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  • 99
    New England Biolabs nebuffer dpnii
    Nebuffer Dpnii, supplied by New England Biolabs, used in various techniques. Bioz Stars score: 99/100, based on 99 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    90
    New England Biolabs dpnii buffer
    MIAA identifies global influence of GC-content and differentially accessible motifs. A) GC-content observed to be correlated with accessibility in both stem and endoderm cells from positive (universally opening) and negative (universally closing) control sequences. B) GC-content correlated with accessibility in random <t>DNA</t> phrases. The regression model was trained on MIAA Dpn proportions with GC-content, replicate, and cell type-specific effects of 20 motifs and 26 motif pairs as features, and predicts well on (C) training data (n = 21,420) and (D) held-out test data (n = 4,404). The correlation reported is the Pearson correlation coefficient (r). E) Regression weights of individual motifs and motif pairs in stem and definitive endoderm cells. Hierarchical clustering of regression weights followed by motif enrichment recovers clusters representing cell type-specific transcription factor DNA binding motifs. F) Example of individual motifs (left, middle) which alone do not differentially open chromatin, but differentially open chromatin stem cells in combination (right). Each dot represents the average <t>DpnII</t> read proportion of an individual phrase, compared to shuffled controls (CTRL). Significance computed by paired t-test.
    Dpnii Buffer, supplied by New England Biolabs, used in various techniques. Bioz Stars score: 90/100, based on 106 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    New England Biolabs dpnii
    MIAA identifies global influence of GC-content and differentially accessible motifs. A) GC-content observed to be correlated with accessibility in both stem and endoderm cells from positive (universally opening) and negative (universally closing) control sequences. B) GC-content correlated with accessibility in random <t>DNA</t> phrases. The regression model was trained on MIAA Dpn proportions with GC-content, replicate, and cell type-specific effects of 20 motifs and 26 motif pairs as features, and predicts well on (C) training data (n = 21,420) and (D) held-out test data (n = 4,404). The correlation reported is the Pearson correlation coefficient (r). E) Regression weights of individual motifs and motif pairs in stem and definitive endoderm cells. Hierarchical clustering of regression weights followed by motif enrichment recovers clusters representing cell type-specific transcription factor DNA binding motifs. F) Example of individual motifs (left, middle) which alone do not differentially open chromatin, but differentially open chromatin stem cells in combination (right). Each dot represents the average <t>DpnII</t> read proportion of an individual phrase, compared to shuffled controls (CTRL). Significance computed by paired t-test.
    Dpnii, supplied by New England Biolabs, used in various techniques. Bioz Stars score: 99/100, based on 1168 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    New England Biolabs dpnii reaction buffer
    MIAA identifies global influence of GC-content and differentially accessible motifs. A) GC-content observed to be correlated with accessibility in both stem and endoderm cells from positive (universally opening) and negative (universally closing) control sequences. B) GC-content correlated with accessibility in random <t>DNA</t> phrases. The regression model was trained on MIAA Dpn proportions with GC-content, replicate, and cell type-specific effects of 20 motifs and 26 motif pairs as features, and predicts well on (C) training data (n = 21,420) and (D) held-out test data (n = 4,404). The correlation reported is the Pearson correlation coefficient (r). E) Regression weights of individual motifs and motif pairs in stem and definitive endoderm cells. Hierarchical clustering of regression weights followed by motif enrichment recovers clusters representing cell type-specific transcription factor DNA binding motifs. F) Example of individual motifs (left, middle) which alone do not differentially open chromatin, but differentially open chromatin stem cells in combination (right). Each dot represents the average <t>DpnII</t> read proportion of an individual phrase, compared to shuffled controls (CTRL). Significance computed by paired t-test.
    Dpnii Reaction Buffer, supplied by New England Biolabs, used in various techniques. Bioz Stars score: 95/100, based on 13 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    New England Biolabs 1x nebuffer 3 1
