Biology subjects

Yuan, Z.

Publications and source records attributed to Yuan, Z..

At least 109 records · Page 6Linked to original sources

bioRxiv2022

Global mosquito virome profiling and mosquito spatial diffusion pathways revealed by marker-viruses

Mosquitoes are vectors of numerous emergence and reemergence of mosquito-borne diseases, leading to an overwhelming global challenge. The boom in metagenomic studies promoted the increase of mosquito viruses being described, and studies from different regions of the world showed that mosquitoes harbor abundant and diverse viromes. However, there is still a lack of large-scale systematic comparison of viromes among various ecological factors such as the mosquito species/genera, location, etc, and consistent patterns associated with these factors are not clear. Here, we provide an overview of virome profiling that integrated the perspective of mosquito genus, locations, and climates based on the global scale, and redefined the core-virome. Our results also further implicate some mosquito-associated viruses strongly associated with the ecological factors and highlighted the evidence of mosquitoes cross-regional movements by the candidate marker viruses. The study may be helpful in gaining new insights into strategies to prevent arbovirus epidemics.

microbiology↗

bioRxiv2022

Tumor microenvironments impair T cell receptor affinity and function

CD8+ T cells underpin effective anti-tumor immune responses in melanoma; however, their functions are attenuated due to various immunosuppressive factors in the tumor microenvironment (TME), resulting in disease progression. T cell function is elicited by the T cell receptor (TCR), which recognizes antigen peptide-major histocompatibility complex (pMHC) expressed on tumor cells via direct physical contact, i.e., two-dimensional (2D) interaction. TCR-pMHC 2D affinity plays a central role in antigen recognition and discrimination, and is sensitive to both the conditions of the T cell and the microenvironment in which it resides. Herein, we demonstrate that CD8+ T cells residing in TME have lower 2D TCR-pMHC bimolecular affinity and TCR-pMHC-CD8 trimolecular avidity, pull fewer TCR-pMHC bonds by endogenous forces, flux lower level of intracellular calcium in response to antigen stimulation, exhibit impaired in vivo activation, and show diminished anti-tumor effector function. These detrimental effects are localized in the tumor and tumor draining lymph node (TdLN), and affect both antigen-inexperienced and antigen-experienced CD8+ T cells irrespective of their TCR specificities. These findings implicate impaired antigen recognition as a mechanism of T cell dysfunction in the TME.

immunology↗

bioRxiv2022

Human Galectin-9 Promotes the Expansion of HIV Reservoirs in vivo in Humanized Mice

ObjectiveThe human endogenous {beta}-galactoside-binding protein Galectin-9 (Gal-9) reactivates latently HIV-infected cells, which may allow for immune-mediated clearance of these cells. However, Gal-9 also activates T cell Receptor (TCR) signaling pathways, which could negatively affect HIV persistence by promoting T cell expansion and chronic activation/exhaustion. This potential "double-edged sword" effect of Gal-9 during HIV infection raises the question of the overall beneficial versus detrimental impact of Gal-9 on HIV persistence in vivo. DesignWe used the BLT (bone marrow, liver, thymus) humanized mouse model to evaluate the overall impact of Gal-9 on HIV persistence in vivo during antiretroviral therapy (ART). MethodsTwo independent cohorts of BLT mice with high human immune reconstitution were infected with HIV, placed on ART, and then treated with either recombinant human Gal-9 or PBS during ART suppression. Plasma viral loads and levels of tissue-associated HIV DNA and RNA were measured by qPCR. Markers of T cell activation/exhaustion were measured by flow cytometry, and plasma markers of inflammation were measured by multiplex cytokine arrays. ResultsGal-9 treatment was tolerable in ART-suppressed humanized mice and did not significantly induce plasma markers of inflammation or T cell markers of activation/exhaustion. However, Gal-9 treatment during ART significantly increased levels of tissue-associated HIV DNA and RNA compared to controls (P=0.0007 and P=0.011, respectively, for cohort I and P=0.002 and P=0.005, respectively, for cohort II). ConclusionsOur study highlights the overall adverse effects of Gal-9 on HIV persistence and the potential need to block Gal-9 interactions during ART-suppressed HIV infection.

