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Dataset Information

Deconvolution of Human Urine across the Transcriptome and Metabolome.


ABSTRACT:

Background

Early detection of the cell type changes underlying several genitourinary tract diseases largely remains an unmet clinical need, where existing assays, if available, lack the cellular resolution afforded by an invasive biopsy. While messenger RNA in urine could reflect the dynamic signal that facilitates early detection, current measurements primarily detect single genes and thus do not reflect the entire transcriptome and the underlying contributions of cell type-specific RNA.

Methods

We isolated and sequenced the cell-free RNA (cfRNA) and sediment RNA from human urine samples (n = 6 healthy controls and n = 12 kidney stone patients) and measured the urine metabolome. We analyzed the resulting urine transcriptomes by deconvolving the noninvasively measurable cell

SUBMITTER: Vorperian SK 

PROVIDER: S-EPMC11927302 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature