three independent experiments. Data information: Different letters denote statistically significant differences ( P < 0.0001; Student–Newman–Keuls test). Source data are available online for this figure.

Article Snippet: We obtained analogous results using AGCT‐derived KGN cells by pyrosequencing, allele‐specific semi‐quantitative RT–PCR, and allele‐specific real‐time RT–PCR, which are heterozygous for the 402C>G mutation (Fig ).

Techniques: Transfection, Flow Cytometry, Western Blot, Migration, Microscopy

A–C The effect of miR‐1236 KO on AGCT metastasis was assessed, using an in vivo xenograft mice model. (A) Representative images of tumor nodules (white arrows) formed in the intestines of nude mice xenografted with control or miR‐1236 −/− KGN cells are shown (left and right; scale bar = 5 mm). Hematoxylin and eosin staining confirmed the pathological characteristics of the metastasized GCT nodules (middle, black arrows; scale bar = 50 µm). The black dashed circles are metastasized nodules of xenografted KGN cells found in mouse intestines. (B) The number of tumor nodules formed in the intestines was counted in control ( n = 8) and miR‐1236 −/− ( n = 8) mice. (C) Allele‐specific real‐time RT–PCR analysis of the WT and 402C> G variant FOXL2 mRNAs was performed using RNA extracted from tumor nodules from control or miR‐1236 −/− mice. The P values were analyzed by unpaired, two‐tailed Student’s t ‐test (** P < 0.01, *** P < 0.001). D–F Box‐and‐whisker plots showing the relative expression of miR‐1236 (D), variant FOXL2 mRNA (E), and WT FOXL2 mRNA (F), respectively, in 32 patients with non‐metastasized AGCTs and 14 patients with metastasized AGCTs. X‐ axis indicates patient subgroups depending on whether they exhibit metastasized AGCTs (meta) or not (non‐meta). The relative miR‐1236 levels were measured using a TaqMan® microRNA RT–qPCR assay, with expression normalized to RNU6B . The levels of 402C > G or WT FOXL2 mRNA were determined by real‐time RT–PCR, and the data were normalized to paired‐gDNA levels. The relative levels of miR‐1236 and FOXL2 mRNAs were quantified by setting the levels of AGCT #1 to 1. Real‐time RT–PCR was performed in triplicate for each specimen. The box plot represents the minimum value, first quartile, median, third quartile, and maximum value of a data set. The whiskers extend to the most extreme data points not considered outliers, and the outliers are represented as dots. Comparisons between groups were performed using Student’s t ‐test, and P values are presented. G, H The estimated regression line superimposed on the scatter plot of miR‐1236 levels with 402C> G FOXL2 mRNA (G) or WT FOXL2 mRNA (H) in AGCT samples ( n = 46) is shown, along with correlation coefficient ( r ) and P values. I The proposed model for FOXL2 haploinsufficiency induced by the 402C>G mutation during AGCT development. Source data are available online for this figure.

Journal: The EMBO Journal

Article Title: An alternative miRISC targets a cancer‐associated coding sequence mutation in FOXL2

