mapping procedure Search Results


spectral density function mapping  (Biomol GmbH)
90
Biomol GmbH spectral density function mapping
Spectral Density Function Mapping, supplied by Biomol GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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remodiscovery  (Lemmens Inc)
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Lemmens Inc remodiscovery
Remodiscovery, supplied by Lemmens Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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patterson map search procedures  (DeLano Scientific)
90
DeLano Scientific patterson map search procedures
Patterson Map Search Procedures, supplied by DeLano Scientific, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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qtl mapping procedures implemented in genstat v14  (vsn international)
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vsn international qtl mapping procedures implemented in genstat v14
Qtl Mapping Procedures Implemented In Genstat V14, supplied by vsn international, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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eqtl mapping procedures  (Metabrain Research)
90
Metabrain Research eqtl mapping procedures
(A) Spearman correlations between the 5 predicted cell count proportions. Lower triangle is within cortex samples, upper triangle is within cerebellum samples. (B) Predicted cell type proportions (x-axis) compared to cell type proportions measured using immunohistochemistry (IHC; y-axis) for 42 ROSMAP samples. Values in the plot are Pearson correlation coefficients. Cell count predictions for most cell types closely approximates actual IHC cell counts, although neurons are underestimated. (C) Number of cell type interacting eQTLs for Cortex-EUR deconvoluted cell types. The majority of interactions are with neurons and oligodendrocytes. Notably, most interactions are unique for one cell type in 90% of the cases. ( D, E, F ) Replication of cell type interacting eQTLs for STMN4 ( D ), FAM221A ( E ) and SLC25A27 ( F ), consisting of the scatterplot of the interaction <t>eQTL</t> <t>in</t> <t>MetaBrain</t> Cortex-EUR bulk RNA-seq (left) and a forest plot for the eQTL effect in the ROSMAP snRNA-seq data (right). Scatterplot: the x-axis shows the estimated cell type proportion, the y-axis shows the gene expression, each dot represents a sample. Colors indicate SNP genotype, with yellow being the minor allele. Values under the alleles are Spearman correlation coefficients. Forest plot: Spearman coefficients with effect direction relative to the minor allele when replicating the eQTL effect in ROSMAP single nucleus data (n=38). Error bars indicate 95% confidence interval. Each row denotes a cell type specific dataset: excitatory neurons (EX), oligodendrocytes (OLI), inhibitory neurons (IN), astrocytes (AST), oligodendrocyte precursor cells (OPC), microglia (MIC), pericytes (PER) and endothelial cells (END). Cell types highlighted in bold reflect the equivalent to the cell type used in the interaction eQTL.
Eqtl Mapping Procedures, supplied by Metabrain Research, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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one-qtlmulti-trait interval mapping (mim) procedure  (MultiQTL Inc)
90
MultiQTL Inc one-qtlmulti-trait interval mapping (mim) procedure
(A) Spearman correlations between the 5 predicted cell count proportions. Lower triangle is within cortex samples, upper triangle is within cerebellum samples. (B) Predicted cell type proportions (x-axis) compared to cell type proportions measured using immunohistochemistry (IHC; y-axis) for 42 ROSMAP samples. Values in the plot are Pearson correlation coefficients. Cell count predictions for most cell types closely approximates actual IHC cell counts, although neurons are underestimated. (C) Number of cell type interacting eQTLs for Cortex-EUR deconvoluted cell types. The majority of interactions are with neurons and oligodendrocytes. Notably, most interactions are unique for one cell type in 90% of the cases. ( D, E, F ) Replication of cell type interacting eQTLs for STMN4 ( D ), FAM221A ( E ) and SLC25A27 ( F ), consisting of the scatterplot of the interaction <t>eQTL</t> <t>in</t> <t>MetaBrain</t> Cortex-EUR bulk RNA-seq (left) and a forest plot for the eQTL effect in the ROSMAP snRNA-seq data (right). Scatterplot: the x-axis shows the estimated cell type proportion, the y-axis shows the gene expression, each dot represents a sample. Colors indicate SNP genotype, with yellow being the minor allele. Values under the alleles are Spearman correlation coefficients. Forest plot: Spearman coefficients with effect direction relative to the minor allele when replicating the eQTL effect in ROSMAP single nucleus data (n=38). Error bars indicate 95% confidence interval. Each row denotes a cell type specific dataset: excitatory neurons (EX), oligodendrocytes (OLI), inhibitory neurons (IN), astrocytes (AST), oligodendrocyte precursor cells (OPC), microglia (MIC), pericytes (PER) and endothelial cells (END). Cell types highlighted in bold reflect the equivalent to the cell type used in the interaction eQTL.
