Biology subjects

Parker, J.

Publications and source records attributed to Parker, J..

At least 19 recordsLinked to original sources

bioRxiv2026

High-resolution spatial transcriptomics maps viral tropism and reveals spatially organized immune modules in viral encephalitis

Viral encephalitis is a debilitating disease that most commonly affects vulnerable populations, including the very young and elderly. Despite its severity, few countermeasures exist due to the structural and immunological complexities of the central nervous system (CNS). To better understand the spatial dynamics of viral spread and the concurrent host immune responses, we used high-resolution spatial transcriptomics to profile reovirus infection in the neonatal mouse brain at 3, 5, and 7 days post-infection. We constructed a comprehensive spatiotemporal atlas of infection, which revealed viral dissemination from sites of cerebrospinal fluid circulation to neighboring brain parenchyma, with enriched infection in the thalamus and midbrain coincident with Slc17a6 (VGLUT2) excitatory neurons. Unbiased spatial gene co-expression network analysis uncovered rich gene lists linked to temporal waves of host immune responses, originating with interferon-stimulated gene modules, followed by myeloid cell infiltration and adaptive cytotoxic T-cell responses at times of peak disease. Furthermore, we identified spatial correlation between viral transcripts and several upregulated host snoRNA-related genes (e.g., Nop58 and Snhg1) with high-confidence, suggesting viral use of host ribosomal modification machinery. We also observed a strong anti-correlation of astrocyte markers with reovirus transcripts, suggesting glial cell disruption. This work provides a high-definition spatial framework to understand interactions between viral infection and host immunity in the brain.

microbiology↗

bioRxiv2026

Graph-based modeling of multiparametric MRI deciphers molecular states of high-grade glioma invasion with prognostic implications

AbstractThe infiltrative, non-enhancing margin of IDH wildtype high grade glioma (IDHwt HGG) harbors distinct molecular programs that drive invasion and therapeutic resistance, yet remains largely unevaluable by conventional tissue sampling approaches and by conventional imaging. Here we show that this invasive architecture is encoded within multiparametric MRI (mpMRI) feature relationships and can be decoded using a graph-based framework trained on multiregional image-localized biopsies. Across 134 spatially matched biopsy-imaging pairs from 35 patients with primary IDHwt HGG (29 glioblastomas (GBM) and 6 non-glioblastoma HGGs), unsupervised graph community detection identifies two imaging-defined clusters that localize to invasive tumor regions without molecular supervision. Transcriptomic profiling associates these clusters with neuronal (NEU) and glycolytic-plurimetabolic (GPM) molecular programs. Building on this framework, a graph convolutional network (GCN) accurately predicts NEU and GPM transcriptional states in independent training and validation cohorts and significantly outperforms conventional convolutional neural networks. Applied to whole-tumor mpMRI volumes, the trained GCN generates spatially resolved probability maps that quantify the distribution and relative burden of NEU and GPM programs across both MRI contrast-enhancing and non-enhancing invasive regions. These imaging-derived molecular maps stratify patients by overall survival. Increased GPM burden is associated with poorer survival, consistent with the aggressive behavior associated with mesenchymal-like transcriptional programs in IDHwt HGG. In contrast, increased NEU burden is associated with improved survival, identifying a previously unrecognized imaging-derived prognostic biomarker that was not detected by biopsy-based molecular classification alone. Together, these findings establish a graph-based imaging framework for spatially resolved molecular classification of invasive IDHwt HGG and demonstrate that whole-tumor molecular state architecture carries prognostic information beyond conventional tissue sampling.

