Biology subjects

Han, J.

Publications and source records attributed to Han, J..

At least 217 records · Page 12Linked to original sources

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↗

bioRxiv2022

Identifying Patients with Cognitive Motor Dissociation Using Resting-state Temporal Stability

BackgroundUsing task-dependent neuroimaging techniques, recent studies discovered a fraction of patients with disorders of consciousness (DOC) who had no command-following behaviors but showed a clear sign of awareness, which was defined as cognitive motor dissociation (CMD). Although many efforts were made to identify the CMD, existing task-dependent approaches might fail when patients had multiple cognitive function (e.g., attention, memory) impairments, and thus lead to false-negative findings. However, recent advances in resting-state fMRI (rs-fMRI) analysis allow investigation of the dynamic change of spontaneous brain activity, which might be a powerful tool to test the patients cognitive functions, while its capacity in identifying CMD was unclear. MethodsThe rs-fMRI study included 119 participants from three independent research sites. A sliding-window approach was used to investigate the dynamic functional connectivity of the brain in two aspects: the global and regional temporal stability, which measures how stable the brain functional architecture is across time. The temporal stability was compared in the first dataset (36/16 DOC/controls), and then a Support Vector Machine (SVM) classifier was built to discriminate DOC patients from controls. Furthermore, the generalizability of the SVM classifier was tested in the second independent dataset (35/21 DOC/controls). Finally, the SVM classifier was applied to the third independent dataset where patients underwent an rs-fMRI and brain-computer interface assessment (4/7 CMD/potential non-CMD), to test its performance in identifying CMD. ResultsOur results showed that the global and regional temporal stability were impaired in DOC patients, especially in regions from the cingulo-opercular task control, default mode, fronto-parietal task control, and salience network. Using the temporal stability as features, the SVM model not only showed a good performance in the first dataset (accuracy = 90 %), but a good generalizability in the second dataset (accuracy = 82 %). Most importantly, the SVM model generalized well in identifying CMD in the third dataset (accuracy = 91 %). ConclusionThe current findings suggested that rs-fMRI could be a potential tool to assist in diagnosing CMD. Furthermore, the temporal stability investigated in this study also contributed to a deeper understanding of the neural mechanism of the consciousness.

neuroscience↗

bioRxiv2022

Novel husbandry practices result in rapid rates of growth and sexual maturation without impacting adult behavior in the blind Mexican cavefish.

The development of animal model systems is dependent on the standardization of husbandry protocols that increase fecundity and reduce generation time. The blind Mexican tetra, Astyanax mexicanus, is an emerging genetic vertebrate model for evolution and biomedical research. Surface and cave populations of A. mexicanus have independently evolved, providing a model system for studying the genetic basis of divergent biological traits. While a rapid increase in the use of A. mexicanus has led to the generation of genetic tools including gene-editing and transgenesis, a slow and inconsistent growth rate remains a major limitation to the expanded application of A. mexicanus. The optimization of husbandry protocols that maximizes high-nutrient feed, smaller tank densities and larger tank sizes across development, would facilitate faster growth and expand the use of this model. Here, we describe standardized husbandry practices that optimize growth through a high protein diet, increased feeding, growth sorting of larvae and juveniles, and tank size transitions based on standard length. These changes to husbandry had a significant effect on growth rates and decreased the age of sexual maturity in comparison to our previous protocols. To determine whether our nutritional change and increased feeding impacted behavior, we tested fish in exploration and schooling assays. We found that a change in diet had no effect on the behaviors we tested, suggesting that increased feeding and rapid growth will not impact the natural variation in behavioral traits. Taken together, this standardized husbandry protocol will accelerate the development of A. mexicanus as a genetic model.

evolutionary biology↗

bioRxiv2022

Ribosome-rescuer PELO catalyzes the oligomeric assembly of NLR family proteins via activating their ATPase

