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smart-seq2 library sequencing  (Novogene)

 
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    Novogene smart-seq2 library sequencing
    Smart Seq2 Library Sequencing, supplied by Novogene, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/smart-seq2+libraries/low+input+smart+seq2+protocol/pm38889293-401-1-8
    Average 90 stars, based on 1 article reviews
    smart-seq2 library sequencing - by Bioz Stars, 2026-10
    90/100 stars

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    Related Articles

    Sequencing:

    Article Title: CRISPR/dCas9 DNA methylation editing is heritable during human hematopoiesis and shapes immune progeny
    Article Snippet: Monocytes and granulocytes harvested from mouse bone marrow were prepared for RNA-seq using a low input Smart-seq2 protocol (library preparation and sequencing by Novogene).

    Article Title: Combination of long-read and short-read sequencing provides comprehensive transcriptome and new insight for Chrysanthemum morifolium ray-floret colorization.
    Article Snippet: Library preparation, sequencing of stranded RNA-seq (2 × 150 bp paired-end), and raw data filtering were performed at Novogene.

    Article Title: CWF19L2 is Essential for Male Fertility and Spermatogenesis by Regulating Alternative Splicing.
    Article Snippet: The Smart-seq2 library sequencing was carried out by Novogene on the Illumina platforms with 150 bp paired-end reads.

    Article Title: CRISPR/dCas9 DNA methylation editing is heritable during human hematopoiesis and shapes immune progeny.
    Article Snippet: Monocytes and granulocytes harvested from mouse bone marrow were prepared for RNA- seq using a low input Smart- seq2 protocol (library preparation and sequencing by Novogene).

    RNA Sequencing:

    Article Title: CRISPR/dCas9 DNA methylation editing is heritable during human hematopoiesis and shapes immune progeny
    Article Snippet: Monocytes and granulocytes harvested from mouse bone marrow were prepared for RNA-seq using a low input Smart-seq2 protocol (library preparation and sequencing by Novogene).

    Article Title: Combination of long-read and short-read sequencing provides comprehensive transcriptome and new insight for Chrysanthemum morifolium ray-floret colorization.
    Article Snippet: Library preparation, sequencing of stranded RNA-seq (2 × 150 bp paired-end), and raw data filtering were performed at Novogene.

    Article Title: CWF19L2 is Essential for Male Fertility and Spermatogenesis by Regulating Alternative Splicing.
    Article Snippet: The Smart-seq2 library sequencing was carried out by Novogene on the Illumina platforms with 150 bp paired-end reads.

    Article Title: CRISPR/dCas9 DNA methylation editing is heritable during human hematopoiesis and shapes immune progeny.
    Article Snippet: Monocytes and granulocytes harvested from mouse bone marrow were prepared for RNA- seq using a low input Smart- seq2 protocol (library preparation and sequencing by Novogene).



