mouse kidney stem cell growth medium kit Search Results


96
ATCC madin darby canine kidney 2 cells atcc crl 2936 human
Madin Darby Canine Kidney 2 Cells Atcc Crl 2936 Human, supplied by ATCC, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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New England Biolabs monarch dna gel extraction kit new england biolabs cat
Monarch Dna Gel Extraction Kit New England Biolabs Cat, supplied by New England Biolabs, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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ATCC 293t cells
293t Cells, supplied by ATCC, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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ATCC 202 hek 293t cells atcc cat
202 Hek 293t Cells Atcc Cat, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Vector Laboratories mombasic immunodetection kit
Mombasic Immunodetection Kit, supplied by Vector Laboratories, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Celprogen Inc human renal stem cells
Flow cytometric analysis of cell surface marker expression on mesenchymal <t>stem</t> <t>cells.</t> The values were normalized to the isotype IgG control. Expression of these markers was compared to the levels expressed at week 0 (in the undifferentiated phase before induction of <t>renal-lineage</t> differentiation). For urine-derived stem cells (USCs), 95% or more expressed the mesenchymal stem cell markers CD44 and CD73, whereas <3% expressed the hematopoietic lineage markers CD34 and CD45. Ctrl renal stem cells; ADSC adipose tissue-derived stem cells; AFSC amniotic fluid-derived stem cells; USC urine-derived stem cells
Human Renal Stem Cells, supplied by Celprogen Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/human renal stem cells/product/Celprogen Inc
Average 90 stars, based on 1 article reviews
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ATCC 293t cell line
a Schematic illustration of MetTracer workflow. b Detailed data processing workflow in MetTracer. c Distributions of the 830 labeled metabolites in <t>293T</t> cells in the metabolic network (left panel) and pathways (right panel). Red dots in the left panel represent the labeled metabolites. The circle size in the right panel represents the ratio of the number of labeled metabolites to the number of metabolites in a pathway. d Numbers of labeled metabolites and isotopologues using MetTracer and other indicated software tools. The Venn diagram shows the overlap of the labeled metabolites using MetTracer and other software. e Distribution of relative errors of labeling extent values between MetTracer and manual analysis using Skyline ( n = 830 metabolites). f Relative standard deviation (RSD) distributions of metabolites and isotopologues obtained from MetTracer and other software tools ( n = 6 technical replicates of 293T cell samples). The black dots represent median RSD. g False-positive rates of the labeled metabolites and isotopologues obtained from MetTracer and El-MAVEN. Source data are provided as a Source Data file.
293t Cell Line, supplied by ATCC, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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AcceGen Biotechnology mouse kidney stem cell growth medium kit
a Schematic illustration of MetTracer workflow. b Detailed data processing workflow in MetTracer. c Distributions of the 830 labeled metabolites in <t>293T</t> cells in the metabolic network (left panel) and pathways (right panel). Red dots in the left panel represent the labeled metabolites. The circle size in the right panel represents the ratio of the number of labeled metabolites to the number of metabolites in a pathway. d Numbers of labeled metabolites and isotopologues using MetTracer and other indicated software tools. The Venn diagram shows the overlap of the labeled metabolites using MetTracer and other software. e Distribution of relative errors of labeling extent values between MetTracer and manual analysis using Skyline ( n = 830 metabolites). f Relative standard deviation (RSD) distributions of metabolites and isotopologues obtained from MetTracer and other software tools ( n = 6 technical replicates of 293T cell samples). The black dots represent median RSD. g False-positive rates of the labeled metabolites and isotopologues obtained from MetTracer and El-MAVEN. Source data are provided as a Source Data file.
Mouse Kidney Stem Cell Growth Medium Kit, supplied by AcceGen Biotechnology, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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ATCC cell lines hek 293 atcc crl 1573 vero e6 atcc crl
a Schematic illustration of MetTracer workflow. b Detailed data processing workflow in MetTracer. c Distributions of the 830 labeled metabolites in <t>293T</t> cells in the metabolic network (left panel) and pathways (right panel). Red dots in the left panel represent the labeled metabolites. The circle size in the right panel represents the ratio of the number of labeled metabolites to the number of metabolites in a pathway. d Numbers of labeled metabolites and isotopologues using MetTracer and other indicated software tools. The Venn diagram shows the overlap of the labeled metabolites using MetTracer and other software. e Distribution of relative errors of labeling extent values between MetTracer and manual analysis using Skyline ( n = 830 metabolites). f Relative standard deviation (RSD) distributions of metabolites and isotopologues obtained from MetTracer and other software tools ( n = 6 technical replicates of 293T cell samples). The black dots represent median RSD. g False-positive rates of the labeled metabolites and isotopologues obtained from MetTracer and El-MAVEN. Source data are provided as a Source Data file.