doi: 10.15252/embj.2020104719

Figure Lengend Snippet: A–C The effect of miR‐1236 KO on AGCT metastasis was assessed, using an in vivo xenograft mice model. (A) Representative images of tumor nodules (white arrows) formed in the intestines of nude mice xenografted with control or miR‐1236 −/− KGN cells are shown (left and right; scale bar = 5 mm). Hematoxylin and eosin staining confirmed the pathological characteristics of the metastasized GCT nodules (middle, black arrows; scale bar = 50 µm). The black dashed circles are metastasized nodules of xenografted KGN cells found in mouse intestines. (B) The number of tumor nodules formed in the intestines was counted in control ( n = 8) and miR‐1236 −/− ( n = 8) mice. (C) Allele‐specific real‐time RT–PCR analysis of the WT and 402C> G variant FOXL2 mRNAs was performed using RNA extracted from tumor nodules from control or miR‐1236 −/− mice. The P values were analyzed by unpaired, two‐tailed Student’s t ‐test (** P < 0.01, *** P < 0.001). D–F Box‐and‐whisker plots showing the relative expression of miR‐1236 (D), variant FOXL2 mRNA (E), and WT FOXL2 mRNA (F), respectively, in 32 patients with non‐metastasized AGCTs and 14 patients with metastasized AGCTs. X‐ axis indicates patient subgroups depending on whether they exhibit metastasized AGCTs (meta) or not (non‐meta). The relative miR‐1236 levels were measured using a TaqMan® microRNA RT–qPCR assay, with expression normalized to RNU6B . The levels of 402C > G or WT FOXL2 mRNA were determined by real‐time RT–PCR, and the data were normalized to paired‐gDNA levels. The relative levels of miR‐1236 and FOXL2 mRNAs were quantified by setting the levels of AGCT #1 to 1. Real‐time RT–PCR was performed in triplicate for each specimen. The box plot represents the minimum value, first quartile, median, third quartile, and maximum value of a data set. The whiskers extend to the most extreme data points not considered outliers, and the outliers are represented as dots. Comparisons between groups were performed using Student’s t ‐test, and P values are presented. G, H The estimated regression line superimposed on the scatter plot of miR‐1236 levels with 402C> G FOXL2 mRNA (G) or WT FOXL2 mRNA (H) in AGCT samples ( n = 46) is shown, along with correlation coefficient ( r ) and P values. I The proposed model for FOXL2 haploinsufficiency induced by the 402C>G mutation during AGCT development. Source data are available online for this figure.

Article Snippet: We obtained analogous results using AGCT‐derived KGN cells by pyrosequencing, allele‐specific semi‐quantitative RT–PCR, and allele‐specific real‐time RT–PCR, which are heterozygous for the 402C>G mutation (Fig ).

Techniques: In Vivo, Staining, Quantitative RT-PCR, Variant Assay, Two Tailed Test, Whisker Assay, Expressing, Mutagenesis

CD177 pos neutrophils from bimodal individuals contain CD177 protein and express only one CD177 allele either of paternal or maternal origin, whereas CD177 neg neutrophils produce neither CD177 protein nor mRNA. (A) The percentage of CD177 pos neutrophils by flow cytometry in 165 normal controls is shown as percentage of individuals per decile. (B) A typical flow cytometry experiment before (presort) and after magnetic cell sorting yielding CD177 pos and CD177 neg neutrophil subsets is given. Samples obtained as shown in B were subjected (C) to immunoblotting for CD177 and proteinase 3 (PR3) as a control protein ( n = 4 different donors), and (D) to CD177 gene expression analysis by qRT-PCR. CD177 mRNA of presorted neutrophils was set at 100% ( n = 3 different donors). (E) RT-PCR with different CD177 exon-spanning primers (black arrows) was performed in CD177 pos and CD177 neg neutrophils from two neutrophil donors to exclude truncated CD177 mRNAs ( n = 2 different donors). (F) An example for monoallelic CD177 gene expression in a family with two offspring is depicted. Haplotype analysis showed an informative heterozygous GA SNP (in red, rs45571738) in the genomic DNA (gDNA) of both offspring whereas maternal gDNA showed homozygous GG and paternal gDNA AA. At mRNA, the son monoallelically expressed the maternal G and the daughter the paternal A allele as demonstrated by Sanger sequencing. The parental haplotype that is inherited by the offspring is boxed in light orange (maternal) and blue (paternal). (G) Digital PCR for the monoallelically expressed G allele for SNP 156 in the son (left) and A allele in the daughter (right). Dot plots are depicted with each dot representing one of the 20,000 analyzed wells on the digital PCR chip. Blue dots represent the G (FAM-labeled) and red dots the A (VIC-labeled) allele, whereas yellow and green dots do not allow unequivocal allele identification. Quantitative assessment (middle) shows 75% G allele expression for the son and 96% for the daughter. gDNA was assessed as a control showing even distribution of both alleles ( n = 2). (H) Pyrosequencing reveals MAE of the G allele (74%) for the son and the A allele (72%) for the daughter, respectively. Note that quantitative assays for assessment of MAE use a threshold of ∼70% for the monallelic call . Data in D were displayed as mean± SEM and were analyzed using one-way ANOVA. ***, P < 0.001. Data in G were given as Poisson plus ratio with confidence intervals and were analyzed using Student’s t test. **, P < 0.01.

