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rptec tert1  (ATCC)


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    Structured Review

    ATCC rptec tert1
    MUC3A is aberrantly upregulated in ccRCC and associated with poor prognosis. (A) Pan-cancer analysis of MUC3A expression across multiple tumor types based on TCGA data, generated using the GEPIA2 platform. Gene expression values are presented as log2(TPM + 1). (B) Differential expression of MUC3A in tumor and normal samples from the TCGA-KIRC cohort (523 tumor samples vs. 72 normal samples). *P<0.05. (C) Western blotting of MUC3A protein expression in HK-2 <t>and</t> <t>RPTEC/TERT1</t> non-malignant renal epithelial cell lines and ccRCC cell lines (CAKI-1, OSRC-2, 786-O and ACHN). GAPDH was used as a loading control. (D) Western blotting of MUC3A knockdown efficiency in 786-O and OSRC-2 cells following transient transfection with three independent siRNAs targeting MUC3A. si-2 was selected for subsequent functional experiments due to its superior knockdown efficiency. (E) Kaplan-Meier OS analysis of ccRCC patients stratified into high- and low-MUC3A expression groups using the GEPIA2 platform. (F) Kaplan-Meier DFS analysis of ccRCC patients based on MUC3A expression levels. Data are derived from TCGA unless otherwise indicated. MUC3A, mucin 3A; ccRCC, clear cell renal cell carcinoma; TCGA, The Cancer Genome Atlas; KIRC, kidney renal clear cell carcinoma; GEPIA2, Gene Expression Profiling Interactive Analysis 2; TPM, transcripts per million; KIRC, kidney renal clear cell carcinoma; OS, overall survival; DFS, disease-free survival; siRNA, small interfering RNA; si-MUC3A, MUC3A-targeting siRNA; si-Ctrl, non-targeting control siRNA; GAPDH, glyceraldehyde-3-phosphate dehydrogenase; si-1/si-2/si-3, three independent siRNAs targeting MUC3A.
    Rptec Tert1, supplied by ATCC, used in various techniques. Bioz Stars score: 95/100, based on 184 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/crl+4031/pmc13107098-28-42-46?v=ATCC
    Average 95 stars, based on 184 article reviews
    rptec tert1 - by Bioz Stars, 2026-07
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    1) Product Images from "Mechanistic study of MUC3A in promoting progression of clear cell renal cell carcinoma via the JAK-STAT pathway"

    Article Title: Mechanistic study of MUC3A in promoting progression of clear cell renal cell carcinoma via the JAK-STAT pathway