NOD-like receptors (NLRs) are pattern recognition receptors for diverse innate immune responses. Self-oligomerization after engagement with a ligand was a generally accepted model for the activation of each NLR. We report here that a catalyzer is required for the self-oligomerization. Protein pelota homolog (PELO, Dom34 in yeast), a well-known surveillance factor in translational quality control/ribosome rescue, interacts with all cytosolic NLRs and activates their ATPase. In the case of flagellin-initiated NLRC4 inflammasome activation, flagellin-bound NAIP5 recruits the first NLRC4 and then PELO is required for correctly assembling the rest of NLRC4s into the NLRC4 complex one by one by activating the NLRC4 ATPase. Stoichiometric and functional data revealed that PELO cannot be a structural constituent of NLRC4 inflammasome but a powerful catalyzer for its assembly. The catalytic role of PELO in the activation of cytosolic NLRs is unexpected and may break new ground for future studies of NLR family members.

immunology↗

bioRxiv2022

A novel porcine model of CLN3 Batten disease recapitulates clinical phenotypes

Mouse models of CLN3 Batten disease, a rare lysosomal storage disorder with no cure, have improved our understanding of CLN3 biology and therapeutics through their ease of use and a consistent display of cellular pathology. However, the translatability of murine models is limited by disparities in anatomy, body size, life span, and inconsistent, subtle behavior deficits that can be difficult to detect in CLN3 mutant mouse models, limiting their utility in preclinical studies. Here we present a longitudinal characterization of a novel miniswine model of CLN3 disease that recapitulates the most common human pathogenic variant, an exon 7-8 deletion (CLN3{Delta}ex7/8). Progressive pathology and neuron loss is observed in various regions of the CLN3{Delta}ex7/8 miniswine brain and retina. Additionally, mutant miniswine present with vision impairment and motor abnormalities, similar to deficits seen in human patients. Taken together, the CLN3{Delta}ex7/8 miniswine model shows consistent and progressive Batten disease pathology and behavioral impairment mirroring clinical presentation, demonstrating its value in studying the role of CLN3 and safety/efficacy of novel disease modifying therapeutics.

neuroscience↗

bioRxiv2022

ePlatypus: an ecosystem for computational analysis of immunogenomics data

The maturation of systems immunology methodologies requires novel and transparent computational frameworks capable of integrating diverse data modalities in a reproducible manner. Here, we present the ePlatypus computational immunology ecosystem for immunogenomics data analysis, with a focus on adaptive immune repertoires and single-cell sequencing. ePlatypus is a web-based platform and provides programming tutorials and an integrative database that elucidates selection patterns of adaptive immunity. Furthermore, the ecosystem links novel and established bioinformatics pipelines relevant for single-cell immune repertoires and other aspects of computational immunology such as predicting ligand-receptor interactions, structural modeling, simulations, machine learning, graph theory, pseudotime, spatial transcriptomics and phylogenetics. The ePlatypus ecosystem helps extract deeper insight in computational immunology and immunogenomics and promote open science. Accessibilityhttps://alexyermanos.github.io/Platypus/index.html

immunology↗

bioRxiv2022

Quartet RNA reference materials and ratio-based reference datasets for reliable transcriptomic profiling

As an indispensable tool for transcriptome-wide analysis of differential gene expression, RNA sequencing (RNAseq) has demonstrated great potential in clinical applications. However, the lack of multi-group RNA reference materials of biological relevance and the corresponding reference datasets for assessing the reliability of RNAseq hampers its wide clinical applications wherein the underlying biological differences among study groups are often small. As part of the Quartet Project for quality control and data integration of multiomic profiling, we established four RNA reference materials derived from immortalized B-lymphoblastoid cell lines from four members of a monozygotic twin family. Additionally, we constructed ratio-based transcriptome-wide reference datasets using multi-batch RNAseq datasets, providing "ground truth" for benchmarking. Moreover, Quartet-sample-based quality metrics were developed for assessing reliability of RNAseq technology in terms of intra-batch proficiency and cross-batch reproducibility. The small intrinsic biological differences among the Quartet samples enable sensitive assessment of performance of transcriptomic measurements. The Quartet RNA reference materials combined with the reference datasets can be served as unique resources for assessing data quality and improving reliability of transcriptomic profiling.

