Biology subjects

Zhao, C.

Publications and source records attributed to Zhao, C..

At least 307 records · Page 17Linked to original sources

bioRxiv2019

Molecular Mechanism of Brassinosteroids Perception by the Plant Growth Receptor BRI1

Brassinosteroids (BRs) are essential phytohormones which bind to the plant receptor, BRI1, to regulate various physiological processes. The molecular mechanism of the perception of BRs by the ectodomain of BRI1 remains not fully understood. It also remains elusive why a substantial difference in biological activity exists between the BRs. In this work, we study the binding mechanisms of the two most bioactive BRs, brassinolide (BLD) and castasterone (CAT) using molecular dynamics simulations. We report free energy landscapes of the binding processes of both ligands as well as detailed ligand binding pathways. Our results suggest that CAT has lower binding affinity compared to BLD due to its inability to form hydrogen bonding interactions with a tyrosine residue in the island domain of BRI1. We uncover a conserved non-productive binding state for both BLD and CAT, which is more stable for CAT and may further contribute to the bioactivity difference. Finally, we validate past observations about the conformational restructuring and ordering of the island domain upon BLD binding. Overall, this study provides new insights into the fundamental mechanism of the perception of two most bioactive BRs, which may create new avenues for genetic and agrochemical control of their signaling cascade.

plant biology↗

bioRxiv2019

Both Determinants of Allosteric and Active Sites Responsible for Catalytic Activity of Delta 12 Fatty Acid Desaturase by Domain Swapping

Cheese lacks essential fatty acids (EFAs). Delta 12 fatty acid desaturase (FADS12) is a critical enzyme required for EFA biosynthesis in fermentation of the predominant strains of cheese. Previously, we identified the FADS12 gene and characterized its function for the first time in Geotrichum candidum, a dominant strain used to manufacture soft cheese with white rind. In this study, we analyzed the molecular mechanism of FADS12 function by swapping domains from Mortierella alpina and G. candidum that had, respectively, high and low oleic acid conversion rates. The results revealed three regions that are essential to this process, including regions from the end of the second transmembrane domain to the beginning of the third transmembrane domain, from the end of the third transmembrane domain to the beginning of the fourth transmembrane domain, and from the 30-amino acid from the end of the sixth transmembrane domain to the C-terminal end region. Based on our domain swapping analyses, nine pairs of amino acids including H112, S118, H156, Q161, K301, R306, E307, A309 and S323 in MaFADS12 (K123, A129, N167, M172, T302, D307, I308, E310 and D324 in GcFADS12) were identified as having a significantly effect on FADS12 catalytic efficiency, and linoleic acid and its analogues (12,13-cyclopropenoid fatty acid) were found to inhibit the catalytic activity of FADS12 and related recombinant enzymes. Furthermore, the molecular mechanism of FADS12 inhibition was analyzed. The results revealed two allosteric domains, including one domain from the N-terminal region to the beginning of the first transmembrane domain and another from the 31st amino acid from the end of the sixth transmembrane domain to the C terminus. Y4 and F398 amino acid residues from MaFADS12 and eight pairs of amino acids including G56, L60, L344, G10, Q13, S24, K326 and L344 in MaFADS12 (while Y66, F70, F345, F20, Y23, Y34, F327 and F345 in GcFADS12) played a pivotal role in FADS12 inhibition. Finally, we found that both allosteric and active sites were responsible for the catalytic activity of FADS12 at various temperatures, pH, and times. This study offers a solid theoretical basis to develop preconditioning methods to increase the rate at which GcFADS12 converts oleic and linoleic acids to produce higher levels of EFAs in cheese.

molecular biology↗

bioRxiv2019

Nutritional signals rapidly activate oligodendrocyte differentiation in the adult hypothalamic median eminence

The mediobasal hypothalamus (arcuate nucleus - ARC - and median eminence - ME -) controls energy balance, growth and fertility through its ability to integrate neuronal, nutritional and hormonal signals and coordinate the behavioural, neuroendocrine and metabolic responses required for these functions. While our understanding of the neural circuits downstream from ARC neurons is rapidly progressing, little is known about the function of other cell types. Here we describe an unexpected role for oligodendrocytes (OL) of the ME in monitoring nutritional signals. We show that refeeding following an overnight fast rapidly activates oligodendrocyte differentiation and the production of new OL in the ME specifically. No changes in myelination were measured in this time-frame. However, refeeding changed the expression of OL-derived extracellular matrix proteins decorin and tenascin-R, with consistent changes in the density of local perineuronal nets. Last, we show that OLs use mTORC1 signalling, a pathway required for OL differentiation, to survey energy and protein availability, specifically in the ME. We conclude that new oligodendrocytes formed in the ME in response to nutritional signals control the access of circulating metabolic cues to ARC interoceptive neurons.