cancer biology↗

bioRxiv2026

Plant pathogens cleave 2′cADPR to suppress TIR immune signaling

Small molecules produced by TIR (Toll-interleukin-1 receptor) domains are essential for plant immune signaling. A central TIR-derived signal is 2'cADPR, a cyclic ADP-ribose (ADPR) molecule that is generated by plant TIR-domain proteins upon sensing pathogen infection. Here we show that XopQ, a virulence protein widespread in plant pathogenic bacteria, cleaves 2'cADPR and converts it into an inactive, linear ADPR molecule. Steady-state kinetic analyses revealed that XopQ is a highly efficient enzyme that hydrolyzes 2'cADPR with near diffusion-limited catalytic efficiency, while displaying high specificity and no detectable activity toward closely related molecules such as 3'cADPR. We show that XopQ eliminates 2'cADPR in planta and prevents accumulation of pRib-AMP, a derivative of 2'cADPR that activates the downstream immune complex EDS1-PAD4. Our data demonstrate that XopQ inhibits PAD4-dependent plant immunity and can promote pathogen virulence even when the pathogen carries an avirulence effector that triggers TIR-mediated immune signaling. Finally, we show that XopQ can also inhibit type VI Thoeris, a bacterial anti-phage defense system that relies on 2'cADPR signaling, possibly explaining why XopQ and type VI Thoeris are not observed co-occurring in bacterial genomes. Our findings uncover a widespread and conserved strategy used by plant pathogens to directly target host TIR signaling.

Plant Biology↗

bioRxiv2026

Single cell eQTL mapping reveals convergent glial-neuronal risk architecture in Parkinson's disease

Synucleinopathies affect [~]15 million people and are classically divided into neuronal (Parkinsons disease (PD), dementia with Lewy bodies) and glial (multiple system atrophy) disorders. Here we challenge this dichotomy. We functionally fine-map 90 PD GWAS signals across nine cell types in cortex and substantia nigra using disease-context, population-scale single-nucleus eQTL meta-analysis (N = 1,197), bulk brain eQTL analysis (N = 1,182), and Mendelian randomization. A stringent causal framework integrates single-nucleus allelic imbalance (snASE) with orthogonal validation. We identify 125 functional risk genes for 50 loci--nearly doubling supported genes--and assign genes and cell types to over half of GWAS signals. Unexpectedly, 51% of risk genes are regulated in glia, particularly oligodendrocytes and their precursors. Across cell types, risk converges on a shared glial-neuronal vesiculopathy network. These findings uncover a convergent glial-neuronal risk architecture and establish a single-cell atlas for context-aware gene discovery and precision therapeutics for PD.

genetics↗

bioRxiv2026

Ocular findings in Northern Gannets following an outbreak of high pathogenicity avian influenza (H5N1)

BackgroundDuring 2021-2022, high pathogenicity avian influenza (HPAI) caused mass mortality in wild birds across Europe, with Northern Gannets (Morus bassanus) among the most affected. Following the outbreak, unusual alterations in the species characteristic pale iris were observed in some individuals. MethodsOpportunistically captured gannets on Bass Rock (n=52), selected to represent a range of iris pigmentation, were examined. Slit-lamp biomicroscopy, indirect ophthalmoscopy, rebound tonometry and photography were performed. Iris pigmentation was classified as normal, mottled or black. Eleven birds underwent avian influenza virus (AIV) serology. Histopathology was performed on two eyes. ResultsAbnormal iris pigmentation was found in 74% of adult and immature gannets, with 61% affected bilaterally. Additional signs consistent with uveitis were present in 77% of affected birds. Iris pigmentation abnormalities were positively associated with AIV H5 seropositivity (Fishers exact test, P=0.018). Histopathology from affected eyes showed increased melanin deposition and disorganisation, including loss of a distinct anterior layer of melanocytic cells and hypertrophy of melanocytes within the iris stroma. LimitationsField conditions limited uniform lighting and concurrent serology. ConclusionsIris pigmentation changes were associated with prior HPAI exposure and frequently accompanied by signs of uveitis, suggesting iris alterations may indicate past infection and potential chronic sequelae.

physiology↗

bioRxiv2026

Integrating Long-Read Structural Variant Analysis with single-nucleus RNA-seq to Elucidate Gene Expression Effects in Disease

Structural variants (SVs) are a major source of genetic diversity, yet how they impact cell types in complex brain diseases remains largely unexplored, partially due to limitations of short-read sequencing. Here, we addressed this fundamental question in Parkinsons disease (PD). generating long-read whole-genome sequencing (WGS) data for 100 post-mortem brain samples from a PD cohort, constructing a high-confidence catalog of 74,552 SVs. To resolve their functional impact, we integrated single-nucleus RNA-sequencing data from two brain regions from the same samples and focused functional analyses on SVs proximal to genes previously nominated as cis-regulated, potential causal targets of PD-associated GWAS loci. Using expression quantitative trait locus and allele-specific expression analyses, we uncovered SVs significantly associated with expression in specific cell types as well as effects shared across cell types. This study demonstrates the power of uniting long-read WGS with transcriptomics to uncover SVs underlying complex disease architecture with cell type resolution.