genetics↗

bioRxiv2022

Comprehensive structural analysis reveals broad-spectrum neutralizing antibodies against Omicron

The pandemic of COVID-19 caused by SARS-CoV-2 continues to spread around the world. Mutant strains of SARS-CoV-2 are constantly emerging. At present, Omicron variants have become mainstream. In this work, we carried out a systematic and comprehensive analysis of the reported spike protein antibodies, counting the antibodies epitopes and genotypes. We further comprehensively analyzed the impact of Omicron mutations on antibody epitopes and classified these antibodies according to their binding patterns. We found that the epitopes of one class of antibodies were significantly less affected by Omicron mutations than other classes. Binding and virus neutralization experiments show that such antibodies can effectively inhibit the immune escape of Omicron. Cryo-EM results show that this class of antibodies utilizes a conserved mechanism to neutralize SARS-CoV-2. Our results greatly help us deeply understand the impact of Omicron mutations. At the same time, it also provides guidance and insights for developing Omicron antibodies and vaccines.

microbiology↗

bioRxiv2022

Dear-DIAXMBD: deep autoencoder for data-independent acquisition proteomics

Data-independent acquisition (DIA) technology for protein identification from mass spectrometry and related algorithms is developing rapidly. The spectrum-centric analysis of DIA data without the use of spectra library from data-dependent acquisition (DDA) data represents a promising direction. In this paper, we proposed an untargeted analysis method, Dear-DIAXMBD, for direct analysis of DIA data. Dear-DIAXMBD first integrates the deep variational autoencoder and triplet loss to learn the representations of the extracted fragment ion chromatograms, then uses the k-means clustering algorithm to aggregate fragments with similar representations into the same classes, and finally establishes the inverted index tables to determine the precursors of fragment clusters between precursors and peptides, and between fragments and peptides. We show that Dear-DIAXMBD performs superiorly with the highly complicated DIA data of different species obtained by different instrument platforms. Dear-DIAXMBD is publicly available at https://github.com/jianweishuai/Dear-DIA-XMBD.

bioinformatics↗

bioRxiv2022

Comparative genomic analyses of Lactococcus garvieae isolated from bovine mastitis in China

Lactococcus garvieae is an emerging zoonotic pathogen, but there are few reports regarding bovine mastitis. The recent prevalence of L. garvieae poses an increasing disease threat and global public health risk. A total of 39 L. garvieae isolates were obtained from 2899 bovine clinical mastitis milk samples in 6 provinces of China from 2017 to 2021. Five clonal complexes were determined from 32 MLST types of L. garvieae; ST46 was the predominant sequence type and 13 novel MLST types were identified. All isolates were resistant to chloramphenicol and clindamycin, but susceptible to penicillin, ampicillin, amoxicillin-clavulanic acid, imipenem, ceftiofur, enrofloxacin, and marbofloxacin. Based on genomic analyses, L. garvieae had 6310 genes, including 1015, 3641 and 1654 core, accessory and unique genes. All isolates had virulence genes coding for collagenase, fibronectin-binding protein, Glyceraldehyde-3-phosphate dehydrogenase, superoxide dismutase and NADH oxidase. Most isolates had lsaD and mdtA AMR genes. Based on COG results, the functions of defense, transcription and replication, recombination and repair were enhanced in unique genes, whereas functions of translation, ribosomal structure and biogenesis were enhanced in core genes. The KEGG functional categories enriched in unique genes included human disease and membrane transport, whereas COG functional categories enriched in core genes included energy metabolism, nucleotide metabolism and translation. No gene was significantly associated with host specificity. In addition, core genome SNPs analysis suggested potential host adaptation of some isolates in several sequence types. Therefore, this study characterized L. garvieae isolated from mastitis and assessed host adaptation of L. garvieae to various hosts. IMPORTANCEThis study provides important insights on bovine mastitis key topic pathogen Lactococcus garvieae, which constitutes mastitis concerns. However, comprehensive genomic analyses of L. garvieae from dairy farms have not been performed. This study gives a detailed and comprehensive novel feature in L. garvieae, an important but poorly characterized bacterium, recovered in the past 5 years in 6 Chinese provinces. We documented diverse contributory genetic processes, including predominant sequence type ST46 and 13 novel MLST types. L. garvieae had 6310 genes, including 1015, 3641 and 1654 core, accessory and unique genes. All isolates had virulence genes coding for collagenase, fibronectin-binding protein, Glyceraldehyde-3-phosphate dehydrogenase, superoxide dismutase and NADH oxidase, and resistant to chloramphenicol and clindamycin. Most isolates had lsaD and mdtA antimicrobial resistance genes. No gene was significantly associated with host specificity. This is the first absolute quantification of L. garvieae isolated from mastitis and identified host adaptation of L. garvieae to various hosts.