    Journal: Oncology Reports

    doi: 10.3892/or.2026.9119

    MUC3A is aberrantly upregulated in ccRCC and associated with poor prognosis. (A) Pan-cancer analysis of MUC3A expression across multiple tumor types based on TCGA data, generated using the GEPIA2 platform. Gene expression values are presented as log2(TPM + 1). (B) Differential expression of MUC3A in tumor and normal samples from the TCGA-KIRC cohort (523 tumor samples vs. 72 normal samples). *P<0.05. (C) Western blotting of MUC3A protein expression in HK-2 and RPTEC/TERT1 non-malignant renal epithelial cell lines and ccRCC cell lines (CAKI-1, OSRC-2, 786-O and ACHN). GAPDH was used as a loading control. (D) Western blotting of MUC3A knockdown efficiency in 786-O and OSRC-2 cells following transient transfection with three independent siRNAs targeting MUC3A. si-2 was selected for subsequent functional experiments due to its superior knockdown efficiency. (E) Kaplan-Meier OS analysis of ccRCC patients stratified into high- and low-MUC3A expression groups using the GEPIA2 platform. (F) Kaplan-Meier DFS analysis of ccRCC patients based on MUC3A expression levels. Data are derived from TCGA unless otherwise indicated. MUC3A, mucin 3A; ccRCC, clear cell renal cell carcinoma; TCGA, The Cancer Genome Atlas; KIRC, kidney renal clear cell carcinoma; GEPIA2, Gene Expression Profiling Interactive Analysis 2; TPM, transcripts per million; KIRC, kidney renal clear cell carcinoma; OS, overall survival; DFS, disease-free survival; siRNA, small interfering RNA; si-MUC3A, MUC3A-targeting siRNA; si-Ctrl, non-targeting control siRNA; GAPDH, glyceraldehyde-3-phosphate dehydrogenase; si-1/si-2/si-3, three independent siRNAs targeting MUC3A.
    Figure Legend Snippet: MUC3A is aberrantly upregulated in ccRCC and associated with poor prognosis. (A) Pan-cancer analysis of MUC3A expression across multiple tumor types based on TCGA data, generated using the GEPIA2 platform. Gene expression values are presented as log2(TPM + 1). (B) Differential expression of MUC3A in tumor and normal samples from the TCGA-KIRC cohort (523 tumor samples vs. 72 normal samples). *P<0.05. (C) Western blotting of MUC3A protein expression in HK-2 and RPTEC/TERT1 non-malignant renal epithelial cell lines and ccRCC cell lines (CAKI-1, OSRC-2, 786-O and ACHN). GAPDH was used as a loading control. (D) Western blotting of MUC3A knockdown efficiency in 786-O and OSRC-2 cells following transient transfection with three independent siRNAs targeting MUC3A. si-2 was selected for subsequent functional experiments due to its superior knockdown efficiency. (E) Kaplan-Meier OS analysis of ccRCC patients stratified into high- and low-MUC3A expression groups using the GEPIA2 platform. (F) Kaplan-Meier DFS analysis of ccRCC patients based on MUC3A expression levels. Data are derived from TCGA unless otherwise indicated. MUC3A, mucin 3A; ccRCC, clear cell renal cell carcinoma; TCGA, The Cancer Genome Atlas; KIRC, kidney renal clear cell carcinoma; GEPIA2, Gene Expression Profiling Interactive Analysis 2; TPM, transcripts per million; KIRC, kidney renal clear cell carcinoma; OS, overall survival; DFS, disease-free survival; siRNA, small interfering RNA; si-MUC3A, MUC3A-targeting siRNA; si-Ctrl, non-targeting control siRNA; GAPDH, glyceraldehyde-3-phosphate dehydrogenase; si-1/si-2/si-3, three independent siRNAs targeting MUC3A.

    Techniques Used: Expressing, Generated, Gene Expression, Quantitative Proteomics, Western Blot, Control, Knockdown, Transfection, Functional Assay, Derivative Assay, Small Interfering RNA



