dntps Promega Search Results


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  • 99
    Thermo Fisher dntp mixture
    Dntp Mixture, supplied by Thermo Fisher, used in various techniques. Bioz Stars score: 99/100, based on 1813 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/dntp mixture/product/Thermo Fisher
    Average 99 stars, based on 1813 article reviews
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    dntp mixture - by Bioz Stars, 2020-01
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    96
    New England Biolabs dntps
    Dntps, supplied by New England Biolabs, used in various techniques. Bioz Stars score: 96/100, based on 6669 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/dntps/product/New England Biolabs
    Average 96 stars, based on 6669 article reviews
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    dntps - by Bioz Stars, 2020-01
    96/100 stars
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    76
    Promega dntp s 100mm promega
    Dntp S 100mm Promega, supplied by Promega, used in various techniques. Bioz Stars score: 76/100, based on 12 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/dntp s 100mm promega/product/Promega
    Average 76 stars, based on 12 article reviews
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    dntp s 100mm promega - by Bioz Stars, 2020-01
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    77
    Promega dntps promega see
    Single-cell transcriptome analysis uncovers distinct proliferative populations within the murine heart. ( A ) Experimental timeline for tissue collection of hearts from wild-type and Mki67 RFP mice, either neonatal or adults, 14 d after sham, ischemia/reperfusion (I/R), or MI surgery ( n = 2–4 mice per condition). ( B ) Schematic representation of <t>SORT-seq</t> workflow. Hearts were isolated (1) and digested into single-cell suspension (2), and Ki67-RFP + and Ki67-RFP − cells were sorted into 384-well plates containing primers, <t>dNTPs,</t> and spike-ins (3). Retrotranscription mix was distributed using Nanodrop II, and material was pooled and amplified (4) before pair-end sequencing (5). Cells were clustered using RaceID2 (6). ( C ) Clustering of cardiac cells and cell-to-cell distances visualized by t -distributed stochastic neighbor-embedding ( t -SNE) map, highlighting identified major cardiac cell types. ( D ) Numbers of cells assigned to each cardiac cell lineage. ( E ) t -SNE map highlighting identified cell types based on previously described cellular markers (logarithmic scale of transcript expression). Markers expression is shown in Lower panel by immunofluorescent staining. (Scale bars: 50 μm.) ( F ) t -SNE map displaying cell cycle stage of each cell [S (red), G 2 /M (green), G 0 /G 1 (blue)] assigned by the cyclone algorithm. ( G ) t -SNE map showing the Ki67-RFP status from the flow cytometry data; Ki67-RFP + (red), Ki67-RFP − (black), or Mki67 wt/wt cells without TagRFP construct (gray) and radar plot showing Ki67-RFP + cells enriched for the cycling G 2 /M stage according to the cyclone algorithm. Asterisks indicate significance (χ 2 test: *** P
    Dntps Promega See, supplied by Promega, used in various techniques. Bioz Stars score: 77/100, based on 2137 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Average 77 stars, based on 2137 article reviews
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    dntps promega see - by Bioz Stars, 2020-01
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    77
    Promega promega dntp mix
    Single-cell transcriptome analysis uncovers distinct proliferative populations within the murine heart. ( A ) Experimental timeline for tissue collection of hearts from wild-type and Mki67 RFP mice, either neonatal or adults, 14 d after sham, ischemia/reperfusion (I/R), or MI surgery ( n = 2–4 mice per condition). ( B ) Schematic representation of <t>SORT-seq</t> workflow. Hearts were isolated (1) and digested into single-cell suspension (2), and Ki67-RFP + and Ki67-RFP − cells were sorted into 384-well plates containing primers, <t>dNTPs,</t> and spike-ins (3). Retrotranscription mix was distributed using Nanodrop II, and material was pooled and amplified (4) before pair-end sequencing (5). Cells were clustered using RaceID2 (6). ( C ) Clustering of cardiac cells and cell-to-cell distances visualized by t -distributed stochastic neighbor-embedding ( t -SNE) map, highlighting identified major cardiac cell types. ( D ) Numbers of cells assigned to each cardiac cell lineage. ( E ) t -SNE map highlighting identified cell types based on previously described cellular markers (logarithmic scale of transcript expression). Markers expression is shown in Lower panel by immunofluorescent staining. (Scale bars: 50 μm.) ( F ) t -SNE map displaying cell cycle stage of each cell [S (red), G 2 /M (green), G 0 /G 1 (blue)] assigned by the cyclone algorithm. ( G ) t -SNE map showing the Ki67-RFP status from the flow cytometry data; Ki67-RFP + (red), Ki67-RFP − (black), or Mki67 wt/wt cells without TagRFP construct (gray) and radar plot showing Ki67-RFP + cells enriched for the cycling G 2 /M stage according to the cyclone algorithm. Asterisks indicate significance (χ 2 test: *** P
    Promega Dntp Mix, supplied by Promega, used in various techniques. Bioz Stars score: 77/100, based on 3 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Average 77 stars, based on 3 article reviews
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    promega dntp mix - by Bioz Stars, 2020-01
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    97
    Promega dntp
    Single-cell transcriptome analysis uncovers distinct proliferative populations within the murine heart. ( A ) Experimental timeline for tissue collection of hearts from wild-type and Mki67 RFP mice, either neonatal or adults, 14 d after sham, ischemia/reperfusion (I/R), or MI surgery ( n = 2–4 mice per condition). ( B ) Schematic representation of <t>SORT-seq</t> workflow. Hearts were isolated (1) and digested into single-cell suspension (2), and Ki67-RFP + and Ki67-RFP − cells were sorted into 384-well plates containing primers, <t>dNTPs,</t> and spike-ins (3). Retrotranscription mix was distributed using Nanodrop II, and material was pooled and amplified (4) before pair-end sequencing (5). Cells were clustered using RaceID2 (6). ( C ) Clustering of cardiac cells and cell-to-cell distances visualized by t -distributed stochastic neighbor-embedding ( t -SNE) map, highlighting identified major cardiac cell types. ( D ) Numbers of cells assigned to each cardiac cell lineage. ( E ) t -SNE map highlighting identified cell types based on previously described cellular markers (logarithmic scale of transcript expression). Markers expression is shown in Lower panel by immunofluorescent staining. (Scale bars: 50 μm.) ( F ) t -SNE map displaying cell cycle stage of each cell [S (red), G 2 /M (green), G 0 /G 1 (blue)] assigned by the cyclone algorithm. ( G ) t -SNE map showing the Ki67-RFP status from the flow cytometry data; Ki67-RFP + (red), Ki67-RFP − (black), or Mki67 wt/wt cells without TagRFP construct (gray) and radar plot showing Ki67-RFP + cells enriched for the cycling G 2 /M stage according to the cyclone algorithm. Asterisks indicate significance (χ 2 test: *** P
