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Illumina Inc nla iii
Nla Iii, supplied by Illumina Inc, used in various techniques. Bioz Stars score: 91/100, based on 2 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/nla iii/product/Illumina Inc
Average 91 stars, based on 2 article reviews
Price from $9.99 to $1999.99
nla iii - by Bioz Stars, 2020-05
91/100 stars

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Sequencing:

Article Title: Transcriptome assembly and expression profiling of molecular responses to cadmium toxicity in hepatopancreas of the freshwater crab Sinopotamon henanense
Article Snippet: .. Subsequently, the bead-bound cDNA was digested with Nla III and added Illumina adapter 1, and then digested with Mme I and added Illumina adapter 2 to create the sequencing library. .. After amplification by PCR, cDNA tag library was purified and checked.

Isolation:

Article Title: Genome-Wide Mapping of DNA Methylation in Chicken
Article Snippet: .. The mRNAs were isolated and reverse transcribed into double-stranded cDNA on magnetic beads covered with oligo d(T), the cDNA was digested with Nla III and ligated to Illumina adapter containing a recognition site of Mme I . .. Following Mme I digestion, a second Illumina adapter was ligated.

Magnetic Beads:

Article Title: Genome-Wide Mapping of DNA Methylation in Chicken
Article Snippet: .. The mRNAs were isolated and reverse transcribed into double-stranded cDNA on magnetic beads covered with oligo d(T), the cDNA was digested with Nla III and ligated to Illumina adapter containing a recognition site of Mme I . .. Following Mme I digestion, a second Illumina adapter was ligated.

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  • 86
    Illumina Inc nla iii dge 13
    Higher reproducibility and better dynamics of differential expression detection using EXPRSS. (A-C) Pairwise scatter plots of gene counts from treatment replicates, expressed as tags per million in log10 scale. Correlations between four independent technical replicates of EXPRSS Tag-seq (A) , made from same RNA sample; four independent biological replicates of EXPRSS Tag-seq (B) and <t>Nla</t> <t>III-DGE</t> (C) are presented. Pearson correlation of log10 transformed tag counts per million plus 1 is depicted at left hand top corner of each comparison. Right hand bottom corner indicates replicate number depicted on X and Y-axis, respectively. (D-E) Example of differential expression using reads aligned (small black arrows) to WRKY22 , a flg22 responsive gene are presented from control (D) and treatment (E) .
    Nla Iii Dge 13, supplied by Illumina Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/nla iii dge 13/product/Illumina Inc
    Average 86 stars, based on 1 article reviews
    Price from $9.99 to $1999.99
    nla iii dge 13 - by Bioz Stars, 2020-05
    86/100 stars
      Buy from Supplier

    86
    Illumina Inc nla iii dge libraries
    Higher reproducibility and better dynamics of differential expression detection using EXPRSS. (A-C) Pairwise scatter plots of gene counts from treatment replicates, expressed as tags per million in log10 scale. Correlations between four independent technical replicates of EXPRSS Tag-seq (A) , made from same RNA sample; four independent biological replicates of EXPRSS Tag-seq (B) and <t>Nla</t> <t>III-DGE</t> (C) are presented. Pearson correlation of log10 transformed tag counts per million plus 1 is depicted at left hand top corner of each comparison. Right hand bottom corner indicates replicate number depicted on X and Y-axis, respectively. (D-E) Example of differential expression using reads aligned (small black arrows) to WRKY22 , a flg22 responsive gene are presented from control (D) and treatment (E) .
    Nla Iii Dge Libraries, supplied by Illumina Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/nla iii dge libraries/product/Illumina Inc
    Average 86 stars, based on 1 article reviews
    Price from $9.99 to $1999.99
    nla iii dge libraries - by Bioz Stars, 2020-05
    86/100 stars
      Buy from Supplier

    85
    Illumina Inc nla iii sample prep kit
    Higher reproducibility and better dynamics of differential expression detection using EXPRSS. (A-C) Pairwise scatter plots of gene counts from treatment replicates, expressed as tags per million in log10 scale. Correlations between four independent technical replicates of EXPRSS Tag-seq (A) , made from same RNA sample; four independent biological replicates of EXPRSS Tag-seq (B) and <t>Nla</t> <t>III-DGE</t> (C) are presented. Pearson correlation of log10 transformed tag counts per million plus 1 is depicted at left hand top corner of each comparison. Right hand bottom corner indicates replicate number depicted on X and Y-axis, respectively. (D-E) Example of differential expression using reads aligned (small black arrows) to WRKY22 , a flg22 responsive gene are presented from control (D) and treatment (E) .
    Nla Iii Sample Prep Kit, supplied by Illumina Inc, used in various techniques. Bioz Stars score: 85/100, based on 3 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/nla iii sample prep kit/product/Illumina Inc
    Average 85 stars, based on 3 article reviews
    Price from $9.99 to $1999.99
    nla iii sample prep kit - by Bioz Stars, 2020-05
    85/100 stars
      Buy from Supplier