genomics↗

bioRxiv2026

Myc inhibition triggers GM-CSF-driven regression of pancreatic tumours

The complex aetiology of pancreatic ductal adenocarcinoma (PDAC), together with its desmoplastic and hypoxic microenvironment, hinders effective treatment and contributes to its rapid lethality1. Using a reversibly switchable genetic mouse model that closely recapitulates human PDAC phenotype progression, we previously showed that selective deactivation of oncogenic Myc in PDAC epithelial cells triggers rapid disassembly of advanced PDACs2, both tumor cells and their associated immune microenvironment. Here, leveraging spatiotemporal genomics and multiplex immune profiling we determine the mechanism underpinning this regression programme and identify granulocyte-macrophage colony-stimulating factor (GM-CSF) as its key instructive cytokine, transiently released by pancreatic ductal epithelial cells rapidly following Myc inactivation, that initiates tumour regression. We further demonstrate that type 1 conventional dendritic cells (cDC1s) act as critical effectors in Myc-OFF GM-CSF-driven tumour regression. Both antibody-mediated blockade of GM-CSF and genetic ablation of cDC1s via Batf3 knockout bone marrow transplantation prevent PDAC regression. Conversely, transient systemic administration of recombinant GM-CSF to PDAC-bearing mice promotes rapid cDC1 infiltration and induces marked tumour regression in the sustained presence of Myc activity. Together, these findings reveal that PDAC regression induced by Myc de-activation is mediated by a latent morphogenic programme that is initiated by transient release of GM-CSF from tumour cells. This regression programme is rapid, tissue-specific, involves both neoplastic cells and attendant desmoplastic stroma, is reliant on innate immunity and provides a novel framework for therapeutic intervention in PDAC.

cancer biology↗

bioRxiv2026

Schwann cell dysfunction contributes to diabetic wound pathology which is partially ameliorated by oncostatin M treatment

Chronic diabetic wounds represent a major clinical burden and are strongly associated with peripheral neuropathy, yet the contribution of nerve-associated Schwann cells to impaired healing remains poorly defined. Here, we investigated Schwann cell dynamics in cutaneous wound repair using the db/db model of type 2 diabetes. Full-thickness excisional wounds in db/db mice exhibited delayed closure, reduced dermal and epidermal thickness, and diminished cellular proliferation compared to non-diabetic controls. Diabetic wounds also demonstrated impaired re-innervation and a marked reduction in both total (S100{beta}+) and dedifferentiated (p75NTR+) Schwann cells, including decreased Schwann cell proliferation. These findings indicate that diabetes disrupts the injury-induced Schwann cell response that is essential for normal repair. Transcriptomic analyses revealed that injury-activated Schwann cells upregulate multiple trophic factors, including oncostatin M (OSM), while single-cell RNA sequencing demonstrated broad expression of OSM receptors (Osmr and Il6st) across wound-resident keratinocytes, fibroblasts, and vascular-associated cells, suggesting widespread responsiveness to OSM signalling during repair. Therapeutic administration of OSM to diabetic wounds significantly accelerated closure, reduced wound width and area, and increased dermal and epidermal thickness. Mechanistically, OSM enhanced epidermal proliferation, angiogenesis, and cutaneous axon regeneration. Collectively, these data identify Schwann cell dysfunction as a contributor to impaired diabetic wound healing and demonstrate that augmenting a Schwann cell-derived paracrine signal can partially rescue key reparative processes. Our findings support a regulatory role for Schwann cells in coordinating epithelial, vascular, and neural repair responses and highlight OSM signalling as a potential therapeutic strategy for chronic diabetic wounds.

cell biology↗

bioRxiv2025

Natural evolution of intermale sexual behavior by multiple pheromone switches among Drosophila species

We have identified a Drosophila species which exhibits spontaneous and robust intermale sexual behavior. D. santomea males distinguish conspecific sexes but court both vigorously and seldom attack. Elevated intermale courtship stems from at least three evolutionarily derived pheromonal changes. In males, the sexually monomorphic cuticular pheromone 7-tricosene promotes rather than inhibits courtship and the courtship-inhibiting olfactory pheromone cVA is reduced 84-92% compared to close relatives. The third switch is in D. santomea females, where cVA suppresses rather than promotes sexual receptivity. Female cVA aversion and male cVA reduction may have co-evolved to maintain efficient intraspecific mating but prevent hybridization with the sympatric sibling species D. yakuba. High intermale courtship and low cVA also co-occur and appear selectively derived in a distant monomorphic species D. persimilis, implying pheromonal and social behavioral convergence. Changes in pheromone valence and levels may therefore explain the recent evolutionary emergence of intermale sexual behavior in Drosophila.