microbiology↗

bioRxiv2022

Mechanistic basis for targeting homologous recombination defective liver cancer via synthetic lethality

Many cancers harbour homologous recombination defects (HRD). The identification of PARP inhibitors as synthetic lethal with HRD has led to new therapeutic strategies for HRD cancers. Here we report a subtype of HRD that is caused by the perturbation of a previously uncharacterised proteasome variant, CDW19S, in hepatitis virus B (HBV) positive hepatocellular carcinoma (HBVHCC). CDW19S contains the 19S complex decorated with a Cullin 4 ubiquitin ligase (CRL4WDR70) that is assembled at broken chromatin and regulates end processing nucleases. The HBV oncoprotein, HBx, prevents integration of the CRL4 backbone into CDW19S. We show that CDW19S directly ubiquitinates ADRM1Rpn13, targeting it for degradation, and that HBx interferes with this, leading to the imposition of a novel ADRM1Rpn13-dependent resection barrier that results in HRD and promotes carcinogenesis with concurrent TP53 loss. Using cellular and patient-derived xenograft models we demonstrate that HRD in HBVHCC can be exploited to restrict tumour progression. Our work clarifies the mechanism of a virally-induced HRD and suggests a new route for targeted HBVHCC therapy.

cancer biology↗

bioRxiv2022

Dehydration and infection elicit increased feeding in the western flower thrips, Frankliniella occidentalis, likely triggered by glycogen depletion

We examined water balance characteristics and influence of desiccating conditions on adult western flower thrips (Frankliniella occidentalis) physiology and behavior. Western flower thrips are globally invasive and likely to contend with shifts in water availability across their expansive geographic range. Basic water balance characteristics, including water mass and dry mass, were established for adult males and females, revealing a distinct sexual dimorphism wherein females are larger, but males retain a larger percentage of their mass as body water. Males lose relative water mass more quickly and their survival times are shorter when compared to females. RNA-seq analysis identified significant enrichment of factors associated with carbohydrate transport and metabolism in dehydrated males and females. A reduction of glycogen reserves was confirmed during dehydration. The probability of thrips feeding significantly increased when desiccation was a factor. Lastly, infection with Tomato spotted wilt orthotospovirus (TSWV), a principal plant-pathogenic virus transmitted by F. occidentalis, did not have a consistent and apparent influence on desiccation tolerance; however, a reduction in glycogen reserves, and an increase in feeding activity in infected thrips, very similar to that observed in dehydrated thrips, was observed. Our results establish the fundamental water balance characteristics of adult thrips, and indicate that dehydration significantly influences the survivorship and feeding behavior of thrips; crucial factors that contribute to their capacity to spread disease.

physiology↗

bioRxiv2022

Activating and repressing gene expression between chromosomes during stochastic fate specification

DNA elements act across long genomic distances to regulate gene expression in processes including enhancer-promoter interactions and imprinting. During the gene-regulatory phenomenon of transvection in Drosophila, DNA elements on one allele of a gene act between chromosomes to increase or decrease expression of another allele of the gene. Despite the discovery of transvection over 60 years ago, little is known about its biological role. Furthermore, how different cis regulatory DNA elements contribute to the activation or repression of transvection at distinct times during development is unclear. Here, we studied the stochastic expression of spineless (ss) in developing photoreceptors in the fly eye to understand gene activation and repression between chromosomes. We identified a biological role for transvection in regulating expression of naturally occurring ss alleles. We characterized CRISPR-engineered deletions of sequences across the ss locus and identified DNA elements required for activating and repressing transvection. We found that different enhancers participated in transvection at different times during development to promote gene expression and specify cell fates. Bringing a silencer element on a heterologous chromosome into proximity with the ss locus "reconstituted" the gene, leading to repression. Our studies show that transvection regulates gene expression via distinct DNA elements at specific timepoints in development, with implications for genome organization and architecture.