Cell Lines Hek 293 Atcc Crl 1573 Vero E6 Atcc Crl, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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96
New England Biolabs tp2000 bacteria kim
a Schematic illustration of MetTracer workflow. b Detailed data processing workflow in MetTracer. c Distributions of the 830 labeled metabolites in <t>293T</t> cells in the metabolic network (left panel) and pathways (right panel). Red dots in the left panel represent the labeled metabolites. The circle size in the right panel represents the ratio of the number of labeled metabolites to the number of metabolites in a pathway. d Numbers of labeled metabolites and isotopologues using MetTracer and other indicated software tools. The Venn diagram shows the overlap of the labeled metabolites using MetTracer and other software. e Distribution of relative errors of labeling extent values between MetTracer and manual analysis using Skyline ( n = 830 metabolites). f Relative standard deviation (RSD) distributions of metabolites and isotopologues obtained from MetTracer and other software tools ( n = 6 technical replicates of 293T cell samples). The black dots represent median RSD. g False-positive rates of the labeled metabolites and isotopologues obtained from MetTracer and El-MAVEN. Source data are provided as a Source Data file.
Tp2000 Bacteria Kim, supplied by New England Biolabs, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Vector Laboratories 293t cells
a Schematic illustration of MetTracer workflow. b Detailed data processing workflow in MetTracer. c Distributions of the 830 labeled metabolites in <t>293T</t> cells in the metabolic network (left panel) and pathways (right panel). Red dots in the left panel represent the labeled metabolites. The circle size in the right panel represents the ratio of the number of labeled metabolites to the number of metabolites in a pathway. d Numbers of labeled metabolites and isotopologues using MetTracer and other indicated software tools. The Venn diagram shows the overlap of the labeled metabolites using MetTracer and other software. e Distribution of relative errors of labeling extent values between MetTracer and manual analysis using Skyline ( n = 830 metabolites). f Relative standard deviation (RSD) distributions of metabolites and isotopologues obtained from MetTracer and other software tools ( n = 6 technical replicates of 293T cell samples). The black dots represent median RSD. g False-positive rates of the labeled metabolites and isotopologues obtained from MetTracer and El-MAVEN. Source data are provided as a Source Data file.
293t Cells, supplied by Vector Laboratories, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/293t cells/product/Vector Laboratories
Average 99 stars, based on 1 article reviews
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95
ATCC tkpts wt parent atcc crl
a Schematic illustration of MetTracer workflow. b Detailed data processing workflow in MetTracer. c Distributions of the 830 labeled metabolites in <t>293T</t> cells in the metabolic network (left panel) and pathways (right panel). Red dots in the left panel represent the labeled metabolites. The circle size in the right panel represents the ratio of the number of labeled metabolites to the number of metabolites in a pathway. d Numbers of labeled metabolites and isotopologues using MetTracer and other indicated software tools. The Venn diagram shows the overlap of the labeled metabolites using MetTracer and other software. e Distribution of relative errors of labeling extent values between MetTracer and manual analysis using Skyline ( n = 830 metabolites). f Relative standard deviation (RSD) distributions of metabolites and isotopologues obtained from MetTracer and other software tools ( n = 6 technical replicates of 293T cell samples). The black dots represent median RSD. g False-positive rates of the labeled metabolites and isotopologues obtained from MetTracer and El-MAVEN. Source data are provided as a Source Data file.
Tkpts Wt Parent Atcc Crl, supplied by ATCC, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Flow cytometric analysis of cell surface marker expression on mesenchymal stem cells. The values were normalized to the isotype IgG control. Expression of these markers was compared to the levels expressed at week 0 (in the undifferentiated phase before induction of renal-lineage differentiation). For urine-derived stem cells (USCs), 95% or more expressed the mesenchymal stem cell markers CD44 and CD73, whereas <3% expressed the hematopoietic lineage markers CD34 and CD45. Ctrl renal stem cells; ADSC adipose tissue-derived stem cells; AFSC amniotic fluid-derived stem cells; USC urine-derived stem cells