Journal: The Journal of Experimental Medicine

Article Title: Gene silencing and a novel monoallelic expression pattern in distinct CD177 neutrophil subsets

doi: 10.1084/jem.20161093

Figure Lengend Snippet: CD177 pos neutrophils from bimodal individuals contain CD177 protein and express only one CD177 allele either of paternal or maternal origin, whereas CD177 neg neutrophils produce neither CD177 protein nor mRNA. (A) The percentage of CD177 pos neutrophils by flow cytometry in 165 normal controls is shown as percentage of individuals per decile. (B) A typical flow cytometry experiment before (presort) and after magnetic cell sorting yielding CD177 pos and CD177 neg neutrophil subsets is given. Samples obtained as shown in B were subjected (C) to immunoblotting for CD177 and proteinase 3 (PR3) as a control protein ( n = 4 different donors), and (D) to CD177 gene expression analysis by qRT-PCR. CD177 mRNA of presorted neutrophils was set at 100% ( n = 3 different donors). (E) RT-PCR with different CD177 exon-spanning primers (black arrows) was performed in CD177 pos and CD177 neg neutrophils from two neutrophil donors to exclude truncated CD177 mRNAs ( n = 2 different donors). (F) An example for monoallelic CD177 gene expression in a family with two offspring is depicted. Haplotype analysis showed an informative heterozygous GA SNP (in red, rs45571738) in the genomic DNA (gDNA) of both offspring whereas maternal gDNA showed homozygous GG and paternal gDNA AA. At mRNA, the son monoallelically expressed the maternal G and the daughter the paternal A allele as demonstrated by Sanger sequencing. The parental haplotype that is inherited by the offspring is boxed in light orange (maternal) and blue (paternal). (G) Digital PCR for the monoallelically expressed G allele for SNP 156 in the son (left) and A allele in the daughter (right). Dot plots are depicted with each dot representing one of the 20,000 analyzed wells on the digital PCR chip. Blue dots represent the G (FAM-labeled) and red dots the A (VIC-labeled) allele, whereas yellow and green dots do not allow unequivocal allele identification. Quantitative assessment (middle) shows 75% G allele expression for the son and 96% for the daughter. gDNA was assessed as a control showing even distribution of both alleles ( n = 2). (H) Pyrosequencing reveals MAE of the G allele (74%) for the son and the A allele (72%) for the daughter, respectively. Note that quantitative assays for assessment of MAE use a threshold of ∼70% for the monallelic call . Data in D were displayed as mean± SEM and were analyzed using one-way ANOVA. ***, P < 0.001. Data in G were given as Poisson plus ratio with confidence intervals and were analyzed using Student’s t test. **, P < 0.01.

Article Snippet: Quantitative allele analysis by pyrosequencing was performed by the bioanalytical services laboratory (Varionostic GmbH) using four different SNP assays with template-specific PCR and sequencing primers (Table S3) and the Q24 System (QIAGEN).

Techniques: Flow Cytometry, FACS, Western Blot, Control, Gene Expression, Quantitative RT-PCR, Reverse Transcription Polymerase Chain Reaction, Sequencing, Digital PCR, Labeling, Expressing

Monoallelic CD177 mRNA expression in neutrophil-differentiated CD34 + HSC and neonatal neutrophils. CD34 + HSC were differentiated over 7 d into neutrophils and (A) acquired neutrophil surface markers CD11b and CD18, together with a bimodal CD177 phenotype. A representative flow cytometry analysis from four independent differentiation experiments is shown. Solid lines represent staining with the specific antibodies and dotted lines represent the isotype control. (B) CD177 gene expression increased progressively in CD34 + HSCs during 7 d of neutrophil differentiation (qRT-PCR; n = 4 different CD34 + HSC donors). (C) Sanger sequencing of genomic DNA (gDNA) and mRNA from CD34 + HSC showed a heterozygous AC SNP 793 (rs10425835) in gDNA and biallelic CD177 mRNA expression in undifferentiated cells at day 0. The C allele was silenced during neutrophil differentiation up to day 7 ( n = 4 different CD34 + HSC donors). (D) Analysis of neutrophil-differentiated CD34 + HSCs and neonatal neutrophils from the same cord blood indicate an informative heterozygous AC SNP 793 in the gDNA from CD34 + HSCs.

