The Experts below are selected from a list of 161775 Experts worldwide ranked by ideXlab platform
John C Marioni - One of the best experts on this subject based on the ideXlab platform.
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high throughput Spatial Mapping of single cell rna seq data to tissue of origin
Nature Biotechnology, 2015Co-Authors: Kaia Achim, Jeanbaptiste Pettit, Luis R Saraiva, Daria Gavriouchkina, Tomas Larsson, Detlev Arendt, John C MarioniAbstract:Single cells profiled by RNA-seq are rapidly assigned to their location in a complextissue using data in gene expression atlases.
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high throughput Spatial Mapping of single cell rna seq data to tissue of origin
Nature Biotechnology, 2015Co-Authors: Kaia Achim, Jeanbaptiste Pettit, Luis R Saraiva, Daria Gavriouchkina, Tomas Larsson, Detlev Arendt, John C MarioniAbstract:Understanding cell type identity in a multicellular organism requires the integration of gene expression profiles from individual cells with their Spatial location in a particular tissue. Current technologies allow whole-transcriptome sequencing of Spatially identified cells but lack the throughput needed to characterize complex tissues. Here we present a high-throughput method to identify the Spatial origin of cells assayed by single-cell RNA-sequencing within a tissue of interest. Our approach is based on comparing complete, specificity-weighted mRNA profiles of a cell with positional gene expression profiles derived from a gene expression atlas. We show that this method allocates cells to precise locations in the brain of the marine annelid Platynereis dumerilii with a success rate of 81%. Our method is applicable to any system that has a reference gene expression database of sufficiently high resolution.
Kenan Gocer - One of the best experts on this subject based on the ideXlab platform.
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Spatial Mapping of occupant satisfaction and indoor environment quality in a leed platinum campus building
Building and Environment, 2014Co-Authors: Ozgur Gocer, Kenan GocerAbstract:Abstract This paper reports a post-occupancy evaluation study of a LEED Platinum building on a university campus. A multiple-tool POE approach with GIS-based Spatial Mapping method was used to analyze and visualize the survey results of building occupant satisfaction and the measured indoor environment quality. The occupants were overall satisfied with the indoor environment in their workspaces in the building of study, though thermal comfort was comparatively low with high percentage of occupants reporting their workspaces too cold. Air movement was found to be lower than preferred by the occupants, especially in interior offices where CO 2 level was also predominantly higher. Light levels in the building were found higher than preferred. Electric lighting power density installed did not reflect the fact that daylight is available for most of the lab and office spaces. Satisfaction with speech privacy was found lower in individual offices related to the construction detail of the connection between curtain wall and interior walls. Linking performance outcomes with Spatial information improves POE data management. Spatial Mapping allows reasons that cause occupant discomfort and dissatisfactory measured performance to be identified more intuitively and makes it potentially easier to communicate POE results with architects, engineers and facility management professionals, in order to engage them in the collaborative effort of continuous building performance improvement.
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Spatial Mapping of occupant satisfaction and indoor environment quality in a leed platinum campus building
Building and Environment, 2014Co-Authors: Ozgur Gocer, Kenan GocerAbstract:Abstract This paper reports a post-occupancy evaluation study of a LEED Platinum building on a university campus. A multiple-tool POE approach with GIS-based Spatial Mapping method was used to analyze and visualize the survey results of building occupant satisfaction and the measured indoor environment quality. The occupants were overall satisfied with the indoor environment in their workspaces in the building of study, though thermal comfort was comparatively low with high percentage of occupants reporting their workspaces too cold. Air movement was found to be lower than preferred by the occupants, especially in interior offices where CO 2 level was also predominantly higher. Light levels in the building were found higher than preferred. Electric lighting power density installed did not reflect the fact that daylight is available for most of the lab and office spaces. Satisfaction with speech privacy was found lower in individual offices related to the construction detail of the connection between curtain wall and interior walls. Linking performance outcomes with Spatial information improves POE data management. Spatial Mapping allows reasons that cause occupant discomfort and dissatisfactory measured performance to be identified more intuitively and makes it potentially easier to communicate POE results with architects, engineers and facility management professionals, in order to engage them in the collaborative effort of continuous building performance improvement.
Luis R Saraiva - One of the best experts on this subject based on the ideXlab platform.