evolutionary biology↗

bioRxiv2025

Macrocyclic Peptides Containing an Imidazopyridinium (IP+) Unit Display Enhanced Passive Cell Permeability

Macrocyclic peptides (MPs) have emerged as interesting therapeutic candidates due to their ability to engage difficult protein targets with high affinity and selectivity. However, their application to intracellular targets is limited by the poor passive membrane permeability of most MPs. We previously showed that incorporation of an imidazopyridinium (IP+) moiety into an MP significantly boosted passive membrane permeability, as measured by the parallel artificial membrane permeability assay (PAMPA)(Li, et al. (2024) J. Amer. Chem. Soc. 146, 14633-14644). In this study we report a detailed analysis of the entry of IP+-containing MPs into living cells. Chloroalkane penetration assay (CAPA) data show that IP+ MPs access the cytoplasm rapidly, often at rates approaching those of drug-like small molecules. Mechanistic studies, including live-cell imaging, ATP-depletion experiments, and organelle colocalization analyses, indicate that IP+ MPs traverse the plasma membrane primarily via passive diffusion, avoiding endosomal entrapment. IP+ MPs do not localize to mitochondria, as is the case for many positively charged molecules. We show that incorporation of an IP+ unit transforms a previously described membrane impermeable macrocyclic antagonist of the p53-MDM2 interaction into a bioactive inhibitor of MCF-7 proliferation. Collectively, these results establish that IP+ incorporation is an effective strategy for the development of bioactive MPs targeting intracellular proteins.

biochemistry↗

bioRxiv2025

Symbiotic entrenchment through ecological Catch-22

Symbiotic organisms frequently evolve obligate dependencies on hosts, but the evolutionary changes that entrench such lifestyles are poorly understood. Ant societies are vulnerable to parasitic "myrmecophiles": impostor species that infiltrate colonies and are often unable to survive outside of them. Here we show that obligate dependence of a myrmecophile on its host arises from irreversibility of the fundamental steps that achieve social acceptance inside the nest. We report a convergent system in which parallel rove beetle lineages (Staphylinidae) evolved from free-living ancestors to parasitize the same host ant. Exploiting this system, we uncover cellular mechanisms by which these beetles mimic host ant cuticular hydrocarbons (CHCs): nestmate recognition pheromones, which function pleiotropically to prevent desiccation. We present evidence of a biological stealth mechanism in a rove beetle in which the CHC biosynthetic machinery becomes transcriptionally silenced on entering the nest. Silencing transforms the beetle into a chemical blank slate onto which ant CHCs are horizontally transferred via interspecies grooming behavior. This strategy leads to identical chemical resemblance and seamless social integration within the colony. CHC pathway silencing is irreversible, however, forcing the beetle into a chronic, physically close dependence on ants to both maintain nestmate status and prevent desiccation. Loss of CHC silencing renders the beetle detectable to ants; conversely, loss of behavioral attraction to ants renders the beetle desiccation prone. Our findings show how symbiotic entrenchment can arise from a Catch-22-like ratchet operating at the organismal level.

evolutionary biology↗

bioRxiv2025

Acquired Amphotericin B Resistance Attributed to a Mutated ERG3 in Candidozyma auris

First identified in 2009, Candidozyma auris (formerly Candida auris) is an emerging multidrug resistant fungus that can cause invasive infections with a crude mortality rate ranging from 30-60%. Currently, 30-50% of C. auris isolates are intrinsically resistant to amphotericin B. In this work, we characterized a clinical case of acquired amphotericin B resistance using whole genome sequencing, a large-scale phenotypic screen, comprehensive sterol profiling, and genotypic reversion using CRISPR. Data obtained in this work provides evidence that a deletion resulting in a frameshift in ERG3 contributes to the observed resistant phenotype. Characterization of this isolate also revealed a fitness cost is associated with the abrogation of ergosterol production and its replacement with other late-stage sterols. This article presents a clinical case description of amphotericin B resistance from a frameshift mutation in ERG3 in C. auris and marks an advancement in the understanding of antifungal resistance in this fungal pathogen.