developmental biology↗

bioRxiv2022

Avian and Human Influenza Viruses Exhibit Distinct Glycoconjugate Receptor Specificities in Human Lung Cells

IAV utilize sialic acid (Sia) containing cell surface glycoconjugates for host cell infection, and IAV strains from different host species show preferences for structurally distinct Sia at the termini of glycoconjugates. Various types of cell surface glycoconjugates (N-glycans, O-glycans, glycolipids) display significant diversity in both structure and carbohydrate composition. To define the types of glycoconjugates that facilitate IAV infection, we utilized the CRISPR/Cas9 technique to truncate different types of glycoconjugates, either individually or in combination, by targeting glycosyltransferases essential to glycan biosynthesis in a human lung epithelial cell line. Our studies show that both human and avian IAV strains do not display strict preferences for a specific type of glycoconjugate. Interestingly, truncation of all three types of glycoconjugates significantly decreased the replication of human IAV strains, yet did not impact the replication of avian IAV strains. Taken together, our studies demonstrate that avian IAV strains utilize a broader repertoire of glycoconjugates for host cell infection as compared to human IAV strains. Author SummaryIt is well known that influenza A viruses (IAV) initiate host cell infection by binding to sialic acid, a sugar molecule present at the ends of various sugar chains called glycoconjugates. These glycoconjugates can vary in chain length, structure, and composition. However, it remains unknown if IAV strains preferentially bind to sialic acid on specific glycoconjugates for host cell infection. Here, we utilized CRISPR gene editing to abolish sialic acid on different glycoconjugate types in human lung cells, and evaluated human versus avian IAV infections. Our studies show that both human and avian IAV strains can infect human lung cells by utilizing any of the three major sialic acid-containing glycoconjugate types, specifically N-glycans, O-glycans, and glycolipids. Interestingly, simultaneous elimination of sialic acid on all three glycoconjugate types in human lung cells dramatically decreased human IAV infection, yet had little effect on avian IAV infection. Our studies indicate that avian IAV strains can utilize a wide variety of glycoconjugates for infection, whereas human IAV strains display restrictions in glycoconjugate type usage. These novel studies show distinct differences in host glycoconjugate preferences between human and avian IAV strains.

microbiology↗

bioRxiv2022

Accurate and efficient protein sequence designthrough learning concise local environment of residues

Protein sequence design has been widely applied in rational protein engineering and increasing the design accuracy and efficiency is highly desired. Here we present ProDESIGN-LE, an accurate and efficient design approach, which adopts a concise but informative representation of residues local environment and trains a transformer to select an appropriate residue at a position from its local environment. ProDESIGN-LE iteratively applies the transformer on the positions in the target structure, eventually acquiring a designed sequence with all residues fitting well with their local environments. ProDESIGN-LE designed sequences for 68 naturally occurring and 129 hallucinated proteins within 20 seconds per protein on average, and the predicted structures from the designed sequences perfectly resemble the target structures with state-of-the-art average TM-score exceeding 0.80. We further experimentally validated ProDESIGN-LE by designing five sequences for an enzyme, chloramphenicol O-acetyltransferase type III (CAT III), and recombinantly expressing the proteins in E. coli. Of these proteins, three exhibited excellent solubility, and one yielded monomeric species with circular dichroism spectra consistent with the natural CAT III protein.

bioinformatics↗

bioRxiv2022

scPheno: A deep generative model to integrate scRNA-seq with disease phenotypes and its application on prediction of COVID-19 pneumonia and severe assessment