microbiology↗

bioRxiv2022

Talaromyces marneffei suppresses human macrophages inflammatory by producing the truncated protein NCOR2-013 via TUT1-regulated alternative splicing

Talaromyces marneffei (T. marneffei) immune-escaping is an important factor for high mortality of talaromycosis. It is currently known that T. marneffei performs these functions through a variety of strategies, however, the role of alternative splicing (AS) in this process is poorly understood. Here we depicted the AS landscape in the macrophage upon T. marneffei infection via high-throughput RNA sequencing. Moreover, we identified a truncated protein of NCOR2/SMRT, namedly NCOR2-013, was significantly upregulated upon T. marneffei infection. Mechanistic analysis indicates that NCOR2-013 forms a co-repression complex with TBL1XR1/TBLR1 and HDAC3, thereby inhibiting JunB-mediated transcriptional activation of pro-inflammatory cytokines via the inhibition of histone acetylation. Also, we identified TUT1 as the AS regulator that involved in facilitating T. marneffei immune evasion via regulation of NCOR2-013 production. Collectively, the findings indicate that T. marneffei escapes macrophages killing through the TUT1-mediated the alternative splicing of NCOR2-013, which providing a new insight into the molecular mechanisms of T. marneffei immune evasion, and a potential targets for talaromycosis therapy.

microbiology↗

bioRxiv2022

MINE is a method for detecting spatial density of regulatory chromatin interactions based on a MultI-modal NEtwork

Chromatin interactions play essential roles in chromatin conformation and gene expression. However, few tools exist to analyze the spatial density of regulatory chromatin interactions. Here, we present the MultI-modal NEtwork (MINE) toolkit, including MINE-Loop, MINE-Density, and MINE-Viewer. MINE-Loop network modeling integrates Hi-C, ATAC-seq, and histone ChIP-seq data to enhance the detection of regulatory chromatin interactions (RCIs, i.e., chromatin interactions that are anchoring regulatory elements to chromatin); MINE-Density quantifies the spatial density of regulatory chromatin interactions identified by MINE-Loop within different chromatin conformations; and MINE-Viewer facilitates 3D visualization of the density of chromatin interactions and participating regulatory factors, such as transcription factors. We applied MINE to investigate the relationship between the spatial density of regulatory chromatin interactions (SD-RCI) and chromatin volume change in HeLa cells before and after liquid-liquid phase separation. Changes in SD-RCI before and after treating the HeLa cells with 1,6-hexanediol showed that the change in chromatin volume was related to the degree of activation or repression of genes in chromatin interactions. The MINE toolkit provides a new method for quantitative study of chromatin conformation. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=187 HEIGHT=200 SRC="FIGDIR/small/499656v1_ufig1.gif" ALT="Figure 1"> View larger version (51K): org.highwire.dtl.DTLVardef@1705cc8org.highwire.dtl.DTLVardef@1db89adorg.highwire.dtl.DTLVardef@2be8e4org.highwire.dtl.DTLVardef@c6f1a6_HPS_FORMAT_FIGEXP M_FIG C_FIG In BriefGong et al. provide a toolkit MINE to explore the relationship between spatial density of regulatory chromatin interactions, gene expression and chromatin structure change. HighlightsO_LIMINE toolkit was provided to detect more regulatory chromatin interactions (RCI), count the spatial density of regulatory chromatin interactions and visualize the density of chromatin interactions with transcription factors in three-dimension. C_LIO_LIChromatin regions were divided into developed active hub, developing active hub, developed repressive hub, and developing repressive hub according to the density of active or repressive regulatory chromatin interactions. C_LIO_LIThe change of chromatin structure before and after liquid-liquid phase separation is quantitively described by using the MINE toolkit. C_LI

bioinformatics↗

bioRxiv2022

Response of sugarcane rhizosphere soil fungal communities on a temporal gradient to changes in critical growth periods