genetics↗

bioRxiv2025

A Recessive oca2 Mutation Underlies Albinism in Xiphophorus fish

Oculocutaneous albinism (OCA) is a group of genetic disorders characterized by impaired melanin production, leading to reduced pigmentation in the skin, hair, and eyes. Xiphophorus, a genus of small freshwater fish, has been a pivotal model organism in pigmentation disorder research, providing key findings in the genetic pathways governing physiological and pathological pigment cell biology. Leveraging the well-established research framework provided by Xiphophorus, we have identified a spontaneously occurring albinism phenotype in swordtail fish Xiphophorus hellerii. Genetic mapping of albino fish showed that albinism is associated with a recessive mutation in the oca2 gene. This discovery provides a novel opportunity to explore functions of oca2 gene in pigment cell differentiation, pigment synthesis, melanosome assembly and transportation function and amelanotic melanoma development.

genetics↗

bioRxiv2024

Evaluating bacteriophage impact on gut microbiome composition in broad-nosed pipefish (Syngnathus typhle)

Bacteriophages play a crucial role in shaping microbial community dynamics in marine systems and have the potential to stimulate surges in pathogenic bacteria facilitating disease outbreaks. Notwithstanding, bacteriophages also serve as valuable biocontrol agents, underscoring their huge potential for aquaculture therapy treatments. Insights into the intricate tripartite interplay upon an infection with a virulent bacterium, its specific phages and the eukaryotic microbiome could improve our understanding of how bacteria-phage interactions behave in a natural microbial system. This investigation assessed the influence of a virulent Vibrio alginolyticus (K01M1) infection, in tandem with lytic ([fe]St2) and filamentous ([fe]K04M1) Vibrio-specific phages, on the broad-nosed pipefish (Syngnathus typhle) gut microbiome using 16S rRNA amplicon sequencing and non-intrusive gastric swabbing. Microbial communities and diversity metrics were not permanently impacted by Vibrio and phage introductions, while the different infection regimes shaped Vibrio-specific dynamics. In the filamentous phage and Vibrio-only treatments, V. alginolyticus abundances spiked 12 hours post-ingestion. In contrast, V. alginolyticus numbers in the lytic phage and control treatment were significantly reduced, suggesting phage activity and specific elimination of the introduced bacteria. Assisted by relative true-gut tissue samples, a newly implemented non-intrusive swabbing method was successful at discerning the activity of two contrasting phages and supports previous work that encourages the use of [fe]St2 in bacteriophage treatments. Identifying Vibrio-specific phages with similar positive characteristics could be beneficial for the aquaculture trade, which is currently heavily impacted by the antibiotic crisis.

microbiology↗

bioRxiv2024

The Arabidopsis amino acid transporter UmamiT20 confers susceptibility to B. cinerea

O_LIInduction of SWEET sugar transporters by bacterial pathogens via transcription activator-like (TAL) effectors is necessary for successful blight infection of rice, cassava and cotton, - likely providing sugars for bacterial propagation. C_LIO_LIHere, we show that infection of Arabidopsis by the necrotrophic fungus Botrytis cinerea causes increased accumulation of amino acid transporter UmamiT20 mRNA in leaves. UmamiT20 protein accumulates in leaf veins surrounding the lesions after infection. Consistent with a role during infection, umamiT20 knock-out mutants were less susceptible to B. cinerea. C_LIO_LIFunctional assays demonstrate that UmamiT20 mediates amino acid transport of a wide range of amino acid substrates. C_LIO_LIPathogen-induced UmamiT20 mRNA and protein accumulation support the hypothesis that transporter-mediated pathogen susceptibility is not unique to SWEETs in bacterial blight of rice but also for a necrotrophic fungus and implicate nutrients other than sucrose, i.e., amino acids, in nutrition or nutrient signaling related to immunity. We hypothesize that stacking of mutations in different types of susceptibility-related nutrient carriers to interfere with access to several nutrients may enable engineering robust pathogen resistance in a wide range of plant-pathogen systems. C_LI Lay AbstractPathogens infect plants to gain access to their nutrient resources, enabling the pathogens to cause disease and reproduce efficiently. Here we find that an amino acid transporter constitutes a susceptibility factor for the fungal pathogen B. cinerea.