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    Higher reproducibility and better dynamics of differential expression detection using EXPRSS. (A-C) Pairwise scatter plots of gene counts from treatment replicates, expressed as tags per million in log10 scale. Correlations between four independent technical replicates of EXPRSS Tag-seq (A) , made from same RNA sample; four independent biological replicates of EXPRSS Tag-seq (B) and Nla III-DGE (C) are presented. Pearson correlation of log10 transformed tag counts per million plus 1 is depicted at left hand top corner of each comparison. Right hand bottom corner indicates replicate number depicted on X and Y-axis, respectively. (D-E) Example of differential expression using reads aligned (small black arrows) to WRKY22 , a flg22 responsive gene are presented from control (D) and treatment (E) .

    Journal: BMC Genomics

    Article Title: EXPRSS: an Illumina based high-throughput expression-profiling method to reveal transcriptional dynamics

    doi: 10.1186/1471-2164-15-341

    Figure Lengend Snippet: Higher reproducibility and better dynamics of differential expression detection using EXPRSS. (A-C) Pairwise scatter plots of gene counts from treatment replicates, expressed as tags per million in log10 scale. Correlations between four independent technical replicates of EXPRSS Tag-seq (A) , made from same RNA sample; four independent biological replicates of EXPRSS Tag-seq (B) and Nla III-DGE (C) are presented. Pearson correlation of log10 transformed tag counts per million plus 1 is depicted at left hand top corner of each comparison. Right hand bottom corner indicates replicate number depicted on X and Y-axis, respectively. (D-E) Example of differential expression using reads aligned (small black arrows) to WRKY22 , a flg22 responsive gene are presented from control (D) and treatment (E) .

    Article Snippet: For Nla III-DGE ~13 million reads passing the Illumina quality filter were obtained of which ~10% were discarded as reads with “N”, below quality threshold, adapter only and shorter than 14 bp tag sequence.

    Techniques: Expressing, Transformation Assay

    Comparison of differential expression between EXPRSS, Nla III-DGE and Affymetrix ATH1 array. (A-B) Venn diagrams showing overlap of differential expression identified from the same RNA samples (EXPRSS and Nla III-DGE) and similar RNA sample (ATH1 microarray). Overlap of (A) sense transcripts (numbers in black - genes spotted on ATH1 array and numbers in red- genes not spotted on ATH1 array) (B) antisense transcripts identified by EXPRSS and Nla III-DGE. (C-D) Q-PCR confirmation of differential expression observed through EXPRSS. Three up-regulated genes (C) and five down-regulated genes (D) that are found differentially expressed with EXPRSS are verified with QPCR. Error bars indicate standard deviation from three biological replicates. FDR values are provided for EXPRSS log2 fold changes.

    Journal: BMC Genomics

    Article Title: EXPRSS: an Illumina based high-throughput expression-profiling method to reveal transcriptional dynamics

    doi: 10.1186/1471-2164-15-341

    Figure Lengend Snippet: Comparison of differential expression between EXPRSS, Nla III-DGE and Affymetrix ATH1 array. (A-B) Venn diagrams showing overlap of differential expression identified from the same RNA samples (EXPRSS and Nla III-DGE) and similar RNA sample (ATH1 microarray). Overlap of (A) sense transcripts (numbers in black - genes spotted on ATH1 array and numbers in red- genes not spotted on ATH1 array) (B) antisense transcripts identified by EXPRSS and Nla III-DGE. (C-D) Q-PCR confirmation of differential expression observed through EXPRSS. Three up-regulated genes (C) and five down-regulated genes (D) that are found differentially expressed with EXPRSS are verified with QPCR. Error bars indicate standard deviation from three biological replicates. FDR values are provided for EXPRSS log2 fold changes.