Understanding the normal variation of the sugarcane rhizosphere fungal microbiota throughout its life cycle is essential for the development of agricultural practices for fungal diseases (e.g., sugarcane tip rot, sugarcane red rot, and sugarcane smut) and ecological health associated with the microbiota. Therefore, we performed high-throughput sequencing of 18S rDNA of soil samples using the Illumina sequencing platform for correlation analysis of sugarcane rhizosphere microbiota time series, covering information from 84 samples in four growth periods. The results revealed that the sugarcane rhizosphere fungi possessed the maximum fungal richness in July (Tillering). Rhizosphere fungi are closely associated with sugarcane growth, including Ascomycota, Basidiomycota, and Ochrophyta showed high abundance in a stage-specific manner. Through the Manhattan plots, 11 fungal genera were found to show a decreasing trend throughout the sugarcane growth period, and two fungal genera were significantly enriched at three stages of sugarcane growth (p < 0.05) including Pseudallescheria and Nectriaceae. In addition, soil pH, soil temperature (Tem), total nitrogen (TN) and total potassium (TP) were important drivers of fungal community structure at different stages of sugarcane growth. Using structural equation modeling (SEM) found that sugarcane disease status showed a significant and strong negative effect with selected soil properties, suggesting that poor soil may increase the likelihood of sugarcane disease. In addition changes in sugarcane rhizosphere community structure over time were mainly influenced by stochastic factors, but the contribution decreased to the lowest value after the sugarcane root adaptation system was stabilized (Maturity). IMPORTANCERhizosphere microbes are closely related to plant growth, and more studies have shown that the rhizosphere fungal microbial community has an important influence on plant health and growth status. However, little is known about the response of the rhizosphere fungal community to plant growth during the critical plant reproductive period. In this study, we analyzed the important response of the rhizosphere fungal community of sugarcane through the pattern of abundance changes in its critical growth nodes by various methods to investigate the subtle changes in the assembly of the rhizosphere fungal community with the growth of sugarcane. Our work provides innovative ideas for the prevention of soil-borne diseases in plants and also provides a solid basis for the development of microbial models of crops rhizosphere soil.

microbiology↗

bioRxiv2022

Spatial-ID: a cell typing method for spatially resolved transcriptomics via transfer learning and spatial embedding

Spatially resolved transcriptomics (SRT) provides the opportunity to investigate the gene expression profiles and the spatial context of cells in naive state. Cell type annotation is a crucial task in the spatial transcriptome analysis of cell and tissue biology. In this study, we propose Spatial-ID, a supervision-based cell typing method, for high-throughput cell-level SRT datasets that integrates transfer learning and spatial embedding. Spatial-ID effectively incorporates the existing knowledge of reference scRNA-seq datasets and the spatial information of SRT datasets. A series of quantitative comparison experiments on public available SRT datasets demonstrate the superiority of Spatial-ID compared with other state-of-the-art methods. Besides, the application of Spatial-ID on a SRT dataset with 3D spatial dimension measured by Stereo-seq shows its advancement on the large field tissues with subcellular spatial resolution.

genomics↗

bioRxiv2022

Preclinical evaluation of RQ3013, a broad-spectrum mRNA vaccine against SARS-CoV-2 variants

The global emergence of SARS-CoV-2 variants has led to increasing breakthrough infections in vaccinated populations, calling for an urgent need to develop more effective and broad-spectrum vaccines to combat COVID-19. Here we report the preclinical development of RQ3013, an mRNA vaccine candidate intended to bring broad protection against SARS-CoV-2 variants of concern (VOCs). RQ3013, which contains pseudouridine-modified mRNAs formulated in lipid nanoparticles, encodes the spike(S) protein harboring a combination of mutations responsible for immune evasion of VOCs. Here we characterized the expressed S immunogen and evaluated the immunogenicity, efficacy, and safety of RQ3013 in various animal models. RQ3013 elicited robust immune responses in mice, hamsters, and nonhuman primates (NHP). It can induce high titers of antibodies with broad cross-neutralizing ability against the Wild-type, B.1.1.7, B.1.351, B.1.617.2, and the omicron B.1.1.529 variants. In mice and NHP, two doses of RQ3013 protected the upper and lower respiratory tract against infection by SARS-CoV-2 and its variants. We also proved the safety of RQ3013 in NHP models. Our results provided key support for the evaluation of RQ3013 in clinical trials.