    Dntp, supplied by Promega, used in various techniques. Bioz Stars score: 97/100, based on 11037 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/dntp/product/Promega
    Average 97 stars, based on 11037 article reviews
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    dntp - by Bioz Stars, 2020-01
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    96
    Meridian Life Science dntp
    Single-cell transcriptome analysis uncovers distinct proliferative populations within the murine heart. ( A ) Experimental timeline for tissue collection of hearts from wild-type and Mki67 RFP mice, either neonatal or adults, 14 d after sham, ischemia/reperfusion (I/R), or MI surgery ( n = 2–4 mice per condition). ( B ) Schematic representation of <t>SORT-seq</t> workflow. Hearts were isolated (1) and digested into single-cell suspension (2), and Ki67-RFP + and Ki67-RFP − cells were sorted into 384-well plates containing primers, <t>dNTPs,</t> and spike-ins (3). Retrotranscription mix was distributed using Nanodrop II, and material was pooled and amplified (4) before pair-end sequencing (5). Cells were clustered using RaceID2 (6). ( C ) Clustering of cardiac cells and cell-to-cell distances visualized by t -distributed stochastic neighbor-embedding ( t -SNE) map, highlighting identified major cardiac cell types. ( D ) Numbers of cells assigned to each cardiac cell lineage. ( E ) t -SNE map highlighting identified cell types based on previously described cellular markers (logarithmic scale of transcript expression). Markers expression is shown in Lower panel by immunofluorescent staining. (Scale bars: 50 μm.) ( F ) t -SNE map displaying cell cycle stage of each cell [S (red), G 2 /M (green), G 0 /G 1 (blue)] assigned by the cyclone algorithm. ( G ) t -SNE map showing the Ki67-RFP status from the flow cytometry data; Ki67-RFP + (red), Ki67-RFP − (black), or Mki67 wt/wt cells without TagRFP construct (gray) and radar plot showing Ki67-RFP + cells enriched for the cycling G 2 /M stage according to the cyclone algorithm. Asterisks indicate significance (χ 2 test: *** P
    Dntp, supplied by Meridian Life Science, used in various techniques. Bioz Stars score: 96/100, based on 1980 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/dntp/product/Meridian Life Science
    Average 96 stars, based on 1980 article reviews
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    dntp - by Bioz Stars, 2020-01
    96/100 stars
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    78
    Promega mmol dntp
    Single-cell transcriptome analysis uncovers distinct proliferative populations within the murine heart. ( A ) Experimental timeline for tissue collection of hearts from wild-type and Mki67 RFP mice, either neonatal or adults, 14 d after sham, ischemia/reperfusion (I/R), or MI surgery ( n = 2–4 mice per condition). ( B ) Schematic representation of <t>SORT-seq</t> workflow. Hearts were isolated (1) and digested into single-cell suspension (2), and Ki67-RFP + and Ki67-RFP − cells were sorted into 384-well plates containing primers, <t>dNTPs,</t> and spike-ins (3). Retrotranscription mix was distributed using Nanodrop II, and material was pooled and amplified (4) before pair-end sequencing (5). Cells were clustered using RaceID2 (6). ( C ) Clustering of cardiac cells and cell-to-cell distances visualized by t -distributed stochastic neighbor-embedding ( t -SNE) map, highlighting identified major cardiac cell types. ( D ) Numbers of cells assigned to each cardiac cell lineage. ( E ) t -SNE map highlighting identified cell types based on previously described cellular markers (logarithmic scale of transcript expression). Markers expression is shown in Lower panel by immunofluorescent staining. (Scale bars: 50 μm.) ( F ) t -SNE map displaying cell cycle stage of each cell [S (red), G 2 /M (green), G 0 /G 1 (blue)] assigned by the cyclone algorithm. ( G ) t -SNE map showing the Ki67-RFP status from the flow cytometry data; Ki67-RFP + (red), Ki67-RFP − (black), or Mki67 wt/wt cells without TagRFP construct (gray) and radar plot showing Ki67-RFP + cells enriched for the cycling G 2 /M stage according to the cyclone algorithm. Asterisks indicate significance (χ 2 test: *** P
    Mmol Dntp, supplied by Promega, used in various techniques. Bioz Stars score: 78/100, based on 4 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    mmol dntp - by Bioz Stars, 2020-01
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    75
    TriLink mutagenic dntps
    Single-cell transcriptome analysis uncovers distinct proliferative populations within the murine heart. ( A ) Experimental timeline for tissue collection of hearts from wild-type and Mki67 RFP mice, either neonatal or adults, 14 d after sham, ischemia/reperfusion (I/R), or MI surgery ( n = 2–4 mice per condition). ( B ) Schematic representation of <t>SORT-seq</t> workflow. Hearts were isolated (1) and digested into single-cell suspension (2), and Ki67-RFP + and Ki67-RFP − cells were sorted into 384-well plates containing primers, <t>dNTPs,</t> and spike-ins (3). Retrotranscription mix was distributed using Nanodrop II, and material was pooled and amplified (4) before pair-end sequencing (5). Cells were clustered using RaceID2 (6). ( C ) Clustering of cardiac cells and cell-to-cell distances visualized by t -distributed stochastic neighbor-embedding ( t -SNE) map, highlighting identified major cardiac cell types. ( D ) Numbers of cells assigned to each cardiac cell lineage. ( E ) t -SNE map highlighting identified cell types based on previously described cellular markers (logarithmic scale of transcript expression). Markers expression is shown in Lower panel by immunofluorescent staining. (Scale bars: 50 μm.) ( F ) t -SNE map displaying cell cycle stage of each cell [S (red), G 2 /M (green), G 0 /G 1 (blue)] assigned by the cyclone algorithm. ( G ) t -SNE map showing the Ki67-RFP status from the flow cytometry data; Ki67-RFP + (red), Ki67-RFP − (black), or Mki67 wt/wt cells without TagRFP construct (gray) and radar plot showing Ki67-RFP + cells enriched for the cycling G 2 /M stage according to the cyclone algorithm. Asterisks indicate significance (χ 2 test: *** P
    Mutagenic Dntps, supplied by TriLink, used in various techniques. Bioz Stars score: 75/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    mutagenic dntps - by Bioz Stars, 2020-01
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    80
    Promega dntp dutp
    Single-cell transcriptome analysis uncovers distinct proliferative populations within the murine heart. ( A ) Experimental timeline for tissue collection of hearts from wild-type and Mki67 RFP mice, either neonatal or adults, 14 d after sham, ischemia/reperfusion (I/R), or MI surgery ( n = 2–4 mice per condition). ( B ) Schematic representation of <t>SORT-seq</t> workflow. Hearts were isolated (1) and digested into single-cell suspension (2), and Ki67-RFP + and Ki67-RFP − cells were sorted into 384-well plates containing primers, <t>dNTPs,</t> and spike-ins (3). Retrotranscription mix was distributed using Nanodrop II, and material was pooled and amplified (4) before pair-end sequencing (5). Cells were clustered using RaceID2 (6). ( C ) Clustering of cardiac cells and cell-to-cell distances visualized by t -distributed stochastic neighbor-embedding ( t -SNE) map, highlighting identified major cardiac cell types. ( D ) Numbers of cells assigned to each cardiac cell lineage. ( E ) t -SNE map highlighting identified cell types based on previously described cellular markers (logarithmic scale of transcript expression). Markers expression is shown in Lower panel by immunofluorescent staining. (Scale bars: 50 μm.) ( F ) t -SNE map displaying cell cycle stage of each cell [S (red), G 2 /M (green), G 0 /G 1 (blue)] assigned by the cyclone algorithm. ( G ) t -SNE map showing the Ki67-RFP status from the flow cytometry data; Ki67-RFP + (red), Ki67-RFP − (black), or Mki67 wt/wt cells without TagRFP construct (gray) and radar plot showing Ki67-RFP + cells enriched for the cycling G 2 /M stage according to the cyclone algorithm. Asterisks indicate significance (χ 2 test: *** P
    Dntp Dutp, supplied by Promega, used in various techniques. Bioz Stars score: 80/100, based on 10 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    dntp dutp - by Bioz Stars, 2020-01
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    80
    Promega natural dntp
    Single-cell transcriptome analysis uncovers distinct proliferative populations within the murine heart. ( A ) Experimental timeline for tissue collection of hearts from wild-type and Mki67 RFP mice, either neonatal or adults, 14 d after sham, ischemia/reperfusion (I/R), or MI surgery ( n = 2–4 mice per condition). ( B ) Schematic representation of <t>SORT-seq</t> workflow. Hearts were isolated (1) and digested into single-cell suspension (2), and Ki67-RFP + and Ki67-RFP − cells were sorted into 384-well plates containing primers, <t>dNTPs,</t> and spike-ins (3). Retrotranscription mix was distributed using Nanodrop II, and material was pooled and amplified (4) before pair-end sequencing (5). Cells were clustered using RaceID2 (6). ( C ) Clustering of cardiac cells and cell-to-cell distances visualized by t -distributed stochastic neighbor-embedding ( t -SNE) map, highlighting identified major cardiac cell types. ( D ) Numbers of cells assigned to each cardiac cell lineage. ( E ) t -SNE map highlighting identified cell types based on previously described cellular markers (logarithmic scale of transcript expression). Markers expression is shown in Lower panel by immunofluorescent staining. (Scale bars: 50 μm.) ( F ) t -SNE map displaying cell cycle stage of each cell [S (red), G 2 /M (green), G 0 /G 1 (blue)] assigned by the cyclone algorithm. ( G ) t -SNE map showing the Ki67-RFP status from the flow cytometry data; Ki67-RFP + (red), Ki67-RFP − (black), or Mki67 wt/wt cells without TagRFP construct (gray) and radar plot showing Ki67-RFP + cells enriched for the cycling G 2 /M stage according to the cyclone algorithm. Asterisks indicate significance (χ 2 test: *** P
    Natural Dntp, supplied by Promega, used in various techniques. Bioz Stars score: 80/100, based on 3 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Average 80 stars, based on 3 article reviews
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    natural dntp - by Bioz Stars, 2020-01
    80/100 stars
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    79
    Promega cold dntps
    Single-cell transcriptome analysis uncovers distinct proliferative populations within the murine heart. ( A ) Experimental timeline for tissue collection of hearts from wild-type and Mki67 RFP mice, either neonatal or adults, 14 d after sham, ischemia/reperfusion (I/R), or MI surgery ( n = 2–4 mice per condition). ( B ) Schematic representation of <t>SORT-seq</t> workflow. Hearts were isolated (1) and digested into single-cell suspension (2), and Ki67-RFP + and Ki67-RFP − cells were sorted into 384-well plates containing primers, <t>dNTPs,</t> and spike-ins (3). Retrotranscription mix was distributed using Nanodrop II, and material was pooled and amplified (4) before pair-end sequencing (5). Cells were clustered using RaceID2 (6). ( C ) Clustering of cardiac cells and cell-to-cell distances visualized by t -distributed stochastic neighbor-embedding ( t -SNE) map, highlighting identified major cardiac cell types. ( D ) Numbers of cells assigned to each cardiac cell lineage. ( E ) t -SNE map highlighting identified cell types based on previously described cellular markers (logarithmic scale of transcript expression). Markers expression is shown in Lower panel by immunofluorescent staining. (Scale bars: 50 μm.) ( F ) t -SNE map displaying cell cycle stage of each cell [S (red), G 2 /M (green), G 0 /G 1 (blue)] assigned by the cyclone algorithm. ( G ) t -SNE map showing the Ki67-RFP status from the flow cytometry data; Ki67-RFP + (red), Ki67-RFP − (black), or Mki67 wt/wt cells without TagRFP construct (gray) and radar plot showing Ki67-RFP + cells enriched for the cycling G 2 /M stage according to the cyclone algorithm. Asterisks indicate significance (χ 2 test: *** P
    Cold Dntps, supplied by Promega, used in various techniques. Bioz Stars score: 79/100, based on 6 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/cold dntps/product/Promega
    Average 79 stars, based on 6 article reviews
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    cold dntps - by Bioz Stars, 2020-01
    79/100 stars
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    88
    Promega deoxyribonucleotide triphosphates dntps
    Single-cell transcriptome analysis uncovers distinct proliferative populations within the murine heart. ( A ) Experimental timeline for tissue collection of hearts from wild-type and Mki67 RFP mice, either neonatal or adults, 14 d after sham, ischemia/reperfusion (I/R), or MI surgery ( n = 2–4 mice per condition). ( B ) Schematic representation of <t>SORT-seq</t> workflow. Hearts were isolated (1) and digested into single-cell suspension (2), and Ki67-RFP + and Ki67-RFP − cells were sorted into 384-well plates containing primers, <t>dNTPs,</t> and spike-ins (3). Retrotranscription mix was distributed using Nanodrop II, and material was pooled and amplified (4) before pair-end sequencing (5). Cells were clustered using RaceID2 (6). ( C ) Clustering of cardiac cells and cell-to-cell distances visualized by t -distributed stochastic neighbor-embedding ( t -SNE) map, highlighting identified major cardiac cell types. ( D ) Numbers of cells assigned to each cardiac cell lineage. ( E ) t -SNE map highlighting identified cell types based on previously described cellular markers (logarithmic scale of transcript expression). Markers expression is shown in Lower panel by immunofluorescent staining. (Scale bars: 50 μm.) ( F ) t -SNE map displaying cell cycle stage of each cell [S (red), G 2 /M (green), G 0 /G 1 (blue)] assigned by the cyclone algorithm. ( G ) t -SNE map showing the Ki67-RFP status from the flow cytometry data; Ki67-RFP + (red), Ki67-RFP − (black), or Mki67 wt/wt cells without TagRFP construct (gray) and radar plot showing Ki67-RFP + cells enriched for the cycling G 2 /M stage according to the cyclone algorithm. Asterisks indicate significance (χ 2 test: *** P
    Deoxyribonucleotide Triphosphates Dntps, supplied by Promega, used in various techniques. Bioz Stars score: 88/100, based on 47 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/deoxyribonucleotide triphosphates dntps/product/Promega
    Average 88 stars, based on 47 article reviews