    Article Snippet: For Nla III-DGE ~13 million reads passing the Illumina quality filter were obtained of which ~10% were discarded as reads with “N”, below quality threshold, adapter only and shorter than 14 bp tag sequence.

    Techniques: Expressing, Microarray, Polymerase Chain Reaction, Real-time Polymerase Chain Reaction, Standard Deviation

    Sensitivity of EXPRSS in differential expression detection for specific responses to treatment. (A-C) Venn diagram representing overlap of differential expression for flg22 treatment from four different experiments (Microarray on seedling, leaf, leaf disc and EXPRSS on leaf disc) (A) Up-regulated genes between the four methods are compared. (B) Down-regulated genes between the four methods are compared. (C) Depiction of the overlap among the sections of Venn diagram. Number under each experiment represents number of genes differentially expressed. (Numbers in black - genes spotted on ATH1 array and numbers in red- genes not spotted on ATH1 array) (D-E) Scatter plots showing fold change distribution for commonly detected genes between two experiments. (D) Comparison of log2 fold changes between leaf and seedling microarray shows more restricted dynamics on negative scale (~ − 3) than positive scale (~ + 7). (E) Similar comparison of log2 fold changes between leaf disc data from EXPRSS and Nla III-DGE showing more even distribution (−6 to +7).

    Journal: BMC Genomics

    Article Title: EXPRSS: an Illumina based high-throughput expression-profiling method to reveal transcriptional dynamics

    doi: 10.1186/1471-2164-15-341

    Figure Lengend Snippet: Sensitivity of EXPRSS in differential expression detection for specific responses to treatment. (A-C) Venn diagram representing overlap of differential expression for flg22 treatment from four different experiments (Microarray on seedling, leaf, leaf disc and EXPRSS on leaf disc) (A) Up-regulated genes between the four methods are compared. (B) Down-regulated genes between the four methods are compared. (C) Depiction of the overlap among the sections of Venn diagram. Number under each experiment represents number of genes differentially expressed. (Numbers in black - genes spotted on ATH1 array and numbers in red- genes not spotted on ATH1 array) (D-E) Scatter plots showing fold change distribution for commonly detected genes between two experiments. (D) Comparison of log2 fold changes between leaf and seedling microarray shows more restricted dynamics on negative scale (~ − 3) than positive scale (~ + 7). (E) Similar comparison of log2 fold changes between leaf disc data from EXPRSS and Nla III-DGE showing more even distribution (−6 to +7).

    Article Snippet: For Nla III-DGE ~13 million reads passing the Illumina quality filter were obtained of which ~10% were discarded as reads with “N”, below quality threshold, adapter only and shorter than 14 bp tag sequence.

    Techniques: Expressing, Microarray

    Higher reproducibility and better dynamics of differential expression detection using EXPRSS. (A-C) Pairwise scatter plots of gene counts from treatment replicates, expressed as tags per million in log10 scale. Correlations between four independent technical replicates of EXPRSS Tag-seq (A) , made from same RNA sample; four independent biological replicates of EXPRSS Tag-seq (B) and Nla III-DGE (C) are presented. Pearson correlation of log10 transformed tag counts per million plus 1 is depicted at left hand top corner of each comparison. Right hand bottom corner indicates replicate number depicted on X and Y-axis, respectively. (D-E) Example of differential expression using reads aligned (small black arrows) to WRKY22 , a flg22 responsive gene are presented from control (D) and treatment (E) .

    Journal: BMC Genomics

    Article Title: EXPRSS: an Illumina based high-throughput expression-profiling method to reveal transcriptional dynamics

    doi: 10.1186/1471-2164-15-341

    Figure Lengend Snippet: Higher reproducibility and better dynamics of differential expression detection using EXPRSS. (A-C) Pairwise scatter plots of gene counts from treatment replicates, expressed as tags per million in log10 scale. Correlations between four independent technical replicates of EXPRSS Tag-seq (A) , made from same RNA sample; four independent biological replicates of EXPRSS Tag-seq (B) and Nla III-DGE (C) are presented. Pearson correlation of log10 transformed tag counts per million plus 1 is depicted at left hand top corner of each comparison. Right hand bottom corner indicates replicate number depicted on X and Y-axis, respectively. (D-E) Example of differential expression using reads aligned (small black arrows) to WRKY22 , a flg22 responsive gene are presented from control (D) and treatment (E) .

    Article Snippet: Both EXPRSS and Nla III-DGE libraries are sequenced on Illumina Genome Analyzer II.

