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smart seq2 library sequencing - by Bioz Stars,
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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+library+sequencing/pm38889293-401-1-8?v=Novogene Average 90 stars, based on 1 article reviews
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Broad Institute Inc
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Muris Inc
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Illumina Inc
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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
Techniques: Knock-Out, Control
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
Techniques: Quantitative RT-PCR, Two Tailed Test, Western Blot, Control