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    deoxyribonucleotide triphosphates dntps - by Bioz Stars, 2020-01
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    98
    Promega dntp mix
    Single-cell transcriptome analysis uncovers distinct proliferative populations within the murine heart. ( A ) Experimental timeline for tissue collection of hearts from wild-type and Mki67 RFP mice, either neonatal or adults, 14 d after sham, ischemia/reperfusion (I/R), or MI surgery ( n = 2–4 mice per condition). ( B ) Schematic representation of <t>SORT-seq</t> workflow. Hearts were isolated (1) and digested into single-cell suspension (2), and Ki67-RFP + and Ki67-RFP − cells were sorted into 384-well plates containing primers, <t>dNTPs,</t> and spike-ins (3). Retrotranscription mix was distributed using Nanodrop II, and material was pooled and amplified (4) before pair-end sequencing (5). Cells were clustered using RaceID2 (6). ( C ) Clustering of cardiac cells and cell-to-cell distances visualized by t -distributed stochastic neighbor-embedding ( t -SNE) map, highlighting identified major cardiac cell types. ( D ) Numbers of cells assigned to each cardiac cell lineage. ( E ) t -SNE map highlighting identified cell types based on previously described cellular markers (logarithmic scale of transcript expression). Markers expression is shown in Lower panel by immunofluorescent staining. (Scale bars: 50 μm.) ( F ) t -SNE map displaying cell cycle stage of each cell [S (red), G 2 /M (green), G 0 /G 1 (blue)] assigned by the cyclone algorithm. ( G ) t -SNE map showing the Ki67-RFP status from the flow cytometry data; Ki67-RFP + (red), Ki67-RFP − (black), or Mki67 wt/wt cells without TagRFP construct (gray) and radar plot showing Ki67-RFP + cells enriched for the cycling G 2 /M stage according to the cyclone algorithm. Asterisks indicate significance (χ 2 test: *** P
    Dntp Mix, supplied by Promega, used in various techniques. Bioz Stars score: 98/100, based on 3039 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/dntp mix/product/Promega
    Average 98 stars, based on 3039 article reviews
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    dntp mix - by Bioz Stars, 2020-01
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    82
    Promega oligonucleotide triphospates dntps
    Single-cell transcriptome analysis uncovers distinct proliferative populations within the murine heart. ( A ) Experimental timeline for tissue collection of hearts from wild-type and Mki67 RFP mice, either neonatal or adults, 14 d after sham, ischemia/reperfusion (I/R), or MI surgery ( n = 2–4 mice per condition). ( B ) Schematic representation of <t>SORT-seq</t> workflow. Hearts were isolated (1) and digested into single-cell suspension (2), and Ki67-RFP + and Ki67-RFP − cells were sorted into 384-well plates containing primers, <t>dNTPs,</t> and spike-ins (3). Retrotranscription mix was distributed using Nanodrop II, and material was pooled and amplified (4) before pair-end sequencing (5). Cells were clustered using RaceID2 (6). ( C ) Clustering of cardiac cells and cell-to-cell distances visualized by t -distributed stochastic neighbor-embedding ( t -SNE) map, highlighting identified major cardiac cell types. ( D ) Numbers of cells assigned to each cardiac cell lineage. ( E ) t -SNE map highlighting identified cell types based on previously described cellular markers (logarithmic scale of transcript expression). Markers expression is shown in Lower panel by immunofluorescent staining. (Scale bars: 50 μm.) ( F ) t -SNE map displaying cell cycle stage of each cell [S (red), G 2 /M (green), G 0 /G 1 (blue)] assigned by the cyclone algorithm. ( G ) t -SNE map showing the Ki67-RFP status from the flow cytometry data; Ki67-RFP + (red), Ki67-RFP − (black), or Mki67 wt/wt cells without TagRFP construct (gray) and radar plot showing Ki67-RFP + cells enriched for the cycling G 2 /M stage according to the cyclone algorithm. Asterisks indicate significance (χ 2 test: *** P
    Oligonucleotide Triphospates Dntps, supplied by Promega, used in various techniques. Bioz Stars score: 82/100, based on 7 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Average 82 stars, based on 7 article reviews
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    oligonucleotide triphospates dntps - by Bioz Stars, 2020-01
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    76
    Promega α thio dntp
    Single-cell transcriptome analysis uncovers distinct proliferative populations within the murine heart. ( A ) Experimental timeline for tissue collection of hearts from wild-type and Mki67 RFP mice, either neonatal or adults, 14 d after sham, ischemia/reperfusion (I/R), or MI surgery ( n = 2–4 mice per condition). ( B ) Schematic representation of <t>SORT-seq</t> workflow. Hearts were isolated (1) and digested into single-cell suspension (2), and Ki67-RFP + and Ki67-RFP − cells were sorted into 384-well plates containing primers, <t>dNTPs,</t> and spike-ins (3). Retrotranscription mix was distributed using Nanodrop II, and material was pooled and amplified (4) before pair-end sequencing (5). Cells were clustered using RaceID2 (6). ( C ) Clustering of cardiac cells and cell-to-cell distances visualized by t -distributed stochastic neighbor-embedding ( t -SNE) map, highlighting identified major cardiac cell types. ( D ) Numbers of cells assigned to each cardiac cell lineage. ( E ) t -SNE map highlighting identified cell types based on previously described cellular markers (logarithmic scale of transcript expression). Markers expression is shown in Lower panel by immunofluorescent staining. (Scale bars: 50 μm.) ( F ) t -SNE map displaying cell cycle stage of each cell [S (red), G 2 /M (green), G 0 /G 1 (blue)] assigned by the cyclone algorithm. ( G ) t -SNE map showing the Ki67-RFP status from the flow cytometry data; Ki67-RFP + (red), Ki67-RFP − (black), or Mki67 wt/wt cells without TagRFP construct (gray) and radar plot showing Ki67-RFP + cells enriched for the cycling G 2 /M stage according to the cyclone algorithm. Asterisks indicate significance (χ 2 test: *** P
    α Thio Dntp, supplied by Promega, used in various techniques. Bioz Stars score: 76/100, based on 5 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    α thio dntp - by Bioz Stars, 2020-01
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    75
    Promega ultrapure dntp set
    Single-cell transcriptome analysis uncovers distinct proliferative populations within the murine heart. ( A ) Experimental timeline for tissue collection of hearts from wild-type and Mki67 RFP mice, either neonatal or adults, 14 d after sham, ischemia/reperfusion (I/R), or MI surgery ( n = 2–4 mice per condition). ( B ) Schematic representation of <t>SORT-seq</t> workflow. Hearts were isolated (1) and digested into single-cell suspension (2), and Ki67-RFP + and Ki67-RFP − cells were sorted into 384-well plates containing primers, <t>dNTPs,</t> and spike-ins (3). Retrotranscription mix was distributed using Nanodrop II, and material was pooled and amplified (4) before pair-end sequencing (5). Cells were clustered using RaceID2 (6). ( C ) Clustering of cardiac cells and cell-to-cell distances visualized by t -distributed stochastic neighbor-embedding ( t -SNE) map, highlighting identified major cardiac cell types. ( D ) Numbers of cells assigned to each cardiac cell lineage. ( E ) t -SNE map highlighting identified cell types based on previously described cellular markers (logarithmic scale of transcript expression). Markers expression is shown in Lower panel by immunofluorescent staining. (Scale bars: 50 μm.) ( F ) t -SNE map displaying cell cycle stage of each cell [S (red), G 2 /M (green), G 0 /G 1 (blue)] assigned by the cyclone algorithm. ( G ) t -SNE map showing the Ki67-RFP status from the flow cytometry data; Ki67-RFP + (red), Ki67-RFP − (black), or Mki67 wt/wt cells without TagRFP construct (gray) and radar plot showing Ki67-RFP + cells enriched for the cycling G 2 /M stage according to the cyclone algorithm. Asterisks indicate significance (χ 2 test: *** P
