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Programmed cell death, accidental cell degradation and active extrusion constantly lead to the release of DNA fragments into human body fluids from virtually all cell and tissue types. It is widely accepted that these cell-free DNA (cfDNA) molecules retain the cell-type specific genetic and epigenetic features. Particularly, cfDNA in plasma or serum has been utilized for molecular diagnostics. The current clinically implemented liquid biopsy approaches are mostly based on detecting genetic differences in cfDNA molecules from healthy and diseased cells. Their diagnostic potential is limited to pathologies involving genetic alterations, by the low proportion of cfDNA molecules carrying the mutation(s) relative to the total cfDNA pool, and by the detection limit of employed techniques. Recently, research efforts turned to epigenetic features of cfDNA molecules and found that the tissue-of-origin of individual cfDNA molecules can be inferred from epigenetic characteristics. Analysis of, e.g., methylation patterns, nucleosome or transcription factor binding site occupancies, fragment size distribution or fragment end motifs, and histone modifications determined the cell or tissue-of-origin of individual cfDNA molecules. With this tissue-of origin-analysis, it is possible to estimate the contributions of different tissues to the total cfDNA pool in body fluids and find tissues with increased cell death (pathologic condition), expanding the portfolio of liquid biopsies beyond genetics and towards a wide range of pathologies, such as autoimmune disorders, cardiovascular diseases, and inflammation, among many others. In this review, we give an overview on the status of tissue-of-origin approaches and focus on what is needed to exploit the full potential of liquid biopsies towards minimally invasive screening methods with broad clinical applications.

Genomes of diverse origins are continuously shed into human body fluids in the form of fragmented cell-free DNA (cfDNA). These molecules maintain the genetic and epigenetic codes of their originating source, and often carry additional layers of unique information in newly discovered physico-chemical features. Characterization of cfDNA thus presents the opportunity to non-invasively reconstruct major parts of the host- and metagenome in silico. Data from a single specimen can be leveraged to detect a broad range of disease-specific signatures and has already enabled the development of many pioneering diagnostic tests. Moreover, data from serial sampling may allow unparalleled mapping of the scantily explored landscape of temporal genomic changes as it relates to various changes in different physiological and pathological states of individuals. In this review, we explore how this vast dimension of biological information accessible through cfDNA analysis is being tapped towards the development of increasingly powerful molecular assays and how it is shaping emerging technologies. We also discuss how this departure from traditional paradigms of snapshot genetic testing may pave the way for an onrush of new and exciting discoveries in human biology.

Early detection is crucial for optimal treatment and prognosis of cancer. New approaches for pan-cancer screening comprise the comprehensive characterization of circulating tumor DNA (ctDNA) in plasma by next generation sequencing and molecular profiling of mutations and methylation patterns, as well as fragmentation analysis. These promise the accurate detection and localization of multiple cancers in early disease stages. However, studies with real screening populations have to show their clinical utility and practicability.

Even though the glycine conjugation pathway was one of the first metabolic pathways to be discovered, this pathway remains very poorly characterized. The bi-substrate kinetic parameters of a recombinant human glycine N-acyltransferase (GLYAT, E.C. 2.3.1.13) were determined using the traditional colorimetric method and a newly developed HPLC-ESI-MS/MS method. Previous studies analyzing the kinetic parameters of GLYAT, indicated a random Bi-Bi and/or ping-pong mechanism. In this study, the hippuric acid concentrations produced by the GLYAT enzyme reaction were analyzed using the allosteric sigmoidal enzyme kinetic module. Analyses of the initial rate ( v) against substrate concentration plots, produced a sigmoidal curve (substrate activation) when the benzoyl-CoA concentrations was kept constant, whereas the plot with glycine concentrations kept constant, passed through a maximum (substrate inhibition). Thus, human GLYAT exhibits mechanistic kinetic cooperativity as described by the Ferdinand enzyme mechanism rather than the previously assumed Michaelis-Menten reaction mechanism. [ABSTRACT FROM AUTHOR]