One Qtlmulti Trait Interval Mapping (Mim) Procedure, supplied by MultiQTL Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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one-qtl single-trait interval mapping procedure  (MultiQTL Inc)
90
MultiQTL Inc one-qtl single-trait interval mapping procedure
(A) Spearman correlations between the 5 predicted cell count proportions. Lower triangle is within cortex samples, upper triangle is within cerebellum samples. (B) Predicted cell type proportions (x-axis) compared to cell type proportions measured using immunohistochemistry (IHC; y-axis) for 42 ROSMAP samples. Values in the plot are Pearson correlation coefficients. Cell count predictions for most cell types closely approximates actual IHC cell counts, although neurons are underestimated. (C) Number of cell type interacting eQTLs for Cortex-EUR deconvoluted cell types. The majority of interactions are with neurons and oligodendrocytes. Notably, most interactions are unique for one cell type in 90% of the cases. ( D, E, F ) Replication of cell type interacting eQTLs for STMN4 ( D ), FAM221A ( E ) and SLC25A27 ( F ), consisting of the scatterplot of the interaction <t>eQTL</t> <t>in</t> <t>MetaBrain</t> Cortex-EUR bulk RNA-seq (left) and a forest plot for the eQTL effect in the ROSMAP snRNA-seq data (right). Scatterplot: the x-axis shows the estimated cell type proportion, the y-axis shows the gene expression, each dot represents a sample. Colors indicate SNP genotype, with yellow being the minor allele. Values under the alleles are Spearman correlation coefficients. Forest plot: Spearman coefficients with effect direction relative to the minor allele when replicating the eQTL effect in ROSMAP single nucleus data (n=38). Error bars indicate 95% confidence interval. Each row denotes a cell type specific dataset: excitatory neurons (EX), oligodendrocytes (OLI), inhibitory neurons (IN), astrocytes (AST), oligodendrocyte precursor cells (OPC), microglia (MIC), pericytes (PER) and endothelial cells (END). Cell types highlighted in bold reflect the equivalent to the cell type used in the interaction eQTL.
One Qtl Single Trait Interval Mapping Procedure, supplied by MultiQTL Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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fast reverse-mapping procedure for vinyl polymer chains  (Meso Scale Diagnostics LLC)
90
Meso Scale Diagnostics LLC fast reverse-mapping procedure for vinyl polymer chains
(A) Spearman correlations between the 5 predicted cell count proportions. Lower triangle is within cortex samples, upper triangle is within cerebellum samples. (B) Predicted cell type proportions (x-axis) compared to cell type proportions measured using immunohistochemistry (IHC; y-axis) for 42 ROSMAP samples. Values in the plot are Pearson correlation coefficients. Cell count predictions for most cell types closely approximates actual IHC cell counts, although neurons are underestimated. (C) Number of cell type interacting eQTLs for Cortex-EUR deconvoluted cell types. The majority of interactions are with neurons and oligodendrocytes. Notably, most interactions are unique for one cell type in 90% of the cases. ( D, E, F ) Replication of cell type interacting eQTLs for STMN4 ( D ), FAM221A ( E ) and SLC25A27 ( F ), consisting of the scatterplot of the interaction <t>eQTL</t> <t>in</t> <t>MetaBrain</t> Cortex-EUR bulk RNA-seq (left) and a forest plot for the eQTL effect in the ROSMAP snRNA-seq data (right). Scatterplot: the x-axis shows the estimated cell type proportion, the y-axis shows the gene expression, each dot represents a sample. Colors indicate SNP genotype, with yellow being the minor allele. Values under the alleles are Spearman correlation coefficients. Forest plot: Spearman coefficients with effect direction relative to the minor allele when replicating the eQTL effect in ROSMAP single nucleus data (n=38). Error bars indicate 95% confidence interval. Each row denotes a cell type specific dataset: excitatory neurons (EX), oligodendrocytes (OLI), inhibitory neurons (IN), astrocytes (AST), oligodendrocyte precursor cells (OPC), microglia (MIC), pericytes (PER) and endothelial cells (END). Cell types highlighted in bold reflect the equivalent to the cell type used in the interaction eQTL.