    Techniques: Expressing, Transformation Assay

    Comparison of differential expression between EXPRSS, Nla III-DGE and Affymetrix ATH1 array. (A-B) Venn diagrams showing overlap of differential expression identified from the same RNA samples (EXPRSS and Nla III-DGE) and similar RNA sample (ATH1 microarray). Overlap of (A) sense transcripts (numbers in black - genes spotted on ATH1 array and numbers in red- genes not spotted on ATH1 array) (B) antisense transcripts identified by EXPRSS and Nla III-DGE. (C-D) Q-PCR confirmation of differential expression observed through EXPRSS. Three up-regulated genes (C) and five down-regulated genes (D) that are found differentially expressed with EXPRSS are verified with QPCR. Error bars indicate standard deviation from three biological replicates. FDR values are provided for EXPRSS log2 fold changes.

    Journal: BMC Genomics

    Article Title: EXPRSS: an Illumina based high-throughput expression-profiling method to reveal transcriptional dynamics

    doi: 10.1186/1471-2164-15-341

    Figure Lengend Snippet: Comparison of differential expression between EXPRSS, Nla III-DGE and Affymetrix ATH1 array. (A-B) Venn diagrams showing overlap of differential expression identified from the same RNA samples (EXPRSS and Nla III-DGE) and similar RNA sample (ATH1 microarray). Overlap of (A) sense transcripts (numbers in black - genes spotted on ATH1 array and numbers in red- genes not spotted on ATH1 array) (B) antisense transcripts identified by EXPRSS and Nla III-DGE. (C-D) Q-PCR confirmation of differential expression observed through EXPRSS. Three up-regulated genes (C) and five down-regulated genes (D) that are found differentially expressed with EXPRSS are verified with QPCR. Error bars indicate standard deviation from three biological replicates. FDR values are provided for EXPRSS log2 fold changes.

    Article Snippet: Both EXPRSS and Nla III-DGE libraries are sequenced on Illumina Genome Analyzer II.

    Techniques: Expressing, Microarray, Polymerase Chain Reaction, Real-time Polymerase Chain Reaction, Standard Deviation

    Sensitivity of EXPRSS in differential expression detection for specific responses to treatment. (A-C) Venn diagram representing overlap of differential expression for flg22 treatment from four different experiments (Microarray on seedling, leaf, leaf disc and EXPRSS on leaf disc) (A) Up-regulated genes between the four methods are compared. (B) Down-regulated genes between the four methods are compared. (C) Depiction of the overlap among the sections of Venn diagram. Number under each experiment represents number of genes differentially expressed. (Numbers in black - genes spotted on ATH1 array and numbers in red- genes not spotted on ATH1 array) (D-E) Scatter plots showing fold change distribution for commonly detected genes between two experiments. (D) Comparison of log2 fold changes between leaf and seedling microarray shows more restricted dynamics on negative scale (~ − 3) than positive scale (~ + 7). (E) Similar comparison of log2 fold changes between leaf disc data from EXPRSS and Nla III-DGE showing more even distribution (−6 to +7).

    Journal: BMC Genomics

    Article Title: EXPRSS: an Illumina based high-throughput expression-profiling method to reveal transcriptional dynamics

    doi: 10.1186/1471-2164-15-341

    Figure Lengend Snippet: Sensitivity of EXPRSS in differential expression detection for specific responses to treatment. (A-C) Venn diagram representing overlap of differential expression for flg22 treatment from four different experiments (Microarray on seedling, leaf, leaf disc and EXPRSS on leaf disc) (A) Up-regulated genes between the four methods are compared. (B) Down-regulated genes between the four methods are compared. (C) Depiction of the overlap among the sections of Venn diagram. Number under each experiment represents number of genes differentially expressed. (Numbers in black - genes spotted on ATH1 array and numbers in red- genes not spotted on ATH1 array) (D-E) Scatter plots showing fold change distribution for commonly detected genes between two experiments. (D) Comparison of log2 fold changes between leaf and seedling microarray shows more restricted dynamics on negative scale (~ − 3) than positive scale (~ + 7). (E) Similar comparison of log2 fold changes between leaf disc data from EXPRSS and Nla III-DGE showing more even distribution (−6 to +7).

    Article Snippet: Both EXPRSS and Nla III-DGE libraries are sequenced on Illumina Genome Analyzer II.

    Techniques: Expressing, Microarray