immunology↗

bioRxiv2022

Cooperative ectodomain interaction among TCRαβ, CD3γε, and CD3δε enhances TCR mechanotransduction

TCR signaling poses a mechanical problem: pMHC binding occurs at the TCR{beta} ectodomain (ECD) head, whereas ITAM phosphorylation occurs on CD3 cytoplasmic tails. Chemistry cannot bridge this >10 nm gap, requiring the two events to be coupled through the TCR-CD3 interface, thus involving conformational allostery and being regulatable by force. Although weak ECD cis-interactions between TCR{beta} and CD3 have been proposed to contribute to this coupling, their kinetics and mechanical competence remain elusive. Here, we quantify TCR{beta}-CD3 ECD cis-interactions in a pseudo-cis configuration using two-dimensional binding and single-bond force spectroscopy, finding that TCR{beta}-CD3{gamma}{varepsilon} and TCR{beta}-CD3{delta}{varepsilon} interactions have low affinity and rapid kinetics, yet form catch bonds. Critically, concurrent engagement of CD3{gamma}{varepsilon} and CD3{delta}{varepsilon} produces high cis-cooperativity, yielding a stronger and longer-lasting CD3{gamma}{varepsilon}-TCR{beta}-CD3{delta}{varepsilon} trimolecular catch bond than the sum of the two dimeric bonds, with force-stabilized lifetimes matching those of agonist TCR-pMHC trans-interaction. Molecular dynamics simulations reveal an expanded, cooperative, and asymmetric contact network, making CD3{delta}{varepsilon} more force-responsive and susceptible to conformational change than CD3{gamma}{varepsilon}. Interface mutations do not alter force-free affinities but remodel cooperative cis-bond profiles, leading to an inverse correlation with trans-bond profiles and T cell signaling. These results identify cooperative ECD cis-interaction as a mechanically regulatable allosteric coupling element at the TCR-CD3 junction important to antigen recognition and signal initiation.

immunology↗

bioRxiv2022

Additive and Dominant Loci Jointly Pyramiding the Grain Quality of Hybrid Rice

Hybrid rice has an advantage in its heterosis, resulting in high yield and resistance to biotic and abiotic stress. However, genetic improvement of grain quality is more challenging in hybrid rice than in inbred rice due to additional complexity, such as the dominant effect. It is critical to identify a path to efficiently develop inbreds and identify their superior crosses for hybrid production. Here, we developed a pipeline for joint analysis of phenotypes, effects, and generations (JPEG) and analysed 113 inbred varieties as male parents, five tester varieties as female parents, and their 565 (113x5) hybrid testcrosses for 12 grain quality traits, including grain length and width, chalkiness, and amylose content. A total of 1,619,588 single nucleotide polymorphisms were obtained for the parent varieties and inferred for the hybrids using whole-genome sequencing with an average sequencing depth of 11x. Genome-wide association studies with JPEG identified 128 loci associated with at least one of the 12 traits. There were 44 and 97 loci with additive and dominant effects, respectively, including 13 overlaps. Among the 128 associated loci, 42 loci are located in or near (<200 kb) 17 known genes. Pyramiding genetic loci with additive and/or dominant effects in genomic selection dramatically improves the accuracy of predicting hybrid performances. More than 45% of genetic variation was explained by the identified markers for all traits except one (30%). These results demonstrate that pyramiding genetically identified additive and dominant loci can afford substantial power for predicting hybrid performances, presenting opportunities to identify superior crosses from existing phenotypes and genotypes of inbreds and hybrids.

plant biology↗

bioRxiv2022

Efficient rescue of a newly classified Ebinur lake orthobunyavirus with GFP reporter and its application in rapid antiviral screening

