Biology subjects

Tong, W.

Publications and source records attributed to Tong, W..

At least 19 recordsLinked to original sources

bioRxiv2026

Legacy Effects of Early β-Adrenergic Stimulation Program Adipose Plasticity and Confer Metabolic Resilience in Obesity

Pathologic white adipose tissue (WAT) remodeling, characterized by fibrosis, inflammation, and adipocyte dysfunction, is a hallmark and driver of metabolic disease in obesity1. Here, we show that legacy effects of early physiological or pharmacological interventions driving adaptive adipose remodeling can mitigate maladaptive WAT remodeling and metabolic dysfunction when developing obesity later in life. Cold exposure or {beta}3-adrenergic receptor ({beta}3AR) agonism (CL316,243) induced thermogenic remodeling of WAT in male mice. After a prolonged recovery at room temperature, trained epididymal WAT reverted to an energy-storing state but retained a population of adipocytes resembling "metabolically flexible" visceral adipocytes found in human metabolically healthy obesity. The legacy of the antecedent treatment conferred lasting protection against glucose intolerance when later developing high fat diet (HFD)-induced obesity, with insulin sensitivity persisting for at least 20 weeks of overnutrition. This metabolic resilience was accompanied by healthy epididymal WAT expansion with reduced fibrosis and inflammation. Our findings demonstrate that short-term interventions, without genetic manipulation, can "train" adipose tissue, enhancing its long-term plasticity and conferring durable protection against future obesity-associated insulin resistance.

physiology↗

bioRxiv2026

Molecular basis of mitochondrial leucine transport by human Sideroflexin 1

Leucine is a central nutrient signal and a ketogenic amino acid that fuels metabolism, yet how it is imported into mitochondria remains incompletely defined. Sideroflexins are conserved inner mitochondrial membrane proteins implicated in amino acid transport, but their mechanism and substrate specificity remain unclear. Using cryogenic electron microscopy, we determined the structure of SFXN1 in its matrix-open conformation. AlphaFold and Boltz co-folding of SFXN1 with a library of human metabolites identified leucine as a candidate substrate, findings supported by thermal stability measurements and mitochondrial transport assays. Comparison with a cytoplasmic-open-model reveals an alternating-access "toggle-switch" mechanism of transport. Together, these findings uncover the molecular basis of leucine transport by SFXN1 and provide a framework for understanding its role in metabolism and disease.

Molecular Biology↗

bioRxiv2026

PITPβ Drives JAK2 V617F-Mediated Myeloproliferative Neoplasms by Promoting PtdIns(3,4)P2-Dependent AKT Hyperactivation

JAK2 is a key regulator of cytokine-mediated proliferative signaling in hematopoietic stem and progenitor cells. Activating mutations, most commonly JAK2 V617F, trigger aberrant cytokine signaling driving the pathogenesis of myeloproliferative neoplasms (MPNs). Phosphatidylinositol transfer proteins (PITPs) facilitate phosphoinositide synthesis by delivering phosphatidylinositol to lipid kinases, though their roles in oncogenic signaling have remained poorly defined. Here we show that PITP{beta} is critical for the development of JAK2V617F-driven MPN in mice. Deleting Pitp{beta} across the hematopoietic system, but not Pitp, prolonged 25-week survival of Jak2V617F mice from 10% to 85%. Loss of Pitp{beta} attenuated disease-associated splenomegaly and curtailed erythroid progenitors expansion both in vivo and in vitro. Mechanistically, PITP{beta} is necessary for AKT hyperactivation in hematopoietic progenitors, while STAT5 and ERK signaling remain unaffected. In alignment with this role, PITP{beta} promotes the production of PtdIns(3,4)P2, a phosphoinositide that sustains aberrant AKT signaling in Jak2V617F progenitors. Pharmacologic inhibition of AKT with the FDA-approved inhibitor capivasertib in Jak2V617F-transplanted mice similarly reduced splenomegaly and erythroid proliferation, mimicking the effects of Pitp{beta} loss. Collectively, these results identify a novel PITP{beta}-PtdIns(3,4)P2 signaling axis that selectively maintains pathological AKT activation in JAK2V617F-driven MPN, revealing a promising therapeutic vulnerability.

cancer biology↗

bioRxiv2026

ALKBH5 Promotes Hepatic Gluconeogenesis via m6A-mediated Stabilization of Ogt mRNA