neuroscience↗

bioRxiv2019

Regularized-Ncut: Robust and homogeneous functional parcellation of neonate and adult brain networks

Brain network parcellation based on resting-state functional MRI (rs-fMRI) is affected by noise, resulting in spurious small patches and decreased functional homogeneity within each network. Robust and homogeneous parcellation of neonate brain is more difficult with neonate rs-fMRI associated with higher level of noise and no functional atlas as spatial constraints. To meet these challenges, we developed a novel data-driven Regularized Normalized-cut (RNcut) method. RNcut is formulated by adding two regularization terms, a smoothing term using Markov random fields and a small-patch removal term, to conventional normalized-cut (Ncut) method. The RNcut and competing methods were tested with simulated datasets with known ground truth and then applied to both adult and neonate rs-fMRI datasets. Based on the parcellated networks generated by RNcut, intra-network connectivity was quantified. The test results from simulated datasets demonstrated that the RNcut method is more robust (p<0.01) to noise and can delineate parcellated functional networks with significantly better (p<0.01) spatial contiguity and significantly higher (p<0.01) functional homogeneity than competing methods. Application of RNcut to neonate and adult rs-fMRI dataset revealed distinctive functional brain organization of neonate brains from that of adult brains. Collectively, we developed a novel data-driven RNcut method by integrating conventional Ncut with two regularization terms, generating robust and homogeneous functional parcellation without imposing spatial constraints. A broad range of brain network applications and analyses, especially exploratory investigations of parcellating neonate and infant brain with noisy dataset, can potentially benefit from this RNcut method.

neuroscience↗

bioRxiv2019

Mutant GT198 in angiogenesis as a common origin of human prostate and bladder cancers

Prostate and bladder cancers are common cancers in men. It has been speculated that the high concomitant incidence of the two cancers is due to a potential shared cause underlying both cancers. In this report, we have identified a common cause of human prostate and bladder cancers as the mutant oncoprotein GT198 (PSMC3IP). GT198 is a DNA repair factor and a steroid hormone receptor coactivator. GT198 has been previously shown to be mutated in angiogenic pericyte stem cells in solid tumor microenvironment. GT198 is also a direct protein target of chemo drugs paclitaxel and doxorubicin. Here we show, the GT198 gene is mutated with protein overexpression in tumor stroma of human prostate and bladder cancers. Affected stromal cells include angiogenic blood vessel pericyte stem cells, and vascular smooth muscle cell lineages including myofibroblasts in prostate and smooth muscle cells in bladder. In prostate cancers, GT198+ tumor stromal cells are associated with early stages of cancer with lower Gleason scores. In bladder cancers, the presence of angiogenesis and GT198+ stroma are associated with better progression-free survival in docetaxel-treated patients. Together, our evidence suggests that angiogenic pericyte stem cells are initial lesions producing a mutant stroma carrying GT198 somatic mutations. Subsequently, mutant myofibroblasts promote adenocarcinomas in prostate and mutant smooth muscle cells promote urothelial carcinomas in bladder. Chemo drugs targeting to GT198 is more effective in early stages of cancers with GT198+ stromal cells. This study supports oncoprotein GT198 as a common cause and a drug target in human prostate and bladder cancers.

pathology↗

bioRxiv2019

Molecular Basis of the Activation and Dissociation of Dimeric PYL2 Receptor in Abscisic Acid Signaling

Phytohormone abscisic acid (ABA) is essential for plant responses to biotic and abiotic stresses. Dimeric receptors are a class of ABA receptors that are important for various ABA responses. While extensive experimental and computational studies have investigated these receptors, it remains not fully understood how ABA leads to their activation and dissociation for interaction with downstream phosphatase. Here, we study the activation and the homodimeric association processes of PYL2 receptor as well as its heterodimeric association with the phosphatase HAB1 using molecular dynamics simulations. Free energy landscapes from ~223 s simulations show that dimerization substantially constrains PYL2 conformational plasticity and stabilizes inactive state, resulting in lower ABA affinity. Also, we establish the thermodynamic model for competitive binding between homodimeric PYL2 association and heterodimeric PYL2-HAB1 association in the absence and presence of ABA. Our results suggest that the binding of ABA destabilizes PYL2 complex and further stabilizes PYL2-HAB1 association, thereby promoting PYL2 dissociation. Overall, this study explains several key aspects on activation of dimeric ABA receptors, which provide new avenues for selective regulation of these receptors.