Orthobunyaviruses have been reported to cause severe diseases in humans or animals, posing a threat to human health and social economy. Ebinur lake virus (EBIV) is a newly classified orthobunyavirus, which needs further intensive study and therapies to cope with its potential infection risk to human and animals. Here, through the reverse genetics system, the recombinant EBIV of wild type (rEBIV/WT) and NP-conjugated-eGFP (rEBIV/eGFP/S) were rescued for the application of the rapid antiviral drug screening. The eGFP fluorescence signal of the rEBIV/eGFP/S was stable in the process of successive passage in BHK-21 cells (over 10 passages) and this recombinant virus could replicate in various cell lines. Compared to the wild type EBIV, the rEBIV/eGFP/S caused the smaller plaques and its peak titers were lower, suggesting attenuation due to the eGFP insertion. Through the high-content screening (HCS) system, ribavirin showed an inhibitory effect on the rEBIV/eGFP/S with an EC50 of 21.91 M, while favipiravir did not inhibit, even at high concentrations. In addition, five of ninety-six natural compounds had antiviral against EBIV. The robust reverse genetics system for EBIV will facilitate investigation into replication and assembly mechanisms and assist drug and vaccine development.

molecular biology↗

bioRxiv2022

Vector competence and transcriptional response of Aedes aegypti for Ebinur Lake virus, a newly mosquito-borne orthobunyavirus

The global impact of mosquito-borne diseases is increasing in the last decades. The newly classified orthobunyavirus, Ebinur Lake virus (EBIV) has been verified with highly virulent pathogenic to adult laboratory mice, and antibodies against EBIV have been detected in humans. As a potential emerging virus, it is necessary to assess the vector capacity of mosquitoes for EBIV to predicting its risk to public health. Herein, Aedes aegypti, the gradually important vector in China, was used as a model to evaluate the vector competence for EBIV. It was showed that EBIV can be transmitted by Ae. aegypti through oral feeding and the transmission rates could get to 11.8% at 14 days post infection (dpi). The highest infection rate, dissemination rate and ovary infection rate were 70%, 42.9%, and 29.4%, respectively. Through intrathoracic infection, Ae. aegypti was highly susceptible to EBIV and the transmission rates could get to 90% at 10 dpi. Moreover, the infection rate, dissemination rate and ovary infection rate were all 100%. Transcriptome analysis demonstrated EBIV can alter expressions of mosquito genes related to immune-related process and metabolism-related process. Defensin-C and chitinase 10 had been continuously down-regulated in the mosquitoes infected by intrathoracic inoculation. Our studies made the comprehensive analysis of the vector competence and transcriptional response of Ae. aegypti for EBIV, which implied the potential risk of EBIV to public health. Moreover, these findings indicated a complex interplay between EBIV and the mosquito immune system to affect the vector transmission capability.

molecular biology↗

bioRxiv2022

The structure, binding, and function of a Notch transcription complex involving RBPJ and the epigenetic reader protein L3MBTL3

The highly conserved Notch pathway transmits signals between neighboring cells to elicit distinct downstream transcriptional programs. In given contexts, Notch is a major regulator of cell fate specification, proliferation, and apoptosis, such that aberrant Notch signaling leads to a pleiotropy of human diseases, including developmental disorders and cancers. The canonical pathway signals through the transcription factor CSL (RBPJ in mammals), which forms a transcriptional activation complex with the intracellular domain of the Notch receptor and the coactivator Mastermind. CSL can also function as a transcriptional repressor by forming complexes with one of several different corepressor proteins, such as FHL1 or SHARP in mammals and Hairless in Drosophila. Recently, we identified the malignant brain tumor (MBT) family member L3MBTL3 as a bona fide RBPJ binding corepressor that recruits the repressive lysine demethylase LSD1/KDM1A to Notch target genes. Here we define the RBPJ-interacting domain (RBP-ID) of L3MBTL3 and report the 2.06 [A] crystal structure of the complex formed between RBPJ, the RBP-ID of L3MBTL3 and DNA. The structure reveals the molecular interactions underlying L3MBTL3 complexation with RBPJ, which we comprehensively analyze with a series of L3MBTL3 and RBPJ mutations that span the binding interface. Compared to other RBPJ-binding proteins, we find that L3MBTL3 interacts with RBPJ via an unusual binding motif, which is sensitive to mutations throughout its RBPJ-interacting region. We also show that these disruptive mutations affect RBPJ and L3MBTL3 function in cells, providing further insights into Notch mediated transcriptional regulation.