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high throughput Spatial Mapping of single cell rna seq data to tissue of origin
Nature Biotechnology, 2015Co-Authors: Kaia Achim, Jeanbaptiste Pettit, Luis R Saraiva, Daria Gavriouchkina, Tomas Larsson, Detlev Arendt, John C MarioniAbstract:Single cells profiled by RNA-seq are rapidly assigned to their location in a complextissue using data in gene expression atlases.
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high throughput Spatial Mapping of single cell rna seq data to tissue of origin
Nature Biotechnology, 2015Co-Authors: Kaia Achim, Jeanbaptiste Pettit, Luis R Saraiva, Daria Gavriouchkina, Tomas Larsson, Detlev Arendt, John C MarioniAbstract:Understanding cell type identity in a multicellular organism requires the integration of gene expression profiles from individual cells with their Spatial location in a particular tissue. Current technologies allow whole-transcriptome sequencing of Spatially identified cells but lack the throughput needed to characterize complex tissues. Here we present a high-throughput method to identify the Spatial origin of cells assayed by single-cell RNA-sequencing within a tissue of interest. Our approach is based on comparing complete, specificity-weighted mRNA profiles of a cell with positional gene expression profiles derived from a gene expression atlas. We show that this method allocates cells to precise locations in the brain of the marine annelid Platynereis dumerilii with a success rate of 81%. Our method is applicable to any system that has a reference gene expression database of sufficiently high resolution.
Daria Gavriouchkina - One of the best experts on this subject based on the ideXlab platform.
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high throughput Spatial Mapping of single cell rna seq data to tissue of origin
Nature Biotechnology, 2015Co-Authors: Kaia Achim, Jeanbaptiste Pettit, Luis R Saraiva, Daria Gavriouchkina, Tomas Larsson, Detlev Arendt, John C MarioniAbstract:Single cells profiled by RNA-seq are rapidly assigned to their location in a complextissue using data in gene expression atlases.
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high throughput Spatial Mapping of single cell rna seq data to tissue of origin
Nature Biotechnology, 2015Co-Authors: Kaia Achim, Jeanbaptiste Pettit, Luis R Saraiva, Daria Gavriouchkina, Tomas Larsson, Detlev Arendt, John C MarioniAbstract:Understanding cell type identity in a multicellular organism requires the integration of gene expression profiles from individual cells with their Spatial location in a particular tissue. Current technologies allow whole-transcriptome sequencing of Spatially identified cells but lack the throughput needed to characterize complex tissues. Here we present a high-throughput method to identify the Spatial origin of cells assayed by single-cell RNA-sequencing within a tissue of interest. Our approach is based on comparing complete, specificity-weighted mRNA profiles of a cell with positional gene expression profiles derived from a gene expression atlas. We show that this method allocates cells to precise locations in the brain of the marine annelid Platynereis dumerilii with a success rate of 81%. Our method is applicable to any system that has a reference gene expression database of sufficiently high resolution.
Jeanbaptiste Pettit - One of the best experts on this subject based on the ideXlab platform.
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high throughput Spatial Mapping of single cell rna seq data to tissue of origin
Nature Biotechnology, 2015Co-Authors: Kaia Achim, Jeanbaptiste Pettit, Luis R Saraiva, Daria Gavriouchkina, Tomas Larsson, Detlev Arendt, John C MarioniAbstract:Single cells profiled by RNA-seq are rapidly assigned to their location in a complextissue using data in gene expression atlases.
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high throughput Spatial Mapping of single cell rna seq data to tissue of origin
Nature Biotechnology, 2015Co-Authors: Kaia Achim, Jeanbaptiste Pettit, Luis R Saraiva, Daria Gavriouchkina, Tomas Larsson, Detlev Arendt, John C MarioniAbstract:Understanding cell type identity in a multicellular organism requires the integration of gene expression profiles from individual cells with their Spatial location in a particular tissue. Current technologies allow whole-transcriptome sequencing of Spatially identified cells but lack the throughput needed to characterize complex tissues. Here we present a high-throughput method to identify the Spatial origin of cells assayed by single-cell RNA-sequencing within a tissue of interest. Our approach is based on comparing complete, specificity-weighted mRNA profiles of a cell with positional gene expression profiles derived from a gene expression atlas. We show that this method allocates cells to precise locations in the brain of the marine annelid Platynereis dumerilii with a success rate of 81%. Our method is applicable to any system that has a reference gene expression database of sufficiently high resolution.