Journal: The Journal of Experimental Medicine

Article Title: Gene silencing and a novel monoallelic expression pattern in distinct CD177 neutrophil subsets

doi: 10.1084/jem.20161093

Figure Lengend Snippet: Monoallelic CD177 mRNA expression in neutrophil-differentiated CD34 + HSC and neonatal neutrophils. CD34 + HSC were differentiated over 7 d into neutrophils and (A) acquired neutrophil surface markers CD11b and CD18, together with a bimodal CD177 phenotype. A representative flow cytometry analysis from four independent differentiation experiments is shown. Solid lines represent staining with the specific antibodies and dotted lines represent the isotype control. (B) CD177 gene expression increased progressively in CD34 + HSCs during 7 d of neutrophil differentiation (qRT-PCR; n = 4 different CD34 + HSC donors). (C) Sanger sequencing of genomic DNA (gDNA) and mRNA from CD34 + HSC showed a heterozygous AC SNP 793 (rs10425835) in gDNA and biallelic CD177 mRNA expression in undifferentiated cells at day 0. The C allele was silenced during neutrophil differentiation up to day 7 ( n = 4 different CD34 + HSC donors). (D) Analysis of neutrophil-differentiated CD34 + HSCs and neonatal neutrophils from the same cord blood indicate an informative heterozygous AC SNP 793 in the gDNA from CD34 + HSCs.

Article Snippet: Quantitative allele analysis by pyrosequencing was performed by the bioanalytical services laboratory (Varionostic GmbH) using four different SNP assays with template-specific PCR and sequencing primers (Table S3) and the Q24 System (QIAGEN).

Techniques: Expressing, Flow Cytometry, Staining, Control, Gene Expression, Quantitative RT-PCR, Sequencing

CD177 gene expression, promoter analysis, DNA methylation, and transcription factor binding in a HeLa cell model. (A) CD177 gene expression was induced in PMA-treated HeLa cells as shown by qRT-PCR ( n = 3 independent experiments). (B) CD177 haplotype analysis was performed by Sanger sequencing the genomic DNA (gDNA) and mRNA from HeLa cells ( n = 6 independent experiments). Three heterozygous SNPs in the gDNA, one in exon 1 (SNP 49 GC) and two in exon 5 (SNP 652 AG and SNP 656 GT), were found and established monoallelic CD177 gene expression. (C) A schematic overview of the CD177 gene (red), its promoter, and the pseudogene (black) is depicted. The CD177 promoter region is enlarged.16 CpG dinucleotides, the c-Jun, c-Fos, and c-Ets-1 TF binding sites (PROMO database), the TATA box, the transcription start site (TSS), the translation start (ATG), and PCR amplicons of the ChIPed DNA are indicated. (D) The CD177 promoter constructs P1 to P6 were cloned into the CpG-free luciferase vector. (E) Luciferase reporter assays were performed with the unmethylated CD177 promoter constructs P1 to P6 ( n = 4 independent experiments). CD177 promoter activity was calculated from the firefly and Renilla luciferase signal. (F) Luciferase reporter assays were performed with P1 to P4 promoter constructs that were either left unmethylated (open bars) or were methylated (black bars) by incubation with methyltransferase ( n = 7 independent experiments). (G) PMA-stimulated HeLa cells were treated with buffer (Bu) or 10 µM 5′-Aza-2-deoxycytidine (5-Aza) for 48 and 72 h, respectively ( n = 6 independent experiments). Allele expression was analyzed using heterozygous CD177 SNPs (SNP 49 rs45441892, SNP 652 rs199668750, SNP 656 rs200662237) in gDNA and the corresponding mRNA. Black indicates the percentage of experiments where monoallelic CD177 gene expression was detected and white indicates the percentage of experiments where biallelic CD177 allele expression was detected. (H) ChIP assays were performed using antibodies to c-Jun, c-Fos, and c-Ets-1 in PMA-stimulated HeLa cells. (I) Nonactivated HeLa cells were transfected with empty pcDNA3 vector, c-Jun, c-Fos, c-Ets-1, and combinations thereof ( n = 3 independent experiments). CD177 gene expression was determined by qRT-PCR. (J) CD177 gene expression by qRT-PCR was assessed in human blood neutrophils stimulated with buffer control (Bu) or 100 ng/ml G-CSF for 90 min, respectively. When indicated, G-CSF–stimulated cells were pretreated with buffer control (DMSO) or 20 µM JNK II inhibitor (CAS 129–56-6) for 30 min, respectively ( n = 3 independent experiments). Data in A, E, F, I, and J were displayed as mean ± SEM and were analyzed using one-way ANOVA. *, P < 0.05; **, P < 0.01; ***, P < 0.001. Data in H were displayed ± SEM and were analyzed using Student’s t test. *, P < 0.05.