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    Single-cell transcriptome analysis uncovers distinct proliferative populations within the murine heart. ( A ) Experimental timeline for tissue collection of hearts from wild-type and Mki67 RFP mice, either neonatal or adults, 14 d after sham, ischemia/reperfusion (I/R), or MI surgery ( n = 2–4 mice per condition). ( B ) Schematic representation of <t>SORT-seq</t> workflow. Hearts were isolated (1) and digested into single-cell suspension (2), and Ki67-RFP + and Ki67-RFP − cells were sorted into 384-well plates containing primers, <t>dNTPs,</t> and spike-ins (3). Retrotranscription mix was distributed using Nanodrop II, and material was pooled and amplified (4) before pair-end sequencing (5). Cells were clustered using RaceID2 (6). ( C ) Clustering of cardiac cells and cell-to-cell distances visualized by t -distributed stochastic neighbor-embedding ( t -SNE) map, highlighting identified major cardiac cell types. ( D ) Numbers of cells assigned to each cardiac cell lineage. ( E ) t -SNE map highlighting identified cell types based on previously described cellular markers (logarithmic scale of transcript expression). Markers expression is shown in Lower panel by immunofluorescent staining. (Scale bars: 50 μm.) ( F ) t -SNE map displaying cell cycle stage of each cell [S (red), G 2 /M (green), G 0 /G 1 (blue)] assigned by the cyclone algorithm. ( G ) t -SNE map showing the Ki67-RFP status from the flow cytometry data; Ki67-RFP + (red), Ki67-RFP − (black), or Mki67 wt/wt cells without TagRFP construct (gray) and radar plot showing Ki67-RFP + cells enriched for the cycling G 2 /M stage according to the cyclone algorithm. Asterisks indicate significance (χ 2 test: *** P
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    Single-cell transcriptome analysis uncovers distinct proliferative populations within the murine heart. ( A ) Experimental timeline for tissue collection of hearts from wild-type and Mki67 RFP mice, either neonatal or adults, 14 d after sham, ischemia/reperfusion (I/R), or MI surgery ( n = 2–4 mice per condition). ( B ) Schematic representation of <t>SORT-seq</t> workflow. Hearts were isolated (1) and digested into single-cell suspension (2), and Ki67-RFP + and Ki67-RFP − cells were sorted into 384-well plates containing primers, <t>dNTPs,</t> and spike-ins (3). Retrotranscription mix was distributed using Nanodrop II, and material was pooled and amplified (4) before pair-end sequencing (5). Cells were clustered using RaceID2 (6). ( C ) Clustering of cardiac cells and cell-to-cell distances visualized by t -distributed stochastic neighbor-embedding ( t -SNE) map, highlighting identified major cardiac cell types. ( D ) Numbers of cells assigned to each cardiac cell lineage. ( E ) t -SNE map highlighting identified cell types based on previously described cellular markers (logarithmic scale of transcript expression). Markers expression is shown in Lower panel by immunofluorescent staining. (Scale bars: 50 μm.) ( F ) t -SNE map displaying cell cycle stage of each cell [S (red), G 2 /M (green), G 0 /G 1 (blue)] assigned by the cyclone algorithm. ( G ) t -SNE map showing the Ki67-RFP status from the flow cytometry data; Ki67-RFP + (red), Ki67-RFP − (black), or Mki67 wt/wt cells without TagRFP construct (gray) and radar plot showing Ki67-RFP + cells enriched for the cycling G 2 /M stage according to the cyclone algorithm. Asterisks indicate significance (χ 2 test: *** P
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    Single-cell transcriptome analysis uncovers distinct proliferative populations within the murine heart. ( A ) Experimental timeline for tissue collection of hearts from wild-type and Mki67 RFP mice, either neonatal or adults, 14 d after sham, ischemia/reperfusion (I/R), or MI surgery ( n = 2–4 mice per condition). ( B ) Schematic representation of <t>SORT-seq</t> workflow. Hearts were isolated (1) and digested into single-cell suspension (2), and Ki67-RFP + and Ki67-RFP − cells were sorted into 384-well plates containing primers, <t>dNTPs,</t> and spike-ins (3). Retrotranscription mix was distributed using Nanodrop II, and material was pooled and amplified (4) before pair-end sequencing (5). Cells were clustered using RaceID2 (6). ( C ) Clustering of cardiac cells and cell-to-cell distances visualized by t -distributed stochastic neighbor-embedding ( t -SNE) map, highlighting identified major cardiac cell types. ( D ) Numbers of cells assigned to each cardiac cell lineage. ( E ) t -SNE map highlighting identified cell types based on previously described cellular markers (logarithmic scale of transcript expression). Markers expression is shown in Lower panel by immunofluorescent staining. (Scale bars: 50 μm.) ( F ) t -SNE map displaying cell cycle stage of each cell [S (red), G 2 /M (green), G 0 /G 1 (blue)] assigned by the cyclone algorithm. ( G ) t -SNE map showing the Ki67-RFP status from the flow cytometry data; Ki67-RFP + (red), Ki67-RFP − (black), or Mki67 wt/wt cells without TagRFP construct (gray) and radar plot showing Ki67-RFP + cells enriched for the cycling G 2 /M stage according to the cyclone algorithm. Asterisks indicate significance (χ 2 test: *** P
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    Single-cell transcriptome analysis uncovers distinct proliferative populations within the murine heart. ( A ) Experimental timeline for tissue collection of hearts from wild-type and Mki67 RFP mice, either neonatal or adults, 14 d after sham, ischemia/reperfusion (I/R), or MI surgery ( n = 2–4 mice per condition). ( B ) Schematic representation of <t>SORT-seq</t> workflow. Hearts were isolated (1) and digested into single-cell suspension (2), and Ki67-RFP + and Ki67-RFP − cells were sorted into 384-well plates containing primers, <t>dNTPs,</t> and spike-ins (3). Retrotranscription mix was distributed using Nanodrop II, and material was pooled and amplified (4) before pair-end sequencing (5). Cells were clustered using RaceID2 (6). ( C ) Clustering of cardiac cells and cell-to-cell distances visualized by t -distributed stochastic neighbor-embedding ( t -SNE) map, highlighting identified major cardiac cell types. ( D ) Numbers of cells assigned to each cardiac cell lineage. ( E ) t -SNE map highlighting identified cell types based on previously described cellular markers (logarithmic scale of transcript expression). Markers expression is shown in Lower panel by immunofluorescent staining. (Scale bars: 50 μm.) ( F ) t -SNE map displaying cell cycle stage of each cell [S (red), G 2 /M (green), G 0 /G 1 (blue)] assigned by the cyclone algorithm. ( G ) t -SNE map showing the Ki67-RFP status from the flow cytometry data; Ki67-RFP + (red), Ki67-RFP − (black), or Mki67 wt/wt cells without TagRFP construct (gray) and radar plot showing Ki67-RFP + cells enriched for the cycling G 2 /M stage according to the cyclone algorithm. Asterisks indicate significance (χ 2 test: *** P