    MIAA identifies global influence of GC-content and differentially accessible motifs. A) GC-content observed to be correlated with accessibility in both stem and endoderm cells from positive (universally opening) and negative (universally closing) control sequences. B) GC-content correlated with accessibility in random <t>DNA</t> phrases. The regression model was trained on MIAA Dpn proportions with GC-content, replicate, and cell type-specific effects of 20 motifs and 26 motif pairs as features, and predicts well on (C) training data (n = 21,420) and (D) held-out test data (n = 4,404). The correlation reported is the Pearson correlation coefficient (r). E) Regression weights of individual motifs and motif pairs in stem and definitive endoderm cells. Hierarchical clustering of regression weights followed by motif enrichment recovers clusters representing cell type-specific transcription factor DNA binding motifs. F) Example of individual motifs (left, middle) which alone do not differentially open chromatin, but differentially open chromatin stem cells in combination (right). Each dot represents the average <t>DpnII</t> read proportion of an individual phrase, compared to shuffled controls (CTRL). Significance computed by paired t-test.
    1x Nebuffer 3 1, supplied by New England Biolabs, used in various techniques. Bioz Stars score: 99/100, based on 50 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    New England Biolabs dpni
    MIAA identifies global influence of GC-content and differentially accessible motifs. A) GC-content observed to be correlated with accessibility in both stem and endoderm cells from positive (universally opening) and negative (universally closing) control sequences. B) GC-content correlated with accessibility in random <t>DNA</t> phrases. The regression model was trained on MIAA Dpn proportions with GC-content, replicate, and cell type-specific effects of 20 motifs and 26 motif pairs as features, and predicts well on (C) training data (n = 21,420) and (D) held-out test data (n = 4,404). The correlation reported is the Pearson correlation coefficient (r). E) Regression weights of individual motifs and motif pairs in stem and definitive endoderm cells. Hierarchical clustering of regression weights followed by motif enrichment recovers clusters representing cell type-specific transcription factor DNA binding motifs. F) Example of individual motifs (left, middle) which alone do not differentially open chromatin, but differentially open chromatin stem cells in combination (right). Each dot represents the average <t>DpnII</t> read proportion of an individual phrase, compared to shuffled controls (CTRL). Significance computed by paired t-test.
    Dpni, supplied by New England Biolabs, used in various techniques. Bioz Stars score: 99/100, based on 6549 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    New England Biolabs dpni mix
    MIAA identifies global influence of GC-content and differentially accessible motifs. A) GC-content observed to be correlated with accessibility in both stem and endoderm cells from positive (universally opening) and negative (universally closing) control sequences. B) GC-content correlated with accessibility in random <t>DNA</t> phrases. The regression model was trained on MIAA Dpn proportions with GC-content, replicate, and cell type-specific effects of 20 motifs and 26 motif pairs as features, and predicts well on (C) training data (n = 21,420) and (D) held-out test data (n = 4,404). The correlation reported is the Pearson correlation coefficient (r). E) Regression weights of individual motifs and motif pairs in stem and definitive endoderm cells. Hierarchical clustering of regression weights followed by motif enrichment recovers clusters representing cell type-specific transcription factor DNA binding motifs. F) Example of individual motifs (left, middle) which alone do not differentially open chromatin, but differentially open chromatin stem cells in combination (right). Each dot represents the average <t>DpnII</t> read proportion of an individual phrase, compared to shuffled controls (CTRL). Significance computed by paired t-test.
    Dpni Mix, supplied by New England Biolabs, used in various techniques. Bioz Stars score: 99/100, based on 3 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    New England Biolabs restriction buffer
    MIAA identifies global influence of GC-content and differentially accessible motifs. A) GC-content observed to be correlated with accessibility in both stem and endoderm cells from positive (universally opening) and negative (universally closing) control sequences. B) GC-content correlated with accessibility in random <t>DNA</t> phrases. The regression model was trained on MIAA Dpn proportions with GC-content, replicate, and cell type-specific effects of 20 motifs and 26 motif pairs as features, and predicts well on (C) training data (n = 21,420) and (D) held-out test data (n = 4,404). The correlation reported is the Pearson correlation coefficient (r). E) Regression weights of individual motifs and motif pairs in stem and definitive endoderm cells. Hierarchical clustering of regression weights followed by motif enrichment recovers clusters representing cell type-specific transcription factor DNA binding motifs. F) Example of individual motifs (left, middle) which alone do not differentially open chromatin, but differentially open chromatin stem cells in combination (right). Each dot represents the average <t>DpnII</t> read proportion of an individual phrase, compared to shuffled controls (CTRL). Significance computed by paired t-test.
    Restriction Buffer, supplied by New England Biolabs, used in various techniques. Bioz Stars score: 99/100, based on 411 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Image Search Results