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    ATCC rptec tert1
    MUC3A is aberrantly upregulated in ccRCC and associated with poor prognosis. (A) Pan-cancer analysis of MUC3A expression across multiple tumor types based on TCGA data, generated using the GEPIA2 platform. Gene expression values are presented as log2(TPM + 1). (B) Differential expression of MUC3A in tumor and normal samples from the TCGA-KIRC cohort (523 tumor samples vs. 72 normal samples). *P<0.05. (C) Western blotting of MUC3A protein expression in HK-2 <t>and</t> <t>RPTEC/TERT1</t> non-malignant renal epithelial cell lines and ccRCC cell lines (CAKI-1, OSRC-2, 786-O and ACHN). GAPDH was used as a loading control. (D) Western blotting of MUC3A knockdown efficiency in 786-O and OSRC-2 cells following transient transfection with three independent siRNAs targeting MUC3A. si-2 was selected for subsequent functional experiments due to its superior knockdown efficiency. (E) Kaplan-Meier OS analysis of ccRCC patients stratified into high- and low-MUC3A expression groups using the GEPIA2 platform. (F) Kaplan-Meier DFS analysis of ccRCC patients based on MUC3A expression levels. Data are derived from TCGA unless otherwise indicated. MUC3A, mucin 3A; ccRCC, clear cell renal cell carcinoma; TCGA, The Cancer Genome Atlas; KIRC, kidney renal clear cell carcinoma; GEPIA2, Gene Expression Profiling Interactive Analysis 2; TPM, transcripts per million; KIRC, kidney renal clear cell carcinoma; OS, overall survival; DFS, disease-free survival; siRNA, small interfering RNA; si-MUC3A, MUC3A-targeting siRNA; si-Ctrl, non-targeting control siRNA; GAPDH, glyceraldehyde-3-phosphate dehydrogenase; si-1/si-2/si-3, three independent siRNAs targeting MUC3A.
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    The effects of NTN1 on the apoptosis, inflammatory levels and ROS generation in LPS-treated HK-2 cells (A–B) after the transfection of NTN1 overexpression plasmid or si-NTN1, the expression of NTN1 in the blank, OE-NC, OE-NTN1, si-NC, and si-NTN1 groups was determined by qRT-PCR. GAPDH served as the internal control. (C–D) the apoptosis rate of HK-2 cells <t>or</t> <t>RPTEC/TERT1</t> in the OE-NC, OE-NTN1, si-NC, and si-NTN1 groups was assessed by flow cytometry. (E–G) the levels of TNF-α, IL-6 and IL-1β in the OE-NC, OE-NTN1, si-NC, and si-NTN1 groups were determined by ELISA. (H) The level of ROS generation in each group was detected by DCFH-DA reagent. The data are presented as the mean±standard deviation of three independent experiments; *** p<0.001 vs. OE-NC; ### p<0.001 vs. si-NC. Abbreviation: NTN1, netrin 1; ROS, reactive oxygen species; LPS, lipopolysaccharides; OE-NTN1, NTN1 overexpression; si-NTN1, silenced NTN1; NC, negative control; qRT-PCR, quantitative real-time PCR; GAPDH, glyceraldehyde-3-phosphate dehydrogenase; TNF-α, tumor necrosis factor-α; IL-6, interleukin-6; ELISA, enzyme-linked immunosorbent assay; DCFH-DA, 2,7-Dichlorodi-hydrofluorescein diacetate.
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    The effects of NTN1 on the apoptosis, inflammatory levels and ROS generation in LPS-treated HK-2 cells (A–B) after the transfection of NTN1 overexpression plasmid or si-NTN1, the expression of NTN1 in the blank, OE-NC, OE-NTN1, si-NC, and si-NTN1 groups was determined by qRT-PCR. GAPDH served as the internal control. (C–D) the apoptosis rate of HK-2 cells <t>or</t> <t>RPTEC/TERT1</t> in the OE-NC, OE-NTN1, si-NC, and si-NTN1 groups was assessed by flow cytometry. (E–G) the levels of TNF-α, IL-6 and IL-1β in the OE-NC, OE-NTN1, si-NC, and si-NTN1 groups were determined by ELISA. (H) The level of ROS generation in each group was detected by DCFH-DA reagent. The data are presented as the mean±standard deviation of three independent experiments; *** p<0.001 vs. OE-NC; ### p<0.001 vs. si-NC. Abbreviation: NTN1, netrin 1; ROS, reactive oxygen species; LPS, lipopolysaccharides; OE-NTN1, NTN1 overexpression; si-NTN1, silenced NTN1; NC, negative control; qRT-PCR, quantitative real-time PCR; GAPDH, glyceraldehyde-3-phosphate dehydrogenase; TNF-α, tumor necrosis factor-α; IL-6, interleukin-6; ELISA, enzyme-linked immunosorbent assay; DCFH-DA, 2,7-Dichlorodi-hydrofluorescein diacetate.
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    MUC3A is aberrantly upregulated in ccRCC and associated with poor prognosis. (A) Pan-cancer analysis of MUC3A expression across multiple tumor types based on TCGA data, generated using the GEPIA2 platform. Gene expression values are presented as log2(TPM + 1). (B) Differential expression of MUC3A in tumor and normal samples from the TCGA-KIRC cohort (523 tumor samples vs. 72 normal samples). *P<0.05. (C) Western blotting of MUC3A protein expression in HK-2 and RPTEC/TERT1 non-malignant renal epithelial cell lines and ccRCC cell lines (CAKI-1, OSRC-2, 786-O and ACHN). GAPDH was used as a loading control. (D) Western blotting of MUC3A knockdown efficiency in 786-O and OSRC-2 cells following transient transfection with three independent siRNAs targeting MUC3A. si-2 was selected for subsequent functional experiments due to its superior knockdown efficiency. (E) Kaplan-Meier OS analysis of ccRCC patients stratified into high- and low-MUC3A expression groups using the GEPIA2 platform. (F) Kaplan-Meier DFS analysis of ccRCC patients based on MUC3A expression levels. Data are derived from TCGA unless otherwise indicated. MUC3A, mucin 3A; ccRCC, clear cell renal cell carcinoma; TCGA, The Cancer Genome Atlas; KIRC, kidney renal clear cell carcinoma; GEPIA2, Gene Expression Profiling Interactive Analysis 2; TPM, transcripts per million; KIRC, kidney renal clear cell carcinoma; OS, overall survival; DFS, disease-free survival; siRNA, small interfering RNA; si-MUC3A, MUC3A-targeting siRNA; si-Ctrl, non-targeting control siRNA; GAPDH, glyceraldehyde-3-phosphate dehydrogenase; si-1/si-2/si-3, three independent siRNAs targeting MUC3A.