plant biology↗

bioRxiv2024

Experimental and Computational Methods for Allelic Imbalance Analysis from Single-Nucleus RNA-seq Data

Single-cell RNA-seq (scRNA-seq) is emerging as a powerful tool for understanding gene function across diverse cells. Recently, this has included the use of allele-specific expression (ASE) analysis to better understand how variation in the human genome affects RNA expression at the single-cell level. We reasoned that because intronic reads are more prevalent in single-nucleus RNA-Seq (snRNA-Seq), and introns are under lower purifying selection and thus enriched for genetic variants, that snRNA-seq should facilitate single-cell analysis of ASE. Here we demonstrate how experimental and computational choices can improve the results of allelic imbalance analysis. We explore how experimental choices, such as RNA source, read length, sequencing depth, genotyping, etc., impact the power of ASE-based methods. We developed a new suite of computational tools to process and analyze scRNA-seq and snRNA-seq for ASE. As hypothesized, we extracted more ASE information from reads in intronic regions than those in exonic regions and show how read length can be set to increase power. Additionally, hybrid selection improved our power to detect allelic imbalance in genes of interest. We also explored methods to recover allele-specific isoform expression levels from both long- and short-read snRNA-seq. To further investigate ASE in the context of human disease, we applied our methods to a Parkinsons disease cohort of 94 individuals and show that ASE analysis had more power than eQTL analysis to identify significant SNP/gene pairs in our direct comparison of the two methods. Overall, we provide an end-to-end experimental and computational approach for future studies.

genomics↗

bioRxiv2024

Enforced specificity of an animal symbiosis

Insect diversification has been catalyzed by widespread specialization on novel hosts--a process underlying exceptional radiations of phytophagous beetles, lepidopterans, parasitoid wasps, and inordinate lineages of symbionts, predators and other trophic specialists. The strict fidelity of many such interspecies associations is posited to hinge on sensory tuning to host-derived cues, a model supported by studies of neural function in host-specific model species. Here, we investigated the sensory basis of symbiotic interactions between a myrmecophile rove beetle and its single, natural host ant species. We show that host cues trigger analogous behaviors in both ant and symbiont. Cuticular hydrocarbons--the ants nestmate recognition pheromones--elicit partner recognition by the beetle and execution of ant grooming behavior, integrating the beetle into the colony via chemical mimicry. The beetle also follows host trail pheromones, permitting inter-colony dispersal. Remarkably, the rove beetle also performs its symbiotic behaviors with non-host ants separated by [~]95 million years, and shows minimal preference for its natural host over non-host ants. Experimentally validated agent-based modeling supports a scenario in which specificity is enforced by physiological constraints on symbiont dispersal, and negative fitness interactions with alternative hosts, rather than via sensory tuning. Enforced specificity may be a pervasive mechanism of host range restriction of specialists embedded within host niches. Chance realization of latent compatibilities with alternative hosts may facilitate host switching, enabling deep-time persistence of obligately symbiotic lineages.

evolutionary biology↗

bioRxiv2024

Application of Cancer Cell Line Encyclopedia for Measuring Correlation Between Transcriptomics and Proteomics as a Guide for System-level Insights

Robust and reliable proteome measurements provide mechanistic insights in biomedical research. SOMAmer (Slow Off-rate Modified Aptamer) reagents are modified, DNA-based, affinity reagents that measure defined target proteins with reproducibility and accuracy similar to monoclonal antibodies. Applying SOMAmer reagent technology, we developed SomaScan, a clinical proteome profiling platform with capability to measure 7,523 proteoforms for 6,594 human proteins by UniprotID in small sample volumes (e.g., 55l plasma or serum). We evaluated the platform by profiling the proteome of a panel of well characterized Cell Line Encyclopedia (CCLE) cancer models. Unsupervised machine learning analyses demonstrate the SomaScan assay distinguishing cell lines on the basis of their proteome signatures, and identifying both tissue-specific and oncogenic pathways. The proteome measured by SomaScan correlates with published CCLE transcriptome at a level comparable to other published transcript to proteome studies. Taken together, we demonstrate that the SomaScan platform is a technically reproducible system suitable for biomedical and clinical applications that reliably illuminates underlying biomolecular mechanisms.

systems biology↗