Journal: The Journal of Experimental Medicine

Article Title: Gene silencing and a novel monoallelic expression pattern in distinct CD177 neutrophil subsets

doi: 10.1084/jem.20161093

Figure Lengend Snippet: CD177 gene expression, promoter analysis, DNA methylation, and transcription factor binding in a HeLa cell model. (A) CD177 gene expression was induced in PMA-treated HeLa cells as shown by qRT-PCR ( n = 3 independent experiments). (B) CD177 haplotype analysis was performed by Sanger sequencing the genomic DNA (gDNA) and mRNA from HeLa cells ( n = 6 independent experiments). Three heterozygous SNPs in the gDNA, one in exon 1 (SNP 49 GC) and two in exon 5 (SNP 652 AG and SNP 656 GT), were found and established monoallelic CD177 gene expression. (C) A schematic overview of the CD177 gene (red), its promoter, and the pseudogene (black) is depicted. The CD177 promoter region is enlarged.16 CpG dinucleotides, the c-Jun, c-Fos, and c-Ets-1 TF binding sites (PROMO database), the TATA box, the transcription start site (TSS), the translation start (ATG), and PCR amplicons of the ChIPed DNA are indicated. (D) The CD177 promoter constructs P1 to P6 were cloned into the CpG-free luciferase vector. (E) Luciferase reporter assays were performed with the unmethylated CD177 promoter constructs P1 to P6 ( n = 4 independent experiments). CD177 promoter activity was calculated from the firefly and Renilla luciferase signal. (F) Luciferase reporter assays were performed with P1 to P4 promoter constructs that were either left unmethylated (open bars) or were methylated (black bars) by incubation with methyltransferase ( n = 7 independent experiments). (G) PMA-stimulated HeLa cells were treated with buffer (Bu) or 10 µM 5′-Aza-2-deoxycytidine (5-Aza) for 48 and 72 h, respectively ( n = 6 independent experiments). Allele expression was analyzed using heterozygous CD177 SNPs (SNP 49 rs45441892, SNP 652 rs199668750, SNP 656 rs200662237) in gDNA and the corresponding mRNA. Black indicates the percentage of experiments where monoallelic CD177 gene expression was detected and white indicates the percentage of experiments where biallelic CD177 allele expression was detected. (H) ChIP assays were performed using antibodies to c-Jun, c-Fos, and c-Ets-1 in PMA-stimulated HeLa cells. (I) Nonactivated HeLa cells were transfected with empty pcDNA3 vector, c-Jun, c-Fos, c-Ets-1, and combinations thereof ( n = 3 independent experiments). CD177 gene expression was determined by qRT-PCR. (J) CD177 gene expression by qRT-PCR was assessed in human blood neutrophils stimulated with buffer control (Bu) or 100 ng/ml G-CSF for 90 min, respectively. When indicated, G-CSF–stimulated cells were pretreated with buffer control (DMSO) or 20 µM JNK II inhibitor (CAS 129–56-6) for 30 min, respectively ( n = 3 independent experiments). Data in A, E, F, I, and J were displayed as mean ± SEM and were analyzed using one-way ANOVA. *, P < 0.05; **, P < 0.01; ***, P < 0.001. Data in H were displayed ± SEM and were analyzed using Student’s t test. *, P < 0.05.

Article Snippet: Quantitative allele analysis by pyrosequencing was performed by the bioanalytical services laboratory (Varionostic GmbH) using four different SNP assays with template-specific PCR and sequencing primers (Table S3) and the Q24 System (QIAGEN).

Techniques: Gene Expression, DNA Methylation Assay, Binding Assay, Quantitative RT-PCR, Sequencing, Construct, Clone Assay, Luciferase, Plasmid Preparation, Activity Assay, Methylation, Incubation, Expressing, Transfection, Control