biochemistry↗

bioRxiv2021

Mature Neurons sensitivity to oxidative stress is epigenetically programmed by alternative splicing and mRNA stability

Neuronal differentiation is a complex process that entails extensive morphological, transcriptional, metabolic, and functional changes that dictate neuronal lineage commitment. Much less understood is the role that epigenetic and epi-transcriptional reprogramming plays in the process of neuronal differentiation and maturation. To depict the whole landscape of transcriptomics and epigenetic changes during neuronal differentiation and maturation, we differentiated SH-SY5Y cells and performed RNA sequencing on differentiated and undifferentiated cells. 728 differentially expressed genes (DEGs) enriched in synaptic signaling and cell morphogenesis pathways were observed. Moreover, transcriptome-wide mRNA stability profiling revealed that genes with altered stability were exceptionally enriched for redox homeostasis pathways. Mature neurons are known to be highly sensitive to oxidative stress, which is crucial in the pathophysiology of neurodegenerative disease. Our results suggest that this heightened sensitivity is regulated at the mRNA stability level (i.e., epigenetic) rather than at the transcriptional level. Alternative splicing analysis revealed the exon skipping and alternative mRNA isoforms enriched for morphogenesis related pathway. Alternatively, alternative 5 and 3 prime splicing site, intron retention and mutually exclusive exon events exclusively clustered in the translation and translation initiation pathways, suggesting the potential effect of alternative splicing on translation following neuronal maturation. Splice motif analysis revealed enriched motifs for RBPs that regulate various splice types and can be further correlated to distinct phenotypical changes during neuronal differentiation and maturation. Here we present an extensive exploration of the transcriptional and epigenetic changes and their potential association with the process of neuronal differentiation, providing a new insight into understanding the molecular mechanism of neuronal function and behavior.

molecular biology↗

bioRxiv2021

Adjustment for SNPs instead of demographic and clinical covariates in GWAS

With capabilities of sequencing ancient DNA to high coverage often limited by sample quality or cost, imputation of missing genotypes presents a possibility to increase power of inference as well as cost-effectiveness for the analysis of ancient data. However, the high degree of uncertainty often associated with ancient DNA poses several methodological challenges, and performance of imputation methods in this context has not been fully explored. To gain further insights, we performed a systematic evaluation of imputation of ancient data using Beagle 4.0 and reference data from phase 3 of the 1000 Genomes project, investigating the effects of coverage, phased reference and study sample size. Making use of five ancient samples with high-coverage data available, we evaluated imputed data with respect to accuracy, reference bias and genetic affinities as captured by PCA. We obtained genotype concordance levels of over 99% for data with 1x coverage, and similar levels of accuracy and reference bias at levels as low as 0.75x. Our findings suggest that using imputed data can be a realistic option for various population genetic analyses even for data in coverage ranges below 1x. We also show that a large and varied phased reference set as well as the inclusion of low-to moderate-coverage ancient samples can increase imputation performance, particularly for rare alleles. In-depth analysis of imputed data with respect to genetic variants and allele frequencies gave further insight into the nature of errors arising during imputation, and can provide practical guidelines for post-processing and validation prior to downstream analysis.

genetics↗

bioRxiv2021

Dynamic interplay between structural variations and 3D chromosome organization in pancreatic cancer