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    Single-cell transcriptome analysis uncovers distinct proliferative populations within the murine heart. ( A ) Experimental timeline for tissue collection of hearts from wild-type and Mki67 RFP mice, either neonatal or adults, 14 d after sham, ischemia/reperfusion (I/R), or MI surgery ( n = 2–4 mice per condition). ( B ) Schematic representation of <t>SORT-seq</t> workflow. Hearts were isolated (1) and digested into single-cell suspension (2), and Ki67-RFP + and Ki67-RFP − cells were sorted into 384-well plates containing primers, <t>dNTPs,</t> and spike-ins (3). Retrotranscription mix was distributed using Nanodrop II, and material was pooled and amplified (4) before pair-end sequencing (5). Cells were clustered using RaceID2 (6). ( C ) Clustering of cardiac cells and cell-to-cell distances visualized by t -distributed stochastic neighbor-embedding ( t -SNE) map, highlighting identified major cardiac cell types. ( D ) Numbers of cells assigned to each cardiac cell lineage. ( E ) t -SNE map highlighting identified cell types based on previously described cellular markers (logarithmic scale of transcript expression). Markers expression is shown in Lower panel by immunofluorescent staining. (Scale bars: 50 μm.) ( F ) t -SNE map displaying cell cycle stage of each cell [S (red), G 2 /M (green), G 0 /G 1 (blue)] assigned by the cyclone algorithm. ( G ) t -SNE map showing the Ki67-RFP status from the flow cytometry data; Ki67-RFP + (red), Ki67-RFP − (black), or Mki67 wt/wt cells without TagRFP construct (gray) and radar plot showing Ki67-RFP + cells enriched for the cycling G 2 /M stage according to the cyclone algorithm. Asterisks indicate significance (χ 2 test: *** P
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    Single-cell transcriptome analysis uncovers distinct proliferative populations within the murine heart. ( A ) Experimental timeline for tissue collection of hearts from wild-type and Mki67 RFP mice, either neonatal or adults, 14 d after sham, ischemia/reperfusion (I/R), or MI surgery ( n = 2–4 mice per condition). ( B ) Schematic representation of <t>SORT-seq</t> workflow. Hearts were isolated (1) and digested into single-cell suspension (2), and Ki67-RFP + and Ki67-RFP − cells were sorted into 384-well plates containing primers, <t>dNTPs,</t> and spike-ins (3). Retrotranscription mix was distributed using Nanodrop II, and material was pooled and amplified (4) before pair-end sequencing (5). Cells were clustered using RaceID2 (6). ( C ) Clustering of cardiac cells and cell-to-cell distances visualized by t -distributed stochastic neighbor-embedding ( t -SNE) map, highlighting identified major cardiac cell types. ( D ) Numbers of cells assigned to each cardiac cell lineage. ( E ) t -SNE map highlighting identified cell types based on previously described cellular markers (logarithmic scale of transcript expression). Markers expression is shown in Lower panel by immunofluorescent staining. (Scale bars: 50 μm.) ( F ) t -SNE map displaying cell cycle stage of each cell [S (red), G 2 /M (green), G 0 /G 1 (blue)] assigned by the cyclone algorithm. ( G ) t -SNE map showing the Ki67-RFP status from the flow cytometry data; Ki67-RFP + (red), Ki67-RFP − (black), or Mki67 wt/wt cells without TagRFP construct (gray) and radar plot showing Ki67-RFP + cells enriched for the cycling G 2 /M stage according to the cyclone algorithm. Asterisks indicate significance (χ 2 test: *** P
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    Single-cell transcriptome analysis uncovers distinct proliferative populations within the murine heart. ( A ) Experimental timeline for tissue collection of hearts from wild-type and Mki67 RFP mice, either neonatal or adults, 14 d after sham, ischemia/reperfusion (I/R), or MI surgery ( n = 2–4 mice per condition). ( B ) Schematic representation of <t>SORT-seq</t> workflow. Hearts were isolated (1) and digested into single-cell suspension (2), and Ki67-RFP + and Ki67-RFP − cells were sorted into 384-well plates containing primers, <t>dNTPs,</t> and spike-ins (3). Retrotranscription mix was distributed using Nanodrop II, and material was pooled and amplified (4) before pair-end sequencing (5). Cells were clustered using RaceID2 (6). ( C ) Clustering of cardiac cells and cell-to-cell distances visualized by t -distributed stochastic neighbor-embedding ( t -SNE) map, highlighting identified major cardiac cell types. ( D ) Numbers of cells assigned to each cardiac cell lineage. ( E ) t -SNE map highlighting identified cell types based on previously described cellular markers (logarithmic scale of transcript expression). Markers expression is shown in Lower panel by immunofluorescent staining. (Scale bars: 50 μm.) ( F ) t -SNE map displaying cell cycle stage of each cell [S (red), G 2 /M (green), G 0 /G 1 (blue)] assigned by the cyclone algorithm. ( G ) t -SNE map showing the Ki67-RFP status from the flow cytometry data; Ki67-RFP + (red), Ki67-RFP − (black), or Mki67 wt/wt cells without TagRFP construct (gray) and radar plot showing Ki67-RFP + cells enriched for the cycling G 2 /M stage according to the cyclone algorithm. Asterisks indicate significance (χ 2 test: *** P
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    Single-cell transcriptome analysis uncovers distinct proliferative populations within the murine heart. ( A ) Experimental timeline for tissue collection of hearts from wild-type and Mki67 RFP mice, either neonatal or adults, 14 d after sham, ischemia/reperfusion (I/R), or MI surgery ( n = 2–4 mice per condition). ( B ) Schematic representation of <t>SORT-seq</t> workflow. Hearts were isolated (1) and digested into single-cell suspension (2), and Ki67-RFP + and Ki67-RFP − cells were sorted into 384-well plates containing primers, <t>dNTPs,</t> and spike-ins (3). Retrotranscription mix was distributed using Nanodrop II, and material was pooled and amplified (4) before pair-end sequencing (5). Cells were clustered using RaceID2 (6). ( C ) Clustering of cardiac cells and cell-to-cell distances visualized by t -distributed stochastic neighbor-embedding ( t -SNE) map, highlighting identified major cardiac cell types. ( D ) Numbers of cells assigned to each cardiac cell lineage. ( E ) t -SNE map highlighting identified cell types based on previously described cellular markers (logarithmic scale of transcript expression). Markers expression is shown in Lower panel by immunofluorescent staining. (Scale bars: 50 μm.) ( F ) t -SNE map displaying cell cycle stage of each cell [S (red), G 2 /M (green), G 0 /G 1 (blue)] assigned by the cyclone algorithm. ( G ) t -SNE map showing the Ki67-RFP status from the flow cytometry data; Ki67-RFP + (red), Ki67-RFP − (black), or Mki67 wt/wt cells without TagRFP construct (gray) and radar plot showing Ki67-RFP + cells enriched for the cycling G 2 /M stage according to the cyclone algorithm. Asterisks indicate significance (χ 2 test: *** P