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    Increased chromatin accessibility in knockout round spermatids. A).Volcano plot of DEGs between control and Eif5a SKO samples.FDR<0.05. B.The average tag density plot(top pannel) and heatmaps (bottom pannel)around TSS (±3 kb) for the enrichment of ATAC‐seq reads in control and Eif5a SKO round spermatids. C).Plot shows Gain and Loss sites in all control and Eif5a SKO sample replicates. D).Venn diagram showing the overlap of differential peaks identified by CUT&Tag and ATAC‐seq between WT and CKO groups. E).Four‐quadrant scatter plot comparing the log 2 fold changes of significantly differential peaks (FDR < 0.05) from H3K4me3 CUT&Tag (x‐axis) and ATAC‐seq (y‐axis). The Pearson correlation coefficient for the compared data is 0.468. Pearson's *r* = 0.468. F) Venn diagram show shared genes between ATAC‐seq (FDR<0.05) <t>and</t> <t>Smart‐seq2</t> (FDR<0.05, FC>1.5).
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    Increased chromatin accessibility in knockout round spermatids. A).Volcano plot of DEGs between control and Eif5a SKO samples.FDR<0.05. B.The average tag density plot(top pannel) and heatmaps (bottom pannel)around TSS (±3 kb) for the enrichment of ATAC‐seq reads in control and Eif5a SKO round spermatids. C).Plot shows Gain and Loss sites in all control and Eif5a SKO sample replicates. D).Venn diagram showing the overlap of differential peaks identified by CUT&Tag and ATAC‐seq between WT and CKO groups. E).Four‐quadrant scatter plot comparing the log 2 fold changes of significantly differential peaks (FDR < 0.05) from H3K4me3 CUT&Tag (x‐axis) and ATAC‐seq (y‐axis). The Pearson correlation coefficient for the compared data is 0.468. Pearson's *r* = 0.468. F) Venn diagram show shared genes between ATAC‐seq (FDR<0.05) <t>and</t> <t>Smart‐seq2</t> (FDR<0.05, FC>1.5).
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    Increased chromatin accessibility in knockout round spermatids. A).Volcano plot of DEGs between control and Eif5a SKO samples.FDR<0.05. B.The average tag density plot(top pannel) and heatmaps (bottom pannel)around TSS (±3 kb) for the enrichment of ATAC‐seq reads in control and Eif5a SKO round spermatids. C).Plot shows Gain and Loss sites in all control and Eif5a SKO sample replicates. D).Venn diagram showing the overlap of differential peaks identified by CUT&Tag and ATAC‐seq between WT and CKO groups. E).Four‐quadrant scatter plot comparing the log 2 fold changes of significantly differential peaks (FDR < 0.05) from H3K4me3 CUT&Tag (x‐axis) and ATAC‐seq (y‐axis). The Pearson correlation coefficient for the compared data is 0.468. Pearson's *r* = 0.468. F) Venn diagram show shared genes between ATAC‐seq (FDR<0.05) <t>and</t> <t>Smart‐seq2</t> (FDR<0.05, FC>1.5).
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    Increased chromatin accessibility in knockout round spermatids. A).Volcano plot of DEGs between control and Eif5a SKO samples.FDR<0.05. B.The average tag density plot(top pannel) and heatmaps (bottom pannel)around TSS (±3 kb) for the enrichment of ATAC‐seq reads in control and Eif5a SKO round spermatids. C).Plot shows Gain and Loss sites in all control and Eif5a SKO sample replicates. D).Venn diagram showing the overlap of differential peaks identified by CUT&Tag and ATAC‐seq between WT and CKO groups. E).Four‐quadrant scatter plot comparing the log 2 fold changes of significantly differential peaks (FDR < 0.05) from H3K4me3 CUT&Tag (x‐axis) and ATAC‐seq (y‐axis). The Pearson correlation coefficient for the compared data is 0.468. Pearson's *r* = 0.468. F) Venn diagram show shared genes between ATAC‐seq (FDR<0.05) <t>and</t> <t>Smart‐seq2</t> (FDR<0.05, FC>1.5).
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    Increased chromatin accessibility in knockout round spermatids. A).Volcano plot of DEGs between control and Eif5a SKO samples.FDR<0.05. B.The average tag density plot(top pannel) and heatmaps (bottom pannel)around TSS (±3 kb) for the enrichment of ATAC‐seq reads in control and Eif5a SKO round spermatids. C).Plot shows Gain and Loss sites in all control and Eif5a SKO sample replicates. D).Venn diagram showing the overlap of differential peaks identified by CUT&Tag and ATAC‐seq between WT and CKO groups. E).Four‐quadrant scatter plot comparing the log 2 fold changes of significantly differential peaks (FDR < 0.05) from H3K4me3 CUT&Tag (x‐axis) and ATAC‐seq (y‐axis). The Pearson correlation coefficient for the compared data is 0.468. Pearson's *r* = 0.468. F) Venn diagram show shared genes between ATAC‐seq (FDR<0.05) <t>and</t> <t>Smart‐seq2</t> (FDR<0.05, FC>1.5).