Structural variations (SVs) are the greatest source of variation in the genome and can lead to oncogenesis. However, the identification and interpretation of SVs in human pancreatic cancer remain largely undefined due to technological limitations. Here, we investigate the spectrum of SVs and three-dimensional (3D) chromatin architecture in human pancreatic ductal epithelial cell carcinogenesis by using state-of-the-art long- read single-molecule real-time (SMRT) and high-throughput chromosome conformation capture (Hi-C) sequencing techniques. We find that the 3D genome organization is remodeled and correlated with gene expressional change. The bulk remodeling effect of cross-boundary SVs in the 3D genome partly depends on intercellular genomic heterogeneity. Meanwhile, contact domains tend to minimize these disrupting effects of SVs within local adjacent genomic regions to maintain overall stability of 3D genome organization. Moreover, our data also demonstrates complex genomic rearrangements involving two key driver genes CDKN2A and SMAD4, and elucidates their influence on cancer-related gene expression from both linear view and 3D perspective. Overall, this study provides a valuable resource and highlights the impact, complexity and dynamicity of the interplay between SVs and 3D genome organization, which further expands our understanding of pathogenesis of SVs in human pancreatic cancer.

genetics↗

bioRxiv2021

Consequence of adjustments for demographic or clinical covariates and a recommended solution in genome-wide association studies

Genome-wide association study (GWAS) is fundamentally designed to detect disease-causing genes. To reduce spurious associations or improve statistical power, about 80% of GWASs arbitrarily adjusted for demographic or clinical covariates. However, adjustment strategies in GWASs have not achieved consistent conclusions. Given the initial aim of GWAS that is to identify the causal association between a specific causal single-nucleotide polymorphism (SNP) and disease trait, we summarized all complex relationships of the target SNP, covariate and disease trait into 15 causal diagrams according to various roles of the covariate. Following each causal diagram, we conducted a series of theoretical justifications and statistical simulations. Our results demonstrate that it is unadvisable to adjust for any demographic or clinical covariates. We illustrate our point by applying GWASs for body mass index (BMI) and breast cancer, including adjusting and non-adjusting for age and smoking status. Genetic effects and P values might vary across different strategies. Instead, adjustments for SNPs (G') should be strongly recommended when G' are in linkage disequilibrium with the target SNP, and correlated with disease trait conditional on the target SNP. Specifically, adjustment for such G' can block all the confounding paths between the target SNP and disease trait, and avoid over-adjusting for colliders or intermediaries.

bioinformatics↗

bioRxiv2021

Neural decoding dissociates perceptual grouping between proximity and similarity in visual perception

Previous research on perceptual grouping primarily focused on the dynamics of single grouping principle in light of the Gestalt psychology. Yet, there has been comparatively little emphasis on the dissociation across two or more grouping principles. To tackle this issue, the current study aims at investigating how, when, and where the processing of two grouping principles (proximity and similarity) are established in the human brain by using a dimotif lattice paradigm and adjusting the strength of one grouping principle. Specifically, we measured the modulated strength of the other grouping principle, thus forming six visual stimuli. The current psychophysical results showed that similarity grouping effect was enhanced with reduced proximity effect when the grouping cues of proximity and similarity were presented simultaneously. Meanwhile, electrophysiological (EEG) response patterns were able to decode the specific pattern out of the six visual stimuli involving both principles in each trail by using time-resolved multivariate pattern analysis (MVPA). The onsets of the dissociation between the two grouping principles coincided within three time windows: the earliest proximity-defined local visual element arrangement in the middle occipital cortex, the middle-stage processing for feature selection modulating low-level visual cortex in the inferior occipital cortex and fusiform cortex, and the higher-level cognitive integration to make decisions for specific grouping preference in the parietal areas. In addition, brain responses were highly correlated with behavioral grouping. The results therefore provide direct evidence for a link between human perceptual space of grouping decision-making and neural space of these brain response patterns. Significance statementHow does our brain aggregate meaningless local elements to meaningful global patterns? Here, we used visual stimuli that can be perceived as a whole orientation from one of the two grouping cues (proximity and similarity) when they were presented simultaneously. Behavioral responses showed a trade-off between proximity and similarity. Further, time-resolved MVPA and source estimation results showed three stages for the processing of two grouping cues, involving an early stage in the low-level visual cortex, then the middle stage in the lateral visual cortex, and finally the late stage in the parietal areas. This was among the first attempt employing multivariate analysis to decode the dissociative processing of both proximity and similarity principles within one single study.

neuroscience↗