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Assessment of T reg cell specific expression of MEOX1 (A) Expression of MEOX1 in activated T reg cells and T conv cells over a time period of 360 min (n=2; dataset: GSE11929). (B) MEOX1 gene expression in different immune cells assessed by qRT-PCR and normalized to B2M (n=3). *p < 0.05 (paired Student’s t-test), ** p < 0.01 (paired Student’s t-test). (C) MEOX1 gene expression in different immune cells according to the NextBio database. (D) Application of Markov Clustering Algorithm ‘MCL’ to the consensus network generated in <xref ref-type= Figure 2 . Visualized is a subnetwork consisting of only three genes (FOXP3, HPGD, and MEOX1). (E) Analysis of MEOX1 protein expression in either unstimulated T reg cells or in T reg cells stimulated with 100 U/ml IL-2 overnight by immunoblotting. (F) MFI (left) and exemplary histogram (right) of MEOX1 expression in human T reg cells and naïve T conv cells. PBMCs were isolated from buffy coats and stimulated overnight with 100 U/ml IL-2 (n=3 of different donors). T reg cells (red) were gated on size, singlets, live, CD4 + , CD3 + , FOXP3 + (Clone 206D), CD45RA - and T conv cells (blue) were gated on size, singlets, live, CD4 + , CD3 + , FOXP3 - (Clone 206D), CD45RA + . Secondary antibody controls are depicted in light (T reg cells) and dark grey (T conv cells). *p < 0.05 (paired Student’s t-test). (G) MEOX1 gene expression in T reg cells (red), T reg cells stimulated with IL-2 (light ref), T reg cells incubated with supernatant from stimulated T conv cells (rose) and T reg cells incubated with supernatant from stimulated T conv cells in combination with anti-CD25 and anti-IL-2 antibodies (grey) assessed by qRT-PCR and normalized to B2M. Data is from one representative experiment of three (mean and s.e.m.) with cells derived from different donors. *p < 0.05 (two-way ANOVA). " width="250" height="auto" />
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Assessment of T reg cell specific expression of MEOX1 (A) Expression of MEOX1 in activated T reg cells and T conv cells over a time period of 360 min (n=2; dataset: GSE11929). (B) MEOX1 gene expression in different immune cells assessed by qRT-PCR and normalized to B2M (n=3). *p < 0.05 (paired Student’s t-test), ** p < 0.01 (paired Student’s t-test). (C) MEOX1 gene expression in different immune cells according to the NextBio database. (D) Application of Markov Clustering Algorithm ‘MCL’ to the consensus network generated in <xref ref-type= Figure 2 . Visualized is a subnetwork consisting of only three genes (FOXP3, HPGD, and MEOX1). (E) Analysis of MEOX1 protein expression in either unstimulated T reg cells or in T reg cells stimulated with 100 U/ml IL-2 overnight by immunoblotting. (F) MFI (left) and exemplary histogram (right) of MEOX1 expression in human T reg cells and naïve T conv cells. PBMCs were isolated from buffy coats and stimulated overnight with 100 U/ml IL-2 (n=3 of different donors). T reg cells (red) were gated on size, singlets, live, CD4 + , CD3 + , FOXP3 + (Clone 206D), CD45RA - and T conv cells (blue) were gated on size, singlets, live, CD4 + , CD3 + , FOXP3 - (Clone 206D), CD45RA + . Secondary antibody controls are depicted in light (T reg cells) and dark grey (T conv cells). *p < 0.05 (paired Student’s t-test). (G) MEOX1 gene expression in T reg cells (red), T reg cells stimulated with IL-2 (light ref), T reg cells incubated with supernatant from stimulated T conv cells (rose) and T reg cells incubated with supernatant from stimulated T conv cells in combination with anti-CD25 and anti-IL-2 antibodies (grey) assessed by qRT-PCR and normalized to B2M. Data is from one representative experiment of three (mean and s.e.m.) with cells derived from different donors. *p < 0.05 (two-way ANOVA). " width="250" height="auto" />
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Assessment of T reg cell specific expression of MEOX1 (A) Expression of MEOX1 in activated T reg cells and T conv cells over a time period of 360 min (n=2; dataset: GSE11929). (B) MEOX1 gene expression in different immune cells assessed by qRT-PCR and normalized to B2M (n=3). *p < 0.05 (paired Student’s t-test), ** p < 0.01 (paired Student’s t-test). (C) MEOX1 gene expression in different immune cells according to the NextBio database. (D) Application of Markov Clustering Algorithm ‘MCL’ to the consensus network generated in <xref ref-type= Figure 2 . Visualized is a subnetwork consisting of only three genes (FOXP3, HPGD, and MEOX1). (E) Analysis of MEOX1 protein expression in either unstimulated T reg cells or in T reg cells stimulated with 100 U/ml IL-2 overnight by immunoblotting. (F) MFI (left) and exemplary histogram (right) of MEOX1 expression in human T reg cells and naïve T conv cells. PBMCs were isolated from buffy coats and stimulated overnight with 100 U/ml IL-2 (n=3 of different donors). T reg cells (red) were gated on size, singlets, live, CD4 + , CD3 + , FOXP3 + (Clone 206D), CD45RA - and T conv cells (blue) were gated on size, singlets, live, CD4 + , CD3 + , FOXP3 - (Clone 206D), CD45RA + . Secondary antibody controls are depicted in light (T reg cells) and dark grey (T conv cells). *p < 0.05 (paired Student’s t-test). (G) MEOX1 gene expression in T reg cells (red), T reg cells stimulated with IL-2 (light ref), T reg cells incubated with supernatant from stimulated T conv cells (rose) and T reg cells incubated with supernatant from stimulated T conv cells in combination with anti-CD25 and anti-IL-2 antibodies (grey) assessed by qRT-PCR and normalized to B2M. Data is from one representative experiment of three (mean and s.e.m.) with cells derived from different donors. *p < 0.05 (two-way ANOVA). " width="250" height="auto" />
