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Goal:
Understand the kidney in health and disease via 3D imaging and cytometric analyses.
The following image types within this technology are available in the Kidney Tissue Atlas:
Goal:
To build a library of high-resolution phenotypical maps of kidney biopsies with anchor, immune, and functional markers for in situ spatial analysis at single cell resolution in normal and pathological conditions.
The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.
A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!
Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.
The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.
The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.
A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!
Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.
JUMP TO:
Goal:
Identify cell types and states associated with normal and injured kidney functions using gene expression profiling. Identify marker genes for cell type/states and any proportion shifts underlying pathology.
Goal:
Empirically derive cell subtypes and cell-type-specific gene expression profiles.
Goal:
Generate deep transcriptomic signatures from nephron segments defined spatially by antibody staining using laser microdissection.
Goal:
Capture whole transcriptome mRNA expression with localization to kidney cells and structures.
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Goal:
Characterize the kidney proteome in health and disease to identify protein markers that reflect each segment, matrix, and cell type contained in the tissue.
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Goal:
Localize the small metabolite markers in tissue sections from human kidneys.
Goal:
Localize the lipid markers in tissue sections from human kidneys.
JUMP TO:
Goal:
Understand the kidney in health and disease via 3D imaging and cytometric analyses.
The following image types within this technology are available in the Kidney Tissue Atlas:
Goal:
To build a library of high-resolution phenotypical maps of kidney biopsies with anchor, immune, and functional markers for in situ spatial analysis at single cell resolution in normal and pathological conditions.