    Journal: Oncology Reports

    Article Title: Mechanistic study of MUC3A in promoting progression of clear cell renal cell carcinoma via the JAK-STAT pathway

    doi: 10.3892/or.2026.9119

    Figure Lengend Snippet: MUC3A is aberrantly upregulated in ccRCC and associated with poor prognosis. (A) Pan-cancer analysis of MUC3A expression across multiple tumor types based on TCGA data, generated using the GEPIA2 platform. Gene expression values are presented as log2(TPM + 1). (B) Differential expression of MUC3A in tumor and normal samples from the TCGA-KIRC cohort (523 tumor samples vs. 72 normal samples). *P<0.05. (C) Western blotting of MUC3A protein expression in HK-2 and RPTEC/TERT1 non-malignant renal epithelial cell lines and ccRCC cell lines (CAKI-1, OSRC-2, 786-O and ACHN). GAPDH was used as a loading control. (D) Western blotting of MUC3A knockdown efficiency in 786-O and OSRC-2 cells following transient transfection with three independent siRNAs targeting MUC3A. si-2 was selected for subsequent functional experiments due to its superior knockdown efficiency. (E) Kaplan-Meier OS analysis of ccRCC patients stratified into high- and low-MUC3A expression groups using the GEPIA2 platform. (F) Kaplan-Meier DFS analysis of ccRCC patients based on MUC3A expression levels. Data are derived from TCGA unless otherwise indicated. MUC3A, mucin 3A; ccRCC, clear cell renal cell carcinoma; TCGA, The Cancer Genome Atlas; KIRC, kidney renal clear cell carcinoma; GEPIA2, Gene Expression Profiling Interactive Analysis 2; TPM, transcripts per million; KIRC, kidney renal clear cell carcinoma; OS, overall survival; DFS, disease-free survival; siRNA, small interfering RNA; si-MUC3A, MUC3A-targeting siRNA; si-Ctrl, non-targeting control siRNA; GAPDH, glyceraldehyde-3-phosphate dehydrogenase; si-1/si-2/si-3, three independent siRNAs targeting MUC3A.

    Article Snippet: Human ccRCC cell lines 786-O (cat. no. CL-0010), OSRC-2 (cat. no. CL-0177), Caki-1 (cat. no. CL-0052) and ACHN (cat. no. CL-0021), as well as non-malignant renal epithelial cells HK-2 (cat. no. CL-0109; all from Procell Life Science & Technology Co., Ltd.) and RPTEC/TERT1 (cat. no. CRL-4031; American Type Culture Collection), were used in the present study.