Fast Reverse Mapping Procedure For Vinyl Polymer Chains, supplied by Meso Scale Diagnostics LLC, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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fast reverse-mapping procedure for vinyl polymer chains - by Bioz Stars, 2026-05
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neurolucida mapping procedures  (MBF Bioscience)
90
MBF Bioscience neurolucida mapping procedures
(A) Spearman correlations between the 5 predicted cell count proportions. Lower triangle is within cortex samples, upper triangle is within cerebellum samples. (B) Predicted cell type proportions (x-axis) compared to cell type proportions measured using immunohistochemistry (IHC; y-axis) for 42 ROSMAP samples. Values in the plot are Pearson correlation coefficients. Cell count predictions for most cell types closely approximates actual IHC cell counts, although neurons are underestimated. (C) Number of cell type interacting eQTLs for Cortex-EUR deconvoluted cell types. The majority of interactions are with neurons and oligodendrocytes. Notably, most interactions are unique for one cell type in 90% of the cases. ( D, E, F ) Replication of cell type interacting eQTLs for STMN4 ( D ), FAM221A ( E ) and SLC25A27 ( F ), consisting of the scatterplot of the interaction <t>eQTL</t> <t>in</t> <t>MetaBrain</t> Cortex-EUR bulk RNA-seq (left) and a forest plot for the eQTL effect in the ROSMAP snRNA-seq data (right). Scatterplot: the x-axis shows the estimated cell type proportion, the y-axis shows the gene expression, each dot represents a sample. Colors indicate SNP genotype, with yellow being the minor allele. Values under the alleles are Spearman correlation coefficients. Forest plot: Spearman coefficients with effect direction relative to the minor allele when replicating the eQTL effect in ROSMAP single nucleus data (n=38). Error bars indicate 95% confidence interval. Each row denotes a cell type specific dataset: excitatory neurons (EX), oligodendrocytes (OLI), inhibitory neurons (IN), astrocytes (AST), oligodendrocyte precursor cells (OPC), microglia (MIC), pericytes (PER) and endothelial cells (END). Cell types highlighted in bold reflect the equivalent to the cell type used in the interaction eQTL.
Neurolucida Mapping Procedures, supplied by MBF Bioscience, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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optical mapping procedure  (BioNano Genomics)
90
BioNano Genomics optical mapping procedure
(A) Spearman correlations between the 5 predicted cell count proportions. Lower triangle is within cortex samples, upper triangle is within cerebellum samples. (B) Predicted cell type proportions (x-axis) compared to cell type proportions measured using immunohistochemistry (IHC; y-axis) for 42 ROSMAP samples. Values in the plot are Pearson correlation coefficients. Cell count predictions for most cell types closely approximates actual IHC cell counts, although neurons are underestimated. (C) Number of cell type interacting eQTLs for Cortex-EUR deconvoluted cell types. The majority of interactions are with neurons and oligodendrocytes. Notably, most interactions are unique for one cell type in 90% of the cases. ( D, E, F ) Replication of cell type interacting eQTLs for STMN4 ( D ), FAM221A ( E ) and SLC25A27 ( F ), consisting of the scatterplot of the interaction <t>eQTL</t> <t>in</t> <t>MetaBrain</t> Cortex-EUR bulk RNA-seq (left) and a forest plot for the eQTL effect in the ROSMAP snRNA-seq data (right). Scatterplot: the x-axis shows the estimated cell type proportion, the y-axis shows the gene expression, each dot represents a sample. Colors indicate SNP genotype, with yellow being the minor allele. Values under the alleles are Spearman correlation coefficients. Forest plot: Spearman coefficients with effect direction relative to the minor allele when replicating the eQTL effect in ROSMAP single nucleus data (n=38). Error bars indicate 95% confidence interval. Each row denotes a cell type specific dataset: excitatory neurons (EX), oligodendrocytes (OLI), inhibitory neurons (IN), astrocytes (AST), oligodendrocyte precursor cells (OPC), microglia (MIC), pericytes (PER) and endothelial cells (END). Cell types highlighted in bold reflect the equivalent to the cell type used in the interaction eQTL.
Optical Mapping Procedure, supplied by BioNano Genomics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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dna isolation, labelling and optical mapping procedure  (BioNano Genomics)
90
BioNano Genomics dna isolation, labelling and optical mapping procedure
(A) Spearman correlations between the 5 predicted cell count proportions. Lower triangle is within cortex samples, upper triangle is within cerebellum samples. (B) Predicted cell type proportions (x-axis) compared to cell type proportions measured using immunohistochemistry (IHC; y-axis) for 42 ROSMAP samples. Values in the plot are Pearson correlation coefficients. Cell count predictions for most cell types closely approximates actual IHC cell counts, although neurons are underestimated. (C) Number of cell type interacting eQTLs for Cortex-EUR deconvoluted cell types. The majority of interactions are with neurons and oligodendrocytes. Notably, most interactions are unique for one cell type in 90% of the cases. ( D, E, F ) Replication of cell type interacting eQTLs for STMN4 ( D ), FAM221A ( E ) and SLC25A27 ( F ), consisting of the scatterplot of the interaction <t>eQTL</t> <t>in</t> <t>MetaBrain</t> Cortex-EUR bulk RNA-seq (left) and a forest plot for the eQTL effect in the ROSMAP snRNA-seq data (right). Scatterplot: the x-axis shows the estimated cell type proportion, the y-axis shows the gene expression, each dot represents a sample. Colors indicate SNP genotype, with yellow being the minor allele. Values under the alleles are Spearman correlation coefficients. Forest plot: Spearman coefficients with effect direction relative to the minor allele when replicating the eQTL effect in ROSMAP single nucleus data (n=38). Error bars indicate 95% confidence interval. Each row denotes a cell type specific dataset: excitatory neurons (EX), oligodendrocytes (OLI), inhibitory neurons (IN), astrocytes (AST), oligodendrocyte precursor cells (OPC), microglia (MIC), pericytes (PER) and endothelial cells (END). Cell types highlighted in bold reflect the equivalent to the cell type used in the interaction eQTL.
Dna Isolation, Labelling And Optical Mapping Procedure, supplied by BioNano Genomics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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hisensetm epitope mapping procedure  (Pepscan Inc)
90
Pepscan Inc hisensetm epitope mapping procedure
(A) Spearman correlations between the 5 predicted cell count proportions. Lower triangle is within cortex samples, upper triangle is within cerebellum samples. (B) Predicted cell type proportions (x-axis) compared to cell type proportions measured using immunohistochemistry (IHC; y-axis) for 42 ROSMAP samples. Values in the plot are Pearson correlation coefficients. Cell count predictions for most cell types closely approximates actual IHC cell counts, although neurons are underestimated. (C) Number of cell type interacting eQTLs for Cortex-EUR deconvoluted cell types. The majority of interactions are with neurons and oligodendrocytes. Notably, most interactions are unique for one cell type in 90% of the cases. ( D, E, F ) Replication of cell type interacting eQTLs for STMN4 ( D ), FAM221A ( E ) and SLC25A27 ( F ), consisting of the scatterplot of the interaction <t>eQTL</t> <t>in</t> <t>MetaBrain</t> Cortex-EUR bulk RNA-seq (left) and a forest plot for the eQTL effect in the ROSMAP snRNA-seq data (right). Scatterplot: the x-axis shows the estimated cell type proportion, the y-axis shows the gene expression, each dot represents a sample. Colors indicate SNP genotype, with yellow being the minor allele. Values under the alleles are Spearman correlation coefficients. Forest plot: Spearman coefficients with effect direction relative to the minor allele when replicating the eQTL effect in ROSMAP single nucleus data (n=38). Error bars indicate 95% confidence interval. Each row denotes a cell type specific dataset: excitatory neurons (EX), oligodendrocytes (OLI), inhibitory neurons (IN), astrocytes (AST), oligodendrocyte precursor cells (OPC), microglia (MIC), pericytes (PER) and endothelial cells (END). Cell types highlighted in bold reflect the equivalent to the cell type used in the interaction eQTL.
