Biology subjects

Miranker, A. D.

Publications and source records attributed to Miranker, A. D..

6 recordsLinked to original sources

bioRxiv2026

Integrating CSF and EV Proteomes Enhances Biomarker Discovery by Capturing Shared Variation Across Compartments

Cerebrospinal fluid (CSF) contains brain derived proteins that can be leveraged as biomarkers for Alzheimer's disease (AD) and other neurodegenerative diseases. However, converting protein intensities to a disease signal remains a challenge because physiology driven changes to the localization of proteins across CSF subcompartments are obscured when CSF is analyzed alone. Where subcompartment data, such as that from extracellular vesicles (EVs), are also measured, separate but parallel analyses of EVs and CSF can obscure their shared disease signal. Here, we present an integrated matrix factorization approach that combines proteomic signals from matched CSF and phosphatidylserine exposed EVs and nanoparticles (EVps). In a ROS/MAP cohort of 48 participants, integrating CSF and EVps signals improved biological concordance across compartments and increased the number of candidate proteins distinguishing participants with AD from controls. Notably, the joint signal identified as many brain related biomarker candidates as studies using substantially larger cohorts. By demonstrating that integration of CSF and EVps proteomes maximizes information from limited samples, this framework offers a path toward more efficient biomarker discovery across two compartments increasingly leveraged in neurodegenerative disease research.

systems biology↗

bioRxiv2026

African Green Monkey Cerebrospinal Fluid miRNome Captures Conserved miRNAs Relevant to Human Neurodegenerative Disease

BackgroundThe African green monkey (AGM) is increasingly used as a model for early-stage Alzheimers disease (AD), with cerebrospinal fluid (CSF) targeted for biomarker discovery and longitudinal disease monitoring of shifts in the central nervous system. MicroRNAs (miRNAs) are particularly informative indicators of early neuropathological change. Despite the complementary value of an early-stage disease model and a molecular marker capable of capturing early change, the miRNA composition (miRNome) of AGM remains undefined. We established the AGM CSF miRNome from antemortem samples using miRNA sequencing and a qRT-PCR-based array. We also developed a hierarchical annotation pipeline to classify miRNAs as either family-conserved or unclassified and to assess sequence alignment across humans and other species. ResultsWe used untargeted miRNA sequencing to characterize the AGM CSF miRNome and identified 205 miRNAs that could be classified into three family-conserved categories: canonical, noncanonical, and 3'-terminal variants. Of these, 150 were also detected using a human-targeted qRT-PCR array, providing independent support for the sequence-derived miRNome. Sequencing abundance and qRT-PCR array Ct values showed significant cross-platform concordance overall, although concordance was lower for 3'-terminal isomiRs than for canonical miRNAs. Comparison with human GTEx tissue-expression data indicated that several human homologs of AGM CSF miRNAs exhibited brain-preferential expression. Notably, predicted targets of many of these miRNAs were enriched for pathways implicated in neurodegenerative disease. Finally, we identified 20 unclassified candidates that could not be assigned to established miRNA families, two of which we propose as putatively novel miRNAs. ConclusionThe AGM CSF miRNome is substantially conserved with the human miRNome but also contains 3'-terminal isomiRs and unclassified miRNA candidates. AGM CSF contains miRNAs homologous to human miRNAs associated with AD and other neuropathologies, highlighting the translational potential of this model. However, our study also reveals challenges related to species-specific sequence variation and reduced cross-platform concordance for isomiRs. Thus, comparative studies will be needed to validate the functional and biomarker relevance of these miRNAs across species. More generally, this initial miRNome provides a reference resource for future studies of miRNAs in AGM across disease-related, physiological, experimental, and evolutionary contexts.

genomics↗

bioRxiv2025

African Green Monkeys Respond to Synthetic AB Oligomers with Persistent Alzheimers-like Activation

Wild African green monkeys (AGMs) provide a promising alternative to congenic rodent models because of their closer evolutionary relationship to humans and natural genetic variation. They share key physiological and biochemical traits with humans, including lifespan, neuroanatomy, vascular structure, and inflammatory responses. Unlike rodents, AGMs naturally develop Alzheimers-like amyloid-{beta} (A{beta}) plaques and tau tangles with age. Immunohistochemical studies further show that AGMs inoculated with synthetic A{beta} oligomers (A{beta}O) exhibit hyperphosphorylated tau and neuroinflammation one year later, in the absence of overt neurodegeneration. The AGM body size permits collection of cerebrospinal fluid (CSF) and CSF derived extracellular vesicles (EV) from living individuals, which are key sources of Alzheimers disease biomarkers that can be monitored during disease progression. Here, we evaluate A{beta}O treated AGMs at the systems level using proteomics of CSF and phosphatidylserine affinity isolated EVs (EVps). We optimized a workflow to obtain paired CSF and EVps proteomics from <1 mL volumes, i.e. comparable to human liquid biopsy. Our measurements reveal robust, persistent AD-like responses at the biochemical level without overt loss of cognitive function. As such, these findings in AGMs suggest potential alternatives for disease tracking or point to protective mechanisms for limiting disease progression in AD. HighlightsO_LIDual proteomics of African green monkeys transiently challenged with synthetic A{beta} oligomers (A{beta}O) C_LIO_LIPhosphotidylserine (TIM4) based workflow enables CSF and EV profiling using clinical volumes C_LIO_LIOne year post-A{beta}O: vascular-inflammatory pathways rise; neuronal-axonal pathways fall C_LIO_LIA{beta}Os drive human-AD-like proteome shifts on time scales shorter than cognitive decline C_LI In briefWild African green monkeys (AGMs) offer a translational model for early Alzheimers biology, with physiology more similar to humans. We transiently exposed AGMs to synthetic A{beta} oligomers and, 12 months later, profiled paired proteomes from whole CSF and a CSF subcompartment enriched for extracellular vesicles. Despite no overt cognitive decline, AGM proteomes showed persistent Alzheimers-like remodeling, particularly in vascular, inflammatory, and neuronal systems. Parallel analysis of the CSF subcompartment revealed proteins and pathways under-represented in bulk CSF, sharpening disease-relevant signals and candidate biomarkers. This systems-level, longitudinal study establishes AGMs as a powerful platform for liquid biopsy discovery and illuminates basic biology of molecular responses to soluble A{beta} oligomers accompany and potentially protect against neurodegeneration.

