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Differential expression of key genes in ectopic endometrial cells. qRT‐PCR validation of four key genes (HOXA10, ESR1, MMP9, and SPP1) in normal endometrial stromal <t>cells</t> <t>(NESCs)</t> and ectopic endometrial stromal cells <t>(EESCs).</t> Gene expression was normalized to GAPDH and presented as fold change relative to NESCs. Data are shown as mean ± SD ( n = 3). ∗∗∗ p < 0.001 versus NESCs.
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Differential expression of key genes in ectopic endometrial cells. qRT‐PCR validation of four key genes (HOXA10, ESR1, MMP9, and SPP1) in normal endometrial stromal <t>cells</t> <t>(NESCs)</t> and ectopic endometrial stromal cells <t>(EESCs).</t> Gene expression was normalized to GAPDH and presented as fold change relative to NESCs. Data are shown as mean ± SD ( n = 3). ∗∗∗ p < 0.001 versus NESCs.
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Differential expression of key genes in ectopic endometrial cells. qRT‐PCR validation of four key genes (HOXA10, ESR1, MMP9, and SPP1) in normal endometrial stromal <t>cells</t> <t>(NESCs)</t> and ectopic endometrial stromal cells <t>(EESCs).</t> Gene expression was normalized to GAPDH and presented as fold change relative to NESCs. Data are shown as mean ± SD ( n = 3). ∗∗∗ p < 0.001 versus NESCs.
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Differential expression of key genes in ectopic endometrial cells. qRT‐PCR validation of four key genes (HOXA10, ESR1, MMP9, and SPP1) in normal endometrial stromal <t>cells</t> <t>(NESCs)</t> and ectopic endometrial stromal cells <t>(EESCs).</t> Gene expression was normalized to GAPDH and presented as fold change relative to NESCs. Data are shown as mean ± SD ( n = 3). ∗∗∗ p < 0.001 versus NESCs.
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Differential expression of key genes in ectopic endometrial cells. qRT‐PCR validation of four key genes (HOXA10, ESR1, MMP9, and SPP1) in normal endometrial stromal <t>cells</t> <t>(NESCs)</t> and ectopic endometrial stromal cells <t>(EESCs).</t> Gene expression was normalized to GAPDH and presented as fold change relative to NESCs. Data are shown as mean ± SD ( n = 3). ∗∗∗ p < 0.001 versus NESCs.
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Differential expression of key genes in ectopic endometrial cells. qRT‐PCR validation of four key genes (HOXA10, ESR1, MMP9, and SPP1) in normal endometrial stromal cells <t>(NESCs)</t> and ectopic endometrial stromal <t>cells</t> <t>(EESCs).</t> Gene expression was normalized to GAPDH and presented as fold change relative to NESCs. Data are shown as mean ± SD ( n = 3). ∗∗∗ p < 0.001 versus NESCs.
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Differential expression of key genes in ectopic endometrial cells. qRT‐PCR validation of four key genes (HOXA10, ESR1, MMP9, and SPP1) in normal endometrial stromal cells <t>(NESCs)</t> and ectopic endometrial stromal <t>cells</t> <t>(EESCs).</t> Gene expression was normalized to GAPDH and presented as fold change relative to NESCs. Data are shown as mean ± SD ( n = 3). ∗∗∗ p < 0.001 versus NESCs.
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Differential expression of key genes in ectopic endometrial cells. qRT‐PCR validation of four key genes (HOXA10, ESR1, MMP9, and SPP1) in normal endometrial stromal cells <t>(NESCs)</t> and ectopic endometrial stromal <t>cells</t> <t>(EESCs).</t> Gene expression was normalized to GAPDH and presented as fold change relative to NESCs. Data are shown as mean ± SD ( n = 3). ∗∗∗ p < 0.001 versus NESCs.
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Differential expression of key genes in ectopic endometrial cells. qRT‐PCR validation of four key genes (HOXA10, ESR1, MMP9, and SPP1) in normal endometrial stromal cells <t>(NESCs)</t> and ectopic endometrial stromal <t>cells</t> <t>(EESCs).</t> Gene expression was normalized to GAPDH and presented as fold change relative to NESCs. Data are shown as mean ± SD ( n = 3). ∗∗∗ p < 0.001 versus NESCs.
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Differential expression of key genes in ectopic endometrial cells. qRT‐PCR validation of four key genes (HOXA10, ESR1, MMP9, and SPP1) in normal endometrial stromal cells (NESCs) and ectopic endometrial stromal cells (EESCs). Gene expression was normalized to GAPDH and presented as fold change relative to NESCs. Data are shown as mean ± SD ( n = 3). ∗∗∗ p < 0.001 versus NESCs.

Journal: Human Mutation

Article Title: Single‐Cell Transcriptomic Profiling and Machine Learning Integration Unveil Stromal Cell Heterogeneity in Endometriosis

doi: 10.1155/humu/5565366

Figure Lengend Snippet: Differential expression of key genes in ectopic endometrial cells. qRT‐PCR validation of four key genes (HOXA10, ESR1, MMP9, and SPP1) in normal endometrial stromal cells (NESCs) and ectopic endometrial stromal cells (EESCs). Gene expression was normalized to GAPDH and presented as fold change relative to NESCs. Data are shown as mean ± SD ( n = 3). ∗∗∗ p < 0.001 versus NESCs.

Article Snippet: NESCs (ATCC Cat# CRL‐4003, RRID:CVCL_D697) and EESCs (ATCC Cat# CRL‐7566, RRID:CVCL_IW41) were authenticated by short tandem repeat (STR) profiling, showing ≥ 95% match to the reference profile in the ATCC database.

Techniques: Quantitative Proteomics, Quantitative RT-PCR, Biomarker Discovery, Gene Expression

Differential expression of key genes in ectopic endometrial cells. qRT‐PCR validation of four key genes (HOXA10, ESR1, MMP9, and SPP1) in normal endometrial stromal cells (NESCs) and ectopic endometrial stromal cells (EESCs). Gene expression was normalized to GAPDH and presented as fold change relative to NESCs. Data are shown as mean ± SD ( n = 3). ∗∗∗ p < 0.001 versus NESCs.

Journal: Human Mutation

Article Title: Single‐Cell Transcriptomic Profiling and Machine Learning Integration Unveil Stromal Cell Heterogeneity in Endometriosis

doi: 10.1155/humu/5565366

Figure Lengend Snippet: Differential expression of key genes in ectopic endometrial cells. qRT‐PCR validation of four key genes (HOXA10, ESR1, MMP9, and SPP1) in normal endometrial stromal cells (NESCs) and ectopic endometrial stromal cells (EESCs). Gene expression was normalized to GAPDH and presented as fold change relative to NESCs. Data are shown as mean ± SD ( n = 3). ∗∗∗ p < 0.001 versus NESCs.

Article Snippet: NESCs (ATCC Cat# CRL‐4003, RRID:CVCL_D697) and EESCs (ATCC Cat# CRL‐7566, RRID:CVCL_IW41) were authenticated by short tandem repeat (STR) profiling, showing ≥ 95% match to the reference profile in the ATCC database.

Techniques: Quantitative Proteomics, Quantitative RT-PCR, Biomarker Discovery, Gene Expression