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Figure 2. srGAP3 protein and mRNA levels are reduced in breast cancer cell lines partly through epigenetic regulation. (a) Protein levels of srGAP3 in MDA-MB-231, Hs578t, SKBR7, BT474, T47D, HCC1954, MDA-MB-468, BT549, MCF7 and SKBR3 breast cancer cell lines and two normal mammary epithelial cell lines, MCF10A and HMEC are shown on western blots. Actin is used as a control. The following cell culture conditions were used: BT474, MCF7 and T47D in DMEM supplemented with L-glutamine and 10% serum; HCC1954, SKBR7 and BT549 in RPMI1640 supplemented with L-glutamine and 10% serum; MDA-MB-231 and MDA-MB-468 in Leibovitz L15 and 10% serum; Hs578t in DMEM supplemented with L-glutamine, non-essential amino acids and 10% serum; HMECs (Lonza) immortalized with hTERT using pBabe-hygro- hTERT (Addgene plasmid 1773,37 in MEGM; SKBR3 cells in DMEM F12 supplemented with L-glutamine, 15 mM HEPES and 10% serum; MCF10A in DMEM F12 supplemented with 20 ng/ml EGF, 0.5 mg/ml hydrocortizone, 100 ng/ml cholera toxin, 10 mg/ml insulin and 5% of horse serum. All cell lines were cultured with antibiotics at 37 1C and 5% CO2 except MDA-MB-231 and MDA-MB-468, which were incubated without CO2. (b) srGAP3 mRNA expression was analyzed by Q-PCR. <t>Total</t> <t>cellular</t> RNA was isolated from cells lines with the <t>RNAeasy</t> Mini kit (74104 Qiagen, Valencia, CA, USA). Reverse transcription-PCR (RT–PCR) was performed using SuperScript One-Step RT–PCR kit (Invitrogen) using 200 ng of total RNA for each reaction. Quantitative-PCR was performed using taqman reagents on the 7500 real-time PCR system (Applied Biosystem, Carlsbad, CA, USA). mRNA expression levels of srGAP3 (Hs00322672_m1, Applied Biosystem) were normalized to GAPDH mRNA levels (Hs99999905_m1, Applied Biosystem). Data are represented as fold inductions relative to HMECs. **Po0.01; ***Po0.001. (c) Oncomine microarray data analysis of srGAP3 expression in human breast cancer vs normal breast tissue is shown. The Student’s t-test was conducted using the Oncomine software (http://www.oncomine.org). The boxes represent the 25th through 75th percentiles; the horizontal lines represent the medians; the points represent the end of the ranges. In the left panel, 18 samples were analyzed and compared with 6 normal samples.20 In the right histogram a total of 32 invasive ductal breast carcinomas samples were compared with 3 normal samples.21 (d) srGAP3 expression levels were measured after inhibition of DNA methylation using 5-azacytidine, (5-AzaC, Sigma A2385) or histone deacetylation using trichostatin A, (TSA, Sigma T8552) in MCF7, BT549 and BT474 breast cancer cell lines. 1 105 cells were plated the day before treatment in a six-well plate and 5 mM or 10 mM of 5-AzaC was added for 96 h and 0.5 mM of TSA was added for 20–24 h. Protein lysates and RNA levels were analyzed after treatment. *Po0.05; **Po0.01; ***Po0.001.
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Figure 2. srGAP3 protein and mRNA levels are reduced in breast cancer cell lines partly through epigenetic regulation. (a) Protein levels of srGAP3 in MDA-MB-231, Hs578t, SKBR7, BT474, T47D, HCC1954, MDA-MB-468, BT549, MCF7 and SKBR3 breast cancer cell lines and two normal mammary epithelial cell lines, MCF10A and HMEC are shown on western blots. Actin is used as a control. The following cell culture conditions were used: BT474, MCF7 and T47D in DMEM supplemented with L-glutamine and 10% serum; HCC1954, SKBR7 and BT549 in RPMI1640 supplemented with L-glutamine and 10% serum; MDA-MB-231 and MDA-MB-468 in Leibovitz L15 and 10% serum; Hs578t in DMEM supplemented with L-glutamine, non-essential amino acids and 10% serum; HMECs (Lonza) immortalized with hTERT using pBabe-hygro- hTERT (Addgene plasmid 1773,37 in MEGM; SKBR3 cells in DMEM F12 supplemented with L-glutamine, 15 mM HEPES and 10% serum; MCF10A in DMEM F12 supplemented with 20 ng/ml EGF, 0.5 mg/ml hydrocortizone, 100 ng/ml cholera toxin, 10 mg/ml insulin and 5% of horse serum. All cell lines were cultured with antibiotics at 37 1C and 5% CO2 except MDA-MB-231 and MDA-MB-468, which were incubated without CO2. (b) srGAP3 mRNA expression was analyzed by Q-PCR. <t>Total</t> <t>cellular</t> RNA was isolated from cells lines with the <t>RNAeasy</t> Mini kit (74104 Qiagen, Valencia, CA, USA). Reverse transcription-PCR (RT–PCR) was performed using SuperScript One-Step RT–PCR kit (Invitrogen) using 200 ng of total RNA for each reaction. Quantitative-PCR was performed using taqman reagents on the 7500 real-time PCR system (Applied Biosystem, Carlsbad, CA, USA). mRNA expression levels of srGAP3 (Hs00322672_m1, Applied Biosystem) were normalized to GAPDH mRNA levels (Hs99999905_m1, Applied Biosystem). Data are represented as fold inductions relative to HMECs. **Po0.01; ***Po0.001. (c) Oncomine microarray data analysis of srGAP3 expression in human breast cancer vs normal breast tissue is shown. The Student’s t-test was conducted using the Oncomine software (http://www.oncomine.org). The boxes represent the 25th through 75th percentiles; the horizontal lines represent the medians; the points represent the end of the ranges. In the left panel, 18 samples were analyzed and compared with 6 normal samples.20 In the right histogram a total of 32 invasive ductal breast carcinomas samples were compared with 3 normal samples.21 (d) srGAP3 expression levels were measured after inhibition of DNA methylation using 5-azacytidine, (5-AzaC, Sigma A2385) or histone deacetylation using trichostatin A, (TSA, Sigma T8552) in MCF7, BT549 and BT474 breast cancer cell lines. 1 105 cells were plated the day before treatment in a six-well plate and 5 mM or 10 mM of 5-AzaC was added for 96 h and 0.5 mM of TSA was added for 20–24 h. Protein lysates and RNA levels were analyzed after treatment. *Po0.05; **Po0.01; ***Po0.001.