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    Increased chromatin accessibility in knockout round spermatids. A).Volcano plot of DEGs between control and Eif5a SKO samples.FDR<0.05. B.The average tag density plot(top pannel) and heatmaps (bottom pannel)around TSS (±3 kb) for the enrichment of ATAC‐seq reads in control and Eif5a SKO round spermatids. C).Plot shows Gain and Loss sites in all control and Eif5a SKO sample replicates. D).Venn diagram showing the overlap of differential peaks identified by CUT&Tag and ATAC‐seq between WT and CKO groups. E).Four‐quadrant scatter plot comparing the log 2 fold changes of significantly differential peaks (FDR < 0.05) from H3K4me3 CUT&Tag (x‐axis) and ATAC‐seq (y‐axis). The Pearson correlation coefficient for the compared data is 0.468. Pearson's *r* = 0.468. F) Venn diagram show shared genes between ATAC‐seq (FDR<0.05) <t>and</t> <t>Smart‐seq2</t> (FDR<0.05, FC>1.5).
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    Increased chromatin accessibility in knockout round spermatids. A).Volcano plot of DEGs between control and Eif5a SKO samples.FDR<0.05. B.The average tag density plot(top pannel) and heatmaps (bottom pannel)around TSS (±3 kb) for the enrichment of ATAC‐seq reads in control and Eif5a SKO round spermatids. C).Plot shows Gain and Loss sites in all control and Eif5a SKO sample replicates. D).Venn diagram showing the overlap of differential peaks identified by CUT&Tag and ATAC‐seq between WT and CKO groups. E).Four‐quadrant scatter plot comparing the log 2 fold changes of significantly differential peaks (FDR < 0.05) from H3K4me3 CUT&Tag (x‐axis) and ATAC‐seq (y‐axis). The Pearson correlation coefficient for the compared data is 0.468. Pearson's *r* = 0.468. F) Venn diagram show shared genes between ATAC‐seq (FDR<0.05) <t>and</t> <t>Smart‐seq2</t> (FDR<0.05, FC>1.5).
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    Increased chromatin accessibility in knockout round spermatids. A).Volcano plot of DEGs between control and Eif5a SKO samples.FDR<0.05. B.The average tag density plot(top pannel) and heatmaps (bottom pannel)around TSS (±3 kb) for the enrichment of ATAC‐seq reads in control and Eif5a SKO round spermatids. C).Plot shows Gain and Loss sites in all control and Eif5a SKO sample replicates. D).Venn diagram showing the overlap of differential peaks identified by CUT&Tag and ATAC‐seq between WT and CKO groups. E).Four‐quadrant scatter plot comparing the log 2 fold changes of significantly differential peaks (FDR < 0.05) from H3K4me3 CUT&Tag (x‐axis) and ATAC‐seq (y‐axis). The Pearson correlation coefficient for the compared data is 0.468. Pearson's *r* = 0.468. F) Venn diagram show shared genes between ATAC‐seq (FDR<0.05) <t>and</t> <t>Smart‐seq2</t> (FDR<0.05, FC>1.5).
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    smart-seq2 libraries  (Broad Technology Labs)
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    Increased chromatin accessibility in knockout round spermatids. A).Volcano plot of DEGs between control and Eif5a SKO samples.FDR<0.05. B.The average tag density plot(top pannel) and heatmaps (bottom pannel)around TSS (±3 kb) for the enrichment of ATAC‐seq reads in control and Eif5a SKO round spermatids. C).Plot shows Gain and Loss sites in all control and Eif5a SKO sample replicates. D).Venn diagram showing the overlap of differential peaks identified by CUT&Tag and ATAC‐seq between WT and CKO groups. E).Four‐quadrant scatter plot comparing the log 2 fold changes of significantly differential peaks (FDR < 0.05) from H3K4me3 CUT&Tag (x‐axis) and ATAC‐seq (y‐axis). The Pearson correlation coefficient for the compared data is 0.468. Pearson's *r* = 0.468. F) Venn diagram show shared genes between ATAC‐seq (FDR<0.05) <t>and</t> <t>Smart‐seq2</t> (FDR<0.05, FC>1.5).
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    Image Search Results


