Review



single nucleus rna seq snrna seq data  (Human Protein Atlas)

 
  • Logo
  • About
  • News
  • Press Release
  • Team
  • Advisors
  • Partners
  • Contact
  • Bioz Stars
  • Bioz vStars
    • 86
      Buy from Supplier

    Structured Review

    Human Protein Atlas single nucleus rna seq snrna seq data
    An end-to-end bioinformatics pipeline identifying causal m 6 A targets in depression. (A) The integrated workflow illustrating two distinct analytical phases: transitioning from descriptive functional convergence (using MeRIP-seq datasets: Study 2, 3, and 5) to causal SMR inference (using MDD GWAS summary statistics from the PGC and brain m 6 A-QTL datasets). (B) Number of enriched GO terms in the mouse studies. (C) Venn diagram showing the convergence of functional themes on “cognition”. (D) The seven specifically screened cognition-associated genes with differential m 6 A peaks. (E) Example IGV plot for the Cacna1e gene (see – for the full set of identified genes), showing differential m 6 A peaks from two of the analyzed studies. Where the regions with visible logFC value corresponds to the significantly DMPs. The log2 fold-change (logFC) values represent the ratio of m 6 A enrichment levels between depression models and their corresponding controls. (F) SMR locus plot, illustrating the causal mediation of MDD genetic risk through brain-specific m 6 A-QTLs at the ADARB1 locus. <t>(G)</t> <t>snRNA-seq</t> validation from the HPA, demonstrating that the prioritized causal target ( ADARB1 ) is highly specific to excitatory and inhibitory neuronal lineages, supporting a “Brain-First” functional etiology.
    Single Nucleus Rna Seq Snrna Seq Data, supplied by Human Protein Atlas, 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/product/single+nucleus+rna+seq+snrna+seq+data/data+rna+seq/pmc13200537-259-24-30
    Average 86 stars, based on 1 article reviews
    single nucleus rna seq snrna seq data - by Bioz Stars, 2026-09
    86/100 stars

    Images

    1) Product Images from "Decoding causal m 6 A: a bioinformatics roadmap for psychiatric disorders"

    Article Title: Decoding causal m 6 A: a bioinformatics roadmap for psychiatric disorders

    Journal: Briefings in Bioinformatics

    doi: 10.1093/bib/bbag251

    An end-to-end bioinformatics pipeline identifying causal m 6 A targets in depression. (A) The integrated workflow illustrating two distinct analytical phases: transitioning from descriptive functional convergence (using MeRIP-seq datasets: Study 2, 3, and 5) to causal SMR inference (using MDD GWAS summary statistics from the PGC and brain m 6 A-QTL datasets). (B) Number of enriched GO terms in the mouse studies. (C) Venn diagram showing the convergence of functional themes on “cognition”. (D) The seven specifically screened cognition-associated genes with differential m 6 A peaks. (E) Example IGV plot for the Cacna1e gene (see – for the full set of identified genes), showing differential m 6 A peaks from two of the analyzed studies. Where the regions with visible logFC value corresponds to the significantly DMPs. The log2 fold-change (logFC) values represent the ratio of m 6 A enrichment levels between depression models and their corresponding controls. (F) SMR locus plot, illustrating the causal mediation of MDD genetic risk through brain-specific m 6 A-QTLs at the ADARB1 locus. (G) snRNA-seq validation from the HPA, demonstrating that the prioritized causal target ( ADARB1 ) is highly specific to excitatory and inhibitory neuronal lineages, supporting a “Brain-First” functional etiology.
    Figure Legend Snippet: An end-to-end bioinformatics pipeline identifying causal m 6 A targets in depression. (A) The integrated workflow illustrating two distinct analytical phases: transitioning from descriptive functional convergence (using MeRIP-seq datasets: Study 2, 3, and 5) to causal SMR inference (using MDD GWAS summary statistics from the PGC and brain m 6 A-QTL datasets). (B) Number of enriched GO terms in the mouse studies. (C) Venn diagram showing the convergence of functional themes on “cognition”. (D) The seven specifically screened cognition-associated genes with differential m 6 A peaks. (E) Example IGV plot for the Cacna1e gene (see – for the full set of identified genes), showing differential m 6 A peaks from two of the analyzed studies. Where the regions with visible logFC value corresponds to the significantly DMPs. The log2 fold-change (logFC) values represent the ratio of m 6 A enrichment levels between depression models and their corresponding controls. (F) SMR locus plot, illustrating the causal mediation of MDD genetic risk through brain-specific m 6 A-QTLs at the ADARB1 locus. (G) snRNA-seq validation from the HPA, demonstrating that the prioritized causal target ( ADARB1 ) is highly specific to excitatory and inhibitory neuronal lineages, supporting a “Brain-First” functional etiology.