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Figure 2. srGAP3 protein and mRNA levels are reduced in breast cancer cell lines partly through epigenetic regulation. (a) Protein levels of srGAP3 in MDA-MB-231, Hs578t, SKBR7, BT474, T47D, HCC1954, MDA-MB-468, BT549, MCF7 and SKBR3 breast cancer cell lines and two normal mammary epithelial cell lines, MCF10A and HMEC are shown on western blots. Actin is used as a control. The following cell culture conditions were used: BT474, MCF7 and T47D in DMEM supplemented with L-glutamine and 10% serum; HCC1954, SKBR7 and BT549 in RPMI1640 supplemented with L-glutamine and 10% serum; MDA-MB-231 and MDA-MB-468 in Leibovitz L15 and 10% serum; Hs578t in DMEM supplemented with L-glutamine, non-essential amino acids and 10% serum; HMECs (Lonza) immortalized with hTERT using pBabe-hygro- hTERT (Addgene plasmid 1773,37 in MEGM; SKBR3 cells in DMEM F12 supplemented with L-glutamine, 15 mM HEPES and 10% serum; MCF10A in DMEM F12 supplemented with 20 ng/ml EGF, 0.5 mg/ml hydrocortizone, 100 ng/ml cholera toxin, 10 mg/ml insulin and 5% of horse serum. All cell lines were cultured with antibiotics at 37 1C and 5% CO2 except MDA-MB-231 and MDA-MB-468, which were incubated without CO2. (b) srGAP3 mRNA expression was analyzed by Q-PCR. <t>Total</t> <t>cellular</t> RNA was isolated from cells lines with the <t>RNAeasy</t> Mini kit (74104 Qiagen, Valencia, CA, USA). Reverse transcription-PCR (RT–PCR) was performed using SuperScript One-Step RT–PCR kit (Invitrogen) using 200 ng of total RNA for each reaction. Quantitative-PCR was performed using taqman reagents on the 7500 real-time PCR system (Applied Biosystem, Carlsbad, CA, USA). mRNA expression levels of srGAP3 (Hs00322672_m1, Applied Biosystem) were normalized to GAPDH mRNA levels (Hs99999905_m1, Applied Biosystem). Data are represented as fold inductions relative to HMECs. **Po0.01; ***Po0.001. (c) Oncomine microarray data analysis of srGAP3 expression in human breast cancer vs normal breast tissue is shown. The Student’s t-test was conducted using the Oncomine software (http://www.oncomine.org). The boxes represent the 25th through 75th percentiles; the horizontal lines represent the medians; the points represent the end of the ranges. In the left panel, 18 samples were analyzed and compared with 6 normal samples.20 In the right histogram a total of 32 invasive ductal breast carcinomas samples were compared with 3 normal samples.21 (d) srGAP3 expression levels were measured after inhibition of DNA methylation using 5-azacytidine, (5-AzaC, Sigma A2385) or histone deacetylation using trichostatin A, (TSA, Sigma T8552) in MCF7, BT549 and BT474 breast cancer cell lines. 1 105 cells were plated the day before treatment in a six-well plate and 5 mM or 10 mM of 5-AzaC was added for 96 h and 0.5 mM of TSA was added for 20–24 h. Protein lysates and RNA levels were analyzed after treatment. *Po0.05; **Po0.01; ***Po0.001.
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Figure 2. srGAP3 protein and mRNA levels are reduced in breast cancer cell lines partly through epigenetic regulation. (a) Protein levels of srGAP3 in MDA-MB-231, Hs578t, SKBR7, BT474, T47D, HCC1954, MDA-MB-468, BT549, MCF7 and SKBR3 breast cancer cell lines and two normal mammary epithelial cell lines, MCF10A and HMEC are shown on western blots. Actin is used as a control. The following cell culture conditions were used: BT474, MCF7 and T47D in DMEM supplemented with L-glutamine and 10% serum; HCC1954, SKBR7 and BT549 in RPMI1640 supplemented with L-glutamine and 10% serum; MDA-MB-231 and MDA-MB-468 in Leibovitz L15 and 10% serum; Hs578t in DMEM supplemented with L-glutamine, non-essential amino acids and 10% serum; HMECs (Lonza) immortalized with hTERT using pBabe-hygro- hTERT (Addgene plasmid 1773,37 in MEGM; SKBR3 cells in DMEM F12 supplemented with L-glutamine, 15 mM HEPES and 10% serum; MCF10A in DMEM F12 supplemented with 20 ng/ml EGF, 0.5 mg/ml hydrocortizone, 100 ng/ml cholera toxin, 10 mg/ml insulin and 5% of horse serum. All cell lines were cultured with antibiotics at 37 1C and 5% CO2 except MDA-MB-231 and MDA-MB-468, which were incubated without CO2. (b) srGAP3 mRNA expression was analyzed by Q-PCR. <t>Total</t> <t>cellular</t> RNA was isolated from cells lines with the <t>RNAeasy</t> Mini kit (74104 Qiagen, Valencia, CA, USA). Reverse transcription-PCR (RT–PCR) was performed using SuperScript One-Step RT–PCR kit (Invitrogen) using 200 ng of total RNA for each reaction. Quantitative-PCR was performed using taqman reagents on the 7500 real-time PCR system (Applied Biosystem, Carlsbad, CA, USA). mRNA expression levels of srGAP3 (Hs00322672_m1, Applied Biosystem) were normalized to GAPDH mRNA levels (Hs99999905_m1, Applied Biosystem). Data are represented as fold inductions relative to HMECs. **Po0.01; ***Po0.001. (c) Oncomine microarray data analysis of srGAP3 expression in human breast cancer vs normal breast tissue is shown. The Student’s t-test was conducted using the Oncomine software (http://www.oncomine.org). The boxes represent the 25th through 75th percentiles; the horizontal lines represent the medians; the points represent the end of the ranges. In the left panel, 18 samples were analyzed and compared with 6 normal samples.20 In the right histogram a total of 32 invasive ductal breast carcinomas samples were compared with 3 normal samples.21 (d) srGAP3 expression levels were measured after inhibition of DNA methylation using 5-azacytidine, (5-AzaC, Sigma A2385) or histone deacetylation using trichostatin A, (TSA, Sigma T8552) in MCF7, BT549 and BT474 breast cancer cell lines. 1 105 cells were plated the day before treatment in a six-well plate and 5 mM or 10 mM of 5-AzaC was added for 96 h and 0.5 mM of TSA was added for 20–24 h. Protein lysates and RNA levels were analyzed after treatment. *Po0.05; **Po0.01; ***Po0.001.