systems biology↗

bioRxiv2021

PLIGHT: A tool to assess privacy risk by inferring identifying characteristics from sparse, noisy genotypes

Single nucleotide polymorphisms (SNPs) from omics data carry a high risk of reidentification for individuals and their relatives. While the ability of thousands of SNPs (especially rare ones) to identify individuals has been repeatedly demonstrated, the ready availability of small sets of noisy genotypes - such as from environmental DNA samples or functional genomics data - motivated us to quantify their informativeness. Here, we present a computational tool suite, PLIGHT ("Privacy Leakage by Inference across Genotypic HMM Trajectories"), that employs population-genetics-based Hidden Markov Models of recombination and mutation to find piecewise alignment of small, noisy query SNP sets to a reference haplotype database. We explore cases where query individuals are either known to be in a database, or not, and consider a variety of queries, including simulated genotype "mosaics" (composites from 2 source individuals) and genotypes from swabs of coffee cups from a known individual. Using PLIGHT on a database with ~5,000 haplotypes, we find for common, noise-free SNPs that only ten are sufficient to identify individuals, ~20 can identify both components in two-individual simulated mosaics, and 20-30 can identify first-order relatives (parents, children, and siblings). Using noisy coffee-cup-derived SNPs, PLIGHT identifies an individual (within the database) using ~30 SNPs. Moreover, even when the individual is not in the database, local genotype matches allow for some phenotypic information leakage based on coarse-grained GWAS SNP imputation and polygenic risk scores. Overall, PLIGHT maximizes the identifying information content of sparse SNP sets through exact or partial matches to databases. Finally, by quantifying such privacy attacks, PLIGHT helps determine the value of selectively sanitizing released SNPs without explicit assumptions about underlying population membership or allele frequencies. To make this practical, we provide a sanitization tool to remove the most identifying SNPs from a query set.

bioinformatics↗

bioRxiv2018

α-Synuclein binds extracellular complex N-linked glycans

Cell-to-cell transmission of toxic forms of -Synuclein (S) is thought to underlie disease progression in Parkinsons disease. S in humans is constitutively N-terminally acetylated (Sacetyl), although the impact of this modification is relatively unexplored. Here we report that Sacetyl is more effective at inducing intracellular aggregation in primary neurons than unmodified S (Sun). We identify complex N-linked glycans as binding partners for Sacetyl, and demonstrate that cellular internalization of Sacetyl is reduced significantly upon cleavage of extracellular N-linked glycans, but not other carbohydrates. We verify binding of Sacetyl to N-linked glycans in vitro, using both isolated glycans and cell-derived proteoliposomes. Finally, we identify neurexin l{beta}, a neuronal glycoprotein, as capable of driving glycan-dependent uptake of Sacetyl. Importantly, our results are specific to Sacetyl as Sun does not demonstrate sensitivity for N-linked glycans. Our study identifies extracellular N-linked glycans, and neurexin l{beta} specifically, as key modulators of neuronal uptake of physiological Sacetyl drawing attention to the potential therapeutic value of Sacetyl-glycan interactions.

biophysics↗

bioRxiv2016

Structurally distinct oligomers of islet amyloid polypeptide mediate toxic and non-toxic membrane poration

Peptide mediated gain-of-toxic function is central to pathology in Alzheimers, Parkinsons and diabetes. In each system, self-assembly into oligomers is observed and can also result in poration of artificial membranes. Structural requirements for poration and the relationship of structure to cytotoxicity is unaddressed. Here, we focus on islet amyloid polypeptide (IAPP) mediated loss of insulin secreting cells in diabetics. Newly developed methods enable structure-function inquiry to focus on intracellular oligomers composed of hundreds of IAPP. The key insights are that porating oligomers are internally dynamic, grow in discrete steps and are not canonical amyloid. Moreover, two class of pores coexist; an IAPP-specific ligand establishes that only one is cytotoxic. Toxic rescue occurs by stabilizing non-toxic poration without displacing IAPP from mitochondria. These insights illuminate cytotoxic mechanism in diabetes and also provide a generalizable approach for inquiry applicable to other partially ordered protein assemblies.\n\nHighlightsO_LIThe peptide amyloid precursor, IAPP, forms two classes of membrane porating oligomers.\nC_LIO_LIThe two classes have a >100-fold difference in pore size with the large pore form correlated with mitochondrial depolarization and toxicity.\nC_LIO_LIA drug-like molecule distinguishes between the two oligomer classes and rescues toxicity by stabilizing non-toxic poration without displacing IAPP from the mitochondria.\nC_LIO_LIThe mechanism of pore-forming oligomer assembly includes stepwise coalescence of smaller, dynamic assemblies.\nC_LI

cell biology↗