Benchmarking of a multi-biomarker low-volume panel for Alzheimer's Disease and related dementia research.

Alzheimer's Disease (AD) biomarker measurement is key to aid in the diagnosis and prognosis of the disease. In the research setting, participant recruitment and retention and optimization of sample use, is one of the main challenges that observational studies face. Thus, obtaining accurate established biomarker measurements for stratification and maximizing use of the precious samples is key. Accurate technologies are currently available for established biomarkers, mainly immunoassays and immunoprecipitation liquid chromatography-mass spectrometry (IP-MS), and some of them are already being used in clinical settings. Although some immunoassays- and IP-MS based platforms provide multiplexing for several different coding proteins there is not a current platform that can measure all the stablished and emerging biomarkers in one run. The NUcleic acid Linked Immuno-Sandwich Assay (NULISA™) is a mid-throughput platform with antibody-based measurements with a sequencing output that requires 15µL of sample volume to measure more than 100 analytes, including those typically assayed for AD. Here we benchmarked and compared the AD-relevant biomarkers including in the NULISA against validated assays, in both CSF and plasma. Overall, we have found that CSF measures of Aß42/40, NfL, GFAP, and p-tau217 are highly correlated and have similar predictive performance when measured by immunoassay, mass-spectrometry or NULISA. In plasma, p-tau217 shows a performance similar to that reported with other technologies when predicting amyloidosis. Other established and exploratory biomarkers (total tau, p-tau181, NRGN, YKL40, sTREM2, VILIP1 among other) show a wide range of correlation values depending on the fluid and the platform. Our results indicate that the multiplexed immunoassay platform produces reliable results for established biomarkers in CSF that are useful in research settings, with the advantage of measuring additional novel biomarkers using minimal sample volume.

Hybridization order is not the driving factor behind biases in duplicate gene losses among the hexaploid Solanaceae.

We model the post-hexaploidy evolution of four genomes from the Solanaceae, a group of flowering plants comprising tomatoes, potatoes and their relatives. The hexaploidy that these genomes descend from occurred through two sequential allopolyploidy events and was marked by the unequal losses of duplicated genes from the different progenitor subgenomes. In contrast with the hexaploid Brassiceae (broccoli and its relatives), where the subgenome with the most surviving genes arrived last in the hexaploidy, among the Solanaceae the most preserved subgenome descends from one of the original two tetraploid progenitors. In fact, the last-arriving subgenome in these plants actually has the fewest surviving genes in the modern genomes. We explore whether the distribution of repetitive elements (REs) in these genomes can explain the biases in gene losses, but while the signals we find are broadly consistent with a role for high RE density in driving gene losses, the REs turn over so quickly that little signal of the RE condition at the time of paleopolyploidy is extant in the modern genomes.

Comparative phylogenetics of repetitive elements in a diverse order of flowering plants (Brassicales).

Genome sizes of plants have long piqued the interest of researchers due to the vast differences among organisms. However, the mechanisms that drive size differences have yet to be fully understood. Two important contributing factors to genome size are expansions of repetitive elements, such as transposable elements (TEs), and whole-genome duplications (WGD). Although studies have found correlations between genome size and both TE abundance and polyploidy, these studies typically test for these patterns within a genus or species. The plant order Brassicales provides an excellent system to further test if genome size evolution patterns are consistent across larger time scales, as there are numerous WGDs. This order is also home to one of the smallest plant genomes, Arabidopsis thaliana-chosen as the model plant system for this reason-as well as to species with very large genomes. With new methods that allow for TE characterization from low-coverage genome shotgun data and 71 taxa across the Brassicales, we confirm the correlation between genome size and TE content, however, we are unable to reconstruct phylogenetic relationships and do not detect any shift in TE abundance associated with WGD.