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Figure 2. srGAP3 protein and mRNA levels are reduced in breast cancer cell lines partly through epigenetic regulation. (a) Protein levels of srGAP3 in MDA-MB-231, Hs578t, SKBR7, BT474, T47D, HCC1954, MDA-MB-468, BT549, MCF7 and SKBR3 breast cancer cell lines and two normal mammary epithelial cell lines, MCF10A and HMEC are shown on western blots. Actin is used as a control. The following cell culture conditions were used: BT474, MCF7 and T47D in DMEM supplemented with L-glutamine and 10% serum; HCC1954, SKBR7 and BT549 in RPMI1640 supplemented with L-glutamine and 10% serum; MDA-MB-231 and MDA-MB-468 in Leibovitz L15 and 10% serum; Hs578t in DMEM supplemented with L-glutamine, non-essential amino acids and 10% serum; HMECs (Lonza) immortalized with hTERT using pBabe-hygro- hTERT (Addgene plasmid 1773,37 in MEGM; SKBR3 cells in DMEM F12 supplemented with L-glutamine, 15 mM HEPES and 10% serum; MCF10A in DMEM F12 supplemented with 20 ng/ml EGF, 0.5 mg/ml hydrocortizone, 100 ng/ml cholera toxin, 10 mg/ml insulin and 5% of horse serum. All cell lines were cultured with antibiotics at 37 1C and 5% CO2 except MDA-MB-231 and MDA-MB-468, which were incubated without CO2. (b) srGAP3 mRNA expression was analyzed by Q-PCR. <t>Total</t> <t>cellular</t> RNA was isolated from cells lines with the <t>RNAeasy</t> Mini kit (74104 Qiagen, Valencia, CA, USA). Reverse transcription-PCR (RT–PCR) was performed using SuperScript One-Step RT–PCR kit (Invitrogen) using 200 ng of total RNA for each reaction. Quantitative-PCR was performed using taqman reagents on the 7500 real-time PCR system (Applied Biosystem, Carlsbad, CA, USA). mRNA expression levels of srGAP3 (Hs00322672_m1, Applied Biosystem) were normalized to GAPDH mRNA levels (Hs99999905_m1, Applied Biosystem). Data are represented as fold inductions relative to HMECs. **Po0.01; ***Po0.001. (c) Oncomine microarray data analysis of srGAP3 expression in human breast cancer vs normal breast tissue is shown. The Student’s t-test was conducted using the Oncomine software (http://www.oncomine.org). The boxes represent the 25th through 75th percentiles; the horizontal lines represent the medians; the points represent the end of the ranges. In the left panel, 18 samples were analyzed and compared with 6 normal samples.20 In the right histogram a total of 32 invasive ductal breast carcinomas samples were compared with 3 normal samples.21 (d) srGAP3 expression levels were measured after inhibition of DNA methylation using 5-azacytidine, (5-AzaC, Sigma A2385) or histone deacetylation using trichostatin A, (TSA, Sigma T8552) in MCF7, BT549 and BT474 breast cancer cell lines. 1 105 cells were plated the day before treatment in a six-well plate and 5 mM or 10 mM of 5-AzaC was added for 96 h and 0.5 mM of TSA was added for 20–24 h. Protein lysates and RNA levels were analyzed after treatment. *Po0.05; **Po0.01; ***Po0.001.
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Assessment of T reg cell specific expression of MEOX1 (A) Expression of MEOX1 in activated T reg cells and T conv cells over a time period of 360 min (n=2; dataset: GSE11929). (B) MEOX1 gene expression in different immune cells assessed by qRT-PCR and normalized to B2M (n=3). *p < 0.05 (paired Student’s t-test), ** p < 0.01 (paired Student’s t-test). (C) MEOX1 gene expression in different immune cells according to the NextBio database. (D) Application of Markov Clustering Algorithm ‘MCL’ to the consensus network generated in <xref ref-type= Figure 2 . Visualized is a subnetwork consisting of only three genes (FOXP3, HPGD, and MEOX1). (E) Analysis of MEOX1 protein expression in either unstimulated T reg cells or in T reg cells stimulated with 100 U/ml IL-2 overnight by immunoblotting. (F) MFI (left) and exemplary histogram (right) of MEOX1 expression in human T reg cells and naïve T conv cells. PBMCs were isolated from buffy coats and stimulated overnight with 100 U/ml IL-2 (n=3 of different donors). T reg cells (red) were gated on size, singlets, live, CD4 + , CD3 + , FOXP3 + (Clone 206D), CD45RA - and T conv cells (blue) were gated on size, singlets, live, CD4 + , CD3 + , FOXP3 - (Clone 206D), CD45RA + . Secondary antibody controls are depicted in light (T reg cells) and dark grey (T conv cells). *p < 0.05 (paired Student’s t-test). (G) MEOX1 gene expression in T reg cells (red), T reg cells stimulated with IL-2 (light ref), T reg cells incubated with supernatant from stimulated T conv cells (rose) and T reg cells incubated with supernatant from stimulated T conv cells in combination with anti-CD25 and anti-IL-2 antibodies (grey) assessed by qRT-PCR and normalized to B2M. Data is from one representative experiment of three (mean and s.e.m.) with cells derived from different donors. *p < 0.05 (two-way ANOVA). " width="250" height="auto" />