Journal: Tissue Engineering and Regenerative Medicine

Article Title: Potency of Human Urine-Derived Stem Cells for Renal Lineage Differentiation

doi: 10.1007/s13770-017-0081-y

Figure Lengend Snippet: Flow cytometric analysis of cell surface marker expression on mesenchymal stem cells. The values were normalized to the isotype IgG control. Expression of these markers was compared to the levels expressed at week 0 (in the undifferentiated phase before induction of renal-lineage differentiation). For urine-derived stem cells (USCs), 95% or more expressed the mesenchymal stem cell markers CD44 and CD73, whereas <3% expressed the hematopoietic lineage markers CD34 and CD45. Ctrl renal stem cells; ADSC adipose tissue-derived stem cells; AFSC amniotic fluid-derived stem cells; USC urine-derived stem cells

Article Snippet: Human renal stem cells (Cat. no. 36100-27; RSCs; Celprogen, Torrance, CA, USA) were used as an indicator cell line for renal lineage induction and were cultured in human kidney stem cell medium (Cat. no. M36100-27S; Celprogen).

Techniques: Marker, Expressing, Derivative Assay

Characterization of in vitro renal lineage-differentiated cells by morphological, immunocytochemical (ICC), quantitative real-time PCR, and secreted trophic factors analysis for 3 weeks. A Representative images from the morphological analysis. The original cell morphology (spindle-like) of the urine-derived stem cells (USCs) gradually changed to a large, round phenotype with a cobble stone-like appearance and cell aggregation. Representative ICC images using SSEA4, Pax2, Wt1, and Cadherin-6 antibodies. B In USCs, the stem cell marker SSEA4 was strongly expressed in undifferentiated stem cells, and then diminished in the differentiated phase. C Pax2 showed widespread nuclear expression at week 0, and then expression gradually became more localized and increased over time, and it was highly expressed in the cell aggregates at week 3. D Wt1 expression in the cytosol gradually increased over time. E Cadherin-6 was expressed in the cytoplasm of a few cells. The target proteins are shown in red, and the nucleus was stained with 4,6–diamidino-2–phenylindole (DAPI, blue). F Real-time PCR analysis. USCs showed the highest expression of LIM1, CD24, and OCLN. G Secreted trophic factor analysis by ELISA. VEGF and PDGF-bb were more strongly expressed in USCs than in ADSCs and AFSCs. The different letters on top of the bars indicate significant differences at p < 0.05. Ctrl renal stem cells, ADSC adipose tissue-derived stem cells, AFSC amniotic fluid-derived stem cells, USC urine-derived stem cells. (Color figure online)

Journal: Tissue Engineering and Regenerative Medicine

Article Title: Potency of Human Urine-Derived Stem Cells for Renal Lineage Differentiation

doi: 10.1007/s13770-017-0081-y

Figure Lengend Snippet: Characterization of in vitro renal lineage-differentiated cells by morphological, immunocytochemical (ICC), quantitative real-time PCR, and secreted trophic factors analysis for 3 weeks. A Representative images from the morphological analysis. The original cell morphology (spindle-like) of the urine-derived stem cells (USCs) gradually changed to a large, round phenotype with a cobble stone-like appearance and cell aggregation. Representative ICC images using SSEA4, Pax2, Wt1, and Cadherin-6 antibodies. B In USCs, the stem cell marker SSEA4 was strongly expressed in undifferentiated stem cells, and then diminished in the differentiated phase. C Pax2 showed widespread nuclear expression at week 0, and then expression gradually became more localized and increased over time, and it was highly expressed in the cell aggregates at week 3. D Wt1 expression in the cytosol gradually increased over time. E Cadherin-6 was expressed in the cytoplasm of a few cells. The target proteins are shown in red, and the nucleus was stained with 4,6–diamidino-2–phenylindole (DAPI, blue). F Real-time PCR analysis. USCs showed the highest expression of LIM1, CD24, and OCLN. G Secreted trophic factor analysis by ELISA. VEGF and PDGF-bb were more strongly expressed in USCs than in ADSCs and AFSCs. The different letters on top of the bars indicate significant differences at p < 0.05. Ctrl renal stem cells, ADSC adipose tissue-derived stem cells, AFSC amniotic fluid-derived stem cells, USC urine-derived stem cells. (Color figure online)

Article Snippet: Human renal stem cells (Cat. no. 36100-27; RSCs; Celprogen, Torrance, CA, USA) were used as an indicator cell line for renal lineage induction and were cultured in human kidney stem cell medium (Cat. no. M36100-27S; Celprogen).