plant biology↗

bioRxiv2019

DeepHiC: A Generative Adversarial Network for Enhancing Hi-C Data Resolution

Hi-C is commonly used to study three-dimensional genome organization. However, due to the high sequencing cost and technical constraints, the resolution of most Hi-C datasets is coarse, resulting in a loss of information and biological interpretability. Here we develop DeepHiC, a generative adversarial network, to predict high-resolution Hi-C contact maps from low-coverage sequencing data. We demonstrated that DeepHiC is capable of reproducing high-resolution Hi-C data from as few as 1% downsampled reads. Empowered by adversarial training, our method can restore fine-grained details similar to those in high-resolution Hi-C matrices, boosting accuracy in chromatin loops identification and TADs detection, and outperforms the state-of-the-art methods in accuracy of prediction. Finally, application of DeepHiC to Hi-C data on mouse embryonic development can facilitate chromatin loop detection with higher accuracy. We develop a web-based tool (DeepHiC, http://sysomics.com/deephic) that allows researchers to enhance their own Hi-C data with just a few clicks.\n\nAuthor summaryWe developed a novel method, DeepHiC, for enhancing Hi-C data resolution from low-coverage sequencing data using generative adversarial network. DeepHiC is capable of reproducing highresolution (10-kb) Hi-C data with high quality even using 1/100 downsampled reads. Our method outperforms the previous methods in Hi-C data resolution enhancement, boosting accuracy in chromatin loops identification and TADs detection. Application of DeepHiC on mouse embryonic development data shows that enhancements afforded by DeepHiC facilitates the chromatin loops identification of these data achieving higher accuracy. We also developed a user-friendly web server (http://sysomics.com/deephic) that allows researchers to enhance their own low-resolution Hi-C data (40kb-1 Mb) with just few clicks.

bioinformatics↗

bioRxiv2019

Multiple Measures Reveal The Value of Both Race And Geographic Ancestry For Self-Identification

There is long-standing tension regarding whether and how to use race or geographic ancestry in biomedical research. We examined multiple self-reported measures of race and ancestry from a cohort of over 100,000 U.S. residents alongside genetic data. We found that these measures are often non-overlapping, and that no single self-reported measure alone provides a better fit to genetic ancestry than a combination including both race and geographic ancestry. We also found that patterns of reporting for race and ancestry appear to be influenced by participation in direct-to-consumer genetic ancestry testing. Our results demonstrate that there is a place for the language of both race and geographic ancestry as we seek to empower individuals to fully describe their family history in research and medicine.\n\nOne Sentence SummarySelf-identification in the United States according to both racial and geographic terms best reflects genetic ancestry in individuals.

genetics↗

bioRxiv2019

Degradation of miR-466d-3p by JEV NS3 facilitates viral replication and IL-1β expression