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Assessment of T reg cell specific expression of MEOX1 (A) Expression of MEOX1 in activated T reg cells and T conv cells over a time period of 360 min (n=2; dataset: GSE11929). (B) MEOX1 gene expression in different immune cells assessed by qRT-PCR and normalized to B2M (n=3). *p < 0.05 (paired Student’s t-test), ** p < 0.01 (paired Student’s t-test). (C) MEOX1 gene expression in different immune cells according to the NextBio database. (D) Application of Markov Clustering Algorithm ‘MCL’ to the consensus network generated in <xref ref-type= Figure 2 . Visualized is a subnetwork consisting of only three genes (FOXP3, HPGD, and MEOX1). (E) Analysis of MEOX1 protein expression in either unstimulated T reg cells or in T reg cells stimulated with 100 U/ml IL-2 overnight by immunoblotting. (F) MFI (left) and exemplary histogram (right) of MEOX1 expression in human T reg cells and naïve T conv cells. PBMCs were isolated from buffy coats and stimulated overnight with 100 U/ml IL-2 (n=3 of different donors). T reg cells (red) were gated on size, singlets, live, CD4 + , CD3 + , FOXP3 + (Clone 206D), CD45RA - and T conv cells (blue) were gated on size, singlets, live, CD4 + , CD3 + , FOXP3 - (Clone 206D), CD45RA + . Secondary antibody controls are depicted in light (T reg cells) and dark grey (T conv cells). *p < 0.05 (paired Student’s t-test). (G) MEOX1 gene expression in T reg cells (red), T reg cells stimulated with IL-2 (light ref), T reg cells incubated with supernatant from stimulated T conv cells (rose) and T reg cells incubated with supernatant from stimulated T conv cells in combination with anti-CD25 and anti-IL-2 antibodies (grey) assessed by qRT-PCR and normalized to B2M. Data is from one representative experiment of three (mean and s.e.m.) with cells derived from different donors. *p < 0.05 (two-way ANOVA). " width="250" height="auto" />
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DIAGENODE DIAGNOSTICS high sensitivity dna chip
Assessment of T reg cell specific expression of MEOX1 (A) Expression of MEOX1 in activated T reg cells and T conv cells over a time period of 360 min (n=2; dataset: GSE11929). (B) MEOX1 gene expression in different immune cells assessed by qRT-PCR and normalized to B2M (n=3). *p < 0.05 (paired Student’s t-test), ** p < 0.01 (paired Student’s t-test). (C) MEOX1 gene expression in different immune cells according to the NextBio database. (D) Application of Markov Clustering Algorithm ‘MCL’ to the consensus network generated in <xref ref-type= Figure 2 . Visualized is a subnetwork consisting of only three genes (FOXP3, HPGD, and MEOX1). (E) Analysis of MEOX1 protein expression in either unstimulated T reg cells or in T reg cells stimulated with 100 U/ml IL-2 overnight by immunoblotting. (F) MFI (left) and exemplary histogram (right) of MEOX1 expression in human T reg cells and naïve T conv cells. PBMCs were isolated from buffy coats and stimulated overnight with 100 U/ml IL-2 (n=3 of different donors). T reg cells (red) were gated on size, singlets, live, CD4 + , CD3 + , FOXP3 + (Clone 206D), CD45RA - and T conv cells (blue) were gated on size, singlets, live, CD4 + , CD3 + , FOXP3 - (Clone 206D), CD45RA + . Secondary antibody controls are depicted in light (T reg cells) and dark grey (T conv cells). *p < 0.05 (paired Student’s t-test). (G) MEOX1 gene expression in T reg cells (red), T reg cells stimulated with IL-2 (light ref), T reg cells incubated with supernatant from stimulated T conv cells (rose) and T reg cells incubated with supernatant from stimulated T conv cells in combination with anti-CD25 and anti-IL-2 antibodies (grey) assessed by qRT-PCR and normalized to B2M. Data is from one representative experiment of three (mean and s.e.m.) with cells derived from different donors. *p < 0.05 (two-way ANOVA). " width="250" height="auto" />
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Assessment of T reg cell specific expression of MEOX1 (A) Expression of MEOX1 in activated T reg cells and T conv cells over a time period of 360 min (n=2; dataset: GSE11929). (B) MEOX1 gene expression in different immune cells assessed by qRT-PCR and normalized to B2M (n=3). *p < 0.05 (paired Student’s t-test), ** p < 0.01 (paired Student’s t-test). (C) MEOX1 gene expression in different immune cells according to the NextBio database. (D) Application of Markov Clustering Algorithm ‘MCL’ to the consensus network generated in <xref ref-type= Figure 2 . Visualized is a subnetwork consisting of only three genes (FOXP3, HPGD, and MEOX1). (E) Analysis of MEOX1 protein expression in either unstimulated T reg cells or in T reg cells stimulated with 100 U/ml IL-2 overnight by immunoblotting. (F) MFI (left) and exemplary histogram (right) of MEOX1 expression in human T reg cells and naïve T conv cells. PBMCs were isolated from buffy coats and stimulated overnight with 100 U/ml IL-2 (n=3 of different donors). T reg cells (red) were gated on size, singlets, live, CD4 + , CD3 + , FOXP3 + (Clone 206D), CD45RA - and T conv cells (blue) were gated on size, singlets, live, CD4 + , CD3 + , FOXP3 - (Clone 206D), CD45RA + . Secondary antibody controls are depicted in light (T reg cells) and dark grey (T conv cells). *p < 0.05 (paired Student’s t-test). (G) MEOX1 gene expression in T reg cells (red), T reg cells stimulated with IL-2 (light ref), T reg cells incubated with supernatant from stimulated T conv cells (rose) and T reg cells incubated with supernatant from stimulated T conv cells in combination with anti-CD25 and anti-IL-2 antibodies (grey) assessed by qRT-PCR and normalized to B2M. Data is from one representative experiment of three (mean and s.e.m.) with cells derived from different donors. *p < 0.05 (two-way ANOVA). " width="100%" height="100%">