Excessive hepatic glucose production is a hallmark of fasting hyperglycemia in type 2 diabetes mellitus, yet the epitranscriptomic mechanisms that sustain this dysregulation remain incompletely understood. Here, we show that dexamethasone/forskolin-induced gluconeogenic activation triggers widespread remodeling of RNA m6A methylation in mouse primary hepatocytes. Among the m6A regulators examined, the demethylase ALKBH5 is robustly induced both in vitro and in fasted livers. This induction is mediated by the glucocorticoid receptor, which binds to the Alkbh5 promoter and activates its transcription. Functionally, ALKBH5 overexpression enhances gluconeogenic gene expression and glucose production, whereas both global and hepatocyte-specific Alkbh5 knockout mice exhibit suppressed hepatic gluconeogenesis. Mechanistically, we identify Ogt as a primary downstream target, defining an ALKBH5-OGT epitranscriptomic axis in hepatocytes. ALKBH5 demethylates and stabilizes Ogt mRNA, thereby elevating OGT expression and promoting gluconeogenic gene expression. Consistently, the pro-gluconeogenic effects of ALKBH5 are largely abrogated by OGT knockdown. Finally, pharmacological inhibition of ALKBH5 with 18l effectively improves glucose tolerance and suppresses hepatic gluconeogenesis in both wild-type and db/db mice. Together, these findings reveal a glucocorticoid-responsive epitranscriptomic mechanism whereby ALKBH5 stabilizes Ogt mRNA to drive gluconeogenesis and highlight ALKBH5 as a promising therapeutic target for type 2 diabetes mellitus.

molecular biology↗

bioRxiv2026

Carbon Cybernetics Array: a miniaturized carbon-based microelectrode array for intracortical recording

Implantable brain-machine interfaces, capable of capturing high-resolution neural signals, hold great promise for treating neurological conditions and advancing neuroscience research. As the field moves toward chronic, fully implantable systems, ensuring the long-term safety and stability of the microelectrode arrays, the core component of these interfaces, remains a significant challenge. Hermetic sealing, which prevents moisture and contaminants from entering the device, is a critical yet often overlooked factor in array designs. This study reports the Carbon Cybernetics Array, a hermetically sealed, carbon-based microelectrode array for neural interfacing. Carbon fiber electrodes are anchored on a diamond substrate via a hermetic feedthrough structure, with hermeticity validated through helium leak testing. These ultrathin and flexible carbon fibers require minimal insertion force, cause little tissue damage after six months of implantation in rats and enable single-unit neural recordings. Furthermore, a low-cost, manually controllable insertion toolset is developed for precise array implantation in the sheep brain through a small burr hole, demonstrating a step toward clinical translation. Finally, the scalability of the fabrication approach is exemplified by arrays with over 1000 fibers. Together, this hermetically sealed feedthrough structure will lay the foundation for a future fully implantable device with wireless capabilities.

bioengineering↗

bioRxiv2025

Spatially precise neuron formation via hydrogel mediated modulation of the host astrocyte response

The regenerative capacity of the central nervous system after injury or disease is limited. Advancements in genetic and epigenetic reprogramming of non-neuronal cells into induced neurons presents a promising strategy for neuronal replacement and circuit reconstruction yet is hindered by suboptimal reprogramming efficacy. Here, we have achieved high astrocyte-to-neuron reprogramming efficacy through the ectopic expression of a SOX2 transcription factor using adeno-associated viral vectors. We subsequently designed a hybrid composite biomaterial to act as an implantable reprogramming workshop that perform sequential operations. Once injected, this bespoke system forms a tissue mimetic hydrogel encouraging the ingress of astrocytes to act as our raw material. We demonstrate that the system localized and enhanced the spatially confined delivery of reprogramming factors, entrapping astrocytes to then pass through an intermediate neuroblast state to robustly yield mature neurons. Sustained delivery of valproic acid within the system further promoted neuronal maturation. Overall, using design rules informed by requirements of the reprogramming strategy, we have designed a smart delivery system optimized for both the target tissue and reprogramming factors in a minimally invasive manner to enhance neural repair. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=163 HEIGHT=200 SRC="FIGDIR/small/695501v1_ufig1.gif" ALT="Figure 1"> View larger version (65K): org.highwire.dtl.DTLVardef@397e41org.highwire.dtl.DTLVardef@90047forg.highwire.dtl.DTLVardef@1175831org.highwire.dtl.DTLVardef@19f30eb_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioengineering↗

bioRxiv2025

Perturbational single-cell profiling of patient tumors defines lineage- and context-specific programs of innate immune resistance