    Increased chromatin accessibility in knockout round spermatids. A).Volcano plot of DEGs between control and Eif5a SKO samples.FDR<0.05. B.The average tag density plot(top pannel) and heatmaps (bottom pannel)around TSS (±3 kb) for the enrichment of ATAC‐seq reads in control and Eif5a SKO round spermatids. C).Plot shows Gain and Loss sites in all control and Eif5a SKO sample replicates. D).Venn diagram showing the overlap of differential peaks identified by CUT&Tag and ATAC‐seq between WT and CKO groups. E).Four‐quadrant scatter plot comparing the log 2 fold changes of significantly differential peaks (FDR < 0.05) from H3K4me3 CUT&Tag (x‐axis) and ATAC‐seq (y‐axis). The Pearson correlation coefficient for the compared data is 0.468. Pearson's *r* = 0.468. F) Venn diagram show shared genes between ATAC‐seq (FDR<0.05) and Smart‐seq2 (FDR<0.05, FC>1.5).

    Journal: Advanced Science

    Article Title: EIF5A Couples Translational Control With Transcriptional Reprogramming Through Chromocenter Reorganization During Spermiogenesis

    doi: 10.1002/advs.202517423

    Figure Lengend Snippet: Increased chromatin accessibility in knockout round spermatids. A).Volcano plot of DEGs between control and Eif5a SKO samples.FDR<0.05. B.The average tag density plot(top pannel) and heatmaps (bottom pannel)around TSS (±3 kb) for the enrichment of ATAC‐seq reads in control and Eif5a SKO round spermatids. C).Plot shows Gain and Loss sites in all control and Eif5a SKO sample replicates. D).Venn diagram showing the overlap of differential peaks identified by CUT&Tag and ATAC‐seq between WT and CKO groups. E).Four‐quadrant scatter plot comparing the log 2 fold changes of significantly differential peaks (FDR < 0.05) from H3K4me3 CUT&Tag (x‐axis) and ATAC‐seq (y‐axis). The Pearson correlation coefficient for the compared data is 0.468. Pearson's *r* = 0.468. F) Venn diagram show shared genes between ATAC‐seq (FDR<0.05) and Smart‐seq2 (FDR<0.05, FC>1.5).

    Article Snippet: The Smart‐seq2 library sequencing was performed by Novogene on Illumina platforms, generating 150 bp paired‐end reads.

    Techniques: Knock-Out, Control

    Proteomic alterations associated with transcriptional changes induced by Eif5a deletion. A).Venn diagram of shared genes between Smart‐seq2 (P value<0.05, FC>1.5) and Proteomics (P<0.05, FC>1.5) analyses. B).GO enrichment analysis based on the 119 commonly upregulated genes. C).QRT‐PCR analysis of candidate genes that were consistently dysregulated in both the transcriptome and proteome of Eif5a SKO testes. Data are presented as mean ± SD from three independent biological replicates (n = 3). Statistical significance was determined using a two‐tailed, unpaired Student's t‐test (*P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001). D). Western blots show SPATA1, SPACA3 and SPACA9 proteins in Eif5a SKO and control mice. β‐Actin served as the loading control. E). IGV visualization of genomic regions harboring acrosome‐related ( Spaca3, Ly6K,Spaca9,Spata1,Lamp2 ) and microtubule‐associated ( Ccdc169, Dynlt3 ) genes. Top: ATAC‐seq tracks showing chromatin accessibility in control (blue) versus SKO (red) round spermatids. Bottom: Corresponding Smart‐seq2 coverage.

    Journal: Advanced Science

    Article Title: EIF5A Couples Translational Control With Transcriptional Reprogramming Through Chromocenter Reorganization During Spermiogenesis

    doi: 10.1002/advs.202517423

    Figure Lengend Snippet: Proteomic alterations associated with transcriptional changes induced by Eif5a deletion. A).Venn diagram of shared genes between Smart‐seq2 (P value<0.05, FC>1.5) and Proteomics (P<0.05, FC>1.5) analyses. B).GO enrichment analysis based on the 119 commonly upregulated genes. C).QRT‐PCR analysis of candidate genes that were consistently dysregulated in both the transcriptome and proteome of Eif5a SKO testes. Data are presented as mean ± SD from three independent biological replicates (n = 3). Statistical significance was determined using a two‐tailed, unpaired Student's t‐test (*P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001). D). Western blots show SPATA1, SPACA3 and SPACA9 proteins in Eif5a SKO and control mice. β‐Actin served as the loading control. E). IGV visualization of genomic regions harboring acrosome‐related ( Spaca3, Ly6K,Spaca9,Spata1,Lamp2 ) and microtubule‐associated ( Ccdc169, Dynlt3 ) genes. Top: ATAC‐seq tracks showing chromatin accessibility in control (blue) versus SKO (red) round spermatids. Bottom: Corresponding Smart‐seq2 coverage.

    Article Snippet: The Smart‐seq2 library sequencing was performed by Novogene on Illumina platforms, generating 150 bp paired‐end reads.

    Techniques: Quantitative RT-PCR, Two Tailed Test, Western Blot, Control