Journal: Frontiers in Immunology

Article Title: Identification of the novel FOXP3-dependent T reg cell transcription factor MEOX1 by high-dimensional analysis of human CD4 + T cells

doi: 10.3389/fimmu.2023.1107397

Figure Lengend Snippet: Assessment of T reg cell specific expression of MEOX1 (A) Expression of MEOX1 in activated T reg cells and T conv cells over a time period of 360 min (n=2; dataset: GSE11929). (B) MEOX1 gene expression in different immune cells assessed by qRT-PCR and normalized to B2M (n=3). *p < 0.05 (paired Student’s t-test), ** p < 0.01 (paired Student’s t-test). (C) MEOX1 gene expression in different immune cells according to the NextBio database. (D) Application of Markov Clustering Algorithm ‘MCL’ to the consensus network generated in Figure 2 . Visualized is a subnetwork consisting of only three genes (FOXP3, HPGD, and MEOX1). (E) Analysis of MEOX1 protein expression in either unstimulated T reg cells or in T reg cells stimulated with 100 U/ml IL-2 overnight by immunoblotting. (F) MFI (left) and exemplary histogram (right) of MEOX1 expression in human T reg cells and naïve T conv cells. PBMCs were isolated from buffy coats and stimulated overnight with 100 U/ml IL-2 (n=3 of different donors). T reg cells (red) were gated on size, singlets, live, CD4 + , CD3 + , FOXP3 + (Clone 206D), CD45RA - and T conv cells (blue) were gated on size, singlets, live, CD4 + , CD3 + , FOXP3 - (Clone 206D), CD45RA + . Secondary antibody controls are depicted in light (T reg cells) and dark grey (T conv cells). *p < 0.05 (paired Student’s t-test). (G) MEOX1 gene expression in T reg cells (red), T reg cells stimulated with IL-2 (light ref), T reg cells incubated with supernatant from stimulated T conv cells (rose) and T reg cells incubated with supernatant from stimulated T conv cells in combination with anti-CD25 and anti-IL-2 antibodies (grey) assessed by qRT-PCR and normalized to B2M. Data is from one representative experiment of three (mean and s.e.m.) with cells derived from different donors. *p < 0.05 (two-way ANOVA).

Article Snippet: CD25 MicroBeads II, human , Miltenyi Biotec , Cat# 130-092-983.

Techniques: Expressing, Gene Expression, Quantitative RT-PCR, Generated, Western Blot, Isolation, Incubation, Derivative Assay

FOXP3 as upstream regulator of MEOX1 expression. (A) Module genes correlated with ‘T reg cell CD3/IL-2’ which exhibit a FOXP3 binding-motif in their promoter region. Genes were colored according to their respective fold change (reference: ‘T conv cell resting’). (B) FOXP3 ChIP tiling array data from human expanded cord-blood T reg cells. Data were analyzed with MAT and overlayed to the MEOX1 locus to identify binding regions (p < 10 -5 and FDR < 0.5%). Data are representative of two independent experiments with cells derived from different donors. (C) Overlay of MeDip-seq and FOXP3 ChIP-seq data (SRA : SRP006674) for the human genomic MEOX1 locus. FOXP3 binding as well as DNA methylation is depicted for T reg (red) and T conv cells (blue). (D) mRNA expression of FOXP3 and MEOX1 in T reg cells treated with scrambled (scrmbld, left) or FOXP3 specific (right) siRNA (E) mRNA expression of FOXP3 and MEOX1 in T reg cells treated with scrambled (left) or MEOX1 specific (right) siRNA (F) mRNA expression of RPS27L in T reg cells treated with scrambled, MEOX1 or FOXP3 specific siRNA. (D–F) Data were first normalized to B2M expression and shown in relation to donor-specific scrambled mRNA expression. (D,E) *p < 0.05 (Student’s t-test). (F) *p < 0.05 (two-way ANOVA). (D–F) Data are representative of three to five independent experiments (mean ± s.e.m.), each with cells derived from a different donor. (G, H) Suppression of allogeneic CD4 + CD25 - T conv cells labelled with the cytosolic dye CFSE by human T reg cells transfected with siRNA targeting MEOX1 (MEOX1) or non-targeting siRNA (scrmbld) presented as CFSE dilution in responding T conv cells cultured with CD3/CD28/anti-MHC-I antibody-coated beads and T reg cells at a ratio of 1:1 (G) , and as relative suppression (H) . Data is from one representative experiment of three with cells derived from different donors. *p < 0.05 (paired Student’s t-test). n.s. = not significant.

Journal: Frontiers in Immunology

Article Title: Identification of the novel FOXP3-dependent T reg cell transcription factor MEOX1 by high-dimensional analysis of human CD4 + T cells

doi: 10.3389/fimmu.2023.1107397

Figure Lengend Snippet: FOXP3 as upstream regulator of MEOX1 expression. (A) Module genes correlated with ‘T reg cell CD3/IL-2’ which exhibit a FOXP3 binding-motif in their promoter region. Genes were colored according to their respective fold change (reference: ‘T conv cell resting’). (B) FOXP3 ChIP tiling array data from human expanded cord-blood T reg cells. Data were analyzed with MAT and overlayed to the MEOX1 locus to identify binding regions (p < 10 -5 and FDR < 0.5%). Data are representative of two independent experiments with cells derived from different donors. (C) Overlay of MeDip-seq and FOXP3 ChIP-seq data (SRA : SRP006674) for the human genomic MEOX1 locus. FOXP3 binding as well as DNA methylation is depicted for T reg (red) and T conv cells (blue). (D) mRNA expression of FOXP3 and MEOX1 in T reg cells treated with scrambled (scrmbld, left) or FOXP3 specific (right) siRNA (E) mRNA expression of FOXP3 and MEOX1 in T reg cells treated with scrambled (left) or MEOX1 specific (right) siRNA (F) mRNA expression of RPS27L in T reg cells treated with scrambled, MEOX1 or FOXP3 specific siRNA. (D–F) Data were first normalized to B2M expression and shown in relation to donor-specific scrambled mRNA expression. (D,E) *p < 0.05 (Student’s t-test). (F) *p < 0.05 (two-way ANOVA). (D–F) Data are representative of three to five independent experiments (mean ± s.e.m.), each with cells derived from a different donor. (G, H) Suppression of allogeneic CD4 + CD25 - T conv cells labelled with the cytosolic dye CFSE by human T reg cells transfected with siRNA targeting MEOX1 (MEOX1) or non-targeting siRNA (scrmbld) presented as CFSE dilution in responding T conv cells cultured with CD3/CD28/anti-MHC-I antibody-coated beads and T reg cells at a ratio of 1:1 (G) , and as relative suppression (H) . Data is from one representative experiment of three with cells derived from different donors. *p < 0.05 (paired Student’s t-test). n.s. = not significant.

Article Snippet: CD25 MicroBeads II, human , Miltenyi Biotec , Cat# 130-092-983.

Techniques: Expressing, Binding Assay, Derivative Assay, Methylated DNA Immunoprecipitation, ChIP-sequencing, DNA Methylation Assay, Transfection, Cell Culture

Journal: Frontiers in Immunology

Article Title: Identification of the novel FOXP3-dependent T reg cell transcription factor MEOX1 by high-dimensional analysis of human CD4 + T cells

doi: 10.3389/fimmu.2023.1107397

Figure Lengend Snippet:

Article Snippet: CD25 MicroBeads II, human , Miltenyi Biotec , Cat# 130-092-983.

Techniques: Recombinant, Reverse Transcription, Derivative Assay, Protease Inhibitor, One Step RT-PCR, Staining, cDNA Synthesis, SYBR Green Assay, Gel Extraction, Purification, Microarray, Methylated DNA Immunoprecipitation Sequencing, Modification, Software

Figure 2. srGAP3 protein and mRNA levels are reduced in breast cancer cell lines partly through epigenetic regulation. (a) Protein levels of srGAP3 in MDA-MB-231, Hs578t, SKBR7, BT474, T47D, HCC1954, MDA-MB-468, BT549, MCF7 and SKBR3 breast cancer cell lines and two normal mammary epithelial cell lines, MCF10A and HMEC are shown on western blots. Actin is used as a control. The following cell culture conditions were used: BT474, MCF7 and T47D in DMEM supplemented with L-glutamine and 10% serum; HCC1954, SKBR7 and BT549 in RPMI1640 supplemented with L-glutamine and 10% serum; MDA-MB-231 and MDA-MB-468 in Leibovitz L15 and 10% serum; Hs578t in DMEM supplemented with L-glutamine, non-essential amino acids and 10% serum; HMECs (Lonza) immortalized with hTERT using pBabe-hygro- hTERT (Addgene plasmid 1773,37 in MEGM; SKBR3 cells in DMEM F12 supplemented with L-glutamine, 15 mM HEPES and 10% serum; MCF10A in DMEM F12 supplemented with 20 ng/ml EGF, 0.5 mg/ml hydrocortizone, 100 ng/ml cholera toxin, 10 mg/ml insulin and 5% of horse serum. All cell lines were cultured with antibiotics at 37 1C and 5% CO2 except MDA-MB-231 and MDA-MB-468, which were incubated without CO2. (b) srGAP3 mRNA expression was analyzed by Q-PCR. Total cellular RNA was isolated from cells lines with the RNAeasy Mini kit (74104 Qiagen, Valencia, CA, USA). Reverse transcription-PCR (RT–PCR) was performed using SuperScript One-Step RT–PCR kit (Invitrogen) using 200 ng of total RNA for each reaction. Quantitative-PCR was performed using taqman reagents on the 7500 real-time PCR system (Applied Biosystem, Carlsbad, CA, USA). mRNA expression levels of srGAP3 (Hs00322672_m1, Applied Biosystem) were normalized to GAPDH mRNA levels (Hs99999905_m1, Applied Biosystem). Data are represented as fold inductions relative to HMECs. **Po0.01; ***Po0.001. (c) Oncomine microarray data analysis of srGAP3 expression in human breast cancer vs normal breast tissue is shown. The Student’s t-test was conducted using the Oncomine software (http://www.oncomine.org). The boxes represent the 25th through 75th percentiles; the horizontal lines represent the medians; the points represent the end of the ranges. In the left panel, 18 samples were analyzed and compared with 6 normal samples.20 In the right histogram a total of 32 invasive ductal breast carcinomas samples were compared with 3 normal samples.21 (d) srGAP3 expression levels were measured after inhibition of DNA methylation using 5-azacytidine, (5-AzaC, Sigma A2385) or histone deacetylation using trichostatin A, (TSA, Sigma T8552) in MCF7, BT549 and BT474 breast cancer cell lines. 1 105 cells were plated the day before treatment in a six-well plate and 5 mM or 10 mM of 5-AzaC was added for 96 h and 0.5 mM of TSA was added for 20–24 h. Protein lysates and RNA levels were analyzed after treatment. *Po0.05; **Po0.01; ***Po0.001.

Journal: Oncogene

Article Title: A tumor suppressor role for srGAP3 in mammary epithelial cells.

doi: 10.1038/onc.2012.489

Figure Lengend Snippet: Figure 2. srGAP3 protein and mRNA levels are reduced in breast cancer cell lines partly through epigenetic regulation. (a) Protein levels of srGAP3 in MDA-MB-231, Hs578t, SKBR7, BT474, T47D, HCC1954, MDA-MB-468, BT549, MCF7 and SKBR3 breast cancer cell lines and two normal mammary epithelial cell lines, MCF10A and HMEC are shown on western blots. Actin is used as a control. The following cell culture conditions were used: BT474, MCF7 and T47D in DMEM supplemented with L-glutamine and 10% serum; HCC1954, SKBR7 and BT549 in RPMI1640 supplemented with L-glutamine and 10% serum; MDA-MB-231 and MDA-MB-468 in Leibovitz L15 and 10% serum; Hs578t in DMEM supplemented with L-glutamine, non-essential amino acids and 10% serum; HMECs (Lonza) immortalized with hTERT using pBabe-hygro- hTERT (Addgene plasmid 1773,37 in MEGM; SKBR3 cells in DMEM F12 supplemented with L-glutamine, 15 mM HEPES and 10% serum; MCF10A in DMEM F12 supplemented with 20 ng/ml EGF, 0.5 mg/ml hydrocortizone, 100 ng/ml cholera toxin, 10 mg/ml insulin and 5% of horse serum. All cell lines were cultured with antibiotics at 37 1C and 5% CO2 except MDA-MB-231 and MDA-MB-468, which were incubated without CO2. (b) srGAP3 mRNA expression was analyzed by Q-PCR. Total cellular RNA was isolated from cells lines with the RNAeasy Mini kit (74104 Qiagen, Valencia, CA, USA). Reverse transcription-PCR (RT–PCR) was performed using SuperScript One-Step RT–PCR kit (Invitrogen) using 200 ng of total RNA for each reaction. Quantitative-PCR was performed using taqman reagents on the 7500 real-time PCR system (Applied Biosystem, Carlsbad, CA, USA). mRNA expression levels of srGAP3 (Hs00322672_m1, Applied Biosystem) were normalized to GAPDH mRNA levels (Hs99999905_m1, Applied Biosystem). Data are represented as fold inductions relative to HMECs. **Po0.01; ***Po0.001. (c) Oncomine microarray data analysis of srGAP3 expression in human breast cancer vs normal breast tissue is shown. The Student’s t-test was conducted using the Oncomine software (http://www.oncomine.org). The boxes represent the 25th through 75th percentiles; the horizontal lines represent the medians; the points represent the end of the ranges. In the left panel, 18 samples were analyzed and compared with 6 normal samples.20 In the right histogram a total of 32 invasive ductal breast carcinomas samples were compared with 3 normal samples.21 (d) srGAP3 expression levels were measured after inhibition of DNA methylation using 5-azacytidine, (5-AzaC, Sigma A2385) or histone deacetylation using trichostatin A, (TSA, Sigma T8552) in MCF7, BT549 and BT474 breast cancer cell lines. 1 105 cells were plated the day before treatment in a six-well plate and 5 mM or 10 mM of 5-AzaC was added for 96 h and 0.5 mM of TSA was added for 20–24 h. Protein lysates and RNA levels were analyzed after treatment. *Po0.05; **Po0.01; ***Po0.001.