AbstractDespite promise in preclinical models, most immuno-oncology drug candidates fail in clinical trials. These failures reflect limitations in our ability to directly model the response of human tumor and immune cells to immunotherapies. To address this gap and test the effect of innate immune agonists, we developed PERCEPT, an approach that uses ex vivo perturbational single-cell RNA sequencing to compare the response of immunomodulatory treatments with unstimulated controls directly in patient samples. Using PERCEPT, we tested cytokines and innate immune agonists in melanoma and Merkel cell carcinoma (MCC) and identified the dsRNA mimetic, RIG-I agonist, Stem Loop RNA (SLR) 14 as a powerful inducer of anti-viral states and enhancer of T cell activation. We compared transcriptional responder and non-responder patient samples and identified midkine (MDK), a multifunctional cytokine, as a potent repressor of IFN signaling in both tumor and immune cells. MDK expression dampened MHC-I presentation in human tumor cells and reduced activation of antigen-presenting cells, disrupting tumor immunity at multiple levels. In contrast to prior studies, we identified MDK as specifically enriched in neuroendocrine cancers such as MCC and small cell lung cancer compared with melanoma, suggesting the importance of lineage- and context-specific targeting. Our results demonstrate the utility of high-dimensional controlled perturbation of patient samples to identify mechanisms of innate immune response and resistance and demonstrate an actionable path towards clinical development of MDK-inhibiting therapies including FDA-approved ALK inhibitors in neuroendocrine cancers.

cancer biology↗

bioRxiv2024

Platelets are Protective in Early Abdominal Aortic Aneurysm Formation

BackgroundAbdominal aortic aneurysm (AAA) is a disease associated with the pathophysiologic degradation of the tunica media resulting in aortic dilatation, systemic inflammation, and dysregulated hemostasis. Beyond role its role in initiating primary hemostasis, platelets are a source of ROS, inflammatory cytokines and growth factors necessary for angiogenesis and vascular remodeling. Although platelets contribute to the progression of established aneurysms, their role in the initiation of AAA remains undefined. MethodsLow density lipoprotein receptor deficient (Ldlr-/-) mice were examined for platelet accumulation in the angiotensin II (AngII) model of AAA utilizing in vivo labeling techniques. Two platelet antagonists (clopidogrel and aspirin), a thrombin inhibitor (dabigatran) or genetic deficiencies (protease-activated receptor 4, P2Y12, Lnk) were administered to AngII-infused mice to determine the role of platelets in initiation of AAA. The effect of platelet depletion was examined in multiple mouse strains of AngII-induced AAA and two additional aneurysm models. PheWAS and meta-analysis was analyzed in humans for platelet gene SNPs associated with AAA. ResultsWe show that platelets are recruited rapidly to the aorta after the initiation of AngII infusion. Genetic deficiency of platelet receptors had no effect on abdominal aortic diameter, but augmented rupture-induced death in littermate versus placebo controls during AngII-induced AAA. Moreover, Ldlr-/- mice receiving anti-platelet inhibitors or a thrombin inhibitor also had augmented rupture-induced death. Platelet depletion preceding aneurysm formation resulted in pervasive rupture-induced death in several mouse strains and with three different mouse models of AAA. ConclusionsInhibition of platelet function is detrimental in an early expanding aortic lumen resulting in catastrophic rupture and hemodynamic failure in murine AAA models.

pathology↗

bioRxiv2024

Bidirectional Translation of Transcriptomic Profiles between Liver and Kidney under Drug Treatment Using Generative Adversarial Networks (GANs)

Translational research in toxicology has significantly benefited from transcriptomic profiling, particularly in drug safety. However, its application has predominantly focused on limited organs, notably the liver, due to resource constraints. This paper presents TransTox, an innovative AI model using a Generative Adversarial Network (GAN) method to facilitate bidirectional translation of transcriptomic profiles between the liver and kidney under drug treatment. TransTox demonstrates robust performance, validated across independent datasets and laboratories. Firstly, the concordance between real experimental data and synthetic data generated by TransTox was demonstrated in characterizing toxicity mechanisms compared to real experimental settings. Secondly, TransTox proved valuable in gene expression predictive models, where synthetic data could be used to develop gene expression predictive models or serve as "digital twins" for diagnostic applications. The TransTox approach holds potential for multi-organ toxicity assessment with AI and advancing the field of precision toxicology.