Cell-to-cell variability is orchestrated by transcriptional variations participating in different biological processes. However, the dissection of transcriptional variability in specific biological process at single-cell level remains unavailable. Here, we present a deep generative model scPheno to integrate scRNA-seq with disease phenotypes to unravel the invisible phenotype-related transcriptional variations. We applied scPheno on COVID-19 blood scRNA-seq to separate transcriptional variations in regulating COVID-19 host immunity and transcriptional variations in maintaining cell-type identity. In silico, we found CLU+IFI27+S100A9+ monocyte as the efficient cellular marker for the prediction of COVID-19 diagnosis. Inspiringly, using only 4 genes upregulated in CLU+IFI27+S100A9+ monocytes can predict the COVID-19 diagnosis of individuals from different country with an accuracy up to 81.3%. We also found C1+CD163+ monocyte and 8 C1+CD163+ monocyte-upregulated genes as the efficient biomarkers for the prediction of severity assessment. Overall, scPheno is an effective method in dissecting the transcriptional basis of phenotype variations at single-cell level.

genomics↗

bioRxiv2022

Rapid and Live-cell Detection of Senescence in Mesenchymal Stem Cells by Micro Magnetic Resonance Relaxometry

Detection of cellular senescence is important quality analytics for cell therapy products, including mesenchymal stromal cells (MSCs). However, their detection is critically limited by the lack of specific markers and the destructive assays used to read out these markers. Here, we establish a rapid, live-cell assay for detecting senescent cells using heterogeneous mesenchymal stromal cell (MSC) cultures. We report that the T2 relaxation time measured by microscale Magnetic Resonance Relaxometry ({micro}MRR), which is related to intracellular iron accumulation, correlates strongly with senescent markers in MSC cultures under diverse conditions including different passages and donors, size-sorted MSCs by inertial spiral microfluidic device, and drug-induced senescence. In addition, the live-cell and non-destructive method presented here has general applicability to other cells and tissues, and can critically advance our understanding of cellular senescence.

biophysics↗

bioRxiv2022

A small DNA virus initiates replication with no more than three genome copies per cell

Cellular organisms purge lethal mutations as they occur (in haploids), or as soon as they become homozygous (in sexually reproducing diploids), thus making the mutation-carrying genomes the sole victims of lethality. How lethal mutations in viruses are purged remains an unresolved question because numerous viral genomes could potentially replicate in the same cell, sharing their encoded proteins, hence shielding lethal mutations from selection. Previous investigations by us and others suggest that viruses with plus strand (+) RNA genomes may compel such selection by bottlenecking the replicating genome copies in each cell to low single digits. However, it is unclear if similar bottlenecks also occur in cells invaded by DNA viruses. Here we investigated whether tomato yellow leaf curl virus (TYLCV), a small virus with a single-stranded DNA genome, underwent population bottlenecking in cells of its host plants. We engineered the TYLCV genome to produce two replicons that express green fluorescent protein and mCherry, respectively, in a replication-dependent manner. We found that less than 65% of cells penetrated by both replicons replicated both, whereas at least 35% of cells replicated either of them alone, illustrating an intracellular population bottleneck size of no more than three. Furthermore, sequential inoculations unveiled strong mutual exclusions of these two replicons in most cells. Collectively our data demonstrated for the first time that DNA viruses like TYLCV are subject to stringent intracellular population bottlenecks, suggesting that such population bottlenecks may be a virus-encoded, evolutionarily conserved trait that assures timely elimination of lethal mutations. Significance statementAn important unresolved issue in virus life cycles is how natural selection acts on individual virus copies in the same cells. Unlike cellular organisms in which genome copies with lethal or advantageous mutations usually share their hosts with no more than one homologous genome copy, viruses could potentially reproduce with numerous sister genomes per cell, permitting sharing of protein products, thereby greatly diminishing phenotypic impacts of otherwise eventful mutations. Previous investigations suggest that (+) RNA viruses solve this problem by bottlenecking the number of replicating genome copies to low single digits. The current study reveals strikingly similar intracellular population bottlenecks for a DNA virus. Further mechanistic interrogations could avail the virus-encoded bottleneck-enforcing apparatus as targets for antiviral therapy and prevention.

microbiology↗