Article Snippet: Total cellular RNA was isolated from cells lines with the RNAeasy Mini kit (74104 Qiagen, Valencia, CA, USA).

Techniques: Western Blot, Control, Cell Culture, Plasmid Preparation, Incubation, Expressing, Isolation, Reverse Transcription, Reverse Transcription Polymerase Chain Reaction, One Step RT-PCR, Real-time Polymerase Chain Reaction, Microarray, Software, Inhibition, DNA Methylation Assay

Assessment of T reg cell specific expression of MEOX1 (A) Expression of MEOX1 in activated T reg cells and T conv cells over a time period of 360 min (n=2; dataset: GSE11929). (B) MEOX1 gene expression in different immune cells assessed by qRT-PCR and normalized to B2M (n=3). *p < 0.05 (paired Student’s t-test), ** p < 0.01 (paired Student’s t-test). (C) MEOX1 gene expression in different immune cells according to the NextBio database. (D) Application of Markov Clustering Algorithm ‘MCL’ to the consensus network generated in <xref ref-type= Figure 2 . Visualized is a subnetwork consisting of only three genes (FOXP3, HPGD, and MEOX1). (E) Analysis of MEOX1 protein expression in either unstimulated T reg cells or in T reg cells stimulated with 100 U/ml IL-2 overnight by immunoblotting. (F) MFI (left) and exemplary histogram (right) of MEOX1 expression in human T reg cells and naïve T conv cells. PBMCs were isolated from buffy coats and stimulated overnight with 100 U/ml IL-2 (n=3 of different donors). T reg cells (red) were gated on size, singlets, live, CD4 + , CD3 + , FOXP3 + (Clone 206D), CD45RA - and T conv cells (blue) were gated on size, singlets, live, CD4 + , CD3 + , FOXP3 - (Clone 206D), CD45RA + . Secondary antibody controls are depicted in light (T reg cells) and dark grey (T conv cells). *p < 0.05 (paired Student’s t-test). (G) MEOX1 gene expression in T reg cells (red), T reg cells stimulated with IL-2 (light ref), T reg cells incubated with supernatant from stimulated T conv cells (rose) and T reg cells incubated with supernatant from stimulated T conv cells in combination with anti-CD25 and anti-IL-2 antibodies (grey) assessed by qRT-PCR and normalized to B2M. Data is from one representative experiment of three (mean and s.e.m.) with cells derived from different donors. *p < 0.05 (two-way ANOVA). " width="100%" height="100%">

Journal: Frontiers in Immunology

Article Title: Identification of the novel FOXP3-dependent T reg cell transcription factor MEOX1 by high-dimensional analysis of human CD4 + T cells

doi: 10.3389/fimmu.2023.1107397

Figure Lengend Snippet: Assessment of T reg cell specific expression of MEOX1 (A) Expression of MEOX1 in activated T reg cells and T conv cells over a time period of 360 min (n=2; dataset: GSE11929). (B) MEOX1 gene expression in different immune cells assessed by qRT-PCR and normalized to B2M (n=3). *p < 0.05 (paired Student’s t-test), ** p < 0.01 (paired Student’s t-test). (C) MEOX1 gene expression in different immune cells according to the NextBio database. (D) Application of Markov Clustering Algorithm ‘MCL’ to the consensus network generated in Figure 2 . Visualized is a subnetwork consisting of only three genes (FOXP3, HPGD, and MEOX1). (E) Analysis of MEOX1 protein expression in either unstimulated T reg cells or in T reg cells stimulated with 100 U/ml IL-2 overnight by immunoblotting. (F) MFI (left) and exemplary histogram (right) of MEOX1 expression in human T reg cells and naïve T conv cells. PBMCs were isolated from buffy coats and stimulated overnight with 100 U/ml IL-2 (n=3 of different donors). T reg cells (red) were gated on size, singlets, live, CD4 + , CD3 + , FOXP3 + (Clone 206D), CD45RA - and T conv cells (blue) were gated on size, singlets, live, CD4 + , CD3 + , FOXP3 - (Clone 206D), CD45RA + . Secondary antibody controls are depicted in light (T reg cells) and dark grey (T conv cells). *p < 0.05 (paired Student’s t-test). (G) MEOX1 gene expression in T reg cells (red), T reg cells stimulated with IL-2 (light ref), T reg cells incubated with supernatant from stimulated T conv cells (rose) and T reg cells incubated with supernatant from stimulated T conv cells in combination with anti-CD25 and anti-IL-2 antibodies (grey) assessed by qRT-PCR and normalized to B2M. Data is from one representative experiment of three (mean and s.e.m.) with cells derived from different donors. *p < 0.05 (two-way ANOVA).

Article Snippet: CD45RA MicroBeads, human , Miltenyi Biotec , Cat# 130-045-901.

Techniques: Expressing, Gene Expression, Quantitative RT-PCR, Generated, Western Blot, Isolation, Incubation, Derivative Assay

Journal: Frontiers in Immunology

Article Title: Identification of the novel FOXP3-dependent T reg cell transcription factor MEOX1 by high-dimensional analysis of human CD4 + T cells

doi: 10.3389/fimmu.2023.1107397

Figure Lengend Snippet:

Article Snippet: CD45RA MicroBeads, human , Miltenyi Biotec , Cat# 130-045-901.

Techniques: Recombinant, Reverse Transcription, Derivative Assay, Protease Inhibitor, One Step RT-PCR, Staining, cDNA Synthesis, SYBR Green Assay, Gel Extraction, Purification, Microarray, Methylated DNA Immunoprecipitation Sequencing, Modification, Software