    Techniques: Expressing, Generated, Gene Expression, Quantitative Proteomics, Western Blot, Control, Knockdown, Transfection, Functional Assay, Derivative Assay, Small Interfering RNA

    The effects of NTN1 on the apoptosis, inflammatory levels and ROS generation in LPS-treated HK-2 cells (A–B) after the transfection of NTN1 overexpression plasmid or si-NTN1, the expression of NTN1 in the blank, OE-NC, OE-NTN1, si-NC, and si-NTN1 groups was determined by qRT-PCR. GAPDH served as the internal control. (C–D) the apoptosis rate of HK-2 cells or RPTEC/TERT1 in the OE-NC, OE-NTN1, si-NC, and si-NTN1 groups was assessed by flow cytometry. (E–G) the levels of TNF-α, IL-6 and IL-1β in the OE-NC, OE-NTN1, si-NC, and si-NTN1 groups were determined by ELISA. (H) The level of ROS generation in each group was detected by DCFH-DA reagent. The data are presented as the mean±standard deviation of three independent experiments; *** p<0.001 vs. OE-NC; ### p<0.001 vs. si-NC. Abbreviation: NTN1, netrin 1; ROS, reactive oxygen species; LPS, lipopolysaccharides; OE-NTN1, NTN1 overexpression; si-NTN1, silenced NTN1; NC, negative control; qRT-PCR, quantitative real-time PCR; GAPDH, glyceraldehyde-3-phosphate dehydrogenase; TNF-α, tumor necrosis factor-α; IL-6, interleukin-6; ELISA, enzyme-linked immunosorbent assay; DCFH-DA, 2,7-Dichlorodi-hydrofluorescein diacetate.

    Journal: Open Medicine

    Article Title: NTN1 regulates autophagy through the MAP1B/DAPK1 axis to ameliorate acute kidney injury in vitro

    doi: 10.1515/med-2025-1374

    Figure Lengend Snippet: The effects of NTN1 on the apoptosis, inflammatory levels and ROS generation in LPS-treated HK-2 cells (A–B) after the transfection of NTN1 overexpression plasmid or si-NTN1, the expression of NTN1 in the blank, OE-NC, OE-NTN1, si-NC, and si-NTN1 groups was determined by qRT-PCR. GAPDH served as the internal control. (C–D) the apoptosis rate of HK-2 cells or RPTEC/TERT1 in the OE-NC, OE-NTN1, si-NC, and si-NTN1 groups was assessed by flow cytometry. (E–G) the levels of TNF-α, IL-6 and IL-1β in the OE-NC, OE-NTN1, si-NC, and si-NTN1 groups were determined by ELISA. (H) The level of ROS generation in each group was detected by DCFH-DA reagent. The data are presented as the mean±standard deviation of three independent experiments; *** p<0.001 vs. OE-NC; ### p<0.001 vs. si-NC. Abbreviation: NTN1, netrin 1; ROS, reactive oxygen species; LPS, lipopolysaccharides; OE-NTN1, NTN1 overexpression; si-NTN1, silenced NTN1; NC, negative control; qRT-PCR, quantitative real-time PCR; GAPDH, glyceraldehyde-3-phosphate dehydrogenase; TNF-α, tumor necrosis factor-α; IL-6, interleukin-6; ELISA, enzyme-linked immunosorbent assay; DCFH-DA, 2,7-Dichlorodi-hydrofluorescein diacetate.

    Article Snippet: Renal tubular epithelial cell line HK-2 (AW-CELLS-H0142, Anweisci, China), and RPTEC/TERT1 cells (CRL-4031, ATCC, Virginia, MA, USA) were placed in Minimum Essential Medium (MEM, BC-M-019, Sbjbio, China) enriched with 10 % fetal bovine serum (FBS, FCS500, ExCell, China) at 37 °C with 5 % CO 2 .

    Techniques: Transfection, Over Expression, Plasmid Preparation, Expressing, Quantitative RT-PCR, Control, Flow Cytometry, Enzyme-linked Immunosorbent Assay, Standard Deviation, Negative Control, Real-time Polymerase Chain Reaction