    Techniques Used: Functional Assay, Biomarker Discovery



    Similar Products

    single nucleus rna seq snrna seq data  (Human Protein Atlas)
    86
    Human Protein Atlas single nucleus rna seq snrna seq data
    An end-to-end bioinformatics pipeline identifying causal m 6 A targets in depression. (A) The integrated workflow illustrating two distinct analytical phases: transitioning from descriptive functional convergence (using MeRIP-seq datasets: Study 2, 3, and 5) to causal SMR inference (using MDD GWAS summary statistics from the PGC and brain m 6 A-QTL datasets). (B) Number of enriched GO terms in the mouse studies. (C) Venn diagram showing the convergence of functional themes on “cognition”. (D) The seven specifically screened cognition-associated genes with differential m 6 A peaks. (E) Example IGV plot for the Cacna1e gene (see – for the full set of identified genes), showing differential m 6 A peaks from two of the analyzed studies. Where the regions with visible logFC value corresponds to the significantly DMPs. The log2 fold-change (logFC) values represent the ratio of m 6 A enrichment levels between depression models and their corresponding controls. (F) SMR locus plot, illustrating the causal mediation of MDD genetic risk through brain-specific m 6 A-QTLs at the ADARB1 locus. <t>(G)</t> <t>snRNA-seq</t> validation from the HPA, demonstrating that the prioritized causal target ( ADARB1 ) is highly specific to excitatory and inhibitory neuronal lineages, supporting a “Brain-First” functional etiology.
    Single Nucleus Rna Seq Snrna Seq Data, supplied by Human Protein Atlas, 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/product/single+nucleus+rna+seq+snrna+seq+data/data+rna+seq/pmc13200537-259-24-30
    Average 86 stars, based on 1 article reviews
    single nucleus rna seq snrna seq data - by Bioz Stars, 2026-09
    86/100 stars
    		  Buy from Supplier
    single nucleus rna seq snrna seq data  (10X Genomics)
    86
    10X Genomics single nucleus rna seq snrna seq data
    An end-to-end bioinformatics pipeline identifying causal m 6 A targets in depression. (A) The integrated workflow illustrating two distinct analytical phases: transitioning from descriptive functional convergence (using MeRIP-seq datasets: Study 2, 3, and 5) to causal SMR inference (using MDD GWAS summary statistics from the PGC and brain m 6 A-QTL datasets). (B) Number of enriched GO terms in the mouse studies. (C) Venn diagram showing the convergence of functional themes on “cognition”. (D) The seven specifically screened cognition-associated genes with differential m 6 A peaks. (E) Example IGV plot for the Cacna1e gene (see – for the full set of identified genes), showing differential m 6 A peaks from two of the analyzed studies. Where the regions with visible logFC value corresponds to the significantly DMPs. The log2 fold-change (logFC) values represent the ratio of m 6 A enrichment levels between depression models and their corresponding controls. (F) SMR locus plot, illustrating the causal mediation of MDD genetic risk through brain-specific m 6 A-QTLs at the ADARB1 locus. <t>(G)</t> <t>snRNA-seq</t> validation from the HPA, demonstrating that the prioritized causal target ( ADARB1 ) is highly specific to excitatory and inhibitory neuronal lineages, supporting a “Brain-First” functional etiology.
    Single Nucleus Rna Seq Snrna Seq Data, supplied by 10X Genomics, 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/product/single+nucleus+rna+seq+snrna+seq+data/nucleus+rna+sequencing+single/pmc10290360-62-26-40
    Average 86 stars, based on 1 article reviews
    single nucleus rna seq snrna seq data - by Bioz Stars, 2026-09
    86/100 stars
    		  Buy from Supplier

    Image Search Results


    An end-to-end bioinformatics pipeline identifying causal m 6 A targets in depression. (A) The integrated workflow illustrating two distinct analytical phases: transitioning from descriptive functional convergence (using MeRIP-seq datasets: Study 2, 3, and 5) to causal SMR inference (using MDD GWAS summary statistics from the PGC and brain m 6 A-QTL datasets). (B) Number of enriched GO terms in the mouse studies. (C) Venn diagram showing the convergence of functional themes on “cognition”. (D) The seven specifically screened cognition-associated genes with differential m 6 A peaks. (E) Example IGV plot for the Cacna1e gene (see – for the full set of identified genes), showing differential m 6 A peaks from two of the analyzed studies. Where the regions with visible logFC value corresponds to the significantly DMPs. The log2 fold-change (logFC) values represent the ratio of m 6 A enrichment levels between depression models and their corresponding controls. (F) SMR locus plot, illustrating the causal mediation of MDD genetic risk through brain-specific m 6 A-QTLs at the ADARB1 locus. (G) snRNA-seq validation from the HPA, demonstrating that the prioritized causal target ( ADARB1 ) is highly specific to excitatory and inhibitory neuronal lineages, supporting a “Brain-First” functional etiology.

    Journal: Briefings in Bioinformatics

    Article Title: Decoding causal m 6 A: a bioinformatics roadmap for psychiatric disorders

    doi: 10.1093/bib/bbag251

    Figure Lengend Snippet: An end-to-end bioinformatics pipeline identifying causal m 6 A targets in depression. (A) The integrated workflow illustrating two distinct analytical phases: transitioning from descriptive functional convergence (using MeRIP-seq datasets: Study 2, 3, and 5) to causal SMR inference (using MDD GWAS summary statistics from the PGC and brain m 6 A-QTL datasets). (B) Number of enriched GO terms in the mouse studies. (C) Venn diagram showing the convergence of functional themes on “cognition”. (D) The seven specifically screened cognition-associated genes with differential m 6 A peaks. (E) Example IGV plot for the Cacna1e gene (see – for the full set of identified genes), showing differential m 6 A peaks from two of the analyzed studies. Where the regions with visible logFC value corresponds to the significantly DMPs. The log2 fold-change (logFC) values represent the ratio of m 6 A enrichment levels between depression models and their corresponding controls. (F) SMR locus plot, illustrating the causal mediation of MDD genetic risk through brain-specific m 6 A-QTLs at the ADARB1 locus. (G) snRNA-seq validation from the HPA, demonstrating that the prioritized causal target ( ADARB1 ) is highly specific to excitatory and inhibitory neuronal lineages, supporting a “Brain-First” functional etiology.

    Article Snippet: To demonstrate Phase 3 of our roadmap and adhere to a cell-type specific annotation strategy, we validated our top causal target, ADARB1 , using single-nucleus RNA-seq (snRNA-seq) data from the Human Protein Atlas (HPA) (database access links are provided in Supplementary Methods).

    Techniques: Functional Assay, Biomarker Discovery