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    Single-cell transcriptome analysis uncovers distinct proliferative populations within the murine heart. ( A ) Experimental timeline for tissue collection of hearts from wild-type and Mki67 RFP mice, either neonatal or adults, 14 d after sham, ischemia/reperfusion (I/R), or MI surgery ( n = 2–4 mice per condition). ( B ) Schematic representation of <t>SORT-seq</t> workflow. Hearts were isolated (1) and digested into single-cell suspension (2), and Ki67-RFP + and Ki67-RFP − cells were sorted into 384-well plates containing primers, <t>dNTPs,</t> and spike-ins (3). Retrotranscription mix was distributed using Nanodrop II, and material was pooled and amplified (4) before pair-end sequencing (5). Cells were clustered using RaceID2 (6). ( C ) Clustering of cardiac cells and cell-to-cell distances visualized by t -distributed stochastic neighbor-embedding ( t -SNE) map, highlighting identified major cardiac cell types. ( D ) Numbers of cells assigned to each cardiac cell lineage. ( E ) t -SNE map highlighting identified cell types based on previously described cellular markers (logarithmic scale of transcript expression). Markers expression is shown in Lower panel by immunofluorescent staining. (Scale bars: 50 μm.) ( F ) t -SNE map displaying cell cycle stage of each cell [S (red), G 2 /M (green), G 0 /G 1 (blue)] assigned by the cyclone algorithm. ( G ) t -SNE map showing the Ki67-RFP status from the flow cytometry data; Ki67-RFP + (red), Ki67-RFP − (black), or Mki67 wt/wt cells without TagRFP construct (gray) and radar plot showing Ki67-RFP + cells enriched for the cycling G 2 /M stage according to the cyclone algorithm. Asterisks indicate significance (χ 2 test: *** P
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    Single-cell transcriptome analysis uncovers distinct proliferative populations within the murine heart. ( A ) Experimental timeline for tissue collection of hearts from wild-type and Mki67 RFP mice, either neonatal or adults, 14 d after sham, ischemia/reperfusion (I/R), or MI surgery ( n = 2–4 mice per condition). ( B ) Schematic representation of <t>SORT-seq</t> workflow. Hearts were isolated (1) and digested into single-cell suspension (2), and Ki67-RFP + and Ki67-RFP − cells were sorted into 384-well plates containing primers, <t>dNTPs,</t> and spike-ins (3). Retrotranscription mix was distributed using Nanodrop II, and material was pooled and amplified (4) before pair-end sequencing (5). Cells were clustered using RaceID2 (6). ( C ) Clustering of cardiac cells and cell-to-cell distances visualized by t -distributed stochastic neighbor-embedding ( t -SNE) map, highlighting identified major cardiac cell types. ( D ) Numbers of cells assigned to each cardiac cell lineage. ( E ) t -SNE map highlighting identified cell types based on previously described cellular markers (logarithmic scale of transcript expression). Markers expression is shown in Lower panel by immunofluorescent staining. (Scale bars: 50 μm.) ( F ) t -SNE map displaying cell cycle stage of each cell [S (red), G 2 /M (green), G 0 /G 1 (blue)] assigned by the cyclone algorithm. ( G ) t -SNE map showing the Ki67-RFP status from the flow cytometry data; Ki67-RFP + (red), Ki67-RFP − (black), or Mki67 wt/wt cells without TagRFP construct (gray) and radar plot showing Ki67-RFP + cells enriched for the cycling G 2 /M stage according to the cyclone algorithm. Asterisks indicate significance (χ 2 test: *** P
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    Single-cell transcriptome analysis uncovers distinct proliferative populations within the murine heart. ( A ) Experimental timeline for tissue collection of hearts from wild-type and Mki67 RFP mice, either neonatal or adults, 14 d after sham, ischemia/reperfusion (I/R), or MI surgery ( n = 2–4 mice per condition). ( B ) Schematic representation of <t>SORT-seq</t> workflow. Hearts were isolated (1) and digested into single-cell suspension (2), and Ki67-RFP + and Ki67-RFP − cells were sorted into 384-well plates containing primers, <t>dNTPs,</t> and spike-ins (3). Retrotranscription mix was distributed using Nanodrop II, and material was pooled and amplified (4) before pair-end sequencing (5). Cells were clustered using RaceID2 (6). ( C ) Clustering of cardiac cells and cell-to-cell distances visualized by t -distributed stochastic neighbor-embedding ( t -SNE) map, highlighting identified major cardiac cell types. ( D ) Numbers of cells assigned to each cardiac cell lineage. ( E ) t -SNE map highlighting identified cell types based on previously described cellular markers (logarithmic scale of transcript expression). Markers expression is shown in Lower panel by immunofluorescent staining. (Scale bars: 50 μm.) ( F ) t -SNE map displaying cell cycle stage of each cell [S (red), G 2 /M (green), G 0 /G 1 (blue)] assigned by the cyclone algorithm. ( G ) t -SNE map showing the Ki67-RFP status from the flow cytometry data; Ki67-RFP + (red), Ki67-RFP − (black), or Mki67 wt/wt cells without TagRFP construct (gray) and radar plot showing Ki67-RFP + cells enriched for the cycling G 2 /M stage according to the cyclone algorithm. Asterisks indicate significance (χ 2 test: *** P
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    Single-cell transcriptome analysis uncovers distinct proliferative populations within the murine heart. ( A ) Experimental timeline for tissue collection of hearts from wild-type and Mki67 RFP mice, either neonatal or adults, 14 d after sham, ischemia/reperfusion (I/R), or MI surgery ( n = 2–4 mice per condition). ( B ) Schematic representation of <t>SORT-seq</t> workflow. Hearts were isolated (1) and digested into single-cell suspension (2), and Ki67-RFP + and Ki67-RFP − cells were sorted into 384-well plates containing primers, <t>dNTPs,</t> and spike-ins (3). Retrotranscription mix was distributed using Nanodrop II, and material was pooled and amplified (4) before pair-end sequencing (5). Cells were clustered using RaceID2 (6). ( C ) Clustering of cardiac cells and cell-to-cell distances visualized by t -distributed stochastic neighbor-embedding ( t -SNE) map, highlighting identified major cardiac cell types. ( D ) Numbers of cells assigned to each cardiac cell lineage. ( E ) t -SNE map highlighting identified cell types based on previously described cellular markers (logarithmic scale of transcript expression). Markers expression is shown in Lower panel by immunofluorescent staining. (Scale bars: 50 μm.) ( F ) t -SNE map displaying cell cycle stage of each cell [S (red), G 2 /M (green), G 0 /G 1 (blue)] assigned by the cyclone algorithm. ( G ) t -SNE map showing the Ki67-RFP status from the flow cytometry data; Ki67-RFP + (red), Ki67-RFP − (black), or Mki67 wt/wt cells without TagRFP construct (gray) and radar plot showing Ki67-RFP + cells enriched for the cycling G 2 /M stage according to the cyclone algorithm. Asterisks indicate significance (χ 2 test: *** P