bioinformatics↗

bioRxiv2024

Marine biofilms: cyanobacteria factories for the global oceans

Marine biofilms were newly revealed as a giant microbial diversity pool for global oceans. However, the cyanobacterial diversity in marine biofilms within the upper seawater column and its ecological and evolutionary implications remains undetermined. Here, we reconstructed a full picture of modern marine cyanobacteria habitats by re-analysing 9.3 terabyte metagenomic datasets and 2648 metagenome-assembled genomes (MAGs). The abundance of cyanobacteria lineages exclusively detected in marine biofilms were up to 9-fold higher than those in seawater at similar sample size. Analyses revealed that cyanobacteria in marine biofilms are specialists with strong geographical and environmental constraints on their genome and functional adaption, which in stark contrast to the generalistic features of seawater-derived cyanobacteria. Molecular dating suggests the important diversifications in biofilm-forming cyanobacteria appear to coincide with the Great Oxidation Event (GOE), "boring billion" middle Proterozoic, and the Neoproterozoic Oxidation Event (NOE). These new insights suggest that marine biofilms are large and important cyanobacterial factories for the global oceans. ImportanceCyanobacteria, highly diverse microbial organisms, play a crucial role in Earths oxygenation and biogeochemical cycling. However, their connection to these processes remains unclear, partly due to incomplete surveys of oceanic niches. Our study uncovered significant cyanobacterial diversity in marine biofilms, showing distinct niche differentiation compared to seawater counterparts. These patterns reflect three key stages of marine cyanobacterial diversification, coinciding with major geological events in Earths history. Thus, surface-associated biomass within oceanic niches emerges as a pivotal factor in Earths evolution.

microbiology↗

bioRxiv2023

Battery-Free Optoelectronic Patch for Photodynamic and Light Therapies in Treating Bacteria-Infected Wounds

Light therapy is an effective approach for the treatment of a variety of challenging dermatological conditions. In contrast to existing methods involving high doses and large areas of illumination, alternative strategies based on wearable designs that utilize a low light dose over an extended period provide a precise and convenient treatment. In this study, we present a battery-free, skin-integrated optoelectronic patch that incorporates a coil-powered circuit, an array of microscale violet and red light emitting diodes (LEDs), and polymer microneedles (MNs) loaded with 5-aminolevulinic acid (5-ALA). This polymer MNs, based on the biodegradable composite materials of polyvinyl alcohol (PVA) and hyaluronic acid (HA), serves as light waveguides for optical access and a medium for drug release into deeper skin layers. Unlike conventional clinical photomedical appliances with a rigid and fixed light source, this flexible design allows for a conformable light source that can be applied directly to the skin. In animal models with bacterial-infected wounds, the experimental group with the combination treatment of metronomic photodynamic and light therapies reduced 2.48 log10 CFU mL-1 in bactericidal level compared to the control group, indicating an effective anti-infective response. Furthermore, post-treatment analysis revealed the activation of proregenerative genes in monocyte and macrophage cell populations, suggesting enhanced tissue regeneration, neovascularization, and dermal recovery. Overall, this optoelectronic patch design broadens the scope for targeting deep skin lesions, and provides an alternative with the functionality of standard clinical light therapy methods.

bioengineering↗

bioRxiv2023

DICTrank: The largest reference list of 1318 human drugs ranked by risk of drug-induced cardiotoxicity using FDA labeling

Drug-induced cardiotoxicity (DICT) is one of the leading causes of drug attrition in clinical trials or withdrawal from the market. Many studies have been conducted to detect DICT in the early stage of drug development and clinical diagnosis, but the success is limited, as evident by the high attrition rate at all clinical phases due to DICT. Most of these efforts, if not all, have focused on specific adverse events and/or mechanisms associated with DICT, such as QT prolongation and hERG-related cardiotoxicity. However, given the broad spectrum of cardiotoxicity, it is necessary to develop a reference drug list with a systematic annotation of DICT potential across a large number of drugs and drug classes. Such a list is essential for developing effective DICT diagnostic biomarkers and early prediction strategies using new approach methods (NAMs), including artificial intelligence (AI). By utilizing labeling documents for FDA (U.S. Food and Drug Administration)-approved drugs, we developed a drug classification scheme to prioritize drugs based on their DICT potential. This resulted in DICTrank, which is the largest dataset of drugs annotated with ranked DICT risk in humans. DICTrank categorizes drugs into four categories of DICT concerns by integrating DICT severity and labeling content. The dataset consists of 1318 drugs, classified as follows: Most-DICT-Concern (341), Less-DICT-Concern (528), No-DICT-Concern (343), and Ambiguous-DICT-Concern (106; lacking sufficient information in the labeling document to determine cardiotoxicity potential). DICTrank covers a wide range of drug therapeutic categories. Using this extensive DICT dataset, we discovered that several therapeutic categories were significantly enriched with drugs of Most-DICT-Concern as well as the association of daily dose with drug class. These categories include antineoplastic agents, sex hormones and modulators of the genital system, anti-inflammatory and antirheumatic products, beta-blocking agents, and cardiac therapy. DICTrank represents the largest drug list for DICT to date, and it could contribute to the development of NAMs and AI models for the early identification of DICT risk during drug development and beyond.