Techniques: In Vitro, Real-time Polymerase Chain Reaction, Derivative Assay, Marker, Expressing, Staining, Enzyme-linked Immunosorbent Assay

In vivo safety analysis of renal-differentiated cells. Renal lineage-differentiated USCs were implanted into the subcapsule of the kidney. Four weeks later, a histological analysis was performed. No abnormal morphology was observed in the implanted kidneys. Ctrl renal stem cells, ADSC adipose tissue-derived stem cells, AFSC amniotic fluid-derived stem cells, USC urine-derived stem cells

Journal: Tissue Engineering and Regenerative Medicine

Article Title: Potency of Human Urine-Derived Stem Cells for Renal Lineage Differentiation

doi: 10.1007/s13770-017-0081-y

Figure Lengend Snippet: In vivo safety analysis of renal-differentiated cells. Renal lineage-differentiated USCs were implanted into the subcapsule of the kidney. Four weeks later, a histological analysis was performed. No abnormal morphology was observed in the implanted kidneys. Ctrl renal stem cells, ADSC adipose tissue-derived stem cells, AFSC amniotic fluid-derived stem cells, USC urine-derived stem cells

Article Snippet: Human renal stem cells (Cat. no. 36100-27; RSCs; Celprogen, Torrance, CA, USA) were used as an indicator cell line for renal lineage induction and were cultured in human kidney stem cell medium (Cat. no. M36100-27S; Celprogen).

Techniques: In Vivo, Derivative Assay

a Schematic illustration of MetTracer workflow. b Detailed data processing workflow in MetTracer. c Distributions of the 830 labeled metabolites in 293T cells in the metabolic network (left panel) and pathways (right panel). Red dots in the left panel represent the labeled metabolites. The circle size in the right panel represents the ratio of the number of labeled metabolites to the number of metabolites in a pathway. d Numbers of labeled metabolites and isotopologues using MetTracer and other indicated software tools. The Venn diagram shows the overlap of the labeled metabolites using MetTracer and other software. e Distribution of relative errors of labeling extent values between MetTracer and manual analysis using Skyline ( n = 830 metabolites). f Relative standard deviation (RSD) distributions of metabolites and isotopologues obtained from MetTracer and other software tools ( n = 6 technical replicates of 293T cell samples). The black dots represent median RSD. g False-positive rates of the labeled metabolites and isotopologues obtained from MetTracer and El-MAVEN. Source data are provided as a Source Data file.

Journal: Nature Communications

Article Title: Global stable-isotope tracing metabolomics reveals system-wide metabolic alternations in aging Drosophila

doi: 10.1038/s41467-022-31268-6

Figure Lengend Snippet: a Schematic illustration of MetTracer workflow. b Detailed data processing workflow in MetTracer. c Distributions of the 830 labeled metabolites in 293T cells in the metabolic network (left panel) and pathways (right panel). Red dots in the left panel represent the labeled metabolites. The circle size in the right panel represents the ratio of the number of labeled metabolites to the number of metabolites in a pathway. d Numbers of labeled metabolites and isotopologues using MetTracer and other indicated software tools. The Venn diagram shows the overlap of the labeled metabolites using MetTracer and other software. e Distribution of relative errors of labeling extent values between MetTracer and manual analysis using Skyline ( n = 830 metabolites). f Relative standard deviation (RSD) distributions of metabolites and isotopologues obtained from MetTracer and other software tools ( n = 6 technical replicates of 293T cell samples). The black dots represent median RSD. g False-positive rates of the labeled metabolites and isotopologues obtained from MetTracer and El-MAVEN. Source data are provided as a Source Data file.

Article Snippet: The 293T cell line was bought from ATCC with Product No. CRL-2925.

Techniques: Labeling, Software, Targeted Proteomics, Standard Deviation