Previous studies revealed that Japanese encephalitis virus (JEV) infection alters the expression of miRNA in central nervous system (CNS). However, the mechanism of JEV infection contributes to the regulation of miRNAs in CNS remain obscure. Here, we found that a global degradation of mature miRNA in mouse brain and neuroblastoma cells after JEV infection. In additional, the integrative analysis of miRNAs and mRNAs suggests that those down-regulated miRNAs are primarily targeted inflammation genes and the miR-466d-3p target the IL-1{beta} which in the middle of those inflammation genes. Transfection of miR-466d-3p decreased the IL-1{beta} expression and inhibited the JEV replication in NA cells. Interestingly, the miR-466d-3p level increased after JEV infection in the presence of cycloheximide, which indicated that viral protein expression reduces miR-466d-3p. Therefore, we generated all the JEV coding protein and demonstrated that NS3 is a potent miRNA suppressor. Furthermore, the NS3 of ZIKA virus, WNV, DENV1 and DENV2 also decreased the expression of miR-466d-3p. The in vitro unwinding assay demonstrated that the NS3 could unwind the pre-miR-466d and induce the disfunction of miRNA. Using computational models and RNA immunoprecipitation assay, we found that arginine-rich domains of NS3 are critical for pre-miRNA binding and the degradation of host miRNAs. Importantly, site-directed mutagenesis of conserved residues revealed that R226G and R202W significantly reduced the binding affinity and degradation of pre-miR-466d. Together, these results extend the helicase of Flavivirus function beyond unwinding duplex RNA to the decay of pre-miRNAs, which provides a new mechanism of NS3 in regulating miRNA pathways and promoting the neuroinflammation.\n\nAuthor SummaryHost miRNAs had been reported to regulate JEV induced inflammation in central nervous system. We found that the NS3 of JEV can reduce most of host miRNA expression. The helicase region of the NS3 specifically binds to precursors of miRNA and lead to incorrect unwinding of precursors of miRNAs which inhibits the function of miRNAs. This observation leads to two major findings. First, we identified the miR-466d-3p targets to the host IL-1{beta} and E protein of JEV, and NS3 degrades the miR-466d-3p to promote the brain inflammation and viral replication. Second, we proved that the arginine on the helicase of NS3 is the main miRNA binding sites, and the miRNA degradation by NS3 was abolished when the R226 and R202 were mutated on the NS3. These findings were also confirmed with NS3 of ZIKA virus, WNV and DENV which could decrease the expression level of miR-466d-3p to enhance the inflammation. Our study provides new insights into the molecular mechanism of encephalitis caused by JEV, and reveals several amino acid sites to further attenuate the JEV vaccine.

microbiology↗

bioRxiv2019

An improved plant toolset for high-throughput recombineering

Gene functional studies often rely on the expression of a gene of interest as transcriptional and translational fusions with specialized tags. Ideally, this is done in the native chromosomal contexts to avoid potential misexpression artifacts. Although recent improvements in genome editing make it possible to directly modify the target genes in their native chromosomal location, classical transgenesis is still the preferred experimental approach chosen in most gene tagging studies because of its time efficiency and accessibility. We have developed a recombineering-based tagging system that brings together the convenience of the classical transgenic approaches and the high degree of confidence in the obtained results provided by the direct chromosomal tagging achievable by genome editing strategies. These simple and customizable recombineering toolsets and protocols allow for high-throughput generation of a variety of genetic modifications. In addition, a highly efficient recombinase-mediated cassette exchange system has been developed to facilitate the transfer of the desired sequences from a BAC clone to a transformation-compatible binary vector, expanding the use of the recombineering approaches beyond Arabidopsis. The utility of this system is demonstrated by the generation of over 250 whole-gene translational fusions and 123 Arabidopsis transgenic lines corresponding to 62 auxin-related genes, and the characterization of the translational reporter expression patterns for 14 auxin biosynthesis genes.

plant biology↗

bioRxiv2019

Bipartite anchoring of SCREAM enforces stomatal initiation by coupling MAP Kinases to SPEECHLESS

Cell-fate in eukaryotes is regulated by MAP Kinases (MAPKs) that translate external cues to cellular responses. In plants, two MAPKs, MPK3/6, regulate diverse processes of development, environmental response, and immunity. Yet, the mechanism bridging these shared signaling components with a specific target remains unresolved. Focusing on the development of stomata, epidermal valves for gas exchange and transpiration, we report here that the bHLH protein SCREAM functions as a scaffold by recruiting MPK3/6 to downregulate SPEECHLESS, a transcription factor initiating stomatal cell lineages. SCREAM directly binds with MPK3/6 through an evolutionarily-conserved yet unconventional bipartite motif. Mutations in this motif abrogate association, phosphorylation and degradation of SCREAM, unmask hidden non-redundancies between MPK3 and MPK6, and result in uncontrolled stomatal differentiation. Structural analyses of MPK6 at the 2.75[A] resolution unraveled bipartite binding of SCREAM with MPK6, that is distinct from an upstream MAPKK. Our findings elucidate, at the atomic resolution, the mechanism directly linking extrinsic signals to transcriptional reprogramming during the establishment of stomatal cell-fate, and highlight a unique substrate-binding mode adopted by plant MAPKs.

plant biology↗

bioRxiv2019

DNA methylation, microRNA expression profiles and their relationships with transcriptome in grass-fed and grain-fed Angus Cattle rumen tissue