    MIAA identifies global influence of GC-content and differentially accessible motifs. A) GC-content observed to be correlated with accessibility in both stem and endoderm cells from positive (universally opening) and negative (universally closing) control sequences. B) GC-content correlated with accessibility in random DNA phrases. The regression model was trained on MIAA Dpn proportions with GC-content, replicate, and cell type-specific effects of 20 motifs and 26 motif pairs as features, and predicts well on (C) training data (n = 21,420) and (D) held-out test data (n = 4,404). The correlation reported is the Pearson correlation coefficient (r). E) Regression weights of individual motifs and motif pairs in stem and definitive endoderm cells. Hierarchical clustering of regression weights followed by motif enrichment recovers clusters representing cell type-specific transcription factor DNA binding motifs. F) Example of individual motifs (left, middle) which alone do not differentially open chromatin, but differentially open chromatin stem cells in combination (right). Each dot represents the average DpnII read proportion of an individual phrase, compared to shuffled controls (CTRL). Significance computed by paired t-test.

    Journal: bioRxiv

    Article Title: Identification of determinants of differential chromatin accessibility through a massively parallel genome-integrated reporter assay

    doi: 10.1101/2020.03.02.973396

    Figure Lengend Snippet: MIAA identifies global influence of GC-content and differentially accessible motifs. A) GC-content observed to be correlated with accessibility in both stem and endoderm cells from positive (universally opening) and negative (universally closing) control sequences. B) GC-content correlated with accessibility in random DNA phrases. The regression model was trained on MIAA Dpn proportions with GC-content, replicate, and cell type-specific effects of 20 motifs and 26 motif pairs as features, and predicts well on (C) training data (n = 21,420) and (D) held-out test data (n = 4,404). The correlation reported is the Pearson correlation coefficient (r). E) Regression weights of individual motifs and motif pairs in stem and definitive endoderm cells. Hierarchical clustering of regression weights followed by motif enrichment recovers clusters representing cell type-specific transcription factor DNA binding motifs. F) Example of individual motifs (left, middle) which alone do not differentially open chromatin, but differentially open chromatin stem cells in combination (right). Each dot represents the average DpnII read proportion of an individual phrase, compared to shuffled controls (CTRL). Significance computed by paired t-test.

    Article Snippet: DpnII digest:20 ug genomic DNA + 20 uL DpnII buffer (New England Biolabs) + 4 uL DpnII 9New England Biolabs) + up to 200 uL water.

    Techniques: Binding Assay

    Multiplexed Integrated Accessibility Assay (MIAA) measures local DNA accessibility of synthesized oligonucleotide phrase libraries. A) 100nt phrases are integrated into stem cells at a designated genomic locus. Stem cells are split and half are differentiated into definitive endoderm cells. Retinoic acid receptor fused to hyper-activated deoxyadenosine methylase (DAM) enzyme results in methylation of phrases that open DNA. DNA is extracted and half is exposed to DpnII, which cleaves unmethylated sequences, while half is exposed to DpnI, which cleaves methylated sequences. Sequences are PCR amplified and sequenced. B) DpnI and DpnII read counts measured from a single definitive endoderm replicate show difference between designed opening and closing phrases. C) Proportion of DpnII read counts measured from a single definitive endoderm replicate gives estimate of MIAA openness. D) 100nt native sequences that were differentially opening as measured by DNase-seq are differentially opening as measured by MIAA and different from randomly shuffled control sequences (significance measured by paired t-test). E) Differential accessibility as measured by log change in normalized DNase-seq reads and MIAA methylation proportion shows correlation between native differential accessibility and MIAA accessibility. The correlation reported is the Pearson correlation coefficient (r).

    Journal: bioRxiv

    Article Title: Identification of determinants of differential chromatin accessibility through a massively parallel genome-integrated reporter assay

    doi: 10.1101/2020.03.02.973396

    Figure Lengend Snippet: Multiplexed Integrated Accessibility Assay (MIAA) measures local DNA accessibility of synthesized oligonucleotide phrase libraries. A) 100nt phrases are integrated into stem cells at a designated genomic locus. Stem cells are split and half are differentiated into definitive endoderm cells. Retinoic acid receptor fused to hyper-activated deoxyadenosine methylase (DAM) enzyme results in methylation of phrases that open DNA. DNA is extracted and half is exposed to DpnII, which cleaves unmethylated sequences, while half is exposed to DpnI, which cleaves methylated sequences. Sequences are PCR amplified and sequenced. B) DpnI and DpnII read counts measured from a single definitive endoderm replicate show difference between designed opening and closing phrases. C) Proportion of DpnII read counts measured from a single definitive endoderm replicate gives estimate of MIAA openness. D) 100nt native sequences that were differentially opening as measured by DNase-seq are differentially opening as measured by MIAA and different from randomly shuffled control sequences (significance measured by paired t-test). E) Differential accessibility as measured by log change in normalized DNase-seq reads and MIAA methylation proportion shows correlation between native differential accessibility and MIAA accessibility. The correlation reported is the Pearson correlation coefficient (r).

    Article Snippet: DpnII digest:20 ug genomic DNA + 20 uL DpnII buffer (New England Biolabs) + 4 uL DpnII 9New England Biolabs) + up to 200 uL water.

    Techniques: Synthesized, Methylation, Polymerase Chain Reaction, Amplification