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    Single-cell transcriptome analysis uncovers distinct proliferative populations within the murine heart. ( A ) Experimental timeline for tissue collection of hearts from wild-type and Mki67 RFP mice, either neonatal or adults, 14 d after sham, ischemia/reperfusion (I/R), or MI surgery ( n = 2–4 mice per condition). ( B ) Schematic representation of <t>SORT-seq</t> workflow. Hearts were isolated (1) and digested into single-cell suspension (2), and Ki67-RFP + and Ki67-RFP − cells were sorted into 384-well plates containing primers, <t>dNTPs,</t> and spike-ins (3). Retrotranscription mix was distributed using Nanodrop II, and material was pooled and amplified (4) before pair-end sequencing (5). Cells were clustered using RaceID2 (6). ( C ) Clustering of cardiac cells and cell-to-cell distances visualized by t -distributed stochastic neighbor-embedding ( t -SNE) map, highlighting identified major cardiac cell types. ( D ) Numbers of cells assigned to each cardiac cell lineage. ( E ) t -SNE map highlighting identified cell types based on previously described cellular markers (logarithmic scale of transcript expression). Markers expression is shown in Lower panel by immunofluorescent staining. (Scale bars: 50 μm.) ( F ) t -SNE map displaying cell cycle stage of each cell [S (red), G 2 /M (green), G 0 /G 1 (blue)] assigned by the cyclone algorithm. ( G ) t -SNE map showing the Ki67-RFP status from the flow cytometry data; Ki67-RFP + (red), Ki67-RFP − (black), or Mki67 wt/wt cells without TagRFP construct (gray) and radar plot showing Ki67-RFP + cells enriched for the cycling G 2 /M stage according to the cyclone algorithm. Asterisks indicate significance (χ 2 test: *** P
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    Single-cell transcriptome analysis uncovers distinct proliferative populations within the murine heart. ( A ) Experimental timeline for tissue collection of hearts from wild-type and Mki67 RFP mice, either neonatal or adults, 14 d after sham, ischemia/reperfusion (I/R), or MI surgery ( n = 2–4 mice per condition). ( B ) Schematic representation of <t>SORT-seq</t> workflow. Hearts were isolated (1) and digested into single-cell suspension (2), and Ki67-RFP + and Ki67-RFP − cells were sorted into 384-well plates containing primers, <t>dNTPs,</t> and spike-ins (3). Retrotranscription mix was distributed using Nanodrop II, and material was pooled and amplified (4) before pair-end sequencing (5). Cells were clustered using RaceID2 (6). ( C ) Clustering of cardiac cells and cell-to-cell distances visualized by t -distributed stochastic neighbor-embedding ( t -SNE) map, highlighting identified major cardiac cell types. ( D ) Numbers of cells assigned to each cardiac cell lineage. ( E ) t -SNE map highlighting identified cell types based on previously described cellular markers (logarithmic scale of transcript expression). Markers expression is shown in Lower panel by immunofluorescent staining. (Scale bars: 50 μm.) ( F ) t -SNE map displaying cell cycle stage of each cell [S (red), G 2 /M (green), G 0 /G 1 (blue)] assigned by the cyclone algorithm. ( G ) t -SNE map showing the Ki67-RFP status from the flow cytometry data; Ki67-RFP + (red), Ki67-RFP − (black), or Mki67 wt/wt cells without TagRFP construct (gray) and radar plot showing Ki67-RFP + cells enriched for the cycling G 2 /M stage according to the cyclone algorithm. Asterisks indicate significance (χ 2 test: *** P
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    Single-cell transcriptome analysis uncovers distinct proliferative populations within the murine heart. ( A ) Experimental timeline for tissue collection of hearts from wild-type and Mki67 RFP mice, either neonatal or adults, 14 d after sham, ischemia/reperfusion (I/R), or MI surgery ( n = 2–4 mice per condition). ( B ) Schematic representation of SORT-seq workflow. Hearts were isolated (1) and digested into single-cell suspension (2), and Ki67-RFP + and Ki67-RFP − cells were sorted into 384-well plates containing primers, dNTPs, and spike-ins (3). Retrotranscription mix was distributed using Nanodrop II, and material was pooled and amplified (4) before pair-end sequencing (5). Cells were clustered using RaceID2 (6). ( C ) Clustering of cardiac cells and cell-to-cell distances visualized by t -distributed stochastic neighbor-embedding ( t -SNE) map, highlighting identified major cardiac cell types. ( D ) Numbers of cells assigned to each cardiac cell lineage. ( E ) t -SNE map highlighting identified cell types based on previously described cellular markers (logarithmic scale of transcript expression). Markers expression is shown in Lower panel by immunofluorescent staining. (Scale bars: 50 μm.) ( F ) t -SNE map displaying cell cycle stage of each cell [S (red), G 2 /M (green), G 0 /G 1 (blue)] assigned by the cyclone algorithm. ( G ) t -SNE map showing the Ki67-RFP status from the flow cytometry data; Ki67-RFP + (red), Ki67-RFP − (black), or Mki67 wt/wt cells without TagRFP construct (gray) and radar plot showing Ki67-RFP + cells enriched for the cycling G 2 /M stage according to the cyclone algorithm. Asterisks indicate significance (χ 2 test: *** P

    Journal: Proceedings of the National Academy of Sciences of the United States of America

    Article Title: Profiling proliferative cells and their progeny in damaged murine hearts

    doi: 10.1073/pnas.1805829115

    Figure Lengend Snippet: Single-cell transcriptome analysis uncovers distinct proliferative populations within the murine heart. ( A ) Experimental timeline for tissue collection of hearts from wild-type and Mki67 RFP mice, either neonatal or adults, 14 d after sham, ischemia/reperfusion (I/R), or MI surgery ( n = 2–4 mice per condition). ( B ) Schematic representation of SORT-seq workflow. Hearts were isolated (1) and digested into single-cell suspension (2), and Ki67-RFP + and Ki67-RFP − cells were sorted into 384-well plates containing primers, dNTPs, and spike-ins (3). Retrotranscription mix was distributed using Nanodrop II, and material was pooled and amplified (4) before pair-end sequencing (5). Cells were clustered using RaceID2 (6). ( C ) Clustering of cardiac cells and cell-to-cell distances visualized by t -distributed stochastic neighbor-embedding ( t -SNE) map, highlighting identified major cardiac cell types. ( D ) Numbers of cells assigned to each cardiac cell lineage. ( E ) t -SNE map highlighting identified cell types based on previously described cellular markers (logarithmic scale of transcript expression). Markers expression is shown in Lower panel by immunofluorescent staining. (Scale bars: 50 μm.) ( F ) t -SNE map displaying cell cycle stage of each cell [S (red), G 2 /M (green), G 0 /G 1 (blue)] assigned by the cyclone algorithm. ( G ) t -SNE map showing the Ki67-RFP status from the flow cytometry data; Ki67-RFP + (red), Ki67-RFP − (black), or Mki67 wt/wt cells without TagRFP construct (gray) and radar plot showing Ki67-RFP + cells enriched for the cycling G 2 /M stage according to the cyclone algorithm. Asterisks indicate significance (χ 2 test: *** P

    Article Snippet: DAPI-negative and MitoTracker-positive living cells were either sorted into TRIzol reagent (Thermo Scientific) for bulk mRNA sequencing or into 384-well plates containing 96 or 384 unique molecular identifier barcode primer sets, ERCC92 spike-ins (Agilent) and dNTPs (Promega) for single-cell mRNA-sequencing (SORT-seq) ( ) using a flow sorter (FACSAriaII, FACSFusion, or FACSJazz; all BD).

    Techniques: Mouse Assay, Isolation, Amplification, Sequencing, Expressing, Staining, Flow Cytometry, Cytometry, Construct