Rumen is a critical organ for supplying nutrients for the growth and production of bovine, which might function differently under grass-fed and grain-fed regimens considering the association of gene expression, DNA methylation, and microRNA expression. The objective of this study was to explore the potential mechanism influencing rumen function of grass-fed and grain-fed animals. Methylated DNA binding domain sequencing (MBD-Seq) and microRNA-Seq were respectively utilized to detect the DNA methylation and microRNA expression in rumen tissue of grass-fed and grain-fed Angus cattle. Integration analysis revealed that the expression of the differentially expressed genes ADAMTS3 and ENPP3 was correlated with the methylation abundance of the corresponding DMRs inside these two genes, and these two genes were reported to be respectively involved in biosynthesis and regulation of glycosyltransferase activity; the differentially expressed microRNA bta-mir-122 was predicted to possibly target the differentially expressed genes OCLN and RBM47, potentially affecting the rumen function; the microRNA bta-mir-655 was exclusively detected in grain-fed group; its targets were involved in the significantly enriched insulin and TGF-beta signaling pathways, which might worked together to regulate the function of rumen, resulting in different characteristics between grass-fed and grain-fed cattle. Collectively, our results provided insights into understanding the mechanisms determining rumen function and unraveled the biological basis underlying the economic traits to improve the productivity of animals.

genomics↗

bioRxiv2019

The microbiota regulates inflammatory responses to toxin-induced CNS demyelination but has minimal impact on remyelination

The microbiota is now recognised as a key influence on the host immune response in the central nervous system (CNS). As such, there has been some progress towards therapies that modulate the microbiota with the aim of limiting immune-mediated demyelination, as occurs in multiple sclerosis. However, remyelination - the regeneration of myelin sheaths - also depends upon an immune response, and the effects that such interventions might have on remyelination have not yet been explored. Here, we show that the inflammatory response during CNS remyelination in mice is modulated by antibiotic or probiotic treatment, as well as in germ-free mice. We also explore the effect of these changes on oligodendrocyte progenitor cell differentiation, which is inhibited by antibiotics but unaffected by our other interventions. These results reveal that high combined doses of oral antibiotics negatively influence remyelination and further our understanding of how mammalian regeneration relates to the microbiota.

neuroscience↗

bioRxiv2019

EK-DRD: a comprehensive database for drug repositioning inspired by experimental knowledge

SummaryDrug repositioning, or the identification of new indications for approved therapeutic drugs, has gained substantial traction with both academics and pharmaceutical companies because it reduces the cost and duration of the drug development pipeline and it reduces the likelihood of unforeseen adverse events. So far, there has not been a systematic effort to identify such opportunities, in part because of the lack of a comprehensive resource for an enormous amount of unsystematic drug repositioning information to support scientists who could benefit from this endeavor. To address this challenge, we developed a new database, Experimental Knowledge-Based Drug Repositioning Database (EK-DRD) by using text and data mining, as well as manual curation. EK-DRD contains experimentally validated drug repositioning annotation for 1861 FDA-approved and 102 withdrawn small molecule drugs. Annotation was done at four levels, using 70,212 target assay records, 3999 cell assay records, 585 organism assay records, and 8910 clinical trial records. Additionally, approximately 1799 repositioning protein or target sequences coupled with 856 related diseases and 1332 pathways are linked to the drug entries. Our web-based software displays a network for integrative relationships between drugs, their repositioning targets, and related diseases. The database is fully searchable and supports extensive text, sequence, chemical structure, and relational query searches.\n\nAvailabilityEK-DRD is freely available at http://www.idruglab.com/drd/index.php.\n\nContactlingwang@scut.edu.cn.

bioinformatics↗

bioRxiv2019

HybridMolDB: a manually curated database dedicated to hybrid molecules for chemical biology and drug discovery

SummaryHybrid molecule-based drug design is the combination of two or more pharmacophoric moieties from identical or non-identical bioactive molecules, or known identical or non-identical bioactive molecules, into a single chemical entity. This strategy may be used to achieve better affinity and efficacy, or improved properties compared to the parent molecules, to interact with two or multiple targets, to reduce undesirable side effects, to decrease drug-drug interactions or to reduce emergence of drug resistance. The approach offers the prospect of better drugs for the treatment of many human diseases. Research activity in this area is increasing and has attracted many practitioners worldwide. To accelerate the design and discovery of new hybrid molecule-based drugs, it is essential to properly collect and annotate experimental data obtained from known hybrid molecules. To address this need, we have developed HybridMolDB, a manually curated database dedicated to hybrid molecules for chemical biology and drug discovery. It contains structures, manually annotated design protocols, pharmacological data, some physicochemical, ligand efficiency, drug-likeness and ADMET characteristics, and the biological targets of known hybrid molecules. HybridMolDB supports a range of query types, including searches by extensive text, protein sequence, chemical structure similarity and property ranges.\n\nAvailabilityHybridMolDB is freely available at http://www.idruglab.com/HybridMolDB/index.php.\n\nContactlingwang@scut.edu.cn.