pharmacology and toxicology↗

bioRxiv2023

Metformin Impairs Intestinal Fructose Metabolism

ObjectiveTo investigate the effects of metformin on intestinal carbohydrate metabolism in vivo. Method: Male mice preconditioned with a high-fat, high-sucrose diet were treated orally with metformin or a control solution for two weeks. Fructose metabolism, glucose production from fructose, and production of other fructose-derived metabolites were assessed using stably labeled fructose as a tracer. ResultsMetformin treatment decreased intestinal glucose levels and reduced incorporation of fructose-derived metabolites into glucose. This was associated with decreased intestinal fructose metabolism as indicated by decreased enterocyte F1P levels and diminished labeling of fructose-derived metabolites. Metformin also reduced fructose delivery to the liver. Proteomic analysis revealed that metformin coordinately down-regulated proteins involved carbohydrate metabolism including those involved in fructolysis and glucose production within intestinal tissue. ConclusionMetformin reduces intestinal fructose metabolism, and this is associated with broad-based changes in intestinal enzyme and protein levels involved in sugar metabolism indicating that metformins effects on sugar metabolism are pleiotropic. HighlightsO_LIMetformin decreases intestinal fructose absorption, metabolism, and fructose delivery to the liver. C_LIO_LIMetformin reduces intestinal glucose production from fructose-derived metabolites. C_LIO_LIMetformin reduces protein levels of multiple metabolic enzymes involved in fructose and glucose metabolism in intestinal tissue. C_LI

physiology↗

bioRxiv2023

AnimalGAN: A Generative Adversarial Network Model Alternative to Animal Studies for Clinical Pathology Assessment

Animal studies are unavoidable in evaluating chemical and drug safety. Generative Adversarial Networks (GANs) can generate synthetic animal data by learning from the legacy animal study results, thus serving as an alternative approach to assess untested chemicals. AnimalGAN, a GAN method to simulate 38 rat clinical pathology measures, was developed with significant robustness even for the drugs that vary significantly from these used during training, both in terms of chemical structure, drug class, and the year of FDA approval. AnimalGAN showed a comparable performance in hepatotoxicity assessment as animal studies and outperformed the optimal prediction of 12 traditional regression approaches for almost all clinical pathology measures. Using AnimalGAN, a virtual experiment of 100,000 rats ranked hepatotoxicity of three similar drugs that correlated with the findings in human population. AnimalGAN represented a significant step with artificial intelligence towards the global effort in replacement, reduction, and refinement (3Rs) of animal use.

bioinformatics↗

bioRxiv2023

Evolution of horn length and lifting strength in the Japanese rhinoceros beetle Trypoxylus dichotomus

Rhinoceros beetle (Trypoxylus dichotomus) males have pitchfork-shaped head horns, which they use to pry rival males from the trunks of trees. In the largest males these horns can be three times the length of horns in the two closest sister species. Because this weapon functions as a lever, longer horns should lift with less force than shorter horns (the paradox of the weakening combatant) unless other elements of the weapon system (e.g., input lever length, muscle mass) evolve to compensate. We used next-generation sequencing approaches to consolidate 23 sample locations into 8 genetically distinguishable populations, reconstructing their historical relationships and providing a comprehensive picture of the evolution of this horn lever system. We show that head horns likely increased in length independently in the Northern and Southern lineages. In both instances this resulted in weaker lifting forces, but this mechanical disadvantage was later ameliorated, to some extent and in some locations, by subsequent reductions to horn length, changes in muscle size, or by an increase in input lever length (head height). Our results reveal an exciting geographic mosaic of differences in weapon size, weapon force, and in the extent and nature of mechanical compensation. Reconstructing the evolution of this weapon system offers critical insights towards meaningfully linking mating system dynamics, selection patterns, and diversity in sexually selected traits.