Hisensetm Epitope Mapping Procedure, supplied by Pepscan Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


(A) Spearman correlations between the 5 predicted cell count proportions. Lower triangle is within cortex samples, upper triangle is within cerebellum samples. (B) Predicted cell type proportions (x-axis) compared to cell type proportions measured using immunohistochemistry (IHC; y-axis) for 42 ROSMAP samples. Values in the plot are Pearson correlation coefficients. Cell count predictions for most cell types closely approximates actual IHC cell counts, although neurons are underestimated. (C) Number of cell type interacting eQTLs for Cortex-EUR deconvoluted cell types. The majority of interactions are with neurons and oligodendrocytes. Notably, most interactions are unique for one cell type in 90% of the cases. ( D, E, F ) Replication of cell type interacting eQTLs for STMN4 ( D ), FAM221A ( E ) and SLC25A27 ( F ), consisting of the scatterplot of the interaction eQTL in MetaBrain Cortex-EUR bulk RNA-seq (left) and a forest plot for the eQTL effect in the ROSMAP snRNA-seq data (right). Scatterplot: the x-axis shows the estimated cell type proportion, the y-axis shows the gene expression, each dot represents a sample. Colors indicate SNP genotype, with yellow being the minor allele. Values under the alleles are Spearman correlation coefficients. Forest plot: Spearman coefficients with effect direction relative to the minor allele when replicating the eQTL effect in ROSMAP single nucleus data (n=38). Error bars indicate 95% confidence interval. Each row denotes a cell type specific dataset: excitatory neurons (EX), oligodendrocytes (OLI), inhibitory neurons (IN), astrocytes (AST), oligodendrocyte precursor cells (OPC), microglia (MIC), pericytes (PER) and endothelial cells (END). Cell types highlighted in bold reflect the equivalent to the cell type used in the interaction eQTL.

Journal: bioRxiv

Article Title: Brain expression quantitative trait locus and network analysis reveals downstream effects and putative drivers for brain-related diseases

doi: 10.1101/2021.03.01.433439

Figure Lengend Snippet: (A) Spearman correlations between the 5 predicted cell count proportions. Lower triangle is within cortex samples, upper triangle is within cerebellum samples. (B) Predicted cell type proportions (x-axis) compared to cell type proportions measured using immunohistochemistry (IHC; y-axis) for 42 ROSMAP samples. Values in the plot are Pearson correlation coefficients. Cell count predictions for most cell types closely approximates actual IHC cell counts, although neurons are underestimated. (C) Number of cell type interacting eQTLs for Cortex-EUR deconvoluted cell types. The majority of interactions are with neurons and oligodendrocytes. Notably, most interactions are unique for one cell type in 90% of the cases. ( D, E, F ) Replication of cell type interacting eQTLs for STMN4 ( D ), FAM221A ( E ) and SLC25A27 ( F ), consisting of the scatterplot of the interaction eQTL in MetaBrain Cortex-EUR bulk RNA-seq (left) and a forest plot for the eQTL effect in the ROSMAP snRNA-seq data (right). Scatterplot: the x-axis shows the estimated cell type proportion, the y-axis shows the gene expression, each dot represents a sample. Colors indicate SNP genotype, with yellow being the minor allele. Values under the alleles are Spearman correlation coefficients. Forest plot: Spearman coefficients with effect direction relative to the minor allele when replicating the eQTL effect in ROSMAP single nucleus data (n=38). Error bars indicate 95% confidence interval. Each row denotes a cell type specific dataset: excitatory neurons (EX), oligodendrocytes (OLI), inhibitory neurons (IN), astrocytes (AST), oligodendrocyte precursor cells (OPC), microglia (MIC), pericytes (PER) and endothelial cells (END). Cell types highlighted in bold reflect the equivalent to the cell type used in the interaction eQTL.

Article Snippet: Since the procedures for eQTL mapping were identical between MetaBrain and eQTLGen, our results highlight the relevance of tissue-specific eQTL mapping to accurately assess the directionality of eQTLs, which can elucidate eQTLs with opposite allelic effects .

Techniques: Cell Counting, Immunohistochemistry, RNA Sequencing, Gene Expression