bioinformatics↗

bioRxiv2018

miRsponge: an R/Bioconductor package for the identification and analysis of miRNA sponge interaction networks and modules

BackgroundA microRNA (miRNA) sponge is an RNA molecule with multiple tandem miRNA response elements that can sequester miRNAs from their target mRNAs. Despite growing appreciation of the importance of miRNA sponges, our knowledge of their complex functions remains limited. Moreover, there is still a lack of miRNA sponge research tools that help researchers to quickly compare their proposed methods with other methods, apply existing methods to new datasets, or select appropriate methods for assisting in subsequent experimental design.\n\nResultsTo fill the gap, we present an R/Bioconductor package, miRsponge, for simplifying the procedure of identifying and analyzing miRNA sponge interaction networks and modules. It provides seven popular methods and an integrative method to identify miRNA sponge interactions. Moreover, it supports the validation of miRNA sponge interactions and the identification of miRNA sponge modules, as well as functional enrichment and survival analysis of miRNA sponge modules.\n\nConclusionsThis package enables researchers to quickly evaluate their new methods, apply existing methods to new datasets, and consequently speed up miRNA sponge research.

bioinformatics↗

bioRxiv2018

Time-resolved succession of epigenetic regulation during early mammalian development

During early mammalian embryonic development, different epigenetic mechanisms undergo dramatic changes; yet how these interconnected epigenetic layers function together to coordinate expression of the genetic code in a spatiotemporal manner remains unknown. Here, we describe a time-resolved study of the hierarchy of epigenetic marks and events, which we used to model transcriptional programs that cannot be understood by investigating steady state. We found that, following fertilization, the re-establishment of accessible chromatin together with transcription factors inherited from oocytes initiates transcription at the 2-cell stage, and then the introduction of active histone modification, H3K4me3, facilitates gene up-regulation at the 4-cell stage, then stabilization of higher-order chromatin structures at the 8-cell stage further enhances transcriptional activity. During the first lineage specification at ICM, transcription activity multifaceted regulation of epigenetic marks. Finally, we quantitatively model the stage succession of different epigenetic marks on transcriptional programs during early embryonic development.

bioinformatics↗

bioRxiv2018

Unilateral relapse of Behcet’s disease-associated uveitis does not appear to cause asymmetric tear protein profiles

Purpose: To explore whether unilateral relapse of Bechets disease uveitis (BDU) causes differences in the tear proteome between the diseased and the contralateral quiescent eye.\n\nExperimental design: To minimize interindividual variations, bilateral tear samples were collected from the same patient (n=15) with unilateral relapse of BDU. A data-independent acquisition (DIA) strategy was used to identify proteins that differed between active and quiescent eyes.\n\nResults: A total of 1,797 confident proteins were identified in the tear samples, of which 371 are also highly expressed in various tissues and organs. Sixty-two (3.5%) proteins differed in terms of expression between tears in active and quiescent eyes, similar to the number of differentially expressed proteins (74, 4.1%) identified in a randomized grouping strategy. Furthermore, the intrapair trend of the differentially expressed proteins was not consistent and none of the proteins showed the same trend in more than 9 pairs of eyes.\n\nConclusions and clinical relevance: Unilateral relapse of BDU does not appear to cause asymmetric changes in the tear proteome between active and contralateral quiescent eyes. Tear fluid is a valuable source for biomarker studies of systemic diseases.\n\nStatement of clinical relevanceTears are an easily, noninvasively accessible body fluid that is a valuable source of biomarkers for various diseases. Behcets disease uveitis (BDU) has high potential to cause blindness and represents the leading cause of morbidity in BD patients, especially in frequently relapsing cases. Here, we adopted a method combining a \"dry\" method for tear preservation and nano-LC-DIA-MS/MS system to explore whether unilateral relapse of BDU causes differences in the tear proteome between the diseased and the contralateral quiescent eye, with the aim of evaluating tear fluid as a source for biomarker studies of uveitis relapse.

molecular biology↗