evolutionary biology↗

bioRxiv2023

RUNX1 is required in granulocyte-monocyte progenitors to attenuate inflammatory cytokine production by neutrophils

The transcription factor RUNX1 is mutated in familial platelet disorder with associated myeloid malignancies (FPDMM) and in sporadic myelodysplastic syndrome and leukemia. RUNX1 regulates inflammation in multiple cell types. Here we show that RUNX1 is required in granulocyte-monocyte progenitors (GMPs) to restrict the inflammatory response of neutrophils to toll-like receptor 4 (TLR4) signaling. Loss of RUNX1 in GMPs increased the TLR4 coreceptor CD14 on neutrophils, which contributed to neutrophils increased inflammatory cytokine production in response to the TLR4 ligand lipopolysaccharide. RUNX1 loss increased the chromatin accessibility of retrotransposons in GMPs and neutrophils and induced a type I interferon signature characterized by enriched footprints for signal transducer and activator of transcription (STAT1::STAT2) and interferon regulatory factors (IRF) in opened chromatin, and increased expression of interferon-stimulated genes. The overproduction of inflammatory cytokines by neutrophils was reversed by inhibitors of type I IFN signaling. We conclude that RUNX1 restrains the chromatin accessibility of retrotransposons in GMPs and neutrophils, and that loss of RUNX1 increases proinflammatory cytokine production by elevating tonic type I interferon signaling.

developmental biology↗

bioRxiv2022

PTHrP buffers Wnt/Beta-catenin activity through a negative feedback loop to maintain articular cartilage homeostasis

Osteoarthritis (OA) is the most common joint disease worldwide and a leading cause of disability. The Wnt/{beta}-catenin cascade is essential in articular cartilage development and homeostasis. It has proved that both overexpression and loss of {beta}-catenin lead to cartilage degeneration and OA symptoms. However, the mechanism of Wnt/{beta}-catenin balance in healthy cartilage remains unclear. In the present work, we confirmed that the Wnt/{beta}-catenin activation and PTHrP suppression in cartilage during the post-traumatic OA process. Then, we demonstrated that Wnt/{beta}-catenin upregulated PTHrP expression through binding to its promoter (P2), and induce mRNA (AT6) transcript expression, while PTHrP repressed Wnt/{beta}-catenin activity, and formed a Wnt/{beta}-catenin-PTHrP negative feedback loop in the very primary chondrocytes to maintain cartilage homeostasis. However, this negative feedback loop vanished in dedifferentiated chondrocytes, hypertrophic chondrocytes, and IL-1{beta} treated very primary chondrocytes. We further found that miR-106b-5p was increased in these "aberrant" chondrocytes and directly targeted PTHrP mRNA to abolish the feedback loop. PKC-{zeta} was activated by PTHrP through phosphorylation at Thr410/403, and subsequently induced {beta}-catenin phosphorylation and ubiquitination. Finally, we disclosed that exogenous PTHrP attenuated OA progression exogenous PTHrP attenuated OA progression. Together, these findings reveal that PTHrP is a vital mediator to keep Wnt/{beta}-catenin activity homeostasis in healthy cartilage through a negative feedback loop, and PTHrP might be a therapeutic target for OA and cartilage regeneration.

pathology↗

bioRxiv2022

Ratio-based quantitative multiomics profiling using universal reference materials empowers data integration

Multiomics profiling is a powerful tool to characterize the same samples with complementary features orchestrating the genome, epigenome, transcriptome, proteome, and metabolome. However, the lack of ground truth hampers the objective assessment of and subsequent choice from a plethora of measurement and computational methods aiming to integrate diverse and often enigmatically incomparable omics datasets. Here we establish and characterize the first suites of publicly available multiomics reference materials of matched DNA, RNA, proteins, and metabolites derived from immortalized cell lines from a family quartet of parents and monozygotic twin daughters, providing built-in truth defined by family relationship and the central dogma. We demonstrate that the "ratio"-based omics profiling data, i.e., by scaling the absolute feature values of a study sample relative to those of a concurrently measured universal reference sample, were inherently much more reproducible and comparable across batches, labs, platforms, and omics types, thus empower the horizontal (within-omics) and vertical (cross-omics) data integration in multiomics studies. Our study identifies "absolute" feature quantitation as the root cause of irreproducibility in multiomics measurement and data integration, and urges a paradigm shift from "absolute" to "ratio"-based multiomics profiling with universal reference materials.

systems biology↗